April 2010
Volume 51, Issue 13
Free
ARVO Annual Meeting Abstract  |   April 2010
Raman Spectroscopic Evaluation of Age Related Changes in Bruch’s Membrane
Author Affiliations & Notes
  • J. J. McGarvey
    Sch of Chem & Chem Engineering,
    Queen's University Belfast, Belfast, United Kingdom
  • J. R. Beattie
    Centre for Vision and Vascular Science,
    Queen's University Belfast, Belfast, United Kingdom
  • A. M. Pawlak
    Centre for Vision and Vascular Science,
    Queen's University Belfast, Belfast, United Kingdom
  • M. E. Boulton
    Anatomy and Cell Biology, University of Florida, Gainesville, Florida
  • A. W. Stitt
    Centre for Vision and Vascular Science,
    Queen's University Belfast, Belfast, United Kingdom
  • Footnotes
    Commercial Relationships  J.J. McGarvey, None; J.R. Beattie, None; A.M. Pawlak, None; M.E. Boulton, None; A.W. Stitt, None.
  • Footnotes
    Support  MRC Grant G0600053, BBSRC, R & D Office NI, Leverhulme Ttrust
Investigative Ophthalmology & Visual Science April 2010, Vol.51, 2778. doi:
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    • Get Citation

      J. J. McGarvey, J. R. Beattie, A. M. Pawlak, M. E. Boulton, A. W. Stitt; Raman Spectroscopic Evaluation of Age Related Changes in Bruch’s Membrane. Invest. Ophthalmol. Vis. Sci. 2010;51(13):2778.

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

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Abstract
 
Purpose:
 

Bruch’s membrane (BM) is a highly dynamic matrix that is integral to RPE and outer retinal function. Reactive intermediates of metabolism are elevated during ageing and the adducts formed can modify the collagens of BM and this has a critical role in the development of AMD. Analysing advanced glycation / lipoxidation endproducts (collectively termed AGEs) normally requires destructive, highly specific analyses. The purpose of this study is to investigate the potential of the non-invasive technique of Raman spectroscopy to multiplex age-related biochemical information.

 
Methods:
 

BM from human post-mortem eyes were flat mounted and probed using a Raman microscope. A spectral database of a wide range of collagens, fats, porphyrins and metabolic adducts was recorded. Principal component analysis was used to extract the spectral signals of constituents which were compared to database for ID.

 
Results:
 

The Raman data yielded 60 unique biochemical constituents including collagens, heme, cytochrome, fatty acid lipids, cholesterol, oxidised lipids and a number of AGE adducts (CML,CEL,CEP,GH-1,HHE,GO,DHP-lys and pentosidine). AGEs in particular showed significant increasing trends against chronological age, especially between 70 and 80 years of age (Fig 1). In addition to AGE changes with age, the Raman signal simultaneously demonstrated a rise in heme and cholesterol in BM

 
Conclusions:
 

Raman is able to simultaneously detect a large number of biochemical changes with chronological age, including AGE adducts that have been implicated in age-related retinal pathology.  

 
Keywords: age-related macular degeneration • Bruch's membrane • retinal degenerations: cell biology 
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