Exploring genetic association of systemic iron status and risk with incidence of diabetic neuropathy.

IF 3.4 3区 医学 Q2 ENDOCRINOLOGY & METABOLISM Diabetology & Metabolic Syndrome Pub Date : 2024-07-25 DOI:10.1186/s13098-024-01418-5
Xinyue Yu, Tianyu Jin, Luyi Zhu, Shunyuan Guo, Binbin Deng, Yifan Cheng
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Abstract

Background: Diabetic neuropathy (DN), a frequent complication in individuals with diabetes mellitus (DM), is hypothesized to have a correlation with systemic iron status, though the nature of this relationship remains unclear. This study employs two-sample Mendelian randomization (MR) analysis to explore this potential genetic association.

Methods: We used genetic instruments significant associated with iron status including serum iron, ferritin, transferrin, and transferrin saturation, derived from an extensive Genome-Wide Association Study (GWAS) undertaken by the Genetics of Iron Status Consortium, involving a cohort of 48,972 European ancestry individuals. Summary statistics for DN were collected from a public GWAS, including 1,415 patients and 162,201 controls of European descent. Our MR analysis used the inverse-variance-weighted (IVW) method, supplemented by MR-Egger, weighted-median (WM) methods, Cochran's Q test, MR-Egger intercept analysis, MR-Pleiotropy Residual Sum and Outlier (MR-PRESSO) method, and leave-one-out analysis to ensure robustness and consistency of the findings.

Results: No genetic causal relationship was found between iron status markers and DN (all IVW p value > 0.05). Interestingly, a causative effect of DN on ferritin (IVW: OR = 0.943, 95% CI = 0.892-0.996, p = 0.035) and transferrin saturation (IVW: OR = 0.941, 95% CI = 0.888-0.998, p = 0.044) emerged. Sensitivity analyses confirmed the absence of significant heterogeneity and horizontal pleiotropy.

Conclusion: While systemic iron status was not found to be causally related to DN, our findings suggest that DN may increase the risk of iron deficiency. These results provide further evidence supporting iron supplementation in patients with DN.

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探究全身铁状况和风险与糖尿病神经病变发病率的遗传关联。
背景:糖尿病神经病变(DN)是糖尿病(DM)患者的一种常见并发症,据推测与全身铁状况有关,但这种关系的性质仍不清楚。本研究采用双样本孟德尔随机分析法(MR)来探讨这种潜在的遗传关联:我们使用了与铁状况显著相关的遗传工具,包括血清铁、铁蛋白、转铁蛋白和转铁蛋白饱和度,这些工具来自铁状况遗传学联合会(Genetics of Iron Status Consortium)开展的一项广泛的全基因组关联研究(Genome-Wide Association Study,GWAS),涉及 48972 名欧洲血统个体。DN的汇总统计数据来自一项公开的GWAS,其中包括1,415名患者和162,201名欧洲血统对照。我们的MR分析采用了逆方差加权(IVW)方法,并辅以MR-Egger、加权中值(WM)方法、Cochran's Q检验、MR-Egger截距分析、MR-Pleiotropy Residual Sum and Outlier(MR-PRESSO)方法和leave-one-out分析,以确保研究结果的稳健性和一致性:结果:铁状态标记与 DN 之间未发现遗传因果关系(所有 IVW p 值均大于 0.05)。有趣的是,DN 对铁蛋白(IVW:OR = 0.943,95% CI = 0.892-0.996,p = 0.035)和转铁蛋白饱和度(IVW:OR = 0.941,95% CI = 0.888-0.998,p = 0.044)有因果关系。敏感性分析证实不存在显著的异质性和水平多向性:我们的研究结果表明,虽然全身铁状况与 DN 没有因果关系,但 DN 可能会增加缺铁的风险。这些结果为 DN 患者补铁提供了进一步的证据。
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来源期刊
Diabetology & Metabolic Syndrome
Diabetology & Metabolic Syndrome ENDOCRINOLOGY & METABOLISM-
CiteScore
6.20
自引率
0.00%
发文量
170
审稿时长
7.5 months
期刊介绍: Diabetology & Metabolic Syndrome publishes articles on all aspects of the pathophysiology of diabetes and metabolic syndrome. By publishing original material exploring any area of laboratory, animal or clinical research into diabetes and metabolic syndrome, the journal offers a high-visibility forum for new insights and discussions into the issues of importance to the relevant community.
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