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Aging and Imaging Assessment of Body Composition: From Fat to Facts

The aging process is characterized by the chronic inflammatory status called “inflammaging”, which shares major molecular and cellular features with the metabolism-induced inflammation called “metaflammation.” Metaflammation is mainly driven by overnutrition and nutrient excess, but other contributi...

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Autores principales: Ponti, Federico, Santoro, Aurelia, Mercatelli, Daniele, Gasperini, Chiara, Conte, Maria, Martucci, Morena, Sangiorgi, Luca, Franceschi, Claudio, Bazzocchi, Alberto
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6970947/
https://www.ncbi.nlm.nih.gov/pubmed/31993018
http://dx.doi.org/10.3389/fendo.2019.00861
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author Ponti, Federico
Santoro, Aurelia
Mercatelli, Daniele
Gasperini, Chiara
Conte, Maria
Martucci, Morena
Sangiorgi, Luca
Franceschi, Claudio
Bazzocchi, Alberto
author_facet Ponti, Federico
Santoro, Aurelia
Mercatelli, Daniele
Gasperini, Chiara
Conte, Maria
Martucci, Morena
Sangiorgi, Luca
Franceschi, Claudio
Bazzocchi, Alberto
author_sort Ponti, Federico
collection PubMed
description The aging process is characterized by the chronic inflammatory status called “inflammaging”, which shares major molecular and cellular features with the metabolism-induced inflammation called “metaflammation.” Metaflammation is mainly driven by overnutrition and nutrient excess, but other contributing factors are metabolic modifications related to the specific body composition (BC) changes occurring with age. The aging process is indeed characterized by an increase in body total fat mass and a concomitant decrease in lean mass and bone density, that are independent from general and physiological fluctuations in weight and body mass index (BMI). Body adiposity is also re-distributed with age, resulting in a general increase in trunk fat (mainly abdominal fat) and a reduction in appendicular fat (mainly subcutaneous fat). Moreover, the accumulation of fat infiltration in organs such as liver and muscles also increases in elderly, while subcutaneous fat mass tends to decrease. These specific variations in BC are considered risk factors for the major age-related diseases, such as cardiovascular diseases, type 2 diabetes, sarcopenia and osteoporosis, and can predispose to disabilities. Thus, the maintenance of a balance rate of fat, muscle and bone is crucial to preserve metabolic homeostasis and a health status, positively contributing to a successful aging. For this reason, a detailed assessment of BC in elderly is critical and could be an additional preventive personalized strategy for age-related diseases. Despite BMI and other clinical measures, such as waist circumference measurement, waist-hip ratio, underwater weighing and bioelectrical impedance, are widely used as a surrogate measure for body adiposity, they barely reflect the distribution of body fat. Because of the great advantages offered by imaging tools in research and clinics, the attention of clinicians is now moving to powerful imaging techniques such as computed tomography, magnetic resonance imaging, dual-energy X-ray absorptiometry and ultrasound to obtain a more accurate estimation of BC. The aim of this review is to present the state of the art of the imaging techniques that are currently available to measure BC and that can be applied to the study of BC changes in the elderly, outlining advantages and disadvantages of each technique.
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spelling pubmed-69709472020-01-28 Aging and Imaging Assessment of Body Composition: From Fat to Facts Ponti, Federico Santoro, Aurelia Mercatelli, Daniele Gasperini, Chiara Conte, Maria Martucci, Morena Sangiorgi, Luca Franceschi, Claudio Bazzocchi, Alberto Front Endocrinol (Lausanne) Endocrinology The aging process is characterized by the chronic inflammatory status called “inflammaging”, which shares major molecular and cellular features with the metabolism-induced inflammation called “metaflammation.” Metaflammation is mainly driven by overnutrition and nutrient excess, but other contributing factors are metabolic modifications related to the specific body composition (BC) changes occurring with age. The aging process is indeed characterized by an increase in body total fat mass and a concomitant decrease in lean mass and bone density, that are independent from general and physiological fluctuations in weight and body mass index (BMI). Body adiposity is also re-distributed with age, resulting in a general increase in trunk fat (mainly abdominal fat) and a reduction in appendicular fat (mainly subcutaneous fat). Moreover, the accumulation of fat infiltration in organs such as liver and muscles also increases in elderly, while subcutaneous fat mass tends to decrease. These specific variations in BC are considered risk factors for the major age-related diseases, such as cardiovascular diseases, type 2 diabetes, sarcopenia and osteoporosis, and can predispose to disabilities. Thus, the maintenance of a balance rate of fat, muscle and bone is crucial to preserve metabolic homeostasis and a health status, positively contributing to a successful aging. For this reason, a detailed assessment of BC in elderly is critical and could be an additional preventive personalized strategy for age-related diseases. Despite BMI and other clinical measures, such as waist circumference measurement, waist-hip ratio, underwater weighing and bioelectrical impedance, are widely used as a surrogate measure for body adiposity, they barely reflect the distribution of body fat. Because of the great advantages offered by imaging tools in research and clinics, the attention of clinicians is now moving to powerful imaging techniques such as computed tomography, magnetic resonance imaging, dual-energy X-ray absorptiometry and ultrasound to obtain a more accurate estimation of BC. The aim of this review is to present the state of the art of the imaging techniques that are currently available to measure BC and that can be applied to the study of BC changes in the elderly, outlining advantages and disadvantages of each technique. Frontiers Media S.A. 2020-01-14 /pmc/articles/PMC6970947/ /pubmed/31993018 http://dx.doi.org/10.3389/fendo.2019.00861 Text en Copyright © 2020 Ponti, Santoro, Mercatelli, Gasperini, Conte, Martucci, Sangiorgi, Franceschi and Bazzocchi. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Endocrinology
Ponti, Federico
Santoro, Aurelia
Mercatelli, Daniele
Gasperini, Chiara
Conte, Maria
Martucci, Morena
Sangiorgi, Luca
Franceschi, Claudio
Bazzocchi, Alberto
Aging and Imaging Assessment of Body Composition: From Fat to Facts
title Aging and Imaging Assessment of Body Composition: From Fat to Facts
title_full Aging and Imaging Assessment of Body Composition: From Fat to Facts
title_fullStr Aging and Imaging Assessment of Body Composition: From Fat to Facts
title_full_unstemmed Aging and Imaging Assessment of Body Composition: From Fat to Facts
title_short Aging and Imaging Assessment of Body Composition: From Fat to Facts
title_sort aging and imaging assessment of body composition: from fat to facts
topic Endocrinology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6970947/
https://www.ncbi.nlm.nih.gov/pubmed/31993018
http://dx.doi.org/10.3389/fendo.2019.00861
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