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Abstract
Coronavirus disease 2019 (COVID-19), caused by severe acute respiratory syndrome coronavirus 2, is a major public health issue. The epidemic is unlikely to be contained until the global launch of safe and effective vaccines that could prevent serious illnesses and provide herd immunity. Although most patients have mild flu-like symptoms, some develop severe illnesses accompanied by multiple organ dysfunction. The identification of pathophysiology and early warning biomarkers of a severe type of COVID-19 contribute to the treatment and prevention of serious complications. Here, we review the pathophysiology, early warning indicators, and effective treatment of Chinese and Western Medicine for patients with a severe type of COVID-19.
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Affiliation(s)
- Ke Shi
- Center of Integrative Medicine, Beijing Ditan Hospital, Capital Medical University, Beijing, 100015, China.,Department of Gastroenterology, Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, 100007, China
| | - Yao Liu
- Center of Integrative Medicine, Beijing Ditan Hospital, Capital Medical University, Beijing, 100015, China
| | - Qun Zhang
- Center of Integrative Medicine, Beijing Ditan Hospital, Capital Medical University, Beijing, 100015, China
| | - Chong-Ping Ran
- Center of Integrative Medicine, Beijing Ditan Hospital, Capital Medical University, Beijing, 100015, China
| | - Jie Hou
- Center of Integrative Medicine, Beijing Ditan Hospital, Capital Medical University, Beijing, 100015, China.,Department of Gastroenterology, Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, 100007, China
| | - Yi Zhang
- Center of Integrative Medicine, Beijing Ditan Hospital, Capital Medical University, Beijing, 100015, China
| | - Xian-Bo Wang
- Department of Gastroenterology, Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, 100007, China.
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Pan CQ, Li MH, Yi W, Zhang L, Lu Y, Hao HX, Wan G, Cao WH, Wang XY, Ran CP, Shen G, Wu SL, Chang M, Gao YJ, Xie Y. Outcome of Chinese patients with hepatitis B at 96 weeks after functional cure with IFN versus combination regimens. Liver Int 2021; 41:1498-1508. [PMID: 33486874 DOI: 10.1111/liv.14801] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/17/2019] [Revised: 06/09/2020] [Accepted: 01/07/2021] [Indexed: 12/26/2022]
Abstract
BACKGROUND & AIMS Nucleotides with add-on interferon treatment (NUC-IFN) provide significantly higher rates of hepatitis B surface antigen (HBsAg) loss in patients with chronic hepatitis B (CHB). This study aimed to investigate the sustainability of HBsAg loss and the prevention of clinical relapse. METHODS Patients with CHB who achieved HBsAg loss and HBV DNA levels <20 IU/ml after IFN or NUC-IFN therapy were enrolled and followed up for 96 weeks. The primary outcome was HBsAg negativity without viremia at week 96. Secondary outcomes included virological or clinical relapse and predictors of relapse. RESULTS 420 patients were included in intention-to-treat analysis with 290 and 130 in the IFN and NUC-IFN groups respectively. At week 96, the intention-to-treat analysis revealed similar outcomes between groups, including HBsAg seroreversion (24.83% vs. 23.08%, P = .70), viremia (16.90% vs 13.08%, P = .32) and clinical relapse (11.38% vs 10.00%, P = .68); the per-protocol analyses also showed HBsAg seroreversion, viremia and clinical relapse in IFN group (15.50%, 6.59% and 0.39%) did not differ from those in NUC-IFN group (15.25%, 4.24% and 0.85%, P > .05). These outcomes were similar between patients who received entecavir and those who received telbivudine/lamivudine/adefovir before the combination therapy. In NUC-IFN-treated patients, fibrosis regression was observed at week 96. Baseline HBsAb negativity was independent predictors of HBsAg sero-reversion and recurrence of viremia in IFN treated group. CONCLUSION NUC-IFN and IFN therapies are equally effective in achieving sustained functional cure and fibrosis regression. (ClinicalTrials.gov, Number NCT02336399).
