Genotyping of hepatitis C virus types 1, 2, 3, and 4 by a one-step LightCycler method using three different pairs of hybridization probes

Monitoring the Transcriptional Activity of Human Endogenous Retroviral HERV-W Family Using PNA Strand Invasion into Double-Stranded DNA

In the presented assay, we elaborated a method for distinguishing sequences that are genetically closely related to each other. This is particularly important in a situation where a fine balance of the allele abundance is a point of research interest. We developed a peptide nucleic acid (PNA) strand invasion technique for the differentiation between multiple sclerosis-associated retrovirus (MSRV) and ERVWE1 sequences, both molecularly similar, belonging to the human endogenous retrovirus HERV-W family. We have found that this method may support the PCR technique in screening for minor alleles which, in certain conditions, may be undetected by the standard PCR technique. We performed the analysis of different ERVWE1 and MSRV template mixtures ranging from 0 to 100% of ERVWE1 in the studied samples, finding the linear correlation between template composition and signal intensity of final reaction products. Using the PNA strand invasion assay, we were able to estimate the relative ERVWE1 expression level in human specimens such as U-87 MG, normal human astrocytes cell lines and placental tissue. The results remained in concordance with those obtained by semi-quantitative or quantitative PCR.

Genotyping & diagnostic methods for hepatitis C virus: A need of low-resource countries

Hepatitis C virus (HCV) infection is a blood borne and transfusion-transmitted infection (TTI). It has emerged as one of the major health challenges worldwide. In India, around 12-18 million peoples are infected with HCV, but in terms of prevalence percentage, its looks moderate due to large population. The burden of the HCV infection increases due to lack of foolproof screening of blood and blood products before transfusion. The qualified screening and quantification of HCV play an important role in diagnosis and treatment of HCV-related diseases. If identified early, HCV infection can be managed and treated by recently available antiviral therapies with fewer side effects. However, its identification at chronic phase makes its treatment very challenging and sometimes ineffective. The drugs therapy for HCV infection treatment is also dependent on its genotype. Different genotypes of HCV differ from each other at genomic level. The RNA viruses (such as HCV) are evolving perpetually due to interaction and integration among people from different regions and countries which lead to varying therapeutic response in HCV-infected patients in different geographical regions. Therefore, proper diagnosis for infecting virus and then exact determination of genotype become important for targeted treatment. This review summarizes the general information on HCV, and methods used for its diagnosis and genotyping.

Subtyping of hepatitis C virus with high resolution mass spectrometry

A proteotyping approach using high resolution mass spectrometry has been applied, for the first time, to subtype the hepatitis C virus based upon detection of one or more signature peptides derived from the E1 and E2 envelope glycoproteins. These signature peptides represent conserved peptide segments within these proteins for particular subtypes of the virus that are found to be unique in mass when compared with the theoretical masses for all peptide segments of translated HCV proteins within a specifically constructed database. The successful application of the approach to three different subtypes of the virus (i.e., 1a, 1b and 2b) is demonstrated for protein and whole virus proteolytic digests. The approach has the potential to replace existing PCR-based subtyping by offering a more direct and cost comparable strategy that is not challenged by mixed infection scenarios.

Development and validation of a real-time, reverse transcription PCR assay for rapid and low-cost genotyping of hepatitis C virus genotypes 1a, 1b, 2, and 3a

Hepatitis C virus (HCV) infection affects millions of people and leads to liver fibrosis, cirrhosis, and hepatocellular carcinoma. Treatment regimen selection requires HCV genotype (Gt) and Gt 1 subtype determination. Use of a laboratory developed, reverse transcription (RT)-PCR assay was explored as a low-cost, high-throughput screening approach for the major HCV genotypes and subtypes in North America. A commercial line probe assay (LiPA) was used for comparison. Sequencing and/or an alternative PCR assay were used for discordant analyses. Testing of 155 clinical samples revealed that a paired, duplex real-time RT-PCR assay that targets Gts 1a and 3a in one reaction and Gts 1b and 2 in another had 95% overall sensitivity and individual Gt sensitivity and specificity of 98-100% and 85-98%, respectively. The RT-PCR assay detected mixed HCV Gts in clinical and spiked samples and no false-positive reactions occurred with rare Gts 3b, 4, 5, or 6. Implementation of the RT-PCR assay, with some reflex LiPA testing, would cost only a small portion of the cost of using LiPA alone, and can also save 1.5h of hands-on time. The use of a laboratory developed RT-PCR assay for HCV genotyping has the potential to reduce cost and labour burdens in high-volume testing settings.

