Phylogenetic and Phylodynamic Analyses of HCV Strains Circulating among Patients Using Injectable Drugs in Central Italy

• Published in: Microorganisms (Basel) Vol. 9; no. 7; p. 1432
• Main Authors: Minosse, Claudia, Salichos, Leonidas, Taibi, Chiara, Luzzitelli, Ilaria, Nardozi, Daniela, Capobianchi, Maria Rosaria, D’Offizi, Gianpiero, McPhee, Fiona, Garbuglia, Anna Rosa
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 02-07-2021; MDPI
• Subjects: Age; Antibodies; Bayesian analysis; Blood & organ donations; Developed countries; Drug use; Drugs; Genotype & phenotype; Genotypes; HCV genotypes; Hepatitis C; hepatitis C virus (HCV); Infections; Maximum likelihood method; molecular epidemiology; Patients; people who use drugs (PWUD); Phylogenetics; Phylogeny; Population; Population dynamics; RNA-directed RNA polymerase; Software; Strains (organisms); viral evolution; United States > US; Italy; Germany
• ISSN: 2076-2607; 2076-2607
• DOI: 10.3390/microorganisms9071432

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.