<article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" dtd-version="1.0" article-type="review-article">
  <front>
    <journal-meta>
      <journal-id journal-id-type="nlm-ta">Microstructures</journal-id>
      <journal-id journal-id-type="publisher-id">microstructures</journal-id>
      <journal-title-group>
        <journal-title>Microstructures</journal-title>
      </journal-title-group>
      <issn pub-type="epub">2770-2995</issn>
      <publisher>
        <publisher-name>OAE Publishing Inc.</publisher-name>
      </publisher>
    </journal-meta>
    <article-meta>
      <article-id pub-id-type="doi">10.20517/microstructures.2025.173</article-id>
      <article-id pub-id-type="publisher-id">MICROSTRUCTURES-2025-173</article-id>
      <article-categories>
        <subj-group>
          <subject>Review</subject>
        </subj-group>
      </article-categories>
      <title-group>
        <article-title>Nano-TPD for precision protein degradation via endogenous or exogenous triggered release</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <name>
            <surname>Liu</surname>
            <given-names>Zishu</given-names>
          </name>
          <xref ref-type="aff" rid="I1">
            <sup>1</sup>
          </xref>
          <xref ref-type="aff" rid="I2">
            <sup>2</sup>
          </xref>
          <xref ref-type="aff" rid="I1035">
            <sup>#</sup>
          </xref>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Zhang</surname>
            <given-names>Guangshuai</given-names>
          </name>
          <xref ref-type="aff" rid="I1">
            <sup>1</sup>
          </xref>
          <xref ref-type="aff" rid="I3">
            <sup>3</sup>
          </xref>
          <xref ref-type="aff" rid="I1035">
            <sup>#</sup>
          </xref>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Yan</surname>
            <given-names>Si</given-names>
          </name>
          <xref ref-type="aff" rid="I1">
            <sup>1</sup>
          </xref>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Xiao</surname>
            <given-names>Jin</given-names>
          </name>
          <xref ref-type="aff" rid="I1">
            <sup>1</sup>
          </xref>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Cao</surname>
            <given-names>Zhi</given-names>
          </name>
          <xref ref-type="aff" rid="I4">
            <sup>4</sup>
          </xref>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Guo</surname>
            <given-names>Xiaoqian</given-names>
          </name>
          <xref ref-type="aff" rid="I1">
            <sup>1</sup>
          </xref>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Liao</surname>
            <given-names>Gang</given-names>
          </name>
          <xref ref-type="aff" rid="I3">
            <sup>3</sup>
          </xref>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Peng</surname>
            <given-names>Rui</given-names>
          </name>
          <xref ref-type="aff" rid="I1">
            <sup>1</sup>
          </xref>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Liu</surname>
            <given-names>Xingyun</given-names>
          </name>
          <xref ref-type="aff" rid="I5">
            <sup>5</sup>
          </xref>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Tan</surname>
            <given-names>Ziyu</given-names>
          </name>
          <xref ref-type="aff" rid="I1">
            <sup>1</sup>
          </xref>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Xie</surname>
            <given-names>Qingqing</given-names>
          </name>
          <xref ref-type="aff" rid="I1">
            <sup>1</sup>
          </xref>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Luo</surname>
            <given-names>Wei</given-names>
          </name>
          <xref ref-type="aff" rid="I1">
            <sup>1</sup>
          </xref>
        </contrib>
        <contrib contrib-type="author" corresp="yes">
          <name>
            <surname>Xiao</surname>
            <given-names>Xiaohe</given-names>
          </name>
          <xref ref-type="aff" rid="I1">
            <sup>1</sup>
          </xref>
          <xref ref-type="aff" rid="I2">
            <sup>2</sup>
          </xref>
          <xref ref-type="corresp" rid="cor1">*</xref>
        </contrib>
        <contrib contrib-type="author" corresp="yes">
          <name>
            <surname>Qin</surname>
            <given-names>Shuanglin</given-names>
          </name>
          <xref ref-type="aff" rid="I1">
            <sup>1</sup>
          </xref>
          <xref ref-type="aff" rid="I2">
            <sup>2</sup>
          </xref>
          <xref ref-type="corresp" rid="cor1">*</xref>
        </contrib>
      </contrib-group>
      <aff id="I1"><sup>1</sup>Research Center for Precision Medication of Chinese Medicine, FuRong Laboratory, School of Pharmacy, Hunan University of Chinese Medicine, Changsha 410208, Hunan, China.</aff>
      <aff id="I2"><sup>2</sup>Senior Department of Hepatology, China Military Institute of Chinese Materia, the Fifth Medical Center of PLA General Hospital, Beijing 100039, China.</aff>
      <aff id="I3"><sup>3</sup>Xiangya School of Pharmaceutical Sciences, Furong Laboratory, Central South University, Changsha 410083, Hunan, China.</aff>
      <aff id="I4"><sup>4</sup>Department of Pharmacology, Shantou University Medical College, Shantou 515041, Guangdong, China.</aff>
      <aff id="I5"><sup>5</sup>Institute of Clinical Pharmacy, the Affiliated Nanhua Hospital, Hengyang Medical School, University of South China, Hengyang 421001, Hunan, China.</aff>
      <aff id="I1035"><sup>#</sup>Authors contributed equally.</aff>
      <author-notes>
        <corresp id="cor1">Correspondence to: Prof. Xiaohe Xiao, Prof. Shuanglin Qin, Research Center for Precision Medication of Chinese Medicine, FuRong Laboratory, School of Pharmacy, Hunan University of Chinese Medicine, Changsha 410208, Hunan, China. E-mail: <email>pharmacy302@126.com</email>; <email>shuanglin@tju.edu.cn</email></corresp>
        <fn fn-type="other">
          <p><bold>Received:</bold> 23 Dec 2025 | <bold>First Decision:</bold> 6 Feb 2026 | <bold>Revised:</bold> 24 Feb 2026 | <bold>Accepted:</bold> 17 Mar 2026 | <bold>Published:</bold> 16 Jun 2026</p>
        </fn>
        <fn fn-type="other">
          <p><bold>Academic Editors:</bold> Yuxiao Lai, Junjie Xiao | <bold>Copy Editor:</bold> Ping Zhang | <bold>Production Editor:</bold> Ping Zhang</p>
        </fn>
      </author-notes>
      <pub-date pub-type="ppub">
        <year>2026</year>
      </pub-date>
      <pub-date pub-type="epub">
        <day>16</day>
        <month>6</month>
        <year>2026</year>
      </pub-date>
      <volume>6</volume>
	  <issue>4</issue>
      <elocation-id>2026084</elocation-id>
      <permissions>
        <copyright-statement>© The Author(s) 2026.</copyright-statement>
        <license xlink:href="https://creativecommons.org/licenses/by/4.0/">
          <license-p>© The Author(s) 2026.<bold>Open Access</bold>This article is licensed under a Creative Commons Attribution 4.0 International License (<uri xlink:href="https://creativecommons.org/licenses/by/4.0/">https://creativecommons.org/licenses/by/4.0/</uri>), which permits unrestricted use, sharing, adaptation, distribution and reproduction in any medium or format, for any purpose, even commercially, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.</license-p>
        </license>
      </permissions>
      <abstract>
        <p>Targeted protein degradation (TPD) technology offers a revolutionary approach for precise intervention against “undruggable” targets by exploiting intracellular pathways such as the ubiquitin-proteasome system and the autophagy-lysosome system. However, its clinical translation faces significant challenges, including limited delivery efficiency, poor tissue specificity, and off-target toxicity. The integration of nanotechnology with TPD not only overcomes the physicochemical limitations of traditional TPD molecules [e.g., Proteolysis-Targeting Chimeras (PROTACs), Autophagosome-Tethering Compounds (ATTECs), Lysosome-Targeting Chimeras (LYTACs), molecular glues] through the design of functionalized carriers but also equips these systems with spatiotemporal precision activation via diverse regulation of “initiation conditions”. This review systematically traces the developmental trajectory and fundamental mechanisms of TPD technology, explores the delivery characteristics and principles of functional modification in nanocarriers, and comprehensively discusses the design strategies, mechanisms, and recent advances of nanotyped TPD systems categorized by their initiation conditions: endogenous microenvironment-responsive [pH, enzyme, reactive oxygen species (ROS)/glutathione (GSH)], exogenous stimulus-initiated (light, magnetic, ultrasound, bioorthogonal reaction), and multi-conditionally co-initiated systems (endogenous-endogenous and endogenous-exogenous signal synergy). Furthermore, this review highlights key challenges in the field, such as carrier biocompatibility, modulation of degradation efficiency, and <italic>in vivo</italic> fate tracking, while outlining critical directions for clinical translation, including personalized customization, intelligent logic gating, and multimodal characterization. By providing a systematic theoretical framework and practical insights, this review aims to promote cross-disciplinary integration and foster innovative drug development at the intersection of nanotechnology and TPD.</p>
      </abstract>
      <kwd-group>
        <kwd>Targeted protein degradation</kwd>
        <kwd>nanocarriers</kwd>
        <kwd>endogenous response</kwd>
        <kwd>exogenous stimuli</kwd>
        <kwd>ubiquitin-proteasome system</kwd>
        <kwd>precision delivery</kwd>
      </kwd-group>
    </article-meta>
  </front>
  <body>
    <sec id="sec1">
      <title>INTRODUCTION</title>
      <p>Traditional drug development strategies have primarily focused on inhibiting or activating the functions of target proteins<sup>[<xref ref-type="bibr" rid="B1">1</xref>]</sup>. However, many diseases arise not from abnormal protein function, but from the aberrant accumulation or overexpression of proteins within cells<sup>[<xref ref-type="bibr" rid="B2">2</xref>]</sup>. These proteins often carry significant clinical relevance yet remain challenging to target effectively. To overcome these limitations, strategies that directly eliminate abnormal proteins have become increasingly vital<sup>[<xref ref-type="bibr" rid="B3">3</xref>]</sup>. In recent years, Targeted Protein Degradation (TPD) technology has emerged as a promising solution. This encompasses approaches such as Proteolysis-Targeting Chimeras (PROTACs), Molecular Glue Degraders, Autophagy-Targeting Chimeras (AUTACs), Autophagosome-Tethering Compounds (ATTECs), Lysosome-Targeting Chimeras (LYTACs), and related derivatives<sup>[<xref ref-type="bibr" rid="B4">4</xref>]</sup>. Operating through an “event-driven” catalytic mode, TPD functions effectively at sub-stoichiometric ratios, overcoming the limitations of traditional small-molecule drugs by precisely targeting previously intractable proteins<sup>[<xref ref-type="bibr" rid="B5">5</xref>-<xref ref-type="bibr" rid="B9">9</xref>]</sup>. This breakthrough opens new avenues for drug development. As an innovative therapeutic strategy, the core advantage of TPD lies in its ability to induce the degradation of specific intracellular proteins rather than merely inhibiting enzymatic activity<sup>[<xref ref-type="bibr" rid="B10">10</xref>]</sup>. By harnessing the cell’s intrinsic Ubiquitin-Proteasome System (UPS) or lysosomal degradation pathways, TPD has demonstrated substantial potential across various disease areas, including cancer and neurodegenerative disorders<sup>[<xref ref-type="bibr" rid="B11">11</xref>]</sup>.</p>
      <p>Nevertheless, each TPD technology has inherent limitations, and clinical translation remains constrained by multiple intrinsic challenges<sup>[<xref ref-type="bibr" rid="B12">12</xref>]</sup>. For example, PROTACs typically possess large molecular weights (> 800 Da), violating Lipinski’s Rule of Five, which leads to poor membrane permeability, low oral bioavailability, off-target toxicity, and the potential for a “hook effect”<sup>[<xref ref-type="bibr" rid="B13">13</xref>-<xref ref-type="bibr" rid="B16">16</xref>]</sup>. Although Molecular Glue Degraders benefit from favorable molecular size and drug-likeness, their mode of action depends on inducing novel protein - protein interaction interfaces, making molecular discovery heavily reliant on empirical screening and posing significant obstacles to rational design<sup>[<xref ref-type="bibr" rid="B17">17</xref>]</sup>. Moreover, molecules containing electrophilic groups may cause non-specific protein modifications and broad-spectrum cytotoxicity<sup>[<xref ref-type="bibr" rid="B18">18</xref>]</sup>. In autophagy-based strategies like ATTECs, degradation efficiency is highly dependent on endogenous autophagic flux, which varies considerably among tissues and disease states, complicating efforts to achieve stable and tumor-selective degradation<sup>[<xref ref-type="bibr" rid="B19">19</xref>]</sup>. Lysosome-targeting technologies such as LYTACs have broadened the target scope to include membrane and secreted proteins; however, they face challenges related to complex molecular structures, limited tissue penetration, and non-specific receptor expression that can induce degradation in normal tissues<sup>[<xref ref-type="bibr" rid="B20">20</xref>,<xref ref-type="bibr" rid="B21">21</xref>]</sup>. Thus, further optimization is needed to enhance monotherapy efficacy and safety. Collectively, these challenges suggest that focusing solely on structural optimization of TPD molecules is insufficient to overcome the bottlenecks hindering clinical translation<sup>[<xref ref-type="bibr" rid="B22">22</xref>]</sup>.</p>
      <p>Nanocarriers, as advanced drug delivery platforms, offer a highly promising strategy to address the limitations of TPD technology<sup>[<xref ref-type="bibr" rid="B23">23</xref>]</sup>. Typically ranging in size from 1 to 1,000 nanometers, nanocarriers, including liposomes, polymeric nanoparticles, and micelles, can encapsulate and protect drug molecules, prolong their circulation time in the bloodstream, and preferentially accumulate at target sites via the enhanced permeability and retention (EPR) effect or through active targeting using ligands such as antibodies or peptides<sup>[<xref ref-type="bibr" rid="B24">24</xref>]</sup>. Moreover, nanocarriers can be engineered to respond to tumor microenvironmental cues, such as acidic pH, elevated glutathione levels, and reactive oxygen species, or to external stimuli like light and heat, enabling precise spatiotemporal control over drug release. These capabilities have significantly advanced the pharmacokinetics and therapeutic efficacy of a wide range of therapeutics, including small molecules, nucleic acids, and protein-based drugs<sup>[<xref ref-type="bibr" rid="B25">25</xref>]</sup>. Furthermore, the surface engineering of nanocarriers can optimize the interfacial interactions between biomolecules and functional substrates, demonstrating that nanotechnology exhibits broad applicability in enhancing the performance of bioactive molecules, extending beyond traditional drug delivery<sup>[<xref ref-type="bibr" rid="B26">26</xref>]</sup>.</p>
      <p>The integration of nanotechnology with TPD strategies has demonstrated significant advantages, effectively addressing the limitations of various TPD approaches<sup>[<xref ref-type="bibr" rid="B27">27</xref>]</sup>. For instance, nano-PROTACs enhance cellular permeability and bioavailability by encapsulating PROTACs at the nanoscale, promoting accumulation in tumor tissues via the EPR effect, and minimizing off-target toxicity through surface functionalization or stimulus-responsive release<sup>[<xref ref-type="bibr" rid="B28">28</xref>]</sup>. Self-assembled, stimulus-responsive nano-molecular glues, designed to respond to elevated glutathione (GSH) or hydrogen peroxide (H<sub>2</sub>O<sub>2</sub>) levels in the tumor microenvironment (TME), enable tumor-specific release, achieving targeted degradation while effectively mitigating broad-spectrum cytotoxicity<sup>[<xref ref-type="bibr" rid="B29">29</xref>]</sup>. Nano-ATTEC systems, based on mixed-shell polymeric micelles, respond to the acidic TME, facilitating tumor-selective uptake and simultaneously activating autophagy to establish a positive feedback loop that enhances degradation efficiency<sup>[<xref ref-type="bibr" rid="B30">30</xref>]</sup>. Moreover, the bifunctional LYTAC nanoplatform (NLTC) achieves efficient membrane protein degradation through surface modification with lysosome-targeting and target protein ligands. By encapsulating functional enzymes such as catalase and incorporating pH-responsive, cleavable polyethylene glycol (PEG) shells, NLTC synergistically modulates the tumor immune microenvironment, enabling tumor-selective degradation alongside enhanced immunotherapeutic effects<sup>[<xref ref-type="bibr" rid="B31">31</xref>]</sup>.</p>