Molecular Assay and Genotyping of Hepatitis C Virus among Infected Egyptian and Saudi Arabian Patients

Hepatitis C virus (HCV) infection is a major health problem recognized globally. HCV is a common cause of liver fibrosis that may lead to liver cirrhosis or hepatocellular carcinoma. The aim of this study was to estimate the prevalence of HCV infection and genotyping among Egyptian and Saudi Arabian chronic patients using different molecular techniques. HCV RNA viral load was assessed by real-time polymerase chain reaction (RT-PCR) technology. For HCV genotyping, RT-PCR hybridization fluorescence-based method and reverse hybridization line probe assay (INNO-LiPA) were used. A total of 40 anti-HCV-positive patients with chronic hepatitis C were examined for HCV RNA, genotyping, and different laboratory investigations. In the present study, HCV genotypes 4, mixed 4.1b, and 1 were detected in patients of both countries, while genotype 2 was only detected in Saudi Arabian patients. Genotyping methods for HCV showed no difference in the classification at the genotype level. With regard to HCV subtypes, INNO-LiPA assay was a reliable test in HCV genotyping for the detection of major genotypes and subtypes, while RT-PCR-based assay was a good test at the genotype level only. HCV genotype 4 was found to be the predominant genotype among Egyptian and Saudi Arabian chronic patients. In conclusion, data analysis for detecting and genotyping HCV was an important factor for understanding the epidemiology and treatment strategies of HCV among Egyptian and Saudi Arabian chronic patients.

Rapid detection of HCV genotyping 1a, 1b, 2a, 3a, 3b and 6a in a single reaction using two-melting temperature codes by a real-time PCR-based assay

The genotype of the hepatitis C virus (HCV) is an important indicator for antiviral therapeutic response. We hereby described development of a rapid HCV genotyping approach that enabled the identification of the six most common HCV subtypes of Asia, i.e., 1a, 1b, 2a, 3a, 3b, and 6a, in a single reaction. Using two dual-labeled, self-quenched probes that target the core region of the HCV genome, the exact subtype could be accurately identified by two-melting temperature codes determined from the two respective probes in a real-time PCR assay. Analytical sensitivity studies using armored RNA samples representing each of the six HCV subtypes showed that 5 copies/reaction of HCV RNA could be detected. The assay was evaluated using 244 HCV-positive serum samples and the results were compared with sequencing analysis. Of the 224 samples, subtype 3a (127, 52.3%) was the dominant, followed by 1b (51, 20.9%), 3b (47, 19.3%), 2a (8, 3.3%), 6a (4, 1.6%) and the least was subtype 1a (1, 0.4%). Moreover, 6 (2.5%) mixed infection samples were also detected. These results were fully concordant with sequencing analysis. We concluded that this real-time PCR-based assay could provide a rapid and reliable tool for routine HCV genotyping in most Asian countries.

Novel single-step multiplex real-time polymerase chain reaction assay for simultaneous quantification of hepatitis virus A, B, C, and E in serum

BACKGROUND AND AIM

Viral hepatitis needs an earliest diagnosis for its proper and timely treatment. Although serodiagnosis of viral hepatitis is in regular practice, however, it has certain limitations and points to alternate procedures of diagnosis. Present study was designed to develop a single-step multiplex real-time polymerase chain reaction (PCR) assay for detection of hepatitis A virus (HAV), hepatitis B virus (HBV), hepatitis C virus (HCV) and hepatitis E virus (HEV) related nucleic acids in sera from infected patients.

