| Literature DB >> 33115406 |
Zhuo Wang1, Fangkun Yang1, Menghuai Ma1, Qinyi Bao1, Jinlian Shen1, Feiming Ye1, Xiaojie Xie2.
Abstract
BACKGROUND: Growth differentiation factor 15 (GDF-15), a stress responsive cytokine, belongs to transforming growth factor β cytokine superfamily. Some evidence support that it's involved in inflammation, coagulation, oxidative stress, endothelial dysfunction, and hemostasis. However, it's still controversial whether GDF-15 directly contributes to the morbidity and mortality of patients suffered with cardiovascular disease (CVD). Besides prospective cohort study and randomized controlled trial, Mendelian randomization (MR) is a genetic epidemiological method that exploits genetic variants as unbiased proxies for modifiable to determine the causal relationships between exposures and health outcomes. Herein, we introduced a two-sample MR approach to evaluate the causal relationships of circulating GDF-15 levels with major CVDs incidence.Entities:
Keywords: Atrial fibrillation; Cardioembolic stroke; Cardiovascular diseases; Coronary artery disease; Growth differentiation factor 15; Mendelian randomization; Myocardial infarction
Year: 2020 PMID: 33115406 PMCID: PMC7594331 DOI: 10.1186/s12872-020-01744-2
Source DB: PubMed Journal: BMC Cardiovasc Disord ISSN: 1471-2261 Impact factor: 2.298
Fig. 1Forest plot of the relationship between GDF-15 and 9 CVDs. Data are reported as OR (odd ratio) and 95% CI ( confidence interval). AIS any ischemic stroke, CES cardioembolic stroke, LAS large-artery atherosclerotic stroke, SVS small vessel stroke, AF atrial fibrillation, HF heart failure, NICM nonischemic cardiomyopathy, CAD coronary artery disease, MI myocardial infarction
Results from two-sample MR analysis using 3 genetic instruments of GDF-15
| Outcome | IVW | Weighted median | MR-Egger | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| Estimate | SE | Estimate | SE | Estimate | SE | Intercept | |||||
| CES | 0.091 | 0.043 | 0.035 | 0.111 | 0.053 | 0.036 | 0.154 | 0.150 | 0.304 | − 0.017 | 0.660 |
| AIS | 0.024 | 0.022 | 0.268 | 0.022 | 0.027 | 0.409 | 0.104 | 0.077 | 0.175 | − 0.021 | 0.279 |
| LAS | − 0.007 | 0.055 | 0.898 | − 0.013 | 0.062 | 0.829 | − 0.033 | 0.189 | 0.862 | 0.007 | 0.886 |
| SVS | − 0.037 | 0.051 | 0.464 | − 0.037 | 0.057 | 0.523 | 0.030 | 0.177 | 0.86 | − 0.018 | 0.689 |
| AF | 0.031 | 0.016 | 0.043 | 0.032 | 0.018 | 0.078 | 0.024 | 0.054 | 0.661 | 0.002 | 0.884 |
| HF | − 0.008 | 0.018 | 0.660 | 0.012 | 0.023 | 0.589 | 0.002 | 0.072 | 0.973 | − 0.003 | 0.881 |
| NICM | 0.117 | 0.072 | 0.102 | 0.106 | 0.084 | 0.204 | 0.207 | 0.249 | 0.406 | − 0.024 | 0.708 |
| CAD | − 0.065 | 0.026 | 0.013 | − 0.062 | 0.029 | 0.032 | − 0.010 | 0.101 | 0.921 | − 0.015 | 0.569 |
| MI | − 0.063 | 0.024 | 0.009 | − 0.063 | 0.028 | 0.024 | − 0.097 | 0.084 | 0.249 | 0.009 | 0.671 |
Data are reported as OR and 95% CI
SE Std error, AIS any ischemic stroke, CES cardioembolic stroke, LAS large-artery atherosclerotic stroke, SVS small vessel stroke, AF atrial fibrillation, HF heart failure, NICM nonischemic cardiomyopathy, CAD coronary artery disease, MI myocardial infarction