      <p>The combination of nanotechnology with diverse TPD strategies, including PROTACs, Molecular Glues, ATTECs, LYTACs, and so on, offers a powerful engineering platform for the precise and selective elimination of “undruggable” targets, particularly tumor-associated pathogenic proteins<sup>[<xref ref-type="bibr" rid="B32">32</xref>]</sup>. Nanocarriers not only address the inherent limitations of TPD molecules in pharmacokinetics, biodistribution, and safety but also provide a foundation for developing “programmable degradation systems” featuring multi-signal integration and intelligent on-off control<sup>[<xref ref-type="bibr" rid="B33">33</xref>]</sup>. In this context, the design and optimization of “activation triggers” for nano-TPD systems, including endogenous stimuli [pH, enzymes, or reactive oxygen species (ROS)/GSH], exogenous triggers (light, ultrasound, magnetic fields, bioorthogonal reactions), and combined dual-trigger modalities, have become critical scientific challenges for achieving high selectivity, safety, and efficacy<sup>[<xref ref-type="bibr" rid="B11">11</xref>]</sup>. Building upon a systematic review of TPD technology’s developmental landscape and core mechanisms, as well as an in-depth analysis of nanocarrier delivery characteristics and functional modification principles, this review centers on the “activation triggers” of nano-TPD systems as a primary classification criterion [<xref ref-type="table" rid="t1">Table 1</xref>]. It comprehensively discusses the design strategies, mechanisms of action, and recent advances in endogenous microenvironment-responsive, exogenous stimulus-initiated, and multi-condition combined activation systems. Furthermore, it summarizes key challenges, including carrier biocompatibility, regulation of degradation efficiency, and <italic>in vivo</italic> fate tracking, and highlights promising directions for clinical translation such as personalized customization, intelligent logic gating, and multimodal characterization. This work aims to provide a systematic theoretical framework and practical guidance to promote interdisciplinary integration of nanotechnology and TPD, ultimately advancing innovative drug development.</p>
      <table-wrap id="t1">
        <label>Table 1</label>
        <caption>
          <p>The representative nano-TPD and its mechanism of action</p>
        </caption>
        <table frame="hsides" rules="groups">
          <thead>
            <tr>
              <td style="border-bottom:1;">
                <bold>Name</bold>
              </td>
              <td style="border-bottom:1;">
                <bold>Types of nanocarriers</bold>
              </td>
              <td style="border-bottom:1;">
                <bold>TPD type</bold>
              </td>
              <td style="border-bottom:1;">
                <bold>Trigger condition</bold>
              </td>
              <td style="border-bottom:1;">
                <bold>Target protein</bold>
              </td>
              <td style="border-bottom:1;">
                <bold>Ref.</bold>
              </td>
            </tr>
          </thead>
          <tbody>
            <tr>
              <td>MNC@Ca/MnCO<sub>3</sub><break />/ARV/anti-PD1</td>
              <td>Nanocomposites</td>
              <td>PROTAC</td>
              <td>pH</td>
              <td>BRD4</td>
              <td>[<xref ref-type="bibr" rid="B46">46</xref>]</td>
            </tr>
            <tr>
              <td>MSPMs</td>
              <td>Polymeric micelles</td>
              <td>ATTEC</td>
              <td>pH</td>
              <td>BRD4/AR</td>
              <td>[<xref ref-type="bibr" rid="B30">30</xref>]</td>
            </tr>
            <tr>
              <td>NLTC</td>
              <td>Protein nanocapsules</td>
              <td>LYTAC</td>
              <td>pH</td>
              <td>Tumor-selective protein</td>
              <td>[<xref ref-type="bibr" rid="B31">31</xref>]</td>
            </tr>
            <tr>
              <td>EGFR/PDL1 IMTACs</td>
              <td>DNA nanocircles</td>
              <td>LYTAC</td>
              <td>pH</td>
              <td>EGFR/PDL1</td>
              <td>[<xref ref-type="bibr" rid="B49">49</xref>]</td>
            </tr>
            <tr>
              <td>i16-ET<sup>Nc</sup></td>
              <td>Amphiphilic conjugates</td>
              <td>PROTAC</td>
              <td>pH</td>
              <td>LRG1</td>
              <td>[<xref ref-type="bibr" rid="B50">50</xref>]</td>
            </tr>
            <tr>
              <td>Supra-LYTAC</td>
              <td>Amphiphilic peptides</td>
              <td>LYTAC</td>
              <td>Enzyme</td>
              <td>POI</td>
              <td>[<xref ref-type="bibr" rid="B54">54</xref>]</td>
            </tr>
            <tr>
              <td>dBET6@CFMPD</td>
              <td>Conjugates</td>
              <td>PROTAC</td>
              <td>Enzyme</td>
              <td>BRD4</td>
              <td>[<xref ref-type="bibr" rid="B56">56</xref>]</td>
            </tr>
            <tr>
              <td>LipoSM- PROTAC</td>
              <td>Liposomes</td>
              <td>PROTAC</td>
              <td>Enzyme</td>
              <td>ERα</td>
              <td>[<xref ref-type="bibr" rid="B57">57</xref>]</td>
            </tr>
            <tr>
              <td>SM-PROTAC</td>
              <td>Nanospheres</td>
              <td>PROTAC</td>
              <td>Enzyme</td>
              <td>ERα/CDK4/6/BRD2/4</td>
              <td>[<xref ref-type="bibr" rid="B58">58</xref>]</td>
            </tr>
            <tr>
              <td>Pre-PROTACs</td>
              <td>Small-molecule conjugates</td>
              <td>PROTAC</td>
              <td>ROS</td>
              <td>BRD3</td>
              <td>[<xref ref-type="bibr" rid="B65">65</xref>]</td>
            </tr>
            <tr>
              <td>BT-NanoPROTAC</td>
              <td>Small-molecule conjugates</td>
              <td>PROTAC</td>
              <td>ROS</td>
              <td>BRD4</td>
              <td>[<xref ref-type="bibr" rid="B66">66</xref>]</td>
            </tr>
            <tr>
              <td>TCO-MZ1</td>
              <td>Nanofiber</td>
              <td>PROTAC</td>
              <td>ROS</td>
              <td>PD-L1</td>
              <td>[<xref ref-type="bibr" rid="B67">67</xref>]</td>
            </tr>
            <tr>
              <td>ARV@PDSA</td>
              <td>Polymers</td>
              <td>PROTAC</td>
              <td>GSH</td>
              <td>HER2</td>
              <td>[<xref ref-type="bibr" rid="B68">68</xref>]</td>
            </tr>
            <tr>
              <td>Cle-NP</td>
              <td>Amphiphilicn nanoparticles</td>
              <td>Molecular glue</td>
              <td>GSH</td>
              <td>Bcr-Abl</td>
              <td>[<xref ref-type="bibr" rid="B29">29</xref>]</td>
            </tr>
            <tr>
              <td>NanoCLY</td>
              <td>Amphiphilic chimeras</td>
              <td>LYTAC</td>
              <td>GSH</td>
              <td>CTGF</td>
              <td>[<xref ref-type="bibr" rid="B69">69</xref>]</td>
            </tr>
            <tr>
              <td>USDPR</td>
              <td>Cationic polymers</td>
              <td>PROTAC</td>
              <td>Light</td>
              <td>BRD4</td>
              <td>[<xref ref-type="bibr" rid="B86">86</xref>]</td>
            </tr>
            <tr>
              <td>UMSNs@phoBET1</td>
              <td>Nanocage</td>
              <td>PROTAC</td>
              <td>Light</td>
              <td>BRD4</td>
              <td>[<xref ref-type="bibr" rid="B87">87</xref>]</td>
            </tr>
            <tr>
              <td>NAP</td>
              <td>Conjugates</td>
              <td>PROTAC</td>
              <td>Light</td>
              <td>BRD4</td>
              <td>[<xref ref-type="bibr" rid="B89">89</xref>]</td>
            </tr>
            <tr>
              <td>SPNly</td>
              <td>Polymeric chimers</td>
              <td>LYTAC</td>
              <td>Ultrasound</td>
              <td>IL-4R</td>
              <td>[<xref ref-type="bibr" rid="B94">94</xref>]</td>
            </tr>
            <tr>
              <td>MCM/ARV</td>
              <td>Nanoclusters</td>
              <td>PROTAC</td>
              <td>Magnetic</td>
              <td>BRD4</td>
              <td>[<xref ref-type="bibr" rid="B104">104</xref>]</td>
            </tr>
            <tr>
              <td>MZ1-O@NP</td>
              <td>Nanoparticles</td>
              <td>PROTAC</td>
              <td>Click reaction</td>
              <td>BRD4</td>
              <td>[<xref ref-type="bibr" rid="B108">108</xref>]</td>
            </tr>
            <tr>
              <td>Nano-CLIPTACs</td>
              <td>Liposomes</td>
              <td>PROTAC</td>
              <td>Click reaction</td>
              <td>ALK</td>
              <td>[<xref ref-type="bibr" rid="B111">111</xref>]</td>
            </tr>
            <tr>
              <td>POLY-PROTAC</td>
              <td>Amphiphilic polymers</td>
              <td>PROTAC</td>
              <td>Click reaction</td>
              <td>BRD4</td>
              <td>[<xref ref-type="bibr" rid="B112">112</xref>]</td>
            </tr>
            <tr>
              <td>ENCTACs</td>
              <td>Small-molecule fragment</td>
              <td>PROTAC</td>
              <td>Enzymatic orthogonal reaction</td>
              <td>BRD4</td>
              <td>[<xref ref-type="bibr" rid="B113">113</xref>]</td>
            </tr>
            <tr>
              <td>PSRNs</td>
              <td>Block copolymers</td>
              <td>PROTAC</td>
              <td>pH &amp; enzyme</td>
              <td>CDK4/6</td>
              <td>[<xref ref-type="bibr" rid="B124">124</xref>]</td>
            </tr>
            <tr>
              <td>RLDPB</td>
              <td>Micelles</td>
              <td>PROTAC</td>
              <td>pH &amp; GSH</td>
              <td>BRD4</td>
              <td>[<xref ref-type="bibr" rid="B125">125</xref>]</td>
            </tr>
            <tr>
              <td>CREATE</td>
              <td>Polymers</td>
              <td>PROTAC</td>
              <td>pH &amp; GSH</td>
              <td>BRD4</td>
              <td>[<xref ref-type="bibr" rid="B126">126</xref>]</td>
            </tr>
            <tr>
              <td>CuS-MD@CS</td>
              <td>Inorganic nanoparticles</td>
              <td>PROTAC</td>
              <td>ROS &amp; Copper Ion</td>
              <td>MDM2</td>
              <td>[<xref ref-type="bibr" rid="B127">127</xref>]</td>
            </tr>
            <tr>
              <td>NanoTAC</td>
              <td>Conjugates</td>
              <td>PROTAC</td>
              <td>Light &amp; enzyme</td>
              <td>HK2</td>
              <td>[<xref ref-type="bibr" rid="B130">130</xref>]</td>
            </tr>
            <tr>
              <td>LPN</td>
              <td>Conjugates</td>
              <td>PROTAC</td>
              <td>Light &amp; enzyme</td>
              <td>IDO</td>
              <td>[<xref ref-type="bibr" rid="B131">131</xref>]</td>
            </tr>
            <tr>
              <td>SPNpro</td>
              <td>Semiconducting polymers</td>
              <td>PROTAC</td>
              <td>Light &amp; enzyme</td>
              <td>IDO</td>
              <td>[<xref ref-type="bibr" rid="B132">132</xref>]</td>
            </tr>
            <tr>
              <td>AZO-PRO</td>
              <td>Conjugates</td>
              <td>PROTAC</td>
              <td>Light &amp; hypoxia</td>
              <td>BRD4</td>
              <td>[<xref ref-type="bibr" rid="B133">133</xref>]</td>
            </tr>
            <tr>
              <td>ARV@PEG-ICG</td>
              <td>Polymeric nanoparticles</td>
              <td>PROTAC</td>
              <td>Light &amp; pH</td>
              <td>BRD4</td>
              <td>[<xref ref-type="bibr" rid="B134">134</xref>]</td>
            </tr>
            <tr>
              <td>HSA@PPa-JQ1</td>
              <td>Biomacromolecular</td>
              <td>PDTAC</td>
              <td>Light &amp; pH &amp; GSH</td>
              <td>BRD4</td>
              <td>[<xref ref-type="bibr" rid="B135">135</xref>]</td>
            </tr>
            <tr>
              <td>PGDAT@N</td>
              <td>Polymers</td>
              <td>PROTAC</td>
              <td>Light &amp; enzyme &amp; hypoxia &amp; pH</td>
              <td>BRD4</td>
              <td>[<xref ref-type="bibr" rid="B136">136</xref>]</td>
            </tr>
            <tr>
              <td>NP<sub>(Ce6+PRO)</sub></td>
              <td>Polymers</td>
              <td>PROTAC</td>
              <td>Ultrasonic &amp; GSH</td>
              <td>BRD4</td>
              <td>[<xref ref-type="bibr" rid="B137">137</xref>]</td>
            </tr>
            <tr>
              <td>EMPLANT</td>
              <td>Polymers</td>
              <td>PROTAC</td>
              <td>Magnetic &amp; pH</td>
              <td>TRIM24</td>
              <td>[<xref ref-type="bibr" rid="B138">138</xref>]</td>
            </tr>
          </tbody>
        </table>
        <table-wrap-foot>
          <fn>
            <p>TPD: Targeted protein degradation; ATTECs: autophagosome-tethering compounds; LYTACs: lysosome-targeting chimeras; MSPMs: mixed-shell polymeric micelles; MNC: magnetic nanocluster; ROS: reactive oxygen species; GSH: glutathione; ALK: anaplastic lymphoma kinase; ET<sup>Nc</sup>: i16-ET<sup>Nc</sup> is a self-designated nano-PROTAC agent named by the authors; CFMPD: dBET6@CFMPD is a kind of nano-PROTAC drug. CFMPD stands for (Ce6)-modified MMP-2 sensitive peptide (FFRFKGPLGLAGC)-PEG-DSPE conjugates; SM-PROTAC: split-and-mix PROTAC; BT: BT-NanoPROTAC is an author-defined ROS-responsive NanoPROTAC; PDSA: poly(disulfide amide); USDPR: USDPR is an author-defined NIR light-responsive nanoplatform for PROTAC delivery; NAP: NAP is an author-defined near-infrared (NIR) photoactivatable nano-PROTAC; MCM: manganese carbonate-coated magnetic nanoclusters; NP: nanoparticle; POLY: polymeric; ENCTACs: ENCTACs refer to enzyme-activated orthogonal proteolysis chimeras defined by the authors; PSRNs: pH/cathepsin B sequential responsive nanoparticles; RLDPB: cRGD/LLC membrane/DS-PLGA/dBET6; CREATE: CRV-LLC membrane/DS-PLGA/dBET6; AZO-PRO: AZO-PRO is a type of PROTAC prodrug named by the authors; LPN: a light-triggered PROTAC nanoassembly; IDO: indoleamine 2,3-dioxygenase.</p>
          </fn>
        </table-wrap-foot>
      </table-wrap>
    </sec>
    <sec id="sec2">
      <title>ENDOGENOUS CONDITION INITIATION OF NANO-TPD SYSTEMS</title>
      <p>By leveraging endogenous pathological signals as activation triggers, this approach enables protein degradation through microenvironment-responsive mechanisms. Nanoparticles are designed to respond selectively to pathological environments while remaining stable in healthy tissues. Upon entry into diseased regions, elevated biological signals induce structural changes in nanoparticles, thereby initiating degradation [<xref ref-type="table" rid="t2">Table 2</xref>]. A key advantage is intelligent microenvironment adaptation without external intervention<sup>[<xref ref-type="bibr" rid="B34">34</xref>]</sup>. However, variability in endogenous signals may result in inconsistent activation efficiency<sup>[<xref ref-type="bibr" rid="B35">35</xref>]</sup>.</p>
      <table-wrap id="t2">
        <label>Table 2</label>
        <caption>
          <p>Conditionally starting nano-targeted degradation system</p>
        </caption>
        <table frame="hsides" rules="groups">
          <thead>
            <tr>
              <td style="border-bottom:1;">
                <bold>Response conditions</bold>
              </td>
              <td style="border-bottom:1;">
                <bold>Trigger mechanism</bold>
              </td>
              <td style="border-bottom:1;">
                <bold>Degradation pathway</bold>
              </td>
              <td style="border-bottom:1;">
                <bold>Targeting strategy</bold>
              </td>
              <td style="border-bottom:1;">
                <bold>Efficiency-influencing factors</bold>
              </td>
              <td style="border-bottom:1;">
                <bold>Specificity guarantee mechanism</bold>
              </td>
