Evidence map›Paper›PMID 40686015›Full record

ArticleBrain and behavior2025

Genetic Insights Into the Link Between Restless Legs Syndrome and Diabetic Nephropathy Risk.

Yun Lin, Xiaorui Cai, Haohao Chen, Xiaoling Tang

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Article in Brain and behavior, 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

4 authors.

Yun LinDepartment of Pharmacy, Shantou Central Hospital, Shantou, Guangdong Province, China.
Xiaorui CaiDepartment of Pharmacy, The Affiliated Cancer Hospital of Shantou University Medical College, Shantou, Guangdong Province, China.
Haohao ChenDepartment of Pharmacy, The First Affiliated Hospital of Shantou University Medical College, Shantou, Guangdong Province, China.ORCID https://orcid.org/0000-0002-8407-1089
Xiaoling TangDepartment of Nephrology, Shantou Central Hospital, Shantou, Guangdong Province, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRestless legs syndrome (RLS) is a common neuro-sensory disorder associated with various metabolic diseases, including diabetes mellitus and its complications. Observational studies suggest a potential association between RLS and diabetic complications; however, the causal relationship remains unclear due to confounding factors and reverse causation. This study aims to assess the causal relationship between RLS and diabetes, including its complications, using a bidirectional Mendelian randomization (MR) approach.

methodsGenetic instruments derived from the latest genome-wide association study (GWAS) data for RLS, Type 1 diabetes, Type 2 diabetes, and diabetic complications (diabetic nephropathy, diabetic retinopathy, and diabetic neuropathy) were selected on the basis of MR assumptions. For causal inference, RLS was used as the exposure, whereas diabetes and its complications were considered outcomes. Reverse MR analyses were performed to assess potential causal effects of diabetes and its complications on RLS. Primary analysis used the inverse-variance weighted (IVW) method, with IVW radial and robust adjusted profile score (RAPS) as supplementary methods. Heterogeneity, pleiotropy, and robustness were assessed in both discovery (UK Biobank) and validation (FinnGen) datasets.

resultsForward MR analysis revealed a significant causal effect of RLS on the risk of diabetic nephropathy in both the discovery (IVW: OR = 1.049, p = 0.0238) and validation cohorts (IVW: OR = 1.067, p = 0.0028). However, no significant causal relationships were found for other primary outcomes, including Type 2 diabetes (IVW: OR = 1.011, 95% CI: 0.994-1.029) and Type 1 diabetes (IVW: OR = 0.995, 95% CI: 0.967-1.023). Sensitivity analyses showed no evidence of heterogeneity or horizontal pleiotropy. Reverse MR analysis did not demonstrate a causal effect of diabetes or its complications on RLS.

conclusionsThe findings suggest that RLS causally increases the risk of diabetic nephropathy. Early recognition and management of RLS in patients with diabetes may help prevent or delay the progression of nephropathy. Further studies are warranted to explore underlying mechanisms and potential clinical interventions.

Indexed as

Diabetic NephropathiesRestless Legs SyndromeDiabetes Mellitus, Type 1Diabetes Mellitus, Type 2Genetic Predisposition to DiseaseGenome-Wide Association StudyHumansMendelian Randomization AnalysisRisk Factorscausal inferencediabetes mellitusdiabetic nephropathyMendelian randomizationrestless legs syndrome

Identifiers

PMID40686015
PMCPMC12277665

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.