Noninvasive, microbiome-based diagnosis of inflammatory bowel disease.
Journal
Nature medicine
Journal Volume
30
Journal Issue
12
Pages
3555 - 3567
ISSN
1546-170X
Date Issued
2024-12
Author(s)
Zheng, Jiaying
Sun, Qianru
Zhang, Mengjing
Liu, Chengyu
Su, Qi
Zhang, Lin
Xu, Zhilu
Lu, Wenqi
Ching, Jessica
Tang, Whitney
Cheung, Chun Pan
Hamilton, Amy L
Wilson O'Brien, Amy L
Bernstein, Charles N
Rubin, David T
Chang, Eugene B
Morrison, Mark
Kamm, Michael A
Chan, Francis K L
Zhang, Jingwan
Ng, Siew C
Abstract
Despite recent progress in our understanding of the association between the gut microbiome and inflammatory bowel disease (IBD), the role of microbiome biomarkers in IBD diagnosis remains underexplored. Here we developed a microbiome-based diagnostic test for IBD. By utilization of metagenomic data from 5,979 fecal samples with and without IBD from different geographies and ethnicities, we identified microbiota alterations in IBD and selected ten and nine bacterial species for construction of diagnostic models for ulcerative colitis and Crohn's disease, respectively. These diagnostic models achieved areas under the curve >0.90 for distinguishing IBD from controls in the discovery cohort, and maintained satisfactory performance in transethnic validation cohorts from eight populations. We further developed a multiplex droplet digital polymerase chain reaction test targeting selected IBD-associated bacterial species, and models based on this test showed numerically higher performance than fecal calprotectin in discriminating ulcerative colitis and Crohn's disease from controls. Here we discovered universal IBD-associated bacteria and show the potential applicability of a multibacteria biomarker panel as a noninvasive tool for IBD diagnosis.
Type
journal article