Verrelli Nicola, Bonfiglio Caterina, Franco Isabella, Bagnato Claudia Beatrice, Stabile Dolores, Shahini Endrit, Bianco Antonella
Laboratory of Movement and Wellness, National Institute of Gastroenterology IRCCS "Saverio de Bellis", 70013 Castellana Grotte, Italy.
Data Science, National Institute of Gastroenterology IRCCS "Saverio de Bellis", 70013 Castellana Grotte, Italy.
J Clin Med. 2025 May 29;14(11):3821. doi: 10.3390/jcm14113821.
Metabolic dysfunction-associated steatotic liver disease (MASLD) is linked to metabolic syndrome, type 2 diabetes, and obesity. This study investigates the relationship between physical capacity, assessed by the Global Physical Capacity Score (GPCS), and MASLD-related parameters, including hepatic steatosis (CAP score), insulin resistance (HOMA-IR), and body mass index (BMI). A cross-sectional analysis was performed on 204 individuals with MASLD (mean age: 50 years; 57.6% males). Participants underwent physical tests to determine their GPCS. Hepatic steatosis was assessed using FibroScan® (Echosens, Paris, France), and metabolic markers were collected from fasting blood samples. Statistical analyses included linear and logistic regression models adjusted for potential confounders. A higher GPCS was inversely associated with CAP (β = -5.30; < 0.05), HOMA-IR (β = -0.28; < 0.001), and BMI (β = -0.96; < 0.001). Logistic regression analysis confirmed a lower risk of severe hepatic steatosis (OR = 0.44; < 0.05), obesity (OR = 0.39; < 0.05), and insulin resistance (OR = 0.32; < 0.001) in individuals with higher GPCS values. The GPCS may indicate MASLD severity and reflect metabolic and hepatic health. Our findings support the promotion of physical activity and suggest a potential role for GPCS in risk stratification and personalized interventions for patients with MASLD.
代谢功能障碍相关脂肪性肝病（MASLD）与代谢综合征、2型糖尿病和肥胖症有关。本研究调查了通过全球身体能力评分（GPCS）评估的身体能力与MASLD相关参数之间的关系，这些参数包括肝脂肪变性（CAP评分）、胰岛素抵抗（HOMA-IR）和体重指数（BMI）。对204例MASLD患者（平均年龄：50岁；男性占57.6%）进行了横断面分析。参与者接受身体测试以确定其GPCS。使用FibroScan®（法国巴黎Echosens公司）评估肝脂肪变性，并从空腹血样中收集代谢标志物。统计分析包括针对潜在混杂因素进行调整的线性和逻辑回归模型。较高的GPCS与CAP（β = -5.30；P < 0.05）、HOMA-IR（β = -0.28；P < 0.001）和BMI（β = -0.96；P < 0.001）呈负相关。逻辑回归分析证实，GPCS值较高的个体发生严重肝脂肪变性（OR = 0.44；P < 0.05）、肥胖（OR = 0.39；P < 0.05）和胰岛素抵抗（OR = 0.32；P < 0.001）的风险较低。GPCS可能表明MASLD的严重程度，并反映代谢和肝脏健康状况。我们的研究结果支持促进身体活动，并表明GPCS在MASLD患者的风险分层和个性化干预中可能发挥作用。