METHODS

The PCR was standardized to detect HAV, HBV, HCV and HEV in serum using variables including annealing temperature, extension temperature, MgCl2 , and primer concentrations. The conserved regions of all viral genomes were used as targets for amplification.

RESULTS

This novel assay was found to be a fast, sensitive, specific, and reproducible system for detection of HAV, HBV, HCV, and HEV in serum. The detection limit for different viral genomes at 100% level was found to be 280 copies/mL for HAV, 290 copies/mL for HBV, 30 copies/mL for HCV, and 300 copies/mL for HEV in a single-tube assay system.

CONCLUSION

Present multiplex real-time PCR is the first report on single-step nucleic acid detection of HAV, HBV, HCV, and HEV in sera samples. It is an alternate diagnostic assay for common use in laboratories analyzing viral hepatitis cases.

Introduction of an automated system for the diagnosis and quantification of hepatitis B and hepatitis C viruses

Hepatitis B virus (HBV) and Hepatitis C virus (HCV) infections pose major public health problems because of their prevalence worldwide. Consequently, screening for these infections is an important part of routine laboratory activity. Serological and molecular markers are key elements in diagnosis, prognosis and treatment monitoring for HBV and HCV infections. Today, automated chemiluminescence immunoassay (CLIA) analyzers are widely used for virological diagnosis, particularly in high-volume clinical laboratories. Molecular biology techniques are routinely used to detect and quantify viral genomes as well as to analyze their sequence; in order to determine their genotype and detect resistance to antiviral drugs. Real-time PCR, which provides high sensitivity and a broad dynamic range, has gradually replaced other signal and target amplification technologies for the quantification and detection of nucleic acid. The next-generation DNA sequencing techniques are still restricted to research laboratories.The serological and molecular marker methods available for HBV and HCV are discussed in this article, along with their utility and limitations for use in Chronic Hepatitis B (CHB) diagnosis and monitoring.

Comparative performance evaluation of hepatitis C virus genotyping based on the 5' untranslated region versus partial sequencing of the NS5B region of brazilian patients with chronic hepatitis C

Background

Genotyping of hepatitis C virus (HCV) has become an essential tool for prognosis and prediction of treatment duration. The aim of this study was to compare two HCV genotyping methods: reverse hybridization line probe assay (LiPA v.1) and partial sequencing of the NS5B region.

Methods

Plasma of 171 patients with chronic hepatitis C were screened using both a commercial method (LiPA HCV Versant, Siemens, Tarrytown, NY, USA) and different primers targeting the NS5B region for PCR amplification and sequencing analysis.

Results

Comparison of the HCV genotyping methods showed no difference in the classification at the genotype level. However, a total of 82/171 samples (47.9%) including misclassification, non-subtypable, discrepant and inconclusive results were not classified by LiPA at the subtype level but could be discriminated by NS5B sequencing. Of these samples, 34 samples of genotype 1a and 6 samples of genotype 1b were classified at the subtype level using sequencing of NS5B.

Conclusions

Sequence analysis of NS5B for genotyping HCV provides precise genotype and subtype identification and an accurate epidemiological representation of circulating viral strains.

Performance evaluation of the Abbott RealTime HCV Genotype II for hepatitis C virus genotyping

BACKGROUND

The Abbott RealTime hepatitis C virus (HCV) Genotype II (Abbott Molecular Inc.) for HCV genotyping, which uses real-time PCR technology, has recently been developed.

METHODS

Accuracy and sensitivity of detection were assessed using the HCV RNA PHW202 performance panel (SeraCare Life Sciences). Consistency with restriction fragment mass polymorphism (RFMP) data, cross-reactivity with other viruses, and the ability to detect minor strains in mixtures of genotypes 1 and 2 were evaluated using clinical samples.

RESULTS

All performance panel viruses were correctly genotyped at levels of >500 IU/mL. Results were 100% concordant with RFMP genotypic data (66/66). However, 5% (3/66) of the samples examined displayed probable genotypic cross reactivity. No cross reactivity with other viruses was evident. Minor strains in the mixtures were not effectively distinguished, even at quantities higher than the detection limit.

