April 2010
Volume 51, Issue 13
Free
ARVO Annual Meeting Abstract  |   April 2010
The Metabolic Response of Müller Glial Cells to Photoreceptor Degeneration
Author Affiliations & Notes
  • F. R. Vazquez-Chona
    Ophthalmology, Univ of Utah, Salt Lake City, Utah
  • W. D. Ferrell
    Ophthalmology, Moran Eye Center, Salt Lake City, Utah
  • B. W. Jones
    Ophthalmology, Moran Eye Center, Salt Lake City, Utah
  • R. E. Marc
    Ophthalmology-Sch of Med, Univ of Utah/Moran Eye Center, Salt Lake City, Utah
  • Footnotes
    Commercial Relationships  F.R. Vazquez-Chona, None; W.D. Ferrell, None; B.W. Jones, None; R.E. Marc, Signature Immunologics, E, P.
  • Footnotes
    Support  NIH EY02576, EY015128 and EY014800 (RM); RPB Career Development Award (BWJ); and FFS, IRRF and KTEF (FVC)
Investigative Ophthalmology & Visual Science April 2010, Vol.51, 4058. doi:
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    • Get Citation

      F. R. Vazquez-Chona, W. D. Ferrell, B. W. Jones, R. E. Marc; The Metabolic Response of Müller Glial Cells to Photoreceptor Degeneration. Invest. Ophthalmol. Vis. Sci. 2010;51(13):4058.

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

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Abstract

Purpose: : To test the hypothesis that glial cells provide neuroprotection, we are visualizing the metabolic response of Müller glial cells to photoreceptor degeneration.

Methods: : Visualizing and quantifying the metabolic states of activated glia is possible through the integration of high resolution, N-dimensional metabolic profiling (Computational Molecular Phenotyping, CMP), electron microscopy, classic glial proteome profiling, and proliferation assays. We are using the classic light-induced retinal damage model in albino mice to characterize the glial response to photoreceptor degeneration.

Results: : CMP is capable of visualizing thousands of Müller cells and photoreceptors covering large stretches of retina while resolving the metabolic response of individual Müller cells and photoreceptors, preserving all histological context. We found that glial processes surrounding stressed photoreceptors exhibit changes in metabolic envelopes, displaying altered metabolic signals for glutamate metabolism, osmoregulation, anti-oxidation and retinoid metabolism. These metabolic profiles may reveal altered metabolic stabilities, altered metabolic programming or biochemical response profiles indicative of cell stress.

Conclusions: : This work is aimed at investigating the metabolic relationships between Müller cells and photoreceptors in retinal stress situations. Metabolic networks are likely complex and we propose that the metabolic response of activated Müller cells assists metabolically stressed or challenged photoreceptors. The power of CMP to integrate various levels of cell regulation (metabolism, energetics and proteomics) with high spatial resolution is paving the way to discover the molecular glial transformations that confer neuroprotection.

Keywords: degenerations/dystrophies • Muller cells • metabolism 
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