ArticleScientific reports2023
Identification of molecular mechanisms causing skin lesions of cutaneous leishmaniasis using weighted gene coexpression network analysis (WGCNA).
Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed, 12 citations in OpenAlex.
- Deciphering the Molecular Basis of Systemic Manifestations in Cutaneous Leishmaniasis Using Integrated Bioinformatics Analysis.Acta parasitologica · 2026Article
- Evaluation of genetic variation in tumor suppressor miRNA encoding and their target genes in breast cancer; focus on miRNA interaction and expression analysis.Frontiers in genome editing · 2026Article
- Epigenetic modifications of the PHOX2A and CDH2 genes expression- new insights into the pathogenesis of multiple myeloma.BMC cancer · 2025Article
- Estimating the effect of tissue- and blood-derived cell reference matrices on deconvolving bulk transcriptomic datasets.Computational and structural biotechnology journal · 2025Article
- Overview of Research on Leishmaniasis in Africa: Current Status, Diagnosis, Therapeutics, and Recent Advances Using By-Products of the Sargassaceae Family.Pharmaceuticals (Basel, Switzerland) · 2024Article
- Article
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Authors and funding
4 authors at 2 institutions in 1 country.
Funding
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Abstract
Leishmaniasis is an infectious disease, caused by a protozoan parasite. Its most common form is cutaneous leishmaniasis, which leaves scars on exposed body parts from bites by infected female phlebotomine sandflies. Approximately 50% of cases of cutaneous leishmaniasis fail to respond to standard treatments, creating slow-healing wounds which cause permanent scars on the skin. We performed a joint bioinformatics analysis to identify differentially expressed genes (DEGs) in healthy skin biopsies and Leishmania cutaneous wounds. DEGs and WGCNA modules were analyzed based on the Gene Ontology function, and the Cytoscape software. Among almost 16,600 genes that had significant expression changes on the skin surrounding Leishmania wounds, WGCNA determined that one of the modules, with 456 genes, has the strongest correlation with the size of the wounds. Functional enrichment analysis indicated that this module includes three gene groups with significant expression changes. These produce tissue-damaging cytokines or disrupt the production and activation of collagen, fibrin proteins, and the extracellular matrix, causing skin wounds or preventing them from healing. The hub genes of these groups are OAS1, SERPINH1, and FBLN1 respectively. This information can provide new ways to deal with unwanted and harmful effects of cutaneous leishmaniasis.
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