Diagnostic host gene signature to accurately distinguish enteric fever from other febrile diseases
Misdiagnosis of enteric fever is a major global health problem resulting in patient mismanagement, antimicrobial misuse and inaccurate disease burden estimates. Applying a machine-learning algorithm to host gene expression profiles, we identified a diagnostic signature which could accurately disting...
Main Authors: | , , , , , , , , , , , , , , , , , |
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Format: | Journal article |
Language: | English |
Published: |
EMBO Press
2019
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_version_ | 1797095258095353856 |
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author | Blohmke, CJ Muller, J Gibani, MM Dobinson, H Shrestha, S Perinparajah, S Jin, C Hughes, H Blackwell, L Dongol, S Karkey, A Schreiber, F Pickard, D Basnyat, B Dougan, G Baker, S Pollard, AJ Darton, TC |
author_facet | Blohmke, CJ Muller, J Gibani, MM Dobinson, H Shrestha, S Perinparajah, S Jin, C Hughes, H Blackwell, L Dongol, S Karkey, A Schreiber, F Pickard, D Basnyat, B Dougan, G Baker, S Pollard, AJ Darton, TC |
author_sort | Blohmke, CJ |
collection | OXFORD |
description | Misdiagnosis of enteric fever is a major global health problem resulting in patient mismanagement, antimicrobial misuse and inaccurate disease burden estimates. Applying a machine-learning algorithm to host gene expression profiles, we identified a diagnostic signature which could accurately distinguish culture-confirmed enteric fever cases from other febrile illnesses (AUROC<95%). Applying this signature to a culture-negative suspected enteric fever cohort in Nepal identified a further 12.6% as likely true cases. Our analysis highlights the power of data-driven approaches to identify host-response patterns for the diagnosis of febrile illnesses. Expression signatures were validated using qPCR highlighting their utility as PCR-based diagnostic for use in endemic settings. |
first_indexed | 2024-03-07T04:25:17Z |
format | Journal article |
id | oxford-uuid:cc68cbfa-7a94-420d-82a7-3c0ebb4e30d9 |
institution | University of Oxford |
language | English |
last_indexed | 2024-03-07T04:25:17Z |
publishDate | 2019 |
publisher | EMBO Press |
record_format | dspace |
spelling | oxford-uuid:cc68cbfa-7a94-420d-82a7-3c0ebb4e30d92022-03-27T07:21:46ZDiagnostic host gene signature to accurately distinguish enteric fever from other febrile diseasesJournal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:cc68cbfa-7a94-420d-82a7-3c0ebb4e30d9EnglishSymplectic Elements at OxfordEMBO Press2019Blohmke, CJMuller, JGibani, MMDobinson, HShrestha, SPerinparajah, SJin, CHughes, HBlackwell, LDongol, SKarkey, ASchreiber, FPickard, DBasnyat, BDougan, GBaker, SPollard, AJDarton, TCMisdiagnosis of enteric fever is a major global health problem resulting in patient mismanagement, antimicrobial misuse and inaccurate disease burden estimates. Applying a machine-learning algorithm to host gene expression profiles, we identified a diagnostic signature which could accurately distinguish culture-confirmed enteric fever cases from other febrile illnesses (AUROC<95%). Applying this signature to a culture-negative suspected enteric fever cohort in Nepal identified a further 12.6% as likely true cases. Our analysis highlights the power of data-driven approaches to identify host-response patterns for the diagnosis of febrile illnesses. Expression signatures were validated using qPCR highlighting their utility as PCR-based diagnostic for use in endemic settings. |
spellingShingle | Blohmke, CJ Muller, J Gibani, MM Dobinson, H Shrestha, S Perinparajah, S Jin, C Hughes, H Blackwell, L Dongol, S Karkey, A Schreiber, F Pickard, D Basnyat, B Dougan, G Baker, S Pollard, AJ Darton, TC Diagnostic host gene signature to accurately distinguish enteric fever from other febrile diseases |
title | Diagnostic host gene signature to accurately distinguish enteric fever from other febrile diseases |
title_full | Diagnostic host gene signature to accurately distinguish enteric fever from other febrile diseases |
title_fullStr | Diagnostic host gene signature to accurately distinguish enteric fever from other febrile diseases |
title_full_unstemmed | Diagnostic host gene signature to accurately distinguish enteric fever from other febrile diseases |
title_short | Diagnostic host gene signature to accurately distinguish enteric fever from other febrile diseases |
title_sort | diagnostic host gene signature to accurately distinguish enteric fever from other febrile diseases |
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