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Title: Urinary Mass Spectrometry Profiles in Age-Related Macular Degeneration
Authors: Laíns, Inês 
Mendez, Kevin M
Gil, João Q. 
Miller, John B
Kelly, Rachel S
Barreto, Patrícia Susana Correia Lopes 
Kim, Ivana K
Vavvas, Demetrios G
Murta, Joaquim N. 
Liang, Liming
Silva, Rufino 
Miller, Joan W
Lasky-Su, Jessica
Husain, Deeba
Keywords: age-related macular degeneration; metabolomics; urine
Issue Date: 11-Feb-2022
Serial title, monograph or event: Journal of Clinical Medicine
Volume: 11
Issue: 4
Abstract: We and others have shown that patients with different severity stages of age-related macular degeneration (AMD) have distinct plasma metabolomic profiles compared to controls. Urine is a biofluid that can be obtained non-invasively and, in other fields, urine metabolomics has been proposed as a feasible alternative to plasma biomarkers. However, no studies have applied urinary mass spectrometry (MS) metabolomics to AMD. This study aimed to assess urinary metabolomic profiles of patients with different stages of AMD and a control group. We included two prospectively designed, multicenter, cross-sectional study cohorts: Boston, US (n = 185) and Coimbra, Portugal (n = 299). We collected fasting urine samples, which were used for metabolomic profiling (Ultrahigh Performance Liquid chromatography-Mass Spectrometry). Multivariable logistic and ordinal logistic regression models were used for analysis, accounting for gender, age, body mass index and use of AREDS supplementation. Results from both cohorts were then meta-analyzed. No significant differences in urine metabolites were seen when comparing patients with AMD and controls. When disease severity was considered as an outcome, six urinary metabolites differed significantly (p < 0.01). In particular, two of the metabolites identified have been previously shown by our group to also differ in the plasma of patients of AMD compared to controls and across severity stages. While there are fewer urinary metabolites associated with AMD than plasma metabolites, this study identified some differences across stages of disease that support previous work performed with plasma, thus highlighting the potential of these metabolites as future biomarkers for AMD.
ISSN: 2077-0383
DOI: 10.3390/jcm11040940
Rights: openAccess
Appears in Collections:FMUC Medicina - Artigos em Revistas Internacionais

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