Skeletal Muscle Ratio: A Complete Mediator of Physical Activity and HbA1C in Type 2 Diabetes

2020 ◽  
Vol 22 (4) ◽  
pp. 536-543
Author(s):  
Sen-Te Wang ◽  
Yen-Kuang Lin ◽  
Shuen-Fu Weng ◽  
Chen-Ling Huang ◽  
Hui-Chuan Huang ◽  
...  

Background: An increase in the physical activity level reduces body weight, decreases body fat, increases skeletal muscle mass, and improves serum glucose; however, the influence of body composition parameters on the relationship between physical activity and serum glucose remains unclear. Objective: This study investigated whether skeletal muscle and visceral fat affect the relationship between high physical activity and long-term serum glucose goals. Method: This cross-sectional study recruited patients with type 2 diabetes. The Chinese version of the International Physical Activity Questionnaire was used for estimating the physical activity level, and a bioimpedance device was used to measure the skeletal muscle ratio (skeletal muscle mass/total body weight, %) and visceral fat area (cm2). Hierarchical logistic regression models and mediation tests were conducted according to Hayes’ procedures. Results: Of the total 543 Chinese individuals with type 2 diabetes enrolled, HbA1C levels of fewer than half (n = 243, 44.8%) met the target of ≤7.0%. The skeletal muscle ratio was found to be a complete mediator (OR = 0.920, 95% CI: 0.848 to 0.998; indirect effect: −0.238, 95% CI: −0.525 to −0.020) of the relationship between high physical activity and the target HbA1C level after controlling for visceral fat area (indirect effect: −0.013, 95% CI: −0.183 to 0.156), age, time since diabetes diagnosis, and rice intake. Conclusion: Nurses should include an increase in the skeletal muscle ratio as an objective in physical activity interventions for patients with type 2 diabetes to help them achieve their long-term serum glucose goals.

Diabetes ◽  
2019 ◽  
Vol 68 (Supplement 1) ◽  
pp. 2114-P
Author(s):  
TAKUYA MINAMIZUKA ◽  
YUKARI MAEDA ◽  
MASAYA KOSHIZAKA ◽  
TAKAHIRO ISHIKAWA ◽  
YOSHIRO MAEZAWA ◽  
...  

2019 ◽  
Vol 43 (7) ◽  
pp. S22
Author(s):  
Jane E. Booth ◽  
Jamie L. Benham ◽  
Laura E. Schinbein ◽  
Samantha K. Mcginley ◽  
Doreen M. Rabi ◽  
...  

Background and Aims: SNARE proteins are composed of a combination of SNAP-23, Stx-4, and VAMP-2 isoforms that are significantly expressed in skeletal muscle. These proteins control the transport of GLUT4 to the cell membranes. The modifications in the expression of SNARE proteins can cause Type 2 diabetes. The present study aimed to assess the effect of metformin on the expression of these proteins in rats. Materials and Methods: For the purpose of the study, 40 male Wistar rats were randomly selected. Streptozotocin and Nicotinamide were used for the induction of type 2 diabetes. The animals were assigned to five groups (n=8), including healthy and diabetic groups as control, as well as three experimental groups which were treated with different doses of metformin (100, 150, and 200 mg/kg body weight) for 30 days. The quantitative reverse transcription PCR (RT-qPCR) method was applied to evaluate the expression of SNARE complex proteins.. Results: Based on the results, metformin (100, 150, and 200 mg/kg body weight) decreased serum glucose levels and increased serum insulin levels. This difference in dose of 200 mg/kg body weight was statistically significant (P<0.05). Moreover, all three doses of metformin increased the expression of SNAP- 23, syntaxin-4, and VAMP-2 proteins in skeletal muscle tissue. Metformin at a dose of 200 mg/kg body weight demonstrated the most significant effects (P<0.05). Conclusion: As evidenced by the results of the current study, another anti-diabetic mechanism of metformin is to increase the expression of SNARE proteins, which effectively improves insulin resistance and lowers blood glucose.


2020 ◽  
Vol 15 (1) ◽  
pp. 389-398
Author(s):  
Reum Jung Ah ◽  
Ae Kim Shin ◽  
Tae Kim Kun ◽  
Taek Lee Dae ◽  
Kun Ho Yoon ◽  
...  

2020 ◽  
Vol 76 (1) ◽  
pp. 62-72
Author(s):  
Yuki Nishida ◽  
Shigeho Tanaka ◽  
Satoshi Nakae ◽  
Yosuke Yamada ◽  
Katsutaro Morino ◽  
...  

Introduction: Evaluation of total energy expenditure (TEE) and physical activity level (PAL) is important for treatment of patients with type 2 diabetes mellitus (T2DM). However, the validity of accelerometers (ACC) and physical activity questionnaires (PAQ) for estimating TEE and PAL remains unknown in elderly populations with T2DM. We evaluated the accuracy of TEE and PAL results estimated by an ACC (TEEACC and PALACC) and a PAQ (TEEPAQ and PALPAQ) in elderly patients with T2DM. Methods: Fifty-one elderly patients with T2DM (aged 61–79 years) participated in this study. TEEACC was calculated with PALACC using a triaxial ACC (Active style Pro HJA-750c) over 2 weeks and predicted basal metabolic rate (BMR) by Ganpule’s equation. TEEPAQ was estimated using predicted BMR and the PALPAQ from the ­Japan Public Health Center Study-Long questionnaire. We compared the results to TEEDLW measured with the doubly labeled water (DLW) method and PALDLW calculated with BMR using indirect calorimetry. Results: TEEDLW was 2,165 ± 365 kcal/day, and TEEACC was 2,014 ± 339 kcal/day; TEEACC was strongly correlated with TEEDLW (r = 0.87, p < 0.01) but significantly underestimated (–150 ± 183 kcal/day, p < 0.05). There was no significant difference in TEEPAQ and TEEDLW (–49 ± 284 kcal/day), while the range of difference seemed to be larger than TEEACC. PALDLW, PALACC, and PALPAQ were calculated to be 1.71 ± 0.17, 1.69 ± 0.16, and 1.78 ± 0.24, respectively. ­PALACC was strongly correlated with PALDLW (r = 0.71, p < 0.01), and there was no significant difference between the 2 values. PALPAQ was moderately correlated with PALDLW (r = 0.43, p < 0.01) but significantly overestimated. Predicted BMR was significantly lower than the BMR ­measured by indirect calorimetry (1,193 ± 186 vs. 1,262 ± 155 kcal/day, p < 0.01). Conclusions: The present ACC and questionnaire showed acceptable correlation of TEE and PAL compared with DLW method in elderly patients with T2DM. Systematic errors in estimating TEE may be improved by the better equation for predicting BMR.


2012 ◽  
Vol 97 (9) ◽  
pp. 3261-3269 ◽  
Author(s):  
F. H. J. van Tienen ◽  
S. F. E. Praet ◽  
H. M. de Feyter ◽  
N. M. van den Broek ◽  
P. J. Lindsey ◽  
...  

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