Serum β-klotho is a potential biomarker for the progression of hepatitis B virus-related liver diseases
DOI:
https://doi.org/10.3855/jidc.17870Keywords:
β-Klotho (KLB), hepatitis B virus (HBV), cirrhosis, hepatocellular carcinomaAbstract
Introduction: Hepatitis B virus (HBV) infection is a global epidemic that can lead to several liver diseases, seriously affecting people's health. This study aimed to investigate the clinical potential of serum β-klotho (KLB) as a promising biomarker in HBV-related liver diseases.
Methodology: This study enrolled 30 patients with chronic hepatitis B (CHB), 35 with HBV-related cirrhosis, 66 with HBV-related hepatocellular carcinoma (HCC), and 48 healthy individuals. ELISA measured the levels of serum KLB in the four groups. We then compared the differences in serum KLB levels among the groups and analyzed the relationship between serum KLB and routine clinical parameters.
Results: The concentrations of serum KLB levels were increased sequentially among the healthy subjects, the HBV-related CHB group, the HBV-related cirrhosis group, and the HBV-related HCC group (p < 0.05). Expression of KLB was positively correlated with alpha-fetoprotein (AFP), total bilirubin, direct bilirubin, alanine aminotransferase, aspartate aminotransferase, gamma-glutamyl-transferase, alkaline phosphatase, total bile acid, serum markers for liver fibrosis, ascites, cirrhosis, splenomegaly, and model for end-stage liver disease sodium, while negatively correlated with platelet count, albumin, and prothrombin activity (p < 0.05). In addition, serum KLB has better sensitivity in diagnosing HCC than AFP, and serum KLB combined with AFP has higher sensitivity and specificity than AFP alone in diagnosing HCC.
Conclusions: Serum KLB level is associated with the severity of HBV-related liver diseases and has important diagnostic value for HCC. Therefore, it could be a predictive biomarker for monitoring disease progression.
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Copyright (c) 2024 Xin Miao, ChuYan Peng, Fang Yan, XiQing Guo, LiNa Xia; Qiang Song; Xuan An, GuiCheng Wu
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Funding data
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Natural Science Foundation of Chongqing
Grant numbers cstc2019jcyj-msxmX0774 -
National Natural Science Foundation of China
Grant numbers 81873571