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Title: Biomarkers for Refractory Lupus Nephritis: A Microarray Study of Kidney Tissue.
Authors: Pornpen Tantivitayakul
พรเพ็ญ ตันติวิทยากุล
Thitima Benjachat
ธิติมา เบญจชาติ
Pumipat Tongyoo
ภูมิพัฒน์ ทองอยู่
Poorichaya Somparn
ภูริชญา สมภาร
Nattiya Hirankarn
ณัฏฐิยา หิรัญกาญจน์
Santitham Prom-On
สันติธรรม พรหมอ่อน
Prapaporn Pisitkun
ประภาพร พิสิษฐ์กุล
Asada Leelahavanichkul
อัษฎางศ์ ลีฬหวนิชกุล
Yingyos Avihingsanon
ยิ่งยศ อวิหิงสานนท์
Natavudh Townamchai
ณัฐวุฒิ โตวนำชัย
Mahidol University. Faculty of Dentistry. Department of Oral Microbiology
Mahidol University. Faculty of Medicine, Ramathibodi Hospital. Department of Medicine
Yingyos Avihingsanon
ยิ่งยศ อวิหิงสานนท์
Keywords: Biomarker;Chronic kidney disease;Gene expression;Lupus nephritis;Microarrays;Open Access article
Issue Date: Jun-2015
Citation: Benjachat T, Tongyoo P, Tantivitayakul P, Somparn P, Hirankarn N, Prom-On S, .et al. Biomarkers for Refractory Lupus Nephritis: A Microarray Study of Kidney Tissue. Int J Mol Sci. 2015 Jun 23;16(6):14276-90.
Abstract: 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: 1422-0067 (electronic)
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