Evidence map›Paper›PMID 39342024›Full record

ArticleScientific reports2024

Determination of key hub genes in Leishmaniasis as potential factors in diagnosis and treatment based on a bioinformatics study.

Mohsen Safaei, Arash Goodarzi, Zahra Abpeikar, Ahmad Reza Farmani, Seyed Amin Kouhpayeh, Sohrab Najafipour, Mohammad Hassan Jafari Najaf Abadi

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Mohsen SafaeiDepartment of Tissue Engineering, School of Advanced Technologies in Medicine, Fasa University of Medical Sciences, Fasa, Iran.
Arash GoodarziDepartment of Tissue Engineering, School of Advanced Technologies in Medicine, Fasa University of Medical Sciences, Fasa, Iran.
Zahra AbpeikarDepartment of Tissue Engineering, School of Advanced Technologies in Medicine, Fasa University of Medical Sciences, Fasa, Iran. zahraabpaikar@yahoo.com.
Ahmad Reza FarmaniDepartment of Tissue Engineering, School of Advanced Technologies in Medicine, Fasa University of Medical Sciences, Fasa, Iran.
Seyed Amin KouhpayehDepartment of Pharmacology, School of Medicine, Fasa University of Medical Sciences, Fasa, Iran.
Sohrab NajafipourDepartment of Microbiology, Faculty of Medicine, Fasa University of Medical Sciences, Fasa, Iran.
Mohammad Hassan Jafari Najaf AbadiDepartment of Medical Biotechnology, School of Medicine, Shahid Sadoughi University of Medical Sciences and Health Services, Yazd, Iran. mohammadhassanj@gmail.com.

Funding

Fasa University of Medical Sciences IR.FUMS.REC.1402.087
6 · The paper itself

Abstract

Leishmaniasis is an infectious disease caused by protozoan parasites from different species of leishmania. The disease is transmitted by female sandflies that carry these parasites. In this study, datasets on leishmaniasis published in the GEO database were analyzed and summarized. The analysis in all three datasets (GSE43880, GSE55664, and GSE63931) used in this study has been performed on the skin wounds of patients infected with a clinical form of leishmania (Leishmania braziliensis), and biopsies have been taken from them. To identify differentially expressed genes (DEGs) between leishmaniasis patients and controls, the robust rank aggregation (RRA) procedure was applied. We performed gene functional annotation and protein-protein interaction (PPI) network analysis to demonstrate the putative functionalities of the DEGs. The study utilized Molecular Complex Detection (MCODE), Gene Ontology (GO), and Kyoto Encyclopedia of Genes and Genomes (KEGG) to detect molecular complexes within the protein-protein interaction (PPI) network and conduct analyses on the identified functional modules. The CytoHubba plugin's results were paired with RRA analysis to determine the hub genes. Finally, the interaction between miRNAs and hub genes was predicted. Based on the RRA integrated analysis, 407 DEGs were identified (263 up-regulated genes and 144 down-regulated genes). The top three modules were listed after creating the PPI network via the MCODE plug. Seven hub genes were found using the CytoHubba app and RRA: CXCL10, GBP1, GNLY, GZMA, GZMB, NKG7, and UBD. According to our enrichment analysis, these functional modules were primarily associated with immune pathways, cytokine activity/signaling pathways, and inflammation pathways. However, a UBD hub gene is interestingly involved in the ubiquitination pathways of pathogenesis. The mirNet database predicted the hub gene's interaction with miRNAs, and results revealed that several miRNAs, including mir-146a-5p, crucial in fighting pathogenesis. The key hub genes discovered in this work may be considered as potential biomarkers in diagnosis, development of agonists/antagonist, novel vaccine design, and will greatly contribute to clinical studies in the future.

Indexed as

Computational BiologyGene Expression ProfilingGene Regulatory NetworksLeishmaniasisMicroRNAsProtein Interaction MapsGene Expression RegulationGene OntologyHumansLeishmania braziliensisMicroRNAsDifferentially expressed genesGEO databaseLeishmaniasisMicroarrayRRA method

Identifiers

PMID39342024
PMCPMC11438978

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