Department of Nutrition, Food Sciences and Physiology and Centre for Nutrition Research, Faculty of Pharmacy and Nutrition, University of Navarra, 31008 Pamplona, Spain.
Navarra Institute for Health Research (IdiSNA), 31008 Pamplona, Spain.
Nutrients. 2024 May 21;16(11):1547. doi: 10.3390/nu16111547.
Metabolic dysfunction-associated steatotic liver disease (MASLD), with a prevalence of 30% of adults globally, is considered a multifactorial disease. There is a lack of effective non-invasive methods for accurate diagnosis and monitoring. Therefore, this study aimed to explore associations between changes in circulating miRNA levels, inflammatory markers, and depressive symptoms with hepatic variables in MASLD subjects and their combined potential to predict the disease after following a dietary intervention. Biochemical markers, body composition, circulating miRNAs and hepatic and psychological status of 55 subjects with MASLD with obesity and overweight from the FLiO study were evaluated by undergoing a 6-, 12- and 24-month nutritional intervention. The highest accuracy values of combined panels to predict the disease were identified after 24 months. A combination panel that included changes in liver stiffness, high-density lipoprotein cholesterol (HDL-c), body mass index (BMI), depressive symptoms, and triglycerides (TG) yielded an AUC of 0.90. Another panel that included changes in hepatic fat content, total cholesterol (TC), miR15b-3p, TG, and depressive symptoms revealed an AUC of 0.89. These findings identify non-invasive biomarker panels including circulating miRNAs, inflammatory markers, depressive symptoms and other metabolic variables for predicting MASLD presence and emphasize the importance of precision nutrition in MASLD management and the sustained adherence to healthy lifestyle patterns.
代谢相关脂肪性肝病(MASLD)的流行率在全球成年人中为 30%,被认为是一种多因素疾病。目前缺乏准确诊断和监测的有效非侵入性方法。因此,本研究旨在探讨 MASLD 患者循环 miRNA 水平、炎症标志物和抑郁症状与肝变量的变化之间的关联,以及它们在进行饮食干预后的联合预测疾病的潜力。通过对肥胖和超重的 55 名 MASLD 患者进行为期 6、12 和 24 个月的营养干预,评估了来自 FLiO 研究的生物化学标志物、身体成分、循环 miRNA 以及肝和心理状况。在 24 个月后,确定了联合检测对疾病预测的最高准确性值。包括肝硬度、高密度脂蛋白胆固醇(HDL-c)、体重指数(BMI)、抑郁症状和甘油三酯(TG)变化的组合面板的 AUC 值为 0.90。另一个包含肝脂肪含量、总胆固醇(TC)、miR15b-3p、TG 和抑郁症状变化的面板的 AUC 值为 0.89。这些发现确定了包括循环 miRNA、炎症标志物、抑郁症状和其他代谢变量在内的非侵入性生物标志物面板,用于预测 MASLD 的存在,并强调了精准营养在 MASLD 管理中的重要性以及对健康生活方式的持续坚持。