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Novel autoantigens immunogenic in COPD patients

BACKGROUND: Chronic obstructive pulmonary disease (COPD) is a respiratory inflammatory condition with autoimmune features including IgG autoantibodies. In this study we analyze the complexity of the autoantibody response and reveal the nature of the antigens that are recognized by autoantibodies in...

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Autores principales: Leidinger, Petra, Keller, Andreas, Heisel, Sabrina, Ludwig, Nicole, Rheinheimer, Stefanie, Klein, Veronika, Andres, Claudia, Hamacher, Jürg, Huwer, Hanno, Stephan, Bernhard, Stehle, Ingo, Lenhof, Hans-Peter, Meese, Eckart
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2009
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2667165/
https://www.ncbi.nlm.nih.gov/pubmed/19284601
http://dx.doi.org/10.1186/1465-9921-10-20
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author Leidinger, Petra
Keller, Andreas
Heisel, Sabrina
Ludwig, Nicole
Rheinheimer, Stefanie
Klein, Veronika
Andres, Claudia
Hamacher, Jürg
Huwer, Hanno
Stephan, Bernhard
Stehle, Ingo
Lenhof, Hans-Peter
Meese, Eckart
author_facet Leidinger, Petra
Keller, Andreas
Heisel, Sabrina
Ludwig, Nicole
Rheinheimer, Stefanie
Klein, Veronika
Andres, Claudia
Hamacher, Jürg
Huwer, Hanno
Stephan, Bernhard
Stehle, Ingo
Lenhof, Hans-Peter
Meese, Eckart
author_sort Leidinger, Petra
collection PubMed
description BACKGROUND: Chronic obstructive pulmonary disease (COPD) is a respiratory inflammatory condition with autoimmune features including IgG autoantibodies. In this study we analyze the complexity of the autoantibody response and reveal the nature of the antigens that are recognized by autoantibodies in COPD patients. METHODS: An array of 1827 gridded immunogenic peptide clones was established and screened with 17 sera of COPD patients and 60 healthy controls. Protein arrays were evaluated both by visual inspection and a recently developed computer aided image analysis technique. By this computer aided image analysis technique we computed the intensity values for each peptide clone and each serum and calculated the area under the receiver operator characteristics curve (AUC) for each clone and the separation COPD sera versus control sera. RESULTS: By visual evaluation we detected 381 peptide clones that reacted with autoantibodies of COPD patients including 17 clones that reacted with more than 60% of the COPD sera and seven clones that reacted with more than 90% of the COPD sera. The comparison of COPD sera and controls by the automated image analysis system identified 212 peptide clones with informative AUC values. By in silico sequence analysis we found an enrichment of sequence motives previously associated with immunogenicity. CONCLUSION: The identification of a rather complex humoral immune response in COPD patients supports the idea of COPD as a disease with strong autoimmune features. The identification of novel immunogenic antigens is a first step towards a better understanding of the autoimmune component of COPD.
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spelling pubmed-26671652009-04-09 Novel autoantigens immunogenic in COPD patients Leidinger, Petra Keller, Andreas Heisel, Sabrina Ludwig, Nicole Rheinheimer, Stefanie Klein, Veronika Andres, Claudia Hamacher, Jürg Huwer, Hanno Stephan, Bernhard Stehle, Ingo Lenhof, Hans-Peter Meese, Eckart Respir Res Research BACKGROUND: Chronic obstructive pulmonary disease (COPD) is a respiratory inflammatory condition with autoimmune features including IgG autoantibodies. In this study we analyze the complexity of the autoantibody response and reveal the nature of the antigens that are recognized by autoantibodies in COPD patients. METHODS: An array of 1827 gridded immunogenic peptide clones was established and screened with 17 sera of COPD patients and 60 healthy controls. Protein arrays were evaluated both by visual inspection and a recently developed computer aided image analysis technique. By this computer aided image analysis technique we computed the intensity values for each peptide clone and each serum and calculated the area under the receiver operator characteristics curve (AUC) for each clone and the separation COPD sera versus control sera. RESULTS: By visual evaluation we detected 381 peptide clones that reacted with autoantibodies of COPD patients including 17 clones that reacted with more than 60% of the COPD sera and seven clones that reacted with more than 90% of the COPD sera. The comparison of COPD sera and controls by the automated image analysis system identified 212 peptide clones with informative AUC values. By in silico sequence analysis we found an enrichment of sequence motives previously associated with immunogenicity. CONCLUSION: The identification of a rather complex humoral immune response in COPD patients supports the idea of COPD as a disease with strong autoimmune features. The identification of novel immunogenic antigens is a first step towards a better understanding of the autoimmune component of COPD. BioMed Central 2009 2009-03-12 /pmc/articles/PMC2667165/ /pubmed/19284601 http://dx.doi.org/10.1186/1465-9921-10-20 Text en Copyright © 2009 Leidinger et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( (http://creativecommons.org/licenses/by/2.0) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research
Leidinger, Petra
Keller, Andreas
Heisel, Sabrina
Ludwig, Nicole
Rheinheimer, Stefanie
Klein, Veronika
Andres, Claudia
Hamacher, Jürg
Huwer, Hanno
Stephan, Bernhard
Stehle, Ingo
Lenhof, Hans-Peter
Meese, Eckart
Novel autoantigens immunogenic in COPD patients
title Novel autoantigens immunogenic in COPD patients
title_full Novel autoantigens immunogenic in COPD patients
title_fullStr Novel autoantigens immunogenic in COPD patients
title_full_unstemmed Novel autoantigens immunogenic in COPD patients
title_short Novel autoantigens immunogenic in COPD patients
title_sort novel autoantigens immunogenic in copd patients
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2667165/
https://www.ncbi.nlm.nih.gov/pubmed/19284601
http://dx.doi.org/10.1186/1465-9921-10-20
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