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Affiliation(s)
- Calvin Q Pan
- Center of Liver Diseases, Beijing Ditan Hospital, Capital Medical University, Beijing, China.,Division of Gastroenterology and Hepatology, Department of Medicine, NYU Langone Health, New York University School of Medicine, New York, NY, USA
| | - Ming-Hui Li
- Department of Hepatology Division 2, Beijing Ditan Hospital, Capital Medical University, Beijing, China.,Department of Hepatology Division 2, Peking University Ditan Teaching Hospital, Beijing, China
| | - Wei Yi
- Department of Obstetrics and Gynecology, Beijing Ditan Hospital, Capital Medical University, Beijing, China
| | - Lu Zhang
- Department of Hepatology Division 2, Beijing Ditan Hospital, Capital Medical University, Beijing, China
| | - Yao Lu
- Department of Hepatology Division 2, Beijing Ditan Hospital, Capital Medical University, Beijing, China
| | - Hong-Xiao Hao
- Department of Hepatology Division 2, Beijing Ditan Hospital, Capital Medical University, Beijing, China
| | - Gang Wan
- Department of Medical and Biological Statistics, Beijing Ditan Hospital, Capital Medical University, Beijing, China
| | - Wei-Hua Cao
- Department of Hepatology Division 2, Beijing Ditan Hospital, Capital Medical University, Beijing, China
| | - Xing-Yue Wang
- Department of Hepatology Division 2, Beijing Ditan Hospital, Capital Medical University, Beijing, China
| | - Chong-Ping Ran
- Department of Hepatology Division 2, Beijing Ditan Hospital, Capital Medical University, Beijing, China
| | - Ge Shen
- Department of Hepatology Division 2, Beijing Ditan Hospital, Capital Medical University, Beijing, China
| | - Shu-Ling Wu
- Department of Hepatology Division 2, Beijing Ditan Hospital, Capital Medical University, Beijing, China
| | - Min Chang
- Department of Hepatology Division 2, Beijing Ditan Hospital, Capital Medical University, Beijing, China
| | - Yuan-Jiao Gao
- Department of Hepatology Division 2, Beijing Ditan Hospital, Capital Medical University, Beijing, China
| | - Yao Xie
- Department of Hepatology Division 2, Beijing Ditan Hospital, Capital Medical University, Beijing, China.,Department of Hepatology Division 2, Peking University Ditan Teaching Hospital, Beijing, China
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3
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Cao WH, Li MH, Pan CQ, Lu Y, Zhang L, Ran CP, Wu SL, Hua WH, Liu SA, Shen G, Chang M, Liu RY, Hao HX, Hu LP, Xie Y. Quantitation of Plasmacytoid Dendritic Cells in Chronic Hepatitis B Patients with HBeAg Positivity During PEG-IFN and Entecavir Therapy. J Interferon Cytokine Res 2019; 38:197-205. [PMID: 29791282 DOI: 10.1089/jir.2018.0014] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022] Open
Abstract
Plasmacytoid dendritic cells (pDCs) are crucial for control of chronic hepatitis B (CHB) virus infection. In this study, we evaluated the frequencies of pDCs and expression of functional molecules on pDCs in patients treated with PEG-IFN-α-2a or entecavir (ETV) and investigated changes during treatment. The mean fluorescence intensity of CD86 (CD86MFI) on the surface of pDCs and frequencies of pDCs and CD86+ pDCs in peripheral blood were measured. Compared with baseline, CD86+ pDC% and CD86MFI increased obviously after PEG-IFN-α-2a treatment for 12 and 24 weeks. For patients treated with ETV, only pDC% increased observably after treatment weeks 12 and 24 (P < 0.001) compared with baseline. Hepatitis B surface antigen (HBsAg) decline was significantly associated with elevated CD86+ pDC% (r = 0.348, P = 0.015) during PEG-IFN-α-2a treatment. In the HBsAg response group, CD86+ pDC% and CD86MFI (P < 0.001) increased observably after PEG-IFN-α-2a therapy, whereas only CD86MFI had a statistically significant difference after therapy compared with baseline (12 weeks versus 0 weeks, P = 0.022; 24 weeks versus 0 weeks, P = 0.015) in the HBsAg nonresponse group. CD86+ pDC% between the 2 groups had statistically significant differences at baseline (P = 0.001) and at the treatment time points of 12 and 24 weeks (P < 0.001), respectively. For patients receiving ETV therapy, pDC% increased observably, but CD86+ pDC% decreased significantly (P < 0.001) in the HBV DNA nonresponse group during early treatment with ETV. In CHB patients, HBsAg response in PEG-IFN-α-2a therapy correlated with the increase of CD86+ pDC% and HBV DNA nonresponse in ETV treatment correlated with the decrease of CD86+ pDC%.
