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Phylogenetic analysis of the 5ʹ untranslated region of HCV from cirrhotic patients in Khyber Pakhtunkhwa, Pakistan

Hepatitis C virus (HCV), a small, single-stranded RNA virus with a 9.6 kb genome, is one of the most common causes of liver diseases. Sequencing of the 5ʹ untranslated region (UTR) is usually used for HCV genotyping, but it is less important in numerous subtypes due to its scarce sequence variations...

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Autores principales: Ullah, Amin, Rehman, Irshad Ur, Ahmad, Jamshaid, Odenthal, Margaret, Ahmad, Saad, Nadeem, Tariq, Ali, Qurban, Rizwan, Muhammad, Khan, Muhammad Ajmal, Hassan, Said, Ahsan, Hina, Ahmad, Bashir
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8298656/
https://www.ncbi.nlm.nih.gov/pubmed/34294747
http://dx.doi.org/10.1038/s41598-021-94063-1
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author Ullah, Amin
Rehman, Irshad Ur
Ahmad, Jamshaid
Odenthal, Margaret
Ahmad, Saad
Nadeem, Tariq
Ali, Qurban
Rizwan, Muhammad
Khan, Muhammad Ajmal
Hassan, Said
Ahsan, Hina
Ahmad, Bashir
author_facet Ullah, Amin
Rehman, Irshad Ur
Ahmad, Jamshaid
Odenthal, Margaret
Ahmad, Saad
Nadeem, Tariq
Ali, Qurban
Rizwan, Muhammad
Khan, Muhammad Ajmal
Hassan, Said
Ahsan, Hina
Ahmad, Bashir
author_sort Ullah, Amin
collection PubMed
description Hepatitis C virus (HCV), a small, single-stranded RNA virus with a 9.6 kb genome, is one of the most common causes of liver diseases. Sequencing of the 5ʹ untranslated region (UTR) is usually used for HCV genotyping, but it is less important in numerous subtypes due to its scarce sequence variations. This study aimed to identify genotypes using the 5ʹ UTR of HCV from cirrhotic patients of Khyber Pakhtunkhwa (KP). Serum RNA samples (44) were screened by real time PCR to determine the HCV viral load. Nested PCR was performed to identify cDNA and the 5ʹ UTR. The HCV 5′ UTR was sequenced using the Sanger method. MEGA-7 software was used to analyze evolutionary relatedness. After 5ʹ UTR sequencing, 26 samples (59%) were identified as genotype 3, and 2 samples (6%) were identified as genotypes 1, 2 and 4. The most predominant genotype was 3a, and genotype 4 was rarely reported in the phylogenetic tree. Analysis of the HCV 5ʹ UTR is an efficient alternative method for confirmation of various genotypes. Phylogenetic analysis showed that genotype 3 was dominant in the area of KP, Pakistan.
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spelling pubmed-82986562021-07-27 Phylogenetic analysis of the 5ʹ untranslated region of HCV from cirrhotic patients in Khyber Pakhtunkhwa, Pakistan Ullah, Amin Rehman, Irshad Ur Ahmad, Jamshaid Odenthal, Margaret Ahmad, Saad Nadeem, Tariq Ali, Qurban Rizwan, Muhammad Khan, Muhammad Ajmal Hassan, Said Ahsan, Hina Ahmad, Bashir Sci Rep Article Hepatitis C virus (HCV), a small, single-stranded RNA virus with a 9.6 kb genome, is one of the most common causes of liver diseases. Sequencing of the 5ʹ untranslated region (UTR) is usually used for HCV genotyping, but it is less important in numerous subtypes due to its scarce sequence variations. This study aimed to identify genotypes using the 5ʹ UTR of HCV from cirrhotic patients of Khyber Pakhtunkhwa (KP). Serum RNA samples (44) were screened by real time PCR to determine the HCV viral load. Nested PCR was performed to identify cDNA and the 5ʹ UTR. The HCV 5′ UTR was sequenced using the Sanger method. MEGA-7 software was used to analyze evolutionary relatedness. After 5ʹ UTR sequencing, 26 samples (59%) were identified as genotype 3, and 2 samples (6%) were identified as genotypes 1, 2 and 4. The most predominant genotype was 3a, and genotype 4 was rarely reported in the phylogenetic tree. Analysis of the HCV 5ʹ UTR is an efficient alternative method for confirmation of various genotypes. Phylogenetic analysis showed that genotype 3 was dominant in the area of KP, Pakistan. Nature Publishing Group UK 2021-07-22 /pmc/articles/PMC8298656/ /pubmed/34294747 http://dx.doi.org/10.1038/s41598-021-94063-1 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Ullah, Amin
Rehman, Irshad Ur
Ahmad, Jamshaid
Odenthal, Margaret
Ahmad, Saad
Nadeem, Tariq
Ali, Qurban
Rizwan, Muhammad
Khan, Muhammad Ajmal
Hassan, Said
Ahsan, Hina
Ahmad, Bashir
Phylogenetic analysis of the 5ʹ untranslated region of HCV from cirrhotic patients in Khyber Pakhtunkhwa, Pakistan
title Phylogenetic analysis of the 5ʹ untranslated region of HCV from cirrhotic patients in Khyber Pakhtunkhwa, Pakistan
title_full Phylogenetic analysis of the 5ʹ untranslated region of HCV from cirrhotic patients in Khyber Pakhtunkhwa, Pakistan
title_fullStr Phylogenetic analysis of the 5ʹ untranslated region of HCV from cirrhotic patients in Khyber Pakhtunkhwa, Pakistan
title_full_unstemmed Phylogenetic analysis of the 5ʹ untranslated region of HCV from cirrhotic patients in Khyber Pakhtunkhwa, Pakistan
title_short Phylogenetic analysis of the 5ʹ untranslated region of HCV from cirrhotic patients in Khyber Pakhtunkhwa, Pakistan
title_sort phylogenetic analysis of the 5ʹ untranslated region of hcv from cirrhotic patients in khyber pakhtunkhwa, pakistan
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8298656/
https://www.ncbi.nlm.nih.gov/pubmed/34294747
http://dx.doi.org/10.1038/s41598-021-94063-1
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