Determination of hepatitis C virus genotypes circulating in different districts of Punjab (Pakistan)

Gender-Specific Frequency Distribution of Hepatitis C Virus Genotypes in Punjab province, Pakistan: A Clinically Significant Descriptive Cross-Sectional Study

Background: Hepatitis C virus (HCV) is the major cause of liver cirrhosis, chronic liver disease, and hepatocellular carcinoma. More than 10 million individuals are living with HCV infection in Pakistan. Due to unawareness, very little information is known about HCV genotype occurrence in Punjab, the largest province of Pakistan. Identification of HCV genotype is very important for HCV treatment because different genotypes of HCV respond differently to antiviral therapy.

Objective: The purpose of this research was to determine the distribution frequency of different HCV genotypes in the Punjab province and to demonstrate the distribution pattern of HCV genotypes in different age groups and sexes.

Materials and Methods: In this study, we performed HCV genotyping of 3692 samples collected from different sites of the Punjab province, Pakistan. Among 3692 samples, 1755 (47.5%) were males and 1937 (52.4%) were females.

Results: A total of 3692 samples were subjected to HCV genotyping and 2977 (81%) patients were genotyped successfully, whereas 715 (19%) patients were found to be HCV not detected. Our study demonstrated that among typeable genotypes, 3a constituted 2582 (69.9%) patients followed by 1a (n = 280) 7.5%, 1b (n = 64) 1.7%, 2a (n = 6) 0.16%, genotype 4 (n = 10) 0.27%, 3+4 (n = 2) 0.56%, 1a+2a (n = 11) 0.29%, 1b+2a (n = 1) 0.02%, 1a+1b (n = 1) 0.02%, and 1a+1b+3 (n = 1) 0.02% patients. HCV genotype distribution was evaluated gender wise and in different age groups like 0-12, 13-18, 19-59, and >60 years. All the HCV genotypes were equally distributed among men and women. The most affected age group was 19-59 years as compared to other age groups.

Conclusion: The most frequently distributed HCV genotype in Punjab was found to be genotype 3a followed by genotype 1a, and only 0.94% of infected patients had a mixed genotype infection. Genotype 1a was found to be increasing significantly in the studied population. With these results, it can be assumed that genotype 3a may be replaced by genotype 1a with the passage of time. If this happens, this situation will be challenging in terms of antiviral therapy.

Distribution of hepatitis C virus genotypes in Punjab region, Pakistan, based on a study of 4177 specimens

Hepatitis C virus (HCV) is a heterogenetic infectious agent that affects a huge proportion of population around the globe. Diverse distribution of multiple subtypes of HCV makes it mandatory and remarkably imperative to understand the genotypic distribution in target population. It could serve as an indictive guideline for the improvement of diagnostic methodologies, and development of effective therapies against this viral infection, in order to improve the infected patients' quality of life. This study included HCV infected patients presented to the diagnostic facility of the Centre for Applied Molecular Biology, University of Punjab, Lahore, between 2016 and 2019. During the 4 years of study, samples were collected from 4177 subjects. Our data revealed no significant differences regarding the prevalence of various genotypes between genders in the adult population. Genotyping was carried out by following the Ohno protocol. The obtained results shown that genotype 3a is the most frequent genotype and accounts for 66.29% of cases. Among other genotypes, 1a is 2.11%, 1b is 0.07%, 3b is 1.89%, 5a is 0.02%, while genome of 28.23% patients was untypable; 1.22% of the samples were non-detectable as viremic. An important concern is that this untypable genome in HCV infected patients may indicate possible mutation of HCV.

Hepatocellular carcinoma occurs frequently and early after treatment in HCV genotype 3 infected persons treated with DAA regimens

BACKGROUND

There are conflicting data regarding the risk of hepatocellular carcinoma (HCC) after direct-acting antiviral agent (DAA) treatment. Risk of HCC in HCV genotype-3 infected persons after DAA therapy is not well known.