CONCLUSIONS

The Abbott RealTime HCV Genotype II assay was very accurate and yielded results consistent with RFMP data. Although the assay has the advantages of automation and short turnaround time, we suggest that further improvements are necessary before it is used routinely in clinical practice. Efforts are needed to decrease cross reactivity among genotypes and to improve the ability to detect minor genotypes in mixed infections.

Development of hepatitis C virus genotyping by real-time PCR based on the NS5B region

Background

Hepatitis C virus (HCV) genotyping is the most significant predictor of the response to antiviral therapy. The aim of this study was to develop and evaluate a novel real-time PCR method for HCV genotyping based on the NS5B region.

Methodology/Principal Findings

Two triplex reaction sets were designed, one to detect genotypes 1a, 1b and 3a; and another to detect genotypes 2a, 2b, and 2c. This approach had an overall sensitivity of 97.0%, detecting 295 of the 304 tested samples. All samples genotyped by real-time PCR had the same type that was assigned using LiPA version 1 (Line in Probe Assay). Although LiPA v. 1 was not able to subtype 68 of the 295 samples (23.0%) and rendered different subtype results from those assigned by real-time PCR for 12/295 samples (4.0%), NS5B sequencing and real-time PCR results agreed in all 146 tested cases. Analytical sensitivity of the real-time PCR assay was determined by end-point dilution of the 5000 IU/ml member of the OptiQuant HCV RNA panel. The lower limit of detection was estimated to be 125 IU/ml for genotype 3a, 250 IU/ml for genotypes 1b and 2b, and 500 IU/ml for genotype 1a.

Conclusions/Significance

The total time required for performing this assay was two hours, compared to four hours required for LiPA v. 1 after PCR-amplification. Furthermore, the estimated reaction cost was nine times lower than that of available commercial methods in Brazil. Thus, we have developed an efficient, feasible, and affordable method for HCV genotype identification.

Development of an improved genotyping assay for the detection of hepatitis C virus genotypes and subtypes in Pakistan

A new genotyping system was established for the specific detection of HCV genotypes 1a, 1b, 1c, 2a, 2b, 2c, 3a, 3b, 3c, 4a-h, 5a and 6a during the course of this study. The system is based on entire core region and a part of 5' noncoding region (5'NCR) with genotype-specific primers. Genotype-specific primers were designed on the basis of 114 HCV isolates. Serum samples with known genotypes were used as positive controls to validate the assay developed and to generate PCR band patterns. Band patterns generated from the clinical serum samples from HCV patients were compared to the patterns produced from these control samples. In addition, the type-specific bands were sequenced from the test patients and control clinical samples to validate further the test results. To determine sensitivity and specificity of the assay, a total 260 samples were analyzed simultaneously by this HCV genotyping method and that developed by Ohno and Murex HCV Serotyping 1-6 Assay. The system showed 79.2% concordance with Ohno's system and 65.38% with serotyping system. Samples with discordant results were sequenced and their genotypes were determined by molecular evolutionary analysis. The data indicate that the method described in this study may offer better sensitivity and specificity for the detection directly of HCV genotypes present at low levels in HCV patient samples.

Molecular methods of hepatitis C genotyping

Hepatitis C virus is an RNA virus that is associated with chronic infection in the majority of people infected. Chronic infection with hepatitis C virus is the cause of significant morbidity and mortality worldwide and is associated with a large spectrum of liver disease including cirrhosis and hepatocellular carcinoma. End-stage liver disease due to chronic hepatitis C virus infection is currently the leading indication for liver transplantation in the USA. Hepatitis C virus genotyping of viral isolates circulating in the blood during chronic infection has become an important part of hepatitis C virus monitoring in chronically infected patients, and is useful as a prognostic indicator and to direct duration of therapy. This review will summarize information on hepatitis C genotyping, describe the limitations of current commercially available methods, give information on more recently developed methods, and provide a look to the future in terms of where advances in hepatitis C virus genotyping assays need to be made.

