ArticlePloS one2014
Identification of a 251 gene expression signature that can accurately detect M. tuberculosis in patients with and without HIV co-infection.
Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 3 of them syntheses that pooled it.
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Who cites it
22 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- Meta-Analysis of Peripheral Blood Transcriptome Datasets Reveals a Biomarker Panel for Tuberculosis in Patients Infected With HIV.Frontiers in cellular and infection microbiology · 2021Pooled it
- Pooled it
- Genome-wide expression for diagnosis of pulmonary tuberculosis: a multicohort analysis.The Lancet. Respiratory medicine · 2016Pooled it
- Defining hypoxia in cancer: A landmark evaluation of hypoxia gene expression signatures.Cell genomics · 2025Article
- Specific human gene expression in response to infection is an effective marker for diagnosis of latent and active tuberculosis.Scientific reports · 2024Article
- Identification of cytokine signatures in HIV‑infected individuals with and withoutBiomedical reports · 2024Article
- Differential Expression of lncRNAs in HIV Patients with TB and HIV-TB with Anti-Retroviral Treatment.Non-coding RNA · 2024Article
- Single-cell profiling reveals distinct subsets of CD14+ monocytes drive blood immune signatures of active tuberculosis.Frontiers in immunology · 2022Article
- An OMICs-based meta-analysis to support infection state stratification.Bioinformatics (Oxford, England) · 2021Article
- Gene Set Enrichment Analysis Reveals Individual Variability in Host Responses in Tuberculosis Patients.Frontiers in immunology · 2021Article
- Dissection of gene expression datasets into clinically relevant interaction signatures via high-dimensional correlation maximization.Nature communications · 2019Article
- Detection of Tuberculosis Recurrence, Diagnosis and Treatment Response by a Blood Transcriptomic Risk Signature in HIV-Infected Persons on Antiretroviral Therapy.Frontiers in microbiology · 2019Article
- Host Transcriptomics as a Tool to Identify Diagnostic and Mechanistic Immune Signatures of Tuberculosis.Frontiers in immunology · 2019Review
- "Tuberculosis in advanced HIV infection is associated with increased expression of IFNγ and its downstream targets".BMC infectious diseases · 2018Article
- Review and Meta-Analyses of TAAR1 Expression in the Immune System and Cancers.Frontiers in pharmacology · 2018Article
- Host sirtuin 1 regulates mycobacterial immunopathogenesis and represents a therapeutic target against tuberculosis.Science immunology · 2017Article
- Diagnostic 'omics' for active tuberculosis.BMC medicine · 2016Review
- Concise gene signature for point-of-care classification of tuberculosis.EMBO molecular medicine · 2016Article
- A curated transcriptome dataset collection to investigate the immunobiology of HIV infection.F1000Research · 2016Article
- Article
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Authors and funding
10 authors.
Funding
Abstract
backgroundCo-infection with tuberculosis (TB) is the leading cause of death in HIV-infected individuals. However, diagnosis of TB, especially in the presence of an HIV co-infection, can be limiting due to the high inaccuracy associated with the use of conventional diagnostic methods. Here we report a gene signature that can identify a tuberculosis infection in patients co-infected with HIV as well as in the absence of HIV.
methodsWe analyzed global gene expression data from peripheral blood mononuclear cell (PBMC) samples of patients that were either mono-infected with HIV or co-infected with HIV/TB and used support vector machines to identify a gene signature that can distinguish between the two classes. We then validated our results using publically available gene expression data from patients mono-infected with TB.
resultsOur analysis successfully identified a 251-gene signature that accurately distinguishes patients co-infected with HIV/TB from those infected with HIV only, with an overall accuracy of 81.4% (sensitivity = 76.2%, specificity = 86.4%). Furthermore, we show that our 251-gene signature can also accurately distinguish patients with active TB in the absence of an HIV infection from both patients with a latent TB infection and healthy controls (88.9-94.7% accuracy; 69.2-90% sensitivity and 90.3-100% specificity). We also demonstrate that the expression levels of the 251-gene signature diminish as a correlate of the length of TB treatment.
conclusionsA 251-gene signature is described to (a) detect TB in the presence or absence of an HIV co-infection, and (b) assess response to treatment following anti-TB therapy.
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