Evidence map›Paper›PMID 41504088›Full record

ArticleChemistry & biodiversity2026

Integrative Approach to Elucidate the Antidiabetic Efficacy of Cipadessa baccifera (Roth) Miq.: A Study Based on Metabolomics, Network Pharmacology, and Animal Models.

Dibya Ranjan Sahoo, Swaraj Kumar Babu, Abhijit Sahu, Srichandan Rath, Surjeet Verma, Malayamarutham Kalyankumarraju, Amit Kumar Dixit, Deepak Lamba, Sanjaya Kumar Yr, Rabinarayan Acharya and 1 more

Abstract read
In one paragraph

Article in Chemistry & biodiversity, 2026. 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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0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Dibya Ranjan SahooCentre of Excellence in Natural Products and Therapeutics, Department of Biotechnology and Bioinformatics, Sambalpur University, Sambalpur, Odisha, India.ORCID https://orcid.org/0000-0002-2722-5555
Swaraj Kumar BabuCentre of Excellence in Natural Products and Therapeutics, Department of Biotechnology and Bioinformatics, Sambalpur University, Sambalpur, Odisha, India.
Abhijit SahuCentre of Excellence in Natural Products and Therapeutics, Department of Biotechnology and Bioinformatics, Sambalpur University, Sambalpur, Odisha, India.
Srichandan RathCentre of Excellence in Natural Products and Therapeutics, Department of Biotechnology and Bioinformatics, Sambalpur University, Sambalpur, Odisha, India.
Surjeet VermaCentre of Excellence in Natural Products and Therapeutics, Department of Biotechnology and Bioinformatics, Sambalpur University, Sambalpur, Odisha, India.
Malayamarutham KalyankumarrajuDepartment of Pharmacology, Central Ayurveda Research Institute, Kolkata, India.
Amit Kumar DixitDepartment of Pathology, Biochemistry and Microbiology, Central Ayurveda Research Institute, Kolkata, India.
Deepak LambaPharmacology Section, Central Council for Research in Ayurvedic Sciences, Ministry of AYUSH, New Delhi, India.
Sanjaya Kumar YrCentral Council for Research in Ayurvedic Sciences, Ministry of AYUSH, New Delhi, India.
Rabinarayan AcharyaCentral Council for Research in Ayurvedic Sciences, Ministry of AYUSH, New Delhi, India.
Pradeep Kumar NaikCentre of Excellence in Natural Products and Therapeutics, Department of Biotechnology and Bioinformatics, Sambalpur University, Sambalpur, Odisha, India.ORCID https://orcid.org/0000-0001-7044-2427

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cipadessa baccifera (Roth) Miq. (Family- Meliaceae) has been traditionally used to treat various ailments, including diabetes. The present study aimed to validate the antidiabetic efficacy of C. baccifera using both in vitro and in vivo diabetic models, followed by a mechanistic evaluation. UPLC-Q-ToF/MS analysis, enzyme inhibition assays, and in silico studies were performed. Cytotoxicity and glucose uptake studies were conducted on MIN6 cell line. qRT‒PCR was carried to assess GLUT4 expression in adipocytes. Immunostaining was performed to examine the differential expression of pancreatic cell subtypes. UPLC-Q-ToF/MS analysis identified 93 compounds, of which 18 were further selected for in silico protein‒protein interaction (PPI) network analysis. PPI network and pathway enrichment analyses predicted that the PPARG, AKT1, SIRT1, and FOXO1 genes are key regulators in diabetes. The in vitro enzyme inhibition assay revealed significant inhibition by the 70% hydroethanolic extract. The mechanistic study showed notable upregulation of GLUT4 mRNA expression, which also supports the network analysis algorithm. The in vivo study demonstrated a significant decrease in blood glucose, insulin, and HbA1c levels in the treated model. Immunostaining revealed significant restoration of insulin and myosin expression. These combined results highlight the potential of C. baccifera as a valuable supplement for diabetes management.

Indexed as

Diabetes Mellitus, ExperimentalHypoglycemic AgentsMetabolomicsPlant ExtractsAnimalsCell LineGlucose Transporter Type 4MaleMiceNetwork PharmacologyGlucose Transporter Type 4Hypoglycemic AgentsPlant ExtractsCipadessa bacciferaGLUT4immunostainingMIN6UPLC‐Q‐ToF/MS

Identifiers

PMID41504088
PMCPMC13419934

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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 OpenQuestion graph.