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Ladeira et al. Microbiome Res Rep 2023;2:9  https://dx.doi.org/10.20517/mrr.2023.01  Page 5 of 15

               Table 1. Datasets used in the study
                                                                                  No antibiotic intake
                                       All individuals   No antibiotic intake
                                                                                  and adults only
                Characteristic         N= 9.515          N= 5.728                 N= 4.921
                Antibiotic intake      216 (3.6%)
                  Unknown              3.571
                  No                                     5.728 (100%)             4.921 (100%)
                Health status
                  Control              7.016 (79%)       4.876 (85%)              4.348 (88%)
                  Adenoma              153 (1.7%)        39 (0.7%)                29 (0.6%)
                  Colorectal           439 (4.9%)        110 (1.9%)               74 (1.5%)
                  Metabolic            656 (7.4%)        495 (8.6%)               320 (6.5%)
                  Bowel                535 (6.0%)        99 (1.7%)                45 (0.9%)
                  Arthritis            94 (1.1%)         89 (1.6%)                85 (1.7%)
                Behçet’s disease (BD)  20 (0.2%)         20 (0.3%)                20 (0.4%)
                  Unknown              602
                Age category
                  Newborn              278 (2.9%)        137 (2.4%)
                  Child                322 (3.4%)        160 (2.8%)
                  School-age           135 (1.4%)        88 (1.5%)
                  Adult                7.745 (81%)       4.921 (86%)              4.921 (100%)
                  Senior               1,035 (11%)       422 (7.4%)
                Westernized lifestyle  8.701 (91%)       5.577 (97%)              4.774 (97%)
                n (%)



               Given the multiple differences in analytical procedures between the studies included in the cMD, we first
               investigated whether our analysis of the cMD database could reproduce published findings for
               Bifidobacterium in humans, such as differences according to age, lifestyle, antibiotic use, and health status.


               We found that subjects with a westernized lifestyle had higher relative abundances of Bifidobacterium
               (Mann-Whitney, P < 0.001) [Supplementary Figure 2] and a higher prevalence of B. animalis and B. longum
               [Supplementary Figure 3]. The gut microbiome of newborns was more enriched in Bifidobacterium (median
               of 7.76 %, IQR 0.48%-41.3%) than that of the other age categories (median 2%, IQR 0.01%-9.8%) (Kruskal
               Wallis, P < 0.001) [Supplementary Figure 2], with a higher prevalence of B. breve in children under the age
               of three years (50%), decreasing to < 10% thereafter. B. adolescentis was more prevalent in adults (71%) than
               in younger subjects (35%-50%) and seniors (60%). By contrast, B. longum was highly prevalent at all ages (>
               80%) [Supplementary Figure 3]. The relative abundance of Bifidobacterium was significantly lower in most
               of the disease groups, especially Bowel (IBD) (median 0.03%, IQR 0%-0.2%) than in healthy individuals
               (median 3.4%, IQR 0.6%-10.7%) (Kruskal Wallis, P < 0.001) [Supplementary Figure 2]. In particular, B.
               adolescentis was more prevalent in healthy individuals (70%) than in those with the disease, particularly for
               IBD and metabolic diseases (40%-50%), whereas the opposite pattern was found for B. dentium
               [Supplementary Figure 3]. Finally, the relative abundance of Bifidobacterium was lower in subjects with
               recent antibiotic intake (Mann-Whitney, P < 0.001) [Supplementary Figure 2]. Despite the considerable
               analytical differences between studies, this dataset reproduced the major associations previously reported
               between Bifidobacterium and age , lifestyle , health status [1,29,30] , and antibiotic use [31-33]  in individual
                                                       [28]
                                             [27]
               cohorts.
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