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RISS 인기검색어
- 검색키워드
- 저자 : ( En Qiang Chen ) (검색결과 5 건)
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Hepatitis B Virus Gene Mutations and Hepatocarcinogenesis
Liang, Tao,Chen, En-Qiang,Tang, Hong Asian Pacific Journal of Cancer Prevention 2013 Asian Pacific journal of cancer prevention Vol.14 No.8
Chronic hepatitis B virus (HBV) infection has long been the most common cause of hepatocellular carcinoma (HCC). However, some aspects of the pathogenesis of HBV infection and genesis of hepatitis B virus (HBV)-related hepatocellular carcinoma (HCC) are still inconclusive. An increasing number of published studies indicate that hepatitis B virus mutations are associated with risk of HCC. These variations include, in particular, mutations in ORF S,C,X gene regions. This mini-review summarizes results of clinical studies and molecular mechanisms on the possible relations of HBV mutations with the development of hepatocellular carcinoma.
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( Li Chun Wang ),( En Qiang Chen ),( Xiao Feng Zhu ),( Zhong Hua Xiong ),( Li Liu ),( Lu Xu ),( Xue Zhong Lei ),( Cong Liu ),( Hong Tang ) 대한간학회 2011 Gut and Liver Vol.5 No.4
Background/Aims: To reveal possible factors predicting the effect of adefovir dipivoxil (ADV) treatment on chronic hepatitis B (CHB) and optimize the utilization of ADV. Methods: In total, 168 treatment-naive CHB patients were enrolled, including 117 hepatitis B e antigen (HBeAg)-positive patients and 51 HBeAg-negative patients who met the inclusion criteria. All patients were treated with ADV 10 mg per day for 48 weeks. Multiple logistic regression analyses were used to investigate baseline factors, and responses at weeks 12 and 24 were analyzed as predictive values. Results: Multiple regression analyses showed that baseline HBeAg status and HBV DNA levels signifi cantly affected the virological response (VR) (p<0.05), baseline ALT levels were an independent predictor of serological response (SR) (p<0.05) and the body mass index (BMI) may affect the biochemical response (BR) (p<0.05). There was a statistically significant difference in the VR and SR between patients with a primary nonresponse (PNR) at week 12 and those with a VR at week 12 (p<0.01). Additionally, the VR was significantly different between patients with HBV DNA lower than 103 copies/mL at week 24 and those with greater than 103 copies/mL (p<0.01). Conclusions: Patients with negative HBeAg, lower HBV DNA levels and higher ALT values at baseline are more suitable for ADV treatment, whereas patients with lower BMIs may be more amenable to ALT normalization. Adjustments for treatment strategy should be considered if PNR at week 12 or HBV DNA ≥103 copies/mL at week 24 is observed. (Gut Liver 2011;5:478-485)
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Li-Chun Wang,En-Qiang Chen,Xiao-Feng Zhu,Zhong-Hua Xiong,Li Liu,Lu Xu,Xue-Zhong Lei,Cong Liu,Hong Tang 거트앤리버 소화기연관학회협의회 2011 Gut and Liver Vol.5 No.4
Background/Aims: To reveal possible factors predicting the effect of adefovir dipivoxil (ADV) treatment on chronic hepatitis B (CHB) and optimize the utilization of ADV. Methods:In total, 168 treatment-naïve CHB patients were enrolled,including 117 hepatitis B e antigen (HBeAg)-positive patients and 51 HBeAg-negative patients who met the inclusion criteria. All patients were treated with ADV 10 mg per day for 48 weeks. Multiple logistic regression analyses were used to investigate baseline factors, and responses at weeks 12and 24 were analyzed as predictive values. Results: Multiple regression analyses showed that baseline HBeAg status and HBV DNA levels signifi cantly affected the virological response (VR) (p<0.05), baseline ALT levels were an independent predictor of serological response (SR) (p<0.05) and the body mass index (BMI) may affect the biochemical response (BR)(p<0.05). There was a statistically significant difference in the VR and SR between patients with a primary nonresponse (PNR) at week 12 and those with a VR at week 12 (p<0.01). Additionally, the VR was significantly different between patients with HBV DNA lower than 10^3 copies/mL at week 24 and those with greater than 10^3 copies/mL (p<0.01). Conclusions: Patients with negative HBeAg, lower HBV DNA levels and higher ALT values at baseline are more suitable for ADV treatment, whereas patients with lower BMIs may be more amenable to ALT normalization. Adjustments for treatment strategy should be considered if PNR at week 12 or HBV DNA ≥103 copies/mL at week 24 is observed.
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Mesenchymal Stem Cell Therapy in Acute Liver Failure
Wang Yong-Hong,Chen En-Qiang 거트앤리버 소화기연관학회협의회 2023 Gut and Liver Vol.17 No.5
Acute liver failure (ALF) is a severe liver disease syndrome with rapid deterioration and high mortality. Liver transplantation is the most effective treatment, but the lack of donor livers and the high cost of transplantation limit its broad application. In recent years, there has been no breakthrough in the treatment of ALF, and the application of stem cells in the treatment of ALF is a crucial research field. Mesenchymal stem cells (MSCs) are widely used in disease treatment research due to their abundant sources, low immunogenicity, and no ethical restrictions. Although MSCs are effective for treating ALF, the application of MSCs to ALF needs to be further studied and optimized. In this review, we discuss the potential mechanisms of MSCs therapy for ALF, summarize some methods to enhance the efficacy of MSCs, and explore optimal approaches for MSC transplantation.
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Yi-Qing Ni,Wen-Qiang Liu,En-Ze Rui,Lei Yuan,Si-Yi Chen,You-Liang Zheng 국제구조공학회 2023 Smart Structures and Systems, An International Jou Vol.31 No.4
To assess structural condition in a non-destructive manner, computer vision-based structural health monitoring (SHM) has become a focus. Compared to traditional contact-type sensors, the advantages of computer vision-based measurement systems include lower installation costs and broader measurement areas. In this study, we propose a novel computer vision-based vibration measurement and coarse-to-fine damage assessment method for truss bridges. First, a deep learning model FairMOT is introduced to track the regions of interest (ROIs) that include joints to enhance the automation performance compared with traditional target tracking algorithms. To calculate the displacement of the tracked ROIs accurately, a normalized cross-correlation method is adopted to fine-tune the offset, while the Harris corner matching is utilized to correct the vibration displacement errors caused by the non-parallel between the truss plane and the image plane. Then, based on the advantages of the stochastic damage locating vector (SDLV) and Bayesian inference-based stochastic model updating (BISMU), they are combined to achieve the coarse-to-fine localization of the truss bridge's damaged elements. Finally, the severity quantification of the damaged components is performed by the BI-SMU. The experiment results show that the proposed method can accurately recognize the vibration displacement and evaluate the structural damage.
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