METHODS

We prospectively studied HCV infected persons initiated on a DAA regimen between October 2014 and March 2017 at two centers in Pakistan. All persons were free of HCC at study initiation. HCC was confirmed based on characteristic CT scan findings. Patients were followed for 12 months after the completion of therapy.

RESULTS

A total of 662 persons initiated treatment. Median age (IQR) was 50 (41, 57) years and 48.8% were male. At baseline, 49.4% were cirrhotic, 91% were genotype 3 and 91.9% attained SVR. Treatment regimens used were: Sofosbuvir (SOF)/ribavirin (RBV)/pegylated interferon (PEG-IFN), 25.2%; SOF/RBV, 62.4%; SOF/RBV/daclatasavir (DCV), 10.6%; SOF/DCV, 2.0%. Incident HCC was detected in 42 patients (12.8%) in the 12-month period after treatment completion and was exclusively observed in those with cirrhosis. In multivariable Cox regression analysis, SVR was associated with a reduction in HCC risk (HR, 95% CI: 0.35, 0.14,0.85). In Kaplan-Meier plots by treatment regimen, those treated with SOF/RBV, SOF/RBV/DCV, or SOF/DCV regimens had a shorter HCC-free survival compared with those treated with a SOF/RBV/PEG-IFN regimen.

CONCLUSION

In a predominantly genotype 3 cohort, incident HCC occurred frequently and early after treatment completion, and exclusively in those with pre-treatment cirrhosis. SVR reduced the risk of HCC. Treating HCV infected persons before development of cirrhosis may reduce risk of HCC.

Estimation of hepatitis C prevalence in the Punjab province of Pakistan: A retrospective study on general population

Background

Hepatitis C virus (HCV) infections are amongst the leading public health concerns in Pakistan with a high disease burden. Despite the availability of effective antiviral treatments in the country the disease burden in general population has not lowered. This could be attributed to the asymptomatic nature of this infection that results in lack of diagnosis until the late symptomatic stage. To better estimate and map HCV infections in the country a population-based analysis is necessary for an effective control of the infection.

Methods

Serologic samples of ~66,000 participants from all major cities of the Punjab province were tested for anti-HCV antibodies. The antibody-based seroprevalence was associated with socio-demographic variables including geographical region, age, gender and sex, and occupation.

Results

Overall serological response to HCV surface antigens was observed in over 17% of the population. Two of the districts were identified with significantly high prevalence in general population. Analysis by occupation showed significantly high prevalence in farmers (over 40%) followed by jobless and retired individuals, laborers and transporters. A significant difference in seroprevalence was observed in different age groups amongst sex and genders (male, female and transgender) with highest response in individuals of over 40 years of age. Moreover, most of the tested IDUs showed positive response for anti-HCV antibody.

Conclusion

This study represents a retrospective analysis of HCV infections in general population of the most populated province of Pakistan to identify socio-demographic groups at higher risk. Two geographical regions, Faisalabad and Okara districts, and an occupational group, farmers, were identified with significantly high HCV seroprevalence. These socio-demographic groups are the potential focused groups for follow-up studies on factors contributing to the high HCV prevalence in these groups towards orchestrating effective prevention, control and treatment.

Recent trends in molecular epidemiology of Hepatitis C virus in Mardan, KPK Pakistan

