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Phylogenetic and Phylodynamic Analyses of HCV Strains Circulating among Patients Using Injectable Drugs in Central Italy
Approximately 71 million people worldwide are infected with the hepatitis C virus (HCV). Injectable drug use represents the most common route of transmission in Europe and other developed countries. We studied the molecular characteristics of the HCV infection among mono-infected people who used dru...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8304011/ https://www.ncbi.nlm.nih.gov/pubmed/34361868 http://dx.doi.org/10.3390/microorganisms9071432 |
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author | Minosse, Claudia Salichos, Leonidas Taibi, Chiara Luzzitelli, Ilaria Nardozi, Daniela Capobianchi, Maria Rosaria D’Offizi, Gianpiero McPhee, Fiona Garbuglia, Anna Rosa |
author_facet | Minosse, Claudia Salichos, Leonidas Taibi, Chiara Luzzitelli, Ilaria Nardozi, Daniela Capobianchi, Maria Rosaria D’Offizi, Gianpiero McPhee, Fiona Garbuglia, Anna Rosa |
author_sort | Minosse, Claudia |
collection | PubMed |
description | Approximately 71 million people worldwide are infected with the hepatitis C virus (HCV). Injectable drug use represents the most common route of transmission in Europe and other developed countries. We studied the molecular characteristics of the HCV infection among mono-infected people who used drugs (PWUD) in Italy. Among 208 PWUD with anti-HCV antibodies, 101 (48.6%) were HCV RNA-positive, the majority (47%) were infected with the HCV genotype (Gt)1a, followed by Gt3a (34.9%), Gt4 (9.1%), Gt1b (4.5%), and Gt2 (4.5%). Bayesian phylogenetic analyses of clustered HCV NS5B sequences from 66 HCV-positive PWUDs with available plasma samples indicated age and neighborhood proximity as the most common characteristics between closely related HCV strains. Population dynamics, as measured by a coalescent Bayesian skyline analysis, revealed an increase in HCV Gt1a infections from the mid-1980s to mid-1990s. While HCV Gt3a infections were first detected in the 1980s, patient numbers with this genotype subtype remained relatively constant. For both Gt1a and Gt3a, Birth–Death Bayesian Skyline analyses produced higher reproduction numbers post 2014. For earlier time intervals, slow growths were observed for both Gt1a and Gt3a with reproduction numbers (Re) of approximately 1. The evolutionary rates for Gt1a and Gt3a were estimated as 2.23 × 10(−4) and 3.85 × 10(−4), respectively. |
format | Online Article Text |
id | pubmed-8304011 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-83040112021-07-25 Phylogenetic and Phylodynamic Analyses of HCV Strains Circulating among Patients Using Injectable Drugs in Central Italy Minosse, Claudia Salichos, Leonidas Taibi, Chiara Luzzitelli, Ilaria Nardozi, Daniela Capobianchi, Maria Rosaria D’Offizi, Gianpiero McPhee, Fiona Garbuglia, Anna Rosa Microorganisms Article Approximately 71 million people worldwide are infected with the hepatitis C virus (HCV). Injectable drug use represents the most common route of transmission in Europe and other developed countries. We studied the molecular characteristics of the HCV infection among mono-infected people who used drugs (PWUD) in Italy. Among 208 PWUD with anti-HCV antibodies, 101 (48.6%) were HCV RNA-positive, the majority (47%) were infected with the HCV genotype (Gt)1a, followed by Gt3a (34.9%), Gt4 (9.1%), Gt1b (4.5%), and Gt2 (4.5%). Bayesian phylogenetic analyses of clustered HCV NS5B sequences from 66 HCV-positive PWUDs with available plasma samples indicated age and neighborhood proximity as the most common characteristics between closely related HCV strains. Population dynamics, as measured by a coalescent Bayesian skyline analysis, revealed an increase in HCV Gt1a infections from the mid-1980s to mid-1990s. While HCV Gt3a infections were first detected in the 1980s, patient numbers with this genotype subtype remained relatively constant. For both Gt1a and Gt3a, Birth–Death Bayesian Skyline analyses produced higher reproduction numbers post 2014. For earlier time intervals, slow growths were observed for both Gt1a and Gt3a with reproduction numbers (Re) of approximately 1. The evolutionary rates for Gt1a and Gt3a were estimated as 2.23 × 10(−4) and 3.85 × 10(−4), respectively. MDPI 2021-07-02 /pmc/articles/PMC8304011/ /pubmed/34361868 http://dx.doi.org/10.3390/microorganisms9071432 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Minosse, Claudia Salichos, Leonidas Taibi, Chiara Luzzitelli, Ilaria Nardozi, Daniela Capobianchi, Maria Rosaria D’Offizi, Gianpiero McPhee, Fiona Garbuglia, Anna Rosa Phylogenetic and Phylodynamic Analyses of HCV Strains Circulating among Patients Using Injectable Drugs in Central Italy |
title | Phylogenetic and Phylodynamic Analyses of HCV Strains Circulating among Patients Using Injectable Drugs in Central Italy |
title_full | Phylogenetic and Phylodynamic Analyses of HCV Strains Circulating among Patients Using Injectable Drugs in Central Italy |
title_fullStr | Phylogenetic and Phylodynamic Analyses of HCV Strains Circulating among Patients Using Injectable Drugs in Central Italy |
title_full_unstemmed | Phylogenetic and Phylodynamic Analyses of HCV Strains Circulating among Patients Using Injectable Drugs in Central Italy |
title_short | Phylogenetic and Phylodynamic Analyses of HCV Strains Circulating among Patients Using Injectable Drugs in Central Italy |
title_sort | phylogenetic and phylodynamic analyses of hcv strains circulating among patients using injectable drugs in central italy |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8304011/ https://www.ncbi.nlm.nih.gov/pubmed/34361868 http://dx.doi.org/10.3390/microorganisms9071432 |
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