Loss of skeletal muscle mass can be predicted by sarcopenia and reflects poor functional recovery at one year after surgery for geriatric hip fractures

Besides massive body weight loss, laparoscopic sleeve gastrectomy (LSG) causes massive lean mass, including fat-free mass (FFM) and skeletal muscle mass (SM) that present higher metabolic rates in males. This study examines sex differences in FFM and SM changes of type 2 diabetes (T2D) remission at 12 months post-LSG. This cohort study recruited 119 patients (53.7% females) with T2D and obesity (body mass index 42.2 ± 7.0 kg/m2) who underwent LSG. Fat-mass (FM) loss was higher in males than in females (−12.8 ± 6.2% vs. −9.9 ± 5.0%, p = 0.02) after one-year post-operation. Regardless of the weight-loss difference, males had higher FFM and SM gain than did females (12.8 ± 8.0 vs. 9.9 ± 5.0% p = 0.02 and 6.5 ± 4.3% vs. 4.9 ± 6.2%, p = 0.03, respectively). Positive correlations of triglyceride reduction with FM loss (r = 0.47, p = 0.01) and SM gain (r = 0.44, p = 0.02) over 12 months post-operation were observed in males who achieved T2D remission. The T2D remission rate significantly increased 16% and 26% for each additional percentage of FFM and SM gain one year after LSG, which only happened in males. Increased FFM and SM were remarkably associated with T2D remission in males, but evidence lacks for females.

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The Changes Of One-year Detraining On Anaerobic Power, Total And Regional Skeletal Muscle Mass In Young Male

Medicine & Science in Sports & Exercise ◽

10.1249/01.mss.0000322632.16205.2b ◽

2008 ◽

Vol 40 (Supplement) ◽

pp. S382

Author(s):

Noriyuki Yamamoto ◽

Hitoshi Yanagi ◽

Tadashi Wada ◽

Kouji Sakurama ◽

...

Keyword(s):

Skeletal Muscle ◽

Muscle Mass ◽

Skeletal Muscle Mass ◽

Anaerobic Power ◽

Young Male ◽

One Year

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Maximal Oxygen Uptake Adjusted for Skeletal Muscle Mass in Competitive Speed-Power and Endurance Male Athletes: Changes in a One-Year Training Cycle

International Journal of Environmental Research and Public Health ◽

10.3390/ijerph17176226 ◽

2020 ◽

Vol 17 (17) ◽

pp. 6226

Author(s):

Jacek Trinschek ◽

Jacek Zieliński ◽

Krzysztof Kusy

Keyword(s):

Skeletal Muscle ◽

Oxygen Uptake ◽

Muscle Mass ◽

Skeletal Muscle Mass ◽

Endurance Athletes ◽

Longitudinal Change ◽

Male Athletes ◽

Training Cycle ◽

Competitive Athletes ◽

One Year

We compared the changes in maximum oxygen uptake (V·O2max) calculated per skeletal muscle mass (SMM) with conventional V·O2max measures in a 1-year training cycle. We hypothesized that the pattern of changes would differ between SMM-adjusted and absolute or weight-adjusted values, and the differences between groups of distinct training specialization and status will depend on the measure used. Twelve sprinters (24.7 ± 3.3 years), 10 endurance runners (25.3 ± 5.3 years), and 10 recreationally trained controls (29 ± 4.5 years) performed a treadmill test until exhaustion to determine V·O2max. Their SMM was estimated based on the dual X-ray absorptiometry method and a regression equation. The significance of differences was assessed using analysis of variance (p ≤ 0.05). The pattern of the longitudinal change was not different between V·O2max/SMM and standard measures. Also, the significance of differences between sprinters and endurance athletes remained similar regardless of the V·O2max measure. Sprinters and controls had similar absolute (~4.3 L·min−1) and total weight-adjusted (~52 vs. ~56 mL·min−1·kg) V·O2max, but they significantly differed in SMM-adjusted V·O2max (~110 vs. ~130 mL·min−1·kg SMM−1). In summary, SMM-adjusted V·O2max is not more useful than standard measures to track longitudinal changes in competitive athletes. However, it allows to better distinguish between groups or individuals differing in training status. The results of our study are limited to male athletes.

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Clinical Implications of Prestransplant Skeletal Muscle Mass, Strength, and Exercise Capacity on Functional Recovery in Lung Transplant Recipients After 7 or More Days of Mechanical Ventilation

CHEST Journal ◽

10.1016/j.chest.2017.08.1141 ◽

2017 ◽

Vol 152 (4) ◽

pp. A1106

Author(s):

Dmitry Rozenberg ◽

Sunita Mathur ◽

George Tomlinson ◽

Roger Goldstein ◽

Priscila Robles ◽

...

Keyword(s):

Skeletal Muscle ◽

Mechanical Ventilation ◽

Exercise Capacity ◽

Muscle Mass ◽

Functional Recovery ◽

Lung Transplant ◽

Skeletal Muscle Mass ◽

Clinical Implications ◽

Transplant Recipients ◽

Lung Transplant Recipients

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The Genetic Effect on Muscular Changes in an Older Population: A Follow-Up Study after One-Year Cessation of Structured Training

Genes ◽

10.3390/genes11090968 ◽

2020 ◽

Vol 11 (9) ◽

pp. 968

Author(s):

Lingxiao He ◽

Evelien Van Roie ◽

An Bogaerts ◽

Sabine Verschueren ◽

Christophe Delecluse ◽

...

Keyword(s):

Older Adults ◽

Skeletal Muscle ◽

Muscle Mass ◽

Skeletal Muscle Mass ◽

Genetic Effect ◽

Data Driven ◽

Whole Body ◽

Nucleotide Polymorphisms ◽

Older Population ◽

One Year

Older adults lose muscle mass and strength at different speeds after the cessation of physical exercise, which might be genotype related. This study aimed to explore the genetic association with changes in muscle mass and strength one year after the cessation of structured training in an older population. Participants (n = 113, aged between 61 and 81 years) who performed one-year of combined fitness (n = 44) or whole-body vibration (n = 69) training were assessed one year after the cessation of the training. Whole-body skeletal muscle mass and knee strength were measured. Data-driven genetic predisposition scores (GPSs) were calculated and analysed in a general linear model with sex, age, body mass index and post-training values of skeletal muscle mass or muscle strength as covariates. Forty-six single nucleotide polymorphisms (SNPs) from an initial 170 muscle-related SNPs were identified as being significantly linked to muscular changes after cessation. Data-driven GPSs and over time muscular changes were significantly related (p < 0.01). Participants with higher GPSs had less muscular declines during the cessation period while data-driven GPSs accounted for 26–37% of the phenotypic variances. Our findings indicate that the loss of training benefits in older adults is partially genotype related.

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