To determine the genotypic distribution of HCV, frequency of risk factors involved in its transmission, and correlation of genotype with viral load in Mardan population which is the second largest city of Khyber Pakhtunkhwa (KPK), Pakistan. Blood samples of 1140 were collected from different regions of Mardan and major proportion of recruited patients were internally displaced people (IDPs), refugees, and slum dwellers. Complete patient's history was analyzed to assess the possible risks involved in HCV transmission. Viral genotype was determined by PCR (polymerase chain reaction) whereas, HCV RNA was measured by qRT-PCR. Data was analyzed using SPSS statistical software. Our results indicate 3a as the most abundant subtype in Mardan population followed by 3b, 2a, 2b, 4a, untypeable, mixed, 1a, and 1b. In contrast to previous findings, genotype 1 was the least prevalent genotype and the overall prevalence of HCV in Mardan population was significantly higher in females (n = 687, 60.2%) than males (n = 453, 39.7%). Significant difference between-genotypes and gender was observed in genotype 1 (p < .034) and genotype 3 (p < .004). The mean age was 44 (SD ± 9.51). The most frequently found mixed genotype was 3a + 1b and mixed genotype was more prevalent in males. The proportion of middle-aged people (41-49 years) was higher whereas, older and younger people were least infected with HCV. This is the first study that showed substantial correlation of genotype 3 with low and intermediate viral load in Mardan population. Moreover, high and extremely high viral load was associated with other genotypes. Our findings showed that most of the patients who experienced high and extremely high viremia in their blood were males and belonged to Takhat Bhai and Mardaan regions. There were significant difference in the prevalence of HCV genotype 3a (p = .001) and genotype 3b (p = .005) in different regions of Mardan. Pre-treatment viral load is significantly high (p 0.001) in tehsil Mardan patients infected with HCV genotype 3 as compared to other genotypes. Unsafe medical practices such as medical and dental surgeries, intravenous drug use, and blood transfusions were the main risk factors for HCV transmission in Mardan, KPK Pakistan. This study gives clear insights into the epidemiological status of HCV in Mardan population. Genotype 3 is correlated with low and intermediate viral load whereas high viral loads were revealed among patients infected with genotypes other than genotype 3. In the absence of better data and robust epidemiological information, this detailed analysis of HCV genotypes with special reference to risk factors, pretreatment viral load, gender, and age will provide the baseline data for development of optimal HCV eradication and preventive strategies.

Prevalence and Treatment of Untypable HCV Variants in Different Districts of Punjab, Pakistan

In Pakistan, around 11 million people are infected with, at least, six circulating genotypes and subtypes of hepatitis C virus (HCV). The viral burden is still on rise. HCV genotype determination is necessary to devise appropriate antiviral therapy. Previous reports highlight the prevalence circulating untypable (in diagnostic perspectives) HCV subtype in local Pakistani patients. Present study was designed to investigate the epidemiological distribution of genotypes in different districts of Punjab, Pakistan and focuses on prevalence of diagnostically untypable subtype and its possible antiviral therapy. A total of 8,353 HCV patients were included through 2011 to 2016 for determination of HCV prevalent genotypes in the local community. HCV genotyping was carried out using Ohno et al. method, and five cases of diagnostically untypable patients were treated with interferon-based antiviral regimen to find the possible treatment strategy. Of the 8,353 patients, the genotype 3a (n = 6,650, 79.6%) was most significantly prevalent throughout the study period followed by undetermined genotype that is, untypable (n = 1,377, 16.5%). The presence of untypable variants suggested that there are some novel or quasi species prevailing among HCV patients in local community. Five HCV patients infected with untypable genotype had been treated effectively with interferon alpha plus ribavirin therapy for 24 weeks at standard doses and achieved sustained virological response. This study highlighted an important aspect of HCV treatment for local Pakistani HCV patients. Untypable HCV variants could be treated with interferon-based antiviral regimens such as 3a genotype. The study raises the need of characterization of diagnostically untypable HCV variant. On the basis of these results, it can be proposed that until the availability of pangenotypic direct-acting antiviral for HCV treatment in Pakistan, interferon-based antiviral regimens will be of choice for majority of patients infected with 3a or untypable genotypes.

Untypeable hepatitis C virus subtypes in Pakistan: A neglected section

Diagnostically untypeable subtypes contribute a considerable percent of hepatitis C virus (HCV) subtypes in Pakistan. In the present study, chronically infected HCV patients with known viremia were subjected to HCV genotyping. Among the total retrieved samples, 92.7% (64/69) were found typeable while 7.24% (5/69) were diagnostically untypeable. In conclusion, the presence of large number of untypeable HCV subtypes emphasizes the need of an updated type-specific genotyping assay and consideration of primers for proportionally rare subtypes to minimize the number of untypeable HCV subtypes.

