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Identification of an eight-protein biosignature for the diagnosis of tuberculosis

ABSTRACT: Identification of an eight-protein biosignature for the diagnosis of tuberculosis

PROVIDER: PRJNA550450 | ENA |

REPOSITORIES: ENA

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Identification of an eight-protein biosignature for the diagnosis of tuberculosis

Project description:Mycobacterium tuberculosis (Mtb) antigen-specific cellular response is promising for detectionof Mtb infection, but not efficient for diagnosis of TB. We firstly identified 16 TB disease-specific protein markers measured in the culture supernatant of Mtb-stimulated whole blood using a 640 human proteins array, the highest throughput antibody-based protein array available at the time when we did this study. Potential TB-related proteins were then analyzed across three different patient cohorts comprised of healthy controls, LTBI, non-TB pneumonia, and TB patients to evaluate how the biomarkers performed in diagnosing TB in the real clinical setting. The data finally reveal an eight-protein biosignature of TB.

2019-06-25 | GSE133249 | GEO

Identification of an eight-protein biosignature for the diagnosis of tuberculosis II

2019-12-12 | GSE141848 | GEO

Identification of an eight-protein biosignature for the diagnosis of tuberculosis II

Project description:Identification of an eight-protein biosignature for the diagnosis of tuberculosis II

| PRJNA594955 | ENA

Identification of novel salivary candidate protein biomarkers for tuberculosis diagnosis: a preliminary biomarker discovery study.

Project description:Abstract Background There is an urgent need for new, accurate, rapid, and affordable tuberculosis (TB) diagnostic tests. The aim of the present study was to use mass spectrometry to identify new preliminary candidate TB diagnostic protein biomarkers in saliva obtained from individuals with TB, and patients with other respiratory diseases (ORD). Methods Saliva samples were collected from 22 individuals who self-presented with symptoms suggestive of TB as part of a larger TB biomarker project. Purified salivary proteins were subjected to tryptic digestion peptides were analysed using a QExactive Orbitrap Mass Spectrometer. Identified proteins were subjected to gene ontology and ingenuity pathway analysis for functional enrichment analysis. Results 26 of the 652 identified proteins significantly discriminated individuals with TB from those with ORD after Benjamini Hochberg correction (5% FDR), with five of these proteins diagnosing TB with an AUC ≥ 0.80. A 5-protein biosignature comprising of P01011, Q8NCW5, P28072, A0A2Q2TTZ9, and Q99574 diagnosed TB with an AUC of 1.00 (95% CI, 1.00-1.00), sensitivity of 100% (95% CI, 76.2-100%) and specificity of 90.9% (95% CI, 58.7-99.8%) after leave-one-out cross validation. Conclusions We identified novel candidate salivary protein biomarkers and biosignatures with strong potential as TB diagnostic candidates. Our results are preliminary and require validation in larger studies.

2021-08-05 | PXD027294 | Pride

Blood transcriptomics for diagnosis, risk, and treatment monitoring in tuberculosis reveal the evolution and resolution of TB disease: Does one signature capture all?

Project description:Characterization of Tuberculosis (TB) progression, diagnosis and treatment response with blood transcriptional RNA-seq analyses. Focus and underlying host immunological response and identification of new signatures for TB early diagnosis and treatment monitoring response.

2021-09-04 | GSE157657 | GEO

Transcriptional profiles predict treatment outcome in patients with tuberculosis and diabetes at diagnosis and at two weeks after initiation of anti-tuberculosis treatment

