About: Establishment a real-time reverse transcription PCR based on host biomarkers for the detection of the subclinical cases of Mycobacterium avium subsp. paratuberculosis

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About: Establishment a real-time reverse transcription PCR based on host biomarkers for the detection of the subclinical cases of Mycobacterium avium subsp. paratuberculosis Goto Sponge NotDistinct Permalink

An Entity of Type : schema:ScholarlyArticle, within Data Space : covidontheweb.inria.fr associated with source document(s)

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type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
title	Establishment a real-time reverse transcription PCR based on host biomarkers for the detection of the subclinical cases of Mycobacterium avium subsp. paratuberculosis
Creator	Park, Hong-Tae Park, Hyun-Eui Jung, Young Yoo, Han
source	PMC
abstract	Bovine paratuberculosis (PTB) is a chronic enteric inflammatory disease of ruminants caused by Mycobacterium avium subsp. paratuberculosis (MAP) that causes large economic losses in the dairy industry. Spread of PTB is mainly provoked by a long subclinical stage during which MAP is shed into the environment with feces; accordingly, detection of subclinical animals is very important to its control. However, current diagnostic methods are not suitable for detection of subclinical animals. Therefore, the current study was conducted to develop a diagnostic method for analysis of the expression of genes of prognostic potential biomarker candidates in the whole blood of cattle naturally infected with MAP. Real-time PCR with nine potential biomarker candidates was developed for the diagnosis of MAP subclinical infection. Animals were divided into four groups based on fecal MAP PCR and serum ELISA. Eight genes (Timp1, Hp, Serpine1, Tfrc, Mmp9, Defb1, Defb10, and S100a8) were up-regulated in MAP-infected cattle (p <0.05). Moreover, ROC analysis revealed that eight genes (Timp1, Hp, Serpine1, Tfrc, Mmp9, Defb1, Defb10, and S100a8) showed fair diagnostic performance (AUC≥0.8). Four biomarkers (Timp1, S100a8, Defb1, and Defb10) showed the highest diagnostic accuracy in the PCR positive and ELISA negative group (PN group) and three biomarkers (Tfrc, Hp, and Serpine1) showed the highest diagnostic accuracy in the PCR negative and ELISA positive group (NP group). Moreover, three biomarkers (S100a8, Hp, and Defb10) were considered the most reliable for the PCR positive and ELISA positive group (PP group). Taken together, our data suggest that real-time PCR based on eight biomarkers (Timp1, Hp, Serpine1, Tfrc, Mmp9, Defb1, Defb10, and S100a8) might be useful for diagnosis of JD, including subclinical stage cases.
has issue date	2017-05-25(xsd:dateTime)
bibo:doi	10.1371/journal.pone.0178336
bibo:pmid	28542507
has license	cc-by
sha1sum (hex)	14f427656a9898ce76f31cb012f258a9aa6d1ce3
schema:url	https://doi.org/10.1371/journal.pone.0178336
resource representing a document's title	Establishment a real-time reverse transcription PCR based on host biomarkers for the detection of the subclinical cases of Mycobacterium avium subsp. paratuberculosis
has PubMed Central identifier	PMC5444815
has PubMed identifier	28542507
schema:publication	PLoS One
resource representing a document's body	covid:14f427656a9898ce76f31cb012f258a9aa6d1ce3#body_text
is schema:about of	named entity 'S100a8' named entity 'Bovine' named entity 'performance' named entity 'subclinical' named entity 'potential' named entity 'dairy industry' named entity 'biomarkers' named entity 'negative' named entity 'paratuberculosis' named entity 'Mmp9' covid:arg/14f427656a9898ce76f31cb012f258a9aa6d1ce3 named entity 'control' named entity 'group' named entity 'Tfrc' named entity 'detection' named entity 'divided' named entity 'infected' named entity 'Mmp9' named entity 'MAP' named entity 'S100a8' named entity 'animals' named entity 'genes' named entity 'group' named entity 'PTB' named entity 'Four' named entity 'reliable' named entity 'MAP' named entity 'group' named entity 'subclinical' named entity 'fair' named entity 'ruminants' named entity 'host' named entity 'subclinical' named entity 'paratuberculosis' named entity 'Timp1' named entity 'PCR' named entity 'PCR' named entity 'inflammatory disease' named entity 'cattle' named entity 'S100a8' named entity 'biomarker' named entity 'biomarkers' named entity 'S100a8' named entity 'biomarkers' named entity 'Mycobacterium avium subsp. paratuberculosis' named entity 'reverse transcription PCR' named entity 'biomarkers' named entity 'Transcriptional' named entity 'biomarker' named entity 'Statistical significance' named entity 'veterinary medicine' named entity 'heterodimers' named entity 'ROC curve' named entity 'macrophages' named entity 'AUC' named entity 'infection' named entity 'cattle' named entity 'acute phase protein' named entity 'leukocyte' named entity 'biomarker' named entity 'up-regulation' named entity 'negative control' named entity 'butyrate' named entity 'inflammatory conditions' named entity 'PCR' named entity 'PCR' named entity 'interferon gamma' named entity 'Biomarkers' named entity 'AUC' named entity 'subclinical' named entity 'diarrhea' named entity 'RNA' named entity 'AUC' named entity 'leucine' named entity 'La Jolla' named entity 'S100a8' named entity 'Biomarkers' named entity 'diagnostic accuracy'

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