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Deciphering metabolomics and lipidomics landscape in zebrafish hypertrophic cardiomyopathy model.
- Source :
-
Scientific reports [Sci Rep] 2024 Sep 19; Vol. 14 (1), pp. 21902. Date of Electronic Publication: 2024 Sep 19. - Publication Year :
- 2024
-
Abstract
- To elucidate the lipidomic and metabolomic alterations associated with hypertrophic cardiomyopathy (HCM) pathogenesis, we utilized cmybpc3-/- zebrafish model. Fatty acid profiling revealed variability of 10 fatty acids profiles, with heterozygous (HT) and homozygous (HM) groups exhibiting distinct patterns. Hierarchical cluster analysis and multivariate analyses demonstrated a clear separation of HM from HT and control (CO) groups related to cardiac remodeling. Lipidomic profiling identified 257 annotated lipids, with two significantly dysregulated between CO and HT, and 59 between HM and CO. Acylcarnitines and phosphatidylcholines were identified as key contributors to group differentiation, suggesting a shift in energy source. Untargeted metabolomics revealed 110 and 53 significantly dysregulated metabolites. Pathway enrichment analysis highlighted perturbations in multiple metabolic pathways in the HM group, including nicotinate, nicotinamide, purine, glyoxylate, dicarboxylate, glycerophospholipid, pyrimidine, and amino acid metabolism. Our study provides comprehensive insights into the lipidomic and metabolomic unique signatures associated with cmybpc3-/- induced HCM in zebrafish. The identified biomarkers and dysregulated pathways shed light on the metabolic perturbations underlying HCM pathology, offering potential targets for further investigation and potential new therapeutic interventions.<br /> (© 2024. The Author(s).)
- Subjects :
- Animals
Lipid Metabolism
Fatty Acids metabolism
Metabolic Networks and Pathways
Metabolome
Zebrafish metabolism
Cardiomyopathy, Hypertrophic metabolism
Cardiomyopathy, Hypertrophic genetics
Cardiomyopathy, Hypertrophic pathology
Metabolomics methods
Lipidomics methods
Disease Models, Animal
Subjects
Details
- Language :
- English
- ISSN :
- 2045-2322
- Volume :
- 14
- Issue :
- 1
- Database :
- MEDLINE
- Journal :
- Scientific reports
- Publication Type :
- Academic Journal
- Accession number :
- 39300306
- Full Text :
- https://doi.org/10.1038/s41598-024-72863-5