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Li W, Jin R, Chen P, Zhao G, Li N, Wu H. Clinical correlation between HBV infection and concomitant bacterial infections. Sci Rep 2015; 5:15413. [PMID: 26634436 PMCID: PMC4669448 DOI: 10.1038/srep15413] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/27/2015] [Accepted: 08/07/2015] [Indexed: 12/13/2022] Open
Abstract
Bacterial infections are common in patients suffering viral hepatitis and critical for prognosis. However, any correlation between HBV and concomitant bacterial infections is not well characterized. A retrospective study was conducted from Jan 2012 to Jan 2014 on 1333 hospitalized patients infected with bacteria. Among them, 491 HBV-infected patients were co-infected with E. coli (268), S. aureus (61), P. aeruginosa (64) or K. pneumoniae (98). A group of 300 complication-free chronically HBV-infected patients were controls. We found that HBV DNA levels were elevated in patients with each of the bacterial infections (all P < 0.05). ALT and HBeAg were strong determinants of high HBV DNA concentration. Patterns of determinants varied in infections by Gram-positive and Gram-negative bacteria. Patients with HBV DNA ≥ 2000 IU/mL had higher rates of all four concomitant bacterial infections (all P < 0.001). All types of strains isolated from HBV-positive patients showed less resistance to tested antimicrobials. The HBV DNA serum concentrations were inversely correlated to the number of ineffective antimicrobials in E. coli, P. aeruginosa and K. pneumoniae infections (P = 0.022, 0.017 and 0.016, respectively), but not S. aureus (P = 0.194). In conclusion, bacterial infections are associated with a high level of HBV replication, which, in turn, has a significant positive impact on bacterial resistance to antimicrobials. These correlations vary between Gram-negative and Gram-positive bacteria.
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Affiliation(s)
- Wei Li
- Center for Infectious Diseases, Beijing You'an Hospital, Capital Medical University, Beijing 100069, China
| | - Ronghua Jin
- Department of Administration, Beijing You'an Hospital, Capital Medical University, Beijing 100069, China
| | - Peng Chen
- Center for Infectious Diseases, Beijing You'an Hospital, Capital Medical University, Beijing 100069, China
| | - Guoxian Zhao
- Center for Infectious Diseases, Beijing You'an Hospital, Capital Medical University, Beijing 100069, China
| | - Ning Li
- Department of Administration, Beijing You'an Hospital, Capital Medical University, Beijing 100069, China
| | - Hao Wu
- Center for Infectious Diseases, Beijing You'an Hospital, Capital Medical University, Beijing 100069, China
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Shih YH, Lin XZ, Yeh CH, Peng CL, Shieh MJ, Lin WJ, Luo TY. Preparation and therapeutic evaluation of (188)Re-thermogelling emulsion in rat model of hepatocellular carcinoma. Int J Nanomedicine 2014; 9:4191-201. [PMID: 25214783 PMCID: PMC4159399 DOI: 10.2147/ijn.s66346] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022] Open
Abstract
Radiolabeled Lipiodol® (Guerbet, Villepinte, France) is routinely used in hepatoma therapy. The temperature-sensitive hydrogel polyethylene glycol-b-poly-DL-lactic acid-co-glycolic acid-b-polyethylene glycol triblock copolymer is used as an embolic agent and sustained drug release system. This study attempted to combine the polyethylene glycol-b-poly-DL-lactic acid-co-glycolic acid-b-polyethylene glycol hydrogel and radio-labeled Lipiodol to form a new radio-thermogelling emulsion, rhenium-188–N,N’-1,2-ethanediylbis-L-cysteine diethyl-ester dihydrochloride–Lipiodol/hydrogel (188Re-ELH). The therapeutic potential of 188Re-ELH was evaluated in a rodent hepatoma model. Rhenium-188 chelated with N,N’-1,2-ethanediylbis-L-cysteine diethyl-ester dihydrochloride was extracted with Lipiodol to obtain rhenium-188–N,N’-1,2-ethanediylbis-L-cysteine diethyl-ester dihydrochloride–Lipiodol (188Re-EL), which was blended with the hydrogel in equal volumes to develop 188Re-ELH. The 188Re-ELH phase stability was evaluated at different temperatures. Biodistribution patterns and micro-single-photon emission computed tomography/computed tomography images in Sprague Dawley rats implanted with the rat hepatoma cell line N1-S1 