Evidence map›Paper›PMID 40728677›Full record

ArticleInflammopharmacology2025

Associations of genetic proxies for non-steroidal anti-inflammatory drugs with increased kidney stone risk: a Mendelian randomization study.

Junfa Liu, Kaiyi Dong, Gang Qin, Chunyan Ye, Jinghan Wu, E Wang, Zhitao Dong

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Article in Inflammopharmacology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Junfa Liu *Department of Urology, The Second Xiangya Hospital, Central South University, No. 139 Renmin Road, Changsha, 410011, Hunan, China.
Kaiyi Dong *Department of Cardiac Surgery, Xiangya Hospital, Central South University, Changsha, 410008, China.
Gang QinDepartment of Anaesthesiology, Xiangya Hospital, Central South University, Changsha, 410008, China.
Chunyan YeDepartment of Anaesthesiology, Xiangya Hospital, Central South University, Changsha, 410008, China.
Jinghan WuDepartment of Anaesthesiology, Xiangya Hospital, Central South University, Changsha, 410008, China.
E WangDepartment of Anaesthesiology, Xiangya Hospital, Central South University, Changsha, 410008, China.
Zhitao DongDepartment of Urology, The Second Xiangya Hospital, Central South University, No. 139 Renmin Road, Changsha, 410011, Hunan, China. zhitaodong@hotmail.com.ORCID http://orcid.org/0000-0002-8563-2247

Funding

National Key Research and Development Program of China 2020YFC2005300
6 · The paper itself

Abstract

backgroundKidney stones are increasingly common globally, and drug-induced kidney stones are often under-recognized. Non-steroidal anti-inflammatory drugs (NSAIDs) are widely used, and their potential link to kidney stones is an area of concern. The aim of this study is to explore the potential relationship between NSAIDs and kidney stones using Mendelian randomization (MR).

methodsNSAIDs target genes were identified, and expression quantitative trait locus data were used to find genetic instruments. We conducted a summary data-based MR analysis to verify associations between genetic instruments and inflammatory factors and then assessed the causal relationship between target gene expressions and kidney stones. Sensitivity analyses, including colocalization analysis, horizontal pleiotropy assessment, investigation of weak instrumental variable impact, use of multiple data sources and methods, and testing of associations between inflammatory factors and kidney stone risk, were performed.

resultsTwelve target genes were identified. After comprehensive analysis, only NEU1 showed a significant genetically proxied association with kidney stone risk. A decrease in genetically proxied NEU1 expression was associated with an increased risk of kidney stones (odds ratio = 0.6, 95% CI 0.47-0.77). Sensitivity analyses supported the reliability of this association. No significant association was observed between tumour necrosis factor-alpha (TNF-α) and kidney stones, suggesting that the NEU1-kidney stone association may be independent of TNF-α.

conclusionsGenetically proxied lower NEU1 expression was associated with higher kidney stone risk. This association appeared independent of TNF-α levels. These findings warrant further mechanistic studies to investigate NEU1-related pathways in nephrolithiasis.

Indexed as

Anti-Inflammatory Agents, Non-SteroidalKidney CalculiGenetic Predisposition to DiseaseHumansMendelian Randomization AnalysisQuantitative Trait LociRisk FactorsAnti-Inflammatory Agents, Non-SteroidalInflammatory factorsKidney stonesMendelian randomizationNEU1NSAIDs

Identifiers

PMID40728677
PMCPMC12397129

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