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

Prevalence and risk factors of hepatitis B and C in Bahawalpur: a hospital-based study

Hepatitis causes inflammation of the liver. The World Health Organization set a goal to eliminate viral hepatitis by 2030 due to an increase in the number of deaths from liver cirrhosis and hepatocellular carcinoma. The present study aimed to determine the prevalence of hepatitis B and C among the general population of Bahawalpur, along with various recognized risk factors. Samples were collected from December 2021 to May 2022. In total, 263 blood samples were collected from the patients who visited Bahawalpur Victoria Hospital, Bahawalpur Pakistan. A rapid diagnostic test (ICT) was used to diagnose Hepatitis B surface antigen and anti-HCV, followed by an enzyme-linked immunosorbent assay (ELISA). The data were analyzed using IBM SPSS version 22. In total, 263 samples were tested; 5.3% (14/263) tested positive for HBV, 25.4% (67/263) tested positive for HCV, and 0.76% (2/263) were co-infected. The study found a significant association between illiteracy 24% (63/263) and literacy 7.6% (20/263) (P = 0.001), age (31-40 years) 11% (29/263) (P = 0.027), hospitalization 38% (100/263) versus non-hospitalization 62% (163/263) (P = 0.008), and patients who had received any dental treatment 20.9% (55/263) versus those who had not 79.1% (208/263) (P = 0.057). According to the study, people who frequently visited hospitals received no medical care and were unaware of the causes of disease transmission, made them more susceptible to infection. The study will help formulate policies and adopt precautionary measures to control the increasing incidence of hepatitis B and C in Pakistan.

Prevalence of hepatitis C virus genotypes in HIV positive patients referring to the consultation center for behavioral diseases, Sanandaj, Iran

Background and Objectives:

Co-infection of hepatitis C virus (HCV) with human immunodeficiency virus (HIV) is increasing due to similar transmission pathways. Chronic HCV infection is the most common complication among HIV-infected individuals. Information on the frequency of HCV infection on Iranian HIV-infected individuals is scarce. The aim of this study was the detection of HCV prevalence and genotypes among HIV-infected people in Sanandaj, Iran.

Materials and Methods:

In this cross-sectional study, whole blood samples were taken from 185 HIV positive individuals referring to Consultation Center for Behavioral Diseases, Sanandaj, Iran. The ELISA test was done on samples for anti-HCV antibodies. RNA was extracted from only anti-HCV antibody positive samples. An RT-PCR test was conducted to detect HCV RNA. Genotypes of HCV were detected by melting curve analysis by specific primers and probes. Test results and demographic information were analyzed by SPSS software.

Results:

The mean age of individuals was 39.3 ± 9.4 years. Out of 185 individuals 99 (53.5%) were positive for anti-HCV antibodies. Out of 99 antibody positive individuals, 44 had HCV RNA. Among 44 RNA positive individuals, genotypes and subtypes of HCV were as 26 (59.1%) 1a, 17 (38.6%) 3a and one (2.2%) 4. There was a significant association between anti-HCV antibody and demographic variables including, age, gender, occupation, and CD4+ T-cell count (p = 0.0001).

Conclusion:

The present study reveals that HIV/HCV co-infection is high in the study population. It is recommended similar studies should be done in other HIV infected populations for management of HIV/HCV co-infection.

Potent novel inhibitors against hepatitis C virus NS3 (HCV NS3 GT-3a) protease domain

HCV NS3, a non-structural hepatitis C viral protein is used as one of the potential targets for inhibition by direct-acting antivirals. It is known that the success rate for HCV genotype-1 treatment remained very high, however, treatment of genotype-3a (GT-3a), is still quite challenging. In the current study, the HCV GT-3a full-length NS3 gene was amplified and sequenced. The complete nucleotide sequence was translated into the amino acid sequence and homology models of HCV-NS3 GT-3a were generated by HCV-NS3 genotype-1b as a template. The objective of the study was to screen novel therapeutic hits from large databases. For this aim, various small molecule databases including, BindingDB (∼45.000 compounds), NCI (∼265.000 compounds), and Specs-SC (∼212.000 compounds) were used. Firstly, all of the compounds were screened using binary-QSAR models from the MetaCore/MetaDrug server, and compounds were filtered based on therapeutic activity predictions by the anti-viral QSAR model. Filtered molecules were used in 26 different toxicity QSAR models and active non-toxic compounds were identified. These selected molecules were then used in docking and molecular dynamics (MD) simulations studies at the binding cavities of the NS3 protease domain of the GT-3a. Results were compared with known inhibitors and novel molecules are proposed against HCV-NS3 GT-3a. These molecules have high ligand efficiencies as compared to the reference molecules suggesting a better alternate to the existing suite of inhibitors. Thus, this study will be a step ahead in the development of new potential compounds as antiviral drugs for the GT-3a target.

