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Analysis of the adiponectin paradox in healthy older people

BACKGROUND: It remains unknown why adiponectin levels are associated with poor physical functioning, skeletal muscle mass and increased mortality in older populations. METHODS: In 190 healthy adults (59–86 years, BMI 17–37 kg/m(2), 56.8% female), whole body skeletal muscle mass (normalized by height...

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Autores principales: Walowski, Carina O., Herpich, Catrin, Enderle, Janna, Braun, Wiebke, Both, Marcus, Hasler, Mario, Müller, Manfred J., Norman, Kristina, Bosy‐Westphal, Anja
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/PMC9891976/
https://www.ncbi.nlm.nih.gov/pubmed/36401062
http://dx.doi.org/10.1002/jcsm.13127
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author Walowski, Carina O.
Herpich, Catrin
Enderle, Janna
Braun, Wiebke
Both, Marcus
Hasler, Mario
Müller, Manfred J.
Norman, Kristina
Bosy‐Westphal, Anja
author_facet Walowski, Carina O.
Herpich, Catrin
Enderle, Janna
Braun, Wiebke
Both, Marcus
Hasler, Mario
Müller, Manfred J.
Norman, Kristina
Bosy‐Westphal, Anja
author_sort Walowski, Carina O.
collection PubMed
description BACKGROUND: It remains unknown why adiponectin levels are associated with poor physical functioning, skeletal muscle mass and increased mortality in older populations. METHODS: In 190 healthy adults (59–86 years, BMI 17–37 kg/m(2), 56.8% female), whole body skeletal muscle mass (normalized by height, SMI, kg/m(2)), muscle and liver fat were determined by magnetic resonance imaging. Bone mineral content (BMC) and density (BMD) were assessed by dual X‐ray absorptiometry (n = 135). Levels of insulin‐like growth factor 1 (IGF‐1), insulin, inflammation markers, leptin and fibroblast growth factor 21 were measured as potential determinants of the relationship between adiponectin and body composition. RESULTS: Higher adiponectin levels were associated with a lower SMI (r = −0.23, P < 0.01), BMC (r = −0.17, P < 0.05) and liver fat (r = −0.20, P < 0.05) in the total population and with higher muscle fat in women (r = 0.27, P < 0.01). By contrast, IGF‐1 showed positive correlations with SMI (r = 0.33), BMD (r = 0.37) and BMC (r = 0.33) (all P < 0.01) and a negative correlation with muscle fat (r = −0.17, P < 0.05). IGF‐1 was negatively associated with age (r = −0.21, P < 0.01) and with adiponectin (r = −0.15, P < 0.05). Stepwise regression analyses revealed that IGF‐1, insulin and leptin explained 18% of the variance in SMI, and IGF‐1, leptin and age explained 16% of the variance in BMC, whereas adiponectin did not contribute to these models. CONCLUSIONS: Associations between higher adiponectin levels and lower muscle or bone mass in healthy older adults may be explained by a decrease in IGF‐1 with increasing adiponectin levels.
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spelling pubmed-98919762023-02-02 Analysis of the adiponectin paradox in healthy older people Walowski, Carina O. Herpich, Catrin Enderle, Janna Braun, Wiebke Both, Marcus Hasler, Mario Müller, Manfred J. Norman, Kristina Bosy‐Westphal, Anja J Cachexia Sarcopenia Muscle Original Articles BACKGROUND: It remains unknown why adiponectin levels are associated with poor physical functioning, skeletal muscle mass and increased mortality in older populations. METHODS: In 190 healthy adults (59–86 years, BMI 17–37 kg/m(2), 56.8% female), whole body skeletal muscle mass (normalized by height, SMI, kg/m(2)), muscle and liver fat were determined by magnetic resonance imaging. Bone mineral content (BMC) and density (BMD) were assessed by dual X‐ray absorptiometry (n = 135). Levels of insulin‐like growth factor 1 (IGF‐1), insulin, inflammation markers, leptin and fibroblast growth factor 21 were measured as potential determinants of the relationship between adiponectin and body composition. RESULTS: Higher adiponectin levels were associated with a lower SMI (r = −0.23, P < 0.01), BMC (r = −0.17, P < 0.05) and liver fat (r = −0.20, P < 0.05) in the total population and with higher muscle fat in women (r = 0.27, P < 0.01). By contrast, IGF‐1 showed positive correlations with SMI (r = 0.33), BMD (r = 0.37) and BMC (r = 0.33) (all P < 0.01) and a negative correlation with muscle fat (r = −0.17, P < 0.05). IGF‐1 was negatively associated with age (r = −0.21, P < 0.01) and with adiponectin (r = −0.15, P < 0.05). Stepwise regression analyses revealed that IGF‐1, insulin and leptin explained 18% of the variance in SMI, and IGF‐1, leptin and age explained 16% of the variance in BMC, whereas adiponectin did not contribute to these models. CONCLUSIONS: Associations between higher adiponectin levels and lower muscle or bone mass in healthy older adults may be explained by a decrease in IGF‐1 with increasing adiponectin levels. John Wiley and Sons Inc. 2022-11-18 /pmc/articles/PMC9891976/ /pubmed/36401062 http://dx.doi.org/10.1002/jcsm.13127 Text en © 2022 The Authors. Journal of Cachexia, Sarcopenia and Muscle published by John Wiley & Sons Ltd on behalf of Society on Sarcopenia, Cachexia and Wasting Disorders. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ (https://creativecommons.org/licenses/by-nc-nd/4.0/) License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made.
spellingShingle Original Articles
Walowski, Carina O.
Herpich, Catrin
Enderle, Janna
Braun, Wiebke
Both, Marcus
Hasler, Mario
Müller, Manfred J.
Norman, Kristina
Bosy‐Westphal, Anja
Analysis of the adiponectin paradox in healthy older people
title Analysis of the adiponectin paradox in healthy older people
title_full Analysis of the adiponectin paradox in healthy older people
title_fullStr Analysis of the adiponectin paradox in healthy older people
title_full_unstemmed Analysis of the adiponectin paradox in healthy older people
title_short Analysis of the adiponectin paradox in healthy older people
title_sort analysis of the adiponectin paradox in healthy older people
topic Original Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9891976/
https://www.ncbi.nlm.nih.gov/pubmed/36401062
http://dx.doi.org/10.1002/jcsm.13127
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