Project description:Globally, the anti-tuberculosis (TB) treatment success rate is approximately 85%, with treatment failure, relapse and death occurring in a significant proportion of pulmonary TB patients. Treatment success rates are lower among people with diabetes mellitus (DM). Predicting treatment failure early after diagnosis would allow early treatment adaptation and may improve global TB control. Methods Samples were collected in a longitudinal cohort study of adult TB patients with or without concomitant DM from South Africa and Indonesia to characterize whole blood transcriptional profiles before and during anti-TB treatment, using unbiased RNA-Seq and targeted gene dcRT-MLPA. Findings We report differences in whole blood transcriptome profiles between patients with a good versus poor anti-TB treatment outcome, which were observed before initiation of treatment and throughout treatment. An eight-gene and 22-gene blood transcriptional signatures distinguished patients with a good treatment outcome from patients with a poor treatment outcome at diagnosis (AUC=0·815) or two weeks (AUC=0·834) after initiation of anti-TB treatment, respectively. Importantly, high accuracy was obtained by cross-validating this signature in an external cohort (AUC=0·749). Interpretation These findings suggest that transcriptional profiles can be used as a prognostic biomarker for treatment failure and success, even in patients with concomitant DM.

2022-08-02 | GSE193979 | GEO

High sensitivity and specificity of a 5-analyte protein and microRNA biosignature for identification of active tuberculosis.

Project description:ObjectivesNon-sputum-based tests to accurately identify active tuberculosis (TB) disease and monitor response to therapy are urgently needed. This study examined the biomarker capacity of a panel of plasma proteins alone, and in conjunction with a previously identified miRNA signature, to identify active TB disease.MethodsThe expression of nine proteins (IP-10, MCP-1, sTNFR1, RANTES, VEGF, IL-6, IL-10, TNF and Eotaxin) was measured in the plasma of 100 control subjects and 100 TB patients, at diagnosis (treatment naïve) and over the course of treatment (1-, 2- and 6-month intervals). The diagnostic performance of the nine proteins alone, and with the miRNA, was assessed.ResultsSix proteins were significantly up-regulated in the plasma of TB patients at diagnosis compared to controls. Receiver operator characteristic curve analysis demonstrated that IP-10 with an AUC = 0.874, sensitivity of 75% and specificity of 87% was the best single biomarker candidate to distinguish TB patients from controls. IP-10 and IL-6 levels fell significantly within one month of commencing treatment and may have potential as indicators of a positive response to therapy. The combined protein and miRNA panel gave an AUC of 1.00. A smaller panel of only five analytes (IP-10, miR-29a, miR-146a, miR-99b and miR-221) showed an AUC = 0.995, sensitivity of 96% and specificity of 97%.ConclusionsA novel combination of miRNA and proteins significantly improves the sensitivity and specificity as a biosignature over single biomarker candidates and may be useful for the development of a non-sputum test to aid the diagnosis of active TB disease.

| S-EPMC8219900 | biostudies-literature

Proteomic characterisation of bovine and avian purified protein derivatives and identification of specific antigens for serodiagnosis of bovine tuberculosis

Project description:Bovine purified protein derivative (bPPD) and avian purified protein derivative (aPPD) arewidely used forbovine tuberculosis diagnosis. However, little is known about their qualitative and quantitative characteristics, which makes their standardisation difficult. In addition, bPPDcan give false-positive tuberculosis results because of sequence homologybetween Mycobacterium bovis andM. avium proteins. Here we used proteomics to characterisebPPD, aPPD and an immunopurifiedsubcomplexfrombPPD called P22.

2018-11-22 | PXD007766 | Pride

Gene expression profiling of tuberculosis patients from India

Project description:Whole genome microarray expression profiling was employed to identify differential gene expression profiles characteristic of tuberculosis patients in the South-Indian cohort. Whole blood samples were extracted from tuberculosis patients at the time of diagnosis and from healthy controls. The experiment served to validate computational predictions from a meta-analysis study of host transcriptional profiles in tuberculosis.

2016-05-24 | GSE81746 | GEO

Serological microRNAs as biomarkers for the diagnosis of adolescent tuberculosis infection in pleura

Project description:We used human miRNA arrays to explore the miRNA expression profile in pulmonary tuberculosis patients (PTB), pulmonary with pleural tuberculosis patients (PPLTB) and non-tuberculous pleurisy patients (NTP).

2023-07-31 | GSE179816 | GEO

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