              <td style="border-bottom:1;">
                <bold>Ref.</bold>
              </td>
            </tr>
          </thead>
          <tbody>
            <tr>
              <td colspan="6">Endogenously initiated</td>
              <td />
            </tr>
            <tr>
              <td>pH</td>
              <td>Acidic microenvironment → Protonation → Carrier dissociation/Degrader exposure</td>
              <td>UPS/Lysosomal pathway</td>
              <td>EPR (Enhanced Permeability and Retention) effect &amp; Active targeting &amp; Endosomal escape assistance</td>
              <td>Environmental pH value, protonation rate, carrier hydrophilic-hydrophobic balance</td>
              <td>Acidic microenvironment-specific triggering &amp; Ligand-receptor targeted binding</td>
              <td>[<xref ref-type="bibr" rid="B30">30</xref>,<xref ref-type="bibr" rid="B31">31</xref>,<xref ref-type="bibr" rid="B46">46</xref>,<xref ref-type="bibr" rid="B49">49</xref>,<xref ref-type="bibr" rid="B50">50</xref>]</td>
            </tr>
            <tr>
              <td>Enzyme</td>
              <td>Tumor-overexpressed enzymes → Enzymatic cleavage → Carrier depolymerization/PROTAC activation</td>
              <td>UPS</td>
              <td>Enzyme expression targeting &amp; Active targeting</td>
              <td>Enzyme expression level, enzymatic hydrolysis efficiency, peptide bond specificity</td>
              <td>Enzyme-substrate specific recognition &amp; Tumor microenvironment enzyme overexpression enrichment</td>
              <td>[<xref ref-type="bibr" rid="B54">54</xref>,<xref ref-type="bibr" rid="B56">56</xref>-<xref ref-type="bibr" rid="B58">58</xref>]</td>
            </tr>
            <tr>
              <td>ROS</td>
              <td>Tumor high ROS level → Oxidative cleavage → PROTAC release</td>
              <td>UPS</td>
              <td>EPR effect &amp; ROS-enriched targeting &amp; Active targeting</td>
              <td>ROS concentration, oxidation rate of sensitive bonds, carrier stability</td>
              <td>Tumor high ROS microenvironment specificity &amp; Sensitive bond oxidative selectivity</td>
              <td>[<xref ref-type="bibr" rid="B65">65</xref>-<xref ref-type="bibr" rid="B67">67</xref>]</td>
            </tr>
            <tr>
              <td>GSH</td>
              <td>Intracellular high GSH concentration → Disulfide bond cleavage → Carrier dissociation</td>
              <td>UPS</td>
              <td>Intracellular GSH targeting &amp; Active targeting</td>
              <td>GSH concentration gradient, number of disulfide bonds, reduction rate</td>
              <td>Specificity of intracellular-extracellular GSH concentration difference &amp; Active targeting-mediated intracellular delivery</td>
              <td>[<xref ref-type="bibr" rid="B29">29</xref>,<xref ref-type="bibr" rid="B68">68</xref>,<xref ref-type="bibr" rid="B69">69</xref>]</td>
            </tr>
            <tr>
              <td colspan="6">Exogenously initiated</td>
              <td />
            </tr>
            <tr>
              <td>Light</td>
              <td>Photoisomerization/Photolytic cleavage → PROTAC core exposure/Nanocarrier dissociation</td>
              <td>UPS</td>
              <td>EPR effect &amp; Light-targeted enrichment &amp; Active targeting-mediated intracellular delivery</td>
              <td>Light irradiation power, trigger time, PROTAC release rate</td>
              <td>Spatiotemporally precise light irradiation control &amp; Ligand-receptor specific binding</td>
              <td>[<xref ref-type="bibr" rid="B86">86</xref>,<xref ref-type="bibr" rid="B87">87</xref>,<xref ref-type="bibr" rid="B89">89</xref>]</td>
            </tr>
            <tr>
              <td>Ultrasound</td>
              <td>Cavitation effect → Mechanical force &amp; Local heating → Carrier depolymerization</td>
              <td>UPS</td>
              <td>EPR effect &amp; Ultrasound-targeted focusing &amp; Active targeting</td>
              <td>Ultrasound intensity, irradiation time, microbubble concentration</td>
              <td>Ultrasound precise focusing &amp; Ligand-mediated specific endocytosis</td>
              <td>[<xref ref-type="bibr" rid="B94">94</xref>]</td>
            </tr>
            <tr>
              <td>Magnetic</td>
              <td>AMF (Alternating Magnetic Field)-induced magnetothermal effect → LCST breakthrough/Carrier depolymerization</td>
              <td>UPS/Lysosomal pathway</td>
              <td>Magnetic targeting enrichment &amp; Active targeting</td>
              <td>Magnetic particle content, magnetic field frequency, temperature rise amplitude</td>
              <td>Magnetic field targeting localization &amp; Intracellular high GSH-assisted carrier dissociation</td>
              <td>[<xref ref-type="bibr" rid="B104">104</xref>]</td>
            </tr>
            <tr>
              <td>Click reaction</td>
              <td>Bioorthogonal click reaction → Stable assembly of nanocomplexes → In situ PROTAC activation</td>
              <td>UPS</td>
              <td>Metabolic labeling targeting &amp; Ligand-mediated active targeting</td>
              <td>Reaction rate constant, metabolic labeling efficiency</td>
              <td>Bioorthogonal reaction specificity &amp; Dual targeting</td>
              <td>[<xref ref-type="bibr" rid="B108">108</xref>,<xref ref-type="bibr" rid="B111">111</xref>,<xref ref-type="bibr" rid="B112">112</xref>]</td>
            </tr>
            <tr>
              <td>Enzymatic orthogonal reaction</td>
              <td>Orthogonal enzyme-catalyzed substrate hydrolysis → PROTAC precursor activation</td>
              <td>UPS</td>
              <td>Orthogonal enzyme expression targeting &amp; Ligand active targeting</td>
              <td>Enzymatic catalytic efficiency, PROTAC activation rate</td>
              <td>Orthogonal enzyme-substrate specific recognition &amp; Ligand-mediated targeted delivery</td>
              <td>[<xref ref-type="bibr" rid="B113">113</xref>]</td>
            </tr>
          </tbody>
        </table>
        <table-wrap-foot>
          <fn>
            <p>See references for specific information. UPS: Ubiquitin-Proteasome System; ROS: reactive oxygen species; GSH: glutathione; EPR: enhanced permeability and retention; PROTACs: protein degraders targeting chimeras; LCST: lower critical solution temperature.</p>
          </fn>
        </table-wrap-foot>
      </table-wrap>
      <p>Building on this concept, endogenous self-assembled nanocarrier-mediated TPD systems have substantially expanded microenvironment-responsive strategies. Typically, when exposed to physiological environments, the amphiphilic PROTAC conjugates undergo spontaneous self-assembly driven by hydrophobic interactions and π-π stacking among aromatic moieties, resulting in the formation of stable nanostructures<sup>[<xref ref-type="bibr" rid="B36">36</xref>]</sup>. This self-assembly not only improves the pharmacokinetic stability of PROTACs but also facilitates their cellular uptake via endocytosis. Importantly, intracellular stimuli subsequently destabilize the supramolecular architecture, enabling controlled disassembly and efficient engagement of the E3 ligase - protein of interest (POI) ternary complex<sup>[<xref ref-type="bibr" rid="B37">37</xref>]</sup>. Unlike conventional small-molecule or polymer-based PROTAC systems that depend solely on chemical structure, these self-assembled nanosystems can spontaneously form nanostructures or undergo structural remodeling in response to endogenous signals. This property enables precise drug enrichment, protection, and controlled spatiotemporal release. By exploiting local pH, ROS, GSH, or enzyme levels as triggers, these systems directly link assembly - disassembly processes to pathological signal intensity [<xref ref-type="fig" rid="fig1">Figure 1</xref>]. This strategy enhances tissue retention and intracellular delivery while reducing exposure and non-specific toxicity in healthy tissues. Notably, self-assembled structures formed from peptides, proteins, or fusion proteins exhibit high biocompatibility and biodegradability. They form stable nanoaggregates within lesion microenvironments, improving target protein engagement and protecting degradants from plasma enzymatic degradation or lysosomal trafficking during endocytosis<sup>[<xref ref-type="bibr" rid="B38">38</xref>]</sup>. Consequently, endogenous condition-driven self-assembled nano-TPD systems retain microenvironment responsiveness and exhibit distinct advantages in on-demand assembly and signal-amplified release. Endogenous activation, which relies on the TME and physicochemical differences between diseased and normal tissues, enables responses without external stimuli and provides a natural advantage of passive targeting, making it the most extensively investigated activation mechanism.</p>
      <fig id="fig1" position="float">
        <label>Figure 1</label>
        <caption>
          <p>Endogenous condition initiation of nano-TPD systems and self-assembled Endogenous condition initiation of nano-TPD systems. FigDraw ID:UTTRP46ed4. TPD: Targeted protein degradation; ROS: reactive oxygen species; GSH: glutathione; MMPs: matrix metalloproteinases.</p>
        </caption>
        <graphic xlink:href="microstructures50173.fig.1.jpg"/>
      </fig>
      <sec id="sec2-1">
        <title>pH-responsive</title>
        <p>The pH-responsive nano-targeted protein degradation systems typically incorporate target protein degradation molecules into pH-sensitive nanocarriers. These systems remain stable under physiological conditions but undergo structural changes or chemical bond cleavage in acidic environments, enabling controlled release or activation. Building on this foundation, self-assembled pH-responsive nano-targeted protein degradation systems further integrate molecular self-assembly strategies with stimulus-responsive properties, representing a more refined and modular development direction in this field<sup>[<xref ref-type="bibr" rid="B39">39</xref>]</sup> <InlineParagraph>[<xref ref-type="fig" rid="fig2">Figure 2</xref>].</InlineParagraph> Importantly, beyond extracellular tumor acidity, intracellular pH gradients along the endocytic pathway (early endosomes pH ~6.0-6.5, late endosomes pH ~5.0-6.0, lysosomes pH ~4.5-5.0) provide additional opportunities for stepwise nanocarrier disassembly and cargo release. However, efficient endosomal escape remains one of the major bottlenecks limiting the therapeutic efficacy of pH-responsive nanocarriers<sup>[<xref ref-type="bibr" rid="B40">40</xref>,<xref ref-type="bibr" rid="B41">41</xref>]</sup>.</p>
        <fig id="fig2" position="float">
          <label>Figure 2</label>
          <caption>
            <p>(A) pH-responsive and (B) self-assembled pH-responsive nano-based protein-targeted degradation systems. FigDraw ID:ASTWRe833e. EPR: Enhanced permeability and retention; POI: protein of interest; TPD: targeted protein degradation.</p>
          </caption>
          <graphic xlink:href="microstructures50173.fig.2.jpg"/>
        </fig>
        <p>The pH-responsive targeted drug delivery mechanism utilizes the acidic microenvironment of tumors (extracellular pH ~6.5, intracellular pH ~4.5-5.5) as a core activation site. Drug targeting and release occur through three primary mechanisms<sup>[<xref ref-type="bibr" rid="B42">42</xref>]</sup>. First, in polymers with high buffering capacity (e.g., polyamines), proton accumulation within endosomes induces the so-called “proton sponge effect”, in which continuous proton influx is accompanied by chloride ion entry and osmotic swelling. The resulting increase in osmotic pressure leads to endosomal membrane destabilization or rupture, thereby facilitating cytosolic release of degradation molecules<sup>[<xref ref-type="bibr" rid="B43">43</xref>]</sup>. Second, acid-labile bonds (e.g., hydrazide, imine) between drugs and carriers or within carriers hydrolyze under acidic conditions, directly releasing drugs or facilitating intracellular release. Third, PEG detachment strategies responsive to pH utilize PEG coatings to maintain nanocarrier circulation under physiological conditions. In the acidic tumor environment, PEG detaches via acid-sensitive bond cleavage, resolving the “PEG dilemma” and improving intracellular uptake and drug release efficiency at the tumor site<sup>[<xref ref-type="bibr" rid="B44">44</xref>,<xref ref-type="bibr" rid="B45">45</xref>]</sup>.</p>
        <p>The pH-responsive nano-PROTAC developed by the Xue group (MNC@Ca/MnCO<sub>3</sub>/ARV/anti-PD1) gradually dissolves in the acidic TME (pH ≈ 5.5 - 6.5), releasing internally loaded PROTAC (ARV-825) and anti-PD1 molecules, which specifically degrades BRD4 without damaging immune cells. In neutral tissues (pH ≈ 7.0), the nanocarrier remains stable, minimizing drug release and reducing toxicity to normal cells<sup>[<xref ref-type="bibr" rid="B46">46</xref>]</sup>. The universal nano-ATTEC platform based on mixed-shell polymeric micelles (MSPMs) designed by the Shi team overcomes poor cell-type specificity and dependence on intrinsic autophagy of conventional small-molecule ATTECs. The nano-ATTEC platform self-assembles from three diblock polymers: poly(ethylene glycol)-b-poly(ε-caprolactone) (PEG-b-PCL) modified with ligands for target proteins (e.g., BRD4 or AR), LC3 ligand (ispinesib, IS), and pH-responsive poly(β-amino ester)-b-poly(ε-caprolactone) (PAE-b-PCL). In acidic tumor environments (pH ≈ 6.5), protonation of the PAE segment promotes tumor cell uptake, autophagy activation, and LC3 targeting, leading to protein degradation (e.g., BRD4, AR) via the autophagy-lysosome pathway. Under normal physiological conditions (pH ≈ 7.4), the PEG shell shields the PAE segment, significantly reducing uptake by normal cells<sup>[<xref ref-type="bibr" rid="B30">30</xref>]</sup>.</p>
        <p>Due to modular design, biocompatibility, and stimulus responsiveness, self-assembled nanocarriers have become ideal platforms for TPD systems (e.g., PROTACs, LYTACs, ATTECs). These nanocarriers self-assemble through non-covalent interactions (e.g., hydrophobic interactions, electrostatic interactions, π-π stacking), encapsulating or covalently conjugating degradation modules<sup>[<xref ref-type="bibr" rid="B47">47</xref>]</sup>. Triggered by specific stimuli, they precisely activate or release degraders, enhancing targeting efficiency and reducing off-target toxicity. Tumors possess lower extracellular pH (~6.5) than normal tissues (~7.4), with even lower lysosomal pH (~4.5-5.0). pH-responsive nano-TPD systems exploit these differences by protonation or cleavage of acid-sensitive groups (e.g., hydrazone, acetal bonds, amino acrylates), releasing degradation modules specifically in tumor tissues<sup>[<xref ref-type="bibr" rid="B48">48</xref>]</sup>.</p>
        <p>The bifunctional NLTC constructed by the Liu group addresses limitations such as insufficient tumor accumulation, non-specific activation, and low monotherapy efficacy. The lysosome-targeting bifunctional chimeric nanoplatform self-assembles into a nanocapsules structure with surface-modified lysosome-targeting ligands. Upon entering cells, protonation of amino groups in acidic lysosomes triggers structural dissociation, releasing LYTAC degraders. These degraders specifically degrade tumor cell surface proteins and activate antitumor immune responses. This system demonstrated a tumor inhibition rate of 87.9% in a 4T1 breast cancer model<sup>[<xref ref-type="bibr" rid="B31">31</xref>]</sup>. To address the limitations of traditional LYTACs in hepatocellular carcinoma (HCC) therapy, such as low bioavailability and nonspecific distribution, the Chao group developed an intelligent modular DNA LYTAC (IMTAC) nanodevice and a drug EGFR/PDL1 IMTACs. Using self-linked DNA nanocircles as the carrier, this system achieves specific activation in the TME (pH 6.5-7.0) by precisely regulating the stoichiometry and modular distribution of pH-responsive degradation promoters (targeting insulin-like growth factor II receptor, IGFIIR) and EGFR/PDL1-targeting ligands, with an optimal spacing of 20 nm. The nanodevice enables synergistic degradation of EGFR and PDL1, reducing EGFR levels to approximately 10% in HepG2 cells <italic>in vitro</italic> and achieving a tumor inhibition rate of 80%<italic> in vivo</italic>, without significant toxic side effects<sup>[<xref ref-type="bibr" rid="B49">49</xref>]</sup>. The Qi group has developed a novel ionizable nano-PROTAC (i16-ET<sup>Nc</sup>) platform, which co-assembles a pH-responsive tertiary amine and amphiphilic conjugates. This combination enhances cellular uptake and endosomal escape via the proton sponge effect, overcoming traditional nano-PROTAC endosomal entrapment. The platform achieves potent degradation of leucine-rich α-2-glycoprotein 1 (LRG1) in cells (DC<sub>50</sub> = 17.1 μM and 19.5 μM for 4T1 and MDA-MB-231 cells, respectively). <italic>In vivo</italic>, it accumulates in tumors through EPR effect and active targeting, prolongs blood circulation (t<sub>1/2</sub> = 1.27 h), reduces tumor weight by 71.3%, and demonstrates no significant systemic toxicity, offering a universal strategy for TPD<sup>[<xref ref-type="bibr" rid="B50">50</xref>]</sup>.</p>
