Suppr超能文献

Clinical backgrounds of the patients having different types of hepatitis C virus genomes.

作者信息

Takada N, Takase S, Enomoto N, Takada A, Date T

机构信息

Department of Internal Medicine, Kanazawa Medical University, Ishikawa, Japan.

出版信息

J Hepatol. 1992 Jan;14(1):35-40. doi: 10.1016/0168-8278(92)90128-c.

Abstract

Hepatitis C virus (HCV) genomes were recently detected in biological materials, and variations of nucleotide sequences were reported. In the present study, typing of the HCV genomes was performed in 91 HCV-RNA-positive patients and the clinical features of patients with different types of HCV were compared. From the nucleotide sequences of the cDNA fragments, HCV can be divided into at least two types: HCV-K1-PT and HCV-K2. All cDNAs amplified from 91 patients were hybridized with cDNA probes of either HCV-K1-PT or HCV-K2. HCV-K1-PT was found in about 80% of the patients, and HCV-K2 was found in about 20% of the patients. These results indicate that types of HCV are limited to two types, i.e., K1-PT and K2, and the major type is HCV-K1-PT, at least in Japan. Detection rate of antibodies to C-100-3 protein were not different between the patients having HCV-K1-PT and HCV-K2, indicating that the antibodies may develop in HCV-related patients without relation to the types of the HCV genomes. Prevalence of the two types of HCV were nearly the same in various forms of NANB-related liver disease. However, the prevalence was somewhat different in alcoholic liver disease. HCV-K2 was found in patients younger than the patients with HCV-K1-PT. Frequency of a history of blood transfusion tended to be lower and the initial response to interferon treatment was clearly better in patients having HCV-K2 versus patients having HCV-K1-PT. These results suggest the possibility that clinical features due to HCV-K1 may be somewhat different from those due to HCV-K1-PT. However, the number of patients examined was too small to allow a definite conclusion, indicating a necessity for further study with a larger number of patients.

摘要

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验