Sarcopenic obesity is associated with telomere shortening: findings from the NHANES 1999-2002.
Thomas R GoddardKostas TsintzasBlossom C M StephanCarla M PradoMohsen MazidiMario SiervoPublished in: International journal of obesity (2005) (2021)
Sarcopenic obesity (SO) is characterised by the concurrent presence of sarcopenia and excess adiposity. Telomere shortening has been associated with sarcopenia and obesity alone but the association between SO and telomere length (TL) has not been investigated. This study aimed to investigate SO and TL in an adult population. Data were from 5397 individuals (mean age = 44.7 years, 51.3% male) enrolled in the National Health and Nutrition Examination Survey. Body composition (BC) was assessed by Dual Energy X-Ray Absorptiometry. Two models were used to assess SO: a BC model including four phenotypes derived from the combination of high or low adiposity and muscle mass; and, a truncal fat mass to appendicular skeletal mass ratio (TrFM/ASM). TL was assessed using quantitative polymerase chain reaction and expressed as base pairs. The mean TL, relative to the reference DNA, was calculated and expressed as the mean T/S ratio. A General Linear Model was applied to determine associations between TL for SO. In adjusted analysis, only individuals with SO, defined as the presence of high adiposity-low muscle mass (four-phenotype model), had significantly shorter telomeres (p = 0.05) than the reference group (i.e. low adiposity-high muscle mass), with a mean T/S ratio of 1.02 (95%CI: 0.98-1.05) compared to 1.05 (95%CI: 1.01-1.09), respectively. TrFM/ASM was not associated with TL. Preliminary findings suggest that sarcopenia and obesity may act synergistically to shorten telomeres.
Keyphrases
- insulin resistance
- dual energy
- weight gain
- body composition
- skeletal muscle
- metabolic syndrome
- adipose tissue
- high fat diet induced
- weight loss
- type diabetes
- computed tomography
- bone mineral density
- resistance training
- high resolution
- squamous cell carcinoma
- magnetic resonance
- machine learning
- community dwelling
- deep learning
- postmenopausal women
- fatty acid
- big data
- high intensity
- contrast enhanced