Association between gut microbiota and diabetic nephropathy: a mendelian randomization study

被引:4
作者
Jin, Yongxiu [1 ,2 ]
Han, Chenxi [3 ]
Yang, Dongliang [4 ]
Gao, Shanlin [1 ,2 ]
机构
[1] Tangshan Gongren Hosiptal, Dept Nephrol, Tangshan, Peoples R China
[2] Hebei Med Univ, Grad Sch, Shijiazhuang, Peoples R China
[3] Tangshan Maternal & Child Hlth Hosp, Tangshan, Peoples R China
[4] Cangzhou Med Coll, Cangzhou, Peoples R China
关键词
diabetic nephropathy; gut microbiota; mendelian randomization; short-chain fatty acids; insulin resistance; DISEASE; BACTERIA; INFLAMMATION;
D O I
10.3389/fmicb.2024.1309871
中图分类号
Q93 [微生物学];
学科分类号
071005 ; 100705 ;
摘要
Background The correlation between diabetic nephropathy (DN) and gut microbiota (GM) has been suggested in numerous animal experiments and cross-sectional studies. However, a causal association between GM and DN has not been ascertained.Methods This research adopted MR analysis to evaluate the causal link between GM and DN derived from data acquired through publicly available genome-wide association studies (GWAS). The study utilized the inverse variance weighted (IVW) approach to assess causal association between GM and DN. Four additional methods including MR-Egger, weighted median, weighted mode, and simple mode were employed to ensure comprehensive analysis and robust results. The Cochran's Q test and the MR-Egger method were conducted to identify heterogeneity and horizontal pleiotropy, respectively. The leave-one-out approach was utilized to evaluate the stability of MR results. Finally, a reverse MR was performed to identify the reverse causal association between GM and DN.Results According to IVW analysis, Class Verrucomicrobiae (p = 0.003), Order Verrucomicrobiales (p = 0.003), Family Verrucomicrobiaceae (p = 0.003), Genus Akkermansia (p = 0.003), Genus Catenibacterium (p = 0.031), Genus Coprococcus 1 (p = 0.022), Genus Eubacterium hallii group (p = 0.018), and Genus Marvinbryantia (p = 0.023) were associated with a higher risk of DN. On the contrary, Class Actinobacteria (p = 0.037), Group Eubacterium ventriosum group (p = 0.030), Group Ruminococcus gauvreauii group (p = 0.048), Order Lactobacillales (p = 0.045), Phylum Proteobacteria (p = 0.017) were associated with a lower risk of DN. The sensitivity analysis did not identify any substantial pleiotropy or heterogeneity in the outcomes. We found causal effects of DN on 11 GM species in the reverse MR analysis. Notably, Phylum Proteobacteria and DN are mutually causalities.Conclusion This study identified the causal association between GM and DN with MR analysis, which may enhance the understanding of the intestinal-renal axis and provide novel potential targets for early non-invasive diagnosis and treatment of DN.
引用
收藏
页数:14
相关论文
共 91 条
[11]   Changes of gut microbiota in diabetic nephropathy and its effect on the progression of kidney injury [J].
Cai, Kedan ;
Ma, Yanhong ;
Cai, Fanghao ;
Huang, Xiaohan ;
Xiao, Liang ;
Zhong, Chenyu ;
Ren, Pingping ;
Luo, Qun ;
Chen, Jianghua ;
Han, Fei .
ENDOCRINE, 2022, 76 (02) :294-303
[12]  
Cani PD, 2022, NAT REV GASTRO HEPAT, V19, P625, DOI 10.1038/s41575-022-00631-9
[13]   Gut bacteria from multiple sclerosis patients modulate human T cells and exacerbate symptoms in mouse models [J].
Cekanaviciute, Egle ;
Yoo, Bryan B. ;
Runia, Tessel F. ;
Debelius, Justine W. ;
Singh, Sneha ;
Nelson, Charlotte A. ;
Kanner, Rachel ;
Bencosme, Yadira ;
Lee, Yun Kyung ;
Hauser, Stephen L. ;
Crabtree-Hartman, Elizabeth ;
Sand, Ilana Katz ;
Gacias, Mar ;
Zhu, Yungjiao ;
Casaccia, Patrizia ;
Cree, Bruce A. C. ;
Knight, Rob ;
Mazmanian, Sarkis K. ;
Baranzini, Sergio E. .
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2017, 114 (40) :10713-10718
[14]   The dialog between microbiota and the immune system: Shaping the partners through development and evolution [J].
Cerf-Bensussan, Nadine ;
Eberl, Gerard .
SEMINARS IN IMMUNOLOGY, 2012, 24 (01) :1-2
[15]   Ginsenoside Compound K Ameliorates Development of Diabetic Kidney Disease through Inhibiting TLR4 Activation Induced by Microbially Produced Imidazole Propionate [J].
Chen, Qian ;
Ren, Dongwen ;
Liu, Luokun ;
Xu, Jingge ;
Wu, Yuzheng ;
Yu, Haiyang ;
Liu, Mengyang ;
Zhang, Yi ;
Wang, Tao .
INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES, 2022, 23 (21)
[16]   Association of Insulin Resistance and Type 2 Diabetes With Gut Microbial Diversity A Microbiome-Wide Analysis From Population Studies [J].
Chen, Zhangling ;
Radjabzadeh, Djawad ;
Chen, Lianmin ;
Kurilshikov, Alexander ;
Kavousi, Maryam ;
Ahmadizar, Fariba ;
Ikram, M. Arfan ;
Uitterlinden, Andre G. ;
Zhernakova, Alexandra ;
Fu, Jingyuan ;
Kraaij, Robert ;
Voortman, Trudy .
JAMA NETWORK OPEN, 2021, 4 (07)
[17]   The Immunomodulatory Effect of the Gut Microbiota in Kidney Disease [J].
Chi, Mingxuan ;
Ma, Kuai ;
Wang, Jing ;
Ding, Zhaolun ;
Li, Yunlong ;
Zhu, Shaomi ;
Liang, Xin ;
Zhang, Qinxiu ;
Song, Linjiang ;
Liu, Chi .
JOURNAL OF IMMUNOLOGY RESEARCH, 2021, 2021
[18]   Genetics of diabetes mellitus and diabetes complications [J].
Cole, Joanne B. ;
Florez, Jose C. .
NATURE REVIEWS NEPHROLOGY, 2020, 16 (07) :377-390
[19]   Mendelian randomization: genetic anchors for causal inference in epidemiological studies [J].
Davey Smith, George ;
Hemani, Gibran .
HUMAN MOLECULAR GENETICS, 2014, 23 :R89-R98
[20]   Executive summary of the 2020 KDIGO Diabetes Management in CKD Guideline: evidence-based advances in monitoring and treatment [J].
de Boer, Ian H. ;
Caramori, M. Luiza ;
Chan, Juliana C. N. ;
Heerspink, Hiddo J. L. ;
Hurst, Clint ;
Khunti, Kamlesh ;
Liew, Adrian ;
Michos, Erin D. ;
Navaneethan, Sankar D. ;
Olowu, Wasiu A. ;
Sadusky, Tami ;
Tandon, Nikhil ;
Tuttle, Katherine R. ;
Wanner, Christoph ;
Wilkens, Katy G. ;
Zoungas, Sophia ;
Lytvyn, Lyubov ;
Craig, Jonathan C. ;
Tunnicliffe, David J. ;
Howell, Martin ;
Tonelli, Marcello ;
Cheung, Michael ;
Earley, Amy ;
Rossing, Peter .
KIDNEY INTERNATIONAL, 2020, 98 (04) :839-848