ArticleJournal of geriatric cardiology : JGC2019
The value of serum metabolomics analysis in predicting the response to cardiac resynchronization therapy.
Article in Journal of geriatric cardiology : JGC, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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3 citing papers in PubMed, 3 citations in OpenAlex.
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- High-resolution metabolomic biomarkers for lung cancer diagnosis and prognosis.Scientific reports · 2021Article
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Authors and funding
8 authors at 3 institutions in 1 country.
Funding
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Abstract
objectiveTo construct a prediction model based on metabolic profiling for predicting the response to cardiac resynchronization therapy (CRT).
methodsPeripheral venous (PV) and coronary sinus (CS) blood samples were collected from 25 patients with heart failure (HF) at the time of CRT implantation, and PV blood samples were obtained from ten healthy controls. The serum samples were analyzed by liquid chromatography-mass spectrometry (LC-MS). As per the clinical and echocardiographic assessment at the 6-month follow-up, the HF patients were categorized as CRT responders and non-responders.
resultsHF patients had altered serum metabolomic profiles that were significantly different from those of the healthy controls. Differential metabolites were also observed between CRT responders and non-responders. A prediction model for CRT response (CRT-Re) was constructed using the concentration levels of the differential metabolites, L-arginine and taurine. The optimal cutoff value of the CRT-Re model was found to be 0.343 by ROC analysis (sensitivity, 88.2%; specificity, 87.5%; Area under curve (AUC) = 0.897,
conclusionsOur results suggest that serum-based metabolic profiling may be a potential complementary screening tool for predicting the outcome of CRT.
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