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ArticleInflammopharmacology2025

Dual evaluation of Citrullus colocynthis fruit extract for anti-rheumatic activity: integrating in silico docking and in vivo murine RA model analysis.

Jawad Ashfaq, Muti-Ur-Rehman Khan, Asim Aslam, Arfan Ahmad, Adeel Sattar, Waqas Ahmad

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

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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.

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2 · The registry

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3 · Its place in the literature

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1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Jawad AshfaqDepartment of Pathology, University of Veterinary and Animal Sciences, Lahore, 54000, Pakistan.
Muti-Ur-Rehman KhanDepartment of Pathology, University of Veterinary and Animal Sciences, Lahore, 54000, Pakistan. drniazi@uvas.edu.pk.ORCID http://orcid.org/0000-0003-4252-8578
Asim AslamDepartment of Pathology, University of Veterinary and Animal Sciences, Lahore, 54000, Pakistan.
Arfan AhmadInstitute of Microbiology, University of Veterinary and Animal Sciences, Lahore, 54000, Pakistan.
Adeel SattarDepartment of Pharmacology and Toxicology, University of Veterinary and Animal Sciences, Lahore, 54000, Pakistan.
Waqas AhmadDepartment of Pathology, University of Veterinary and Animal Sciences, Lahore, 54000, Pakistan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Rheumatoid arthritis (RA) is a chronic degenerative autoimmune disease, which is characterized by synovial inflammation and cartilage erosion. The present study aimed to explore the therapeutic potential of methanolic extract of Citrullus colocynthis (C. colocynthis) against RA using both in vivo and in silico methods. 36 experimentally adjuvant-induced arthritic mice were divided into six groups (n = 6): negative control, positive control, methotrexate (0.5 mg/kg), and C. colocynthis extract-treated groups (50, 100, and 200 mg/kg). Paw edema, hematological and biochemical parameters, rheumatoid factor, C-reactive protein, pro-inflammatory cytokine expression (TNF-α, IL-1β, IL-6), and joint histopathology were assessed. One-way, two-way, and non-parametric ANOVA were used in RStudio to compare the parameters among the groups. In parallel, GC-MS-identified phytoconstituents were screened for drug-likeness and binding affinity to key inflammatory targets via molecular docking, molecular dynamics simulations, post-simulation MM-GBSA, principal component analysis, and ADMET profiling. The extract at 200 mg/kg significantly reduced FCA-induced paw thickness (1.23 ± 0.04 mm vs. 2.85 ± 0.07 mm in arthritic controls, p < 0.001), lowered C-reactive protein (14.3 ± 0.8 ng/mL), and rheumatoid factor (48.9 ± 2.7 IU/mL), also significantly downregulated TNF-α, IL-1β, and IL-6 expression that was comparable to methotrexate. Results of histopathology revealed the preserved joint architecture with minimal pannus formation. In silico studies showed that trehalose and 3,5-dihydroxybiphenyl were the key molecules with strong binding affinities to TNF-α and dihydrofolate reductase, suggesting their cytokine-modulating potential. This study demonstrated C. colocynthis methanolic extract as a promising, multi-targeted natural therapy for RA.

Indexed as

Antirheumatic AgentsArthritis, ExperimentalArthritis, RheumatoidCitrullus colocynthisPlant ExtractsAnimalsCytokinesDisease Models, AnimalFruitMaleMiceMolecular Docking SimulationAntirheumatic AgentsCytokinesPlant ExtractsCitrullus colocynthisGC–MSIL-1βIL-6In vivo arthritis modelMD simulationMolecular dockingRheumatoid arthritisTNF-α

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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.