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.