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Affiliation(s)
- Wei-Hua Cao
- 1 Department of Hepatology Division 2, Liver Diseases Center, Peking University Ditan Teaching Hospital , Beijing, China
| | - Ming-Hui Li
- 2 Department of Hepatology Division 2, Liver Diseases Center, Beijing Ditan Hospital, Capital Medical University , Beijing, China
| | - Calvin Q Pan
- 3 Division of Gastroenterology and Hepatology, Department of Medicine, NYU Langone Health, New York University School of Medicine , New York, New York
| | - Yao Lu
- 2 Department of Hepatology Division 2, Liver Diseases Center, Beijing Ditan Hospital, Capital Medical University , Beijing, China
| | - Lu Zhang
- 2 Department of Hepatology Division 2, Liver Diseases Center, Beijing Ditan Hospital, Capital Medical University , Beijing, China
| | - Chong-Ping Ran
- 2 Department of Hepatology Division 2, Liver Diseases Center, Beijing Ditan Hospital, Capital Medical University , Beijing, China
| | - Shu-Ling Wu
- 2 Department of Hepatology Division 2, Liver Diseases Center, Beijing Ditan Hospital, Capital Medical University , Beijing, China
| | - Wen-Hao Hua
- 4 Clinical Test Center, Beijing Ditan Hospital, Capital Medical University , Beijing, China
| | - Shun-Ai Liu
- 5 Institute of Infectious Diseases, Beijing Ditan Hospital, Capital Medical University , Beijing, China
| | - Ge Shen
- 2 Department of Hepatology Division 2, Liver Diseases Center, Beijing Ditan Hospital, Capital Medical University , Beijing, China
| | - Min Chang
- 2 Department of Hepatology Division 2, Liver Diseases Center, Beijing Ditan Hospital, Capital Medical University , Beijing, China
| | - Ru-Yu Liu
- 2 Department of Hepatology Division 2, Liver Diseases Center, Beijing Ditan Hospital, Capital Medical University , Beijing, China
| | - Hong-Xiao Hao
- 2 Department of Hepatology Division 2, Liver Diseases Center, Beijing Ditan Hospital, Capital Medical University , Beijing, China
| | - Lei-Ping Hu
- 2 Department of Hepatology Division 2, Liver Diseases Center, Beijing Ditan Hospital, Capital Medical University , Beijing, China
| | - Yao Xie
- 1 Department of Hepatology Division 2, Liver Diseases Center, Peking University Ditan Teaching Hospital , Beijing, China
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Xie Y, Yi W, Zhang L, Lu Y, Hao HX, Gao YJ, Ran CP, Lu HH, Chen QQ, Shen G, Wu SL, Chang M, Ping-Hu L, Liu RY, Sun L, Wan G, Li MH. Evaluation of a logistic regression model for predicting liver necroinflammation in hepatitis B e antigen-negative chronic hepatitis B patients with normal and minimally increased alanine aminotransferase levels. J Viral Hepat 2019; 26 Suppl 1:42-49. [PMID: 31380591 DOI: 10.1111/jvh.13163] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/30/2018] [Accepted: 05/15/2019] [Indexed: 12/26/2022]
Abstract
Liver necroinflammation is the indicator for treating patients with chronic hepatitis B (CHB) infection. However, there is no suitable non-invasive index for diagnosing liver necroinflammation. This study aimed to create a non-invasive index to predict liver necroinflammation in patients who lack clear-cut clinical inflammation parameters. Patients who were hepatitis B e antigen (HBeAg)-negative and underwent liver histological diagnosis, had a normal or minimally increased alanine aminotransferase (ALT) level were enrolled. Liver necroinflammation was defined as histological active index ≥4. A logistic regression