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You H, Wang X, Ma L, Zhang F, Zhang H, Wang Y, Pan X, Zheng K, Kong F, Tang R. Insights into the impact of hepatitis B virus on hepatic stellate cell activation. Cell Commun Signal 2023; 21:70. [PMID: 37041599 PMCID: PMC10088164 DOI: 10.1186/s12964-023-01091-7] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2022] [Accepted: 02/26/2023] [Indexed: 04/13/2023] Open
Abstract
During chronic hepatitis B virus (HBV) infection, hepatic fibrosis is a serious pathological condition caused by virus-induced liver damage. The activation of hepatic stellate cells (HSCs) is a central event in the occurrence and progression of liver fibrosis. Although accumulating evidence has shown that HBV directly stimulates HSC activation, whether the virus infects and replicates in HSCs remains controversial. Inflammation is one of the obvious characteristics of chronic HBV infection, and it has been demonstrated that persistent inflammation has a predominant role in triggering and maintaining liver fibrosis. In particular, the regulation of HSC activation by HBV-related hepatocytes via various inflammatory modulators, including TGF-β and CTGF, in a paracrine manner has been reported. In addition to these inflammation-related molecules, several inflammatory cells are essential for the progression of HBV-associated liver fibrosis. Monocytes, macrophages, Th17 cells, NK cells, as well as NKT cells, participate in the modulation of HBV-related liver fibrosis by interacting with HSCs. This review summarizes current findings on the effects of HBV and the relevant molecular mechanisms involved in HSC activation. Because HSC activation is essential for liver fibrosis, targeting HSCs is an attractive therapeutic strategy to prevent and reverse hepatic fibrosis induced by HBV infection. Video abstract.
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Affiliation(s)
- Hongjuan You
- Jiangsu Key Laboratory of Immunity and Metabolism, Jiangsu International Laboratory of Immunity and Metabolism, Department of Pathogenic Biology and Immunology, Xuzhou Medical University, Xuzhou, Jiangsu, China
| | - Xing Wang
- Jiangsu Key Laboratory of Immunity and Metabolism, Jiangsu International Laboratory of Immunity and Metabolism, Department of Pathogenic Biology and Immunology, Xuzhou Medical University, Xuzhou, Jiangsu, China
| | - Lihong Ma
- Jiangsu Key Laboratory of Immunity and Metabolism, Jiangsu International Laboratory of Immunity and Metabolism, Department of Pathogenic Biology and Immunology, Xuzhou Medical University, Xuzhou, Jiangsu, China
| | - Fulong Zhang
- Imaging Department, The Second Affiliated Hospital of Shandong First Medical University, Taian, China
| | - Huanyang Zhang
- Jiangsu Key Laboratory of Immunity and Metabolism, Jiangsu International Laboratory of Immunity and Metabolism, Department of Pathogenic Biology and Immunology, Xuzhou Medical University, Xuzhou, Jiangsu, China
| | - Yuxin Wang
- Jiangsu Key Laboratory of Immunity and Metabolism, Jiangsu International Laboratory of Immunity and Metabolism, Department of Pathogenic Biology and Immunology, Xuzhou Medical University, Xuzhou, Jiangsu, China
| | - Xiucheng Pan
- Department of Infectious Diseases, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, China
| | - Kuiyang Zheng
- Jiangsu Key Laboratory of Immunity and Metabolism, Jiangsu International Laboratory of Immunity and Metabolism, Department of Pathogenic Biology and Immunology, Xuzhou Medical University, Xuzhou, Jiangsu, China
- National Demonstration Center for Experimental Basic Medical Sciences Education, Xuzhou Medical University, Xuzhou, Jiangsu, China
| | - Fanyun Kong
- Jiangsu Key Laboratory of Immunity and Metabolism, Jiangsu International Laboratory of Immunity and Metabolism, Department of Pathogenic Biology and Immunology, Xuzhou Medical University, Xuzhou, Jiangsu, China.
| | - Renxian Tang
- Jiangsu Key Laboratory of Immunity and Metabolism, Jiangsu International Laboratory of Immunity and Metabolism, Department of Pathogenic Biology and Immunology, Xuzhou Medical University, Xuzhou, Jiangsu, China.
- National Demonstration Center for Experimental Basic Medical Sciences Education, Xuzhou Medical University, Xuzhou, Jiangsu, China.
