Altered features of body composition in older adults with type 2 diabetes and prediabetes compared with matched controls.
Muscle
Subcutaneous adipose tissue
Texture analysis
Ultrasound
Journal
Journal of cachexia, sarcopenia and muscle
ISSN: 2190-6009
Titre abrégé: J Cachexia Sarcopenia Muscle
Pays: Germany
ID NLM: 101552883
Informations de publication
Date de publication:
04 2022
04 2022
Historique:
revised:
08
12
2021
received:
13
07
2021
accepted:
01
02
2022
pubmed:
18
2
2022
medline:
6
4
2022
entrez:
17
2
2022
Statut:
ppublish
Résumé
Ageing is accompanied by muscle loss and fat gain, which may elevate the risk of type 2 diabetes (T2D). However, there is a paucity of data on the distribution of regional lean and fat tissue in older adults with T2D or prediabetes compared with healthy controls. The objective of this study was to compare regional body composition [by dual-energy x-ray absorptiometry (DXA)], muscle and subcutaneous adipose tissue (SAT) thicknesses (by ultrasound), and ultrasound-based muscle texture features in older adults with T2D or prediabetes compared with normoglycaemic controls. Eighteen adults > 60 years with T2D or prediabetes (T2D group) were individually matched to normoglycaemic participants [healthy matched (HM) group] for age (±5 years), sex, and body fat (±2.5%). In a single study visit, all participants received a whole-body DXA scan and ultrasound assessment of the abdomen and anterior thigh. At these two landmarks, we used ultrasound to measure muscle and SAT thickness, as well as texture features of the rectus femoris and rectus abdominis. We also conducted an exploratory subanalysis on a subset of participants (n = 14/18 in the T2D group and n = 10/18 in the HM group) who underwent additional assessments including strength testing of the knee extensors (using a Biodex dynamometer), and a fasting blood sample for the measurement of circulating markers of glucose metabolism [glucose, insulin, c-peptide, and the homoeostatic model assessment of insulin resistance (HOMA-IR)]. The T2D group was 72 ± 8 years old (mean ± SD), predominantly male (n = 15/18; 83%), and overweight (BMI: 27.8 ± 4.2 kg/m Our findings suggest a novel body composition phenotype specific to older adults with T2D or prediabetes. We are also the first to report that ultrasound-based texture features correspond with functional outcomes. Future larger scale studies are needed to uncover the mechanisms underpinning these regional body composition differences.
Sections du résumé
BACKGROUND
Ageing is accompanied by muscle loss and fat gain, which may elevate the risk of type 2 diabetes (T2D). However, there is a paucity of data on the distribution of regional lean and fat tissue in older adults with T2D or prediabetes compared with healthy controls. The objective of this study was to compare regional body composition [by dual-energy x-ray absorptiometry (DXA)], muscle and subcutaneous adipose tissue (SAT) thicknesses (by ultrasound), and ultrasound-based muscle texture features in older adults with T2D or prediabetes compared with normoglycaemic controls.
METHODS
Eighteen adults > 60 years with T2D or prediabetes (T2D group) were individually matched to normoglycaemic participants [healthy matched (HM) group] for age (±5 years), sex, and body fat (±2.5%). In a single study visit, all participants received a whole-body DXA scan and ultrasound assessment of the abdomen and anterior thigh. At these two landmarks, we used ultrasound to measure muscle and SAT thickness, as well as texture features of the rectus femoris and rectus abdominis. We also conducted an exploratory subanalysis on a subset of participants (n = 14/18 in the T2D group and n = 10/18 in the HM group) who underwent additional assessments including strength testing of the knee extensors (using a Biodex dynamometer), and a fasting blood sample for the measurement of circulating markers of glucose metabolism [glucose, insulin, c-peptide, and the homoeostatic model assessment of insulin resistance (HOMA-IR)].
RESULTS
The T2D group was 72 ± 8 years old (mean ± SD), predominantly male (n = 15/18; 83%), and overweight (BMI: 27.8 ± 4.2 kg/m
CONCLUSIONS
Our findings suggest a novel body composition phenotype specific to older adults with T2D or prediabetes. We are also the first to report that ultrasound-based texture features correspond with functional outcomes. Future larger scale studies are needed to uncover the mechanisms underpinning these regional body composition differences.
