2019
DOI: 10.15252/emmm.201910431
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Diagnostic host gene signature for distinguishing enteric fever from other febrile diseases

Abstract: 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 distinguish culture‐confirmed enteric fever cases from other febrile illnesses (area under receiver operating characteristic curve > 95%). Applying this signature to a culture‐negative suspected enteric fever cohort in Nepal identi… Show more

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Cited by 18 publications
(10 citation statements)
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“…Kanniappan et al first used small RNAs (sRNAs) to detect Mycobacterium tuberculosis , demonstrating sensitivity and specificity of over 95% [ 70 ]. In addition, other infectious diseases such as enteric fever and Kawasaki Disease can also be distinguished via specific gene expression signatures [ 71 , 72 ]. The use of these genetic biomarkers will change the current clinical diagnostic criteria for many infectious diseases.…”
Section: Gene Expression Signaturesmentioning
confidence: 99%
“…Kanniappan et al first used small RNAs (sRNAs) to detect Mycobacterium tuberculosis , demonstrating sensitivity and specificity of over 95% [ 70 ]. In addition, other infectious diseases such as enteric fever and Kawasaki Disease can also be distinguished via specific gene expression signatures [ 71 , 72 ]. The use of these genetic biomarkers will change the current clinical diagnostic criteria for many infectious diseases.…”
Section: Gene Expression Signaturesmentioning
confidence: 99%
“…A more recent study investigated five host genes as a signature (STAT1, SLAMF8, PSME2, WARS, and ALDH1A1) that was able to identify enteric fever with 88% specificity and 97% sensitivity [ 156 ]. If these signatures are also observed in different endemic areas, amplification of such genes by qPCR-based diagnostic assay can be developed as a promising diagnostic method.…”
Section: Future Directions For New Diagnostic Developmentmentioning
confidence: 99%
“…Therefore, transcriptomic has been used to generate detailed insights into the human transcriptional response to several diseases [55][56][57][58][59][60] and other alternative immune perturbations [54,[60][61][62]. The human challenge model has been the source of various gene expression datasets, which were generated in a highly controlled setting, allowing the interrogation of the human transcriptional responses to S. Typhi and S. Paratyphi A [59,63,64]. This technique use the response of the host as a possible biomarkers that are specific to identify typhoid fever patients.…”
Section: Transcriptomicsmentioning
confidence: 99%