July 2018
Volume 59, Issue 9
Open Access
ARVO Annual Meeting Abstract  |   July 2018
Aqueous humour metabolic profiles in typical age-related macular degeneration and polypoidal choroidal vasculopathy
Author Affiliations & Notes
  • Yasuo Yanagi
    Singapore Eye Research Institute, Singapore, Singapore
    Singapore National Eye Centre, Singapore, Singapore
  • Yan Gao
    Singapore Eye Research Institute, Singapore, Singapore
  • Lei Zhou
    Singapore Eye Research Institute, Singapore, Singapore
  • Hidenori Takahashi
    Department of Ophthalmology, Jichi Medical School, Tochigi, Japan
  • Yujiro Fujino
    Japan Community Healthcare Organization, Tokyo Shinjuku Medical Center, Tokyo, Japan
  • Hidetoshi Kawashima
    Department of Ophthalmology, Jichi Medical School, Tochigi, Japan
  • Roger W. Beuerman
    Singapore Eye Research Institute, Singapore, Singapore
  • Tien Yin Wong
    Singapore Eye Research Institute, Singapore, Singapore
    Singapore National Eye Centre, Singapore, Singapore
  • Footnotes
    Commercial Relationships   Yasuo Yanagi, None; Yan Gao, None; Lei Zhou, None; Hidenori Takahashi, None; Yujiro Fujino, None; Hidetoshi Kawashima, None; Roger Beuerman, None; Tien Wong, None
  • Footnotes
    Support  None
Investigative Ophthalmology & Visual Science July 2018, Vol.59, 371. doi:https://doi.org/
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    • Get Citation

      Yasuo Yanagi, Yan Gao, Lei Zhou, Hidenori Takahashi, Yujiro Fujino, Hidetoshi Kawashima, Roger W. Beuerman, Tien Yin Wong; Aqueous humour metabolic profiles in typical age-related macular degeneration and polypoidal choroidal vasculopathy. Invest. Ophthalmol. Vis. Sci. 2018;59(9):371. doi: https://doi.org/.

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

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Abstract

Purpose : To detect the differences in aqueous humour metabolic profiles between subjects with two major subtypes of neovascular AMD, i.e., typical age-related macular degeneration (tAMD) and polypoidal choroidal vasculopathy (PCV).

Methods : Liquid chromatography-tandem mass spectrometry (LC-MS/MS) based metabolomic analysis was performed on aqueous humour samples from 30 treatment-naive tAMD, 30 treatment-naive PCV and 30 control subjects. Multivariate analysis methods such as Principal Component Analysis (PCA) and Orthogonal Projections to Latent Structures Discriminant Analysis (OPLS-DA) were performed to determine metabolic features that distinguished tAMD and PCV.

Results : We identified a total of 560 putatively annotated metabolites. PCA analysis showed clear difference in the metabolic profiles between neovascular AMD (tAMD+PCV) and controls, and the first component could explain 23.7% of the variance (model summary: R2=0.801, Q2=0.424). Although the separation of tAMD and PCV was not good in PCA model, OPLS-DA model could discriminate these two groups with a much better separation (model summary: R2X(cum)=0.556, R2Y(cum)=1, Q2(cum)=0.663). A total of 41 metabolite features differed significantly between PCV and tAMD group, including hypoxanthine and xanthine. Pathway analysis demonstrated significantly change in purine metabolism (p<0.005).

Conclusions : There are significant differences in purine metabolism between tAMD and PCV.

This is an abstract that was submitted for the 2018 ARVO Annual Meeting, held in Honolulu, Hawaii, April 29 - May 3, 2018.

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