Prevalence of Hepatitis C Virus Genotypes Among Patients in Countries of the Eastern Mediterranean Regional Office of WHO (EMRO): A Systematic Review and Meta-Analysis

CONTEXT

Hepatitis C virus (HCV) infection is a major global public health issue. The Eastern Mediterranean regional office (EMRO) of the world health organization (WHO) seems to have one of the highest prevalence rates worldwide, with at least 21.3 million HCV-infected patients.

OBJECTIVES

The aim of the present study was to review systematically all epidemiological data related to the prevalence of HCV genotypes in infected patients in EMRO countries.

DATA SOURCES

A systematic search was conducted of peer-reviewed journals indexed in electronic databases (PubMed, Scopus, ISI, PakMediNet, and IMEMR, and Persian-specific databases including SID, Iran Medex, and MagIran).

STUDY SELECTION

A systematic search was performed with temporal limits (papers published between January 2000 up to June 2015), regarding the prevalence and distribution of HCV genotypes in EMRO countries.

DATA EXTRACTION

The prevalence rates of HCV genotypes were pooled by metan command in Stata 14. Statistical heterogeneity was explored using the I-square at the 5% significance level. Publication bias was assessed, graphically and statistically, by funnel plot and Begg and Egger tests.

RESULTS

A total of 563 records were identified through the electronic search. Of these records, 134 studies comprising 67681 HCV-infected individuals were included in the meta-analysis. In Iran, subtype 1a was the predominant subtype with a rate of 42% (95% CI, 39 - 46), followed by subtype 3a, 35% (95% CI, 31 - 38). In Pakistan, Subtype 3a was the most common subtype with a rate of 56% (95% CI, 49 - 62), followed by subtype 3b, 10% (95% CI, 7 - 12). In Saudi Arabia and Egypt, genotype 4 was the most prevalent genotype with a rate of 65% (95% CI, 59 - 72) and 69% (95% CI, 36 - 100) respectively. In Tunisia and Morocco, subtype 1b was the most common subtype with a rate of 69% (95% CI, 50 - 88) and 32% (95% CI, 7 - 56) respectively.

CONCLUSIONS

The genotype distribution of HCV takes diverse patterns in EMRO countries. Genotypes 1 and 3 were predominant in Iran and Pakistan, while genotype 4 and 1 were the most common genotypes in the Middle East Arab countries and North African Arab countries. Understanding the genotypes of HCV can help policy makers in designing good strategies for treatment.

Diagnostically untypable hepatitis C virus variants: It is time to resolve the problem

Pakistan is a low income country with more than 10 million hepatitis C virus (HCV) infections and the burden is on continuous raise. Accurate viral genotyping is very critical for proper treatment of the infected individuals as the sustained virological response of the standard antiviral interferon therapy is genotype dependent. We observed at our diagnostic center that 15.6% of HCV patient’s samples were not genotype-able by using Ohno et al method. The genotyped samples showed that 3a (68.3%) is the major prevalent genotype in Pakistan followed by 2a (10.3%), 3b (2.6%), 1b (1.5%), 2b (1.2%) and 1a (0.5%). Presence of large number of untypable HCV variants in the current study highlights an important issue of health care setup in Pakistan. Untypable HCV cases create difficulties in treatment of these patients. The problem of routine diagnostics setup of Pakistan should be addressed on priority basis to facilitate the medical professionals in patient’s treatment and to help in achieving the maximum sustained virological response.

Geographic distribution of hepatitis C virus genotypes in pakistan

BACKGROUND

Distribution of Hepatitis C Virus (HCV) genotypes may be changed over time. Epidemiological Studies on distribution patterns of HCV genotypes in Pakistani population might assist for better treatment options and preventive strategies.

