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10.3390/ijms160614276 http://scihub22266oqcxt.onion/10.3390/ijms160614276 C4490552!4490552!26110394     free     free     free Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Int+J+Mol+Sci 2015 ; 16 (6): 14276-90 Nephropedia Template TP {{tp|p=26110394|t=2015. Biomarkers for Refractory Lupus Nephritis: A Microarray Study of Kidney Tissue |pdf=|usr=}}{{26110394}} gab.com Text Biomarkers for Refractory Lupus Nephritis: A Microarray Study of Kidney Tissue JO: Int J Mol Sci http://www.kidney.de/pget.php?&tw=1&pmid=26110394 #FOAvip 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. Twit Text FOAVip Biomarkers for Refractory Lupus Nephritis: A Microarray Study of Kidney Tissue ????Int J Mol Sci http://www.kidney.de/pget.php?&tw=1&pmid=26110394 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=26110394 #FOAvip English Wikipedia <ref>{{Cite pmid|26110394}}</ref> Biomarkers for Refractory Lupus Nephritis: A Microarray Study of Kidney Tissue #MMPMID26110394 Benjachat T; Tongyoo P; Tantivitayakul P; Somparn P; Hirankarn N; Prom-On S; Pisitkun P; Leelahavanichkul A; Avihingsanon Y; Townamchai N Int J Mol Sci 2015[Jun]; 16 (6): 14276-90 PMID26110394show ga 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. äBiomarkers for Refractory Lupus Nephritis: A Microarray Study of Kidne(epmc).pdf DeepDyve Pubget Overpricing