model (LRM) was established based on the parameters independently associated with liver necroinflammation. Of all 550 patients, 36.73% had necroinflammation. In patients with an abnormal ALT level, the rate of necroinflammation was 52.49%. The area under the curve (AUC) of the ALT level for predicting necroinflammation was 0.655 (95% confidence interval [CI], 0.609-0.702), and that of the HBV DNA level ≥2000 IU/mL combined with an abnormal ALT level was 0.618. By using the LRM, the AUC improved to 0.769 (95% CI, 0.723-0.815) with a Youden index of 0.519 and diagnostic accuracy of 75.3%. The cutoff value ≥0.7 in the LRM had a specificity of 97.4% and positive predictive value of 85.0% for predicting necroinflammation. By using the cutoff value <0.15 in the LRM, the presence of necroinflammation could be excluded with a negative predictive value of 90.8%. This study indicated that the LRM can be used to effectively diagnose liver necroinflammation in HBeAg-negative patients with CHB who have normal or minimally elevated ALT levels.
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Affiliation(s)
- Yao Xie
- Department of Hepatology Division 2, Beijing Ditan Hospital, Capital Medical University, Beijing, China
| | - Wei Yi
- Department of Gynecology and Obstetrics, Beijing Ditan Hospital, Capital Medical University, Beijing, China
| | - Lu Zhang
- Department of Hepatology Division 2, Beijing Ditan Hospital, Capital Medical University, Beijing, China
| | - Yao Lu
- Department of Hepatology Division 2, Beijing Ditan Hospital, Capital Medical University, Beijing, China
| | - Hong-Xiao Hao
- Department of Hepatology Division 2, Beijing Ditan Hospital, Capital Medical University, Beijing, China
| | - Yuan-Jiao Gao
- Department of Hepatology Division 2, Beijing Ditan Hospital, Capital Medical University, Beijing, China
| | - Chong-Ping Ran
- Department of Hepatology Division 2, Beijing Ditan Hospital, Capital Medical University, Beijing, China
| | - Hui-Hui Lu
- Department of Hepatology Division 2, Beijing Ditan Hospital, Capital Medical University, Beijing, China
| | - Qi-Qi Chen
- Department of Hepatology Division 2, Beijing Ditan Hospital, Capital Medical University, Beijing, China
| | - Ge Shen
- Department of Hepatology Division 2, Beijing Ditan Hospital, Capital Medical University, Beijing, China
| | - Shu-Ling Wu
- Department of Hepatology Division 2, Beijing Ditan Hospital, Capital Medical University, Beijing, China
| | - Ming Chang
- Department of Hepatology Division 2, Beijing Ditan Hospital, Capital Medical University, Beijing, China
| | - Lei Ping-Hu
- Department of Hepatology Division 2, Beijing Ditan Hospital, Capital Medical University, Beijing, China
| | - Rui-Yu Liu
- Department of Hepatology Division 2, Beijing Ditan Hospital, Capital Medical University, Beijing, China
| | - Lei Sun
- Department of Pathology, Beijing Ditan Hospital, Capital Medical University, Beijing, China
| | - Gang Wan
- Medical Records and Statistics Department, Beijing Ditan Hospital, Capital Medical University, Beijing, China
| | - Ming-Hui Li
- Department of Hepatology Division 2, Beijing Ditan Hospital, Capital Medical University, Beijing, China
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Li MH, Zhang L, Zhang D, Cao WH, Qi TL, Hao HX, Wang XY, Ran CP, Qu XJ, Liu SA, Lu Y, Shen G, Wu SL, Chang M, Liu RY, Hu LP, Hua WH, Wan G, Cheng J, Xie Y. Plasmacytoid Dendritic Cell Function and Cytokine Network Profiles in Patients with Acute or Chronic Hepatitis B Virus Infection. Chin Med J (Engl) 2019; 131:43-49. [PMID: 29271379 PMCID: PMC5754957 DOI: 10.4103/0366-6999.221275] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023] Open
