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A 25-y longitudinal dolphin cohort supports that long-lived individuals in same environment exhibit variation in aging rates

While it is believed that humans age at different rates, a lack of robust longitudinal human studies using consensus biomarkers meant to capture aging rates has hindered an understanding of the degree to which individuals vary in their rates of aging. Because bottlenose dolphins are long-lived mamma...

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Autores principales: Venn-Watson, Stephanie, Jensen, Eric D., Schork, Nicholas J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: National Academy of Sciences 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7456138/
https://www.ncbi.nlm.nih.gov/pubmed/32778591
http://dx.doi.org/10.1073/pnas.1918755117
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author Venn-Watson, Stephanie
Jensen, Eric D.
Schork, Nicholas J.
author_facet Venn-Watson, Stephanie
Jensen, Eric D.
Schork, Nicholas J.
author_sort Venn-Watson, Stephanie
collection PubMed
description While it is believed that humans age at different rates, a lack of robust longitudinal human studies using consensus biomarkers meant to capture aging rates has hindered an understanding of the degree to which individuals vary in their rates of aging. Because bottlenose dolphins are long-lived mammals that develop comorbidities of aging similar to humans, we analyzed data from a well-controlled, 25-y longitudinal cohort of 144 US Navy dolphins housed in the same oceanic environment. Our analysis focused on 44 clinically relevant hematologic and clinical chemistry measures recorded during routine blood draws throughout the dolphins’ lifetimes. Using stepwise regression and general linear models that accommodate correlations between measures obtained on individual dolphins, we demonstrate that, in a manner similar to humans, dolphins exhibit independent and linear age-related declines in four of these measures: hemoglobin, alkaline phosphatase, platelets, and lymphocytes. Using linear regressions and analyses of covariance with post hoc Tukey–Kramer tests to compare slopes (i.e., linear age-related rates) of our four aging rate biomarkers among 34 individual dolphins aging from 10 y to up to 40 y old, we could identify slow and accelerated agers and differentiate subgroups that were more or less likely to develop anemia and lymphopenia. This study successfully documents aging rate differences over the lifetime of long-lived individuals in a controlled environment. Our study suggests that nonenvironmental factors influencing aging rate biomarkers, including declining hemoglobin and anemia, may be targeted to delay the effects of aging in a compelling model of human biology.
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spelling pubmed-74561382020-09-09 A 25-y longitudinal dolphin cohort supports that long-lived individuals in same environment exhibit variation in aging rates Venn-Watson, Stephanie Jensen, Eric D. Schork, Nicholas J. Proc Natl Acad Sci U S A Biological Sciences While it is believed that humans age at different rates, a lack of robust longitudinal human studies using consensus biomarkers meant to capture aging rates has hindered an understanding of the degree to which individuals vary in their rates of aging. Because bottlenose dolphins are long-lived mammals that develop comorbidities of aging similar to humans, we analyzed data from a well-controlled, 25-y longitudinal cohort of 144 US Navy dolphins housed in the same oceanic environment. Our analysis focused on 44 clinically relevant hematologic and clinical chemistry measures recorded during routine blood draws throughout the dolphins’ lifetimes. Using stepwise regression and general linear models that accommodate correlations between measures obtained on individual dolphins, we demonstrate that, in a manner similar to humans, dolphins exhibit independent and linear age-related declines in four of these measures: hemoglobin, alkaline phosphatase, platelets, and lymphocytes. Using linear regressions and analyses of covariance with post hoc Tukey–Kramer tests to compare slopes (i.e., linear age-related rates) of our four aging rate biomarkers among 34 individual dolphins aging from 10 y to up to 40 y old, we could identify slow and accelerated agers and differentiate subgroups that were more or less likely to develop anemia and lymphopenia. This study successfully documents aging rate differences over the lifetime of long-lived individuals in a controlled environment. Our study suggests that nonenvironmental factors influencing aging rate biomarkers, including declining hemoglobin and anemia, may be targeted to delay the effects of aging in a compelling model of human biology. National Academy of Sciences 2020-08-25 2020-08-10 /pmc/articles/PMC7456138/ /pubmed/32778591 http://dx.doi.org/10.1073/pnas.1918755117 Text en Copyright © 2020 the Author(s). Published by PNAS. https://creativecommons.org/licenses/by-nc-nd/4.0/ https://creativecommons.org/licenses/by-nc-nd/4.0/This open access article is distributed under Creative Commons Attribution-NonCommercial-NoDerivatives License 4.0 (CC BY-NC-ND) (https://creativecommons.org/licenses/by-nc-nd/4.0/) .
spellingShingle Biological Sciences
Venn-Watson, Stephanie
Jensen, Eric D.
Schork, Nicholas J.
A 25-y longitudinal dolphin cohort supports that long-lived individuals in same environment exhibit variation in aging rates
title A 25-y longitudinal dolphin cohort supports that long-lived individuals in same environment exhibit variation in aging rates
title_full A 25-y longitudinal dolphin cohort supports that long-lived individuals in same environment exhibit variation in aging rates
title_fullStr A 25-y longitudinal dolphin cohort supports that long-lived individuals in same environment exhibit variation in aging rates
title_full_unstemmed A 25-y longitudinal dolphin cohort supports that long-lived individuals in same environment exhibit variation in aging rates
title_short A 25-y longitudinal dolphin cohort supports that long-lived individuals in same environment exhibit variation in aging rates
title_sort 25-y longitudinal dolphin cohort supports that long-lived individuals in same environment exhibit variation in aging rates
topic Biological Sciences
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7456138/
https://www.ncbi.nlm.nih.gov/pubmed/32778591
http://dx.doi.org/10.1073/pnas.1918755117
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