Rapid and Sensitive Detection of Hepatitis C Virus in Clinical Blood Samples Using Reverse Transcriptase Polymerase Spiral Reaction

This study established a new polymerase spiral reaction (PSR) that combines with reverse transcription reactions for HCV detection targeting 5'UTR gene. To avoid cross-contamination of aerosols, an isothermal amplification tube (IAT), as a separate containment control, was used to judge the result. After optimizing the RT-PSR reaction system, its effectiveness and specificity were tested against 15 different virus strains which included 8 that were HCV positive and 7 as non-HCV controls. The results showed that the RT-PSR assay effectively detected all 8 HCV strains, and no false positives were found among the 7 non-HCV strains. The detection limit of our RT-PSR assay is comparable to the real-time RT-PCR, but is more sensitive than the RT-LAMP. The established RT-PSR assay was further evaluated for detection of HCV in clinical blood samples, and the resulting 80.25% detection rate demonstrated better or similar effectiveness compared to the RT-LAMP (79.63%) and real-time RT-PCR (80.25%). Overall, the results showed that the RT-PSR assay offers high specificity and sensitivity for HCV detection with great potential for screening HCV in clinical blood samples.

Duplex fluorescence melting curve analysis as a new tool for rapid detection and differentiation of genotype I, II and Bartha-K61 vaccine strains of pseudorabies virus

Background

Recently, pseudorabies (PR) outbreaks have been reported in a large number of swine herds vaccinated with the Bartha-K61 vaccine in China, the current pseudorabies virus (PRV) belonging to Genotype II is differential genetically from Bartha-K61 vaccine belonging to Genotype I. Furthermore, it has been proved that the Bartha-K61 vaccine cannot provide sufficient protection against the current PRVs in China. Therefore, the accurate and rapid identification of PRVs is essential. The objective of this study is to develop a duplex fluorescence melting curve analysis (FMCA) capable of rapid, simple, high-throughput differentiation of Chinese, European/American and Bartha-K61 vaccine strains of PRV.

Results

Primers 6F/6R and probes P1/P2, combined with three recombinant plasmids p-B (Bartha-K61), p-N (Genotype I), and p-H (Genotype II), were used to establish the Bicolor FMCA. FAM Tm values (probe P1) and HEX (probe P2) channels of p-B were used as reference values. Tm differences (ΔTm) between detected samples and reference plasmid p-B were calculated in each channel. Bartha-K61 vaccine samples had ΔTm values of ±1 °C in both FAM and HEX channels, Genotype I samples had ΔTm values of ±1 °C in the FAM channel and 4.38 ± 1 °C in the HEX channel, and Genotype II samples had ΔTm values of 6.52 ± 1 °C in the FAM channel and 4.38 ± 1 °C in the HEX channel. The minimum detection limit of the duplex FMCA was approximately 1 × 10⁰ copies per reaction for p-B, p-N, and p-H. The duplex FMCA technique was used to detect and different 198 suspected clinical samples, of which 18 (9%) were positive for Genotype II strains and eight (4%) were positive for Bartha-K61 vaccine strains, and the results were compared with sequencing and phylogenetic analyses, which confirmed that the Bicolor FMCA worked correctly for all samples.

Conclusions

In this study, we developed a duplex FMCA of dual-labeled, self-quenched probes that was performed for rapid detection and differentiation of Genotype I, II and Bartha-K61 vaccine strains of PRV. The duplex FMCA was rapid, simple, and high-throughput, and will likely prove useful for molecular epidemiological investigations and pathogen surveillance of PRV.

Electronic supplementary material

The online version of this article (10.1186/s12917-018-1697-4) contains supplementary material, which is available to authorized users.

One-step real-time PCR assay for detection and quantification of RNA HCV to monitor patients under treatment in Brazil

The Brazilian Public Health Service provides freely αPEG-IFN to treat patients infected with HCV. The primary goal of HCV therapy is the long-term elimination of HCV from the blood to reduce the risk of HCV associated complications and death. Patient viremia affects the treatment duration and response, thus influencing clinical decisions. We developed a high-throughput method to perform the quantification of RNA hepatitis C virus (HCV) virus load in plasma samples to monitor patients under treatment. The method is based on a duplex detection, in a one-step real-time RT-PCR assay and it has been validated according to the rules established by the official Brazilian regulatory agency (ANVISA). This new method was compared to a commercial kit (Cobas/Taqman HCV Test v2.0 - Roche), showing virus load results with significant correlation between them (p = 0,012) using commercial and clinical panels. In addition, 611 samples from patients treated with peguilated alfa-interferon (αPEG-IFN) from different regions of Brazil were analyzed. Our one-step real-time RT-PCR assay demonstrated good performance in viral load measurement and in treatment course monitoring, with acceptable sensitivity and specificity values.

