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Serum Protein Profiling of Systemic Lupus Erythematosus and Systemic Sclerosis Using Recombinant Antibody Microarrays
Systemic lupus erythematosus (SLE) and systemic sclerosis (SSc) are two severe autoimmune connective tissue diseases. The fundamental knowledge about their etiology is limited and the conditions display complex pathogenesis, multifaceted presentations, and unpredictable courses. Despite significant...
Autores principales: | , , , , , , |
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Formato: | Texto |
Lenguaje: | English |
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The American Society for Biochemistry and Molecular Biology
2011
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3098590/ https://www.ncbi.nlm.nih.gov/pubmed/21350050 http://dx.doi.org/10.1074/mcp.M110.005033 |
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author | Carlsson, Anders Wuttge, Dirk M. Ingvarsson, Johan Bengtsson, Anders A. Sturfelt, Gunnar Borrebaeck, Carl A. K. Wingren, Christer |
author_facet | Carlsson, Anders Wuttge, Dirk M. Ingvarsson, Johan Bengtsson, Anders A. Sturfelt, Gunnar Borrebaeck, Carl A. K. Wingren, Christer |
author_sort | Carlsson, Anders |
collection | PubMed |
description | Systemic lupus erythematosus (SLE) and systemic sclerosis (SSc) are two severe autoimmune connective tissue diseases. The fundamental knowledge about their etiology is limited and the conditions display complex pathogenesis, multifaceted presentations, and unpredictable courses. Despite significant efforts, the lack of fully validated biomarkers enabling diagnosis, classification, and monitoring of disease activity represents significant unmet clinical needs. In this discovery study, we have for the first time used recombinant antibody microarrays for miniaturized, multiplexed serum protein profiling of SLE and SSc, targeting mainly immunoregulatory proteins. The data showed that several candidate SLE-associated multiplexed serum biomarker signatures were delineated, reflecting disease (diagnosis), disease severity (phenotypic subsets), and disease activity. Selected differentially expressed markers were validated using orthogonal assays and a second, independent patient cohort. Further, biomarker signatures differentiating SLE versus SSc were demonstrated, and the observed differences increased with severity of SLE. In contrast, the data showed that the serum profiles of SSc versus healthy controls were more similar. Hence, we have shown that affinity proteomics could be used to de-convolute crude, nonfractionated serum proteomes, extracting molecular portraits of SLE and SSc, further enhancing our fundamental understanding of these complex autoimmune conditions. |
format | Text |
id | pubmed-3098590 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2011 |
publisher | The American Society for Biochemistry and Molecular Biology |
record_format | MEDLINE/PubMed |
spelling | pubmed-30985902011-05-27 Serum Protein Profiling of Systemic Lupus Erythematosus and Systemic Sclerosis Using Recombinant Antibody Microarrays Carlsson, Anders Wuttge, Dirk M. Ingvarsson, Johan Bengtsson, Anders A. Sturfelt, Gunnar Borrebaeck, Carl A. K. Wingren, Christer Mol Cell Proteomics Regular Issue Systemic lupus erythematosus (SLE) and systemic sclerosis (SSc) are two severe autoimmune connective tissue diseases. The fundamental knowledge about their etiology is limited and the conditions display complex pathogenesis, multifaceted presentations, and unpredictable courses. Despite significant efforts, the lack of fully validated biomarkers enabling diagnosis, classification, and monitoring of disease activity represents significant unmet clinical needs. In this discovery study, we have for the first time used recombinant antibody microarrays for miniaturized, multiplexed serum protein profiling of SLE and SSc, targeting mainly immunoregulatory proteins. The data showed that several candidate SLE-associated multiplexed serum biomarker signatures were delineated, reflecting disease (diagnosis), disease severity (phenotypic subsets), and disease activity. Selected differentially expressed markers were validated using orthogonal assays and a second, independent patient cohort. Further, biomarker signatures differentiating SLE versus SSc were demonstrated, and the observed differences increased with severity of SLE. In contrast, the data showed that the serum profiles of SSc versus healthy controls were more similar. Hence, we have shown that affinity proteomics could be used to de-convolute crude, nonfractionated serum proteomes, extracting molecular portraits of SLE and SSc, further enhancing our fundamental understanding of these complex autoimmune conditions. The American Society for Biochemistry and Molecular Biology 2011-05 2011-02-24 /pmc/articles/PMC3098590/ /pubmed/21350050 http://dx.doi.org/10.1074/mcp.M110.005033 Text en © 2011 by The American Society for Biochemistry and Molecular Biology, Inc. Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0/) applies to Author Choice Articles |
spellingShingle | Regular Issue Carlsson, Anders Wuttge, Dirk M. Ingvarsson, Johan Bengtsson, Anders A. Sturfelt, Gunnar Borrebaeck, Carl A. K. Wingren, Christer Serum Protein Profiling of Systemic Lupus Erythematosus and Systemic Sclerosis Using Recombinant Antibody Microarrays |
title | Serum Protein Profiling of Systemic Lupus Erythematosus and Systemic Sclerosis Using Recombinant Antibody Microarrays |
title_full | Serum Protein Profiling of Systemic Lupus Erythematosus and Systemic Sclerosis Using Recombinant Antibody Microarrays |
title_fullStr | Serum Protein Profiling of Systemic Lupus Erythematosus and Systemic Sclerosis Using Recombinant Antibody Microarrays |
title_full_unstemmed | Serum Protein Profiling of Systemic Lupus Erythematosus and Systemic Sclerosis Using Recombinant Antibody Microarrays |
title_short | Serum Protein Profiling of Systemic Lupus Erythematosus and Systemic Sclerosis Using Recombinant Antibody Microarrays |
title_sort | serum protein profiling of systemic lupus erythematosus and systemic sclerosis using recombinant antibody microarrays |
topic | Regular Issue |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3098590/ https://www.ncbi.nlm.nih.gov/pubmed/21350050 http://dx.doi.org/10.1074/mcp.M110.005033 |
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