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Novel Epigenetic Clock Biomarkers of Age-Related Macular Degeneration

Age-Related Macular Degeneration (AMD) is a bilateral ocular condition resulting in irreversible vision impairment caused by the progressive loss of photoreceptors in the macula, a region at the center of the retina. The progressive loss of photoreceptor is a key feature of dry AMD but not always we...

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Autores principales: Mallik, Saurav, Grodstein, Fran, Bennett, David A., Vavvas, Demetrios G., Lemos, Bernardo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9244395/
https://www.ncbi.nlm.nih.gov/pubmed/35783640
http://dx.doi.org/10.3389/fmed.2022.856853
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author Mallik, Saurav
Grodstein, Fran
Bennett, David A.
Vavvas, Demetrios G.
Lemos, Bernardo
author_facet Mallik, Saurav
Grodstein, Fran
Bennett, David A.
Vavvas, Demetrios G.
Lemos, Bernardo
author_sort Mallik, Saurav
collection PubMed
description Age-Related Macular Degeneration (AMD) is a bilateral ocular condition resulting in irreversible vision impairment caused by the progressive loss of photoreceptors in the macula, a region at the center of the retina. The progressive loss of photoreceptor is a key feature of dry AMD but not always wet AMD, though both forms of AMD can lead to loss of vision. Regression-based biological age clocks are one of the most promising biomarkers of aging but have not yet been used in AMD. Here we conducted analyses to identify regression-based biological age clocks for the retina and explored their use in AMD using transcriptomic data consisting of a total of 453 retina samples including 105 Minnesota Grading System (MGS) level 1 samples, 175 MGS level 2, 112 MGS level 3 and 61 MGS level 4 samples, as well as 167 fibroblast samples. The clocks yielded good separation among AMD samples with increasing severity score viz., MGS1-4, regardless of whether clocks were trained in retina tissue, dermal fibroblasts, or in combined datasets. Clock application to cultured fibroblasts, embryonic stem cells, and induced Pluripotent Stem Cells (iPSCs) were consistent with age reprograming in iPSCs. Moreover, clock application to in vitro neuronal differentiation suggests broader applications. Interesting, many of the age clock genes identified include known targets mechanistically linked to AMD and aging, such as GDF11, C16ORF72, and FBN2. This study provides new observations for retina age clocks and suggests new applications for monitoring in vitro neuronal differentiation. These clocks could provide useful markers for AMD monitoring and possible intervention, as well as potential targets for in vitro screens.
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spelling pubmed-92443952022-07-01 Novel Epigenetic Clock Biomarkers of Age-Related Macular Degeneration Mallik, Saurav Grodstein, Fran Bennett, David A. Vavvas, Demetrios G. Lemos, Bernardo Front Med (Lausanne) Medicine Age-Related Macular Degeneration (AMD) is a bilateral ocular condition resulting in irreversible vision impairment caused by the progressive loss of photoreceptors in the macula, a region at the center of the retina. The progressive loss of photoreceptor is a key feature of dry AMD but not always wet AMD, though both forms of AMD can lead to loss of vision. Regression-based biological age clocks are one of the most promising biomarkers of aging but have not yet been used in AMD. Here we conducted analyses to identify regression-based biological age clocks for the retina and explored their use in AMD using transcriptomic data consisting of a total of 453 retina samples including 105 Minnesota Grading System (MGS) level 1 samples, 175 MGS level 2, 112 MGS level 3 and 61 MGS level 4 samples, as well as 167 fibroblast samples. The clocks yielded good separation among AMD samples with increasing severity score viz., MGS1-4, regardless of whether clocks were trained in retina tissue, dermal fibroblasts, or in combined datasets. Clock application to cultured fibroblasts, embryonic stem cells, and induced Pluripotent Stem Cells (iPSCs) were consistent with age reprograming in iPSCs. Moreover, clock application to in vitro neuronal differentiation suggests broader applications. Interesting, many of the age clock genes identified include known targets mechanistically linked to AMD and aging, such as GDF11, C16ORF72, and FBN2. This study provides new observations for retina age clocks and suggests new applications for monitoring in vitro neuronal differentiation. These clocks could provide useful markers for AMD monitoring and possible intervention, as well as potential targets for in vitro screens. Frontiers Media S.A. 2022-06-16 /pmc/articles/PMC9244395/ /pubmed/35783640 http://dx.doi.org/10.3389/fmed.2022.856853 Text en Copyright © 2022 Mallik, Grodstein, Bennett, Vavvas and Lemos. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Medicine
Mallik, Saurav
Grodstein, Fran
Bennett, David A.
Vavvas, Demetrios G.
Lemos, Bernardo
Novel Epigenetic Clock Biomarkers of Age-Related Macular Degeneration
title Novel Epigenetic Clock Biomarkers of Age-Related Macular Degeneration
title_full Novel Epigenetic Clock Biomarkers of Age-Related Macular Degeneration
title_fullStr Novel Epigenetic Clock Biomarkers of Age-Related Macular Degeneration
title_full_unstemmed Novel Epigenetic Clock Biomarkers of Age-Related Macular Degeneration
title_short Novel Epigenetic Clock Biomarkers of Age-Related Macular Degeneration
title_sort novel epigenetic clock biomarkers of age-related macular degeneration
topic Medicine
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9244395/
https://www.ncbi.nlm.nih.gov/pubmed/35783640
http://dx.doi.org/10.3389/fmed.2022.856853
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