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.

An improved gold nanoparticle probe-based assay for HCV core antigen ultrasensitive detection

A gold nanoparticle probe-based assay (GNPA) was developed for ultrasensitive detection of Hepatitis C virus (HCV) core antigen. In the GNPA, after anti-HCV core antigen polyclonal antibodies and single-stranded barcode signal DNA were labeled on gold nanoparticle probe (NP), DNA enzyme was used to degrade the unbound barcode DNAs. The anti-HCV core antigen monoclonal antibodies were coated on magnetic microparticles probe (MMP). Then the NP-HCV core antigen-MMP sandwich immuno-complex was formed when the target antigen protein was added and captured. Magnetically separated, the immuno-complex containing the single-stranded barcode signal DNA was characterized by TaqMan probe based real-time fluorescence PCR. A detection limit of 1 fg/ml was determined for the HCV core antigen which is magnitude greater than that of ELISA (2ng/ml). The coefficients of variation (CV) of intra-assay and inter-assay respectively ranged from 0.22-2.62% and 1.92-3.01%. The improved GNPA decreased the interference of unbound barcode DNAs and may be an new way for HCV core antigen detection.

Hepatitis C Genotype Prevalence in Monastir Region, Tunisia: Correlation between 5' Untranslated Region (5'UTR), Non-structural 5B (NS5B), and Core Sequences in HCV Subtyping

Hepatitis C virus (HCV) is a causative agent of chronic liver disease, cirrhosis, and hepatocellular carcinoma. It constitutes a major public health around the world. There is no vaccine available against HCV, and current therapies are effective in only small percentage of patients. HCV has wide population-specific genotype variability. Genotype knowledge and viral load assessment are equally important for designing therapeutic strategies. Taking into account that the molecular epidemiology of HCV variants circulating in Tunisia is not yet well elucidated, and that, at present, little is known about the distribution pattern of HCV in Monastir region (Tunisia), we aimed, herein, to evaluate the prevalence of HCV genotypes in Monastir and to identify risk-related factors. For this purpose, 50 anti-HCV antibody-positive cases were diagnosed and subjected to viral RNA extraction, amplification, genotyping, and viral load quantification. Molecular epidemiology was studied by 5' untranslated region (5' UTR) sequencing as compared with the non-structural 5B (NS5B) and core region sequences. Overall concordance between 5' UTR, core, and NS5B sequencing was 100 %. The highest prevalent genotype was 1b (50 %) followed by genotypes 1a (16 %), 4a (12 %), 2a (10 %), 2c (8 %), and 3a (4 %). Interestingly, the subtype 1b had a statistically significant higher viral load than the other genotypes followed by subtype 1a. Based on these data, this study revealed a high prevalence of HCV genotype 1 (subtypes 1b and 1a) compared to other genotypes. A continued monitoring of HCV and knowledge of circulating genotypes could impact on future vaccine formulations.

Molecular characterization of Hepatitis C virus 3a in Peshawar

Background

The purpose of this study was to explore molecular epidemiology of HCV genotype 3a in Peshawar based on sequencing and phylogenetic analysis of Core region of HCV genome.

Methods

Chronically infected Hepatitis C virus infected patients enrolled under the Prime Minister Hepatitis C control program at three Tertiary care units of Peshawar [Khyber Teaching Hospital Peshawar, Lady Reading Hospital Peshawar, Hayat Abad Medical Complex Peshawar] were included in this cross sectional observational study. Qualitative detection of HCV and HCV genotyping was carried out by a modified reverse transcription-polymerase chain reaction (RT-PCR) and type specific genotyping assay. The Core gene of HCV genotype 3a was amplified, cloned and sequenced. The sequences obtained were used for phylogenetic analysis using MEGA 6 software.

Results

Among the 422 (82.75 %) PCR positive samples, 192 (45.5 %) were identified as having HCV genotype 3a infection. HCV Core gene sequencing was carried out randomly for the characterization of HCV 3a. Nucleotide sequence analysis of the obtained viral genomic sequences based on partial HCV 3a Core gene sequences with reference sequences from different countries showed that our sequences clustered with some local and regional sequences with high bootstrap values.

Conclusion

HCV 3a is highly prevalent in Peshawar, Pakistan and its phylogenetics based on Core gene sequences indicate the prevalence of different lineages of HCV 3a in Peshawar which may have consequences for disease management strategies causing more economic pressure on the impoverished population due to possible antiviral resistance.