Evidence map›Paper›PMID 38890685›Full record

ArticleDiabetology & metabolic syndrome2024

Causality between serum uric acid and diabetic microvascular complications - a mendelian randomization study.

Hongli Wu, Xuefeng Li, Wenning Zhang, Huifang Peng, Hongwei Jiang

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Article in Diabetology & metabolic syndrome, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

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5citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

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5 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Hongli Wu *Department of Endocrinology and Metabolism, The Second Affiliated Hospital of Henan University of Science and Technology, Luoyang, China.
Xuefeng Li *Department of Endocrinology and Metabolism, The Second Affiliated Hospital of Henan University of Science and Technology, Luoyang, China.
Wenning ZhangDepartment of Endocrinology and Metabolism, The Second Affiliated Hospital of Henan University of Science and Technology, Luoyang, China.
Huifang PengEndocrinology and Metabolism Center, The First Affiliated Hospital, and College of Clinical Medicine of Henan University of Science and Technology, Luoyang, China. penghuifang_sky@163.com.
Hongwei JiangEndocrinology and Metabolism Center, The First Affiliated Hospital, and College of Clinical Medicine of Henan University of Science and Technology, Luoyang, China.

Funding

The grants from the Science and Technology Project in Henan 222102310008The Joint Co-construction Project of Henan Medical Science and Technology Research Plan LHGJ20230840
6 · The paper itself

Abstract

backgroundThe aim of this study was to investigate whether a causal relationship exists between serum uric acid (SUA) and diabetic microvascular complications using a two-sample Mendelian randomization (MR) method.

methodsWe used the MR approach, utilizing genome-wide association study (GWAS) summary statistics, to estimate the causal effect of SUA on diabetic microvascular complications in European individuals. The summary statistical data of SUA were obtained from the open database (IEU OPEN GWAS PROJECT) (p < 5 × 10

resultsMR analysis revealed a causal relationship between a genetically predicted increase in SUA and diabetic nephropathy [OR = 1.32, 95%(CI) = 1.07-1.63, p = 0.008]. The results were consistent with those after MR-PRESSO [OR = 1.30, 95%(CI) = 1.07-1.58, p = 0.008]. There was a causal relationship between type 2 diabetes mellitus (T2DM) and renal complication IVW [OR = 1.27, 95%(CI) = 1.00-1.62, p = 0.049]. These results were consistent with those after MR-PRESSO [OR = 1.27, 95%(CI) = 1.00-1.62, p = 0.050]. There was no significant causal relationship between the genetically predicted increase in SUA and diabetic retinopathy [OR 1.09, 95%(CI) = 0.94-1.26, p = 0.249] or diabetic neuropathy [OR = 1.08, 95%(CI) = 0.84-1.40, p = 0.549].

conclusionsThis MR analysis suggests a causal relationship between genetically predicted uric acid increases and diabetic microvascular complications. A significant causal relationship exists between SUA and diabetic nephropathy but not between SUA and diabetic retinopathy or diabetic neuropathy.

Indexed as

Diabetic microvascular complicationsMendelian randomizationSerum uric acid

Identifiers

PMID38890685
PMCPMC11186091

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