代谢组
炎症性肠病
瘤胃球菌
微生物群
粪便
肠道菌群
生物
代谢组学
代谢物
溃疡性结肠炎
毛螺菌科
疾病
内科学
生理学
医学
免疫学
微生物学
厚壁菌
生物信息学
遗传学
细菌
内分泌学
16S核糖体RNA
作者
Arnau Vich Vila,Shixian Hu,Sergio Andreu‐Sánchez,Valerie Collij,Bernadien H. Jansen,Hannah E. Augustijn,Laura A. Bolte,Renate A A A Ruigrok,Galeb Abu-Ali,Cosmas Giallourakis,J. Schneider,John Parkinson,Amal Al-Garawi,Alexandra Zhernakova,Ranko Gaćeša,Jingyuan Fu,Rinse K. Weersma
出处
期刊:Gut
[BMJ]
日期:2023-03-23
卷期号:72 (8): 1472-1485
被引量:26
标识
DOI:10.1136/gutjnl-2022-328048
摘要
Inflammatory bowel disease (IBD) is a multifactorial immune-mediated inflammatory disease of the intestine, comprising Crohn's disease and ulcerative colitis. By characterising metabolites in faeces, combined with faecal metagenomics, host genetics and clinical characteristics, we aimed to unravel metabolic alterations in IBD.We measured 1684 different faecal metabolites and 8 short-chain and branched-chain fatty acids in stool samples of 424 patients with IBD and 255 non-IBD controls. Regression analyses were used to compare concentrations of metabolites between cases and controls and determine the relationship between metabolites and each participant's lifestyle, clinical characteristics and gut microbiota composition. Moreover, genome-wide association analysis was conducted on faecal metabolite levels.We identified over 300 molecules that were differentially abundant in the faeces of patients with IBD. The ratio between a sphingolipid and L-urobilin could discriminate between IBD and non-IBD samples (AUC=0.85). We found changes in the bile acid pool in patients with dysbiotic microbial communities and a strong association between faecal metabolome and gut microbiota. For example, the abundance of Ruminococcus gnavus was positively associated with tryptamine levels. In addition, we found 158 associations between metabolites and dietary patterns, and polymorphisms near NAT2 strongly associated with coffee metabolism.In this large-scale analysis, we identified alterations in the metabolome of patients with IBD that are independent of commonly overlooked confounders such as diet and surgical history. Considering the influence of the microbiome on faecal metabolites, our results pave the way for future interventions targeting intestinal inflammation.
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