Wang Linghuan, Zhang Weiwei, Fang Zhiyi, Lu Tingting, Gu Zhenghui, Sun Ting, Han Dong, Wang Yabin, Cao Feng
Department of Medicine School, Nankai University, 300071 Tianjin, China.
Department of Cardiology, National Research Centre for Geriatric Diseases & National Key Lab for Chronic Kidney Disease & Second Medical Centre of Chinese PLA General Hospital, 100853 Beijing, China.
Rev Cardiovasc Med. 2024 May 30;25(6):199. doi: 10.31083/j.rcm2506199. eCollection 2024 Jun.
The objective of this study is to estimate the causal relationship between plasma proteins and myocardial infarction (MI) through Mendelian randomization (MR), predict potential target-mediated side effects associated with protein interventions, and ensure a comprehensive assessment of clinical safety.
From 3 proteome genome-wide association studies (GWASs) involving 9775 European participants, 331 unique blood proteins were screened and chosed. The summary data related to MI were derived from a GWAS meta-analysis, incorporating approximately 61,000 cases and 577,000 controls. The assessment of associations between blood proteins and MI was conducted through MR analyses. A phenome-wide MR (Phe-MR) analysis was subsequently employed to determine the potential on-target side effects of protein interventions.
Causal mediators for MI were identified, encompassing cardiotrophin-1 (CT-1) (odds ratio [OR] per SD increase: 1.16; 95% confidence interval [CI]: 1.13-1.18; = 1.29 ), Selenoprotein S (SELENOS) (OR: 1.16; 95% CI: 1.13-1.20; = 4.73 ), killer cell immunoglobulin-like receptor 2DS2 (KIR2DS2) (OR: 0.93; 95% CI: 0.90-0.96; = 1.08 ), vacuolar protein sorting-associated protein 29 (VPS29) (OR: 0.92; 95% CI: 0.90-0.94; = 8.05 ), and histo-blood group ABO system transferase (NAGAT) (OR: 1.05; 95% CI: 1.03-1.07; = 1.41 ). In the Phe-MR analysis, memory loss risk was mediated by CT-1, VPS29 exhibited favorable effects on the risk of 5 diseases, and KIR2DS2 showed no predicted detrimental side effects.
Elevated genetic predictions of KIR2DS2 and VPS29 appear to be linked to a reduced risk of MI, whereas an increased risk is associated with CT-1, SELENOS, and NAGAT. The characterization of side effect profiles aids in the prioritization of drug targets. Notably, KIR2DS2 emerges as a potentially promising target for preventing and treating MI, devoid of predicted detrimental side effects.
本研究的目的是通过孟德尔随机化(MR)估计血浆蛋白与心肌梗死(MI)之间的因果关系,预测与蛋白质干预相关的潜在靶点介导的副作用,并确保对临床安全性进行全面评估。
从涉及9775名欧洲参与者的3项蛋白质组全基因组关联研究(GWAS)中,筛选并选择了331种独特的血液蛋白。与MI相关的汇总数据来自一项GWAS荟萃分析,纳入了约61000例病例和577000名对照。通过MR分析评估血液蛋白与MI之间的关联。随后采用全表型MR(Phe-MR)分析来确定蛋白质干预的潜在靶点副作用。
确定了MI的因果介质,包括心肌营养素-1(CT-1)(每标准差增加的优势比[OR]:1.16;95%置信区间[CI]:1.13-1.18;P = 1.29×10⁻¹²)、硒蛋白S(SELENOS)(OR:1.16;95%CI:1.13-1.20;P = 4.73×10⁻⁵)、杀伤细胞免疫球蛋白样受体2DS2(KIR2DS2)(OR:0.93;95%CI:0.90-0.96;P = 1.08×10⁻⁵)、液泡蛋白分选相关蛋白29(VPS29)(OR:0.92;95%CI:0.90-0.94;P = 8.05×10⁻¹²)和组织血型ABO系统转移酶(NAGAT)(OR:1.05;95%CI:1.03-1.07;P = 1.41×10⁻⁴)。在Phe-MR分析中,记忆丧失风险由CT-1介导,VPS29对5种疾病的风险显示出有利影响,KIR2DS2未显示出预测的有害副作用。
KIR2DS2和VPS29的遗传预测升高似乎与MI风险降低有关,而CT-1、SELENOS和NAGAT则与风险增加有关。副作用特征的表征有助于确定药物靶点的优先级。值得注意的是,KIR2DS2成为预防和治疗MI的潜在有前景的靶点,没有预测的有害副作用。