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Adapting Microarray Gene Expression Signatures for Early Melioidosis Diagnosis
Author(s) -
Ornuma Sangwichian,
Toni Whistler,
Ar Nithicha,
Chidchamai Kewcharoenwong,
Myint Myint Sein,
Chawitar Arayanuphum,
Narisara Chantratita,
Ganjana Lertmemongkolchai
Publication year - 2020
Publication title -
journal of clinical microbiology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.349
H-Index - 255
eISSN - 1070-633X
pISSN - 0095-1137
DOI - 10.1128/jcm.01906-19
Subject(s) - melioidosis , burkholderia pseudomallei , septic shock , gold standard (test) , sepsis , disease , medicine , biology , immunology , microbiology and biotechnology , intensive care medicine , pathology , bacteria , genetics
Melioidosis is caused by Burkholderia pseudomallei and is predominantly seen in tropical regions. The clinical signs and symptoms of the disease are nonspecific and often result in misdiagnosis, failure of treatment, and poor clinical outcome. Septicemia with septic shock is the most common cause of death, with mortality rates above 40%. Bacterial culture is the gold standard for diagnosis, but it has low sensitivity and takes days to produce definitive results. Early laboratory diagnosis can help guide physicians to provide treatment specific to B. pseudomallei In our study, we adapted host gene expression signatures obtained from microarray data of B. pseudomallei -infected cases to develop a real-time PCR diagnostic test using two differentially expressed genes, AIM2 ( a bsent i n m elanoma 2) and FAM26F ( fam ily with sequence similarity 26 , member F ). We tested blood from 33 patients with B. pseudomallei infections and 29 patients with other bacterial infections to validate the test and determine cutoff values for use in a cascading diagnostic algorithm. Differentiation of septicemic melioidosis from other sepsis cases had a sensitivity of 82%, specificity of 93%, and negative and positive predictive values (NPV and PPV) of 82% and 93%, respectively. Separation of cases likely to be melioidosis from those unlikely to be melioidosis in nonbacteremic situations showed a sensitivity of 40%, specificity of 54%, and NPV and PPV of 44% and 50%, respectively. We suggest that our AIM2 and FAM26F expression combination algorithm could be beneficial for early melioidosis diagnosis, offering a result within 24 h of admission.

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