        <p>This system’s advantages include its targeting capability and biocompatibility, it activates only under acidic conditions in diseased tissues or organelles, minimizing harm to normal tissues. Moreover, most acid-sensitive bonds comprise biodegradable materials, ensuring low toxicity of degradation products. However, substantial challenges remain, such as significant intratumoral pH gradient variations requiring precise control of acid-sensitive bond cleavage thresholds; endosomal escape efficiency affecting intracellular delivery and degradation by lysosomal enzymes; and inconsistent responses caused by pH fluctuations across patients or lesions.</p>
      </sec>
      <sec id="sec2-2">
        <title>Enzyme-responsive</title>
        <p>The tumor microenvironment is frequently characterized by an aberrant protease landscape, in which multiple matrix metalloproteinases (MMPs) are upregulated in a wide range of tumor tissues and their surrounding extracellular matrix, and are closely associated with tumor invasion, metastasis, and disease progression<sup>[<xref ref-type="bibr" rid="B51">51</xref>,<xref ref-type="bibr" rid="B52">52</xref>]</sup>. Enzyme-responsive nano-targeted protein degradation systems are typically designed by exploiting the abnormal expression and/or activity of tumor-associated enzymes - such as MMPs and cathepsins - within tumor tissues or along cellular endocytic pathways. In these systems, enzyme-cleavable substrates or linkers are incorporated into degrader prodrugs or nanocarrier architectures; upon encountering the target enzymes, site-specific cleavage occurs, thereby triggering the release and/or activation of degraders<sup>[<xref ref-type="bibr" rid="B53">53</xref>]</sup>.</p>
        <p>The Ryu team developed a cancer-specific carbonic anhydrase IX (CAIX)-targeting supramolecular nanofibrous lysosome-targeting chimera (Supra-LYTAC). It comprises two hetero-functionalized, self-assembling amphiphilic Phe-Phe-Lys (FFK)-based peptides: one targets CAIX expressed on cancer cell membranes, and the other interacts with the POI. The supramolecular nanofibers near CAIX form a ternary complex (CAIX-nanofiber-POI). These complexes undergo clathrin-mediated endocytosis into lysosomes, where the acidic hydrolytic enzyme-rich environment facilitates the degradation of POIs<sup>[<xref ref-type="bibr" rid="B54">54</xref>]</sup>.</p>
        <p>Tumor tissues overexpress specific proteases [e.g., MMPs, cathepsins (Cts), and plasmin]<sup>[<xref ref-type="bibr" rid="B55">55</xref>]</sup>. Enzyme-responsive self-assembled nano-TPD uses protease-sensitive peptides as linkers or assembly units. Upon specific enzymatic cleavage at tumor sites, carriers undergo depolymerization or degradation module activation, enabling precise control.</p>
        <p>The Gao team constructed dBET6@CFMPD nanomedicine by self-assembling MMP-2-sensitive peptide (FFRFKGPLGLAGC)-PEG-DSPE conjugates modified with the photosensitizer Ce6 (chlorin e6) and the BRD4-targeting PROTAC (dBET6). This system addresses multiple challenges: poor PROTAC solubility, insufficient tumor accumulation, limited single-agent therapy efficacy, immune escape caused by PD-L1 (programmed death-ligand 1) upregulation after photodynamic therapy (PDT), and impaired nanoparticle penetration and retention. At tumor sites, the highly expressed MMP-2 triggers structural transformation from spherical to nanofibrous morphology, enhancing Ce6 retention, PDT efficacy, and immunogenic cell death (ICD). Simultaneously, released dBET6 degrades BRD4, downregulates c-Myc and PD-L1 expression, reprograms tumor-associated macrophages (TAMs), and synergistically inhibits primary breast tumors and lung and brain metastases<sup>[<xref ref-type="bibr" rid="B56">56</xref>]</sup>.</p>
        <p>The split-and-mix liposomal PROTAC system (LipoSM- PROTAC) self-assembles from folate (FA)-modified liposomes. Through DSPE-PEG2000, it links the E3 ubiquitin ligase ligand (VHL) and ERα-targeting ligand (4-hydroxytamoxifen, Tam), with MMP-2-sensitive peptides on the surface. Following MMP-2 cleavage at tumor sites, the liposome induces synergistic ligand activity, selectively degrading ERα protein and effectively inhibiting MCF-7 breast cancer cell growth<sup>[<xref ref-type="bibr" rid="B57">57</xref>]</sup>. The targeted biomolecule regulation platform (SM-PROTAC) self-assembles into nanospheres with functional modules via diphenylglycine peptides (δδRR), encapsulating split PROTAC fragments (E3 ligand module and POI ligand module). After cellular uptake, the modules form active PROTACs <italic>in situ</italic>, targeting multiple proteins [e.g., ERα, cyclin-dependent kinases 4/6 (CDK4/6), bromodomain-containing proteins 2/4 (BRD2/4)] without significant activation in normal tissues<sup>[<xref ref-type="bibr" rid="B58">58</xref>]</sup>.</p>
        <p>Enzyme-catalyzed processes exhibit amplification effects, as one enzyme molecule can cleave multiple carrier molecules, significantly enhancing sensitivity. Additionally, carriers enable complete control from stable circulation and tumor accumulation to stimulus-triggered release and degrader activation, reducing non-specific <italic>in vivo</italic> release and associated toxicity. However, enzyme activity may vary significantly among individuals, disease states, and tumor/inflammatory lesions. Thus, optimizing enzyme cleavage site sensitivity, carrier stability, and release kinetics based on actual enzyme expression remains critical. Furthermore, synthetic complexity, large-scale production, and quality control present barriers to clinical translation of enzyme-responsive nano-TPD. Although preliminary <italic>in vivo</italic> data demonstrate efficacy, systemic safety, localization and degrader release efficiency in complex microenvironments, and long-term effects still require comprehensive evaluation.</p>
      </sec>
      <sec id="sec2-3">
        <title>ROS/GSH-responsive</title>
        <p>Under normal physiological conditions, intracellular redox reactions are typically maintained in a state of equilibrium<sup>[<xref ref-type="bibr" rid="B59">59</xref>]</sup>. However, tumor tissues experience disturbances in oxidizing and reducing agents due to environmental factors and signal regulation, leading to redox imbalance. These disturbances subsequently influence tumor cell behavior, including metabolism, proliferation, metastasis, and drug resistance<sup>[<xref ref-type="bibr" rid="B60">60</xref>]</sup>.</p>
        <p>ROS represent the main oxidizing agents inside cells. ROS are mainly generated by the mitochondrial respiratory chain during oxidative stress. Common ROS include hydroxyl radicals (•OH), superoxide anions (•O<sub>2</sub>-), singlet oxygen (<sup>1</sup>O<sub>2</sub>), and H<sub>2</sub>O<sub>2</sub><sup>[<xref ref-type="bibr" rid="B61">61</xref>]</sup>. Under normal conditions, ROS remain at low levels (0.02-1 μM), supporting normal cell growth and apoptosis. However, when ROS levels significantly rise (50-100 μM) ,proteins associated with ROS-sensitive signaling pathways become activated, leading to oxidative stress in tumors or inflamed tissues<sup>[<xref ref-type="bibr" rid="B62">62</xref>]</sup>. The main reducing agents within cells include GSH, Catalase (CAT), thioredoxin, and Fe<sup>2+</sup>. Among these, GSH has the highest cytoplasmic concentration in tumor cells (2-10 mM), greatly exceeding its extracellular concentration (2-20 μM)<sup>[<xref ref-type="bibr" rid="B63">63</xref>]</sup>. GSH concentration in tumor cells is about 1000-fold higher than in plasma and at least four times greater than in normal tissues<sup>[<xref ref-type="bibr" rid="B64">64</xref>]</sup>.</p>
        <p>Chen’s group developed ROS-responsive Pre-PROTACs, a type of ROS-responsive small-molecule conjugate, by introducing ROS-cleavable groups (aryl boronic acid) into the parent PROTAC molecules. These Pre-PROTACs efficiently degrade the target protein BRD3 in response to elevated ROS levels<sup>[<xref ref-type="bibr" rid="B65">65</xref>]</sup>. Bi <italic>et al.</italic> designed a ROS-responsive nano-PROTAC (BT-NanoPROTAC) targeting BRD4, which is formed by the self-assembly of Small-Molecule Conjugate BT-PROTAC (ARV771 modified with a boronic acid group) and Poloxamer 188 into nanoparticles and remains stable in the bloodstream. This system leverages the high ROS levels in activated hepatic stellate cells (aHSCs) to release ARV771, a potent BRD4 degrader. The BT-NanoPROTAC specifically degrades BRD4 in aHSCs, downregulating fibrosis markers such as α-SMA and type I collagen, thus demonstrating therapeutic potential for hepatic fibrosis both <italic>in vitro</italic> and <italic>in vivo</italic><sup>[<xref ref-type="bibr" rid="B66">66</xref>]</sup>. The ROS-guided supramolecular assembly system (TCO-MZ1) contains a PROTAC precursor and ROS-sensitive monomers. In the ROS-rich tumor environment, oxidative reactions occur in these monomers, reorganizing micelles into more stable nanofiber structures and prolonging PROTAC retention in tumors. Concurrently, ROS triggers precursor activation, degrading PD-L1 and reversing the immunosuppressive microenvironment<sup>[<xref ref-type="bibr" rid="B67">67</xref>]</sup>.</p>
        <p>The redox balance in tumor cells is disrupted, with GSH concentrations (10-20 mM) significantly higher than normal tissues (2-10 μM), accompanied by substantially elevated ROS levels. ROS/GSH-responsive self-assembled nano-TPDs employ sensitive linkers, such as disulfide and selenoether bonds, which break upon changes in the redox environment to release PROTACs. Glutathione-scavenging nanoparticles (ARV@PDSA Nano-PROTAC) possess a core-shell structure created by polymer self-assembly. The core encapsulates PROTAC agents, and the shell features a GSH-sensitive cross-linked disulfide network. Upon entering tumor cells, high intracellular GSH concentrations cleave the disulfide bonds, triggering carrier disassembly and PROTAC release. Simultaneously, these nanoparticles consume excess GSH, increasing oxidative stress and synergistically enhancing HER2 degradation. This approach achieves a 40% higher tumor growth inhibition rate compared to PROTAC treatment alone<sup>[<xref ref-type="bibr" rid="B68">68</xref>]</sup>. To address the broad-spectrum cytotoxicity issues associated with molecular glues, the Yuan team designed a targeted molecular glue, H1-mGlu, against the Bcr-Abl protein, and constructed a self-assembling nanocarrier, Cle-NP. This system triggers drug release through high concentrations of GSH/H<sub>2</sub>O<sub>2</sub> in the tumor microenvironment, achieving tumor-specific degradation. <italic>In vitro</italic> experiments demonstrated that Cle-NP exhibited a median inhibitory concentration (GI<sub>50</sub> = 74.8 nM) for K562 cells, effectively degraded Bcr-Abl (DC<sub>50</sub> = 0.89 μM), and induced apoptosis. <italic>In vivo</italic>, Cle-NP significantly inhibited tumor growth (TGI = 78.1%) in K562 xenograft models without causing notable liver damage or weight loss, resolving the systemic toxicity issues of traditional molecular glues and providing a novel strategy for precision cancer therapy<sup>[<xref ref-type="bibr" rid="B29">29</xref>]</sup>. The self-assembled LYTAC nanosystem connective tissue growth factor (CTGF)-LYTAC (NanoCLY) is a GSH-responsive nanoparticle self-assembled from amphiphilic chimeras, which targets CTGF by forming nanoaggregates through peptide chain hydrophobic interactions, with tumor-targeting peptides on its surface. Upon entering the GSH-rich intracellular environment, the disulfide bonds linking the hydrophilic CL8-M6P and the hydrophobic lauryl group are cleaved, disrupting the amphiphilic balance of the chimeras and leading to the disassembly of the originally self-assembled spherical nanostructures, thereby releasing the functional drug molecule CL8-M6P. This process mediates CTGF degradation and remodels the inflammatory TME, significantly enhancing the therapeutic efficacy against triple-negative breast cancer<sup>[<xref ref-type="bibr" rid="B69">69</xref>]</sup>.</p>
        <p>ROS-responsive nano-TPD systems are characterized by rapid response and high selectivity. However, ROS molecules have short half-lives <italic>in vivo</italic> (e.g., approximately milliseconds to seconds for H<sub>2</sub>O<sub>2</sub>). Additionally, variability in ROS types among different lesions (e.g., H<sub>2</sub>O<sub>2</sub> predominant in tumors, superoxide anions predominant in inflammation) may impact carrier response efficiency and TPD<sup>[<xref ref-type="bibr" rid="B70">70</xref>,<xref ref-type="bibr" rid="B71">71</xref>]</sup>.</p>
        <p>Overall, endogenous condition - initiated nano-TPD systems exploit intrinsic physicochemical and biochemical disparities between diseased and normal tissues to achieve passive targeting and stimulus-responsive activation without external inputs. Owing to their design simplicity and biological relevance, this activation mode remains the most extensively investigated strategy in nano-TPD research. However, its reliance on heterogeneous endogenous signals also highlights inherent limitations in controllability and activation precision, motivating the exploration of exogenously triggered and multi-condition - initiated nano-TPD systems discussed in the following sections.</p>
      </sec>
    </sec>
    <sec id="sec3">
      <title>EXOGENOUSLY INITIATED NANO-TPD SYSTEMS</title>
      <p>Endogenously triggered TPD (especially prodrug/nanodelivery-based degradation systems activated by tumor-endogenous signals) is susceptible to the complexity and heterogeneity of the tumor microenvironment, interpatient variability, and tumor evolution, leading to uncertainties in activation efficiency and site-specificity. Meanwhile, PROTAC molecules themselves generally face challenges such as insufficient cell membrane permeability and limited <italic>in vivo</italic> exposure/stability, rendering precise regulation after administration relatively difficult. In contrast, exogenous triggering relies on externally applied non-physiological signals (e.g., light, ultrasound, magnetic fields, bioorthogonal reactions) to induce responses, offering advantages of remote controllability and high spatiotemporal precision. This approach can partially enhance the selectivity of the degradation process and reduce the risk of systemic toxicity<sup>[<xref ref-type="bibr" rid="B72">72</xref>]</sup> [<xref ref-type="table" rid="t2">Table 2</xref>].</p>
      <p>The integration of exogenous stimulus-responsive materials with PROTAC technology can further minimize off-target exposure through nanodelivery and “activatable/releasable” designs, improve stability in biological media, enable on-demand therapy, and enhance cellular uptake and transmembrane delivery efficiency<sup>[<xref ref-type="bibr" rid="B73">73</xref>]</sup>. Based on the physicochemical properties of the triggering signals, exogenous stimuli are generally categorized into two major types: physical signal-triggered and chemical signal-triggered<sup>[<xref ref-type="bibr" rid="B74">74</xref>]</sup> [<xref ref-type="fig" rid="fig3">Figure 3</xref>].</p>
      <fig id="fig3" position="float">
        <label>Figure 3</label>
        <caption>
          <p>Exogenous signals triggering the nano-TPD systems. FigDraw ID:ISAOU2d242. TPD: Targeted protein degradation; UPS: ubiquitin-proteasome system.</p>
        </caption>
        <graphic xlink:href="microstructures50173.fig.3.jpg"/>
      </fig>
      <p>Exogenously initiated self-assembled nano-TPD systems have recently attracted growing attention. In these platforms, PROTAC conjugates or functional building blocks form supramolecular nanostructures through noncovalent interactions, ensuring structural stability during systemic delivery. Upon exposure to an external stimulus, such as light, Magnetic or ultrasound, the supramolecular assembly undergoes structural rearrangement or disassembly, leading to rapid PROTAC activation or release<sup>[<xref ref-type="bibr" rid="B75">75</xref>,<xref ref-type="bibr" rid="B76">76</xref>]</sup>. This stimulus-driven assembly - disassembly behavior enables precise temporal control over protein degradation and allows degradation to be initiated only at the desired anatomical site.</p>
      <sec id="sec3-1">
