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肠道微生物群可区分痛风患者与健康人。

Intestinal Microbiota Distinguish Gout Patients from Healthy Humans.

作者信息

Guo Zhuang, Zhang Jiachao, Wang Zhanli, Ang Kay Ying, Huang Shi, Hou Qiangchuan, Su Xiaoquan, Qiao Jianmin, Zheng Yi, Wang Lifeng, Koh Eileen, Danliang Ho, Xu Jian, Lee Yuan Kun, Zhang Heping

机构信息

Key Laboratory of Dairy Biotechnology and Bioengineering, Education Ministry of P. R. China, Huhhot, Inner Mongolia, 010018, China.

The First Affiliated Hospital, Baotou Medical College, Baotou, Inner Mongolia, 014010, China.

出版信息

Sci Rep. 2016 Feb 8;6:20602. doi: 10.1038/srep20602.

Abstract

Current blood-based approach for gout diagnosis can be of low sensitivity and hysteretic. Here via a 68-member cohort of 33 healthy and 35 diseased individuals, we reported that the intestinal microbiota of gout patients are highly distinct from healthy individuals in both organismal and functional structures. In gout, Bacteroides caccae and Bacteroides xylanisolvens are enriched yet Faecalibacterium prausnitzii and Bifidobacterium pseudocatenulatum depleted. The established reference microbial gene catalogue for gout revealed disorder in purine degradation and butyric acid biosynthesis in gout patients. In an additional 15-member validation-group, a diagnosis model via 17 gout-associated bacteria reached 88.9% accuracy, higher than the blood-uric-acid based approach. Intestinal microbiota of gout are more similar to those of type-2 diabetes than to liver cirrhosis, whereas depletion of Faecalibacterium prausnitzii and reduced butyrate biosynthesis are shared in each of the metabolic syndromes. Thus the Microbial Index of Gout was proposed as a novel, sensitive and non-invasive strategy for diagnosing gout via fecal microbiota.

摘要

目前基于血液的痛风诊断方法可能灵敏度较低且具有滞后性。在此,通过一个由33名健康个体和35名患病个体组成的68人队列,我们报告称痛风患者的肠道微生物群在生物结构和功能结构上均与健康个体有很大差异。在痛风患者中,粪便拟杆菌和木聚糖拟杆菌增多,而普拉梭菌和假链状双歧杆菌减少。已建立的痛风参考微生物基因目录显示痛风患者的嘌呤降解和丁酸生物合成存在紊乱。在另一个由15人组成的验证组中,通过17种与痛风相关的细菌建立的诊断模型准确率达到88.9%,高于基于血尿酸的诊断方法。痛风患者的肠道微生物群与2型糖尿病患者的更相似,而与肝硬化患者的差异较大,而普拉梭菌的减少和丁酸生物合成的降低在每种代谢综合征中都存在。因此,提出了痛风微生物指数作为一种通过粪便微生物群诊断痛风的新型、灵敏且非侵入性的策略。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1201/4757479/395b2bb88362/srep20602-f1.jpg

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