The analysis of coffee-green tea-turmeric combination against cardiac-metabolic syndrome using metabolite profiling, gene expression, and in silico approach

Autor: Ermin Rachmawati, Mohammad S. Rohman, Nashi Widodo, Mifetika Lukitasari, Dwi A. Nugroho, Feri E. Hermanto, Mukhamad N. Kholis
Jazyk: English<br />Spanish; Castilian
Rok vydání: 2023
Předmět:
Zdroj: Journal of Pharmacy & Pharmacognosy Research, Vol 11, Iss 6, Pp 961-974 (2023)
Druh dokumentu: article
ISSN: 0719-4250
DOI: 10.56499/jppres23.1702_11.6.961
Popis: Context: The development of functional drinks to inhibit oxidative stress and inflammation as a critical process in inducing heart damage in metabolic syndrome is required. Coffee, tea, and turmeric have all been shown to offer health advantages. Aims: To investigate the effect of coffee, green tea, turmeric extract (ECGTT) against cardiac-metabolic syndrome (MetS). Methods: The secondary metabolites from coffee, green tea, and turmeric were identified using LC-HRMS. Male Sprague–Dawley rats were divided into four groups (n = 4) representing normal, MetS, MetS with ECGTT treatment doses: 300/100/150 mg/BW and 300/100/250 mg/BW group. Upon the end of treatment periods, expression of tumor necrosis factor-alpha (TNFα), interleukin-6 (IL-6), nuclear factor kappa B (NF-κB), NADPH oxidase (NOX2), SERCA2a were measured from the heart. A computational approach including network pharmacology, protein-protein interaction (PPI) network, molecular docking, and dynamic was performed to understand the molecular mechanism of ECGTT against cardiac damage in MetS. Results: Chlorogenic acid (CGA), epigallocatechin gallate (EGCG), and curcumin were identified as the main metabolites in ECGTT. The ECGTT administration decreased the TNFα, IL-6, NF-κB, and NOX2 and increased SERCA2a expression(p
Databáze: Directory of Open Access Journals