Evidence map›Paper›PMID 38784169›Full record

ArticleFrontiers in cardiovascular medicine2024

Evaluation of bi-directional causal association between obstructive sleep apnoea syndrome and diabetic microangiopathy: a Mendelian randomization study.

Qianqian Liu, Xingyu Chang, Rongna Lian, Qi Chen, Jialei Wang, Songbo Fu

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Article in Frontiers in cardiovascular medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed
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3 · Its place in the literature

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2 citing papers in PubMed.

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5 · Who and what money

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6 authors.

Qianqian Liu *Department of Endocrinology, First Hospital of Lanzhou University, Lanzhou, Gansu, China.
Xingyu Chang *Department of Gynecology, Obstetrics and Gynecology Hospital, Fudan University, Shanghai, China.
Rongna Lian *Center of Gerontology and Geriatrics, West China Hospital, Sichuan University, Chengdu, China.
Qi ChenDepartment of Endocrinology, First Hospital of Lanzhou University, Lanzhou, Gansu, China.
Jialei WangDepartment of Endocrinology, First Hospital of Lanzhou University, Lanzhou, Gansu, China.
Songbo FuDepartment of Endocrinology, First Hospital of Lanzhou University, Lanzhou, Gansu, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The relationship between obstructive sleep apnea syndrome (OSAS) and diabetic microangiopathy remains controversial. Objective: This study aimed to use bidirectional two-sample Mendelian Randomization (MR) to assess the causal relationship between OSAS and diabetic microangiopathy. Methods: First, we used the Linkage Disequilibrium Score Regression(LDSC) analysis to assess the genetic correlation. Then, the bidirectional two-sample MR study was conducted in two stages: OSAS and lung function-related indicators (forced vital capacity (FVC) and forced expiratory volume in 1 s (FEV1)) were investigated as exposures, with diabetic microangiopathy as the outcome in the first stage, and genetic tools were used as proxy variables for OSAS and lung function-related measures in the second step. Genome-wide association study data came from the open GWAS database. We used Inverse-Variance Weighted (IVW), MR-Egger regression, Weighted median, Simple mode, and Weighted mode for effect estimation and pleiotropy testing. We also performed sensitivity analyses to test the robustness of the results. Furthermore, we performed multivariate and mediation MR analyses. Results: In the LDSC analysis, We found a genetic correlation between OSAS, FVC, FEV 1, and diabetic microangiopathy. In the MR analysis, based on IVW analysis, genetically predicted OSAS was positively correlated with the incidence of diabetic retinopathy (DR), diabetic kidney disease (DKD), and diabetic neuropathy (DN). In the subgroup analysis of DR, there was a significant causal relationship between OSAS and background diabetic retinopathy (BDR) and proliferative diabetic retinopathy (PDR). The reverse MR did not show a correlation between the incidence of diabetic microangiopathy and OSAS. Reduced FVC had a potential causal relationship with increased incidence of DR and PDR. Reduced FEV1 had a potential causal relationship with the increased incidence of BDR, PDR, and DKD. Multivariate MR analysis showed that the association between OSAS and diabetic microangiopathy remained significant after adjusting for confounding factors. However, we did not find the significant mediating factors. Conclusion: Our results suggest that OSAS may be a cause of the development of diabetic microangiopathy, and OSAS may also be associated with a high risk of diabetic microangiopathy, providing a reference for a better understanding of the prevention of diabetic microangiopathy.

Indexed as

diabetic microangiopathyforced expiratory volume in 1 sforced vital capacityMendelian randomizationobstructive sleep apnea syndrome

Identifiers

PMID38784169
PMCPMC11112003

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