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AnthropoAge, a novel approach to integrate body composition into the estimation of biological age

Aging is believed to occur across multiple domains, one of which is body composition; however, attempts to integrate it into biological age (BA) have been limited. Here, we consider the sex‐dependent role of anthropometry for the prediction of 10‐year all‐cause mortality using data from 18,794 NHANE...

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Autores principales: Fermín‐Martínez, Carlos A., Márquez‐Salinas, Alejandro, Guerra, Enrique C., Zavala‐Romero, Lilian, Antonio‐Villa, Neftali Eduardo, Fernández‐Chirino, Luisa, Sandoval‐Colin, Eduardo, Barquera‐Guevara, Daphne Abigail, Campos Muñoz, Alejandro, Vargas‐Vázquez, Arsenio, Paz‐Cabrera, César Daniel, Ramírez‐García, Daniel, Gutiérrez‐Robledo, Luis Miguel, Bello‐Chavolla, Omar Yaxmehen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9835580/
https://www.ncbi.nlm.nih.gov/pubmed/36547004
http://dx.doi.org/10.1111/acel.13756
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author Fermín‐Martínez, Carlos A.
Márquez‐Salinas, Alejandro
Guerra, Enrique C.
Zavala‐Romero, Lilian
Antonio‐Villa, Neftali Eduardo
Fernández‐Chirino, Luisa
Sandoval‐Colin, Eduardo
Barquera‐Guevara, Daphne Abigail
Campos Muñoz, Alejandro
Vargas‐Vázquez, Arsenio
Paz‐Cabrera, César Daniel
Ramírez‐García, Daniel
Gutiérrez‐Robledo, Luis Miguel
Bello‐Chavolla, Omar Yaxmehen
author_facet Fermín‐Martínez, Carlos A.
Márquez‐Salinas, Alejandro
Guerra, Enrique C.
Zavala‐Romero, Lilian
Antonio‐Villa, Neftali Eduardo
Fernández‐Chirino, Luisa
Sandoval‐Colin, Eduardo
Barquera‐Guevara, Daphne Abigail
Campos Muñoz, Alejandro
Vargas‐Vázquez, Arsenio
Paz‐Cabrera, César Daniel
Ramírez‐García, Daniel
Gutiérrez‐Robledo, Luis Miguel
Bello‐Chavolla, Omar Yaxmehen
author_sort Fermín‐Martínez, Carlos A.
collection PubMed
description Aging is believed to occur across multiple domains, one of which is body composition; however, attempts to integrate it into biological age (BA) have been limited. Here, we consider the sex‐dependent role of anthropometry for the prediction of 10‐year all‐cause mortality using data from 18,794 NHANES participants to generate and validate a new BA metric. Our data‐driven approach pointed to sex‐specific contributors for BA estimation: WHtR, arm and thigh circumferences for men; weight, WHtR, thigh circumference, subscapular and triceps skinfolds for women. We used these measurements to generate AnthropoAge, which predicted all‐cause mortality (AUROC 0.876, 95%CI 0.864–0.887) and cause‐specific mortality independently of ethnicity, sex, and comorbidities; AnthropoAge was a better predictor than PhenoAge for cerebrovascular, Alzheimer, and COPD mortality. A metric of age acceleration was also derived and used to assess sexual dimorphisms linked to accelerated aging, where women had an increase in overall body mass plus an important subcutaneous to visceral fat redistribution, and men displayed a marked decrease in fat and muscle mass. Finally, we showed that consideration of multiple BA metrics may identify unique aging trajectories with increased mortality (HR for multidomain acceleration 2.43, 95%CI 2.25–2.62) and comorbidity profiles. A simplified version of AnthropoAge (S‐AnthropoAge) was generated using only BMI and WHtR, all results were preserved using this metric. In conclusion, AnthropoAge is a useful proxy of BA that captures cause‐specific mortality and sex dimorphisms in body composition, and it could be used for future multidomain assessments of aging to better characterize the heterogeneity of this phenomenon.
