Causal relationship between dyslipidemia and diabetic neuropathy: a mendelian randomization study.

IF 3.2 3区 医学 Q2 ENDOCRINOLOGY & METABOLISM
Cong Li, Yu Feng, Lina Feng, Mingquan Li
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引用次数: 0

Abstract

Some studies have shown an association between dyslipidemia and diabetic neuropathy (DN), but the genetic association has not been clarified. Therefore, the present study aimed to investigate the genetic causal association between dyslipidemia and DN through a Mendelian randomization (MR) approach. Genetic causal associations between total cholesterol (TC), triglyceride (TG), low-density lipoprotein cholesterol (LDL), and high-density lipoprotein cholesterol (HDL) and DN were investigated by MR to provide a basis for the prevention and treatment of DN. Significant and independent single-nucleotide polymorphisms (SNPs) identified in genome-wide association studies were selected as instrumental variables (IVs) for MR analysis. Inverse variance weighted (IVW), MR‒Egger regression, weighted median (WME), simple mode (SM), and weighted mode (WM) methods were used to analyze causal associations. Heterogeneity and multiplicity tests were also performed and analyzed using the leave-one-out method to assess the stability of the results. Genetically predicted TC and DN (OR = 0.793, 95% CI = 0.655⁓0.961, P = 0.019) and LDL and DN (OR = 0.842, 95% CI = 0.711⁓0.998, P = 0.049) may be causally associated, but no causal associations were found between TG and DN (OR = 0.837, 95% CI = 0.631⁓1.111, P = 0.221) or between HDL and DN (OR = 1.192, 95% CI = 0.940⁓1.510, P = 0.149). TC and LDL may have genetic causal associations with DN, though no genetic causal associations were found for TG or HDL with DN. However, this study may have several limitations, and further clinical studies are needed to expand the sample size for future validation.

血脂异常与糖尿病性神经病变的因果关系:一项孟德尔随机研究。
一些研究表明血脂异常与糖尿病性神经病变(DN)之间存在关联,但其遗传关系尚未明确。因此,本研究旨在通过孟德尔随机化(MR)方法研究血脂异常与DN之间的遗传因果关系。通过MR研究总胆固醇(TC)、甘油三酯(TG)、低密度脂蛋白胆固醇(LDL)、高密度脂蛋白胆固醇(HDL)与DN的遗传因果关系,为DN的防治提供依据。选择在全基因组关联研究中发现的显著且独立的单核苷酸多态性(snp)作为MR分析的工具变量(IVs)。采用反方差加权(IVW)、MR-Egger回归、加权中位数(WME)、简单模式(SM)和加权模式(WM)方法分析因果关系。还进行了异质性和多重性检验,并使用留一法进行分析,以评估结果的稳定性。遗传预测TC与DN (OR = 0.793, 95% CI = 0.655⁓0.961,P = 0.019)、LDL与DN (OR = 0.842, 95% CI = 0.711⁓0.998,P = 0.049)可能存在因果关系,但TG与DN (OR = 0.837, 95% CI = 0.631⁓1.111,P = 0.221)、HDL与DN (OR = 1.192, 95% CI = 0.940⁓1.510,P = 0.149)之间无因果关系。TC和LDL可能与DN有遗传因果关系,但TG或HDL与DN没有遗传因果关系。然而,本研究可能存在一些局限性,需要进一步的临床研究来扩大样本量,以供未来验证。
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来源期刊
Metabolic brain disease
Metabolic brain disease 医学-内分泌学与代谢
CiteScore
5.90
自引率
5.60%
发文量
248
审稿时长
6-12 weeks
期刊介绍: Metabolic Brain Disease serves as a forum for the publication of outstanding basic and clinical papers on all metabolic brain disease, including both human and animal studies. The journal publishes papers on the fundamental pathogenesis of these disorders and on related experimental and clinical techniques and methodologies. Metabolic Brain Disease is directed to physicians, neuroscientists, internists, psychiatrists, neurologists, pathologists, and others involved in the research and treatment of a broad range of metabolic brain disorders.
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