Identification of Reduced Host Transcriptomic Signatures for Tuberculosis Disease and Digital PCR-Based Validation and Quantification

Recently, host whole blood gene expression signatures have been identified for diagnosis of tuberculosis (TB). Absolute quantification of the concentrations of signature transcripts in blood have not been reported, but would facilitate diagnostic test development. To identify minimal transcript sign...

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Bibliographic Details
Published in:Frontiers in immunology 2021-03, Vol.12, p.637164-637164
Main Authors: Gliddon, Harriet D, Kaforou, Myrsini, Alikian, Mary, Habgood-Coote, Dominic, Zhou, Chenxi, Oni, Tolu, Anderson, Suzanne T, Brent, Andrew J, Crampin, Amelia C, Eley, Brian, Heyderman, Robert, Kern, Florian, Langford, Paul R, Ottenhoff, Tom H M, Hibberd, Martin L, French, Neil, Wright, Victoria J, Dockrell, Hazel M, Coin, Lachlan J, Wilkinson, Robert J, Levin, Michael
Format: Article
Language:English
Subjects:
biomarkers
dPCR
gene expression
Immunology
signatures
transcriptomics
tuberculosis
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Summary:Recently, host whole blood gene expression signatures have been identified for diagnosis of tuberculosis (TB). Absolute quantification of the concentrations of signature transcripts in blood have not been reported, but would facilitate diagnostic test development. To identify minimal transcript signatures, we applied a transcript selection procedure to microarray data from African adults comprising 536 patients with TB, other diseases (OD) and latent TB (LTBI), divided into training and test sets. Signatures were further investigated using reverse transcriptase (RT)-digital PCR (dPCR). A four-transcript signature ( , and ) measured using RT-dPCR distinguished TB patients from those with OD (area under the curve (AUC) 93.8% (CI 82.2-100%). A three-transcript signature ( ) differentiated TB from LTBI (AUC 97.3%, CI : 93.3-100%), regardless of HIV. These signatures have been validated across platforms and across samples offering strong, quantitative support for their use as diagnostic biomarkers for TB.
ISSN:1664-3224
1664-3224
DOI:10.3389/fimmu.2021.637164