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Biological Age Predictors

The search for reliable indicators of biological age, rather than chronological age, has been ongoing for over three decades, and until recently, largely without success. Advances in the fields of molecular biology have increased the variety of potential candidate biomarkers that may be considered a...

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Detalles Bibliográficos
Autores principales: Jylhävä, Juulia, Pedersen, Nancy L., Hägg, Sara
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5514388/
https://www.ncbi.nlm.nih.gov/pubmed/28396265
http://dx.doi.org/10.1016/j.ebiom.2017.03.046
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author Jylhävä, Juulia
Pedersen, Nancy L.
Hägg, Sara
author_facet Jylhävä, Juulia
Pedersen, Nancy L.
Hägg, Sara
author_sort Jylhävä, Juulia
collection PubMed
description The search for reliable indicators of biological age, rather than chronological age, has been ongoing for over three decades, and until recently, largely without success. Advances in the fields of molecular biology have increased the variety of potential candidate biomarkers that may be considered as biological age predictors. In this review, we summarize current state-of-the-art findings considering six potential types of biological age predictors: epigenetic clocks, telomere length, transcriptomic predictors, proteomic predictors, metabolomics-based predictors, and composite biomarker predictors. Promising developments consider multiple combinations of these various types of predictors, which may shed light on the aging process and provide further understanding of what contributes to healthy aging. Thus far, the most promising, new biological age predictor is the epigenetic clock; however its true value as a biomarker of aging requires longitudinal confirmation.
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spelling pubmed-55143882017-07-27 Biological Age Predictors Jylhävä, Juulia Pedersen, Nancy L. Hägg, Sara EBioMedicine Review The search for reliable indicators of biological age, rather than chronological age, has been ongoing for over three decades, and until recently, largely without success. Advances in the fields of molecular biology have increased the variety of potential candidate biomarkers that may be considered as biological age predictors. In this review, we summarize current state-of-the-art findings considering six potential types of biological age predictors: epigenetic clocks, telomere length, transcriptomic predictors, proteomic predictors, metabolomics-based predictors, and composite biomarker predictors. Promising developments consider multiple combinations of these various types of predictors, which may shed light on the aging process and provide further understanding of what contributes to healthy aging. Thus far, the most promising, new biological age predictor is the epigenetic clock; however its true value as a biomarker of aging requires longitudinal confirmation. Elsevier 2017-04-01 /pmc/articles/PMC5514388/ /pubmed/28396265 http://dx.doi.org/10.1016/j.ebiom.2017.03.046 Text en © 2017 The Authors http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Review
Jylhävä, Juulia
Pedersen, Nancy L.
Hägg, Sara
Biological Age Predictors
title Biological Age Predictors
title_full Biological Age Predictors
title_fullStr Biological Age Predictors
title_full_unstemmed Biological Age Predictors
title_short Biological Age Predictors
title_sort biological age predictors
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5514388/
https://www.ncbi.nlm.nih.gov/pubmed/28396265
http://dx.doi.org/10.1016/j.ebiom.2017.03.046
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