Novel Serum Proteomic Signatures in a Non-Human Primate Model of Retinal Injury

Abstract

To identify candidate protein biomarkers in sera indicative of acute retinal injury. Methods: We used laser photocoagulation as a model of acute retinal injury in Rhesus macaques. In a paired-control study design, we collected serum from each animal (n=6) at 4 h, 1 day, and 3 days following a mock procedure and then again following retinal laser treatment that produced mild lesions. Samples were fractionated by isoelectric focusing, digested with trypsin, and analyzed by liquid chromatography/tandem mass spectrometry (LC-MS/MS). Spectral counting was used to determine relative protein abundances and identify proteins with statistically significant differences between control and treated sera. Results: Mild retinal injury was confirmed by fundus photography and histological examination. The average number of total proteins detected by LC-MS/MS was 908 82 among samples from all three time points. Following statistical analysis and employing stringent filtering criteria, a total of 19 proteins were identified as being significantly more abundant in sera following laser-induced retinal injury, relative to control sera. Many of the proteins detected were unique to one time point. However, four proteins (phosphoglycerate kinase 1, keratin 18, Lewis alpha-3-fucosyltransferase, and ephrin receptor A2) showed differences that were significant at both 4 h and 1 day after laser treatment, followed by a decrease to baseline levels by day 3. Conclusions: A serum biomarker response to mild retinal laser injury was demonstrated in a primate model. Among the proteins detected with highest significant differences, most are upregulated within 24 h, and their appearance in the serum is transient. It is conceivable that a panel of these proteins could provide a means for detecting the acute-phase response to retinal injury. Further investigation of these candidate biomarkers and their correlation to retinal damage is warranted.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 2011
Accession Number
ADA540618

Entities

People

  • Anthony M. Chomyk
  • Bassam T. Wakim
  • Deepak P. Edward
  • Hiroshi Nakamura
  • Jeffrey J. Unmire
  • Michael Hart
  • Rachida Bouhenni
  • Sarah E. Scott

Organizations

  • Summa Health System

Tags

DTIC Thesaurus Topics

  • Anesthesia
  • Brain Injuries
  • Cell Physiological Processes
  • Cells
  • Chemistry
  • Cytoskeleton
  • Epithelium
  • Eye
  • Health Services
  • Inflammation
  • Liquid Chromatography
  • Mass Spectrometry
  • Proteins
  • Proteomics
  • Retinal Diseases
  • Spectrometry
  • Statistical Analysis

Fields of Study

  • Biology

Readers

  • Oncology and Biomarker-Based Cancer Detection.
  • Toxicology/Environmental Toxicology
  • Vision Science/Vision Psychology/Cognitive Neuroscience.

Technology Areas

  • Biotechnology
  • Directed Energy