March 2012
Volume 53, Issue 14
Free
ARVO Annual Meeting Abstract  |   March 2012
IgG Subclass Autoimmunity Analysis In Sera Of Patients With Pseudoexfoliation Syndrome, Pseudoexfoliation Glaucoma and Cataract Controls
Author Affiliations & Notes
  • Joanna Wasielica-Poslednik
    Ophthalmology, Universitaetsmedizin Mainz, Mainz, Germany
  • Katrin Lorenz
    Ophthalmology, Universitaetsmedizin Mainz, Mainz, Germany
  • Marcus Schlich
    Ophthalmology, Universitaetsmedizin Mainz, Mainz, Germany
  • Nils Boehm
    Ophthalmology, Universitaetsmedizin Mainz, Mainz, Germany
  • Norbert Pfeiffer
    Ophthalmology, Universitaetsmedizin Mainz, Mainz, Germany
  • Franz H. Grus
    Ophthalmology, Universitaetsmedizin Mainz, Mainz, Germany
  • Footnotes
    Commercial Relationships  Joanna Wasielica-Poslednik, None; Katrin Lorenz, None; Marcus Schlich, None; Nils Boehm, None; Norbert Pfeiffer, None; Franz H. Grus, None
  • Footnotes
    Support  None
Investigative Ophthalmology & Visual Science March 2012, Vol.53, 3854. doi:
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      Joanna Wasielica-Poslednik, Katrin Lorenz, Marcus Schlich, Nils Boehm, Norbert Pfeiffer, Franz H. Grus; IgG Subclass Autoimmunity Analysis In Sera Of Patients With Pseudoexfoliation Syndrome, Pseudoexfoliation Glaucoma and Cataract Controls. Invest. Ophthalmol. Vis. Sci. 2012;53(14):3854.

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      © ARVO (1962-2015); The Authors (2016-present)

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Abstract

Purpose: : Using protein microarrays we could previously show evidence for differentiation between pseudoexfoliation syndrom (PEXS) and pseudoexfoliation glaucoma (PEXG) on the basis of autoantibody profiles. To gain further insight into immunoreactivities of PEXS and PEXG patients we analyzed the IgG1-4 antibody reactivities in these patients and cataract controls (CAT).

Methods: : Sera of patients with PEXG (n=17), PEXS (n=17) and controls with cataract (n=17) were used for antibody analysis . Analyses were performed using protein-microarrays, which were prepared by spotting 51 different ocular antigens onto microarray slides. Arrays were incubated with sera (1:250), and were treated with anti-IgG1-4 antibodies. For visualization of the antibody-antigen-reactions we used a fluorescence labeled tertiary antibody. Emitted signals were digitized and spot intensities were compared using diverse statistical techniques, such as ANOVA and multivariate discriminant analysis.

Results: : The intensities of the antibody-antigen-reactions response decreased from IgG1 to IgG4. The general immunoreactivity distribution did not differ between IgG subclasses (IgG1 40%, IgG2 24%, IgG3 21%, IgG4 15%). However, the immunoreactivity distribution of some antigens differed significantly e.g. Macroglobulin (CAT IgG1 46%, IgG2 9%, IgG3 32%, IgG4 13%, PEXG IgG1 48%, IgG2 10%, IgG3 22%, IgG4 20%, PEXS IgG1 58%, IgG2 9%, IgG3 18%, IgG4 15%). The normalized immunoreactivities showed also significant differences for 7 antigens for IgG1 e.g. Neuro specific enolase (CAT vs PEXS p≤0.01 and PEXG vs PEXS p≤0.01), for 6 antigens for IgG2 e.g. γ-Synuclein (PEXG vs PEXS p≤0.01), α-1-Antitrypsin (CAT vs PEXS p≤0.03), for 17 antigens for IgG3 e.g. Neuro specific enolase (CAT vs PEXS p≤0.01 and PEXG vs PEXS p≤0.02) and for 8 antigens for IgG4 e.g. Macroglobulin (CAT vs PEXS p≤0.04 and PEXG vs PEXS p≤0.02).

Conclusions: : The general immunoreactivity distribution of the IgG subclasses did not distinguish between PEXS, PEXG and CAT. However,we found statisticially significant differences for all IgG subclasses between study groups. The most significant differences in the immunoreactivity could be shown for IgG3, which is the strongest activator of the complement cascade. This fact seems to support the theory of the involvement of autoimmunity in glaucoma pathogenesis.

Keywords: immunomodulation/immunoregulation • autoimmune disease • detection 
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