OBJECTIVES

This study was conducted to determine distribution patterns of HCV genotypes in different geographical regions of Pakistan.

PATIENTS AND METHODS

In this cross-sectional study, 1818 randomly selected patients from different geographical regions of Pakistan, diagnosed with HCV infection by the third generation Enzyme Linked Immunosorbent Assay (ELISA), were included between April 2011 and December 2013. HCV RNA was detected in serum samples of patients by Reverse Transcription Polymerase Chain Reaction (RT- PCR) of the core region. Qualitative PCR was performed to determine viral load. HCV genotyping was performed by RT-nested PCR using type-specific primers of the core region. Frequency of different genotypes among patients was assessed according to gender, age and geographical region at the time of sampling.

RESULTS

Of 1818 HCV RNA positive samples, HCV genotypes PCR fragments were detected in 1552 (85.5%) samples. HCV genotype 3a was the predominant genotype (39.4%) followed by genotype 2a (24.93%). HCV genotype 3 was the predominant genotype in Punjab and Sindh regions, while genotype 2 was the most predominant genotype in Khyber Pakhtunkhwa region and the second predominant genotype after genotype 3 in Sindh region. The incidence of genotype 2a is increasing in our country with decrease in the incidence of genotype 3a. A higher incidence of HCV various genotypes were observed among male patients and those younger than 45 years.

CONCLUSIONS

This study may facilitate treatment options and preventive strategies in Pakistan.

Genetic history of hepatitis C virus in Pakistan

Hepatitis C virus (HCV) genotype 3a accounts for ∼80% of HCV infections in Pakistan, where ∼10 million people are HCV-infected. Here, we report analysis of the genetic heterogeneity of HCV NS3 and NS5b subgenomic regions from genotype 3a variants obtained from Pakistan. Phylogenetic analyses showed that Pakistani genotype 3a variants were as genetically diverse as global variants, with extensive intermixing. Bayesian estimates showed that the most recent ancestor for genotype 3a in Pakistan was last extant in ∼1896-1914 C.E. (range: 1851-1932). This genotype experienced a population expansion starting from ∼1905 to ∼1970 after which the effective population leveled. Death/birth models suggest that HCV 3a has reached saturating diversity with decreasing turnover rate and positive extinction. Taken together, these observations are consistent with a long and complex history of HCV 3a infection in Pakistan.

Determining hepatitis C virus genotype distribution among high-risk groups in Iran using real-time PCR

AIM: To assess hepatitis C virus (HCV) genotype patterns among high-risk Iranian groups, using real-time RT-PCR.

METHODS: In this study, we evaluated the distribution of different HCV genotypes among injection drug users and other high-risk groups over a 4-year period (from 2009 to 2012) using real-time polymerase chain reaction (PCR). Sera from 888 HCV-infected patients residing in southern and southwest Iran were genotyped using real-time PCR with common primers and specific probes. These patients were grouped into distinct exposure categories. Illicit drug users constituted the primary group and were further evaluated for HCV genotype distribution and parameters such as age range.

RESULTS: Of the examined HCV-infected patients, 62% were substance abusers, although the route of transmission could not be determined in approximately 30% of these patients. HCV genotyping revealed that Gt1 was the most prevalent genotype among the drug users as well as among patients with thalassemia, hemophilia, solid organ recipients and those on hemodialysis. Mixed infections were only seen in addict groups, where Gt2 genotype was also found. The highest frequencies in HCV-positive addict patients were observed in the 31-40 age group. Our research also showed that the addiction age has increased, whereas the addiction rate has dropped in this region. Most illicit drug users had more than one risk factor such as tattoo and/or a history of imprisonment.

CONCLUSION: This study revealed that the most common HCV-infection route and HCV-genotype in southern and southwest Iran was illicit drug abuse and Gt1, respectively.