Evidence map›Paper›PMID 40584136›Full record

ArticleVeterinary world2025

Radiation-induced skin regeneration: A comparative efficacy and safety analysis of alpha, beta, and gamma modalities in murine models.

Madyan Ahmed Khalaf, Marwan Noori Mohammed, Baida M Ahmed, Sahar A H Al-Sharqi

Abstract read
In one paragraph

Article in Veterinary world, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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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3 · Its place in the literature

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0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Madyan Ahmed KhalafDepartment of Physics, College of Sciences, Mustansiriyah University, Baghdad, Iraq.
Marwan Noori MohammedDepartment of Science, College of Basic Education, Mustansiriyah University, Baghdad, Iraq.
Baida M AhmedDepartment of Physics, College of Sciences, Mustansiriyah University, Baghdad, Iraq.
Sahar A H Al-SharqiDepartment of Biology, College of Sciences, Mustansiriyah University, Baghdad, Iraq.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and Aim: The therapeutic application of ionizing radiation in wound healing, especially with alpha, beta, and gamma modalities, remains largely unexplored despite its potential for enhancing regenerative processes. This study aimed to comparatively analyze the efficacy and safety of alpha radiation (IG-A), beta radiation (IG-B), and gamma radiation (IG-G) modalities in promoting skin regeneration using a murine model of full-thickness excisional wounds. Materials and Methods: Twenty male BALB/c mice were randomized into four groups (n = 5 per group): IG-A, IG-B, IG-G, and an untreated control group (CG). Following surgical induction of full-thickness wounds (8 mm diameter), irradiation groups received 15 min of exposure at four intervals post-surgery using americium-241 (alpha), strontium-91 (beta), and cesium-137 (gamma). Wound healing was monitored macroscopically and microscopically on days 0, 2, 4, 6, 8, and 10. Histological and biochemical assessments included collagen synthesis, epithelialization, neovascularization, and growth factor (vascular endothelial growth factor [VEGF] and platelet-derived growth factor [PDGF]) quantification. Statistical analysis was performed using a one-way analysis of variance. Results: IG-A significantly accelerated wound healing, achieving approximately 100% wound closure by day 10 compared to 90% and 80% in beta and gamma radiation groups, respectively. Control wounds demonstrated only 38% closure. Histopathological analysis indicated enhanced collagen deposition, neovascularization, sebaceous gland regeneration, and complete epithelialization primarily in the alpha-treated group. Biochemical assays revealed significantly elevated VEGF and PDGF levels in irradiated groups, with IG-A exhibiting the highest expression. Conclusion: IG-A demonstrated superior efficacy in accelerating wound healing and tissue regeneration compared to beta and gamma modalities. This novel finding suggests a potential therapeutic role for IG-A in clinical wound management strategies.

Indexed as

alpha radiationbeta radiationgamma radiationionizing radiationplatelet-derived growth factorskin regenerationvascular endothelial growth factorwound healing

Identifiers

PMID40584136
PMCPMC12205237

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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.