Lifecourse Epidemiology of Adiposity and Diabetes (LEAD) Center, University of Colorado Anschutz Medical Campus, Aurora, Colorado, USA.
Department of Epidemiology, University of Colorado Anschutz Medical Campus, Aurora, Colorado, USA.
BMJ Open Gastroenterol. 2024 Aug 29;11(1):e001470. doi: 10.1136/bmjgast-2024-001470.
Gut microbes and microbe-dependent metabolites (eg, tryptophan-kynurenine-serotonin pathway metabolites) have been linked to systemic inflammation, but the microbiota-metabolite-inflammation axis remains uncharacterised in children. Here we investigated whether gut microbiota features and circulating metabolites (both microbe-dependent and non-microbe-dependent metabolites) associated with circulating inflammation markers in children.
We studied children from the prospective Gen3G birth cohort who had data on untargeted plasma metabolome (n=321 children; Metabolon platform), gut microbiota (n=147; 16S rRNA sequencing), and inflammation markers (plasminogen activator inhibitor-1 (PAI-1), monocyte chemoattractant protein-1, and tumour necrosis factor-α) measured at 5-7 years. We examined associations of microbial taxa and metabolites-examining microbe-dependent and non-microbe-dependent metabolites separately-with each inflammatory marker and with an overall inflammation score (InfSc), adjusting for key confounders and correcting for multiple comparisons. We also compared the proportion of significantly associated microbe-dependent versus non-microbe-dependent metabolites, identified a priori (Human Microbial Metabolome Database), with each inflammation marker.
Of 335 taxa tested, 149 were associated (q<0.05) with at least one inflammatory marker; 10 of these were robust to pseudocount choice. Several bacterial taxa involved in tryptophan metabolism were associated with inflammation, including kynurenine-degrading , which was inversely associated with all inflammation markers. Of 1037 metabolites tested, 315 were previously identified as microbe dependent and were more frequently associated with PAI-1 and the InfSc than non-microbe dependent metabolites. In total, 87 metabolites were associated (q<0.05) with at least one inflammation marker, including kynurenine (positively), serotonin (positively), and tryptophan (inversely).
A distinct set of gut microbes and microbe-dependent metabolites, including those involved in the tryptophan-kynurenine-serotonin pathway, may be implicated in inflammatory pathways in childhood.
肠道微生物群和微生物依赖的代谢物(例如,色氨酸-犬尿氨酸-血清素途径代谢物)与全身炎症有关,但儿童的微生物群-代谢物-炎症轴尚未得到描述。在这里,我们研究了肠道微生物群特征和循环代谢物(包括微生物依赖和非微生物依赖的代谢物)是否与儿童循环炎症标志物相关。
我们研究了前瞻性 Gen3G 出生队列中的儿童,这些儿童具有未靶向血浆代谢组学数据(n=321 名儿童;Metabolon 平台)、肠道微生物群数据(n=147;16S rRNA 测序)和炎症标志物(纤溶酶原激活物抑制剂-1(PAI-1)、单核细胞趋化蛋白-1 和肿瘤坏死因子-α),这些标志物在 5-7 岁时测量。我们分别检查了微生物类群和代谢物(检查微生物依赖和非微生物依赖的代谢物)与每个炎症标志物和整体炎症评分(InfSc)的关联,同时调整了关键混杂因素并校正了多重比较。我们还比较了与每个炎症标志物显著相关的微生物依赖代谢物与非微生物依赖代谢物的比例,这些代谢物是预先确定的(人类微生物代谢组数据库)。
在测试的 335 个分类群中,有 149 个与至少一种炎症标志物相关(q<0.05);其中 10 个在选择伪计数时是稳健的。几种参与色氨酸代谢的细菌类群与炎症有关,包括犬尿氨酸降解菌,它与所有炎症标志物呈负相关。在测试的 1037 种代谢物中,有 315 种先前被确定为微生物依赖,与 PAI-1 和 InfSc 的相关性高于非微生物依赖代谢物。共有 87 种代谢物与至少一种炎症标志物相关(q<0.05),包括犬尿氨酸(阳性)、血清素(阳性)和色氨酸(阴性)。
一组独特的肠道微生物群和微生物依赖的代谢物,包括参与色氨酸-犬尿氨酸-血清素途径的代谢物,可能与儿童的炎症途径有关。