ArticleScientific reports2022
Role of GBP1 in innate immunity and potential as a tuberculosis biomarker.
Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.
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21 citing papers in PubMed, 37 citations in OpenAlex.
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- A STAT1/ETC/GBP1 axis represents a potential therapeutic target for noncommunicable granulomatous skin disease.Science advances · 2026Article
- Rare epigenetic alterations are conserved across hematopoietic differentiation stages after mycobacterial infection.JCI insight · 2026Article
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- Convergent subgenome dominance but with lineage-specific functional divergence of homoeologs during cave adaptation: insights from full-length transcriptomes of Sinocyclocheilus species.Frontiers in zoology · 2025Article
- Guanylate binding proteins (GBPs) as novel therapeutic targets against single-stranded RNA viruses.Molecular biology reports · 2025Review
- Multilevel systems biology analysis identifies key immune response profiles and potential correlates of protection for M72/AS01E vaccine against tuberculosis.Clinical and experimental vaccine research · 2025Article
- Machine learning-driven discovery of NETs-associated diagnostic biomarkers and molecular subtypes in tuberculosis.Frontiers in cellular and infection microbiology · 2025Article
- 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
- The fibrin-derived peptide FX06 protects human pulmonary endothelial cells against the COVID-19-triggered cytokine storm.Frontiers in immunology · 2025Article
- Distinguish active tuberculosis with an immune-related signature and molecule subtypes: a multi-cohort analysis.Scientific reports · 2024Article
- Single-cell transcriptomic analysis of decidual immune cell landscape in the occurrence of adverse pregnancy outcomes induced by Toxoplasma gondii infection.Parasites & vectors · 2024Article
- Cutoff estimation and construction of their confidence intervals for continuous biomarkers under ternary umbrella and tree stochastic ordering settings.Statistics in medicine · 2024Article
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- Transcriptomics-based anti-tuberculous mechanism of traditional Chinese polyherbal preparation NiuBeiXiaoHe intermediates.Frontiers in pharmacology · 2024Article
- Article
- Screening for diagnostic targets in tuberculosis and study on its pathogenic mechanism based on mRNA sequencing technology and miRNA-mRNA-pathway regulatory network.Frontiers in immunology · 2023Article
- Reanalysis and validation of the transcriptional pleural fluid signature in pleural tuberculosis.Frontiers in immunology · 2023Article
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Authors and funding
4 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Tuberculosis (TB) is a global health problem of major concern. Identification of immune biomarkers may facilitate the early diagnosis and targeted treatment of TB. We used public RNA-sequencing datasets of patients with TB and healthy controls to identify differentially expressed genes and their associated functional networks. GBP1 expression was consistently significantly upregulated in TB, and 4492 differentially expressed genes were simultaneously associated with TB and high GBP1 expression. Weighted gene correlation analysis identified 12 functional modules. Modules positively correlated with TB and high GBP1 expression were associated with the innate immune response, neutrophil activation, neutrophil-mediated immunity, and NOD receptor signaling pathway. Eleven hub genes (GBP1, HLA-B, ELF4, HLA-E, IFITM2, TNFRSF14, CD274, AIM2, CFB, RHOG, and HORMAD1) were identified. The least absolute shrinkage and selection operator model based on hub genes accurately predicted the occurrence of TB (area under the receiver operating characteristic curve = 0.97). The GBP1-module-pathway network based on the STRING database showed that GBP1 expression correlated with the expression of interferon-stimulated genes (GBP5, BATF2, EPSTI1, RSAD2, IFI44L, IFIT3, and OAS3). Our study suggests GBP1 as an optimal diagnostic biomarker for TB, further indicating an association of the AIM2 inflammasome signaling pathway in TB pathology.
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