Deciphering metabolomics and lipidomics landscape in zebrafish hypertrophic cardiomyopathy model

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.

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Publication Details

Journal
Scientific Reports
Published
2024-09-19
DOI
https://doi.org/10.1038/s41598-024-72863-5
Citations
2
Primary Topic
Physiological and biochemical adaptations
Type
article
Field-Weighted Citation Impact
0.92

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article

Deciphering metabolomics and lipidomics landscape in zebrafish hypertrophic cardiomyopathy model

Michail Nomikos, Rulan Shaath, Khalid A. Fakhro, Shana Jacob et al.
2 citations
Scientific Reports
Physiological and biochemical adaptations
0.92
article

Deciphering metabolomics and lipidomics landscape in zebrafish hypertrophic cardiomyopathy model

Michail Nomikos, Rulan Shaath, Khalid A. Fakhro, Shana Jacob, Sahar Isa Da'as, Doua Abdelrahman, Mohamed A. Elrayess, Waseem Hasan, Saroja Kotegar Balayya, Tala Abuarja, Khalid Almana, Ahmad Fadzil Mohamad Hani, Hajira Afreen
article en
2 citations

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.

Scientific ReportsVol. 14(1)
Qatar Airways (Qatar) (QA), Swansea University (GB), Sidra Medical and Research Center (QA), Hamad bin Khalifa University (QA), Weill Cornell Medical College in Qatar (QA), Qatar University (QA)
Sidra Medicine, Hamad Bin Khalifa University, Khalifa University of Science, Technology and Research
Openalex Percentile: Top 23%
Physiological and biochemical adaptations
0.92
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