Multiplex real-time reverse transcription-PCR assay for determination of hepatitis C virus genotypes

A variety of methods have been used to determine hepatitis C virus (HCV) genotypes. Because therapeutic decisions for chronic HCV-related hepatitis are made on the basis of genotype, it is important that genotype be accurately determined by clinical laboratories. Existing methods are often subjective, inaccurate, manual, time-consuming, and contamination prone. We therefore evaluated real-time reverse transcription-PCR (RT-PCR) reagents that have recently become commercially available (Abbott HCV Genotype ASR). The assay developed by our laboratory starts with purified RNA and can be performed in 4 to 5 h. An initial evaluation of 479 samples was done with a restriction fragment length polymorphism (RFLP) method and the RT-PCR assay, and discrepant samples were sequenced. An additional 1,200 samples were then tested, and data from all assays were used to evaluate the efficiency and specificity of each genotype-specific reaction. Good correlation between results by the two methods was seen. Discrepant samples included those indeterminate by the RT-PCR assay (n = 110) and a subset that were incorrectly called 2a by the RFLP method (n = 75). The real-time RT-PCR assay performed well with genotype 1, 2, and 3 samples. Inadequate numbers of samples were available to evaluate fully genotypes 4, 5, and 6. Analysis of each primer-probe set demonstrated that weak cross-reactive amplifications were common but usually did not interfere with the genotype determination. However, in about 1% of samples, two or more genotypes amplified at roughly equivalent amounts. Further studies are necessary to determine whether these mixed-genotype samples are true mixtures or a reflection of occasional cross-reactive amplifications.

Chronic hepatitis C virus infection: genotyping and its clinical role

Chronic hepatitis C virus (HCV) infection is a worldwide public health problem with a global prevalence of 2%. A high proportion of those infected are at risk of developing cirrhosis and hepatocellular carcinoma and modeling data predicts that the burden of disease could soon increase substantially. The liver disease associated with chronic infection has led investigators to look for correlates between viral properties and disease progression, severity of disease and the response to antiviral therapy. HCV has been classified into six genotypes but genotype does not appear to influence disease presentation or severity of disease. However, genotype has been identified as a major predictor of response to interferon-based antiviral therapy. Antiviral regimens have been optimized for infections with HCV genotypes 1-4, although treatment strategies for genotypes 5 and 6 have yet to be developed. The molecular basis for the differences in response of HCV genotypes has yet to be determined.

A rapid real-time PCR assay for determination of hepatitis C virus genotypes 1, 2 and 3a

The genotypes of hepatitis C virus (HCV) in serum of patients have been described as independent predictors of success of antiviral therapy. Therefore, different antiviral regimens have been proposed depending on the infecting HCV genotype. HCV strain is usually determined by polymerase chain reaction (PCR) amplification of genome followed by sequencing or by line-probe assays. We report a new one step real-time PCR assay for genotyping of HCV strains that are prevalent in patients in Norway. HCV types 1, 2 and 3a were genotyped unambiguously in 37 patient serum samples with 100% correlation to genotyping by nucleotide sequence analysis and line-probe assays. Genotyping could also be confirmed against an HCV genotype panel from the National Institute for Biological Standards and Control. This assay does not require manipulation of amplified PCR products, it involves very little hands on and analysis time. This assay can be used for rapid genotyping of HCV-RNA in infected patients to aid physicians decide suitability of patients for treatment and subsequent length of treatment.

Development of a real-time PCR for detection of Mycoplasma bovis in bovine milk and lung samples

