ArticleThorax2020
Identification of eight-protein biosignature for diagnosis of tuberculosis.
Article in Thorax, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.
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Who cites it
29 citing papers in PubMed, 50 citations in OpenAlex.
- Host Plasma Protein Biomarkers for Tuberculosis Disease Screening in Febrile Adults in Tanzania.The Journal of infectious diseases · 2026Article
- Identification of serum tRNA-derived small RNAs biosignature for diagnosis of tuberculosis.Emerging microbes & infections · 2025Article
- Full-Blood Inflammatory Ratios Predict Length of Stay but Not Early Death in Romanian Pulmonary Tuberculosis.Medicina (Kaunas, Lithuania) · 2025Article
- Reliable, accessible, cost-effective, & easy (RACE) diagnostic modality: A key for elimination of tuberculosis.The Indian journal of medical research · 2025Review
- Cell-free DNA next-generation sequencing for Mycobacterium tuberculosis obtained from plasma of children with active tuberculosis.BMC pediatrics · 2025Article
- Identification and assessment of hub genes and miRNAs coregulatory associated with immune infiltrations and drug interactions in latent tuberculosis based on MicroarrayData analysis, molecular docking, and dynamic simulation.Biochemistry and biophysics reports · 2025Article
- A naked-eye biosensing system based on one-pot RPA-CRISPR/Cas12a driver G4-hemin self-assembly forFrontiers in chemistry · 2025Article
- Systemic and cerebrospinal fluid biomarkers for tuberculous meningitis identification and treatment monitoring.Microbiology spectrum · 2024Article
- Article
- Diagnostic performance of host protein signatures as a triage test for active pulmonary TB.Journal of clinical microbiology · 2023Article
- Diagnosis and biomarkers for ocular tuberculosis: From the present into the future.Theranostics · 2023Review
- Development of a new cellular immunological detection method for tuberculosis based on HupB protein induced IL-6 release test.Frontiers in microbiology · 2023Article
- Development of diagnostic algorithm using machine learning for distinguishing between active tuberculosis and latent tuberculosis infection.BMC infectious diseases · 2022Article
- Combining metabolome and clinical indicators with machine learning provides some promising diagnostic markers to precisely detect smear-positive/negative pulmonary tuberculosis.BMC infectious diseases · 2022Article
- Diagnosis of pulmonary tuberculosis via identification of core genes and pathways utilizing blood transcriptional signatures: a multicohort analysis.Respiratory research · 2022Article
- Deciphering a TB-related DNA methylation biomarker and constructing a TB diagnostic classifier.Molecular therapy. Nucleic acids · 2022Article
- Proteomics in Biomarker Discovery for Tuberculosis: Current Status and Future Perspectives.Frontiers in microbiology · 2022Review
- A systematic review of potential screening biomarkers for active TB disease.Journal of clinical tuberculosis and other mycobacterial diseases · 2021Review
- Dried blood sample analysis by antibody array across the total testing process.Scientific reports · 2021Article
- Perspectives for systems biology in the management of tuberculosis.European respiratory review : an official journal of the European Respiratory Society · 2021Review
Corrections and comments
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Authors and funding
14 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundBiomarker-based tests for diagnosing TB currently rely on detecting
methodsWe prospectively enrolled three cohorts for our study for a total of 630 subjects, including 160 individuals to screen protein biomarkers of TB, 368 individuals to establish and test the predictive model and 102 individuals for biomarker validation. Whole blood cultures were stimulated with pooled Mtb-peptides or mitogen, and 640 proteins within the culture supernatant were analysed simultaneously using an antibody-based array. Sixteen candidate biomarkers of TB identified during screening were then developed into a custom multiplexed antibody array for biomarker validation.
resultsA two-round screening strategy identified eight-protein biomarkers of TB: I-TAC, I-309, MIG, Granulysin, FAP, MEP1B, Furin and LYVE-1. The sensitivity and specificity of the eight-protein biosignature in diagnosing TB were determined for the training (n=276), test (n=92) and prediction (n=102) cohorts. The training cohort had a 100% specificity (95% CI 98% to 100%) and 100% sensitivity (95% CI 96% to 100%) using a random forest algorithm approach by cross-validation. In the test cohort, the specificity and sensitivity were 83% (95% CI 71% to 91%) and 76% (95% CI 56% to 90%), respectively. In the prediction cohort, the specificity was 84% (95% CI 74% to 92%) and the sensitivity was 75% (95% CI 57% to 89%).
conclusionsAn eight-protein biosignature to diagnose TB in a high-burden TB clinical setting was identified.
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