Abstract
Background: Plasmacytoid dendritic cells (pDCs) and cytokines play an important role in occurrence and recovery of hepatitis B virus (HBV) infection. The aim of this study was to explore the frequency and function of pDC and serum cytokine network profiles in patients with acute or chronic HBV infection. Methods: The healthy individuals (HI group), hepatitis B envelope antigen (HBeAg)-positive chronic HBV patients in immune tolerance (IT) phase (IT group), HBeAg-positive chronic HBV patients (CHB group), and acute HBV patients (AHB group) were enrolled in this study. The frequency of cluster of differentiation antigen 86 (CD86) + pDC and the counts of CD86 molecular expressed on surface of pDC were tested by flow cytometer. The quantitative determinations of cytokines, including Fms-like tyrosine kinase 3 ligand (Flt-3L), interferon (IFN)-α2, IFN-γ, interleukin (IL)-17A, IL-6, IL-10, transforming growth factor (TGF)-β1 and TGF-β2, were performed using Luminex multiplex technology. Results: In this study, there were 13 patients in HI group, 30 in IT group, 50 in CHB group, and 32 in AHB group. Compared with HI group, HBV infected group (including all patients in IT, CHB and AHB groups) had significantly higher counts of CD86 molecular expressed on the surface of pDC (4596.5 ± 896.5 vs. 7097.7 ± 3124.6; P < 0.001). The counts of CD86 molecular expressed on the surface of pDC in CHB group (7739.2 ± 4125.4) was significantly higher than that of IT group (6393.4 ± 1653.6, P = 0.043). Compared with IT group, the profile of cytokines of Flt-3L, IFN-γ, and IL-17A was decreased, IFN-α2 was significantly increased (P = 0.012) in CHB group. The contents of IL-10, TGF-β1, and TGF-β2 in AHB group were significantly increased compared with IT and CHB groups (all P < 0.05). Conclusions: This study demonstrated that the function of pDC was unaffected in HBV infection. The enhanced function of pDC and IFN-α2 might involve triggering the immune response from IT to hepatitis active phase in HBV infection. Acute patients mainly presented as down-regulation of the immune response by enhanced IL-10 and TGF-β.
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Affiliation(s)
- Ming-Hui Li
- Liver Diseases Center, Beijing Ditan Hospital, Capital Medical University, Beijing 100015, China
| | - Lu Zhang
- Liver Diseases Center, Beijing Ditan Hospital, Capital Medical University, Beijing 100015, China
| | - Dan Zhang
- Liver Diseases Center, Beijing Ditan Hospital, Capital Medical University, Beijing 100015, China
| | - Wei-Hua Cao
- Liver Diseases Center, Beijing Ditan Hospital, Capital Medical University, Beijing 100015, China
| | - Tian-Lin Qi
- Liver Diseases Center, Beijing Ditan Hospital, Capital Medical University, Beijing 100015, China
| | - Hong-Xiao Hao
- Liver Diseases Center, Beijing Ditan Hospital, Capital Medical University, Beijing 100015, China
| | - Xing-Yue Wang
- Liver Diseases Center, Beijing Ditan Hospital, Capital Medical University, Beijing 100015, China
| | - Chong-Ping Ran
- Liver Diseases Center, Beijing Ditan Hospital, Capital Medical University, Beijing 100015, China
| | - Xiao-Jing Qu
- Liver Diseases Center, Beijing Ditan Hospital, Capital Medical University, Beijing 100015, China
