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J Herbmed Pharmacol. 2025;14(4): 405-416.
doi: 10.34172/jhp.2025.52810
  Abstract View: 22
  PDF Download: 14

Original Article

Impact of bio-computational tools for early detection of competent drug possibilities from Zingiber officinale Roscoe against adiponectin protein of type 2 diabetes mellitus and cardiovascular disease

Chandra Sekhar Tripathy 1 ORCID logo, Santosh Kumar Behera 2* ORCID logo, Sagarika Parida 1* ORCID logo

1 Department of Botany, School of Applied Sciences, Centurion University of Technology and Management, Odisha, India
2 Central Instrumentation Facility, National Institute of Pharmaceutical Education and Research, Ahmedabad, Gujarat, India
*Corresponding Authors: Santosh Kumar Behera, Email: bioinfo.santosh@gmail.com; Sagarika Parida, Email: sagarika.parida@cutm.ac.in

Abstract

Introduction: Dysbiosis of adiponectin is linked with an unhealthy gut microbiome resulting a decrease in the amount of adiponectin that induces type 2 diabetes mellitus (T2DM), obesity, dyslipidemia, thrombophilia, and cardiovascular disease (CVD). CVD, particularly stroke and heart attacks, is the prime reason for death among T2DM patients due to lower amounts of adiponectin, expressed by the gene ADIPOQ. Lower levels of adiponectin are strongly connected with insulin resistance and hyperinsulinemia. Research on the relationship between adiponectin and obesity, T2DM, and CVD is limited and the gaps need to be explored. Considering the importance of adiponectin, the current investigation was carried out through the screening of the phytocompounds from Zingiber officinale Roscoe against adiponectin to find out the potent phytocompounds for enhancing the production of adiponectin.

Methods: In silico investigation approaches such as Lipinski’s rule of five, network analysis molecular docking, and molecular dynamics simulations were performed to explore the impact of adiponectin in T2DM and CVD comorbidities and its therapeutics.

Results: Fifteen out of 24 compounds satisfied Lipinski’s rule of five that were further processed in various in silico studies along with the standard metformin. The docking studies revealed that the compound galanolactone with the highest binding affinity of -7.0 kcal/mol against Adiponectin was better than metformin.

Conclusion: The bio-computational tools explored an effective natural compound galanolactone identified with better efficacy than metformin in enhancing the levels of adiponectin that might ultimately be beneficial in the treatment of T2DM and CVD.



Implication for health policy/practice/research/medical education:

The study gives insight into the medicinal values of the rhizome of Zingiber officinale through this in silico approach for the treatment of type 2 diabetes and cardiovascular disease (CVD) from its potential compounds against adiponectin protein.

Please cite this paper as: Tripathy CS, Behera SK, Parida S. Impact of bio-computational tools for early detection of competent drug possibilities from Zingiber officinale Roscoe against adiponectin protein of type 2 diabetes mellitus and cardiovascular disease. J Herbmed Pharmacol. 2025;14(4):405-416. doi: 10.34172/jhp.2025.52810.

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Submitted: 05 Nov 2024
Revision: 05 Apr 2025
Accepted: 13 Apr 2025
ePublished: 01 Oct 2025
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