A real-time polymerase chain reaction (PCR) assay using hybridization probes on a LightCycler platform was developed for detection of Mycoplasma bovis from individual bovine mastitis milk and pneumonic lung tissues. The detection limit was 550 colony forming units (cfu)/ml of milk and 650 cfu/25 mg of lung tissue. A panel of bovine Mycoplasma and of other bovine-origin bacteria were tested; only M. bovis strains were positive, with a melting peak of 66.6 degrees C. Mycoplasma agalactiae PG2 was also positive and could be distinguished because it had a melting peak of 63.1 degrees C. In validation testing of clinical samples, the relative sensitivity and specificity were 100% and 99.3% for individual milks and 96.6% and 100% for the lung tissue. Using M. bovis real-time PCR, the M. bovis culture-positive milk samples were estimated to contain between 5 x 10(4) and 7.7 x 10(8) cfu/ml and the M. bovis culture-positive lungs between 1 x 10(3) and 1 x 10(9) cfu/25 mg. Isolation, confirmed with the real-time PCR and colony fluorescent antibody test, showed that at the herd level, the proportion of samples positive for M. bovis isolation in mastitis milk samples submitted to the Mastitis Laboratory, Animal Health Laboratory, University of Guelph, Ontario, Canada, was 2.4% (5/201). We conclude that this probe-based real-time PCR assay is a sensitive, specific, and rapid method to identify M. bovis infection in bovine milk and pneumonic lungs.

A real-time Taqman method for hepatitis C virus genotyping

BACKGROUND

There is the need for a rapid, inexpensive method for genotyping hepatitis C virus (HCV) to support clinical practice.

OBJECTIVES

To develop a real-time (Rotor-Gene 3000) Taqman assay for HCV genotyping in a single tube.

STUDY DESIGN

Seven type-specific probes, two for genotypes 1-3 and one for genotype 4 were designed around genotype-specific motifs in the 5' non-coding (NC) region to create two panels of probes. The first panel included two probes for genotype 1 detection and a single probe each for genotypes 2 and 3. The second panel had two probes for confirmation of genotypes 2 and 3 and a first line probe for genotype 4 detection. A comparative analysis of the Taqman assay against our in-house sequence-based method using 154 consecutive clinical samples, from HCV carriers in Cambridge, and four samples from the Quality Control for Molecular Diagnostics (QCMD) System was undertaken.

RESULTS

158 samples were analysed by conventional sequencing: 49% (n=78) were genotype 1, 11% (n=18) genotype 2, 30% (n=47) genotype 3 and 6% (n=10) genotype 4. For two samples, the sequence data was heterogeneous and difficult to analyse, suggesting mixed infection and for three samples, the viral load was insufficient for sequencing. Concordant results were obtained with the novel Taqman assay for 77/78 (99%) of genotype 1 isolates (positive with both genotype 1 probes), 17/18 (94%) of genotype 2 isolates, 43/47 (91%) of genotype 3 isolates and 10/10 (100%) genotype 4 isolates. One isolate, untypeable with sequencing was genotyped with the Taqman assay.

CONCLUSIONS

The Taqman assay was sensitive, specific and reliable over a wide range of viral loads and could identify mixed infections. These results highlight the potential of the Taqman assay as a fast, accurate and convenient method for routine HCV genotyping.

Genotyping of hepatitis C virus by Taqman real-time PCR

BACKGROUND

Genotype of hepatitis C virus (HCV) is of major importance for the outcome of treatment. The response rate is considerably lower for genotype 1, the predominant genotype in western countries.

OBJECTIVES

To develop and evaluate a new, simple method for genotyping of HCV based on real-time polymerase chain reaction (PCR) and Taqman probes targeting the 5' non-coding region.

STUDY DESIGN

The method was compared with Innolipa on 220 serum samples representing genotypes 1-4, and was applied on a further 614 clinical samples.

RESULTS

Taqman typing of the 220 samples showed genotype 1 in 69, genotype 2 in 58, genotype 3 in 57 and genotype 4 in 19, while 17 were non-reactive. There was a complete concordance with Innolipa with the exception of seven samples, which were of genotype 1 by Taqman, but genotype 4 by Innolipa. Sequencing of these samples showed a subtype 4 variant which differed at two positions compared with subtypes 4b/c/d, which are targeted by the probe. By adding a modified probe, these genotype 4 variants could also be identified. Out of 614 consecutive clinical samples, 524 could be typed by the Taqman assay; 45.2% were genotype 1, 19.3% genotype 2, 33.8% genotype 3 and 1.7%, genotype 4.