| | - Shun-Ai Liu
- Institute of Infectious Diseases, Beijing Ditan Hospital, Capital Medical University, Beijing 100015, China
| | - Yao Lu
- Liver Diseases Center, Beijing Ditan Hospital, Capital Medical University, Beijing 100015, China
| | - Ge Shen
- Liver Diseases Center, Beijing Ditan Hospital, Capital Medical University, Beijing 100015, China
| | - Shu-Ling Wu
- Liver Diseases Center, Beijing Ditan Hospital, Capital Medical University, Beijing 100015, China
| | - Min Chang
- Liver Diseases Center, Beijing Ditan Hospital, Capital Medical University, Beijing 100015, China
| | - Ru-Yu Liu
- Liver Diseases Center, Beijing Ditan Hospital, Capital Medical University, Beijing 100015, China
| | - Lei-Ping Hu
- Liver Diseases Center, Beijing Ditan Hospital, Capital Medical University, Beijing 100015, China
| | - Wen-Hao Hua
- Clinical Test Center, Beijing Ditan Hospital, Capital Medical University, Beijing 100015, China
| | - Gang Wan
- Liver Diseases Center, Beijing Ditan Hospital, Capital Medical University, Beijing 100015, China
| | - Jun Cheng
- Institute of Infectious Diseases, Beijing Ditan Hospital, Capital Medical University, Beijing 100015, China
| | - Yao Xie
- Liver Diseases Center, Beijing Ditan Hospital, Capital Medical University, Beijing 100015, China
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Li MH, Lu Y, Zhang L, Wang XY, Ran CP, Hao HX, Zhang D, Qu XJ, Shen G, Wu SL, Cao WH, Qi TL, Liu RY, Hu LP, Chang M, Hua WH, Liu SA, Wan G, Xie Y. Association of Cytokines with Alanine Aminotransferase, Hepatitis B Virus Surface Antigen and Hepatitis B Envelope Antigen Levels in Chronic Hepatitis B. Chin Med J (Engl) 2018; 131:1813-1818. [PMID: 30058578 PMCID: PMC6071474 DOI: 10.4103/0366-6999.237394] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023] Open
Abstract
Background Cytokines play an important role in occurrence and recovery of hepatitis B virus (HBV) infection. The aim of this study was to investigate the changes of cytokines concentration and its correlation to alanine aminotransferase (ALT), HBV deoxyribonucleic acid (HBV-DNA), hepatitis B envelope antigen (HBeAg), and HBV surface antigen (HBsAg) in the development of chronic hepatitis B (CHB). Methods Thirteen healthy individuals (HI), 30 chronic HBV-infected patients in immune tolerant (IT) phase, and 55 CHB patients were enrolled between August 2015 and May 2017. The peripheral blood samples were collected from all individuals. The levels of interferon (IFN)-α2, interleukin (IL)-10, transforming growth factor (TGF)-β1, HBV-DNA, HBsAg, and HBeAg and liver function were measured. The quantitative determinations of cytokines levels, including IFN-α2, IL-10, and TGF-β1 were performed using Luminex multiplex technology. The correlation of cytokines to ALT, HBV-DNA, HBsAg, and HBeAg was analyzed by linear regression analysis. Results IFN-α2 levels were similar between HI and IT groups (15.35 [5.70, 67.65] pg/ml vs. 15.24 [4.07, 30.73] pg/ml, Z = -0.610, P = 0.542), while it elevated significantly in CHB group (35.29 [15.94, 70.15] pg/ml vs. 15.24 [4.07, 30.73] pg/ml; Z = -2.522, P = 0.012). Compared with HI group (3.73 [2.98, 11.92] pg/ml), IL-10 concentrations in IT group (5.02 [2.98, 10.11] pg/ml), and CHB group (7.48 [3.10, 18.00] pg/ml) slightly increased (χ2 = 2.015, P = 0.365), and there was no significant difference between IT and CHB group (Z = -1.419, P = 