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Metabolomics and Age-Related Macular Degeneration

Age-related macular degeneration (AMD) leads to irreversible visual loss, therefore, early intervention is desirable, but due to its multifactorial nature, diagnosis of early disease might be challenging. Identification of early markers for disease development and progression is key for disease diag...

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Autores principales: Brown, Connor N., Green, Brian D., Thompson, Richard B., den Hollander, Anneke I., Lengyel, Imre
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6358913/
https://www.ncbi.nlm.nih.gov/pubmed/30591665
http://dx.doi.org/10.3390/metabo9010004
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author Brown, Connor N.
Green, Brian D.
Thompson, Richard B.
den Hollander, Anneke I.
Lengyel, Imre
author_facet Brown, Connor N.
Green, Brian D.
Thompson, Richard B.
den Hollander, Anneke I.
Lengyel, Imre
author_sort Brown, Connor N.
collection PubMed
description Age-related macular degeneration (AMD) leads to irreversible visual loss, therefore, early intervention is desirable, but due to its multifactorial nature, diagnosis of early disease might be challenging. Identification of early markers for disease development and progression is key for disease diagnosis. Suitable biomarkers can potentially provide opportunities for clinical intervention at a stage of the disease when irreversible changes are yet to take place. One of the most metabolically active tissues in the human body is the retina, making the use of hypothesis-free techniques, like metabolomics, to measure molecular changes in AMD appealing. Indeed, there is increasing evidence that metabolic dysfunction has an important role in the development and progression of AMD. Therefore, metabolomics appears to be an appropriate platform to investigate disease-associated biomarkers. In this review, we explored what is known about metabolic changes in the retina, in conjunction with the emerging literature in AMD metabolomics research. Methods for metabolic biomarker identification in the eye have also been discussed, including the use of tears, vitreous, and aqueous humor, as well as imaging methods, like fluorescence lifetime imaging, that could be translated into a clinical diagnostic tool with molecular level resolution.
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spelling pubmed-63589132019-02-11 Metabolomics and Age-Related Macular Degeneration Brown, Connor N. Green, Brian D. Thompson, Richard B. den Hollander, Anneke I. Lengyel, Imre Metabolites Review Age-related macular degeneration (AMD) leads to irreversible visual loss, therefore, early intervention is desirable, but due to its multifactorial nature, diagnosis of early disease might be challenging. Identification of early markers for disease development and progression is key for disease diagnosis. Suitable biomarkers can potentially provide opportunities for clinical intervention at a stage of the disease when irreversible changes are yet to take place. One of the most metabolically active tissues in the human body is the retina, making the use of hypothesis-free techniques, like metabolomics, to measure molecular changes in AMD appealing. Indeed, there is increasing evidence that metabolic dysfunction has an important role in the development and progression of AMD. Therefore, metabolomics appears to be an appropriate platform to investigate disease-associated biomarkers. In this review, we explored what is known about metabolic changes in the retina, in conjunction with the emerging literature in AMD metabolomics research. Methods for metabolic biomarker identification in the eye have also been discussed, including the use of tears, vitreous, and aqueous humor, as well as imaging methods, like fluorescence lifetime imaging, that could be translated into a clinical diagnostic tool with molecular level resolution. MDPI 2018-12-27 /pmc/articles/PMC6358913/ /pubmed/30591665 http://dx.doi.org/10.3390/metabo9010004 Text en © 2018 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Review
Brown, Connor N.
Green, Brian D.
Thompson, Richard B.
den Hollander, Anneke I.
Lengyel, Imre
Metabolomics and Age-Related Macular Degeneration
title Metabolomics and Age-Related Macular Degeneration
title_full Metabolomics and Age-Related Macular Degeneration
title_fullStr Metabolomics and Age-Related Macular Degeneration
title_full_unstemmed Metabolomics and Age-Related Macular Degeneration
title_short Metabolomics and Age-Related Macular Degeneration
title_sort metabolomics and age-related macular degeneration
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6358913/
https://www.ncbi.nlm.nih.gov/pubmed/30591665
http://dx.doi.org/10.3390/metabo9010004
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