Evidence map›Paper›PMID 40993227›Full record

ArticleScientific reports2025

Exploring the anti-obesity potential of Ailanthus excelsa Roxb in vitro enzymatic inhibition and computational pharmacology insights.

Sachin Gudasi, M B Patil, Shankar Gharge, Shriram D Ranade, Hannah Lalengzuali Fanai, Jagdish Chand, Sheikh F Ahmad, Sabry M Attia, Talha Bin Emran

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

1 citing paper in PubMed.

  1. Article
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

9 authors.

Sachin GudasiDepartment of Pharmacognosy, KLE College of Pharmacy, Belagavi, KLE Academy of Higher Education and Research, Belagavi, Karnataka, 590 010, India.
M B PatilDepartment of Pharmacognosy, KLE College of Pharmacy, Belagavi, KLE Academy of Higher Education and Research, Belagavi, Karnataka, 590 010, India. mbpatil@klepharm.edu.
Shankar GhargeDepartment of Pharmaceutical Chemistry, KLE College of Pharmacy, Belagavi, KLE Academy of Higher Education and Research, Belagavi, Karnataka, 590 010, India.
Shriram D RanadeDepartment of Pharmaceutical Chemistry, KLE College of Pharmacy, Belagavi, KLE Academy of Higher Education and Research, Belagavi, Karnataka, 590 010, India.
Hannah Lalengzuali FanaiDepartment of Pharmaceutical Chemistry, JSS College of Pharmacy, JSS Academy of Higher Education & Research, Ooty, The Nilgiris, Tamil Nadu, 643001, India.
Jagdish ChandDepartment of Pharmaceutical Chemistry, JSS College of Pharmacy, JSS Academy of Higher Education & Research, Ooty, The Nilgiris, Tamil Nadu, 643001, India.
Sheikh F AhmadDepartment of Pharmacology and Toxicology, College of Pharmacy, King Saud University, Riyadh, 11451, Saudi Arabia.
Sabry M AttiaDepartment of Pharmacology and Toxicology, College of Pharmacy, King Saud University, Riyadh, 11451, Saudi Arabia.
Talha Bin EmranDepartment of Pharmacology and Toxicology, University of Louisville, 505 S. Hancock Street, Louisville, KY, 40202, USA. talha.emran@louisville.edu.

Funding

King Saud University, Riyadh, Saudi Arabia RSPD2024R709
6 · The paper itself

Abstract

This study explores the potential of Ailanthus excelsa Roxb. for managing obesity by evaluating its effects on key metabolic enzymes. We evaluated a hydroalcoholic extract and its fractions for their ability to modulate important metabolic enzymes, porcine pancreatic lipase, HMG-CoA reductase, α-glucosidase, and α-amylase activities. Our methodology integrated in vitro enzymatic assays with cluster analysis (MCODE, ClueGO, and Cluepedia) and network pharmacology to elucidate interactions between metabolites and target enzymes. Protein-protein interaction (PPI) analysis, consisting of a network with 51 nodes and 264 edges, was performed using the CytoNCA plugin to calculate topological parameters. Key targets were identified based on degree centrality, including ADIPOQ, PPARA, PPARG, IL6, TNF, and AKT1. Cluster analysis of the PPI networks, conducted using the MCODE plugin, highlighted a top cluster with a high score of 22.82. Network pharmacology has identified key targets associated with obesity, including HK1, HK2, PIK3CA, AKT1, MTOR, CD36, ACACB, SLC2A4, CPTIA, INSR, ACACA, FASN, and ADIPOQ. These targets are linked to highly modulated metabolic pathways. Isoquercetin shows significant binding affinities: - 7.11 for HMG-CoA Reductase (PDB ID: 1HW9), -9.96 for lipase (PDB ID: 1LPB), - 8.96 for α-amylase, and - 10.41 for α-Glucosidase (PDB ID: 3A47). The ethyl acetate fractions exhibit notable inhibition of Porcine Pancreatic lipase (IC

Indexed as

Anti-Obesity AgentsEnzyme InhibitorsPlant Extractsalpha-Amylasesalpha-GlucosidasesAnimalsHydroxymethylglutaryl CoA ReductasesLipaseMolecular Docking SimulationNetwork PharmacologyObesityProtein Interaction MapsSwinealpha-Amylasesalpha-GlucosidasesAnti-Obesity AgentsEnzyme InhibitorsHydroxymethylglutaryl CoA ReductasesLipasePlant ExtractsAilanthus excelsa RoxbCluster analysisMolecular dynamic simulationα-glucosidase

Identifiers

PMID40993227
PMCPMC12460848

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LicenceCC BY-NC-ND
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Registered trials

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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.