Imperial College London
Alternate

DrLachlanCoin

Faculty of Medicine, Department of Infectious Disease

Honorary Senior Lecturer
 
 
 
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Contact

 

+44 (0)20 7594 1930l.coin

 
 
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Location

 

172Medical SchoolSt Mary's Campus

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Summary

 

Publications

Citation

BibTex format

@article{Gliddon:2021:10.3389/fimmu.2021.637164,
author = {Gliddon, H and Kaforou, M and Alikian, M and Coote, D and Zhou, C and Oni, T and Anderson, ST and Brent, AJ and Crampin, AC and Eley, B and Heyderman, R and Langford, PR and Kern, F and Ottenhoff, THM and Hibberd, ML and French, N and Wright, V and Dockrell, HM and Coin, L and Wilkinson, R and Levin, M},
doi = {10.3389/fimmu.2021.637164},
journal = {Frontiers in Immunology},
title = {Identification of reduced host transcriptomic signatures for tuberculosis disease and digital PCR-based validation and quantification},
url = {http://dx.doi.org/10.3389/fimmu.2021.637164},
volume = {12},
year = {2021}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - 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.
AU  - Gliddon,H
AU  - Kaforou,M
AU  - Alikian,M
AU  - Coote,D
AU  - Zhou,C
AU  - Oni,T
AU  - Anderson,ST
AU  - Brent,AJ
AU  - Crampin,AC
AU  - Eley,B
AU  - Heyderman,R
AU  - Langford,PR
AU  - Kern,F
AU  - Ottenhoff,THM
AU  - Hibberd,ML
AU  - French,N
AU  - Wright,V
AU  - Dockrell,HM
AU  - Coin,L
AU  - Wilkinson,R
AU  - Levin,M
DO  - 10.3389/fimmu.2021.637164
PY  - 2021///
SN  - 1664-3224
TI  - Identification of reduced host transcriptomic signatures for tuberculosis disease and digital PCR-based validation and quantification
T2  - Frontiers in Immunology
UR  - http://dx.doi.org/10.3389/fimmu.2021.637164
UR  - http://hdl.handle.net/10044/1/87734
VL  - 12
ER  -
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