five

Association between the gut microbiota and diabetic nephropathy: a two-sample Mendelian randomization study

收藏
DataCite Commons2026-01-21 更新2024-08-19 收录
下载链接:
https://tandf.figshare.com/articles/dataset/Association_between_the_gut_microbiota_and_diabetic_nephropathy_a_two-sample_Mendelian_randomization_study/25965338/1
下载链接
链接失效反馈
官方服务:
资源简介:
Numerous studies have revealed a correlation between the risk of developing diabetic nephropathy (DN) and the gut microbiota (GM) composition. However, it remains uncertain whether the GM composition causes DN. We aimed to explore any potential causal links between the GM composition and the risk of developing DN. A meta-analysis conducted by the MiBioGen consortium of the largest genome-wide association study (GWAS) provided aggregated data on the GM. DN data were obtained from the IEU database. The inverse-variance weighting (IVW) method was employed as the primary analytical approach. The IVW analysis indicated that genus <i>Dialister</i> (OR = 0.51, 95% CI: 0.34–0.77, <i>p</i> = 0.00118) was protective against DN. In addition, class <i>Gammaproteobacteria</i> (OR = 0.47, 95% CI: 0.27–0.83, <i>p</i> = 0.0096), class <i>Lentisphaeria</i> (OR =0.76, 95% CI: 0.68–0.99, <i>p</i> = 0.04), order <i>Victivallales</i> (OR = 0.76, 95% CI: 0.58–0.99, <i>p</i> = 0.04), and phylum <i>Proteobacteria</i> (OR = 0.53, 95% CI: 0.33–0.85, <i>p</i> = 0.00872) were negatively associated with the risk of developing DN. Genus <i>LachnospiraceaeUCG008</i> (OR =1.45, 95% CI: 1.08–1.95, <i>p</i> = 0.01), order <i>Bacteroidales</i> (OR = 1.59, 95% CI: 1.02–2.49, <i>p</i> = 0.04), and genus <i>Terrisporobacter</i> (OR = 1.98, 95% CI: 1.14–3.45, <i>p</i> = 0.015) were positively associated with the risk of developing DN. In this study, we established a causal relationship between the genus <i>Dialister</i> and the risk of developing DN. Further trials are required to confirm the protective effects of probiotics on DN and to elucidate the precise protective mechanisms involving genus <i>Dialister</i> and DN.
提供机构:
Taylor & Francis
创建时间:
2024-06-04
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作