Literature DB >> 30672297

Urine Nuclear Magnetic Resonance (NMR) Metabolomics in Age-Related Macular Degeneration.

Inês Laíns1,2,3,4, Daniela Duarte5, António S Barros5, Ana Sofia Martins5, Tatiana J Carneiro5, João Q Gil2,3,4, John B Miller1, Marco Marques2,3,4, Tânia S Mesquita3, Patrícia Barreto3, Ivana K Kim1, Maria da Luz Cachulo2,3,4, Demetrios G Vavvas1, Isabel M Carreira2, Joaquim Neto Murta2,4, Rufino Silva2,3,4, Joan W Miller1, Deeba Husain1, Ana M Gil5.   

Abstract

Biofluid biomarkers of age-related macular degeneration (AMD) are still lacking, and their identification is challenging. Metabolomics is well-suited to address this need, and urine is a valuable accessible biofluid. This study aimed to characterize the urinary metabolomic signatures of patients with different stages of AMD and a control group (>50 years). It was a prospective, cross-sectional study, where subjects from two cohorts were included: 305 from Coimbra, Portugal (AMD patients n = 252; controls n = 53) and 194 from Boston, United States (AMD patients n = 147; controls n = 47). For all participants, we obtained color fundus photographs (for AMD staging) and fasting urine samples, which were analyzed using 1H nuclear magnetic resonance (NMR) spectroscopy. Our results revealed that in both cohorts, urinary metabolomic profiles differed mostly between controls and late AMD patients, but important differences were also found between controls and subjects with early AMD. Analysis of the metabolites responsible for these separations revealed that, even though distinct features were observed for each cohort, AMD was in general associated with depletion of excreted citrate and selected amino acids at some stage of the disease, suggesting enhanced energy requirements. In conclusion, NMR metabolomics enabled the identification of urinary signals of AMD and its severity stages, which might represent potential metabolomic biomarkers of the disease.

Entities:  

Keywords:  age-related macular degeneration; metabolomics; nuclear magnetic resonance spectroscopy; urine

Mesh:

Substances:

Year:  2019        PMID: 30672297      PMCID: PMC7838731          DOI: 10.1021/acs.jproteome.8b00877

Source DB:  PubMed          Journal:  J Proteome Res        ISSN: 1535-3893            Impact factor:   4.466


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