Sterol metabolism and protein metabolism are differentially correlated with sarcopenia in Asian Chinese men and women

• Published in: Cell proliferation Vol. 54; no. 4; pp. e12989 - n/a
• Main Authors: Li, Chun‐Wei, Yu, Kang, Shyh‐Chang, Ng, Li, Guo‐Xun, Yu, Song‐Lin, Liu, Hui‐Jun, Yang, Bo, Li, Zi‐Yao, Zhao, Yong‐Jie, Xu, Long‐Yu, Xu, Jing, Jiang, Ling‐Juan, Liu, Rong‐Ji, Zhang, Xin‐Yuan, Li, Shao‐Fei, Zhang, Xiao‐Wei, Xie, Hai‐Yan, Li, Kang, Zhan, Yi‐Xiang, Cui, Min, Tao, Hang‐Bo, Li, Yao, Liu, Gao‐Shan, Ni, Ke‐Min, Li, Dong‐Jing
• Format: Journal Article
• Language: English
• Published: England John Wiley & Sons, Inc 01-04-2021; John Wiley and Sons Inc
• Subjects: 25-Hydroxyvitamin D; Age; Aged; Aged, 80 and over; Appetite loss; Area Under Curve; Automation; BMI; Body mass index; Calcifediol - metabolism; China - epidemiology; Cross-sectional studies; Data collection; Demographics; Exercise; Female; Gait; Grip strength; hand grip strength; Humans; Lifestyles; Logistic Models; Longitudinal Studies; Low protein diet; Male; Men; Metabolism; Middle Aged; Muscle strength; Muscles; Musculoskeletal system; Nutrient deficiency; Nutrition; Original; Physical activity; predictive model; Prospective Studies; Protein metabolism; Protein turnover; Proteins; Proteins - metabolism; Questionnaires; Regression analysis; Risk analysis; Risk Factors; ROC Curve; Sarcopenia; Sarcopenia - epidemiology; Sarcopenia - pathology; Sex Factors; Sterols; Sterols - metabolism; Testosterone; Testosterone - analysis; vitamin D; Women; Working groups; China; predictive model; testosterone; hand grip strength; vitamin D; BMI; sarcopenia
• ISSN: 0960-7722; 1365-2184
• DOI: 10.1111/cpr.12989

Objectives
Our aim was to investigate the prevalence and predictive variables of sarcopenia.
Methods
We recruited participants from the Peking Union Medical College Hospital Multicenter Prospective Longitudinal Sarcopenia Study (PPLSS). Muscle mass was quantified using bioimpedance, and muscle function was quantified using grip strength and gait speed. Logistic regression revealed the relationships between sarcopenia and nutritional, lifestyle, disease, psychosocial and physical variables.
Results
The prevalence of sarcopenia and sarcopenic obesity was 9.2%‐16.2% and 0.26%‐9.1%, respectively. Old age, single status, undernourishment, higher income, smoking, low physical activity, poor appetite and low protein diets were significantly associated with sarcopenia. Multiple logistic regression analysis showed that age was a risk factor for all stages of sarcopenia, and participants above 80 years were greater than fivefold more susceptible to sarcopenia, while lower physical activity was an independent risk factor. The optimal cut‐off value for age was 71 years, which departs from the commonly accepted cut‐off of 60 years. Female participants were greater than twofold less susceptible to sarcopenia than male participants. The sterol derivative 25‐hydroxyvitamin D was associated with fourfold lower odds of sarcopenia in male participants. Several protein intake variables were also correlated with sarcopenia. Based on these parameters, we defined a highly predictive index for sarcopenia.
Conclusions
Our findings support a predictive index of sarcopenia, which agglomerates the complex influences that sterol metabolism and nutrition exert on male vs female participants.
Dysregulated circadian clock genes were associated with glioma grades and the IDH status. Prognostic model suggests circadian clock genes affect glioma progression. The GO and GSEA enrichment analysis suggested dysregulated circadian clock genes can affect glioma through interfering cell cycle and influencing immunocytes infiltration.