Evidence map›Paper›PMID 40159583›Full record

ArticleInflammopharmacology2025

Amelioration of Freund's adjuvant-induced polyarthritis by Diosmin-loaded nanoparticles in Wistar rats; a mechanistic study.

Hamna Mehmood, Ammara Saleem, Muhammad Furqan Akhtar, Aisha Mobashar

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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.

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

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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

1 citing paper in PubMed.

  1. Article
4 · The record

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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

4 authors.

Hamna MehmoodDepartment of Pharmacology, Faculty of Pharmaceutical Sciences, Government College University Faisalabad, Faisalabad, 38000, Pakistan.
Ammara SaleemDepartment of Pharmacology, Faculty of Pharmaceutical Sciences, Government College University Faisalabad, Faisalabad, 38000, Pakistan. ammarasaleem@gcuf.edu.pk.ORCID http://orcid.org/0000-0002-2478-7800
Muhammad Furqan AkhtarRiphah Institute of Pharmaceutical Sciences, Riphah International University, Lahore Campus, Lahore, 5400, Pakistan. furqan.pharmacist@gmail.com.ORCID http://orcid.org/0000-0003-2270-6242
Aisha MobasharFaculty of Pharmacy, The University of Lahore, Lahore, 5400, Pakistan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The current study aims to synthesize diosmin-loaded nanoparticles (DNPs) to make available an alternative safe treatment for adjuvant-induced polyarthritis. DNPs were formulated using chitosan biopolymer and characterized. Acute toxicity study was also performed and acute anti-inflammatory potential was accessed using phologistic agents. For anti-arthritic potential, disease was inoculated by injecting 0.15-ml Freund's adjuvant at day 1 to all groups except normal control in left hind paw. Therapy using DNPs at 5-20 mg/kg and diosmin 20 mg/kg and methotrexate was started from day 8-28 orally. The DNPs of size 223 nm, potential 2.9 Mv, polydisparity index > 0.7 and spherical shape particles as revealed by scanning electron microscopy and amorphous nature were revealed by X-ray diffraction. DNPs dose dependently ameliorated arthritic scoring, pain, paw swelling and body weight in contrary to disease control. DNPs and free drug restored significantly altered blood parameters, oxidation status and neurotransmitters level in treated animals as evident by histologic examination of tissues. Treatment with DNPs and free drug profoundly downregulated the expression of cyclooxygenase-2, interleukin (IL)-6, TNF-α, NF-κβ and increased IL-4 and IL-10 in arthritic animals. DNP 20 mg/kg revealed noteworthy anti-arthritic, anti-inflammatory and anti-nociceptive potential in counter to diosmin and methotrexate treated animals.

Indexed as

Anti-Inflammatory AgentsArthritisArthritis, ExperimentalDiosminNanoparticlesAnimalsDose-Response Relationship, DrugFreund's AdjuvantMaleMethotrexateRatsRats, WistarAnti-Inflammatory AgentsDiosminFreund's AdjuvantMethotrexateChitosanDiosminFreund’s adjuvantInterleukin-6Oxidation status

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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.