共 46 条
Association between 1400 metabolites and IgA nephropathy: A Mendelian randomization analysis
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Wang, Chenxin
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Guangzhou Univ Chinese Med, Clin Med Coll 4, Shenzhen 518000, Guangdong, Peoples R China Guangzhou Univ Chinese Med, Clin Med Coll 4, Shenzhen 518000, Guangdong, Peoples R China

Li, Yanran
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Guangzhou Univ Chinese Med, Clin Med Coll 4, Shenzhen 518000, Guangdong, Peoples R China Guangzhou Univ Chinese Med, Clin Med Coll 4, Shenzhen 518000, Guangdong, Peoples R China

Zhong, Linyu
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Guangzhou Univ Chinese Med, Clin Med Coll 4, Shenzhen 518000, Guangdong, Peoples R China Guangzhou Univ Chinese Med, Clin Med Coll 4, Shenzhen 518000, Guangdong, Peoples R China

Sun, Na
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Guangzhou Univ Chinese Med, Clin Med Coll 4, Shenzhen 518000, Guangdong, Peoples R China Guangzhou Univ Chinese Med, Clin Med Coll 4, Shenzhen 518000, Guangdong, Peoples R China

Luo, Denggui
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Guangzhou Univ Chinese Med, Clin Med Coll 4, Shenzhen 518000, Guangdong, Peoples R China Guangzhou Univ Chinese Med, Clin Med Coll 4, Shenzhen 518000, Guangdong, Peoples R China

Xu, Yuanzhao
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Guangzhou Univ Chinese Med, Clin Med Coll 4, Shenzhen 518000, Guangdong, Peoples R China Guangzhou Univ Chinese Med, Clin Med Coll 4, Shenzhen 518000, Guangdong, Peoples R China

Qi, Airong
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Guangzhou Univ Chinese Med, Clin Med Coll 4, Shenzhen 518000, Guangdong, Peoples R China Guangzhou Univ Chinese Med, Clin Med Coll 4, Shenzhen 518000, Guangdong, Peoples R China
机构:
[1] Guangzhou Univ Chinese Med, Clin Med Coll 4, Shenzhen 518000, Guangdong, Peoples R China
来源:
关键词:
causal effect;
FinnGen;
IgA nephropathy;
Mendelian randomization;
serum metabolites;
TH17;
CELLS;
INSTRUMENTS;
D O I:
10.1097/MD.0000000000043353
中图分类号:
R5 [内科学];
学科分类号:
1002 ;
100201 ;
摘要:
IgA nephropathy (IgAN) is the leading cause of end-stage renal disease, although its mechanisms remain incompletely understood. Previous studies have identified metabolites associated with IgAN, but their causal relationships require further investigation. This study employed a 2-sample Mendelian randomization (MR) approach to assess the causal relationships between 1400 serum metabolites and IgAN. Causal effects between these metabolites and IgAN were estimated using the inverse-variance weighted method. Additional analyses, including MR-Egger regression, weighted median, simple mode, and weighted mode methods, were conducted to refine and validate these findings. Pleiotropy and heterogeneity tests were also performed. The initial analysis identified 9 known and 4 novel metabolites associated with IgAN. Notably, Acisoga was found to increase the risk of IgAN, whereas serine exhibited a protective effect; both findings were confirmed by robust statistical tests (P < .05). This initial MR analysis highlights 2 metabolites significantly linked to IgAN, providing valuable insights into the disease' s underlying mechanisms for clinical research. Further investigation is needed to validate these findings.
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