Department of Genetics, University Medical Centre, Groningen, The Netherlands
Department of Pediatrics, University Medical Centre, Groningen, The Netherlands.
Gut. 2023 Aug;72(8):1472-1485. doi: 10.1136/gutjnl-2022-328048. Epub 2023 Mar 23.
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 was positively associated with tryptamine levels. In addition, we found 158 associations between metabolites and dietary patterns, and polymorphisms near 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.
炎症性肠病(IBD)是一种多因素免疫介导的肠道炎症性疾病,包括克罗恩病和溃疡性结肠炎。通过对粪便中的代谢物进行特征分析,结合粪便宏基因组学、宿主遗传学和临床特征,我们旨在揭示 IBD 中的代谢改变。
我们测量了 424 例 IBD 患者和 255 例非 IBD 对照者粪便样本中的 1684 种不同的粪便代谢物和 8 种短链和支链脂肪酸。回归分析用于比较病例和对照者之间代谢物的浓度,并确定代谢物与每个参与者的生活方式、临床特征和肠道微生物群落组成之间的关系。此外,还对粪便代谢物水平进行了全基因组关联分析。
我们确定了 300 多种在 IBD 患者粪便中丰度不同的分子。鞘脂和 L-尿胆素的比值可以区分 IBD 和非 IBD 样本(AUC=0.85)。我们发现,在微生物群落失调的患者中胆汁酸池发生了变化,粪便代谢组与肠道微生物群之间存在很强的关联。例如,的丰度与色胺水平呈正相关。此外,我们发现代谢物与饮食模式之间存在 158 种关联,并且附近的多态性与咖啡代谢密切相关。
在这项大规模分析中,我们确定了 IBD 患者代谢组的改变,这些改变独立于饮食和手术史等常见的混杂因素。考虑到微生物群对粪便代谢物的影响,我们的结果为未来针对肠道炎症的干预措施铺平了道路。