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Association between Human Blood Proteome and the Risk of Myocardial Infarction.
Wang, Linghuan; Zhang, Weiwei; Fang, Zhiyi; Lu, Tingting; Gu, Zhenghui; Sun, Ting; Han, Dong; Wang, Yabin; Cao, Feng.
  • Wang L; Department of Medicine School, Nankai University, 300071 Tianjin, China.
  • Zhang W; 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.
  • Fang Z; Department of Medicine School, Nankai University, 300071 Tianjin, China.
  • Lu T; 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.
  • Gu Z; Department of Medicine School, Nankai University, 300071 Tianjin, China.
  • Sun T; 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.
  • Han D; Department of Medicine School, Nankai University, 300071 Tianjin, China.
  • Wang Y; 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.
  • Cao F; Chinese PLA Medical College & Department of Cardiology, National Clinic Research Center Geriatric Disease, 2nd Medical Center of Chinese PLA General Hospital, 100853 Beijing, China.
Rev Cardiovasc Med ; 25(6): 199, 2024 Jun.
Article en En | MEDLINE | ID: mdl-39076342
ABSTRACT

Background:

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.

Methods:

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.

Results:

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; p = 1.29 × 10 - 31 ), Selenoprotein S (SELENOS) (OR 1.16; 95% CI 1.13-1.20; p = 4.73 × 10 - 24 ), killer cell immunoglobulin-like receptor 2DS2 (KIR2DS2) (OR 0.93; 95% CI 0.90-0.96; p = 1.08 × 10 - 5 ), vacuolar protein sorting-associated protein 29 (VPS29) (OR 0.92; 95% CI 0.90-0.94; p = 8.05 × 10 - 13 ), and histo-blood group ABO system transferase (NAGAT) (OR 1.05; 95% CI 1.03-1.07; p = 1.41 × 10 - 5 ). 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.

Conclusions:

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.
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