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Alterations of the Human Gut Microbiome in Chronic Kidney Disease

机译:慢性肾病中人体肠道微生物组的改变

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摘要

Gut microbiota make up the largest microecosystem in the human body and are closely related to chronic metabolic diseases. Herein, 520 fecal samples are collected from different regions of China, the gut microbiome in chronic kidney disease (CKD) is characterized, and CKD classifiers based on microbial markers are constructed. Compared with healthy controls (HC, n = 210), gut microbial diversity is significantly decreased in CKD (n = 110), and the microbial community is remarkably distinguished from HC. Genera Klebsiella and Enterobacteriaceae are enriched, while Blautia and Roseburia are reduced in CKD. Fifty predicted microbial functions including tryptophan and phenylalanine metabolisms increase, while 36 functions including arginine and proline metabolisms decrease in CKD. Notably, five optimal microbial markers are identified using the random forest model. The area under the curve (AUC) reaches 0.9887 in the discovery cohort and 0.9512 in the validation cohort (49 CKD vs 63 HC). Importantly, the AUC reaches 0.8986 in the extra diagnosis cohort from Hangzhou. Moreover, Thalassospira and Akkermansia are increased with CKD progression. Thirteen operational taxonomy units are correlated with six clinical indicators of CKD. In conclusion, this study comprehensively characterizes gut microbiome in non‐dialysis CKD and demonstrates the potential of microbial markers as non‐invasive diagnostic tools for CKD in different regions of China.
机译:Gut Microbiota在人体中构成最大的微生物系统,与慢性代谢疾病密切相关。这里,从中国的不同地区收集520个粪便样品,表征慢性肾脏疾病(CKD)的肠道微生物组,构建基于微生物标记的CKD分类器。与健康对照(HC,N = 210)相比,CKD(n = 110)中的肠道微生物分集显着降低,并且微生物群体显着与HC区分开。 Genera Klebsiella和肠杆菌菌是富集的,而Blautia和Rosebura在CKD中减少。五十个预测的微生物功能,包括色氨酸和苯丙氨酸代谢增加,而36个功能包括精氨酸和脯氨酸代谢的CKD降低。值得注意的是,使用随机林模型鉴定了五种最佳微生物标记。曲线(AUC)下的区域在验证队列中的发现队列和0.9512中达到0.9887(49 CKD 63 HC)。重要的是,AUC占杭州额外诊断队列中的0.8986。此外,Thalassospira和Akkermansia随着CKD进展而增加。十三个运营分类单位与CKD的六个临床指标相关。总之,本研究全面地表征了非透析CKD中的肠道微生物组,并证明了微生物标记为中国不同地区的非侵入性诊断工具。

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