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Plasma proteomic signature of age in healthy humans
To characterize the proteomic signature of chronological age, 1,301 proteins were measured in plasma using the SOMAscan assay (SomaLogic, Boulder, CO, USA) in a population of 240 healthy men and women, 22–93 years old, who were disease‐ and treatment‐free and had no physical and cognitive impairment...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6156492/ https://www.ncbi.nlm.nih.gov/pubmed/29992704 http://dx.doi.org/10.1111/acel.12799 |
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author | Tanaka, Toshiko Biancotto, Angelique Moaddel, Ruin Moore, Ann Zenobia Gonzalez‐Freire, Marta Aon, Miguel A. Candia, Julián Zhang, Pingbo Cheung, Foo Fantoni, Giovanna Semba, Richard D. Ferrucci, Luigi |
author_facet | Tanaka, Toshiko Biancotto, Angelique Moaddel, Ruin Moore, Ann Zenobia Gonzalez‐Freire, Marta Aon, Miguel A. Candia, Julián Zhang, Pingbo Cheung, Foo Fantoni, Giovanna Semba, Richard D. Ferrucci, Luigi |
author_sort | Tanaka, Toshiko |
collection | PubMed |
description | To characterize the proteomic signature of chronological age, 1,301 proteins were measured in plasma using the SOMAscan assay (SomaLogic, Boulder, CO, USA) in a population of 240 healthy men and women, 22–93 years old, who were disease‐ and treatment‐free and had no physical and cognitive impairment. Using a p ≤ 3.83 × 10(−5) significance threshold, 197 proteins were positively associated, and 20 proteins were negatively associated with age. Growth differentiation factor 15 (GDF15) had the strongest, positive association with age (GDF15; 0.018 ± 0.001, p = 7.49 × 10(−56)). In our sample, GDF15 was not associated with other cardiovascular risk factors such as cholesterol or inflammatory markers. The functional pathways enriched in the 217 age‐associated proteins included blood coagulation, chemokine and inflammatory pathways, axon guidance, peptidase activity, and apoptosis. Using elastic net regression models, we created a proteomic signature of age based on relative concentrations of 76 proteins that highly correlated with chronological age (r = 0.94). The generalizability of our findings needs replication in an independent cohort. |
format | Online Article Text |
id | pubmed-6156492 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-61564922018-10-01 Plasma proteomic signature of age in healthy humans Tanaka, Toshiko Biancotto, Angelique Moaddel, Ruin Moore, Ann Zenobia Gonzalez‐Freire, Marta Aon, Miguel A. Candia, Julián Zhang, Pingbo Cheung, Foo Fantoni, Giovanna Semba, Richard D. Ferrucci, Luigi Aging Cell Original Article To characterize the proteomic signature of chronological age, 1,301 proteins were measured in plasma using the SOMAscan assay (SomaLogic, Boulder, CO, USA) in a population of 240 healthy men and women, 22–93 years old, who were disease‐ and treatment‐free and had no physical and cognitive impairment. Using a p ≤ 3.83 × 10(−5) significance threshold, 197 proteins were positively associated, and 20 proteins were negatively associated with age. Growth differentiation factor 15 (GDF15) had the strongest, positive association with age (GDF15; 0.018 ± 0.001, p = 7.49 × 10(−56)). In our sample, GDF15 was not associated with other cardiovascular risk factors such as cholesterol or inflammatory markers. The functional pathways enriched in the 217 age‐associated proteins included blood coagulation, chemokine and inflammatory pathways, axon guidance, peptidase activity, and apoptosis. Using elastic net regression models, we created a proteomic signature of age based on relative concentrations of 76 proteins that highly correlated with chronological age (r = 0.94). The generalizability of our findings needs replication in an independent cohort. John Wiley and Sons Inc. 2018-07-11 2018-10 /pmc/articles/PMC6156492/ /pubmed/29992704 http://dx.doi.org/10.1111/acel.12799 Text en © 2018 The Authors. Aging Cell published by the Anatomical Society and John Wiley & Sons Ltd. This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Original Article Tanaka, Toshiko Biancotto, Angelique Moaddel, Ruin Moore, Ann Zenobia Gonzalez‐Freire, Marta Aon, Miguel A. Candia, Julián Zhang, Pingbo Cheung, Foo Fantoni, Giovanna Semba, Richard D. Ferrucci, Luigi Plasma proteomic signature of age in healthy humans |
title | Plasma proteomic signature of age in healthy humans |
title_full | Plasma proteomic signature of age in healthy humans |
title_fullStr | Plasma proteomic signature of age in healthy humans |
title_full_unstemmed | Plasma proteomic signature of age in healthy humans |
title_short | Plasma proteomic signature of age in healthy humans |
title_sort | plasma proteomic signature of age in healthy humans |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6156492/ https://www.ncbi.nlm.nih.gov/pubmed/29992704 http://dx.doi.org/10.1111/acel.12799 |
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