Evidence map›Paper›PMID 40272605›Full record

ArticleCell and tissue banking2025

Wound healing by enhancing cell proliferation: a thermoreversible formulation containing raloxifene.

Subodh Kumar, Yogesh Kumar Verma

Abstract read
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In one paragraph

Article in Cell and tissue banking, 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

2 authors.

Subodh KumarRegenerative Biology Research Lab, Institute of Nuclear Medicine & Allied Sciences (INMAS), Defence Research and Development Organisation (DRDO), Lucknow Road, Timarpur, Delhi, 110054, India.
Yogesh Kumar VermaRegenerative Biology Research Lab, Institute of Nuclear Medicine & Allied Sciences (INMAS), Defence Research and Development Organisation (DRDO), Lucknow Road, Timarpur, Delhi, 110054, India. yogesh.inmas@gov.in.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The challenge of ineffective wound healing, leading to chronic conditions necessitates the development of novel therapeutics strategies. Currently, a plethora of ailments have been researched and marketed globally to accelerate angiogenesis, re-epithelization, collagen synthesis, and proliferation. However, clinical translation remains challenging and requires rigorous pre- and post-clinical screening. Here, we have developed a formulation encapsulating Raloxifene, a repurposed drug, aimed to induce accelerated wound healing. Four different formulations (Forms 1, 2, 3, and 4) incorporating alginate, poloxamer 407 (P407), LiCl, and fetal bovine serum were prepared. Formulations were characterized by scanning electron microscopy, Fourier Transformation infrared spectroscopy, and rheology. In vitro assessments encompassing cell viability, cell migration, and drug release profile were conducted, subsequently, the in vivo wound healing potential was evaluated in Sprague Dawley (SD) rats. In results, we observed significant (p-value<0.05) wound healing by Form 3 at  14th due to up-regulation of TGFꞵ, Col-I and GSK3β genes. The histology results showed complete development of epidermis, endoderm and collagen fibers by Form 3, leading to complete healing. This formulation shows promise for clinical application in accelerated wound healing processes.

Indexed as

Cell ProliferationRaloxifene HydrochlorideWound HealingAnimalsCell MovementCell SurvivalDrug CompoundingDrug LiberationHumansMaleRatsRats, Sprague-DawleyRaloxifene HydrochlorideCell proliferationRegenerationSol-to gel transitionTissue repairToxicity

Identifiers

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Textmetadata
Read underepoch 390

Registered trials

None linked

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.