SynthesisMedicine2021
Comprehensive analyses of potential key genes in active tuberculosis: A systematic review.
Synthesis in Medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
What it found
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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
12 citing papers in PubMed, 13 citations in OpenAlex.
- Evaluation of the Xpert MTB Host Response assay for the triage of patients with presumed pulmonary tuberculosis: a prospective diagnostic accuracy study in Viet Nam, India, the Philippines, Uganda, and South Africa.The Lancet. Global health · 2024Trial
- The Utility of a Three-gene Host Response to Discriminate Tuberculous Meningitis From Other Infections in Children.The Pediatric infectious disease journal · 2026Article
- Guanylate-binding protein 5: a promising biomarker and therapeutic target.Infection and immunity · 2025Review
- Role of guanylate-binding protein 5 in inflammatory diseases, immune diseases, cancers, and its potential therapeutic implications.Inflammopharmacology · 2025Review
- Evaluation of host-immune biomarker signatures as multiplex qPCR diagnostic assays: a pilot study toward meeting WHO target product profiles for TB diagnosis in India.Frontiers in tuberculosis · 2025Article
- Breaking barriers: The potential of nanosystems in antituberculosis therapy.Bioactive materials · 2024Review
- Construction of ceRNA regulatory networks for active pulmonary tuberculosis.Scientific reports · 2024Article
- Identification of immune biomarkers in recent active pulmonary tuberculosis.Scientific reports · 2023Article
- Article
- Coexpression Network Analysis-Based Identification of Critical Genes Differentiating between Latent and Active Tuberculosis.Disease markers · 2022Article
- In-depth systems biological evaluation of bovine alveolar macrophages suggests novel insights into molecular mechanisms underlyingFrontiers in microbiology · 2022Article
- Correlation between the risk of lymph node metastasis and the expression of GBP1 in breast cancer patients.Pakistan journal of medical sciencesArticle
Corrections and comments
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Authors and funding
14 authors at 2 institutions in 1 country.
Funding
Abstract
backgroundTuberculosis (TB) is a global health problem that brings us numerous difficulties. Diverse genetic factors play a significant role in the progress of TB disease. However, still no key genes for TB susceptibility have been reported. This study aimed to identify the key genes of TB through comprehensive bioinformatics analysis.
methodsThe series microarray datasets from the gene expression omnibus (GEO) database were analyzed. We used the online tool GEO2R to filtrate differentially expressed genes (DEGs) between TB and health control. Database for annotation can complete gene ontology function analysis as well as Kyoto Encyclopedia of Genes and Genomes pathway enrichment analysis. Protein-protein interaction (PPI) networks of DEGs were established by STRING online tool and visualized by Cytoscape software. Molecular Complex Detection can complete the analysis of modules in the PPI networks. Finally, the significant hub genes were confirmed by plug-in Genemania of Cytoscape, and verified by the verification cohort and protein test.
resultsThere are a total of 143 genes were confirmed as DEGs, containing 48 up-regulated genes and 50 down-regulated genes. The gene ontology and Kyoto Encyclopedia of Genes and Genomes analysis show that upregulated DEGs were associated with cancer and phylogenetic, whereas downregulated DEGs mainly concentrate on inflammatory immunity. PPI networks show that signal transducer and activator of transcription 1 (STAT1), guanylate binding protein 5 (GBP5), 2'-5'-oligoadenylate synthetase 1 (OAS1), catenin beta 1 (CTNNB1), and guanylate binding protein 1 (GBP1) were identified as significantly different hub genes.
conclusionWe conclude that these genes, including TAT1, GBP5, OAS1, CTNNB1, GBP1 are a candidate as potential core genes in TB and treatment of TB in the future.
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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.