CONCLUSION

The method was overall accurate and provides an attractive alternative for genotyping because processing time and costs are significantly reduced. Inclusion of probes targeting genotypes 5 and 6 is required for the method to be useful in areas where these genotypes are present.

Real-time PCR in clinical microbiology: applications for routine laboratory testing

Real-time PCR has revolutionized the way clinical microbiology laboratories diagnose many human microbial infections. This testing method combines PCR chemistry with fluorescent probe detection of amplified product in the same reaction vessel. In general, both PCR and amplified product detection are completed in an hour or less, which is considerably faster than conventional PCR detection methods. Real-time PCR assays provide sensitivity and specificity equivalent to that of conventional PCR combined with Southern blot analysis, and since amplification and detection steps are performed in the same closed vessel, the risk of releasing amplified nucleic acids into the environment is negligible. The combination of excellent sensitivity and specificity, low contamination risk, and speed has made real-time PCR technology an appealing alternative to culture- or immunoassay-based testing methods for diagnosing many infectious diseases. This review focuses on the application of real-time PCR in the clinical microbiology laboratory.

Population Genotyping of Hepatitis C Virus by Matrix-Assisted Laser Desorption/Ionization Time-of-Flight Mass Spectrometry Analysis of Short DNA Fragments

Background: Identifying hepatitis C virus (HCV) genotypes has become increasingly important for determining clinical course and the outcome of antiviral therapy. Here we describe the development of restriction fragment mass polymorphism (RFMP) analysis, a novel matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS) assay suitable for high-throughput, sensitive, specific genotyping of multiple HCV species.

Methods: The assay is based on PCR amplification and mass measurement of oligonucleotides containing genotype-specific motifs in the 5′ untranslated region, into which a type IIS restriction endonuclease recognition was introduced by PCR amplification. Enzymatic cleavage of the products led to excision of multiple oligonucleotide fragments representing variable regions whose masses were determined by MALDI-TOF MS.

Results: The RFMP assay identified viral genotypes present at concentrations as low as 0.5% and reliably determined their relative abundance. When sera from 318 patients were analyzed, the RFMP assay exhibited 100% concordance with results obtained by clonal sequencing and identified mixed-genotype infections in 22% of the samples, in addition to several subtype variants.

Conclusions: The RFMP assay has practical advantages over existing methods, including better quantitative detection of mixed populations and detection of genotype variants without need for population-based cloning, enabling reliable viral genotyping in laboratories and efficient study of the relationship between viral genotypes and clinical outcome.

Hepatitis C genotyping by denaturing high-performance liquid chromatography

Determination of the hepatitis C virus (HCV) genotype for infected patients increasingly has become accepted as the standard of care. Genotype assignment helps in assessing disease prognosis and assists in establishing the appropriate duration of treatment. The great genetic diversity of HCV, with 11 major genotypes and >70 subtypes, contributes to the technical difficulty of genotype testing. While the "gold standard" for testing is nucleic acid sequencing, a variety of hybridization assays, including the line probe assay, have been developed to provide more rapid and accessible forms of testing. The aim of this study was to determine whether denaturing high-performance liquid chromatography (dHPLC) could be used as a clinical method for distinguishing HCV genotypes 1, 2, 3, and 4. A portion of the 5' untranslated region of the HCV genome was amplified by heminested multiplex reverse transcription PCR. The two amplicons then were analyzed by dHPLC analysis and compared to the genotypes determined by sequence analysis. After 115 specimens were analyzed as standards, 200 masked specimens (specimens whose identity was not known before testing) were analyzed to determine the concordance of the assay. The assay had a concordance of 96% at the genotype level and a concordance of 87% at the subtype level. However, the dHPLC method was not as accurate as other reported methods of HCV genotyping. This is the first time that HCV genotyping has been performed by dHPLC.

