Association between gut microbiota and diabetic nephropathy: a two-sample mendelian randomization study.

IF 2.8 3区 医学 Q3 ENDOCRINOLOGY & METABOLISM
Shisheng Han, Yinqing Chen, Yan Lu, Meng Jia, Yanqiu Xu, Yi Wang
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引用次数: 0

Abstract

Background: Observational studies have demonstrated the alterations of gut microbiota composition in diabetic nephropathy (DN), however, the correlation between gut microbiota and DN remains unclear.

Methods: A two-sample Mendelian randomization (MR) analysis was designed to estimate the association between gut microbiota and DN. The summary statistics of gut microbiota from phylum level to genus level were obtained from a large-scale, genome-wide association study involving 18,340 individuals, and the data at the species level was derived from the study of TwinsUK Registry, including 1126 twin pairs. The summary statistics of DN were originated from the latest release data of FinnGen (R7, 299623 participants). The MR estimation was calculated using inverse variance weighted, weighted median, MR-Egger regression, and MR-PRESSO. Heterogeneity was assessed using Cochrane's Q test.

Results: Inverse variance weighted results indicated that the order Bacteroidetes and its corresponding class and phylum [odds ratio (OR), 1.58; 95% confidence interval (CI), 1.15-2.17], the family Verrucomicrobiaceae and its corresponding class and order (OR, 1.46; 95% CI, 1.14-1.87), the genera Akkermansia (OR, 1.46; 95% CI, 1.14-1.87) and Catenibacterium (OR, 1.33; 95% CI, 1.07-1.66) might be associated with a higher risk of DN; whereas the genera Coprococcus2 (OR, 0.68; 95% CI, 0.51-0.91) and Eubacterium_coprostanoligenes_group (OR, 0.69; 95% CI, 0.52-0.92) might play protective roles in DN.

Conclusions: This MR study suggested that several gut bacteria were potentially associated with DN, further studies are required to validate these findings.

肠道微生物群与糖尿病肾病之间的关系:一项双样本泯灭随机研究。
背景:观察性研究表明,糖尿病肾病(DN)患者的肠道微生物群组成发生了改变,然而,肠道微生物群与DN之间的相关性仍不清楚:方法:设计了一个双样本孟德尔随机化(MR)分析来估计肠道微生物群与 DN 之间的关系。肠道微生物群从门级到属级的汇总统计数据来自一项涉及 18,340 人的大规模全基因组关联研究,种级数据来自 TwinsUK 注册研究,包括 1126 对双胞胎。DN的汇总统计数据来自FinnGen最新发布的数据(R7,299623名参与者)。使用逆方差加权、加权中位数、MR-Egger回归和MR-PRESSO计算MR估计值。异质性采用 Cochrane's Q 检验进行评估:反方差加权结果表明,类杆菌目及其相应的类和门[几率比(OR),1.58;95% 置信区间(CI),1.15-2.17]、Verrucomicrobiaceae 科及其相应的类和目(OR,1.46;95% CI,1.14-1.87)、Akkermansia 属(OR,1.46;95% CI,1.14-1.87)和 Catenibacterium(OR,1.33;95% CI,1.07-1.66)可能与较高的 DN 风险相关;而 Coprococcus2 属(OR,0.68;95% CI,0.51-0.91)和 Eubacterium_coprostanoligenes_group(OR,0.69;95% CI,0.52-0.92)可能在 DN 中发挥保护作用:这项磁共振研究表明,几种肠道细菌可能与 DN 有关,需要进一步研究来验证这些发现。
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来源期刊
BMC Endocrine Disorders
BMC Endocrine Disorders ENDOCRINOLOGY & METABOLISM-
CiteScore
4.40
自引率
0.00%
发文量
280
审稿时长
>12 weeks
期刊介绍: BMC Endocrine Disorders is an open access, peer-reviewed journal that considers articles on all aspects of the prevention, diagnosis and management of endocrine disorders, as well as related molecular genetics, pathophysiology, and epidemiology.
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