Evidence map›Paper›PMID 39702870›Full record

ArticleMetabolomics : Official journal of the Metabolomic Society2024

Variations in metabolite fingerprints of Tinospora species targeting metabolic disorders: an integrated metabolomics and network pharmacology approach.

Chigateri M Vinay, Kannath U Sanjay, Manjunath B Joshi, Padmalatha S Rai

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Article in Metabolomics : Official journal of the Metabolomic Society, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

Authors and funding

4 authors.

Chigateri M VinayDepartment of Biotechnology, Manipal School of Life Sciences, Manipal Academy of Higher Education, Manipal, India.
Kannath U SanjayDepartment of Biotechnology, Manipal School of Life Sciences, Manipal Academy of Higher Education, Manipal, India.
Manjunath B JoshiDepartment of Ageing Research, Manipal School of Life Sciences, Manipal Academy of Higher Education, Manipal, India.
Padmalatha S RaiDepartment of Biotechnology, Manipal School of Life Sciences, Manipal Academy of Higher Education, Manipal, India. padmalatha.rai@manipal.edu.ORCID http://orcid.org/0000-0001-7159-0560

Funding

Department of Biotechnology, Ministry of Science and Technology, India BT/PR15963/TRM/120/83/2016Indian Council of Medical Research 45/01/2022/TRM/BMS
6 · The paper itself

Abstract

introductionMetabolic disorders are a global health concern, necessitating the development of drugs with fewer side effects and more efficacy. Traditional Indian medicine uses Tinospora cordifolia and Tinospora sinensis, but their metabolite fingerprints and impact on geographical location remains unknown.

objectiveThe present study aimed to identify metabolite fingerprints from T. cordifolia and T. sinensis species from different geographic locations and also to identify potential quality markers for treating metabolic disorders.

methodsNon-targeted metabolite fingerprinting of T. cordifolia and T. sinensis was performed using HPLC-QTOF-MS/MS analysis. Network pharmacology, molecular docking and molecular dynamics simulation analysis were performed to identify potential quality markers, hub targets, and key pathways associated with metabolic disorders.

resultsIn this study, six potential marker compounds and twenty-five differential compounds were identified between T. cordifolia and T. sinensis. Based on geography, five and one metabolite marker compounds were identified in T. cordifolia and T. sinensis respectively. Network pharmacology, molecular docking, and molecular dynamics simulation analysis revealed trans piceid, crustecdysone in T. cordifolia, and gallic acid in T. sinensis as potential quality markers against metabolic disorder related hub targets.

conclusionIntegration of non-targeted metabolomics and network pharmacology approach deciphers the pharmacological mechanism of action in terms of identifying potential quality markers from Tinospora species that can be used against metabolic disorders. However, further research is required to validate these findings in in vitro and in vivo studies for better assertion.

Indexed as

Metabolic DiseasesMetabolomicsMolecular Docking SimulationNetwork PharmacologyTinosporaBiomarkersChromatography, High Pressure LiquidHumansMetabolomeMolecular Dynamics SimulationPlant ExtractsTandem Mass SpectrometryBiomarkersPlant ExtractsHPLC-QTOF-MS/MSMetabolic disordersMolecular dockingNetwork pharmacologyT. cordifoliaT. sinensis

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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 Socratic graph.