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Title: Biomarkers for refractory lupus nephritis: A microarray study of kidney tissue
Authors: Thitima Benjachat
Pumipat Tongyoo
Pornpen Tantivitayakul
Poorichaya Somparn
Nattiya Hirankarn
Santitham Prom-On
Prapaporn Pisitkun
Asada Leelahavanichkul
Yingyos Avihingsanon
Natavudh Townamchai
Chulalongkorn University
Mahidol University
King Mongkuts University of Technology Thonburi
King Chulalongkorn Memorial Hospital, Faculty of Medicine Chulalongkorn University
Keywords: Biochemistry, Genetics and Molecular Biology;Chemical Engineering;Chemistry;Computer Science
Issue Date: 23-Jun-2015
Citation: International Journal of Molecular Sciences. Vol.16, No.6 (2015), 14276-14290
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.
ISSN: 14220067
Appears in Collections:Scopus 2011-2015

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