Zampieri Serena, Petrella Greta, Nagni Elisa, Micheli Laura, Maiorca Francesca, Lombardi Ludovica, Carbone Marilena, Sabetta Annamaria, Miglionico Marzia, Pecani Marin, Raparelli Valeria, Basili Stefania, Stefanini Lucia, Cicero Daniel Oscar
Department of Chemical Science and Technology, University of Rome "Tor Vergata", 00133, Rome, Italy.
Department of Translational and Precision Medicine, Sapienza University of Rome, 00185, Rome, Italy.
Sci Rep. 2025 Sep 2;15(1):32328. doi: 10.1038/s41598-025-18172-x.
The burden of metabolic dysfunction-associated steatotic liver disease (MASLD) is of immediate concern, as its prevalence is increasing worldwide. MASLD often progresses to liver fibrosis, posing significant health risks. Age-independent, noninvasive tools to evaluate fibrosis are needed to improve diagnostic accuracy across all age groups. Eighty-four inflammatory, hematological, and metabolic variables were quantified in the blood of 63 individuals with MASLD, with varying degrees of fibrosis, and 22 age-matched controls. Linear regression models were used to identify markers strongly correlated with liver fibrosis that were not influenced by age. Logistic regression models were used to evaluate the ability of various indices to discriminate between no/mild and severe liver fibrosis. Glutamine and propionate levels were identified as strongly correlated with fibrosis but not with age and were combined to form the GP index. The GP index demonstrated superior predictive power for liver fibrosis compared to existing scores, like FIB-4 and FIB-3. The study introduces the GP index, a novel metabolite-based score for diagnosing and monitoring liver fibrosis in patients with MASLD, which demonstrated robust performance irrespective of patient age in this cohort. By excluding age-dependent markers, the GP index can potentially reduce false positives and improve diagnostic accuracy, particularly in older populations. The combination of glutamine and propionate in this index represents a novel approach, capturing both intrinsic hepatic metabolic changes and extrinsic influences from the gut microbiota, providing a simple yet effective solution for liver fibrosis staging.
代谢功能障碍相关脂肪性肝病(MASLD)的负担令人担忧,因为其在全球范围内的患病率正在上升。MASLD常进展为肝纤维化,带来重大健康风险。需要年龄无关的非侵入性工具来评估纤维化,以提高所有年龄组的诊断准确性。对63例不同纤维化程度的MASLD患者和22例年龄匹配的对照者的血液中的84种炎症、血液学和代谢变量进行了定量分析。使用线性回归模型来识别与肝纤维化高度相关且不受年龄影响的标志物。使用逻辑回归模型来评估各种指标区分无/轻度和重度肝纤维化的能力。谷氨酰胺和丙酸水平被确定与纤维化高度相关,但与年龄无关,并将它们结合起来形成GP指数。与FIB-4和FIB-3等现有评分相比,GP指数对肝纤维化具有更高的预测能力。该研究引入了GP指数,这是一种用于诊断和监测MASLD患者肝纤维化的基于代谢物的新评分,在该队列中,无论患者年龄如何,其表现都很稳健。通过排除与年龄相关的标志物,GP指数可能会减少假阳性并提高诊断准确性,尤其是在老年人群中。该指数中谷氨酰胺和丙酸的组合代表了一种新方法,既捕捉了肝脏内在的代谢变化,又捕捉了来自肠道微生物群的外在影响,为肝纤维化分期提供了一种简单而有效的解决方案。