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Assessment of Resistance to Tyrosine Kinase Inhibitors by an Interrogation of Signal Transduction Pathways by Antibody Arrays
Published on: September 19, 2018
Metabolomic Profiling of Tyrosine Kinase Inhibitor-Induced Endothelial Dysfunction and Cardiovascular Toxicity
Gurkaranvir Singh1, Inderjeet Bharaj2, Joey Bettencourt2
1Department of Medicine, School of Medicine, Creighton University, Phoenix, AZ 85012, USA.
Background:
Tyrosine kinase inhibitors (TKIs) have transformed cancer therapy; however, they are associated with cardiovascular toxicity. Metabolomics provides a comprehensive framework for identifying early biochemical disruptions that precede clinical manifestations and for formulating mechanism-based intervention strategies.
Methods:
We conducted a narrative synthesis of published preclinical and translational studies on TKI cardiotoxicity, focusing on untargeted and targeted metabolomic findings and complementary proteomic and transcriptomic data. Functional validation was performed using rodent and cellular models. Mechanistic themes were identified, and implications for biomarker panels, multi-omic integration, and metabolomics-guided interventions were proposed.
Conclusions:
Metabolomic analyses of various TKIs identified convergent signatures along three interconnected axes: (1) mitochondrial bioenergetic dysfunction characterized by impaired long-chain fatty acid oxidation and adenylate depletion; (2) disruption of endothelial nitric oxide signaling with redox imbalance, including increased nitrotyrosine, Nox activation, and eNOS uncoupling; and (3) an inflammatory metabolic profile marked by elevated branched-chain and aromatic amino acids, creatine, and osmolytes. Rodent models of sunitinib and sorafenib replicate these signatures and demonstrate histological injury, contractile dysfunction, and fibrosis. Preclinical intervention data, particularly restoration of myocardial carnitine, AMPK signaling, and fatty acid oxidation by L-carnitine, provide proof of concept for metabolomics-guided cardioprotection. Metabolomics can identify mechanistic biomarkers that facilitate the early detection, risk stratification, and targeted prevention of TKI-induced cardiovascular injury. Translation into precision cardio-oncology requires prospective validation, standardized assays, and biomarker-driven interventional trials.
Insights
Metabolomics reveals key biochemical changes in tyrosine kinase inhibitor (TKI) cardiotoxicity, including mitochondrial dysfunction and inflammation. L-carnitine shows promise in preventing TKI-induced cardiovascular injury.
Area of Science:
- Cardio-oncology
- Metabolomics
- Biochemistry
Background:
- Tyrosine kinase inhibitors (TKIs) are vital cancer treatments but cause cardiovascular toxicity.
- Metabolomics offers a way to detect early biochemical changes and guide interventions.
Purpose of the Study:
- To synthesize metabolomic, proteomic, and transcriptomic data on TKI cardiotoxicity.
- To identify mechanistic themes and propose metabolomics-guided interventions.
Main Methods:
- Narrative synthesis of preclinical and translational studies.
- Focus on untargeted and targeted metabolomic findings.
- Functional validation in rodent and cellular models.
Main Results:
- Convergent metabolomic signatures of TKI cardiotoxicity identified: mitochondrial dysfunction, disrupted nitric oxide signaling, and inflammation.
- Rodent models confirmed these signatures and showed histological/functional injury.
- L-carnitine intervention restored myocardial function and fatty acid oxidation.
Conclusions:
- Metabolomics can identify biomarkers for early detection and prevention of TKI cardiotoxicity.
- Metabolomics-guided cardioprotection is feasible.
- Prospective validation is needed for precision cardio-oncology.
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