Imperial College London

ProfessorElaineHolmes

Faculty of MedicineDepartment of Metabolism, Digestion and Reproduction

Professor of Chemical Biology
 
 
 
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Contact

 

+44 (0)20 7594 3220elaine.holmes

 
 
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Location

 

661Sir Alexander Fleming BuildingSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@article{Andreas:2020:10.1038/s41598-020-64413-6,
author = {Andreas, NJ and Roy, RB and Gomez-Romero, M and Horneffer-van, der Sluis V and Lewis, MR and Camuzeaux, SSM and Jimenez, B and Posma, JM and Tientcheu, L and Egere, U and Sillah, A and Togun, T and Holmes, E and Kampmann, B},
doi = {10.1038/s41598-020-64413-6},
journal = {Scientific Reports},
pages = {1--11},
title = {Performance of metabonomic serum analysis for diagnostics in paediatric tuberculosis},
url = {http://dx.doi.org/10.1038/s41598-020-64413-6},
volume = {10},
year = {2020}
}

RIS format (EndNote, RefMan)

TY  - JOUR
AB - We applied a metabonomic strategy to identify host biomarkers in serum to diagnose paediatric tuberculosis (TB) disease. 112 symptomatic children with presumptive TB were recruited in The Gambia and classified as bacteriologically-confirmed TB, clinically diagnosed TB, or other diseases. Sera were analysed using 1H nuclear magnetic resonance (NMR) spectroscopy and mass spectrometry (MS). Multivariate data analysis was used to distinguish patients with TB from other diseases. Diagnostic accuracy was evaluated using Receiver Operating Characteristic (ROC) curves. Model performance was tested in a validation cohort of 36 children from the UK. Data acquired using 1H NMR demonstrated a sensitivity, specificity and Area Under the Curve (AUC) of 69% (95% confidence interval [CI], 56–73%), 83% (95% CI, 73–93%), and 0.78 respectively, and correctly classified 20% of the validation cohort from the UK. The most discriminatory MS data showed a sensitivity of 67% (95% CI, 60–71%), specificity of 86% (95% CI, 75–93%) and an AUC of 0.78, correctly classifying 83% of the validation cohort. Amongst children with presumptive TB, metabolic profiling of sera distinguished bacteriologically-confirmed and clinical TB from other diseases. This novel approach yielded a diagnostic performance for paediatric TB comparable to that of Xpert MTB/RIF and interferon gamma release assays.
AU - Andreas,NJ
AU - Roy,RB
AU - Gomez-Romero,M
AU - Horneffer-van,der Sluis V
AU - Lewis,MR
AU - Camuzeaux,SSM
AU - Jimenez,B
AU - Posma,JM
AU - Tientcheu,L
AU - Egere,U
AU - Sillah,A
AU - Togun,T
AU - Holmes,E
AU - Kampmann,B
DO - 10.1038/s41598-020-64413-6
EP - 11
PY - 2020///
SN - 2045-2322
SP - 1
TI - Performance of metabonomic serum analysis for diagnostics in paediatric tuberculosis
T2 - Scientific Reports
UR - http://dx.doi.org/10.1038/s41598-020-64413-6
UR - http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000560745200007&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=1ba7043ffcc86c417c072aa74d649202
UR - https://www.nature.com/articles/s41598-020-64413-6
UR - http://hdl.handle.net/10044/1/84093
VL - 10
ER -