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功能微生物组学揭示酒精性肝炎患者肠道微生物群和宿主共代谢的改变。

Functional Microbiomics Reveals Alterations of the Gut Microbiome and Host Co-Metabolism in Patients With Alcoholic Hepatitis.

作者信息

Gao Bei, Duan Yi, Lang Sonja, Barupal Dinesh, Wu Tsung-Chin, Valdiviez Luis, Roberts Bryan, Choy Ying Yng, Shen Tong, Byram Gregory, Zhang Ying, Fan Sili, Wancewicz Benjamin, Shao Yan, Vervier Kevin, Wang Yanhan, Zhou Rongrong, Jiang Lu, Nath Shilpa, Loomba Rohit, Abraldes Juan G, Bataller Ramon, Tu Xin M, Stärkel Peter, Lawley Trevor D, Fiehn Oliver, Schnabl Bernd

机构信息

Department of Medicine University of California San Diego La Jolla CA.

Department of Medicine VA San Diego Healthcare System San Diego CA.

出版信息

Hepatol Commun. 2020 Jun 19;4(8):1168-1182. doi: 10.1002/hep4.1537. eCollection 2020 Aug.

Abstract

Alcohol-related liver disease is a major public health burden, and the gut microbiota is an important contributor to disease pathogenesis. The aim of the present study is to characterize functional alterations of the gut microbiota and test their performance for short-term mortality prediction in patients with alcoholic hepatitis. We integrated shotgun metagenomics with untargeted metabolomics to investigate functional alterations of the gut microbiota and host co-metabolism in a multicenter cohort of patients with alcoholic hepatitis. Profound changes were found in the gut microbial composition, functional metagenome, serum, and fecal metabolomes in patients with alcoholic hepatitis compared with nonalcoholic controls. We demonstrate that in comparison with single omics alone, the performance to predict 30-day mortality was improved when combining microbial pathways with respective serum metabolites in patients with alcoholic hepatitis. The area under the receiver operating curve was higher than 0.85 for the tryptophan, isoleucine, and methionine pathways as predictors for 30-day mortality, but achieved 0.989 for using the urea cycle pathway in combination with serum urea, with a bias-corrected prediction error of 0.083 when using leave-one-out cross validation. Our study reveals changes in key microbial metabolic pathways associated with disease severity that predict short-term mortality in our cohort of patients with alcoholic hepatitis.

摘要

酒精性肝病是一项重大的公共卫生负担,而肠道微生物群是疾病发病机制的重要促成因素。本研究的目的是描述肠道微生物群的功能改变,并测试它们对酒精性肝炎患者短期死亡率的预测性能。我们将鸟枪法宏基因组学与非靶向代谢组学相结合,以研究酒精性肝炎多中心队列中肠道微生物群的功能改变和宿主共代谢情况。与非酒精性对照相比,酒精性肝炎患者的肠道微生物组成、功能宏基因组、血清和粪便代谢组发生了深刻变化。我们证明,与单独的单一组学相比,在酒精性肝炎患者中,将微生物途径与相应的血清代谢物相结合时,预测30天死亡率的性能有所提高。作为30天死亡率预测指标,色氨酸、异亮氨酸和甲硫氨酸途径的受试者工作特征曲线下面积高于0.85,但使用尿素循环途径与血清尿素相结合时达到0.989,采用留一法交叉验证时偏差校正预测误差为0.083。我们的研究揭示了与疾病严重程度相关的关键微生物代谢途径的变化,这些变化可预测我们队列中酒精性肝炎患者的短期死亡率。

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