Hertel Johannes, Fässler Daniel, Heinken Almut, Weiß Frank U, Rühlemann Malte, Bang Corinna, Franke Andre, Budde Kathrin, Henning Ann-Kristin, Petersmann Astrid, Völker Uwe, Völzke Henry, Thiele Ines, Grabe Hans-Jörgen, Lerch Markus M, Nauck Matthias, Friedrich Nele, Frost Fabian
Department of Psychiatry and Psychotherapy, University Medicine Greifswald, D-17475 Greifswald, Germany.
School of Medicine, National University of Ireland, H91 CF50 Galway, Ireland.
Metabolites. 2022 Mar 31;12(4):308. doi: 10.3390/metabo12040308.
Microbial metabolites measured using NMR may serve as markers for physiological or pathological host-microbe interactions and possibly mediate the beneficial effects of microbiome diversity. Yet, comprehensive analyses of gut microbiome data and the urine NMR metabolome from large general population cohorts are missing. Here, we report the associations between gut microbiota abundances or metrics of alpha diversity, quantified from stool samples using 16S rRNA gene sequencing, with targeted urine NMR metabolites measures from 951 participants of the Study of Health in Pomerania (SHIP). We detected significant genus-metabolite associations for hippurate, succinate, indoxyl sulfate, and formate. Moreover, while replicating the previously reported association between hippurate and measures of alpha diversity, we identified formate and 4-hydroxyphenylacetate as novel markers of gut microbiome alpha diversity. Next, we predicted the urinary concentrations of each metabolite using genus abundances via an elastic net regression methodology. We found profound associations of the microbiome-based hippurate prediction score with markers of liver injury, inflammation, and metabolic health. Moreover, the microbiome-based prediction score for hippurate completely mediated the clinical association pattern of microbial diversity, hinting at a role of benzoate metabolism underlying the positive associations between high alpha diversity and healthy states. In conclusion, large-scale NMR urine metabolomics delivered novel insights into metabolic host-microbiome interactions, identifying pathways of benzoate metabolism as relevant candidates mediating the beneficial health effects of high microbial alpha diversity.
使用核磁共振(NMR)测量的微生物代谢产物可作为生理或病理宿主 - 微生物相互作用的标志物,并可能介导微生物群多样性的有益作用。然而,目前尚缺乏对来自大规模普通人群队列的肠道微生物组数据和尿液NMR代谢组的综合分析。在此,我们报告了使用16S rRNA基因测序从粪便样本中量化的肠道微生物群丰度或α多样性指标与来自波美拉尼亚健康研究(SHIP)的951名参与者的靶向尿液NMR代谢产物测量值之间的关联。我们检测到马尿酸盐、琥珀酸盐、硫酸吲哚酚和甲酸盐存在显著的属 - 代谢产物关联。此外,在重复先前报道的马尿酸盐与α多样性测量值之间的关联时,我们确定甲酸盐和4 - 羟基苯乙酸为肠道微生物组α多样性的新标志物。接下来,我们通过弹性网络回归方法使用属丰度预测每种代谢产物的尿液浓度。我们发现基于微生物组的马尿酸盐预测评分与肝损伤、炎症和代谢健康标志物之间存在密切关联。此外,基于微生物组的马尿酸盐预测评分完全介导了微生物多样性的临床关联模式,这表明苯甲酸代谢在高α多样性与健康状态之间的正相关关系中发挥了作用。总之,大规模NMR尿液代谢组学为代谢性宿主 - 微生物组相互作用提供了新见解,确定苯甲酸代谢途径是介导高微生物α多样性有益健康效应的相关候选途径。