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Characterization and prediction of viral loads of Hepatitis B serum samples by using surface-enhanced Raman spectroscopy (SERS). Photodiagnosis Photodyn Ther 2021; 35:102386. [PMID: 34116250 DOI: 10.1016/j.pdpdt.2021.102386] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/01/2021] [Revised: 05/27/2021] [Accepted: 06/03/2021] [Indexed: 12/31/2022]
Abstract
BACKGROUND Raman spectroscopy is a promising technique to analyze the body fluids for the purpose of non-invasive disease diagnosis. OBJECTIVES To develop a surface-enhanced Raman spectroscopy (SERS) based method for qualitative and quantitative analysis of hepatitis B viral (HBV) infection from blood serum samples. METHODS Clinically diagnosed hepatitis B virus (HBV) infected serum samples of patients of different levels of viral loads have been subjected for SERS analysis in comparison with the healthy ones by using silver nanoparticles (Ag NPs) based SERS substrates. The SERS measurements were performed on blood serum samples of 11 healthy and 32 clinically diagnosed HBV patients of different viral load levels of different exponentials including (101, 102 called as low level), (103, 104 called as medium level) and (105, 108 called as high level). Furthermore, multivariate data analysis techniques, Principal Component Analysis (PCA) and Partial Least Square Regression (PLSR) were also performed on SERS spectral data. RESULTS The SERS spectral features due to biochemical changes in HBV positive serum samples associated with the increasing viral loads were established which could be employed for HBV diagnostic purpose. PCA was found helpful for the differentiation between SERS spectral data of serum samples of different levels of HBV infection and healthy individuals. PLSR model developed with standard samples of known viral loads for predicting the viral loads of blind/unknown samples with 99% predicted accuracy. CONCLUSION SERS can be employed for qualitative and quantitative analysis of HBV infection from blood serum samples.
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Sasaki R, Kanda T, Nakamura M, Nakamoto S, Haga Y, Wu S, Shirasawa H, Yokosuka O. Possible Involvement of Hepatitis B Virus Infection of Hepatocytes in the Attenuation of Apoptosis in Hepatic Stellate Cells. PLoS One 2016; 11:e0146314. [PMID: 26731332 PMCID: PMC4701422 DOI: 10.1371/journal.pone.0146314] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2015] [Accepted: 12/15/2015] [Indexed: 01/05/2023] Open
Abstract
Background The induction of apoptosis in hepatic stellate cells (HSCs) is a promising therapeutic strategy against hepatitis B virus (HBV)-related hepatic fibrosis. The underlying mechanisms of apoptosis in HSCs, however, are unknown under consideration of HBV infection. In this study, the effects of HBV on apoptosis and endoplasmic reticulum (ER) stress signaling in HSCs were examined. Methods The effects of conditioned media (CM) from HepG2.2.15 on apoptosis induced by the proteasome inhibitor MG132 in LX-2 and HHSteC were studied in regard to c-Jun. In combination with c-Fos, c-Jun forms the AP-1 early response transcription factor, leading to AP-1 activation, signal transduction, endoplasmic reticulum (ER) stress and apoptosis. Results In LX-2 cells, MG132 treatment was associated with the phosphorylation of c-Jun, activation of AP-1 and apoptosis. However, in the presence of CM from HepG2.2.15, these phenomena were attenuated. In HHSteC cells, similar results were observed. HBV genomic DNA is not involved in the process of HSC apoptosis. It is possible that HBeAg has an inhibitory effect on MG132-induced apoptosis in LX-2. We also observed the upregulation of several ER stress-associated genes, such as cAMP responsive element binding protein 3-like 3, inhibin-beta A and solute carrier family 17-member 2, in the presence of CM from HepG2.2.15, or CM from PXB cells infected with HBV. Conclusions HBV inhibits the activation of c-Jun/AP-1 in HSCs, contributing to the attenuation of apoptosis and resulting in hepatic fibrosis. HBV also up-regulated several ER stress genes associated with cell growth and fibrosis. These mechanistic insights might shed new light on a treatment strategy for HBV-associated hepatic fibrosis.
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Affiliation(s)
- Reina Sasaki
- Department of Gastroenterology and Nephrology, Chiba University, Graduate School of Medicine, Chiba, 260–8670, Japan
| | - Tatsuo Kanda
- Department of Gastroenterology and Nephrology, Chiba University, Graduate School of Medicine, Chiba, 260–8670, Japan
- * E-mail:
| | - Masato Nakamura
- Department of Gastroenterology and Nephrology, Chiba University, Graduate School of Medicine, Chiba, 260–8670, Japan
| | - Shingo Nakamoto
- Department of Gastroenterology and Nephrology, Chiba University, Graduate School of Medicine, Chiba, 260–8670, Japan
- Department of Molecular Virology, Chiba University, Graduate School of Medicine, Chiba, 260–8670, Japan
| | - Yuki Haga
- Department of Gastroenterology and Nephrology, Chiba University, Graduate School of Medicine, Chiba, 260–8670, Japan
| | - Shuang Wu
- Department of Gastroenterology and Nephrology, Chiba University, Graduate School of Medicine, Chiba, 260–8670, Japan
| | - Hiroshi Shirasawa
- Department of Molecular Virology, Chiba University, Graduate School of Medicine, Chiba, 260–8670, Japan
| | - Osamu Yokosuka
- Department of Gastroenterology and Nephrology, Chiba University, Graduate School of Medicine, Chiba, 260–8670, Japan
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