期刊
JOURNAL OF PROTEOME RESEARCH
卷 18, 期 3, 页码 1278-1288出版社
AMER CHEMICAL SOC
DOI: 10.1021/acs.jproteome.8b00877
关键词
age-related macular degeneration; urine; metabolomics; nuclear magnetic resonance spectroscopy
资金
- Fundacao para a Ciencia e a Tecnologia (FCT) [HMSP-ICJ/0006/2013]
- Miller Retina Research Fund (MEE)
- Miller Champalimaud Award (MEE)
- project CICECO-Aveiro Institute of Materials, FCT [UID/CTM/50011/2019, POCI-01-0145-FEDER-007679]
- national funds through the FCT/MCTES
- FCT [SFRH/BD/119509/2016]
- Fundação para a Ciência e a Tecnologia [HMSP-ICJ/0006/2013, SFRH/BD/119509/2016] Funding Source: FCT
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.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据