        <title>Physical signal activation</title>
        <p>Physical signal activation represents a pivotal strategy that triggers system responses through externally applied physical energy (e.g., light, ultrasound, or magnetic fields). Compared with endogenous microenvironmental response mechanisms, these systems are immune to individual variations or pathological heterogeneity, demonstrating excellent predictability and reproducibility<sup>[<xref ref-type="bibr" rid="B77">77</xref>]</sup>. Furthermore, physical signal stimulation offers distinct advantages including non-invasiveness, remote control capability, and precise parameter adjustment. This enables researchers to initiate or enhance protein degradation processes at specific temporal and spatial locations, achieving high-precision modulation of target protein degradation. Such highly controllable stimulation methods provide novel opportunities to minimize systemic side effects and optimize therapeutic windows.</p>
        <sec id="sec3-1-1">
          <title>Light-responsive Systems</title>
          <p>The non-invasive and tunable properties of light (intensity and wavelength) facilitate remote spatial-temporal control of photosensitive nanomaterials at targeted sites <italic>in vivo</italic>. This has led to their widespread adoption in biomedical applications<sup>[<xref ref-type="bibr" rid="B78">78</xref>,<xref ref-type="bibr" rid="B79">79</xref>]</sup> [<xref ref-type="fig" rid="fig4">Figure 4</xref>].</p>
          <fig id="fig4" position="float">
            <label>Figure 4</label>
            <caption>
              <p>Light-responsive nano-TPD systems. FigDraw ID:WIIPU29991. TPD: Targeted protein degradation; POI: protein of interest; ROS: reactive oxygen species.</p>
            </caption>
            <graphic xlink:href="microstructures50173.fig.4.jpg"/>
          </fig>
          <p>Primary light-mediated therapies include photothermal therapy (PTT) and PDT <sup>[<xref ref-type="bibr" rid="B80">80</xref>]</sup>. PTT employs photothermal conversion agents (PTCAs) to convert light into heat, achieving localized cancer ablation<sup>[<xref ref-type="bibr" rid="B81">81</xref>]</sup>. PDT activates photosensitizers using safe visible light. These photosensitizers interact with substrates, such as cell membranes, generating free radicals or directly reacting with oxygen to produce cytotoxic ROS. This induces cellular stress and death responses in tumors<sup>[<xref ref-type="bibr" rid="B82">82</xref>,<xref ref-type="bibr" rid="B83">83</xref>]</sup>. Most photosensitizers are responsive to ultraviolet (UV) and visible light; however, limited penetration depth and potential phototoxicity restrict their clinical applications. Thus, near-infrared (NIR) light, with deeper penetration and reduced toxicity, has gained attention<sup>[<xref ref-type="bibr" rid="B84">84</xref>,<xref ref-type="bibr" rid="B85">85</xref>]</sup>.</p>
          <p>Combining photosensitizers with PROTAC technology generally employs two approaches. The first method involves encapsulating PROTAC molecules within photocages containing photosensitizers. Upon targeted illumination, these photocages degrade, releasing PROTACs at specific sites. Additionally, phototherapy enhances the degradation efficiency against targeted tissues<sup>[<xref ref-type="bibr" rid="B86">86</xref>-<xref ref-type="bibr" rid="B88">88</xref>]</sup>. The Zhang research group develop a near-infrared light-controlled PROTAC delivery device (USDPR) by encapsulated BRD4-targeting PROTACs (dBET6) within hollow silica-coated upconversion nanoparticles (UCNPs). They then coated these nanoparticles with a cationic polymer composed of polylysine covalently linked to the rose bengal photosensitizer. This cationic polymer transfers energy from UCNPs to the photosensitizer, generating ROS, disrupting cell membranes, facilitating PROTAC entry into the cytoplasm, and preventing entrapment in endosomes or lysosomes<sup>[<xref ref-type="bibr" rid="B86">86</xref>]</sup>. The Yu research group loaded photocaged PROTAC (phoBET1) into UCNP-based mesoporous silica nanoparticles (UMSNs), forming a NIR light-activatable PROTAC nanocage (UMSNs@phoBET1). Under NIR irradiation, UCNPs convert NIR into UV light, removing the photocage from PROTAC and releasing its active form，thereby degrading bromodomain-containing protein 4 (BRD4) and inducing apoptosis in MV-4-11 cancer cells<sup>[<xref ref-type="bibr" rid="B87">87</xref>]</sup>.</p>
          <p>The second approach directly conjugates a photosensitizer to the PROTAC through a cleavable linker. Upon light exposure, the ROS generated by the photosensitizer cleaves the linker, releasing active PROTAC. The released ROS also induces apoptosis in targeted cells, enhancing antitumor effects<sup>[<xref ref-type="bibr" rid="B89">89</xref>,<xref ref-type="bibr" rid="B90">90</xref>]</sup>. The Li research group conjugated the PROTAC (ARV-771) with a NIR photosensitizer (pheophorbide a, PA) using a self-immolative thioketal linker<sup>[<xref ref-type="bibr" rid="B89">89</xref>]</sup>. Under NIR irradiation, PA generates <sup>1</sup>O<sub>2</sub>, cleaving the linker to release PROTAC while simultaneously performing PDT. Light-responsive activation leverages the penetration depth and precise control of specific wavelengths (particularly NIR light) to activate photosensitizers, generating ROS or triggering photoisomerization. This leads to nano-TPD depolymerization or PROTAC activation, enabling accurate spatial-temporal regulation of protein degradation. The self-assembled nano-PROTAC system is formed by covalently linking the NIR photosensitizer (pheophorbide a) with a BRD4-targeting PROTAC (ARV-771) through a self-immolative thioketal linker, subsequently self-assembling into nanoparticles (NAP). Following intravenous injection, NAP accumulates at tumor sites due to EPR effect. Under 670 nm NIR irradiation, PA generates <sup>1</sup>O<sub>2</sub>, which cleaves the linker, releasing PROTAC and inducing apoptosis of tumor cells. The released PROTAC degrades BRD4 protein, achieving an 83.4% tumor inhibition rate in combination with PDT.</p>
        </sec>
        <sec id="sec3-1-2">
          <title>Ultrasound-responsive systems</title>
          <p>Although near-infrared light-activated targeted degradation drugs have been developed for safer and more effective tumor therapy, limitations remain, including shallow tissue penetration (less than 1 cm) and potential phototoxicity<sup>[<xref ref-type="bibr" rid="B91">91</xref>,<xref ref-type="bibr" rid="B92">92</xref>]</sup>.Conversely, ultrasound possesses greater tissue penetration (more than 10 cm) and provides safe, non-ionizing radiation. Its penetration depth can be precisely regulated by adjusting frequency, duty cycle, and exposure duration<sup>[<xref ref-type="bibr" rid="B76">76</xref>,<xref ref-type="bibr" rid="B91">91</xref>,<xref ref-type="bibr" rid="B93">93</xref>,<xref ref-type="bibr" rid="B94">94</xref>]</sup>. Thus, ultrasound-mediated targeted drugs have attracted significant attention. Studies suggest that ultrasound-mediated sonodynamic therapy (SDT) operates through two primary mechanisms. The first mechanism is cavitation, whereby ultrasound irradiation causes cavitation nuclei in liquids to undergo expansion, contraction, and rupture, producing high temperatures and pressures. This process leads to pyrolysis and generates ROS. The second mechanism involves ultrasound luminescence. Here, cavitation bubbles emit light upon ultrasound irradiation, activating sonosensitizers to form electron-hole pairs and generate ROS<sup>[<xref ref-type="bibr" rid="B92">92</xref>,<xref ref-type="bibr" rid="B93">93</xref>,<xref ref-type="bibr" rid="B95">95</xref>,<xref ref-type="bibr" rid="B96">96</xref>]</sup>.</p>
          <p>Researchers have combined SDT with LYTAC-mediated immunotherapy. The Pu research group designed a targeted polymeric nano-lysosome-targeting chimera (SPNly)<sup>[<xref ref-type="bibr" rid="B94">94</xref>]</sup>. This construct comprises a semiconducting polymer backbone (PCPDTODBT) conjugated via polyethylene glycol (PEG) linkers with interleukin-4 receptor (IL-4R)-targeting peptide (IL4Rp) and lysosome-sorting peptide (LSP) moieties. Ultrasound irradiation induces sonoluminescence in the 350-650 nm wavelength range, activating nano-LYTAC to generate <sup>1</sup>O<sub>2</sub>, thereby causing ICD of tumor cells. Nano-LYTAC also targets IL-4R, highly expressed on M2 macrophages, and mediates IL-4R degradation via the endosome-lysosome pathway. Consequently, nano-LYTAC modulates M2 macrophage function in a dose-dependent manner, reducing protumor markers (CD206 expression and IL-10 secretion) at lower concentrations and inducing apoptosis at higher concentrations. Additionally, nano-LYTAC exhibits prolonged retention in tumors (> 48 h), enabling multiple rounds of SDT from a single administration.</p>
        </sec>
        <sec id="sec3-1-3">
          <title>Magnetic-responsive systems</title>
          <p>Due to inherent magnetism, superparamagnetism, and low toxicity, magnetic nanocarriers have broad biomedical applications<sup>[<xref ref-type="bibr" rid="B97">97</xref>]</sup>. Under a static magnetic field, magnetic nanoparticles can achieve magnetic targeting - mediated accumulation, thereby modulating the <italic>in vivo</italic> distribution and localized deposition of therapeutic agents. In contrast, exposure to an alternating magnetic field enables magnetic hyperthermia, which induces localized temperature elevation and, in certain systems, enhances oxidative stress or reactive oxygen species generation, ultimately leading to therapeutic sensitization or stimuli-triggered drug release<sup>[<xref ref-type="bibr" rid="B98">98</xref>-<xref ref-type="bibr" rid="B100">100</xref>]</sup>. In addition, magnetic nanomaterials can serve as magnetic resonance imaging (MRI) contrast agents or responsive magnetic resonance (MR) nanoprobes for tumor imaging and theranostic applications<sup>[<xref ref-type="bibr" rid="B101">101</xref>]</sup>. Furthermore, magnetic nanoparticles can synergistically combine EPR-based passive accumulation with externally applied magnetic field - guided targeting to further enhance drug accumulation in tumor tissues, and this effect can be augmented by ligand-mediated active targeting strategies to improve targeting efficiency<sup>[<xref ref-type="bibr" rid="B102">102</xref>,<xref ref-type="bibr" rid="B103">103</xref>]</sup>.</p>
          <p>Currently, research on magnetic nanocarriers conjugated with PROTAC remains limited. Sun’s group sequentially administered two therapeutic agents within the TME. First, biodegradable calcium-doped manganese carbonate-coated magnetic nanoclusters (MCM) loaded with BRD4-targeted PROTAC (ARV-825, forming MCM/ARV) were delivered. This was followed by administration of magnetic nanocluster (MNC)-modified bone marrow-derived dendritic cells (M-BMDCs). This strategy increased dendritic cell (DC) presence in the TME and magnetized tumor-associated antigens (TAAs) released by PROTAC-induced tumor ICD. Magnetized TAAs then attracted M-BMDCs, significantly improving antigen uptake and DC activation, thereby initiating potent antitumor immune responses<sup>[<xref ref-type="bibr" rid="B104">104</xref>]</sup>.</p>
        </sec>
      </sec>
      <sec id="sec3-2">
        <title>Chemical signal activation</title>
        <p>Chemically activated nanoscale protein degradation systems primarily utilize exogenous bioorthogonal reactions as their trigger mechanism. By introducing bioorthogonal chemical reagents or specific enzyme-substrate pairs, these systems induce highly targeted chemical reactions within complex biological systems to activate the degradation process. As bioorthogonal reactions do not interfere with endogenous biochemical processes, this strategy demonstrates distinct advantages including high reaction specificity and excellent biocompatibility, enabling precise and controlled protein degradation in cellular or <italic>in vivo</italic> environments<sup>[<xref ref-type="bibr" rid="B105">105</xref>]</sup>.</p>
        <p>Currently, chemical signal activation strategies primarily fall into two categories: click chemistry-based approaches and enzyme-catalyzed orthogonal reactions. The former utilizes classical or modified click chemistry reactions to achieve <italic>in-situ</italic> assembly or conformational transformation of target molecules, while the latter relies on substrate conversion mediated by specific enzymes to enable spatiotemporal control of degradation activity<sup>[<xref ref-type="bibr" rid="B106">106</xref>]</sup>. These strategies provide crucial tools for constructing highly selective nanoscale protein degradation systems in complex biological environments.</p>
        <sec id="sec3-2-1">
          <title>Click reaction</title>
          <p>Click chemistry triggers cycloaddition reactions by externally introducing orthogonal reagents [e.g., azide, Dibenzocyclooctyne (DBCO), tetrazine]<sup>[<xref ref-type="bibr" rid="B107">107</xref>]</sup>. This method enables <italic>in situ</italic> activation or assembly of nanocarriers and provides precise control over the release of degradation modules. Huang <italic>et al.</italic> developed a microneedle-assisted, click chemistry-activated PROTAC system. Tetrazine (Tz) was encapsulated within dissolvable microneedles, and a PROTAC prodrug (MZ1-O) was loaded into poly (lactic-co-glycolic acid) (PLGA) nanoparticles (MZ1-O@NP)<sup>[<xref ref-type="bibr" rid="B108">108</xref>]</sup>. Following microneedle-mediated local Tz release at the tumor site, Tz reacts with intravenously administered MZ1-O@NP via inverse electron-demand Diels-Alder (IEDDA) click chemistry. This reaction removes the prodrug’s protective group, activating MZ1. The active MZ1 subsequently degrades BRD4 protein, significantly inhibiting tumor growth.</p>
          <p>Notably, bioorthogonal click reactions such as Strain-Promoted Azide-Alkyne Cycloaddition (SPAAC) and IEDDA offer highly selective and biocompatible activation mechanisms, allowing nano-PROTAC systems to achieve spatiotemporally controlled protein degradation through externally triggered <italic>in situ</italic> prodrug conversion or supramolecular assembly<sup>[<xref ref-type="bibr" rid="B109">109</xref>,<xref ref-type="bibr" rid="B110">110</xref>]</sup>. The bioorthogonal chemistry-based, <italic>in vivo</italic> self-assembling PROTAC system (Nano-CLIPTACs) comprises nano-precursors prepared by separately encapsulating trans-cyclooctene-tagged (TCO-tagged) protein-of-interest (POI) ligands (POI-TCO) and tetrazine-tagged pomalidomide derivatives (POM-TZ) into cRGD-modified liposomes. After intravenous co-administration, the nano-precursors accumulate at the tumor site via EPR effects, triggering <italic>in situ</italic> PROTAC formation through IEDDA click chemistry. These assembled PROTAC molecules specifically degrade anaplastic lymphoma kinase (ALK). In an ALK-positive H3122 lung cancer xenograft model, the high-dose group achieved a 77.4% tumor inhibition rate<sup>[<xref ref-type="bibr" rid="B111">111</xref>]</sup>. Bioorthogonal POLY-PROTAC nanoparticles were prepared via PEG-induced RAFT copolymerization, resulting in amphiphilic polymers with azide-terminated groups. PROTAC precursors (Me-ARV771/Me-MZ1) were grafted onto polymer backbones via disulfide bonds, forming micellar nanocarriers through self-assembly. Following intravenous injection of DBCO-modified pretargeting nanoparticles (PED NPs), the NPs dissociate within the acidic TME, exposing DBCO groups. Subsequently administered azide-modified POLY-PROTACs react with exposed DBCO groups, cross-linking and solidifying the carriers, thus extending their retention at tumor sites. Simultaneously, PROTAC precursors are released by GSH-mediated disulfide cleavage in tumor cells, specifically degrading bromodomain-containing protein 4 (BRD4). This approach exhibits favorable biocompatibility, with no significant weight loss or organ pathology observed during treatment<sup>[<xref ref-type="bibr" rid="B112">112</xref>]</sup>.</p>
        </sec>
        <sec id="sec3-2-2">
          <title>Enzymatic orthogonal reactions</title>
          <p>Enzymatic orthogonal reactions regulate TPD by artificially introducing orthogonal enzymes or substrates minimally expressed in normal tissues, specifically activating degradation modules at tumor sites.</p>
