ArticleBurns & trauma2025
A miRNA cocktail orchestrates coordinated cellular responses to promote diabetic wound healing.
Article in Burns & trauma, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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.
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.
Who cites it
4 citing papers in PubMed.
- mRNA Therapeutics for Skin Rejuvenation: From Aging Atlases to Clinical Translation.Experimental dermatology · 2026Review
- A Microbial Odyssey: Reshaping Probiotic Destinies through Advanced Delivery Technologies.Probiotics and antimicrobial proteins · 2026Review
- Mitochondrial function meets oncology: the multifaceted role of TFAM across cancer types.Apoptosis : an international journal on programmed cell death · 2026Review
- Bioengineered probiotics derived bacterial extracellular vesicle as bioactive nanocarrier for the local VEGF expression to accelerate wound healing.Journal of nanobiotechnology · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Chronic wounds, particularly diabetic ulcers, impose significant health and economic burdens globally because of their complex pathology and the limited availability of therapeutic approaches. Multiple microRNAs (miRNAs) play crucial roles in regulating biological processes in wound healing. However, single-miRNA therapies may not fully overcome the multifaceted barriers of impaired wound repair. Efforts to discover more effective wound therapies continue unabated. This study aims to evaluate the therapeutic potential of a multi-miRNA strategy for enhancing diabetic wound repair. Methods: In this study, we developed a microRNA cocktail that targets multiple critical phases of wound healing: inflammation, re-epithelialization, granulation tissue formation, and angiogenesis. This therapeutic cocktail includes locked nucleic acid-modified mimics of miR-19b-3p, miR-132-3p, and miR-31-5p, along with an inhibitor of miR-92a-3p, which are delivered via Results: Local application of the miRNA cocktail to wounds markedly enhanced acute wound healing in wild-type mice, outperforming the effects of the individual miRNAs. Moreover, the miRNA cocktail accelerated diabetic wound healing by orchestrating coordinated cellular responses at the wound site and significantly decreasing inflammatory cytokine expression and CD68+ macrophage migration while promoting re-epithelialization, angiogenesis, and granulation tissue formation. Notably, the cocktail also facilitated nerve regeneration in the wound area at day 30 postinjury. Conclusions: Our findings suggest that this miRNA cocktail has a potential therapeutic value for revitalizing the healing process in chronic wounds. Therefore, further investigations in controlled clinical trials are warranted to confirm the efficacy and applicability of this miRNA cocktail in a clinical setting.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.