Prolonged Negative HCV-RNA Status Led to a Good Outcome in Chronic Hepatitis C Patients with Genotype 1b and Super-High Viral Load

Intervirology ◽  
2006 ◽  
Vol 49 (6) ◽  
pp. 362-369 ◽  
Author(s):  
Hiroshi Kohno ◽  
Shiomi Aimitsu ◽  
Mikiya Kitamoto ◽  
Yasuyuki Aisaka ◽  
Hiroiku Kawakami ◽  
...  
Kanzo ◽  
2009 ◽  
Vol 50 (12) ◽  
pp. 687-702
Author(s):  
Noritomo Shimada ◽  
Kai Yoshizawa ◽  
Makiko Ika ◽  
Akira Dobashi ◽  
Naoto Nomura ◽  
...  

2000 ◽  
Vol 38 (8) ◽  
pp. 2933-2939 ◽  
Author(s):  
Ming-Lung Yu ◽  
Wan-Long Chuang ◽  
Chia-Yen Dai ◽  
Shinn-Cherng Chen ◽  
Zu-Yau Lin ◽  
...  

A second-generation hepatitis C virus (HCV) quantitative assay (COBAS AMPLICOR HCV MONITOR Test, version 2.0; COBAS HCM-2) has been developed, with the intention of achieving equivalent quantification of all HCV genotypes and improving assay performance. To evaluate the clinical performance of COBAS HCM-2 and its utility in predicting the response to alpha interferon treatment, sera from 215 chronic hepatitis C patients were analyzed and the results were compared with those obtained by the Quantiplex bDNA HCV RNA, version 2.0, assay (bDNA-2). The COBAS HCM-2 had significantly greater sensitivity than bDNA-2 (94.9 versus 88.4%; P < 0.001) when performed with sera from chronic hepatitis C patients who were viremic by a qualitative PCR test. The standard deviations for the within-run and between-run reproducibilities of COBAS HCM-2 were <0.1 and <0.2, respectively, and it showed an improved linear range between genotypes with the threefold serial dilutions tested (r 2 = 0.986 to 0.995). The COBAS HCM-2 results were positively correlated with the bDNA-2 results, but the values for COBAS HCM-2 were on average 0.96 log lower than the values for bDNA-2. The mean difference in quantification values between these two assays did not differ among samples with different genotypes (0.70 to 1.00 log). No genotype-dependent difference in viral load was observed. The pretreatment viral load was significantly lower in complete responders. By using multivariate analysis, the viral load 2 weeks after the initiation of alpha interferon treatment was the strongest predictor of a complete response. In conclusion, COBAS HCM-2 demonstrated good sensitivity, linearity, and reproducibility and efficiency equal to that of bDNA-2 for the quantification of HCV genotypes 1 and 2. Hence, this assay provides a rapid and reliable method for the quantification of HCV RNA in serum and is useful for the planning of interferon treatment.


2020 ◽  
Vol 25 (3) ◽  
pp. 347-353
Author(s):  
Yasemin Derya Gülseren ◽  
Fatma Esenkaya Taşbent ◽  
Mehmet Özdemir ◽  
Bahadır Feyzioğlu

Introduction: In case of chronic hepatitis C infection, cirrhosis and hepatocellular carcinoma may progress. HCV genotypes and subtypes have been found to vary according to geographical regions. In addition to its epidemiological importance, HCV genotype is an important factor in determining the response and duration of treatment. In this study, it was aimed to determine the genotype distribution in our region. Materials and Methods: The results of 241 patients with HCV RNA positivity detected in our laboratory Molecular unit between 2016 and 2018 were retrospectively screened. HCV-RNA extraction for genotyping was performed by automated system (EZ1 Virus Mini Kit v.2.0, Germany), and ‘’line probe assay’’ (LIPA) based on reverse hybridization method was applied. HCV-RNA levels were determined by real-time PCR method (Artus HCV QS-RGQ kit, Qiagen, Germany). Results: Two hundred and forty-one patients were included in the study, and 116 (48%) were females and 125 (52%) were males. Mean age was 56.1 ± 19.4 (range: 16-90) years. Mean logarithmic viral load value was 5.7 ± 0.9 IU/ml (range; 2.71 x 102-17 x 106), mean value of AST was 50.5 ± 43.7 IU/ml and mean ALT value was 63.4 ± 63.5 IU/ml. Genotype 1b was detected in 58.9% of the patients, genotype 3a in 14.1%, genotype 1a in 13.27%, genotype 2b in 4.1%, genotype 4a in 1.2%. The subtypes could not be determined for 4.9%, 1.2%, 1.6% and 0.4% of infected patient in genotype 1,2,4 and 5 respectively. Conclusion: In our study, genotype 1b (58.9%) was found as the dominant genotype. This was followed by genotype 3a (14.1%). In patients infected with genotype 1, viral load value was found to be significantly higher than other genotypes. Monitoring genotype change is important for determining treatment protocols and duration.


Author(s):  
Nadhya Allia ◽  
Poernomo Boedi Setiawan ◽  
Soebagijo Adi Soelistijo

Background: Insulin resistance (IR) is one of the extrahepatic complications of hepatitis C virus (HCV) infection that needs to be recognized early. HOMA-IR is an effective way to measure insulin resistancy. Core proteins, NS-3, and NS-5 are the main components of HCV RNA proteins which are involved in the incidence of IR. Seeing this, a hypothesis was developed that the level of HCV RNA viral load was related to the HOMA-IR. This study was designed to identify the correlation between HCV RNA viral load with HOMA-IR in chronic hepatitis C patients.Method: We conducted a cross-sectional approach from the medical record of chronic hepatitis C patients at the outpatient clinic dr. Soetomo Hospital, Surabaya. A total of 30 patients aged >19 years old with complete medical records were included. Clinical and laboratory (including HCV RNA viral load level and HOMA-IR) data were obtained from the availability of medical records.Result: A total of 30 chronic hepatitis C patients, 17 (56.7%) were women and 13 (43.3%) were men, with mean age was 50.90 ± 7.17 years. The median of HCV RNA viral load level was 3,14 x106 IU/ml and the median of HOMA-IR was 4.50. The result of the Spearman correlation test showed a moderate positive association between HCV RNA viral load and HOMA-IR (r=0.537 ; p=0.002).Conclusion: A positive moderate correlation was obtained between HCV RNA viral load with HOMA-IR in chronic hepatitis C patients.


2012 ◽  
Vol 42 (10) ◽  
pp. 949-957 ◽  
Author(s):  
Yasuji Arase ◽  
Yusuke Kawamura ◽  
Yoshiyuki Suzuki ◽  
Fumitaka Suzuki ◽  
Norio Akuta ◽  
...  

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