Nallagangula Krishna Sumanth, Nagaraj Shashidhar Kurpad, Venkataswamy Lakshmaiah, Chandrappa Muninarayana
Department of Biochemistry, Sri Devaraj Urs Medical College, SDUAHER, Tamaka, Kolar, Karnataka, India.
Department of Medicine, Sri Devaraj Urs MedicalCollege, SDUAHER, Tamaka, Kolar, Karnataka, India.
Future Sci OA. 2017 Oct 5;4(1):FSO250. doi: 10.4155/fsoa-2017-0083. eCollection 2018 Jan.
Liver fibrosis occurs in response to different etiologies of chronic liver injury. Diagnosing degree of liver fibrosis is a crucial step in evaluation of severity of the disease. An invasive liver biopsy is the gold standard method associated with pain and complications. Biomarkers to detect liver fibrosis include direct markers of extracellular matrix turnover and indirect markers as a reflection of liver dysfunction. Although a single marker may not be useful for successful management, a mathematical equation combining tests might be effective. The main purpose of this review is to understand the diagnostic accuracy of biomarkers and scoring systems for liver fibrosis. Advances in -omics approach have generated clinically significant biomarker candidates for liver fibrosis that need further evaluation.
肝纤维化是对不同病因的慢性肝损伤作出的反应。诊断肝纤维化程度是评估疾病严重程度的关键步骤。侵入性肝活检是与疼痛和并发症相关的金标准方法。检测肝纤维化的生物标志物包括细胞外基质周转的直接标志物和反映肝功能障碍的间接标志物。尽管单一标志物可能无助于成功治疗,但将多种检测结合的数学公式可能有效。本综述的主要目的是了解肝纤维化生物标志物和评分系统的诊断准确性。-组学方法的进展产生了具有临床意义的肝纤维化生物标志物候选物,这些候选物需要进一步评估。