The Gut Microbiome at the Onset of Inflammatory Bowel Disease: A Systematic Review and Unified Bioinformatic...

Few studies describe gut microbiome signatures in treatment-naïve new-onset inflammatory bowel disease (IBD). We present a novel secondary bioinformatic reanalysis of sequence outputs mapped to the latest microbial taxonomy.

MEDLINE and Embase searches were performed for microbiome studies in treatment-naïve IBD. Appraisal was completed with Risk Of Bias In Non-randomized Studies - of Exposures (ROBINS-E). Available 16S ribosomal RNA sequence data sets were downloaded and missing data sets requested. Integrated data were run through a unified QIIME2 bioinformatics pipeline. Multivariable models adjusting for methodologic differences were developed using MaAsLin2.

There were 36 eligible studies; 18 contributed to bioinformatic reanalysis and 24 to supplementary meta-analysis. Samples from 1743 patients were included, comprising 678 from individuals with Crohn's disease (CD), 399 with ulcerative colitis (UC), 130 healthy controls (HCs), and 405 symptomatic controls (SCs); 990 of which were biopsy samples. Alpha diversity was reduced: feces-pediatric UC vs SCs, adult CD and UC vs HCs, and pediatric SCs vs HCs; pediatric biopsy samples-CD vs SCs, CD vs UC, and UC vs SCs. Beta diversity demonstrated clear distinctions between fecal and mucosal biopsy communities, least evident in UC, in addition to community separation by geography. Multivariate modeling revealed depletion of anaerobic and enrichment of aerobic and facultative anaerobic bacteria, alongside enrichment of oral genera across both CD and UC.

Core microbial perturbations at onset of CD and UC are depletion of anaerobes and enrichment of oxygen-tolerant, orally associated bacteria. As we place greater emphasis on early diagnosis and prediction of IBD risk, this finding may support innovative diagnostic approaches. Microbiome-targeted intervention and alteration of luminal oxygen availability may offer novel therapeutic avenues for new-onset patients and identified high-risk groups.