HCV Genotype Variability and Its Impact on Viral Load Dynamics in a Clinical Population from Erbil, Kurdistan Region, Iraq

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Abstract

Background: The Hepatitis C virus (HCV) poses a significant risk to public health. The Hepatitis C virus has emerged as the main cause of chronic hepatitis, liver cirrhosis, and hepatocellular carcinoma worldwide. Objective: This study focused on determining the distribution of HCV genotypes among infected persons in Erbil, Kurdistan Region of Iraq, examine their relationships with demographic variables, and evaluate the link between particular genotypes and serum viral load levels. Methods: : The research comprised 120 individuals with verified HCV infection, assessed at the Public Health Laboratory in Erbil Province, Kurdistan Region of Iraq, from September 2024 to March 2025. Blood specimens were obtained, and serum was isolated for the identification of HCV antibodies, subsequently followed by the extraction of HCV RNA. Reverse transcriptase polymerase chain reaction was employed to measure the viral load, and the viral genotype was determined. Statistical analysis were performed to evaluate the correlation between genotype and viral load. Results: : In the patient cohort study, genotype 1a was the most frequent, involving 33.6% of cases, followed by genotype 4 at 25.4% and genotype 3 at 17.2%. Genotype 3 had the greatest median viral load, recorded at 431,000,000 IU/mL in comparison to other genotypes. Genotype 1a was mostly detected in male patients, whereas genotype 4 was more prevalent in females. Statistical study revealed no significant correlation between HCV genotypes and patients’ sex, age, or viral load (p > 0.05). Conclusion: Genotypes 1a, 4, and 3 were the most prominent among individuals infected with HCV. Genotype 3 demonstrated the greatest median viral load. Statistical analysis indicated that there was no association between HCV genotypes and the patients’ sex, age, or viral burden. These findings enhance the comprehension of HCV epidemiology and may aid in the development of more effective ways for managing and preventing hepatitis C virus infection.
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HCV Genotype Variability and Its Impact on Viral Load Dynamics in a Clinical Population from Erbil, Kurdistan Region, Iraq | Authorea try { document.documentElement.classList.add('js'); } catch (e) { } var _gaq = _gaq || []; _gaq.push(['_setAccount', 'G-8VDV14Y67G']); _gaq.push(['_trackPageview']); (function() { var ga = document.createElement('script'); ga.type = 'text/javascript'; ga.async = true; ga.src = ('https:' == document.location.protocol ? 'https://ssl' : 'http://www') + '.google-analytics.com/ga.js'; var s = document.getElementsByTagName('script')[0]; s.parentNode.insertBefore(ga, s); })(); Skip to main content Preprints Collections Wiley Open Research IET Open Research Ecological Society of Japan All Collections About About Authorea FAQs Contact Us Quick Search anywhere Search for preprint articles, keywords, etc. Search Search ADVANCED SEARCH SCROLL This is a preprint and has not been peer reviewed. Data may be preliminary. 12 June 2025 V1 Latest version Share on HCV Genotype Variability and Its Impact on Viral Load Dynamics in a Clinical Population from Erbil, Kurdistan Region, Iraq Author : Syamand Ahmed Ahmed Authors Info & Affiliations https://doi.org/10.22541/au.174972613.34907220/v1 197 views 137 downloads Contents Abstract Supplementary Material Information & Authors Metrics & Citations View Options References Figures Tables Media Share Abstract Background: The Hepatitis C virus (HCV) poses a significant risk to public health. The Hepatitis C virus has emerged as the main cause of chronic hepatitis, liver cirrhosis, and hepatocellular carcinoma worldwide. Objective: This study focused on determining the distribution of HCV genotypes among infected persons in Erbil, Kurdistan Region of Iraq, examine their relationships with demographic variables, and evaluate the link between particular genotypes and serum viral load levels. Methods: The research comprised 120 individuals with verified HCV infection, assessed at the Public Health Laboratory in Erbil Province, Kurdistan Region of Iraq, from September 2024 to March 2025. Blood specimens were obtained, and serum was isolated for the identification of HCV antibodies, subsequently followed by the extraction of HCV RNA. Reverse transcriptase polymerase chain reaction was employed to measure the viral load, and the viral genotype was determined. Statistical analysis were performed to evaluate the correlation between genotype and viral load. Results: In the patient cohort study, genotype 1a was the most frequent, involving 33.6% of cases, followed by genotype 4 at 25.4% and genotype 3 at 17.2%. Genotype 3 had the greatest median viral load, recorded at 431,000,000 IU/mL in comparison to other genotypes. Genotype 1a was mostly detected in male patients, whereas genotype 4 was more prevalent in females. Statistical study revealed no significant correlation between HCV genotypes and patients’ sex, age, or viral load (p > 0.05). Conclusion: Genotypes 1a, 4, and 3 were the most prominent among individuals infected with HCV. Genotype 3 demonstrated the greatest median viral load. Statistical analysis indicated that there was no association between HCV genotypes and the patients’ sex, age, or viral burden. These findings enhance the comprehension of HCV epidemiology and may aid in the development of more effective ways for managing and preventing hepatitis C virus infection. Supplementary Material File (hcv genotype and its correlation with viral load.docx) Download 126.33 KB File (tabel 2. distribution of viral load according to sex.docx) Download 15.46 KB File (table 1. demographic distribution of hcv genotypes by sex and age in erbil city.docx) Download 23.09 KB File (table 3. distribution of viral load according to hcv genotypes.docx) Download 19.39 KB Information & Authors Information Version history V1 Version 1 12 June 2025 Copyright This work is licensed under a Non Exclusive No Reuse License. Keywords anti-hepatitis c virus daa (directly acting antivirals) antiviral agents hepatitis c virus infection virus classification Authors Affiliations Syamand Ahmed Ahmed View all articles by this author Metrics & Citations Metrics Article Usage 197 views 137 downloads .FvxKWukQNSOunydq8rnd { width: 100px; } Citations Download citation Syamand Ahmed Ahmed. HCV Genotype Variability and Its Impact on Viral Load Dynamics in a Clinical Population from Erbil, Kurdistan Region, Iraq. Authorea . 12 June 2025. DOI: https://doi.org/10.22541/au.174972613.34907220/v1 If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download. For more information or tips please see 'Downloading to a citation manager' in the Help menu . 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