0.156). The TGF-β1 levels among HI (3.59 ± 0.20 pg/ml), IT (3.62 ± 0.55 pg/ml), and CHB groups (3.64 ± 0.30 pg/ml) were similar (χ2 = 2.739, P = 0.254). In all chronic HBV-infected patients (including patients in IT and CHB groups), the elevation of IFN-α2 level was significantly associated with ALT level (β= 0.389, t = 2.423, P = 0.018), and was also negatively correlated to HBV-DNA load (β = -0.358, t = -2.308, P = 0.024), HBsAg (β = -0.359, t = -2.288, P = 0.025), and HBeAg contents (β = -0.355, t = -2.258, P = 0.027). However, when both ALT level and cytokines were included as independent variable, HBV-DNA load, HBsAg, and HBeAg contents were only correlated to ALT level (β = -0.459, t = -4.225, P = 0.000; β = -0.616, t = -6.334, P = 0.000; and β = -0.290, t = -2.433, P = 0.018; respectively). Conclusions IFN-α2 elevation was associated with ALT level in patients with chronic HBV infection. However, in CHB patients, only ALT level was correlated to HBV-DNA, HBsAg and HBeAg contents.
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Affiliation(s)
- Ming-Hui Li
- Liver Diseases Center, Beijing Ditan Hospital, Capital Medical University, Beijing 100015, China
| | - Yao Lu
- Beijing Key laboratory of Emerging Infectious Diseases, Institute of Infectious Diseases, Beijing Ditan Hospital, Capital Medical University, Beijing 100015, China
| | - Lu Zhang
- Liver Diseases Center, Beijing Ditan Hospital, Capital Medical University, Beijing 100015, China
| | - Xing-Yue Wang
- Liver Diseases Center, Beijing Ditan Hospital, Capital Medical University, Beijing 100015, China
| | - Chong-Ping Ran
- Liver Diseases Center, Beijing Ditan Hospital, Capital Medical University, Beijing 100015, China
| | - Hong-Xiao Hao
- Liver Diseases Center, Beijing Ditan Hospital, Capital Medical University, Beijing 100015, China
| | - Dan Zhang
- Liver Diseases Center, Beijing Ditan Hospital, Capital Medical University, Beijing 100015, China
| | - Xiao-Jing Qu
- Liver Diseases Center, Beijing Ditan Hospital, Capital Medical University, Beijing 100015, China
| | - Ge Shen
- Liver Diseases Center, Beijing Ditan Hospital, Capital Medical University, Beijing 100015, China
| | - Shu-Ling Wu
- Liver Diseases Center, Beijing Ditan Hospital, Capital Medical University, Beijing 100015, China
| | - Wei-Hua Cao
- Liver Diseases Center, Beijing Ditan Hospital, Capital Medical University, Beijing 100015, China
| | - Tian-Lin Qi
- Liver Diseases Center, Beijing Ditan Hospital, Capital Medical University, Beijing 100015, China
| | - Ru-Yu Liu
- Liver Diseases Center, Beijing Ditan Hospital, Capital Medical University, Beijing 100015, China
| | - Lei-Ping Hu
- Liver Diseases Center, Beijing Ditan Hospital, Capital Medical University, Beijing 100015, China
| | - Min Chang
- Liver Diseases Center, Beijing Ditan Hospital, Capital Medical University, Beijing 100015, China
| | - Wen-Hao Hua
- Clinical Test Center, Beijing Ditan Hospital, Capital Medical University, Beijing 100015, China
| | - Shun-Ai Liu
- Beijing Key laboratory of Emerging Infectious Diseases, Institute of Infectious Diseases, Beijing Ditan Hospital, Capital Medical University, Beijing 100015, China
| | - Gang Wan
- Liver Diseases Center, Beijing Ditan Hospital, Capital Medical University, Beijing 100015, China
| | - Yao Xie
- Liver Diseases Center, Beijing Ditan Hospital, Capital Medical University, Beijing 100015, China
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