          <p>The Xing research group developed enzyme-activated clickable PROTAC (ENCTACs). These consist of a pomalidomide derivative (Module 1, Y952) bearing a cathepsin B (CTSB)-cleavable Val-Cit peptide bond and a GSH-responsive -StBu protective group, and a JQ1 derivative (Module 2, J558) modified with 2-cyanobenzothiazole (CBT). Both small-molecule fragments are administered intravenously, reaching the tumor site. Highly expressed CTSB at the tumor site cleaves the Val-Cit peptide, exposing an amino group. Additionally, high intracellular GSH concentrations reduce and remove the -StBu protective group, releasing a free thiol group. This thiol subsequently reacts with CBT from Module 2 through an enzymatic orthogonal condensation reaction. The assembled PROTAC specifically degrades BRD4, downregulates PD-L1 expression, and significantly enhances infiltration of CD4<sup>+</sup> and CD8<sup>+</sup> effector T-cells into tumor tissue<sup>[<xref ref-type="bibr" rid="B113">113</xref>]</sup>.</p>
          <p>Collectively, while exogenously initiated nano-TPD systems markedly improve controllability and precision compared with endogenous strategies, their dependence on single external triggers highlights the need for more sophisticated activation paradigms. These considerations have driven the emergence of multi-condition - responsive nano-TPD platforms, in which endogenous pathological cues are integrated with exogenous control signals to achieve logic-gated, highly selective, and safer protein degradation, as discussed in the following section.</p>
        </sec>
      </sec>
    </sec>
    <sec id="sec4">
      <title>MULTI-CONDITIONALLY RESPONSIVE NANO-TPD SYSTEMS</title>
      <p>Despite significant advances in both endogenous- and exogenously initiated nano-TPD platforms, the clinical translation of PROTAC-based therapies remains hampered by insufficient tumor specificity, residual off-target degradation, and pronounced heterogeneity of the TME. Single-trigger activation - whether relying solely on endogenous pathological cues or externally applied physical stimuli - often fails to simultaneously achieve high biological specificity and precise spatiotemporal controllability<sup>[<xref ref-type="bibr" rid="B114">114</xref>-<xref ref-type="bibr" rid="B116">116</xref>]</sup>. These limitations have driven the development of multi-conditionally responsive nano-TPD systems. Multi-condition-responsive nano-targeted degradation systems combine two or more activation signals (e.g., endogenous-endogenous, endogenous-exogenous, or exogenous-exogenous) to construct sequential response or multiple stimulus response mechanisms. This enables controlled release and/or activation of degradants upon specific signal combinations, thereby enhancing spatiotemporal selectivity in protein degradation while potentially reducing systemic toxicity<sup>[<xref ref-type="bibr" rid="B117">117</xref>]</sup>.</p>
      <p>Currently, nano-PROTAC spatiotemporal control strategies predominantly involve “single exogenous + single endogenous” or “dual endogenous” activation. A single exogenous signal (e.g., light, ultrasound, or magnetic fields) already provides centimeter-level spatial resolution at tumor sites. Coupling with endogenous TME-derived signals (e.g., pH, enzyme, or ROS/GSH) sufficiently achieves precise activation<sup>[<xref ref-type="bibr" rid="B118">118</xref>]</sup>. Although integrating a second exogenous physical stimulus may further reduce off-target effects, precise <italic>in vivo</italic> alignment of two physical fields substantially increases risks related to therapeutic windows, positioning accuracy, and consistency. Furthermore, PROTACs irreversibly degrade target proteins via the UPS, while nanocarriers typically mediate PROTAC release through lysosomal pathways. Considering the intrinsic high activity of PROTAC molecules, researchers prioritize preventing false activation over introducing additional gating components<sup>[<xref ref-type="bibr" rid="B119">119</xref>]</sup>. Additionally, dual-exogenous responsiveness necessitates integrating nanocarriers, PROTACs, dual-responsive moieties, and potential imaging agents. Such complexity presents significant barriers to scale-up production, batch reproducibility, metabolic analysis, and safety evaluation<sup>[<xref ref-type="bibr" rid="B120">120</xref>]</sup>. To date, no <italic>in vivo</italic> proof-of-concept study for “dual-exogenous activation nano-PROTACs” has been reported, with related discussions still at a theoretical stage. Thus, based on recent progress, this review elaborates on combined activation systems from two perspectives: “dual endogenous activation” and “endogenous-exogenous activation” [<xref ref-type="fig" rid="fig5">Figure 5</xref>].</p>
      <fig id="fig5" position="float">
        <label>Figure 5</label>
        <caption>
          <p>Schematic of precise activation strategies and delivery-degradation process for nano-TPD systems. (A) Left panel: Responsive conditions and responsive process of the Dual Endogenous Signal-responsive nano-TPD Systems; Right panel: Responsive conditions and responsive process of the Endogenous-Exogenous Combined Activation nano-TPD Systems; (B) Overall flowchart of the Multi-conditionally responsive nano-TPD Systems. FigDraw ID:TUTPRf5a0d. TPD: Targeted protein degradation; UPS: ubiquitin-proteasome system; POI: protein of interest; ROS: reactive oxygen species; EPR: enhanced permeability and retention; TME: tumor microenvironment.</p>
        </caption>
        <graphic xlink:href="microstructures50173.fig.5.jpg"/>
      </fig>
      <sec id="sec4-1">
        <title>Dual endogenous signal-responsive systems</title>
        <p>Dual-endogenous co-activation systems target two distinct pathological signals within the TME, including pH, enzyme activity, ROS, GSH, and copper ions<sup>[<xref ref-type="bibr" rid="B121">121</xref>,<xref ref-type="bibr" rid="B122">122</xref>]</sup>. Leveraging synergistic effects of these signals provides dual verification, ensuring degradation initiation only occurs at the intended site. This strategy is particularly effective for malignancies characterized by clearly defined microenvironmental profiles, such as pancreatic and lung cancers<sup>[<xref ref-type="bibr" rid="B123">123</xref>]</sup>.</p>
        <sec id="sec4-1-1">
          <title>Combination of pH and enzyme or GSH signals</title>
          <p>Sequential response to pH and enzyme signals represents a classical design within this category. Yang <italic>et al.</italic> developed pH/CTSB sequential-responsive nanoparticles (PSRNs) based on the acidic TME (pH 6.5-7.0) and high CTSB expression in colorectal cancer (CRC) lysosomes. The system employs block copolymer PEG-b-P(EPA-r-PROTAC) as the carrier, conjugating CDK4/6-targeting PROTAC to the copolymer backbone via the CTSB-sensitive tetrapeptide (GFLG). Under physiological conditions (pH 7.4), PSRNs maintain a stable nanoparticle structure (~40 nm) to prolong blood circulation. Upon entering acidic tumor regions, EPA chains become protonated, causing nanoparticle dissociation into smaller unimers (&lt; 10 nm), facilitating tumor penetration. Ultimately, CTSB cleaves the GFLG tetrapeptide in lysosomes, precisely releasing active PROTAC. <italic>In vivo</italic> experiments demonstrated a CDK4/6 degradation efficiency for PSRNs 2.6-3.0 times higher than that of free PROTAC. In combination with α-PD-1 therapy, PSRNs significantly inhibited tumor growth in the CT26 CRC model and markedly prolonged survival of treated mice<sup>[<xref ref-type="bibr" rid="B124">124</xref>]</sup>.</p>
          <p>The combined response to pH and GSH also demonstrates excellent therapeutic outcomes in lung cancer. Guan <italic>et al.</italic> developed the RLDPB [cRGD/Lewis Lung Cancer (LLC) membrane/DS-PLGA/dBET6, RLDPB is a nano-PROTAC drug named by the authors] micelles nano-system utilizing disulfide-linked PLGA (DS-PLGA) carriers to encapsulate BRD4-targeting PROTAC (dBET6), with surface modification by LLC cell membranes and cRGD ligands. The acidic intracellular environment accelerates PLGA hydrolysis, while high GSH concentrations cleave disulfide bonds, resulting in dual-responsive carrier degradation. The dual response to pH (5.5) and high GSH levels (5-10 mM) significantly enhances dBET6 release, achieving an 80% release rate. RLDPB efficiently degrades BRD4 in LLC cells, outperforming free dBET6 and single-responsive carriers. Tumor tissue drug enrichment is substantially improved, with fluorescence intensity 10.2 times greater than surrounding normal muscle<sup>[<xref ref-type="bibr" rid="B125">125</xref>]</sup>. Zhang <italic>et al.</italic> further expanded this concept by targeting TAMs with the CREATE (CRV-LLC membrane/DS-PLGA/dBET6, CREATE is a nano-PROTAC drug named by the authors) system, which is constructed by using a pH/GSH (glutathione)-responsive polymer (disulfide bond-linked poly(lactic-co-glycolic acid), DS-PLGA) to load BRD4-targeted PROTAC (dBET6)<sup>[<xref ref-type="bibr" rid="B126">126</xref>]</sup>. They achieved dual targeting via LLC cell membranes modified with CRV-Lamp2 fusion protein (CRV-LLCM). This modification allows homotypic targeting of lung cancer cells and specific binding to TAMs through the CRV ligand. The pH/GSH-responsive release simultaneously degrades BRD4 in both cell types, reshaping the tumor immune microenvironment. In orthotopic lung cancer models, CREATE significantly suppressed tumor growth, extended survival (90% of tumor-bearing mice survived beyond 18 days), and significantly reduced lung tumor weight compared with controls.</p>
        </sec>
        <sec id="sec4-1-2">
          <title>Combination of ROS with copper ion signals</title>
          <p>The synergy between ROS and copper ions presents a novel strategy for cuproptosis-sensitizing PROTACs. Wang <italic>et al.</italic> developed a nano-system (CuS-MD@CS) based on PROTAC sensitized for cuproptosis. Targeting the elevated ROS levels and copper ion accumulation characteristic of lung cancer cells, the researchers loaded the MDM2-targeting PROTAC (MD-224) into copper sulfide (CuS) nanoparticles capable of releasing copper ions. Endogenous ROS in the TME triggers nanoparticle dissociation, releasing both PROTAC and copper ions (Cu<sup>2+</sup>) to create a dual “ROS - copper ion” signal. On one hand, PROTAC degrades MDM2, upregulating p53 to suppress glycolysis and cell cycle progression. On the other hand, ROS and copper ions jointly promote lipid peroxidation, enhancing cuproptosis. <italic>In vitro</italic> experiments demonstrated that this system significantly increased the apoptosis rate of A549 cells compared to free PROTAC. <italic>In vivo</italic>, the lung cancer model showed considerable suppression of tumor growth and marked reduction in tumor volume relative to controls<sup>[<xref ref-type="bibr" rid="B127">127</xref>]</sup>.</p>
        </sec>
      </sec>
      <sec id="sec4-2">
        <title>Endogenous-exogenous combined activation systems</title>
        <p>The endogenous - exogenous co-activated nano-TPD system integrates a nanocarrier core with dual activation modules: “endogenous TME signals” (e.g., pH, enzyme, hypoxia, or ROS/GSH) and “externally controlled exogenous signals” (e.g., light, ultrasound, or magnetic fields)<sup>[<xref ref-type="bibr" rid="B128">128</xref>]</sup>. This technology triggers TPD via cascaded synergy between these two signal types. Its core advantage is “dual-signal-dependent precise activation”, exogenous signals provide controlled spatial and temporal initiation, while endogenous signals ensure specificity and amplify degradation effects within target regions. Requiring simultaneous activation by multiple signals improves targeting specificity, reducing off-target effects associated with single-signal fluctuations. By integrating endogenous targeting and exogenous control, the system achieves progressive “tumor localization → on-demand degradation”, adapting to complex pathological environments. This approach addresses TME heterogeneity by responding to multiple signals, covering broader pathological conditions. It also significantly reduces PROTAC exposure in healthy tissues, representing one of the most clinically promising systems currently available<sup>[<xref ref-type="bibr" rid="B129">129</xref>]</sup>.</p>
        <p>Existing systems generally achieve synergy via two cascade modes: “exogenous signal localization → endogenous signal activation” or “exogenous signal triggering → endogenous signal amplification”. Relevant literature is classified by the type of exogenous signal applied.</p>
        <sec id="sec4-2-1">
          <title>Combination of light and enzyme signals</title>
          <p>Systems centered on exogenous laser-triggered ROS generation and endogenous CTSB activation achieve tumor-specific protein degradation and immune activation. Park <italic>et al.</italic> designed a nano-PROTAC termed NanoTAC, self-assembled from hexokinase II (HK2)-targeting PROTAC and photosensitizer verteporfin (VPF) linked via a CatB-sensitive peptide (KRR)<sup>[<xref ref-type="bibr" rid="B130">130</xref>]</sup>. Upon laser irradiation, VPF generates ROS, causing tumor cell pyroptosis and release of tumor-associated antigens (TAAs) to stimulate immune responses. Concurrently, tumor-overexpressed CatB cleaves the KRR peptide, releasing PROTAC to degrade HK2, thereby suppressing glycolysis and mitochondrial respiration. This dual-signal synergy enabled significantly superior HK2 degradation compared to free PROTAC and traditional HK2 inhibitors, achieving a 60% complete tumor regression rate in the 4T1 triple-negative breast cancer model.</p>
          <p>Choi <italic>et al.</italic> developed a light-triggered PROTAC nanoassembly (LPN) via self-assembly of an indoleamine 2,3-dioxygenase (IDO)-targeting PROTAC, CatB-sensitive peptide (KRR), and VPF. Under laser irradiation, VPF-produced ROS induce ICD. Endogenous CatB cleaves the peptide, releasing active PROTAC, which degrades IDO and reverses tryptophan metabolism-mediated immunosuppression. This dual-signal synergy achieved a 100% complete tumor regression rate in a CT26 colon cancer model, effectively preventing metastasis and recurrence<sup>[<xref ref-type="bibr" rid="B131">131</xref>]</sup>.</p>
          <p>Zhang <italic>et al.</italic> developed a semiconducting polymer-based nano-PROTAC system (SPNpro)<sup>[<xref ref-type="bibr" rid="B132">132</xref>]</sup>. This system contains a semiconducting polymer core linked to an IDO-targeting PROTAC fragment (IPP), comprising IDO inhibitor (NLG919) and an E3 ubiquitin ligase VHL-binding peptide via a CatB-sensitive peptide. SPNpro exhibits both phototherapy and enzyme-activated protein degradation functions. After passive tumor accumulation via EPR effect, SPNpro generates <sup>1</sup>O<sub>2</sub> under NIR irradiation. On one hand, this directly kills tumor cells and triggers ICD, releasing TAAs to activate DCs and effector T cells. On the other hand, tumor-expressed CatB cleaves the linker, releasing PROTAC to continuously degrade immunosuppressive IDO via the UPS. Blocking the conversion of tryptophan (Trp) to kynurenine (Kyn) alleviates immune suppression. Experiments showed effective inhibition of primary tumor growth and distant metastasis in the 4T1 breast cancer model, significant enhancement of T-cell infiltration, and no notable toxicity to major organs.</p>
        </sec>
        <sec id="sec4-2-2">
          <title>Combination of light and hypoxia signals</title>
          <p>The combination of exogenous laser-induced hypoxia and endogenous tumor hypoxia-responsive PROTAC creates a positive feedback loop to enhance protein degradation efficiency. Fu <italic>et al.</italic> developed a hypoxia-responsive PROTAC prodrug (AZO-PRO), linking BRD4-targeting PROTAC with the photosensitizer methylene blue (MB) through an azo bond<sup>[<xref ref-type="bibr" rid="B133">133</xref>]</sup>. Under exogenous irradiation (660 nm laser), MB-mediated PDT consumes oxygen in the tumor, increasing the hypoxic environment. Overexpressed azoreductases (e.g., NQO1) in this endogenous hypoxic environment subsequently cleave the azo bond, releasing active PROTAC and MB. Released PROTAC degrades BRD4, and MB further produces ROS to induce apoptosis, thus forming a “laser-enhanced hypoxia → hypoxia-activated PROTAC” positive feedback loop. This dual-signal synergy achieved superior BRD4 degradation compared to free PROTAC or hypoxia-only activated groups. In the MCF-7 tumor model, tumor growth was significantly suppressed, with tumor volume increasing only 1.51-fold, substantially lower than the 17.39-fold increase observed in the PBS control group.</p>
        </sec>
        <sec id="sec4-2-3">
          <title>Combination of light and pH signals</title>
