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研究揭示药物与微生物组的组合、叠加和剂量依赖关系
作者:小柯机器人 发布时间:2021/12/12 22:29:02

德国欧洲分子生物学实验室Peer Bork等研究人员合作揭示药物与微生物组的组合、叠加和剂量依赖关系。2021年12月8日,《自然》杂志在线发表了这项成果。

通过对MetaCardis队列中2173名欧洲居民的综合多组学分析,研究人员表明药物对宿主和肠道微生物组特征的变异性的解释能力超过了疾病的解释能力。研究人员量化了单一药物的推断效果、它们的组合以及附加效果,并显示后者将代谢组和微生物组转向更健康的状态,例如他汀类药物与阿司匹林的组合协同降低了血清致动脉粥样硬化脂蛋白,或者利尿剂与β-受体阻滞剂的组合丰富了肠道罗氏菌。几种抗生素在处方的疗程数和心脏代谢疾病严重程度相关的微生物组状态之间表现出一种定量关系。
 
研究人员还报告了心脏代谢药物剂量、临床标志物的改善和微生物组组成之间的关系,这支持了药物的直接效应。因此,这个计算框架和由此产生的资源能够解除药物和疾病对多药个体的宿主和微生物组特征的影响。此外,使用这个框架确定的强大特征为心脏代谢疾病中药物-宿主-微生物组的相互作用提供了新的假设。
 
据介绍,在从健康状态过渡到心脏代谢疾病的过程中,患者会大量用药,这导致肠道微生物组和血清代谢组越来越反常,并使生物标志物的发现变得复杂。
 
附:英文原文
 
Title: Combinatorial, additive and dose-dependent drug–microbiome associations

Author: Forslund, Sofia K., Chakaroun, Rima, Zimmermann-Kogadeeva, Maria, Mark, Lajos, Aron-Wisnewsky, Judith, Nielsen, Trine, Moitinho-Silva, Lucas, Schmidt, Thomas S. B., Falony, Gwen, Vieira-Silva, Sara, Adriouch, Solia, Alves, Renato J., Assmann, Karen, Bastard, Jean-Philippe, Birkner, Till, Caesar, Robert, Chilloux, Julien, Coelho, Luis Pedro, Fezeu, Leopold, Galleron, Nathalie, Helft, Gerard, Isnard, Richard, Ji, Boyang, Kuhn, Michael, Le Chatelier, Emmanuelle, Myridakis, Antonis, Olsson, Lisa, Pons, Nicolas, Prifti, Edi, Quinquis, Benoit, Roume, Hugo, Salem, Joe-Elie, Sokolovska, Nataliya, Tremaroli, Valentina, Valles-Colomer, Mireia, Lewinter, Christian, Sndertoft, Nadja B., Pedersen, Helle Krogh, Hansen, Tue H., Gtze, Jens Peter, Kber, Lars, Vestergaard, Henrik, Hansen, Torben, Zucker, Jean-Daniel, Hercberg, Serge, Oppert, Jean-Michel, Letunic, Ivica, Nielsen, Jens, Bckhed, Fredrik, Ehrlich, S. Dusko, Dumas, Marc-Emmanuel, Raes, Jeroen, Pedersen, Oluf, Clment, Karine, Stumvoll, Michael, Bork, Peer

Issue&Volume: 2021-12-08

Abstract: During the transition from a healthy state to cardiometabolic disease, patients become heavily medicated, which leads to an increasingly aberrant gut microbiome and serum metabolome, and complicates biomarker discovery1,2,3,4,5. Here, through integrated multi-omics analyses of 2,173 European residents from the MetaCardis cohort, we show that the explanatory power of drugs for the variability in both host and gut microbiome features exceeds that of disease. We quantify inferred effects of single medications, their combinations as well as additive effects, and show that the latter shift the metabolome and microbiome towards a healthier state, exemplified in synergistic reduction in serum atherogenic lipoproteins by statins combined with aspirin, or enrichment of intestinal Roseburia by diuretic agents combined with beta-blockers. Several antibiotics exhibit a quantitative relationship between the number of courses prescribed and progression towards a microbiome state that is associated with the severity of cardiometabolic disease. We also report a relationship between cardiometabolic drug dosage, improvement in clinical markers and microbiome composition, supporting direct drug effects. Taken together, our computational framework and resulting resources enable the disentanglement of the effects of drugs and disease on host and microbiome features in multimedicated individuals. Furthermore, the robust signatures identified using our framework provide new hypotheses for drug–host–microbiome interactions in cardiometabolic disease.

DOI: 10.1038/s41586-021-04177-9

Source: https://www.nature.com/articles/s41586-021-04177-9

期刊信息

Nature:《自然》,创刊于1869年。隶属于施普林格·自然出版集团,最新IF:43.07
官方网址:http://www.nature.com/
投稿链接:http://www.nature.com/authors/submit_manuscript.html