ArticleFrontiers in endocrinology2024
The causal relationship between 5 serum lipid parameters and diabetic nephropathy: a Mendelian randomization study.
Article in Frontiers in endocrinology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Multi-Omics Mendelian Randomization Maps Lipid-Related Brain Cell-Type Associations with Kidney Disease.Genes · 2026Article
- Article
- Atherogenic Index of Plasma is Independently Associated With Microalbuminuria in Type 2 Diabetes: A Retrospective Cross-Sectional Study.Journal of diabetes research · 2026Article
- The role of advanced glycation end products between thyroid function and diabetic nephropathy and metabolic disorders.Scientific reports · 2025Article
- High-Density Lipoprotein in Patients with Diabetic Kidney Disease: Friend or Foe?International journal of molecular sciences · 2025Review
- The triglyceride-high-density lipoprotein-glucose-body index: a superior novel biomarker for diabetic kidney disease in type 2 diabetes.Frontiers in endocrinology · 2025Article
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Authors and funding
9 authors.
Funding
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Abstract
Background: Serum lipids were found to be correlated with chronic kidney disease and cardiovascular disease. Here, we aimed to research the potential causal associations between five serum lipid parameters and the risk of diabetic nephropathy using several Mendelian Randomization methods. Methods: Genetic data was obtained from the UK Biobank datasets. Causal effects were estimated using multiple MR methods. Heterogeneity and pleiotropy tests were performed. Results: MR analysis revealed that HDL-C and TG exhibited causal associations with diabetic nephropathy ( Conclusions: Our research has suggested links between HDL-C, TG and diabetic nephropathy. The findings could contribute to further elucidation of the disease etiology. Strengths and limitations of this study: This article only uses Mendel randomization method to analyze the relationship between blood lipids and diabetes nephropathy, which is more convincing when combined with population data.
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