          <p>This approach combines exogenous laser-induced photothermal/PDT and endogenous acidic TME responsive PROTAC release, enhancing protein degradation and immune activation simultaneously. Li <italic>et al.</italic> developed a nano-PROTAC (ARV@PEG-ICG) by loading BRD4-targeting PROTAC (ARV-825) into PEG-modified indocyanine green (PEG-ICG) via nanoprecipitation. ARV-825 serves as the BRD4 degrader, while PEG-ICG acts as a photosensitizer. Under exogenous irradiation (808 nm laser), PEG-ICG generates ROS and photothermal effects, inducing tumor apoptosis and ICD. Endogenous acidic conditions (pH 5.5) trigger carrier depolymerization, releasing ARV-825 to degrade BRD4 and enhance phototherapy by inhibiting inducible nitric oxide synthase (iNOS). This dual-signal synergy achieved an 85% tumor inhibition rate in the 4T1 tumor model and stimulated systemic immune responses to suppress distant tumor growth<sup>[<xref ref-type="bibr" rid="B134">134</xref>]</sup>.</p>
        </sec>
        <sec id="sec4-2-4">
          <title>Multi-signal combination of light, GSH, and pH</title>
          <p>This system integrates exogenous laser-triggered carrier disassembly with endogenous TME GSH and pH signal-responsive PROTAC activation. It addresses TME-mediated inhibitory effects on protein degradation and cuproptosis by consuming GSH and regulating metabolic reprogramming. Lu <italic>et al.</italic> developed a nano-platform (HSA@PPa-JQ1) by encapsulating a photodegradation-targeting chimera (PDTAC) molecule (PPa-JQ1) within human serum albumin (HSA) carriers. PPa-JQ1 consists of BRD4-targeting ligand JQ1-acid covalently linked to the photosensitizer pyropheophorbide-a (PPa) via a linker. Exogenous irradiation (660 nm laser) enables PPa to produce ROS, causing tumor cell apoptosis. Meanwhile, the endogenous high GSH concentration and acidic environment (pH 5.5) trigger carrier depolymerization, releasing PPa-JQ1. Released PPa-JQ1 specifically targets and binds BRD4 through JQ1-acid, mediating BRD4 degradation via ROS generation. The dual-signal synergy achieved a 90% BRD4 degradation rate in the B16 melanoma model, significantly suppressing tumor growth, prolonging mouse survival, and demonstrating excellent systemic biocompatibility<sup>[<xref ref-type="bibr" rid="B135">135</xref>]</sup>.</p>
        </sec>
        <sec id="sec4-2-5">
          <title>Combination of light and enzyme/hypoxia/pH signals</title>
          <p>A positive feedback loop, integrating exogenous laser-triggered ROS and endogenous signals (MMP-2, pH, and hypoxia), addresses TME heterogeneity. Gao <italic>et al.</italic> developed a nanoplatform (PGDAT@N) co-loading a ROS-responsive PROTAC prodrug (ARV771-TK) and a hypoxia-responsive PROTAC prodrug (ARV771-Nb). Under exogenous 671 nm laser irradiation, the photosensitizer PPa generates ROS, cleaving the thioketal (TK) linker to release ARV771, which degrades BRD4 in normoxic tumor regions. Endogenously, overexpressed MMP-2 cleaves the GPLGLAG heptapeptide linker on the nanoparticle surface, removing the PEG corona to enhance tumor penetration. The acidic TME (pH &lt; 6.2) protonates 2-(diisopropylamino)ethyl methacrylate (DPA) groups, causing nanoparticle dissociation and restoring PPa photoactivity. Concurrently, nitroreductase (NTR) overexpressed in hypoxic regions activates ARV771-Nb, degrading BRD4 in hypoxic cancer stem-like cells (CSCs). This multi-signal integration achieves comprehensive degradation of both normoxic and hypoxic tumor cells, effectively addressing tumor heterogeneity. In the MDA-MB-231 tumor model, the tumor inhibition rate reached 95%, with complete tumor regression in 5 of 6 mice<sup>[<xref ref-type="bibr" rid="B136">136</xref>]</sup>.</p>
        </sec>
        <sec id="sec4-2-6">
          <title>Combination of ultrasonic and ROS signals</title>
          <p>This approach integrates exogenous ultrasound-mediated deep tissue penetration with endogenous ROS activation to achieve targeted degradation in deep tumors. Liu <italic>et al.</italic> designed an ultrasound-ROS dual-responsive nanoparticle [NP<sub>(Ce6+PRO)</sub>] co-assembled from polyethylene glycol-b-polycaprolactone (PEG-b-PCL), sonosensitizer-conjugated polymer (Ce6-PCL), and ROS-responsive PROTAC conjugate (TK-PROTAC-PCL), loading a BRD4-targeted PROTAC precursor protected by a thioketal (TK) linker. Under exogenous ultrasound (1.0 MHz) irradiation of deep pancreatic tumors, nanoparticles dissociate locally. Ultrasound-induced ROS generation by Ce6 (endogenous signal) cleaves the TK linker, activating the PROTAC precursor. Ultrasound provides dual functions of deep-tissue penetration and local activation, overcoming traditional photoactivated PROTAC limitations. ROS ensures intracellular PROTAC activation specifically within tumors. Dual-signal synergy increased the PROTAC concentration in large pancreatic tumors by 3.09-fold compared to laser treatment alone, achieving a 68.5% BRD4 degradation rate and significantly inhibiting tumor growth<sup>[<xref ref-type="bibr" rid="B137">137</xref>]</sup>.</p>
        </sec>
        <sec id="sec4-2-7">
          <title>Combination of magnetic and pH signals</title>
          <p>Exogenous magnetic-field guidance combined with inflammation-specific targeting by M1 macrophage-derived exosome membranes enables selective nano-TPD accumulation in inflammatory regions associated with acute lung injury (ALI). Chen <italic>et al.</italic> constructed a nano-PROTAC (EMPLANT) using poly(lactic-co-glycolic acid) (PLGA) to encapsulate magnetic nanoparticles and TRIM24-targeted PROTAC (dTRIM24), coated with exosome membranes from M1 macrophages. An external magnetic field guides nano-TPD to pulmonary inflammatory regions in ALI mice. The endogenous acidic lysosomal environment (pH 5.0) triggers carrier release, liberating dTRIM24. Released dTRIM24 degrades TRIM24 via the UPS, upregulating STAT6 to promote macrophage polarization from M1 to M2 phenotype. The dual-signal synergy achieved a 90% TRIM24 degradation rate in lung tissues and increased mouse survival to nearly 100%<sup>[<xref ref-type="bibr" rid="B138">138</xref>]</sup>.</p>
          <p>In summary, multi-conditionally responsive nano-TPD systems represent a rational evolution of targeted protein degradation platforms, shifting the design paradigm from single-trigger activation toward sequential response or multiple stimulus response. By integrating endogenous pathological cues with complementary endogenous or exogenous signals, these systems strike a balance between biological specificity and external controllability. Such combinatorial activation strategies not only minimize unintended protein degradation but also provide a versatile framework for adapting nano-TPD platforms to diverse disease contexts and clinical constraints. As material engineering, stimulus delivery technologies, and PROTAC design continue to advance, multi-condition-responsive nano-TPD systems are expected to play a pivotal role in bridging the gap between mechanistic innovation and translational applicability.</p>
        </sec>
      </sec>
    </sec>
    <sec id="sec5">
      <title>PERFORMANCE COMPARISON AND KEY CHALLENGES</title>
      <sec id="sec5-1">
        <title>Performance comparison</title>
        <p>Different nano-TPD systems vary substantially in core performance metrics, nano-TPD platforms should be benchmarked as a multi-objective trade-off<sup>[<xref ref-type="bibr" rid="B139">139</xref>]</sup>. In endogenous initiation, activation is “device-free” and typically shows favorable biocompatibility, yet the activation threshold, kinetics, and effective dose are tightly coupled to the spatially heterogeneous TME, which can yield patient-to-patient variability and incomplete degradation in poorly perfused or “cold” lesions. This dependence also complicates cross-study comparability because the same formulation may behave differently across models with distinct microenvironmental distributions<sup>[<xref ref-type="bibr" rid="B16">16</xref>]</sup>.</p>
        <p>In contrast, exogenous initiation decouples activation from TME variability by using externally applied signals that provide remote timing control and high spatiotemporal precision, thereby narrowing systemic exposure windows and potentially reducing off-target toxicity. However, these gains introduce new boundary conditions: tissue penetration depth and focal volume (notably for light), dependence on specialized equipment/clinical workflow, and the possibility of collateral activation when the stimulus field cannot be perfectly confined<sup>[<xref ref-type="bibr" rid="B140">140</xref>-<xref ref-type="bibr" rid="B142">142</xref>]</sup>.</p>
        <p>Multi-condition initiation partially reconciles the above by implementing logic-gated degradation (AND/sequential gating): endogenous cues act as a biological “permission” signal, while an exogenous input provides temporal/spatial “authorization”. Such architectures can enlarge the safety margin for targets with narrow therapeutic windows by requiring multiple conditions before degradation occurs. Nevertheless, adding triggers and functional modules typically increases synthetic complexity, quality control burden, and batch-to-batch reproducibility risk, which may dominate translational feasibility<sup>[<xref ref-type="bibr" rid="B136">136</xref>]</sup>.</p>
        <p>Finally, self-assembled nano-TPD systems reshape the performance profile by offering high apparent loading/modularity and improved intracellular delivery; yet their supramolecular heterogeneity, <italic>in vivo</italic> remodeling, and stimulus-independent leakage can confound mechanistic attribution. Therefore, future benchmarking should report not only tumor inhibition but also quantitative degradation kinetics (extent, onset, duration, reversibility) under clinically relevant conditions, alongside manufacturability and stability metrics<sup>[<xref ref-type="bibr" rid="B143">143</xref>]</sup> [<xref ref-type="table" rid="t3">Table 3</xref>].</p>
        <table-wrap id="t3">
          <label>Table 3</label>
          <caption>
            <p>Performance comparison of different types of conditionally starting nano-targeted degradation systems</p>
          </caption>
          <table frame="hsides" rules="groups">
            <thead>
              <tr>
                <td style="border-bottom:1;">
                  <bold>Activation type</bold>
                </td>
                <td style="border-bottom:1;">
                  <bold>Endogenous</bold>
                </td>
                <td style="border-bottom:1;">
                  <bold>Self-assembled endogenous</bold>
                </td>
                <td style="border-bottom:1;">
                  <bold>Exogenous</bold>
                </td>
                <td style="border-bottom:1;">
                  <bold>Self-assembled exogenous</bold>
                </td>
                <td style="border-bottom:1;">
                  <bold>Dual endogenous signal combined</bold> </td>
                <td style="border-bottom:1;">
                  <bold>Endogenous &amp; exogenous signal combined</bold>
                </td>
              </tr>
            </thead>
            <tbody>
              <tr>
                <td>Targeting precision</td>
                <td>Medium/high</td>
                <td>Medium/high</td>
                <td>High/very high</td>
                <td>High/very high</td>
                <td>Very high</td>
                <td>Very high</td>
              </tr>
              <tr>
                <td>Response rate</td>
                <td>Tens of minutes to hours</td>
                <td>Tens of minutes to hours</td>
                <td>Seconds to minutes</td>
                <td>Seconds to minutes</td>
                <td>Hours</td>
                <td>Slow enrichment,<break />fast unlocking</td>
              </tr>
              <tr>
                <td>Drug loading</td>
                <td>Medium</td>
                <td>High</td>
                <td>Medium</td>
                <td>High</td>
                <td>Medium</td>
                <td>Medium/high</td>
              </tr>
              <tr>
                <td>Synthetic complexity</td>
                <td>Low/medium</td>
                <td>Medium</td>
                <td>Medium</td>
                <td>Medium/high</td>
                <td>High</td>
                <td>Very high</td>
              </tr>
              <tr>
                <td>Tissue penetration depth</td>
                <td>Inapplicability</td>
                <td>Inapplicability</td>
                <td>Signal limitation</td>
                <td>Signal limitation</td>
                <td>Inapplicability</td>
                <td>Exogenous signal-dependent</td>
              </tr>
              <tr>
                <td>External device requirement</td>
                <td>No</td>
                <td>No</td>
                <td>Yes</td>
                <td>Yes</td>
                <td>No</td>
                <td>Yes</td>
              </tr>
              <tr>
                <td>Estimated cost</td>
                <td>Low</td>
                <td>Medium</td>
                <td>Medium/high</td>
                <td>Medium/high</td>
                <td>Medium</td>
                <td>High</td>
              </tr>
              <tr>
                <td>Biocompatibility</td>
                <td>Excellent</td>
                <td>Excellent</td>
                <td>Good/excellent</td>
                <td>Good/excellent</td>
                <td>Excellent</td>
                <td>Good/excellent</td>
              </tr>
              <tr>
                <td>Spatiotemporal controllability</td>
                <td>Relying on microenvironment</td>
                <td>Relying on microenvironment</td>
                <td>Controllable by external signals</td>
                <td>Controllable by external signals</td>
                <td>Dependent on multiple microenvironmental signals</td>
                <td>Two-level regulation</td>
              </tr>
              <tr>
                <td>Application scenarios</td>
                <td>Solid tumors with significant microenvironment abnormalities, chronic inflammation</td>
                <td>Tumors requiring long-term administration, autoimmune diseases</td>
                <td>Superficial &amp; focusable lesions, postoperative residual tumors</td>
                <td>High-precision treatment scenarios, multi-lesion synergistic therapy</td>
                <td>Complex tumors with multiple microenvironment abnormalities</td>
                <td>Central nervous system disease, critical organ disease</td>
              </tr>
            </tbody>
          </table>
        </table-wrap>
      </sec>
      <sec id="sec5-2">
        <title>Key challenges</title>
        <p>Although nano-TPD systems have made considerable progress in basic research, several significant challenges remain for clinical translation<sup>[<xref ref-type="bibr" rid="B144">144</xref>]</sup>. These include balancing microenvironmental heterogeneity with individualized matching, ensuring equilibrium between carrier stability and response sensitivity, overcoming barriers in industrial-scale synthesis and quality control, and addressing issues related to pathway coordination and safety evaluation. Carrier fate (ADME), long-term toxicity, immunogenicity, and combination-product regulatory pathways should be explicitly addressed to strengthen the translational argument<sup>[<xref ref-type="bibr" rid="B143">143</xref>-<xref ref-type="bibr" rid="B146">146</xref>]</sup>.</p>
        <p>A major challenge for endogenous activation systems is microenvironmental heterogeneity, which complicates personalized matching. Microenvironment parameters (e.g., pH, enzyme activity, ROS levels, GSH concentration) differ substantially among patients, disease stages, and within lesions themselves. Designing a universal response threshold based on “average characteristics” to ensure efficacy and safety across cases is difficult<sup>[<xref ref-type="bibr" rid="B147">147</xref>]</sup>. Even in combined activation systems, precisely aligning patient-specific microenvironment features with exogenous stimuli remains challenging. Current methods for personalized assessment and customized design remain inadequate, highlighting the urgent need for precise, individualized treatment strategies to enhance therapeutic targeting and effectiveness<sup>[<xref ref-type="bibr" rid="B148">148</xref>]</sup>. Notably, in clinically approved nanomedicines, improving circulation alone does not guarantee improved tissue accessibility; rather, human - animal mismatches in distribution/clearance and tissue “gatekeeping” frequently dominate outcomes<sup>[<xref ref-type="bibr" rid="B149">149</xref>]</sup>. Therefore, nano-TPD designs that rely on microenvironment triggers should be coupled with biomarker-based stratification and Pharmacokinetics/Pharmacodynamics (PK/PD)-linked activation modeling to avoid under-activation (loss of efficacy) and over-activation (off-target toxicity) in heterogeneous clinical populations.</p>
