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Circulating Proteomic Signatures of Chronological Age
To elucidate the proteomic features of aging in plasma, the subproteome targeted by the SOMAscan assay was profiled in blood samples from 202 females from the TwinsUK cohort. Findings were replicated in 677 independent individuals from the AddNeuroMed, Alzheimer’s Research UK, and Dementia Case Regi...
Autores principales: | , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4469006/ https://www.ncbi.nlm.nih.gov/pubmed/25123647 http://dx.doi.org/10.1093/gerona/glu121 |
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author | Menni, Cristina Kiddle, Steven J. Mangino, Massimo Viñuela, Ana Psatha, Maria Steves, Claire Sattlecker, Martina Buil, Alfonso Newhouse, Stephen Nelson, Sally Williams, Stephen Voyle, Nicola Soininen, Hilkka Kloszewska, Iwona Mecocci, Patrizia Tsolaki, Magda Vellas, Bruno Lovestone, Simon Spector, Tim D. Dobson, Richard Valdes, Ana M. |
author_facet | Menni, Cristina Kiddle, Steven J. Mangino, Massimo Viñuela, Ana Psatha, Maria Steves, Claire Sattlecker, Martina Buil, Alfonso Newhouse, Stephen Nelson, Sally Williams, Stephen Voyle, Nicola Soininen, Hilkka Kloszewska, Iwona Mecocci, Patrizia Tsolaki, Magda Vellas, Bruno Lovestone, Simon Spector, Tim D. Dobson, Richard Valdes, Ana M. |
author_sort | Menni, Cristina |
collection | PubMed |
description | To elucidate the proteomic features of aging in plasma, the subproteome targeted by the SOMAscan assay was profiled in blood samples from 202 females from the TwinsUK cohort. Findings were replicated in 677 independent individuals from the AddNeuroMed, Alzheimer’s Research UK, and Dementia Case Registry cohorts. Results were further validated using RNAseq data from whole blood in TwinsUK and the most significant proteins were tested for association with aging-related phenotypes after adjustment for age. Eleven proteins were associated with chronological age and were replicated at protein level in an independent population. These were further investigated at gene expression level in 384 females from the TwinsUK cohort. The two most strongly associated proteins were chordin-like protein 1 (meta-analysis β [SE] = 0.013 [0.001], p = 3.66 × 10(−46)) and pleiotrophin (0.012 [0.005], p = 3.88 × 10(−41)). Chordin-like protein 1 was also significantly correlated with birthweight (0.06 [0.02], p = 0.005) and with the individual Framingham 10-years cardiovascular risk scores in TwinsUK (0.71 [0.18], p = 9.9 × 10(−5)). Pleiotrophin is a secreted growth factor with a plethora of functions in multiple tissues and known to be a marker for cardiovascular risk and osteoporosis. Our study highlights the importance of proteomics to identify some molecular mechanisms involved in human health and aging. |
format | Online Article Text |
id | pubmed-4469006 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-44690062015-06-17 Circulating Proteomic Signatures of Chronological Age Menni, Cristina Kiddle, Steven J. Mangino, Massimo Viñuela, Ana Psatha, Maria Steves, Claire Sattlecker, Martina Buil, Alfonso Newhouse, Stephen Nelson, Sally Williams, Stephen Voyle, Nicola Soininen, Hilkka Kloszewska, Iwona Mecocci, Patrizia Tsolaki, Magda Vellas, Bruno Lovestone, Simon Spector, Tim D. Dobson, Richard Valdes, Ana M. J Gerontol A Biol Sci Med Sci Original Article To elucidate the proteomic features of aging in plasma, the subproteome targeted by the SOMAscan assay was profiled in blood samples from 202 females from the TwinsUK cohort. Findings were replicated in 677 independent individuals from the AddNeuroMed, Alzheimer’s Research UK, and Dementia Case Registry cohorts. Results were further validated using RNAseq data from whole blood in TwinsUK and the most significant proteins were tested for association with aging-related phenotypes after adjustment for age. Eleven proteins were associated with chronological age and were replicated at protein level in an independent population. These were further investigated at gene expression level in 384 females from the TwinsUK cohort. The two most strongly associated proteins were chordin-like protein 1 (meta-analysis β [SE] = 0.013 [0.001], p = 3.66 × 10(−46)) and pleiotrophin (0.012 [0.005], p = 3.88 × 10(−41)). Chordin-like protein 1 was also significantly correlated with birthweight (0.06 [0.02], p = 0.005) and with the individual Framingham 10-years cardiovascular risk scores in TwinsUK (0.71 [0.18], p = 9.9 × 10(−5)). Pleiotrophin is a secreted growth factor with a plethora of functions in multiple tissues and known to be a marker for cardiovascular risk and osteoporosis. Our study highlights the importance of proteomics to identify some molecular mechanisms involved in human health and aging. Oxford University Press 2015-07 2014-08-14 /pmc/articles/PMC4469006/ /pubmed/25123647 http://dx.doi.org/10.1093/gerona/glu121 Text en © The Author 2014. Published by Oxford University Press on behalf of The Gerontological Society of America. http://creativecommons.org/licenses/by-nc/4.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com |
spellingShingle | Original Article Menni, Cristina Kiddle, Steven J. Mangino, Massimo Viñuela, Ana Psatha, Maria Steves, Claire Sattlecker, Martina Buil, Alfonso Newhouse, Stephen Nelson, Sally Williams, Stephen Voyle, Nicola Soininen, Hilkka Kloszewska, Iwona Mecocci, Patrizia Tsolaki, Magda Vellas, Bruno Lovestone, Simon Spector, Tim D. Dobson, Richard Valdes, Ana M. Circulating Proteomic Signatures of Chronological Age |
title | Circulating Proteomic Signatures of Chronological Age |
title_full | Circulating Proteomic Signatures of Chronological Age |
title_fullStr | Circulating Proteomic Signatures of Chronological Age |
title_full_unstemmed | Circulating Proteomic Signatures of Chronological Age |
title_short | Circulating Proteomic Signatures of Chronological Age |
title_sort | circulating proteomic signatures of chronological age |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4469006/ https://www.ncbi.nlm.nih.gov/pubmed/25123647 http://dx.doi.org/10.1093/gerona/glu121 |
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