2023
DOI: 10.18632/aging.205061
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Causal association between placental growth factor and coronary heart disease: a Mendelian randomization study

Bo Zuo,
Sha Zhu,
Guoting Zhong
et al.

Abstract: Objective: Placental growth factor (PlGF), an important polypeptide hormone, plays an important regulatory role in various physiological processes. Observational studies have shown that PlGF is associated with the risk of coronary heart disease (CHD). However, the causal association between PlGF and CHD is unclear at present. This study aimed to investigate the causal association between genetically predicted PlGF levels and CHD. Methods: Single nucleotide polymorphisms (SNPs) associated with PlGF were selecte… Show more

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Cited by 4 publications
(2 citation statements)
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“…On the other hand, it enhances the risk of plaque rupture by recruiting monocytes, improving foam cell formation, and triggering inflammatory responses [ 59 , 60 ]. Consistent with our findings, an MR study conducted by Zuo et al [ 61 ] revealed an inverse relationship between PGF levels and the risk of coronary heart disease (CHD) and myocardial infarction (MI). Furthermore, clinical evidence suggests that a rapid elevation in serum PGF levels following MI correlates positively with subsequent improvement in left ventricular function [ 62 ].…”
Section: Discussionsupporting
confidence: 92%
“…On the other hand, it enhances the risk of plaque rupture by recruiting monocytes, improving foam cell formation, and triggering inflammatory responses [ 59 , 60 ]. Consistent with our findings, an MR study conducted by Zuo et al [ 61 ] revealed an inverse relationship between PGF levels and the risk of coronary heart disease (CHD) and myocardial infarction (MI). Furthermore, clinical evidence suggests that a rapid elevation in serum PGF levels following MI correlates positively with subsequent improvement in left ventricular function [ 62 ].…”
Section: Discussionsupporting
confidence: 92%
“…Mendelian randomization (MR) is an analytical method employing single nucleotide polymorphisms (SNPs) as instrumental variables (IVs) to assess causal relationships between exposures and outcomes (12). As genetic variants are assigned randomly at conception, MR circumvents confounding factors and reverse causality, common issues in traditional observational studies (13).…”
Section: Introductionmentioning
confidence: 99%