An antibody-based leukocyte-capture microarray for the diagnosis of systemic lupus erythematosus.

The diagnosis of Systemic Lupus Erythematosus (SLE) is challenging due to its heterogeneous clinical presentation and the lack of robust biomarkers to distinguish it from other autoimmune diseases. Further, currently used laboratory tests do not readily distinguish active and inactive disease. Sever...

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Autores principales:	Ming-Wei Lin, Joshua W K Ho, Leonard C Harrison, Cristobal G dos Remedios, Stephen Adelstein
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2013
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/798173b379cf434fbe86dc1d2009945c
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spelling	oai:doaj.org-article:798173b379cf434fbe86dc1d2009945c2021-11-18T07:53:41ZAn antibody-based leukocyte-capture microarray for the diagnosis of systemic lupus erythematosus.1932-620310.1371/journal.pone.0058199https://doaj.org/article/798173b379cf434fbe86dc1d2009945c2013-01-01T00:00:00Zhttps://www.ncbi.nlm.nih.gov/pmc/articles/pmid/23516448/pdf/?tool=EBIhttps://doaj.org/toc/1932-6203The diagnosis of Systemic Lupus Erythematosus (SLE) is challenging due to its heterogeneous clinical presentation and the lack of robust biomarkers to distinguish it from other autoimmune diseases. Further, currently used laboratory tests do not readily distinguish active and inactive disease. Several groups have attempted to apply emerging high throughput profiling technologies to diagnose and monitor SLE. Despite showing promise, many are expensive and technically challenging for routine clinical use. The goal of this work is to develop a better diagnostic and monitoring tool for SLE. We report a highly customisable antibody microarray that consists of a duplicate arrangement of 82 antibodies directed against surface antigens on peripheral blood mononuclear cells (PMBCs). This high-throughput array was used to profile SLE patients (n = 60) with varying disease activity, compared to healthy controls (n = 24), patients with rheumatoid arthritis (n = 25), and other autoimmune diseases (n = 28). We used a computational algorithm to calculate a score from the entire microarray profile and correlated it with SLE disease activity. Our results demonstrate that leukocyte-capture microarray profiles can readily distinguish active SLE patients from healthy controls (AUROC = 0.84). When combined with the standard laboratory tests (serum anti-dsDNA, complements C3 and C4), the microarrays provide significantly increased discrimination. The antibody microarrays can be enhanced by the addition of other markers for potential application to the diagnosis and stratification of SLE, paving the way for the customised and accurate diagnosis and monitoring of SLE.Ming-Wei LinJoshua W K HoLeonard C HarrisonCristobal G dos RemediosStephen AdelsteinPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 8, Iss 3, p e58199 (2013)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Ming-Wei Lin Joshua W K Ho Leonard C Harrison Cristobal G dos Remedios Stephen Adelstein An antibody-based leukocyte-capture microarray for the diagnosis of systemic lupus erythematosus.
description	The diagnosis of Systemic Lupus Erythematosus (SLE) is challenging due to its heterogeneous clinical presentation and the lack of robust biomarkers to distinguish it from other autoimmune diseases. Further, currently used laboratory tests do not readily distinguish active and inactive disease. Several groups have attempted to apply emerging high throughput profiling technologies to diagnose and monitor SLE. Despite showing promise, many are expensive and technically challenging for routine clinical use. The goal of this work is to develop a better diagnostic and monitoring tool for SLE. We report a highly customisable antibody microarray that consists of a duplicate arrangement of 82 antibodies directed against surface antigens on peripheral blood mononuclear cells (PMBCs). This high-throughput array was used to profile SLE patients (n = 60) with varying disease activity, compared to healthy controls (n = 24), patients with rheumatoid arthritis (n = 25), and other autoimmune diseases (n = 28). We used a computational algorithm to calculate a score from the entire microarray profile and correlated it with SLE disease activity. Our results demonstrate that leukocyte-capture microarray profiles can readily distinguish active SLE patients from healthy controls (AUROC = 0.84). When combined with the standard laboratory tests (serum anti-dsDNA, complements C3 and C4), the microarrays provide significantly increased discrimination. The antibody microarrays can be enhanced by the addition of other markers for potential application to the diagnosis and stratification of SLE, paving the way for the customised and accurate diagnosis and monitoring of SLE.
format	article
author	Ming-Wei Lin Joshua W K Ho Leonard C Harrison Cristobal G dos Remedios Stephen Adelstein
author_facet	Ming-Wei Lin Joshua W K Ho Leonard C Harrison Cristobal G dos Remedios Stephen Adelstein
author_sort	Ming-Wei Lin
title	An antibody-based leukocyte-capture microarray for the diagnosis of systemic lupus erythematosus.
title_short	An antibody-based leukocyte-capture microarray for the diagnosis of systemic lupus erythematosus.
title_full	An antibody-based leukocyte-capture microarray for the diagnosis of systemic lupus erythematosus.
title_fullStr	An antibody-based leukocyte-capture microarray for the diagnosis of systemic lupus erythematosus.
title_full_unstemmed	An antibody-based leukocyte-capture microarray for the diagnosis of systemic lupus erythematosus.
title_sort	antibody-based leukocyte-capture microarray for the diagnosis of systemic lupus erythematosus.
publisher	Public Library of Science (PLoS)
publishDate	2013
url	https://doaj.org/article/798173b379cf434fbe86dc1d2009945c
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An antibody-based leukocyte-capture microarray for the diagnosis of systemic lupus erythematosus.

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