were observed after in situ tumoral injection of ~3.7 MBq 188Re-ELH. The therapeutic potential of 188Re-EL (48.58±3.86 MBq/0.1 mL, n=12) was evaluated in a 2-month survival study using the same animal model. The therapeutic effects of 188Re-ELH (25.52±4.64 MBq/0.1 mL, n=12) were evaluated and compared with those of 188Re-EL. The responses were assessed by changes in tumor size and survival rates. The 188Re-ELH emulsion was stable in the gel form at 25°C–35°C for >52 hours. Biodistribution data and micro-single-photon emission computed tomography/computed tomography images of the 188Re-ELH group indicated that most activity was selectively observed in hepatomas. Long-term 188Re-ELH studies have demonstrated protracted reductions in tumor volumes and positive effects on the survival rates (75%) of N1-S1 hepatoma-bearing rats. Conversely, the 2-month survival rate was 13% in the control sham group. Therapeutic responses differed significantly between the two groups (P<0.005). Thus, the hydrogel enhanced the injection stability of 188Re-EL in an animal hepatoma model. Given the synergistic results, direct 188Re-ELH intratumoral injection is a potential therapeutic alternative for hepatoma treatment.
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Affiliation(s)
- Ying-Hsia Shih
- Isotope Application Division, Institute of Nuclear Energy Research, Longtan, Taiwan ; Institute of Biomedical Engineering, National Taiwan University, Taipei, Taiwan
| | - Xi-Zhang Lin
- Department of Internal Medicine, National Cheng Kung University, Tainan, Taiwan
| | - Chung-Hsin Yeh
- Isotope Application Division, Institute of Nuclear Energy Research, Longtan, Taiwan
| | - Cheng-Liang Peng
- Isotope Application Division, Institute of Nuclear Energy Research, Longtan, Taiwan ; Institute of Biomedical Engineering, National Taiwan University, Taipei, Taiwan
| | - Ming-Jium Shieh
- Institute of Biomedical Engineering, National Taiwan University, Taipei, Taiwan ; Department of Oncology, National Taiwan University Hospital and College of Medicine, Taipei, Taiwan
| | - Wuu-Jyh Lin
- Isotope Application Division, Institute of Nuclear Energy Research, Longtan, Taiwan
| | - Tsai-Yueh Luo
- Isotope Application Division, Institute of Nuclear Energy Research, Longtan, Taiwan ; Institute of Radiological Science, Central Taiwan University of Science and Technology, Taichung, Taiwan
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Song IH, Kim SM, Choo YK. Risk prediction of hepatitis B virus-related hepatocellular carcinoma in the era of antiviral therapy. World J Gastroenterol 2013; 19:8867-8872. [PMID: 24379609 PMCID: PMC3870537 DOI: 10.3748/wjg.v19.i47.8867] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/28/2013] [Revised: 10/23/2013] [Accepted: 11/05/2013] [Indexed: 02/06/2023] Open
Abstract
Hepatocellular carcinoma (HCC) is a grave primary liver cancer that has a limited therapeutic option because it is generally diagnosed later in an advanced stage due to its aggressive biologic behavior. The early detection of HCC has a great impact on the treatment efficacy and survival of patients at high risk for cancer. Potential host, environmental, and virus-related risk factors have been introduced. Hepatitis B virus (HBV) is a major cause of end-stage liver diseases such as liver cirrhosis or HCC in endemic areas, and its serologic or virologic status is considered an important risk factor. HCC risk prediction derived from the identification of major risk factors is necessary for providing adequate screening/surveillance strategies to high-risk individuals. Several risk prediction models for HBV-related HCC have been presented recently with simple, efficient, and readily available to use parameters applicable to average- or unknown-risk populations as well as high-risk individuals. Predictive scoring systems of risk estimation to assess HCC development can provide the way to an evidence-based clinical approach for cost- and effort-effective outcomes, capable of inducing a personalized surveillance program according to risk stratification. In this review, the concepts and perspectives of the risk prediction of HCC are discussed through the analysis of several risk prediction models of HBV-related HCC.
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