ArticleFrontiers in immunology2020
Validation of Differentially Expressed Immune Biomarkers in Latent and Active Tuberculosis by Real-Time PCR.
Article in Frontiers in immunology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.
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Who cites it
24 citing papers in PubMed.
- Advances in functional transcriptome analysis of Mycobacterium tuberculosis: a review.Molecular genetics and genomics : MGG · 2026Review
- Machine-Learning-Derived, Mechanistically Informed Transcriptomic Signature to Diagnose Active Tuberculosis and Guide Host-Directed Therapy.Diagnostics (Basel, Switzerland) · 2026Article
- Research Trends and Development Dynamics of qPCR-based Biomarkers: A Comprehensive Bibliometric Analysis.Molecular biotechnology · 2026Review
- Diagnostic accuracy of RISK6 assay in childhood pulmonary TB.IJTLD open · 2025Article
- Role of guanylate-binding protein 5 in inflammatory diseases, immune diseases, cancers, and its potential therapeutic implications.Inflammopharmacology · 2025Review
- From mechanisms to therapies: the multifaceted roles of guanylate-binding protein 2 in immunity, cancer, and beyond.Frontiers in immunology · 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
- Risk factors for hospital readmission of multidrug-resistant tuberculosis: evidence of longitudinal follow-up data in Ningbo, China.Frontiers in public health · 2025Article
- Article
- The pseudogene GBP1P1 suppresses influenza A virus replication by acting as a protein decoy for DHX9.Journal of virology · 2024Article
- Sex-specific blood-derived RNA biomarkers for childhood tuberculosis.Scientific reports · 2024Article
- Early detection of tuberculosis: a systematic review.Pneumonia (Nathan Qld.) · 2024Review
- Cutoff estimation and construction of their confidence intervals for continuous biomarkers under ternary umbrella and tree stochastic ordering settings.Statistics in medicine · 2024Article
- Construction of Immune-Related Diagnostic Model for Latent Tuberculosis Infection and Active Tuberculosis.Journal of inflammation research · 2024Article
- Whole blood RNA signatures in tuberculosis patients receiving H56:IC31 vaccine as adjunctive therapy.Frontiers in immunology · 2024Article
- Identification of diagnostic biomarkers correlate with immune infiltration in extra-pulmonary tuberculosis by integrating bioinformatics and machine learning.Frontiers in microbiology · 2024Article
- Advancing personalized medicine for tuberculosis through the application of immune profiling.Frontiers in cellular and infection microbiology · 2023Review
- Reanalysis and validation of the transcriptional pleural fluid signature in pleural tuberculosis.Frontiers in immunology · 2023Article
- Discovering common pathogenetic processes between COVID-19 and tuberculosis by bioinformatics and system biology approach.Frontiers in cellular and infection microbiology · 2023Article
- Candidate genes and sequence variants for susceptibility to mycobacterial infection identified by whole-exome sequencing.Frontiers in genetics · 2022Article
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17 authors.
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Abstract
Tuberculosis (TB) remains a major global threat and diagnosis of active TB ((ATB) both extra-pulmonary (EPTB), pulmonary (PTB)) and latent TB (LTBI) infection remains challenging, particularly in high-burden countries which still rely heavily on conventional methods. Although molecular diagnostic methods are available, e.g., Cepheid GeneXpert, they are not universally available in all high TB burden countries. There is intense focus on immune biomarkers for use in TB diagnosis, which could provide alternative low-cost, rapid diagnostic solutions. In our previous gene expression studies, we identified peripheral blood leukocyte (PBL) mRNA biomarkers in a non-human primate TB aerosol-challenge model. Here, we describe a study to further validate select mRNA biomarkers from this prior study in new cohorts of patients and controls, as a prerequisite for further development. Whole blood mRNA was purified from ATB patients recruited in the UK and India, LTBI and two groups of controls from the UK (i) a low TB incidence region (CNTRLA) and (ii) individuals variably-domiciled in the UK and Asia ((CNTRLB), the latter TB high incidence regions). Seventy-two mRNA biomarker gene targets were analyzed by qPCR using the Roche Lightcycler 480 qPCR platform and data analyzed using GeneSpring™ 14.9 bioinformatics software. Differential expression of fifty-three biomarkers was confirmed between MTB infected, LTBI groups and controls, seventeen of which were significant using analysis of variance (ANOVA): CALCOCO2, CD52, GBP1, GBP2, GBP5, HLA-B, IFIT3, IFITM3, IRF1, LOC400759 (GBP1P1), NCF1C, PF4V1, SAMD9L, S100A11, TAF10, TAPBP, and TRIM25. These were analyzed using receiver operating characteristic (ROC) curve analysis. Single biomarkers and biomarker combinations were further assessed using simple arithmetic algorithms. Minimal combination biomarker panels were delineated for primary diagnosis of ATB (both PTB and EPTB), LTBI and identifying LTBI individuals at high risk of progression which showed good performance characteristics. These were assessed for suitability for progression against the standards for new TB diagnostic tests delineated in the published World Health Organization (WHO) technology product profiles (TPPs).
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