        <p>Balancing carrier stability with response sensitivity also represents a critical research challenge. Nano-TPD systems must maintain stability during systemic circulation yet rapidly respond at target sites. In self-assembled systems, factors such as plasma protein adsorption and blood shear forces can destabilize carriers, causing premature drug release or structural changes. In exogenously responsive systems, enhanced sensitivity can improve therapeutic outcomes but may compromise circulation stability<sup>[<xref ref-type="bibr" rid="B150">150</xref>-<xref ref-type="bibr" rid="B152">152</xref>]</sup>. Conversely, prioritizing stability may reduce response speed. Thus, identifying an optimal balance between these two aspects remains essential<sup>[<xref ref-type="bibr" rid="B153">153</xref>]</sup>. This balance should be evaluated within a full ADME framework - where the key questions are “Where does the carrier go? How long does it persist? How does it transform <italic>in vivo</italic>? How is it cleared?” A Nature Reviews Bioengineering review emphasizes that controlling blood circulation, biodistribution, tissue accessibility, and clearance is central to nanomedicine translation<sup>[<xref ref-type="bibr" rid="B149">149</xref>]</sup>. For nano-TPD, such ADME uncertainty directly affects degrader exposure, intracellular delivery, and ultimately degradation kinetics, making it insufficient to report only <italic>in vitro</italic> responsiveness or short-term tumor accumulation.</p>
        <p>Safety concerns, such as long-term residues from inorganic nanocarriers and immunogenicity of orthogonal enzymes, lack comprehensive long-term toxicology data, undermining assurances of biosafety<sup>[<xref ref-type="bibr" rid="B154">154</xref>-<xref ref-type="bibr" rid="B156">156</xref>]</sup>. Clinically approved liposomal products (e.g., Doxil) demonstrate that nanomedicines can be successful, but also highlight that release testing, stability, and bioequivalence-sensitive quality attributes can be rate-limiting for regulatory review and lifecycle management<sup>[<xref ref-type="bibr" rid="B157">157</xref>]</sup>. FDA has specifically developed science and guidance around nanomaterial-containing products and liposome drug products, reflecting the regulatory focus on Chemistry, Manufacturing, and Controls (CMC), human PK/Bioequivalence (BE), labeling, and <italic>in vitro</italic> release testing for complex nanosystems<sup>[<xref ref-type="bibr" rid="B158">158</xref>]</sup>. Immunologically, PEGylated nanocarriers can trigger anti-PEG antibodies, leading to the accelerated blood clearance (ABC) phenomenon upon repeat dosing, reducing efficacy and altering safety<sup>[<xref ref-type="bibr" rid="B159">159</xref>]</sup>. In addition, liposomes and other nanoparticles may cause complement activation-related pseudoallergy (CARPA), an unpredictable hypersensitivity risk that has been discussed for decades and remains clinically relevant for reactogenic nanocarriers<sup>[<xref ref-type="bibr" rid="B160">160</xref>,<xref ref-type="bibr" rid="B161">161</xref>]</sup>. These well-documented phenomena imply that nano-TPD platforms - especially those intended for repeated administration - should incorporate immunotoxicity endpoints (complement activation, cytokine release, anti-carrier antibodies, ABC risk) early in development rather than treating them as late-stage toxicology add-ons<sup>[<xref ref-type="bibr" rid="B162">162</xref>]</sup>.</p>
        <p>For TPD itself, safety is not only material-driven: off-target degradation and system-level consequences of degrading proteins require proteomics-enabled selectivity/safety profiling to reduce unintended toxicity<sup>[<xref ref-type="bibr" rid="B163">163</xref>]</sup>. Thus, long-term biosafety packages should integrate both carrier-centric (retention/accumulation, chronic inflammation/fibrosis) and mechanism-centric (degradome/off-target) assessments.</p>
        <p>Industrialization barriers in synthesis and quality control significantly hinder the clinical application of nano-TPD systems. Self-assembled and co-activated systems typically integrate multiple functional components (e.g., sensitive linkers, targeting ligands, responsive modules, TPD loading sites), resulting in complex structures, lengthy synthesis routes, difficulty in intermediate purification, and poor reproducibility between batches. During large-scale production, these complexities not only increase synthesis difficulties but also complicate establishing reliable quality control standards<sup>[<xref ref-type="bibr" rid="B164">164</xref>]</sup>. Furthermore, accurately characterizing nano-TPD behavior <italic>in vivo</italic> requires simultaneous monitoring of multiple processes, including carrier distribution, structural changes, TPD release, and target protein degradation. Current characterization methods lack real-time, <italic>in situ</italic> evaluation capabilities, limiting clinical applicability<sup>[<xref ref-type="bibr" rid="B165">165</xref>]</sup>. Regulators expect sponsors to define critical quality attributes (CQAs) and link them to performance. FDA guidance on drug products containing nanomaterials outlines development expectations, while liposome-specific guidance highlights CMC and human PK considerations; FDA’s continued work on nano-size complex product <italic>in vitro</italic> release testing underscores how release/transformations become pivotal for complex nanoformulations. Therefore, nano-TPD manufacturing should move toward QbD-driven process control, orthogonal characterization (size distribution, morphology, surface chemistry/ligand density, encapsulation <italic>vs</italic>. free drug, stability, release/activation kinetics), and clinically relevant comparability plans<sup>[<xref ref-type="bibr" rid="B166">166</xref>]</sup>.</p>
        <p>Finally, coordinating treatment pathways and ensuring safety in clinical translation are critical. Exogenous and co-activated systems typically require specialized equipment and professional operation, complicating therapy coordination<sup>[<xref ref-type="bibr" rid="B167">167</xref>,<xref ref-type="bibr" rid="B168">168</xref>]</sup>. Dosing schedules, pre-activation windows, and external stimulus parameters increase operational complexity and patient compliance challenges<sup>[<xref ref-type="bibr" rid="B167">167</xref>]</sup>. Regulatory evaluation criteria for “nanomedicine + external device” co-activation models remain incomplete, delaying clinical translation. FDA defines “combination products” (drug/device, biologic/device, <italic>etc.</italic>) and provides cGMP and premarket pathway principles for such products, underscoring that integrated drug - device development must address not only pharmacology but also device controls, quality systems, and review coordination<sup>[<xref ref-type="bibr" rid="B169">169</xref>]</sup>. Hence, nano-TPD co-activation platforms should pre-emptively plan for combination-product requirements: standardized stimulus parameters, operator-independent workflows, device validation, and integrated risk management.</p>
        <p>Overall, advancing nano-TPD systems clinically requires technological breakthroughs, rigorous safety assessments, scalable manufacturing with defined CQAs, and standardized clinical/regulatory protocols to ensure feasibility and safety<sup>[<xref ref-type="bibr" rid="B170">170</xref>,<xref ref-type="bibr" rid="B171">171</xref>]</sup>.</p>
      </sec>
    </sec>
    <sec id="sec6">
      <title>PROSPECTS</title>
      <p>Performance comparisons show that different systems prioritize varying factors, such as targeting precision, response rates, or drug-loading ratios, necessitating tailored designs based on specific clinical indications. Importantly, future development of nano-TPD systems should move beyond conceptual optimization toward clinically translatable design principles<sup>[<xref ref-type="bibr" rid="B172">172</xref>]</sup>. Based on the performance analysis and key challenges discussed above, translation success will likely depend on three coordinated dimensions: patient stratification and biomarker-guided activation, predictable <italic>in vivo</italic> fate and safety profiling, and manufacturability under defined regulatory frameworks.</p>
      <p>Future research should emphasize personalized treatment strategies and technological optimization to advance nano-TPD applications in precision medicine<sup>[<xref ref-type="bibr" rid="B173">173</xref>]</sup>. Individualized design strategies will become critical, especially through integrating actual microenvironment parameters from patient lesions, enabling customized nano-TPD systems<sup>[<xref ref-type="bibr" rid="B174">174</xref>]</sup>. Accurately understanding patient-specific tumor or lesion characteristics will support developing personalized nanosystems that match biomarkers and therapeutic needs, significantly enhancing targeting accuracy and treatment efficacy<sup>[<xref ref-type="bibr" rid="B175">175</xref>,<xref ref-type="bibr" rid="B176">176</xref>]</sup>. Building on this foundation, to further boost translational feasibility, a more clinically actionable strategy can prioritize biomarker-defined patient subgroups and establish PK/PD-linked activation windows - ensuring that the responsiveness of nano-TPD systems aligns with quantifiable clinical parameters. This approach is expected to mitigate heterogeneity-induced variability and improve the reproducibility of therapeutic outcomes across diverse patient populations<sup>[<xref ref-type="bibr" rid="B149">149</xref>]</sup>.</p>
      <p>Additionally, increasing complexity in disease diagnosis and treatment emphasizes the need to optimize intelligent response mechanisms. Future studies should focus on advanced logic-gate response systems (e.g., “AND/OR/NOT” composite logic) that intelligently trigger responses based on multiple lesion features, substantially enhancing lesion identification and therapeutic responsiveness. These intelligent systems can rapidly respond to dynamic lesion changes, achieving efficient protein degradation and disease control<sup>[<xref ref-type="bibr" rid="B177">177</xref>-<xref ref-type="bibr" rid="B179">179</xref>]</sup>. Of course,system complexity must be balanced with manufacturability and regulatory feasibility. Overengineered logic-gate systems may face significant scale-up, quality control, and comparability challenges under current regulatory frameworks for nanomaterials and combination products. Thus, future intelligent designs should integrate QbD principles from early-stage development to ensure defined CQAs and scalable production pathways.</p>
      <p>In technological advancements, innovations in multimodal characterization techniques will become essential<sup>[<xref ref-type="bibr" rid="B180">180</xref>]</sup>. Developing multimodal imaging technologies capable of real-time, <italic>in situ</italic> tracking of nano-TPD assembly, activation, and degradation processes will allow dynamic evaluation of key therapeutic steps and drug targeting efficiency<sup>[<xref ref-type="bibr" rid="B181">181</xref>-<xref ref-type="bibr" rid="B183">183</xref>]</sup>. More importantly, clinical translation requires standardized ADME and immunogenicity evaluation frameworks. Lessons from approved liposomal drugs and PEGylated nanoparticles indicate that ABC, CARPA, and long-term organ accumulation must be systematically assessed, particularly for repeated dosing regimens<sup>[<xref ref-type="bibr" rid="B158">158</xref>,<xref ref-type="bibr" rid="B159">159</xref>]</sup>.</p>
      <p>Furthermore, enhancing biosafety remains central. Researchers should develop fully biodegradable, low-immunogenicity nanocarriers and conduct comprehensive long-term safety evaluations<sup>[<xref ref-type="bibr" rid="B184">184</xref>]</sup>. Addressing potential risks associated with nanocarrier accumulation will ensure sustainable clinical use, particularly vital for patient safety during prolonged treatment<sup>[<xref ref-type="bibr" rid="B185">185</xref>]</sup>. Accelerating clinical translation requires simplifying system design and manufacturing, establishing standardized quality control methods, and developing effective clinical trial pathways<sup>[<xref ref-type="bibr" rid="B186">186</xref>]</sup>.In this context, early integration of regulatory science - such as defining CQAs, implementing <italic>in vitro</italic> release testing (IVRT) strategies, and preparing for potential drug - device combination product classification - may substantially shorten development timelines.</p>
      <p>Integrating artificial intelligence, particularly for data processing, predictive modeling, and real-time monitoring, will greatly enhance system intelligence and precision<sup>[<xref ref-type="bibr" rid="B187">187</xref>,<xref ref-type="bibr" rid="B188">188</xref>]</sup>. Artificial intelligence technology can optimize therapeutic regimens, predict drug responses, and adjust therapies in real time, accelerating clinical translation while improving therapeutic outcomes and safety<sup>[<xref ref-type="bibr" rid="B189">189</xref>-<xref ref-type="bibr" rid="B191">191</xref>]</sup>.</p>
      <p>Ultimately, the future of nano-TPD may not lie in maximal structural complexity, but in achieving a clinically predictable balance between targeting precision, safety margin, manufacturability, and regulatory clarity. Bridging mechanistic innovation with translational discipline will be the decisive step in transforming nano-TPD from a promising research platform into a viable therapeutic modality for malignancies and other refractory diseases.</p>
    </sec>
    <sec id="sec7">
      <title>CONCLUSIONS</title>
      <p>This review systematically summarizes the design principles and activation strategies of nano-TPD by classifying them according to their activation triggers. By integrating nanotechnology with TPD approaches, nano-TPD systems offer diverse strategies to overcome the delivery limitations of conventional TPD technologies. Based on their activation mechanisms, nano-TPD platforms can be broadly categorized into endogenous activation, exogenous activation, and combined activation systems, each providing distinct advantages in targeting capability, spatiotemporal control, or drug-loading efficiency. However, these systems also face specific challenges, including microenvironment heterogeneity, reliance on external devices, stability issues, and design complexity, indicating that activation strategies must be rationally selected according to clinical application requirements.</p>
      <p>Future development of nano-TPD technology should prioritize clinical translation, with focused efforts on personalized design, intelligent responsiveness, technological innovation, and safety and regulatory compliance, to enable the transition from a research concept to a viable therapeutic modality.</p>
    </sec>
  </body>
  <back>
    <sec>
      <title>DECLARATIONS</title>
      <sec>
        <title>Acknowledgments</title>
        <p>The authors sincerely thank the FigDraw platform for providing drawing support for this article.</p>
      </sec>
      <sec>
        <title>Authors’ contributions</title>
        <p>Conceptualization, methodology and writing of the draft: Liu, Z.; Zhang, G.</p>
        <p>Validation: Yan, S.; Xiao, J.; Cao, Z.; Guo, X.; Liao, G.; Peng, R.; Liu, X.; Tan, Z.; Xie, Q.; Luo, W.</p>
        <p>Supervision and funding acquisition: Xiao, X.; Qin, S.</p>
      </sec>
      <sec>
        <title>Availability of data and materials</title>
        <p>Not applicable.</p>
      </sec>
      <sec>
        <title>AI and AI-assisted tools statement</title>
        <p>Not applicable.</p>
      </sec>
      <sec>
        <title>Financial support and sponsorship</title>
        <p>This work was supported by the Hunan Science Fund for Distinguished Young Scholars (No. 2025JJ20098); the National Natural Science Foundation of China (No. 82204250); High-level Talent Research Initiation Fund Project of Hunan University of Chinese Medicine (No. 0004010, 0003003002); the National Natural Science Foundation of China (No.82503028).</p>
      </sec>
      <sec>
        <title>Conflicts of interest</title>
        <p>All authors declared that there are no conflicts of interest.</p>
      </sec>
      <sec>
        <title>Ethical approval and consent to participate</title>
        <p>Not applicable.</p>
      </sec>
      <sec>
        <title>Consent for publication</title>
        <p>Not applicable.</p>
      </sec>
      <sec>
        <title>Copyright</title>
        <p>© The Author(s) 2026.</p>
      </sec>
    </sec>
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