ArticleExperimental and therapeutic medicine2019
Bioinformatics analysis of microRNA expression between patients with and without latent tuberculosis infections.
Article in Experimental and therapeutic medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 2 of them syntheses that pooled it.
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Who cites it
14 citing papers in PubMed, 2 syntheses or guidelines pooled it, 17 citations in OpenAlex.
- Type 2 diabetes mellitus associated microRNAs in tuberculosis susceptibility: a systematic review and bioinformatic analysis.Frontiers in endocrinology · 2026Pooled it
- miR-29 as diagnostic biomarkers for tuberculosis: a systematic review and meta-analysis.Frontiers in public health · 2024Pooled it
- Different MicroRNAs expression inRNA biology · 2026Review
- miR-29a-3p targets the PI3K/Akt signaling pathway to suppress inflammation and MMP-9-dependent matrix degradation in spinal tuberculosis.Journal of orthopaedic surgery and research · 2026Article
- Circulating MicroRNAs as diagnostic indicators in tuberculous Meningitis-A case -control study in North Indian population.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2025Article
- Genome-wide expression in human whole blood for diagnosis of latent tuberculosis infection: a multicohort research.Frontiers in microbiology · 2025Article
- Identification of potential miRNA biomarkers for neurobrucellosis diagnosis.Frontiers in physiology · 2025Article
- Expression profiling & functional characterization of candidate miRNAs in serum exosomes among Indians with & without HIV-tuberculosis coinfection.The Indian journal of medical research · 2024Article
- Identification of Hub Genes and Typing of Tuberculosis Infections Based on Autophagy-Related Genes.Polish journal of microbiology · 2023Article
- Expression ofAnnals of medicine and surgery (2012) · 2022Article
- Sp1 transcription factor represses transcription of phosphatase and tensin homolog to aggravate lung injury in mice with type 2 diabetes mellitus-pulmonary tuberculosis.Bioengineered · 2022Article
- Benefits and Challenges of Pre-clustered Network-Based Pathway Analysis.Frontiers in genetics · 2022Article
- Gene expression profiling identifies candidate biomarkers for new latent tuberculosis infections. A cohort study.PloS one · 2022Article
- miR-576-5p Promotes the Proliferation of Papillary Thyroid Carcinoma through the MAPK4-AKT Pathway.International journal of analytical chemistry · 2022Article
Corrections and comments
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Authors and funding
10 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Tuberculosis (TB) is a globally prevalent infectious disease. The mechanisms of latent TB infection (LTBI) remain to be fully elucidated and may provide novel approaches for diagnosis. As therapeutic targets and molecular diagnostic markers, microRNAs (miRs) have been studied and utilized in various diseases. In the present study, the differentially expressed miRs (DEMs) in LTBI were screened and analyzed to determine the underlying mechanisms and identify potential biomarkers, thereby contributing to the diagnosis of LTBI. The GSE25435 and GSE29190 datasets from Gene Expression Omnibus were selected for analysis. The 2 datasets were analyzed individually using the Bioconductor package to screen the DEMs with specific cut-off criteria [P<0.01 and |log (fold change)|≥1]. Target gene prediction and interaction network construction were performed using Targetscan, the Search Tool for the Retrieval of Interacting Genes and Proteins and Cytoscape individually, and were merged using the latter tool. The hub genes were finally selected based on their degree of connectivity (DC). Gene Ontology and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analyses were performed using the KEGG and GENCLIP. A total of 144 DEMs were identified from the 2 datasets. By exploring the overlapping miRs in the two datasets,
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