• Journal of Microbiology and Biotechnology
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• 제17권4호
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• pp.701-704
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• 2007

This report describes the full-length sequences of 2HBV clones from a hepatocellular carcinoma (HCC) patient, one with preC mutation (1896A) and the other without preC mutation. The high level of discrepancy in mutation frequency between these 2 strains was observed in the Core (C) region among 4 ORFs. These data support previous results that Korean HBV strains, belonging to genotype C2, are prone to mutations. It is possible that the mutations (BCP and preC mutations) associated with the HBeAg defective production might contribute to the diversity of mutations related to HBV persistence, playing an important role in hepatocarcinogenesis in this patient.

• Journal of Preventive Medicine and Public Health
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• 제33권3호
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• pp.323-333
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• 2000

Objectives : Chronic HBsAg carriers are the principal source of infection for other susceptible people, and are themselves at high risk of developing serious liver diseases. In Korea, it has been estimated that 65-75% of the HBsAg positives remained as persistent carriers. Additionally, familial clustering of MBV infection has frequently been observed among carriers. Some would become progressive, chronic hepatitis patients, and others would not. The aim of this study was to evaluate the association between various factors, such as the duration of infection, type of virus, mutation of precore/core region in HBV, major histocompatibility class-I, and developing chronic liver diseases among familial HBV carriers. Methods : Chronic carrier status was identified by repeated serological tests for HBsAg at intervals of six months or more. A familial chronic carrier was defined when the disease was observed in a family member over two generations. Two families were recruited, among which a total of 20 chronic HBsAg carriers(11 carriers in No.1, and 9 in No.2 family) were identified. Data on the general characteristics and liver disease status were collected. Identification of the HBV-DNA was successful only for 13 subjects among the 20 carriers. Analysis of viral DNA in terms of subtype, pre-core and core region mutations was carried out. The type of major histocompatibility class-1 for the 13 subjects was also analysed. Results & Conclusions : Seven of 10 chronic HBV carriers of the 1st generation and one of 10 of the 2nd generation were clinical patients with chronic hepatitis, the others, three of the 1 st and nine of the 2nd generation, were asymptomatic carriers. This data indicates that the duration of HBV carriage is one of the major factors for disease severity. The subtype of HBsAg analysed using MBV-DNA identified in 13 carriers were adr, and the pattern of precore nonsense mutation in HBV-DNA was identical among family members, which meads that the same virus strains were transmitted between the family members. The association between the precore or core mutations in HBV-DNA and the disease severity was not observed. While it was suggested that a specific type of MHC class-I may be related to disease progression.

• 생명과학회지
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• 제32권2호
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• pp.94-100
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• 2022

B형간염바이러스(HBV)의 만성 감염은 간경화와 간세포암 발생 빈도를 현저히 높인다. HBV 감염의 임상적 결과는 숙주 유전적 요인과 바이러스의 유전자 변이, 그리고 환경적 요인 등에 결정된다. HBV 복제를 위한 HBV의 pre-genomic RNA 전사는 바이러스의 core promoter 활성화에 의해 조절된다. Core promoter 돌연변이는 급성간 질환과 간세포암 발생에 연관되어 있다. 본 연구팀은 미얀마의 HBV 감염 환자들로부터 바이러스 유전자를 획득하여 core promoter 부위의 유전자 변이들을 파악하였다. Core promoter의 상대적 유전자 활성 차이를 분석하기 위해서 core promoter를 luciferase reporter에 재조합한 시스템을 제작하였다. 분석한 core promoter의 유전자 변이들 중에서 C1731T와 G1806A 돌연변이가 HBV core promoter의 전사 활성화를 증가에 관여하였다. 돌연변이 부위를 중심으로 전사 인자들의 가능한 결합 부위 변화를 컴퓨터 프로그램 분석을 통해 조사한 결과, C/EBPβ와 XBP1 반응 부위가 새롭게 생성되었음을 도출하였다. C/EBPβ의 세포 내 발현은 C1713T 돌연변이를 가진 core promoter의 전사 활성을 증가시켰으며, XBP1 발현은 G1806A 돌연변이를 함유한 M95 promoter를 활성을 증가시켰다. HBV 감염의 치료는 약제 내성과 백신 회피 돌연변이 발생으로 문제점을 가지고 있는 상황에서, 이 연구 결과는 HBV core promoter 돌연변이의 분자생물학적 그리고 임상학적 중요성을 제공한다.

• International Journal of Computer Science & Network Security
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• 제22권10호
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• pp.73-82
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• 2022

Early detection continues to be the mainstay of breast cancer control as well as the improvement of its treatment. Even so, the absence of cancer symptoms at the onset has early detection quite challenging. Therefore, various researchers continue to focus on cancer as a topic of health to try and make improvements from the perspectives of diagnosis, prevention, and treatment. This research's chief goal is development of a system with deep learning for classification of the breast cancer as non-malignant and malignant using mammogram images. The following two distinct approaches: the first one with the utilization of patches of the Region of Interest (ROI), and the second one with the utilization of the overall images is used. The proposed system is composed of the following two distinct stages: the pre-processing stage and the Convolution Neural Network (CNN) building stage. Of late, the use of meta-heuristic optimization algorithms has accomplished a lot of progress in resolving these problems. Teaching-Learning Based Optimization algorithm (TIBO) meta-heuristic was originally employed for resolving problems of continuous optimization. This work has offered the proposals of novel methods for training the Residual Network (ResNet) as well as the CNN based on the TLBO and the Genetic Algorithm (GA). The classification of breast cancer can be enhanced with direct application of the hybrid TLBO- GA. For this hybrid algorithm, the TLBO, i.e., a core component, will combine the following three distinct operators of the GA: coding, crossover, and mutation. In the TLBO, there is a representation of the optimization solutions as students. On the other hand, the hybrid TLBO-GA will have further division of the students as follows: the top students, the ordinary students, and the poor students. The experiments demonstrated that the proposed hybrid TLBO-GA is more effective than TLBO and GA.