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Urinary Mass Spectrometry Profiles in Age-Related Macular Degeneration.

Authors :
Lains, Ines
Mendez, Kevin M.
Gil, João Q.
Miller, John B.
Kelly, Rachel S.
Barreto, Patrícia
Kim, Ivana K.
Vavvas, Demetrios G.
Murta, Joaquim Neto
Liang, Liming
Silva, Rufino
Miller, Joan W.
Lasky-Su, Jessica
Husain, Deeba
Source :
Journal of Clinical Medicine; Feb2022, Vol. 11 Issue 4, pN.PAG-N.PAG, 1p
Publication Year :
2022

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. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
20770383
Volume :
11
Issue :
4
Database :
Complementary Index
Journal :
Journal of Clinical Medicine
Publication Type :
Academic Journal
Accession number :
155570847
Full Text :
https://doi.org/10.3390/jcm11040940