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ABSTRACT: Purpose
To identify metabolites and metabolic pathways altered in neovascular age-related macular degeneration (NVAMD).Methods
We performed metabolomics analysis using high-resolution C18 liquid chromatography-mass spectrometry on plasma samples from 100 NVAMD patients and 192 controls. Data for mass/charge ratio ranging from 85 to 850 were captured, and metabolic features were extracted using xMSanalyzer. Nested feature selection was used to identify metabolites that discriminated between NVAMD patients and controls. Pathway analysis was performed with Mummichog 2.0. Hierarchical clustering was used to examine the relationship between the discriminating metabolites and NVAMD patients and controls.Results
Of the 10,917 metabolic features analyzed, a set of 159 was i
SUBMITTER: Mitchell SL
PROVIDER: S-EPMC6188466 | biostudies-literature | 2018 Oct
REPOSITORIES: biostudies-literature