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- W3089146211 abstract "The purpose of this study was to analyze the association between plasma metabolite levels and dark adaptation (DA) in age-related macular degeneration (AMD). This was a cross-sectional study including patients with AMD (early, intermediate, and late) and control subjects older than 50 years without any vitreoretinal disease. Fasting blood samples were collected and used for metabolomic profiling with ultra-performance liquid chromatography–mass spectrometry (LC-MS). Patients were also tested with the AdaptDx (MacuLogix, Middletown, PA, USA) DA extended protocol (20 min). Two measures of dark adaptation were calculated and used: rod-intercept time (RIT) and area under the dark adaptation curve (AUDAC). Associations between dark adaption and metabolite levels were tested using multilevel mixed-effects linear modelling, adjusting for age, gender, body mass index (BMI), smoking, race, AMD stage, and Age-Related Eye Disease Study (AREDS) formulation supplementation. We included a total of 71 subjects: 53 with AMD (13 early AMD, 31 intermediate AMD, and 9 late AMD) and 18 controls. Our results revealed that fatty acid-related lipids and amino acids related to glutamate and leucine, isoleucine and valine metabolism were associated with RIT (p < 0.01). Similar results were found when AUDAC was used as the outcome. Fatty acid-related lipids and amino acids are associated with DA, thus suggesting that oxidative stress and mitochondrial dysfunction likely play a role in AMD and visual impairment in this condition." @default.
- W3089146211 created "2020-10-01" @default.
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- W3089146211 date "2021-03-21" @default.
- W3089146211 modified "2023-10-17" @default.
- W3089146211 title "Association of Human Plasma Metabolomics with Delayed Dark Adaptation in Age-Related Macular Degeneration" @default.
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- W3089146211 doi "https://doi.org/10.3390/metabo11030183" @default.
- W3089146211 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/8003957" @default.
- W3089146211 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/33801085" @default.
- W3089146211 hasPublicationYear "2021" @default.
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