ArticleBioMed research international2022
Identifying miRNAs Associated with the Progression of Keloid through mRNA-miRNA Network Analysis and Validating the Targets of miR-29a-3p in Keloid Fibroblasts.
Article in BioMed research international, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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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.
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Who cites it
9 citing papers in PubMed, 9 citations in OpenAlex.
- Epigenetic Insights and Exosome-Based Therapeutics for Insomnia: Bridging Sleep Biology and Precision Medicine.Molecular neurobiology · 2026Review
- A panoramic analysis of keloid pathogenesis: multidimensional network regulation of genetics-immunity-metabolism-mechanical force.Frontiers in immunology · 2026Review
- Hypertrophic Scarring and Keloids: Epidemiology, Molecular Pathogenesis, and Therapeutic Interventions.MedComm · 2025Review
- LncRNA PVT1 Promotes the Progress of Hypertrophic Scar via Regulating the Proliferation and Migration of Myofibroblasts Through Targeting miR-29a-3p/STAT3.Clinical, cosmetic and investigational dermatology · 2025Article
- Effects of miR-214 on adenosine A2A receptor and carboxymethyl chitosan nanoparticles on the function of keloid fibroblasts and their mechanisms.Scientific reports · 2024Article
- Characterization of the skin keloid microenvironment.Cell communication and signaling : CCS · 2023Review
- Bioinformatics analysis and identification of dysregulated POSTN in the pathogenesis of keloid.International wound journal · 2023Article
- Progress in the clinical treatment of keloids.Frontiers in medicine · 2023Review
- Identification and characterization of bone/cartilage-associated signatures in common fibrotic skin diseases.Frontiers in genetics · 2023Article
Corrections and comments
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Authors and funding
8 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Keloid has brought great trouble to people and currently has no uniformly successful treatment. It is urgent to find new targets to effectively prevent the progress of keloid. The current research mainly identifies the differentially expressed genes (DEGs) in keloid through high-throughput sequencing technology and bioinformatics analysis technology, to screen new therapeutic targets and potential biomarkers. However, due to the different samples, different control groups, and small sample sizes, the sequencing results obtained from different studies are quite different and lack reliability. It is necessary to analyze the existing datasets in a reasonable way. Methods: Datasets about keloid were filtered in Gene Expression Omnibus (GEO) and ArrayExpress databases according to the inclusion and exclusion criteria. The discovery datasets were used for summarizing significant DEGs, and the validation datasets were to validate the mRNA and miRNA expression levels. The Encyclopedia of RNA Interactomes (ENCORI) online platform was used to predict the interactions between miRNAs and their target mRNAs. Protein-protein interaction network (PPI network) analysis and functional enrichment analysis were conducted. miRNA-mRNA network was established by Cytoscape software and verified in keloid tissue ( Results: A total of 6 datasets involving 20 patients were included. 15 miRNAs and 12 target mRNAs were identified as potential biomarkers for keloid patients. The RT-qPCR results showed that miR-29a-3p, miR-92a-3p, and miR-143-3p were downregulated, and all their target mRNAs were upregulated in keloid tissue ( Conclusion: The miRNA-mRNA network, especially miR-29a-3p and its targets, may provide insights into the underlying pathogenesis of keloid and serve as potential biomarkers for keloid treatment.
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Registered trials
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