Victor Arokia Doss, D and Dharaniyambigai, KUBERAPANDIAN (2022) Identification of Metabolite Shifts and Early Serum Predictors for Indicators of Remodelling in Diabetes and Nondiabetic Models of Cardiac Hypertrophy. Journal of Medical Sciences, XX (X). pp. 1-11. ISSN J Med Sci 2022; (X):1-11

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Abstract

Cardiac hypertrophy (CH) is the asymptomatic enlargement of ventricular walls witnessed in diabetes and
hypertension, for which early metabolite differences and prediction are less stated previously. Aim: The aim of the study
was (i) to understand the metabolic and ventricular events in diabetes and nondiabetes induced CH at the end of 2 weeks
and (ii) to identify significant metabolite predictors and pathways that influence the seven metabolic and physiological
responders of CH, namely, 3-hydroxybutyrate (3-HB); lactic acid; urea; and electrocardiography (ECG) waves (QRS
complex, R amplitude, R-R interval, and heart rate). Methods: Diabetic rat models of CH using streptozotocin (40 mg/kg,
i. p., single dose), and nondiabetic models using adrenaline (0.3 mg/kg, i. p, 2 weeks) were developed. Blood glucose levels,
ECG, heart weight/body weight ratio, histopathological analysis, and serum metabolite analysis using gas chromatography
mass spectrometry were performed at the end of 2 weeks. Strong metabolite predictors and pathways were identified using
Pearson’s correlation, multiple regression (MRA) and metabolite set enrichment (MSEA) analyses. Results: The prevalence
of CH was observed through preliminary screenings at the end of 2 weeks. Galactose, leucine, erythrose, sorbitol, and
valine were identified as significant (P < 0.05) predictors in SZ model, whereas isoleucine, galactose, leucine, inositol,
and palmitic acid were identified in ADR model. However, galactose metabolism, branched‑chain amino acid, and lactose
degradation pathways were mapped as the highly influential apparent pathways during early CH remodeling in both the
models. Conclusion: This study identified putative initial metabolite shifts, significant predictors pathways that can aid in
forecasting, intervention, and prevention of CH.

Item Type: Article
Uncontrolled Keywords: Cardiac hypertrophy, diabetes, adrenaline, gas chromatography mass spectrometry, early predictors.
Depositing User: Mr Team Mosys
Date Deposited: 12 Aug 2022 03:31
Last Modified: 12 Aug 2022 04:05
URI: http://ir.psgcas.ac.in/id/eprint/1445

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