Publication:
Biomarkers for refractory lupus nephritis: A microarray study of kidney tissue

dc.contributor.authorThitima Benjachaten_US
dc.contributor.authorPumipat Tongyooen_US
dc.contributor.authorPornpen Tantivitayakulen_US
dc.contributor.authorPoorichaya Somparnen_US
dc.contributor.authorNattiya Hirankarnen_US
dc.contributor.authorSantitham Prom-Onen_US
dc.contributor.authorPrapaporn Pisitkunen_US
dc.contributor.authorAsada Leelahavanichkulen_US
dc.contributor.authorYingyos Avihingsanonen_US
dc.contributor.authorNatavudh Townamchaien_US
dc.contributor.otherChulalongkorn Universityen_US
dc.contributor.otherMahidol Universityen_US
dc.contributor.otherKing Mongkuts University of Technology Thonburien_US
dc.contributor.otherKing Chulalongkorn Memorial Hospital, Faculty of Medicine Chulalongkorn Universityen_US
dc.date.accessioned2018-11-23T09:41:31Z
dc.date.available2018-11-23T09:41:31Z
dc.date.issued2015-06-23en_US
dc.description.abstract© 2015 by the authors; licensee MDPI, Basel, Switzerland. The prognosis of severe lupus nephritis (LN) is very different among individual patients. None of the current biomarkers can be used to predict the development of refractory LN. Because kidney histology is the gold standard for diagnosing LN, the authors hypothesize that molecular signatures detected in kidney biopsy tissue may have predictive value in determining the therapeutic response. Sixty-seven patients with biopsy-proven severely active LN by International Society of Nephrology/Renal Pathology Society (ISN/RPS) classification III/IV were recruited. Twenty-three kidney tissue samples were used for RNA microarray analysis, while the remaining 44 samples were used for validation by real-time polymerase chain reaction (PCR) gene expression analysis. From hundreds of differential gene expressions in refractory LN, 12 candidates were selected for validation based on gene expression levels as well as relevant functions. The candidate biomarkers were members of the innate immune response molecules, adhesion molecules, calcium-binding receptors, and paracellular tight junction proteins. S100A8, ANXA13, CLDN19 and FAM46B were identified as the best kidney biomarkers for refractory LN, and COL8A1 was identified as the best marker for early loss of kidney function. These new molecular markers can be used to predict refractory LN and may eventually lead to novel molecular targets for therapy.en_US
dc.identifier.citationInternational Journal of Molecular Sciences. Vol.16, No.6 (2015), 14276-14290en_US
dc.identifier.doi10.3390/ijms160614276en_US
dc.identifier.issn14220067en_US
dc.identifier.issn16616596en_US
dc.identifier.other2-s2.0-84934925427en_US
dc.identifier.urihttps://repository.li.mahidol.ac.th/handle/123456789/35435
dc.rightsMahidol Universityen_US
dc.rights.holderSCOPUSen_US
dc.source.urihttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84934925427&origin=inwarden_US
dc.subjectBiochemistry, Genetics and Molecular Biologyen_US
dc.subjectChemical Engineeringen_US
dc.subjectChemistryen_US
dc.subjectComputer Scienceen_US
dc.titleBiomarkers for refractory lupus nephritis: A microarray study of kidney tissueen_US
dc.typeArticleen_US
dspace.entity.typePublication
mu.datasource.scopushttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84934925427&origin=inwarden_US

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