Identifiants
pubmed: 35174664
doi: 10.1002/jcsm.12957
pmc: PMC8978006
doi:
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
1087-1099Subventions
Organisme : Canada Foundation for Innovation
Informations de copyright
© 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.
Références
Int J Sport Nutr Exerc Metab. 2012 Oct;22(5):313-22
pubmed: 23011648
Am J Epidemiol. 1998 Apr 15;147(8):755-63
pubmed: 9554417
Physiol Rev. 2013 Jan;93(1):359-404
pubmed: 23303913
J Diabetes Investig. 2019 Mar;10(2):322-330
pubmed: 30098231
J Diabetes Investig. 2019 Jul;10(4):1012-1021
pubmed: 30536746
J Cachexia Sarcopenia Muscle. 2022 Apr;13(2):1087-1099
pubmed: 35174664
J Am Med Dir Assoc. 2013 Aug;14(8):585-92
pubmed: 23537893
Nutr Rev. 1987 Aug;45(8):225-31
pubmed: 3306482
BMC Musculoskelet Disord. 2006 Jan 18;7:2
pubmed: 16420695
Muscle Nerve. 2015 Dec;52(6):963-71
pubmed: 25787260
Geriatr Gerontol Int. 2014 Feb;14 Suppl 1:115-21
pubmed: 24450569
Obesity (Silver Spring). 2013 Apr;21(4):824-30
pubmed: 23404933
Diabetes Care. 2009 Nov;32(11):1993-7
pubmed: 19549734
J Cachexia Sarcopenia Muscle. 2017 Oct;8(5):713-726
pubmed: 28722298
Yonsei Med J. 2019 Aug;60(8):742-750
pubmed: 31347329
Diabetes. 2003 Jun;52(6):1377-85
pubmed: 12765947
J Cachexia Sarcopenia Muscle. 2021 Dec;12(6):2259-2261
pubmed: 34904399
Ageing Res Rev. 2009 Oct;8(4):339-48
pubmed: 19576300
Ann Am Thorac Soc. 2017 Oct;14(10):1495-1503
pubmed: 28820608
Clin Radiol. 2004 Dec;59(12):1061-9
pubmed: 15556588
J Sports Sci Med. 2011 Mar 01;10(1):145-50
pubmed: 24149307
Diabetes Care. 1981 Jul-Aug;4(4):493-501
pubmed: 7049632
Diabetes. 2007 May;56(5):1369-75
pubmed: 17287467
Diabetes Care. 2010 Jul;33(7):1497-9
pubmed: 20413515
Int J Obes. 1983;7(2):99-107
pubmed: 6862762
Ultrasound Med Biol. 2018 Jan;44(1):102-109
pubmed: 29100791
Ultrasound Med Biol. 2015 Sep;41(9):2520-32
pubmed: 26026375
Sci Rep. 2016 Dec 13;6:38937
pubmed: 27958337
Physiol Res. 2017 Mar 31;66(1):99-111
pubmed: 27782739
Diabetes Care. 1998 May;21(5):828-30
pubmed: 9589249
J Ultrasound Med. 2017 Jul;36(7):1383-1395
pubmed: 28390140
J Clin Endocrinol Metab. 2016 Oct;101(10):3740-3746
pubmed: 27490920
Aging Clin Exp Res. 2003 Aug;15(4):321-7
pubmed: 14661824
Clin Physiol Funct Imaging. 2020 Jul;40(4):277-283
pubmed: 32342635
Ultrasound Med Biol. 2021 Apr;47(4):880-895
pubmed: 33451817
J Ultrasound Med. 1993 Feb;12(2):73-7
pubmed: 8468739
Diabetes Metab J. 2016 Apr;40(2):140-6
pubmed: 27126884
Endocrinology. 2004 May;145(5):2273-82
pubmed: 14726444
Diabetes. 1999 May;48(5):1113-9
pubmed: 10331418
Clin Nutr. 2021 Mar;40(3):1381-1387
pubmed: 32917418