Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/26246
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dc.contributor.authorCharlesworth, Richard P Gen
dc.contributor.authorAgnew, Linda Len
dc.contributor.authorScott, David Ren
dc.contributor.authorAndronicos, Nicholas Men
dc.date.accessioned2019-01-10T01:28:50Z-
dc.date.available2019-01-10T01:28:50Z-
dc.identifier.citationJournal of Gastroenterology and Hepatology, p. 1-9en
dc.identifier.issn0815-9319en
dc.identifier.issn1440-1746en
dc.description.abstractBackground and Aim: The diagnosis of celiac disease autoimmune pathology relies on the subjective histological assignment of biopsies into Marsh score categories. It is hypothesized that Marsh score categories have unique gene expression signatures. The aims were as follows: first, to develop a celiac disease quantitative reverse transcription–polymerase chain reaction (RT-PCR) array; second, define gene expression signatures associated with Marsh score categories; and third, develop equations that classify biopsies into Marsh score categories and to monitor the efficacy of patient treatment. Methods: Gene targets for inclusion in the celiac RT-PCR (qRT-PCR) array were identified using systematic analysis of published celiac transcriptomic data. The array was used to assess the gene expression associated with histological changes in duodenal biopsies obtained from adult patients. Finally, Marsh score classification equations were defined using discriminant analysis. Results: The array contained 87 genes. The expression of 26 genes were significantly (p < 0.06) associated with the discrete Marsh score categories. As the Marsh score pathology of biopsies increased, there was a progression of innate immune gene expression through adaptive Th1-specific gene expression with a concurrent decrease in intestinal structural gene expression in high Marsh score samples. These 26 genes were used to define classification equations that accounted for 99% of the observed experimental variation and which could classify biopsies into Marsh score categories and monitor patient treatment progression. Conclusions: This proof-of-concept study successfully developed a celiac RT-PCR array and has provided evidence that discriminant equations defined using gene expression data can objectively and accurately classify duodenal biopsies into Marsh score categories.en
dc.languageenen
dc.publisherWiley-Blackwell Publisher Asiaen
dc.relation.ispartofJournal of Gastroenterology and Hepatologyen
dc.titleCeliac disease gene expression data can be used to classify biopsies along the Marsh score severity scaleen
dc.typeJournal Articleen
dc.identifier.doi10.1111/jgh.14369en
dc.subject.keywordsAutoimmunityen
dc.subject.keywordsPathology (excl. Oral Pathology)en
dc.subject.keywordsMedical Biotechnology Diagnostics (incl. Biosensors)en
local.contributor.firstnameRichard P Gen
local.contributor.firstnameLinda Len
local.contributor.firstnameDavid Ren
local.contributor.firstnameNicholas Men
local.subject.for2008100402 Medical Biotechnology Diagnostics (incl. Biosensors)en
local.subject.for2008110316 Pathology (excl. Oral Pathology)en
local.subject.for2008110703 Autoimmunityen
local.subject.seo2008920105 Digestive System Disordersen
local.subject.seo2008920108 Immune System and Allergyen
local.profile.schoolSchool of Science and Technologyen
local.profile.schoolSchool of Science and Technologyen
local.profile.schoolSchool of Science and Technologyen
local.profile.emailrcharle3@une.edu.auen
local.profile.emaillagnew2@une.edu.auen
local.profile.emaildscott39@myune.edu.auen
local.profile.emailnandroni@une.edu.auen
local.output.categoryC1en
local.record.placeauen
local.record.institutionUniversity of New Englanden
local.publisher.placeAustraliaen
local.format.startpage1en
local.format.endpage9en
local.peerreviewedYesen
local.contributor.lastnameCharlesworthen
local.contributor.lastnameAgnewen
local.contributor.lastnameScotten
local.contributor.lastnameAndronicosen
dc.identifier.staffune-id:rcharle3en
dc.identifier.staffune-id:lagnew2en
dc.identifier.staffune-id:dscott39en
dc.identifier.staffune-id:nandronien
local.profile.orcid0000-0002-2803-0995en
local.profile.orcid0000-0001-5881-2296en
local.profile.roleauthoren
local.profile.roleauthoren
local.profile.roleauthoren
local.profile.roleauthoren
local.identifier.unepublicationidune:-20180831-091220en
local.identifier.unepublicationidune:-20180831-091220en
local.date.onlineversion2018-07-02en
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
local.title.maintitleCeliac disease gene expression data can be used to classify biopsies along the Marsh score severity scaleen
local.output.categorydescriptionC1 Refereed Article in a Scholarly Journalen
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