Abstract
Heart failure is the prevalent complication of acute myocardial infarction. We aim to identify a biomarker for heart failure post-acute myocardial infarction. This observational study includes 1062 and 1043 patients with acute myocardial infarction in the discovery and validation cohorts, respectively. The outcomes are in-hospital and long-term heart failure events. S100A8/A9 is screened out through proteomic analysis, and elevated circulating S100A8/A9 is independently associated with heart failure in discovery and validation cohorts. Furthermore, the predictive value of S100A8/A9 is superior to the traditional biomarkers, and the addition of S100A8/A9 improves the risk estimation using traditional risk factors. We finally report causal effect of S100A8/A9 on heart failure in three independent cohorts using Mendelian randomization approach. Here, we show that S100A8/A9 is a predictor and potentially causal medicator for heart failure post-acute myocardial infarction.
| Original language | English (US) |
|---|---|
| Article number | 2701 |
| Journal | Nature communications |
| Volume | 15 |
| Issue number | 1 |
| DOIs | |
| State | Published - Dec 2024 |
Funding
We appreciate all the patients who participated and thank Dr. Jian Cui (Shanghai BioGenius Biotechnology Co., Ltd.) for providing bioinformatics assistance. We thank Dr. Jie Zhao (School of Public Health, University of Hong Kong) and Dr. Lan Liu (School of Statistics, University of Minnesota, Twin Cities) for their assistance on statistics. This study was funded by the National Science Foundation of China (82230013, 81770245, 81970215 to YL.L), Key Laboratory of Remodeling-Related Cardiovascular Diseases, Ministry of Education, China, Beijing Municipal Public Welfare Development and Reform Pilot Project for Medical Research Institutes (JYY2023-9), Beijing Municipal Health Commission (11000023T000002039525), and Beijing Hospitals Authority’s Ascent Plan. We appreciate all the patients who participated and thank Dr. Jian Cui (Shanghai BioGenius Biotechnology Co., Ltd.) for providing bioinformatics assistance. We thank Dr. Jie Zhao (School of Public Health, University of Hong Kong) and Dr. Lan Liu (School of Statistics, University of Minnesota, Twin Cities) for their assistance on statistics. This study was funded by the National Science Foundation of China (82230013, 81770245, 81970215 to YL.L), Key Laboratory of Remodeling-Related Cardiovascular Diseases, Ministry of Education, China, Beijing Municipal Public Welfare Development and Reform Pilot Project for Medical Research Institutes (JYY2023-9), Beijing Municipal Health Commission (11000023T000002039525), and Beijing Hospitals Authority’s Ascent Plan.
ASJC Scopus subject areas
- General Chemistry
- General Biochemistry, Genetics and Molecular Biology
- General Physics and Astronomy