May 2007
Volume 48, Issue 13
ARVO Annual Meeting Abstract  |   May 2007
Serum Protein Profiling in Persons With Ocular Disease: The Los Angeles Latino Eye Study
Author Affiliations & Notes
  • J. R. Chao
    Ophthalmology, Doheny Eye Institute, Los Angeles, California
  • R. N. Khurana
    Ophthalmology, Doheny Eye Institute, Los Angeles, California
  • M.-Y. Lai
    Department of Preventive Medicine, Keck School of Medicine at USC, Los Angeles, California
  • R. Varma
    Ophthalmology, Doheny Eye Institute, Los Angeles, California
  • Los Angeles Latino Eye Study Group
    Ophthalmology, Doheny Eye Institute, Los Angeles, California
  • Footnotes
    Commercial Relationships J.R. Chao, None; R.N. Khurana, None; M. Lai, None; R. Varma, None.
  • Footnotes
    Support NIH Grant EY11753
Investigative Ophthalmology & Visual Science May 2007, Vol.48, 330. doi:
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    • Get Citation

      J. R. Chao, R. N. Khurana, M.-Y. Lai, R. Varma, Los Angeles Latino Eye Study Group; Serum Protein Profiling in Persons With Ocular Disease: The Los Angeles Latino Eye Study. Invest. Ophthalmol. Vis. Sci. 2007;48(13):330.

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

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Purpose:: To evaluate the protein expression profiles from serum samples of persons with proliferative diabetic retinopathy, end-stage open angle glaucoma, and age-related macular degeneration as compared to individuals without ocular disease.

Methods:: Serum samples from 38 participants were selected for this study. This included 6 case-control pairs of persons with end-stage open angle glaucoma and proliferative diabetic retinopathy, and 7 case-control pairs of those with age-related macular degeneration. Controls were free from glaucoma, diabetic retinopathy, and age-related macular degeneration, and they were matched to age, gender, smoking status, history of cardiovascular disease, hypertension, and alcohol use. Controls paired to those with proliferative diabetic retinopathy were also matched to duration since diabetes diagnosis and hemoglobin A1c levels. Equalized serum sample fractions were analyzed using SELDI-TOF-MS ProteinChip Arrays with two different chromatographic surfaces (CM10 weak cation exchange and H50 hydrophobic or IMAC30 metal-affinity). The data were analyzed by univariate and multivariate statistical techniques.

Results:: Several hundred protein peaks (mass/charge ratios) were consistent across samples and chip sites. After exclusion of peaks with poor resolution and low signal-to-noise ratios, univariate analysis was performed, and 6-10 differentially expressed protein biomarkers were found between the disease versus control groups. Select candidate proteins were identified by off-line purification and tandem mass spectrometry (MSMS).

Conclusions:: The identification of serum biomarkers for ocular diseases such as proliferative diabetic retinopathy, end stage glaucoma, or age-related macular degeneration could provide insight into the pathogenesis of the diseases.

Keywords: proteomics • diabetic retinopathy • age-related macular degeneration 

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