Evidence map›Paper›PMID 40256225›Full record

ArticleBioImpacts : BI2025

Enhanced reno-protective effects of CHIR99021 modified mesenchymal stem cells against rat acute kidney injury model.

Rakhshinda Habib, Rabia Farhat, Mohsin Wahid, Jahanara Ainuddin

Abstract read
In one paragraph

Article in BioImpacts : BI, 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. Review
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

4 authors.

Rakhshinda HabibDow Research Institute of Biotechnology and Biomedical Sciences, Dow University of Health Sciences (Ojha Campus), Karachi, Pakistan.ORCID https://orcid.org/0000-0003-3965-6501
Rabia FarhatSchool of Postgraduate Studies, Dow University of Health Sciences (Ojha Campus), Karachi, Pakistan.
Mohsin WahidDepartment of Pathology, Dow International Medical College, Dow University of Health Sciences (Ojha Campus), Karachi, Pakistan.
Jahanara AinuddinDepartment of Gynecology and Obstetrics, Dow University Hospital, Karachi, Pakistan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Mesenchymal stem cells of human umbilical cord origin (hucMSCs) appear to be an attractive candidate for cell-based therapies. However, their efficacy requires improvement as poor survival and specific homing to the site of injury are the major barriers to their effective implementation in cell therapy. As Wnt signaling pathway is involved in the development and repair of organs, we adopted a preconditioning strategy of stem cells by using CHIR99021 compound (a Wnt pathway agonist) to potentiate hucMSCs beneficial effects and circumvent their therapeutic limitations. Methods: We treated hucMSCs with 5 µM of CHIR99021 and evaluated the expression levels of genes involved in different biological processes through qRT-PCR. Subsequently, we examined the effectiveness of preconditioned cells (CHIR99021-hucMSCs) in a cisplatin-induced rat acute kidney injury model. Amelioration in tissue injury was evaluated by histopathology, immunohistochemistry and renal functional assessment. Results: In treated groups, we observed preserved renal tissue architecture in terms of lesser epithelial cells necrosis ( Conclusion: The results showed that preconditioning of stem cells with Wnt pathway activators could provide advanced benefits for organ repair, which may contribute to design a more effective therapeutic approach for renal regeneration.

Indexed as

Acute kidney injuryMesenchymal stem cellsPreconditioningRegenerationStem cell therapyWnt signaling

Identifiers

PMID40256225
PMCPMC12008493

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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.