Evidence mapPaperPMID 42497787Full record

ArticleJournal of Ayurveda and integrative medicine

Antidiabetic potential of a novel hydroxyphenyl-bi-benzopyran-hexol compound from Cassia fistula as an α-amylase inhibitor: Integrated in silico screening and in vitro validation using a nonlinear regression model.

Rajamanickam Baskar, Manoharan Harini, Sikkal Selvaraaju Selvapriya, Thangarasu Hemadevi, Arumugam Rajalakshmi, Kuppuswamy Kavitha, Rengarajulu Puvanakrishnan, Balasubramanian Ramesh

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Article in Journal of Ayurveda and integrative medicine. 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

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8 authors.

Rajamanickam BaskarDepartment of Gunapadam (Pharmacology), Government Siddha Medical College, The Tamil Nadu Dr. MGR Medical University, Chennai, Tamil Nadu, 600032, India.
Manoharan HariniPG and Research Department of Biotechnology, Sri Sankara Arts and Science College, University of Madras, Enathur, Kanchipuram, Tamil Nadu, 631561, India.
Sikkal Selvaraaju SelvapriyaGovernment Siddha Medical College, The Tamil Nadu Dr. MGR Medical University, Chennai, Tamil Nadu, 600032, India.
Thangarasu HemadeviArignar Anna Government Hospital of Indian Medicine, Chennai, Tamil Nadu, 600106, India.
Arumugam RajalakshmiPG and Research Department of Biotechnology, Sri Sankara Arts and Science College, University of Madras, Enathur, Kanchipuram, Tamil Nadu, 631561, India.
Kuppuswamy KavithaPG and Research Department of Microbiology, Sri Sankara Arts and Science College, University of Madras, Enathur, Kanchipuram, Tamil Nadu, 631561, India.
Rengarajulu PuvanakrishnanPG and Research Department of Biotechnology, Sri Sankara Arts and Science College, University of Madras, Enathur, Kanchipuram, Tamil Nadu, 631561, India.
Balasubramanian RameshPG and Research Department of Biotechnology, Sri Sankara Arts and Science College, University of Madras, Enathur, Kanchipuram, Tamil Nadu, 631561, India. Electronic address: ramesh@sankaracollege.edu.in.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDiabetes mellitus is a critically important metabolic disease, causing persistent hyperglycemia. Blood glucose levels can be effectively maintained by inhibiting the activity of α-amylase. α-amylase inhibitors manage postprandial hyperglycemia by delaying carbohydrate digestion.

objectivesIdentification of a potent α-amylase inhibitor from 915 bioactive compounds of Madhumukthi Kudineer Chooranum (MKC) by combining siddha knowledge with computational and experimental methods. MATERIALS AND

methodsMolecular docking of bioactive compounds present in MKC with α-amylase was performed, and the top ten compounds that exhibited binding affinities better than the standard inhibitor acarbose were evaluated for Absorption, Distribution, Metabolism, Excretion, and Toxicity (ADMET) properties, followed by Molecular Dynamics Simulations (MDS). An in vitro enzyme inhibition assay was performed for the top lead for validation of the in silico findings.

resultsLead 2, Hydroxyphenyl-bi-benzopyran-hexol from Cassia fistula demonstrated the stable protein-ligand interaction with a binding energy of -69.70 ± 3.93 kJ/mol. The crude Cassia fistula stem bark extract containing Lead 2 showed 57% inhibition of α-amylase. The IC

conclusionBy integrating traditional siddha knowledge with advanced computational screening and in vitro validation, this study proposed a novel Hydroxyphenyl-bi-benzopyran-hexol compound from Cassia fistula as a promising natural α-amylase inhibitor. However, these findings are to be validated using animal studies before clinical research leading to a novel drug.

Indexed as

Cassia fistulaDiabetes mellitusMolecular dynamics simulationNovel antidiabetic compoundsα-amylase inhibition assayα-amylase inhibitor

Identifiers

PMID42497787
PMCPMC13420717

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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.