Cargando…
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...
Autores principales: | , , |
---|---|
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 |
_version_ | 1783250831335751680 |
---|---|
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. |
format | Online Article Text |
id | pubmed-5514388 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT jylhavajuulia biologicalagepredictors AT pedersennancyl biologicalagepredictors AT haggsara biologicalagepredictors |