NAFLD Research Center, Division of Gastroenterology and Epidemiology, University of California at San Diego, La Jolla, California, USA
Medicine and Pharmacology, The University of Western Australia, Nedlands, Western Australia, Australia.
Gut. 2020 Jul;69(7):1343-1352. doi: 10.1136/gutjnl-2018-317593. Epub 2020 Feb 17.
Liver fibrosis should be assessed in all individuals with chronic liver disease as it predicts the risk of future liver-related morbidity and thus need for treatment, monitoring and surveillance. Non-invasive fibrosis tests (NITs) overcome many limitations of liver biopsy and are now routinely incorporated into specialist clinical practice. Simple serum-based tests (eg, Fibrosis Score 4, non-alcoholic fatty liver disease Fibrosis Score) consist of readily available biochemical surrogates and clinical risk factors for liver fibrosis (eg, age and sex). These have been extensively validated across a spectrum of chronic liver diseases, however, tend to be less accurate than more 'complex' serum tests, which incorporate direct measures of fibrogenesis or fibrolysis (eg, hyaluronic acid, N-terminal propeptide of type three collagen). Elastography methods quantify liver stiffness as a marker of fibrosis and are more accurate than simple serum NITs, however, suffer increasing rates of unreliability with increasing obesity. MR elastography appears more accurate than sonographic elastography and is not significantly impacted by obesity but is costly with limited availability. NITs are valuable for excluding advanced fibrosis or cirrhosis, however, are not sufficiently predictive when used in isolation. Combining serum and elastography techniques increases diagnostic accuracy and can be used as screening and confirmatory tests, respectively. Unfortunately, NITs have not yet been demonstrated to accurately reflect fibrosis change in response to treatment, limiting their role in disease monitoring. However, recent studies have demonstrated lipidomic, proteomic and gut microbiome profiles as well as microRNA signatures to be promising techniques for fibrosis assessment in the future.
在所有慢性肝病患者中都应评估肝纤维化,因为它可预测未来肝脏相关发病率的风险,从而需要治疗、监测和随访。非侵入性纤维化检测(NITs)克服了肝活检的许多局限性,现在已常规纳入专科临床实践。简单的基于血清的检测(例如,纤维化评分 4、非酒精性脂肪性肝病纤维化评分)由易于获得的生化替代物和肝纤维化的临床危险因素(例如年龄和性别)组成。这些在一系列慢性肝病中已得到广泛验证,但是,它们的准确性往往低于更“复杂”的血清检测,后者包含直接测量纤维化或纤维溶解(例如,透明质酸、III 型胶原 N 端前肽)。弹性成像方法定量肝硬度作为纤维化的标志物,比简单的血清 NIT 更准确,但是,随着肥胖程度的增加,其可靠性的增加速度也会增加。磁共振弹性成像比超声弹性成像更准确,并且不受肥胖的显著影响,但成本较高,可用性有限。NITs 可用于排除晚期纤维化或肝硬化,但是单独使用时预测性不足。联合血清和弹性成像技术可提高诊断准确性,可分别用作筛查和确认检测。不幸的是,NITs 尚未被证明可准确反映治疗后纤维化的变化,限制了它们在疾病监测中的作用。然而,最近的研究表明,脂质组学、蛋白质组学和肠道微生物组谱以及 microRNA 特征是未来纤维化评估的有前途的技术。