Screening Myocardial Protective Peptides from Bovine Myocardium Hydrolysates: A Peptidomics-Activity Guided Strategy Integrating Fractionated Extraction, Multivariate Analysis, and Random Forest
This study aimed to investigate the protective effects of bovine myocardium hydrolysates prepared from different protein fractions on H<sub>2</sub>O<sub>2</sub>-induced myocardial injury in H9c2 cells and to develop an effective way to explore potential myocardial protective peptides. Results showed that, as compared with bovine heart and its water-soluble protein fraction, myocardium hydrolysate prepared from salt-soluble protein fraction demonstrated better myocardial protective activity, significantly increasing cell viability and activities of antioxidant enzymes (SOD and CAT), while reducing contents of myocardial injury markers (LDH, CK-MB, and cTnT). Ten novel myocardial protective peptides (FR, LK, LPF, RVL, SLL, FDIF, FQPS, GLPPILN, SEAPPHIF, and TEAPLNPK) were identified following a peptidomics-activity guided strategy integrating multivariate analysis and a random forest model. Molecular docking analysis revealed potential molecular mechanisms that might act on myocardial injury-related targets such as AKT1, STAT3, and MMP9. This study may provide insights for the rapid identification of food-derived myocardial protective peptides.
Authors
- Minzhi Zhou
- Lin Ping Zheng (ORCID: https://orcid.org/0000-0001-5617-5895)
- Wen Li (ORCID: https://orcid.org/0000-0002-2338-759X)
- Mouming Zhao (ORCID: https://orcid.org/0000-0003-0221-3838)
Institutions
- Jiangsu University (CN)
- South China University of Technology (CN)
Publication Details
- Journal
- Journal of Agricultural and Food Chemistry
- Published
- 2025-09-12
- DOI
- https://doi.org/10.1021/acs.jafc.5c08886
- Citations
- 2
- Primary Topic
- Machine Learning in Bioinformatics
- Type
- article
- Field-Weighted Citation Impact
- 1.61