Journal
FRONTIERS IN IMMUNOLOGY
Volume 12, Issue -, Pages -Publisher
FRONTIERS MEDIA SA
DOI: 10.3389/fimmu.2021.637164
Keywords
tuberculosis; transcriptomics; dPCR; gene expression; signatures; biomarkers
Categories
Funding
- EU Action for Diseases of Poverty program [Sante/2006/105-061]
- Wellcome Trust, UK [104803, 203135, 079828/079827]
- Francis Crick Institute - Cancer Research UK [FC00110218]
- UK Medical Research Council [FC00110218]
- Wellcome Trust [FC00110218, 206508/Z/17/Z]
- Imperial College BRC
- Wellcome Trust [206508/Z/17/Z] Funding Source: Wellcome Trust
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The study identified four-transcript and three-transcript signatures that can distinguish tuberculosis patients from those with other diseases or latent tuberculosis infection, offering strong quantitative support for their use as diagnostic biomarkers for tuberculosis.
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 (GBP6, TMCC1, PRDM1, and ARG1) measured using RT-dPCR distinguished TB patients from those with OD (area under the curve (AUC) 93.8% (CI95% 82.2-100%). A three-transcript signature (FCGR1A, ZNF296, and C1QB) differentiated TB from LTBI (AUC 97.3%, CI95%: 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.
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