Liver fibrosis: a compilation on the biomarkers status and their significance during disease progression.

Liver fibrosis: a compilation on the biomarkers status and their significance during disease progression.
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DOI:
10.4155/fsoa-2017-0083
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发表时间:
2018-01
期刊:
影响因子:
2.5
通讯作者:
Chandrappa M
Chandrappa M
中科院分区:
其他
文献类型:
--
作者:
Nallagangula KS;Nagaraj SK;Venkataswamy L;Chandrappa M

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肝纤维化的发生与慢性肝损伤的不同病因有关。肝纤维化程度的诊断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转换的直接标志物和反映肝功能障碍的间接标志物。虽然单一的标志物可能对成功的管理没有帮助,但结合测试的数学方程可能是有效的。本综述的主要目的是了解肝纤维化的生物标志物和评分系统的诊断准确性。组学方法的进步已经产生了临床上重要的肝纤维化生物标志物候选者,需要进一步评估。肝纤维化是由多种因素引起的全球性健康问题。疾病的早期诊断对于更好的患者护理非常重要。肝活检是诊断工具之一,但会出现并发症。直接(参与疾病进展)和间接标志物是肝功能障碍的指标,具有较低的诊断价值,易于应用。这些标志物的组合可能会给出显着的诊断,但早期检测是不确定的。因此,本综述解释了现有的生物标志物及其与通过使用先进技术产生有效疾病管理的理想生物标志物的相关性。
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. Liver fibrosis is a global health issue caused by various factors. Early diagnosis of the disease is important for better patient care. Liver biopsy is one of the diagnostic tools but comes with complications. Direct (involved in disease progression) and indirect markers are indicators for liver dysfunction that have easy applicability with less diagnostic value. Combination of these markers may give significant diagnosis but early detection is uncertain. Hence, the present review explains existing biomarkers and their relevance for the generation of ideal biomarkers for effective disease management by using advanced technology.