scholarly journals Relative skeletal muscle mass and non-alcoholic fatty liver disease: from association to causation

2019 ◽  
Vol 8 (5) ◽  
pp. 509-511 ◽  
Author(s):  
Hee Yeon Kim ◽  
Jong Young Choi ◽  
Yong-Moon Park
Biology ◽  
2021 ◽  
Vol 10 (2) ◽  
pp. 122
Author(s):  
Jun-Hyuk Lee ◽  
Hye-Sun Lee ◽  
Byoung-Kwon Lee ◽  
Yu-Jin Kwon ◽  
Ji-Won Lee

Although sarcopenia is known to be a risk factor for non-alcoholic fatty liver disease (NAFLD), whether NAFLD is a risk factor for the development of sarcopenia is not clear. We investigated relationships between NAFLD and low skeletal muscle mass index (LSMI) using three different datasets. Participants were classified into LSMI and normal groups. LSMI was defined as a body mass index (BMI)-adjusted appendicular skeletal muscle mass <0.789 in men and <0.512 in women or as the sex-specific lowest quintile of BMI-adjusted total skeletal muscle mass. NAFLD was determined according to NAFLD liver fat score or abdominal ultrasonography. The NAFLD groups showed a higher hazard ratios (HRs) with 95% confidence intervals (CIs) for LSMI than the normal groups (HRs = 1.21, 95% CIs = 1.05–1.40). The LSMI groups also showed a higher HRs with 95% CIs for NAFLD than normal groups (HRs = 1.56, 95% CIs = 1.38–1.78). Participants with NAFLD had consistently less skeletal muscle mass over 12 years of follow-up. In conclusion, LSMI and NAFLD showed a relationship. Maintaining muscle mass should be emphasized in the management of NAFLD.


2018 ◽  
Vol 154 (6) ◽  
pp. S-1176
Author(s):  
Devika Kapuria ◽  
Firas Ghomraoui ◽  
Phil Brown ◽  
Gil S. Ben-Yakov ◽  
David Kleiner ◽  
...  

2020 ◽  
Vol 9 (10) ◽  
pp. 3355
Author(s):  
Yoowon Kwon ◽  
Su Jin Jeong

Recently, sarcopenia was identified as a risk factor for non-alcoholic fatty liver disease (NAFLD) in adults. We here investigated the association between skeletal muscle mass (SMM) and NAFLD in non-obese children and adolescents. A retrospective medical chart review was performed for individuals aged 9–15 years diagnosed with NAFLD. Healthy volunteers aged 9–15 years were recruited as controls. Participants were subject to laboratory tests, abdominal sonography, and multi-frequency bioelectrical impedance analysis. SMM data were calculated as the skeletal muscle-to-body fat ratio (MFR), and the diagnosis of fatty liver was established by abdominal sonography. The control and NAFLD groups included 73 and 53 individuals, respectively. No significant difference was observed in gender and body mass index (BMI) distribution between the groups. Mean MFR was significantly lower in individuals with NAFLD than in those without (0.83 vs. 1.04, p = 0.005). After adjusting for age, sex, BMI, and serum glucose, the risk of having NAFLD was significantly associated with a decreased MFR (p = 0.016). NAFLD is significantly associated with relatively low SMM in non-obese children and adolescents. Increasing SMM, such as weight training, can be suggested as one of the treatment strategies in pediatric NAFLD without obesity.


Life ◽  
2020 ◽  
Vol 10 (10) ◽  
pp. 218
Author(s):  
Huiyul Park ◽  
Dae Won Jun ◽  
Hoon-ki Park ◽  
Kye-Yeung Park ◽  
Minki Kim ◽  
...  

Traditionally, sarcopenia has defined as amount of absolute muscle mass adjusted by height in the elderly people. However, relative muscle mass adjusted by weight has been used extensively in most non-alcoholic fatty liver disease (NAFLD) studies. Here, we attempted to investigate the pitfall of adjusted muscle mass by weight to evaluate association between sarcopenia and NAFLD. Adult subjects (n = 1343) who underwent a health check-up were finally included for analysis. The weight-adjusted skeletal muscle mass index (wSMI) and height-adjusted SMI (hSMI) calculated by dividing the total appendicular skeletal muscle (ASM) by weight or the square of height, respectively. Prevalence of sarcopenia defined by wSMI in the NAFLD group was significantly higher than in the control group (1.3% vs. 8.8%, p < 0.001). However, there was no difference in the prevalence of sarcopenia defined by hSMI between the control and NAFLD groups (2.0% vs. 0.8%, p = 0.055). Since body weight was the most potent independent risk factor for NAFLD in multivariable logistic regression analysis, abnormal rates (<−1 SD) of almost all parameters increased in the NAFLD population, after weight adjustment. However, abnormal rates of non-metabolic parameter did not increase in NAFLD, after height adjustment. Only metabolic parameters showed relationship with NAFLD, after height adjustment. As NAFLD is highly associated with body weight, careful attention should be given in the case of studying the relationship of NAFLD with sarcopenia adjusted by body weight.


2021 ◽  
Author(s):  
Lingyan Chen ◽  
Mingfeng Xia ◽  
Li Wu ◽  
Qian Li ◽  
Yu Hu ◽  
...  

Abstract Background Previous studies have presented skeletal muscle loss was associated with diabetes mellitus (DM) and non-alcoholic fatty liver disease (NAFLD). However, whether the presence of NAFLD could influence the association between skeletal muscle mass and DM was still unknown. The aim of the present study was to investigate the relationship of skeletal muscle mass with diabetes in Chinese middle-aged and older community population, and whether the association could be effected by NAFLD. Methods A cross-sectional study of 5,626 residents aged 45 and above in Changfeng community in Shanghai were conducted. Skeletal muscle mass (SMM) was detected by dual-energy X ray absorption (DXA) and calculated as ASM% [appendicular skeletal muscle mass (ASM) (kg) /body weight*100%]. Liver fat content (LFC) was measured using a quantitative ultrasound method. Multivariate logistic regression analyses were conducted to investigate the association between ASM% quartiles with DM. Results With ASM% decreasing, fasting blood glucose (FBG), 2-hour postprandial blood glucose (2hBG) and Homeostasis model assessment for insulin resistance (HOMA-IR) as well as LFC increased in both genders, and the prevalence of diabetes and NAFLD also increased. Spearman analysis showed ASM% was negatively correlated with FBG, 2hBG and LFC. Stepwise logistic regression analysis showed after multiple adjustments, ASM% quartile was negatively associated with the risk of diabetes only in male, but not in female. Subgroup analysis found the ASM% quartiles remained negatively correlated with the risk of diabetes in male non-NAFLD population, but not in NAFLD population. When stratified by LFC quartiles, the results was similar. After multivariate adjustments, low ASM% was negatively correlated with the risk of diabetes only in the first and second LFC quartile in male, and the association remained insignificant in each LFC quartile in female. Conclusions Skeletal muscle mass was negatively associated with the risk of diabetes in male population but not in female. The presence of NAFLD weakened this association. The results suggested stratified management of diabetes should be considered according to skeletal muscle mass and the presence of NAFLD.


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