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Human-derived natural antibodies: biomarkers and potential therapeutics.
Xu, Xiaohua; Ng, Sher May; Hassouna, Eamonn; Warrington, Arthur; Oh, Sang-Hyun; Rodriguez, Moses.
Afiliação
  • Xu X; Department of Neurology, Mayo Clinic College of Medicine, Rochester, MN 55905, USA.
  • Ng SM; School of Clinical Medicine, University Of Cambridge, Hills Rd, Cambridge CB2 0SP, UK.
  • Hassouna E; Department of General Medicine, Charles University Hradec Kralove Faculty, Prague, Czech Republic.
  • Warrington A; Department of Neurology, Mayo Clinic College of Medicine, Rochester, MN 55905, USA.
  • Oh SH; Laboratory of Nanostructures & Biosensing, Department of Electrical & Computer Engineering, University of Minnesota, Minneapolis, MN 55455, USA ; Department of Biomedical Engineering, University of Minnesota, Minneapolis, MN 55455, USA.
  • Rodriguez M; Department of Neurology, Mayo Clinic College of Medicine, Rochester, MN 55905, USA ; Department of Immunology, Mayo Clinic College of Medicine, Rochester, MN 55905, USA.
Future Neurol ; 10(1): 25-39, 2015.
Article em En | MEDLINE | ID: mdl-25678860
ABSTRACT
The immune system generates antibodies and antigen-specific T-cells as basic elements of the immune networks that differentiate self from non-self in a finely tuned manner. The antigen-specific nature of immune responses ensures that normal immune activation contains non-self when tolerating self. Here we review the B-1 subset of lymphocytes which produce self-reactive antibodies. By analyzing the IgM class of natural antibodies that recognize antigens from the nervous system, we emphasize that natural antibodies are biomarkers of how the immune system monitors the host. The immune response activated against self can be detrimental when triggered in an autoimmune genetic background. In contrast, tuning immune activity with natural antibodies is a potential therapeutic strategy.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Ano de publicação: 2015 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Ano de publicação: 2015 Tipo de documento: Article