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一种微生物特征可识别主要由非酒精性脂肪性肝病引起的慢性肝病患者的晚期纤维化。

A Microbial Signature Identifies Advanced Fibrosis in Patients with Chronic Liver Disease Mainly Due to NAFLD.

机构信息

The Vatche and Tamar Manoukian Division of Digestive Diseases, Department of Medicine, David Geffen School of Medicine at UCLA, Los Angeles, CA, USA.

UCLA Microbiome Center, David Geffen School of Medicine at UCLA, Los Angeles, CA, USA.

出版信息

Sci Rep. 2020 Feb 17;10(1):2771. doi: 10.1038/s41598-020-59535-w.

Abstract

The presence of advanced fibrosis is an important measure of the severity of chronic liver disease. Prior works that have examined the gut microbiome as a novel biomarker for advanced fibrosis have only examined patients with nonalcoholic fatty liver disease. Therefore, our goal was to examine the gut microbiome across varying etiologies of liver disease to create a predictive model for liver fibrosis based upon a microbial signature. Stool samples were obtained from patients with chronic liver disease (n = 50) undergoing FibroScan (ultrasound elastography) at the VA Greater Los Angeles Healthcare System. Healthy control patients (n = 25) were also recruited as a reference population. Fecal samples underwent 16S ribosomal RNA sequencing. Using differentially abundant microbes, a random forest classifier model was created to distinguish advanced fibrosis from mild/moderate fibrosis. The findings were then validated in a separate cohort of chronic liver disease patients (n = 37). Etiologies for liver disease included non-alcoholic liver disease (58.0%), hepatitis C (26.0%), hepatitis B (10.0%), and alcohol (6.0%). Microbiome composition was distinct in liver patients with advanced fibrosis compared to those with minimal fibrosis and healthy controls (p = 0.003). In multivariate negative binomial modeling, 26 bacterial taxa were differentially abundant in patients with advanced fibrosis as compared to those with minimal/moderate fibrosis (q-value < 0.05). A random forests classifier based on these taxa had an AUROC of 0.90 to predict advanced fibrosis. Prevotella copri, which was enriched in patients with advanced fibrosis, was the most strongly predictive microbe in the classifier. The classifier had an AUROC of 0.82 for advanced fibrosis in the validation cohort and Prevotella copri remained the strongest predictive microbe for advanced fibrosis. There is a distinct microbial signature for patients with advanced fibrosis independent of liver disease etiology and other comorbidities. These results suggest that microbial profiles can be used as a non-invasive marker for advanced fibrosis and support the hypothesis that microbes and their metabolites contribute to hepatic fibrosis.

摘要

肝脏纤维化的存在是慢性肝病严重程度的一个重要衡量标准。先前研究肠道微生物组作为一种新的肝纤维化生物标志物的工作,仅检查了非酒精性脂肪性肝病患者。因此,我们的目标是检查不同病因的肝病患者的肠道微生物组,根据微生物特征建立肝纤维化预测模型。从接受退伍军人事务部大洛杉矶医疗保健系统 FibroScan(超声弹性成像)检查的慢性肝病患者(n=50)中获得粪便样本。还招募了健康对照患者(n=25)作为参考人群。对粪便样本进行 16S 核糖体 RNA 测序。使用差异丰度微生物,创建随机森林分类器模型,以区分肝纤维化程度。然后在另一组慢性肝病患者(n=37)中验证该模型。肝病的病因包括非酒精性肝病(58.0%)、丙型肝炎(26.0%)、乙型肝炎(10.0%)和酒精(6.0%)。与轻度/中度纤维化和健康对照组相比,患有晚期纤维化的肝病患者的微生物组组成明显不同(p=0.003)。在多元负二项式模型中,与轻度/中度纤维化患者相比,晚期纤维化患者有 26 种细菌分类群存在差异(q 值<0.05)。基于这些分类群的随机森林分类器对预测晚期纤维化的 AUROC 为 0.90。在分类器中,丰度增加的普雷沃氏菌属(Copri)是最具预测性的微生物。该分类器在验证队列中对晚期纤维化的 AUROC 为 0.82,普雷沃氏菌属(Copri)仍然是预测晚期纤维化的最强微生物。独立于肝病病因和其他合并症,晚期纤维化患者存在明显的微生物特征。这些结果表明,微生物谱可以作为晚期纤维化的非侵入性标志物,并支持微生物及其代谢物有助于肝纤维化的假说。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4f76/7026172/d9e0099de519/41598_2020_59535_Fig1_HTML.jpg

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