基因预测的PD1和心血管疾病的风险

IF 4.2
Wenfei Chen, Kangnan Wang, Jun Chen, Lei Chen
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引用次数: 0

摘要

从遗传学上讲,ICI主要被称为PD-1。我们采用双样本MR分析模型来评估PD1对冠状动脉粥样硬化、心房颤动(AF)、心肌炎、肥厚性心肌病、扩张性心肌病和心力衰竭(HF)等6种心血管疾病的致病影响。在本研究中,IVW模型作为主要的MR方法显示,遗传预测的PD1对冠状动脉粥样硬化(OR, 1.062; 95% CI, 1.031-1.095, p = 6.81E-05)和心肌炎(OR, 1.177; 95% CI, 1.010-1.371, p = 0.037)的风险增加有因果影响。然而,基因预测的PD1并没有显著增加房颤(OR, 1.024; 95% CI, 0.969-1.082, p = 0.398)、心衰(OR, 1.025; 95% CI, 0.971-1.081, p = 0.371)、扩张型心肌病(OR, 0.924; 95% CI, 0.819-1.044, p = 0.207)和肥厚型心肌病(OR, 1.047; 95% CI, 0.838-1.308, p = 0.685)的风险。我们的研究发现,基因预测的PD1对冠状动脉粥样硬化和心肌炎的风险增加有因果影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Genetically Predicted PD1 and the Risk of Cardiovascular Diseases

Genetically Predicted PD1 and the Risk of Cardiovascular Diseases

Genetically speaking, ICI was mainly referred to as PD-1. We utilized a two-sample MR analysis model to assess the causative impact of PD1 on six kinds of CVDs, including coronary atherosclerosis, atrial fibrillation (AF), myocarditis, hypertrophic cardiomyopathy, dilated cardiomyopathy, and heart failure (HF). In this study, the IVW model as the primary MR approach revealed that genetically predicted PD1 has a causal impact on the increased risk of coronary atherosclerosis (OR, 1.062; 95% CI, 1.031–1.095, p = 6.81E-05), as well as myocarditis (OR, 1.177; 95% CI, 1.010–1.371, p = 0.037). However, genetically predicted PD1 does not significantly increase the risk of AF (OR, 1.024; 95% CI, 0.969–1.082, p = 0.398), HF (OR, 1.025; 95% CI, 0.971–1.081, p = 0.371), dilated cardiomyopathy (OR, 0.924; 95% CI, 0.819–1.044, p = 0.207), and hypertrophic cardiomyopathy (OR, 1.047; 95% CI, 0.838–1.308, p = 0.685). Our study found that genetically predicted PD1 has a causal impact on the increased risk of coronary atherosclerosis and myocarditis.

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来源期刊
CiteScore
11.50
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0.00%
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期刊介绍: The Journal of Cellular and Molecular Medicine serves as a bridge between physiology and cellular medicine, as well as molecular biology and molecular therapeutics. With a 20-year history, the journal adopts an interdisciplinary approach to showcase innovative discoveries. It publishes research aimed at advancing the collective understanding of the cellular and molecular mechanisms underlying diseases. The journal emphasizes translational studies that translate this knowledge into therapeutic strategies. Being fully open access, the journal is accessible to all readers.
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