Evidence map›Paper›PMID 41893349›Full record

ReviewMetabolites2026

Metabolomic Profiling of Tyrosine Kinase Inhibitor-Induced Endothelial Dysfunction and Cardiovascular Toxicity.

Gurkaranvir Singh, Inderjeet Bharaj, Joey Bettencourt, Amarjit Kaur Sekhon, Gurparvesh Singh, Aaron Sidhu, Emanuel Zayas Diaz, Sulaiman Paika, Ariel De Leon, Ajit Brar and 3 more

Abstract readReview
In one paragraph

Review in Metabolites, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors.

Gurkaranvir SinghDepartment of Medicine, School of Medicine, Creighton University, Phoenix, AZ 85012, USA.
Inderjeet BharajDepartment of Medicine, Abrazo Health Network, Glendale, AZ 85308, USA.ORCID 0000-0002-7253-3346
Joey BettencourtDepartment of Medicine, Abrazo Health Network, Glendale, AZ 85308, USA.
Amarjit Kaur SekhonDepartment of Medicine, Abrazo Health Network, Glendale, AZ 85308, USA.
Gurparvesh SinghDepartment of Medicine, School of Medicine, Creighton University, Phoenix, AZ 85012, USA.
Aaron SidhuDepartment of Hematology and Oncology, Cleveland Clinic Weston Hospital, Weston, FL 33331, USA.
Emanuel Zayas DiazDepartment of Medicine, Abrazo Health Network, Glendale, AZ 85308, USA.
Sulaiman PaikaDepartment of Medicine, Abrazo Health Network, Glendale, AZ 85308, USA.
Ariel De LeonDepartment of Medicine, Abrazo Health Network, Glendale, AZ 85308, USA.
Ajit BrarDepartment of Medicine, Hurley Medical Center, Michigan State University, Flint, MI 48503, USA.ORCID 0000-0002-5317-3357
Gursimran BrarDepartment of Medicine, Punjab Institute of Medical Sciences and Research, Jalandhar 144001, Punjab, India.
Inderbir PaddaDepartment of Internal Medicine, Richmond University Medical Center/Mount Sinai, Staten Island, NY 10310, USA.
Ambar AndradeDepartment of Cardiology, Banner University Medical Center, University of Arizona, Phoenix, AZ 85004, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTyrosine 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.

methodsWe 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.

conclusionsMetabolomic 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.

Indexed as

cardiotoxicityendothelial dysfunctionL-carnitinemetabolomicstyrosine kinase inhibitors

Identifiers

PMID41893349
PMCPMC13029070

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.