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spelling pubmed-98355802023-01-18 AnthropoAge, a novel approach to integrate body composition into the estimation of biological age Fermín‐Martínez, Carlos A. Márquez‐Salinas, Alejandro Guerra, Enrique C. Zavala‐Romero, Lilian Antonio‐Villa, Neftali Eduardo Fernández‐Chirino, Luisa Sandoval‐Colin, Eduardo Barquera‐Guevara, Daphne Abigail Campos Muñoz, Alejandro Vargas‐Vázquez, Arsenio Paz‐Cabrera, César Daniel Ramírez‐García, Daniel Gutiérrez‐Robledo, Luis Miguel Bello‐Chavolla, Omar Yaxmehen Aging Cell Research Articles Aging is believed to occur across multiple domains, one of which is body composition; however, attempts to integrate it into biological age (BA) have been limited. Here, we consider the sex‐dependent role of anthropometry for the prediction of 10‐year all‐cause mortality using data from 18,794 NHANES participants to generate and validate a new BA metric. Our data‐driven approach pointed to sex‐specific contributors for BA estimation: WHtR, arm and thigh circumferences for men; weight, WHtR, thigh circumference, subscapular and triceps skinfolds for women. We used these measurements to generate AnthropoAge, which predicted all‐cause mortality (AUROC 0.876, 95%CI 0.864–0.887) and cause‐specific mortality independently of ethnicity, sex, and comorbidities; AnthropoAge was a better predictor than PhenoAge for cerebrovascular, Alzheimer, and COPD mortality. A metric of age acceleration was also derived and used to assess sexual dimorphisms linked to accelerated aging, where women had an increase in overall body mass plus an important subcutaneous to visceral fat redistribution, and men displayed a marked decrease in fat and muscle mass. Finally, we showed that consideration of multiple BA metrics may identify unique aging trajectories with increased mortality (HR for multidomain acceleration 2.43, 95%CI 2.25–2.62) and comorbidity profiles. A simplified version of AnthropoAge (S‐AnthropoAge) was generated using only BMI and WHtR, all results were preserved using this metric. In conclusion, AnthropoAge is a useful proxy of BA that captures cause‐specific mortality and sex dimorphisms in body composition, and it could be used for future multidomain assessments of aging to better characterize the heterogeneity of this phenomenon. John Wiley and Sons Inc. 2022-12-22 /pmc/articles/PMC9835580/ /pubmed/36547004 http://dx.doi.org/10.1111/acel.13756 Text en © 2022 The Authors. Aging Cell published by Anatomical Society and John Wiley & Sons Ltd. https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Articles
Fermín‐Martínez, Carlos A.
Márquez‐Salinas, Alejandro
Guerra, Enrique C.
Zavala‐Romero, Lilian
Antonio‐Villa, Neftali Eduardo
Fernández‐Chirino, Luisa
Sandoval‐Colin, Eduardo
Barquera‐Guevara, Daphne Abigail
Campos Muñoz, Alejandro
Vargas‐Vázquez, Arsenio
Paz‐Cabrera, César Daniel
Ramírez‐García, Daniel
Gutiérrez‐Robledo, Luis Miguel
Bello‐Chavolla, Omar Yaxmehen
AnthropoAge, a novel approach to integrate body composition into the estimation of biological age
title AnthropoAge, a novel approach to integrate body composition into the estimation of biological age
title_full AnthropoAge, a novel approach to integrate body composition into the estimation of biological age
title_fullStr AnthropoAge, a novel approach to integrate body composition into the estimation of biological age
title_full_unstemmed AnthropoAge, a novel approach to integrate body composition into the estimation of biological age
title_short AnthropoAge, a novel approach to integrate body composition into the estimation of biological age
title_sort anthropoage, a novel approach to integrate body composition into the estimation of biological age
topic Research Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9835580/
https://www.ncbi.nlm.nih.gov/pubmed/36547004
http://dx.doi.org/10.1111/acel.13756
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