Clinical evaluation of two methods for genotyping hepatitis C virus based on analysis of the 5' noncoding region

We compared the performance characteristics of a standardized direct sequencing method (TRUGENE HCV 5'NC; Visible Genetics Inc., Toronto, Ontario, Canada) and a reverse hybridization line probe assay (INNO-LiPA HCV II; Bayer Corp., Tarrytown, N.Y.) for genotyping of hepatitis C virus (HCV). Both methods are based on detection of sequence heterogeneity in the 5' noncoding (5'NC) region. Concordance between the genotyping methods was assessed by testing 172 samples representing the six major genotypes. Sequence analysis of the more phylogenetically informative nonstructural 5B (NS5B) region was also done with 148 (86%) samples to confirm the accuracy of and resolve discrepancies between the 5'NC genotyping results. The sensitivities of the methods were assessed by using the 5'NC amplicon from both the qualitative and quantitative AMPLICOR HCV tests (Roche Diagnostics Corp., Indianapolis, Ind.). The ability of the methods to detect mixed-genotype infections was determined with mixtures of two different genotypes at relative concentrations ranging from 1 to 50%. Both 5'NC methods were able to genotype 99.4% of the samples with type agreement for 99.5% and subtype agreement for 68.2% of the samples. No or ambiguous subtype results were found by the line probe assay for 16.5% and by the TRUGENE 5'NC test for 17.1% of the samples. Discrepancies occurred between the line probe assay and NS5B results at the type level for 1.4% of the samples and at the subtype level for 14.2% of the samples. Discrepancies also occurred between the TRUGENE 5'NC and NS5B results at the type level for 2% of the samples and at the subtype level for 8.1% of the samples. We also found two distinct strains of HCV classified as type 2 by analysis of the 5'NC region that were type 1 by analysis of the NS5B region. The sensitivities of the two 5'NC genotyping methods were comparable and dependent on the amplification test used ( approximately 10(3) IU/ml with the qualitative HCV RNA tests and approximately 10(5) IU/ml with the quantitative HCV RNA tests). Genotype mixtures were successfully identified at a relative concentration of 5% by the line probe assay and 10% by the TRUGENE 5'NC test. In conclusion, the performance characteristics of the 5'NC methods were similar and both methods produced accurate results at the genotype level but neither method should be used for subtyping.

Hepatitis C Genotype Determination by Melting Curve Analysis with a Single Set of Fluorescence Resonance Energy Transfer Probes

Background: The genotype of hepatitis C virus (HCV) is a predictor of antiviral therapeutic response. We describe an approach for HCV genotype determination by real-time PCR and melting curve analysis.

Methods: After automated nucleic acid extraction, we used reverse transcription-PCR in a block cycler to amplify nucleotides 6–329 of the 5′-untranslated region of HCV. The product was further amplified by single-tube real-time seminested PCR in a LightCyclerTM instrument (Roche). The final product was analyzed by melting curves with the use of fluorescence resonance energy transfer (FRET) probes. The FRET sensor probe was directed at nucleotides 151–170 of type 1 HCV and was designed to distinguish types 1a/b, 2a/c, 2b, 3a, and 4, with melting temperatures (Tms) predicted to differ by 1 °C. Genotypes were compared in a blinded fashion with those of the INNO-LiPATM test (Bayer Diagnostics) on 111 serum samples.

Results: In preliminary experiments, the Mg2+ concentration was found to be critical in allowing clear separation of melting points, with the best separation at a Mg2+ concentration of 2 mmol/L. The results for 111 samples clustered at expected Tms for genotypes 1a/b (n = 78), 2a/c (n = 2), 2b (n = 11), 3a (n = 14), and 4 (n = 2). Of the 111 samples, results for 110 were concordant with the comparison method at the level of type 1, 2, 3, or 4. Subtyping results were discordant for two samples, both of type 2. For 108 samples concordant with INNO-LiPA at the genotype and subtype levels, the mean Tms were 64.1, 59.5, 54.2, 52.6, and 50.1 °C for types 1a/b, 2a/c, 4, 2b, and 3a, respectively, with SDs of 0.2, 0.3, 0.3, 0.2, and 0.3 °C. All 78 samples identified as type 1 were concordant with results of the comparison method.

Conclusions: Melting analysis with a single pair of FRET probes can rapidly provide information about HCV genotypes and identifies type 1 samples with high specificity.