小柯机器人

美国西雅图系统生物学研究所Nathan D. Price、Sean M. Gibbons和Leroy Hood等研究人员合作发现血液代谢组可用来预测人类肠道微生物组的α-多样性。这一研究成果2019年9月2日在线发表于《自然—生物技术》。

研究人员尝试在参加消费者健康计划（N = 399）的队列中利用约1000种血液分析物（实验室检测、蛋白质组学和代谢组学）预测肠道微生物组α-多样性。虽然77个标准的临床实验室测试和263个血浆蛋白质无法准确预测肠道α-多样性，但研究人员发现，45%的α-多样性可以由40个血浆代谢物（其中13个来自于微生物）来表征。这40种代谢物的预测能力在单独的验证队列（N = 540）和疾病状态中得到证实，表明这些研究结果是可信的。研究人员报道的几种代谢物生物标志物与心血管疾病、糖尿病和肾功能有关。在极度肥胖（体重指数≥35）的患者中，宿主代谢物与肠道微生物组α-多样性之间的关联发生变化，这表明代谢紊乱。血液代谢组预测肠道微生物组α-多样性的能力可为开发监测肠道微生物健康的临床试验铺平道路。

据介绍，肠道微生物组α-多样性减少与多种人类疾病有关，但是这在宿主分子表型中反映的程度却知之甚少。

附：英文原文

Title: Blood metabolome predicts gut microbiome α-diversity in humans

Author: Tomasz Wilmanski, Noa Rappaport, John C. Earls, Andrew T. Magis, Ohad Manor, Jennifer Lovejoy, Gilbert S. Omenn, Leroy Hood, Sean M. Gibbons, Nathan D. Price

Issue&Volume: 2019-09-02

Abstract: Depleted gut microbiome α-diversity is associated with several human diseases, but the extent to which this is reflected in the host molecular phenotype is poorly understood. We attempted to predict gut microbiome α-diversity from ~1,000 blood analytes (laboratory tests, proteomics and metabolomics) in a cohort enrolled in a consumer wellness program (N = 399). Although 77 standard clinical laboratory tests and 263 plasma proteins could not accurately predict gut α-diversity, we found that 45% of the variance in α-diversity was explained by a subset of 40 plasma metabolites (13 of the 40 of microbial origin). The prediction capacity of these 40 metabolites was confirmed in a separate validation cohort (N = 540) and across disease states, showing that our findings are robust. Several of the metabolite biomarkers that are reported here are linked with cardiovascular disease, diabetes and kidney function. Associations between host metabolites and gut microbiome α-diversity were modified in those with extreme obesity (body mass index ≥ 35), suggesting metabolic perturbation. The ability of the blood metabolome to predict gut microbiome α-diversity could pave the way to the development of clinical tests for monitoring gut microbial health.

DOI: 10.1038/s41587-019-0233-9

Source: https://www.nature.com/articles/s41587-019-0233-9

Nature Biotechnology：《自然—生物技术》，创刊于1996年。隶属于施普林格·自然出版集团，最新IF：68.164
官方网址：https://www.nature.com/nbt/
投稿链接：https://mts-nbt.nature.com/cgi-bin/main.plex