Molecular epidemiology of HIV-1 infection in immigrant population in northern Italy.

Human immunodeficiency virus-1 (HIV-1) is characterised by a vast genetic diversity classified into distinct phylogenetic strains and recombinant forms. We describe the HIV-1 molecular epidemiology and evolution of 129 consecutive HIV-1 positive migrants living in Milan (northern Italy). Polymerase gene sequences of 116 HIV-1 subtype-B positive patients were aligned with HIV-1 reference sequences (https://www.ncbi.nlm.nih.gov/) by using MAFFT alignment and edited by using Bioedit software. A maximum likelihood (ML) phylogenetic tree was performed by MEGA7 and was visualised by using FigTree v1.4.3. Of 129 migrants, 35 were born in Europe (28 in Eastern Europe), 70 in the Americas (67 in South America), 15 in Africa and nine in Asia; 76.4% were men who have sex with men (MSM). The serotype HIV-1-B prevailed (89.9%), followed by -C, -F1, -D and -A. Compared with 116 HIV-B patients, the 13 with HIV-non-B showed lower Nadir of CD4+ cell/mmc (P = 0.043), more frequently had sub Saharan origin (38.5 vs. 1.72%, P = 0.0001) and less frequently were MSM (40 vs. 74.5%, P = 0.02). The ML phylogenetic tree of the 116 HIV-1 subtype-B positive patients showed 13 statistically supported nodes (bootstrap > 70%). Most of the sequences included in these nodes have been isolated from male patients from the Americas and the most common risk factor was MSM. The low number of HIV-1 non-B subtype patients did not allow to perform this analysis. These results suggest a shift of HIV-1 prevention projects' focus and a continuous monitoring of HIV-1 molecular epidemiology among entry populations. Prevention efforts based on HIV molecular epidemiology may improve public health surveillance setting.

Human hepatitis E virus circulation in Bulgaria: Deep Bayesian phylogenetic analysis for viral spread control in the country.

Hepatitis E virus (HEV) infection in Bulgaria is endemic, as demonstrated by the seroprevalence of antibody against the virus in the general population and by the high prevalence of clinical cases registered. In this study, a deep Bayesian phylogenetic analysis has been performed to provide information on the genetic diversity and the spread of HEV genotypes in Bulgaria. Three different data sets of HEV virus was built for genotyping by the maximum likelihood method, for evolutionary rate estimated by Bayesian Markov Chain Monte Carlo approach, for demographic history investigation and for selective pressure analysis. The evolutionary rate for genotype 3e, was 351 × 10-3 substitution/site/year (95% highest posterior density [95% HPD]: 145 × 10 -3 -575 × 10 -3 ). The root of the time to the most recent common ancestor of the Bayesian maximum clade credibility tree of HEV 3e genotype corresponded to 1965 (HPD 95% 1949-1994). The Bulgarian sequences mainly clustered in the main clade (clade A). The monophyletic clade included all Bulgarian genotype 3e sequences. The demographic history showed a slight growth from 1995 to 2000, followed by a sort of bottleneck in 2010s, a peak in 2011 and a new growth to 2015. Selection pressure analysis did not show sites under positive pressure but 64 statistically significant sites under negative selection. Molecular epidemiological surveillance by Bayesian phylogeny of HEV virus can contribute to trace the way of human infection after contact with swine source directly or heating meat improving public health control.

Genotype I hepatitis A virus introduction in Italy: Bayesian phylogenetic analysis to date different epidemics.

Despite a significant decrease in acute hepatitis A in the last 2 decades in Italy, outbreaks were observed occurring mostly in southern Italy. In this study, Bayesian phylogenetic analysis was used to analyze the origin of these epidemics. With this aim, 5 different data sets of hepatitis A virus sequences were built to perform genotyping by the neighbor-joining method to estimate the evolutionary rates by using a Bayesian Markov chain Monte Carlo approach and to investigate the demographic history by independent Markov chain Monte Carlo runs enforcing both a strict and relaxed clock. The estimated mean value of the evolutionary rate, representing Ia and Ib strains, was 1.21 × 10-3 and 2.0 × 10-3 substitutions/site/year, respectively. The Bayesian maximum clade credibility tree of hepatitis A virus (HAV) Ia and Ib strains showed that Italian sequences mostly formed separate clusters. The root of the time for the most recent common ancestor (tMRCA) for HAV Ia and Ib strains dated back to 1981 and to 1988, respectively, showing in both cases different epidemic entrances. Phylodynamic analysis showed that genotype Ia increased in 1997, when the Apulia epidemic started, then suffered a bottleneck, probably consequent to vaccination and to the herd immunity, followed by a new increase in virus population in the years 2013-2014 consequent to the epidemic caused by the ingestion of mixed frozen berries. A similar trend without an evident bottleneck was observed also in the case of genotype Ib. In conclusion, the Bayesian phylogenetic analysis represents a good tool to measure the effectiveness of the public health plans used for HAV control.

HIV-2 Infection in a Migrant from Gambia: The History of the Disease Combined with Phylogenetic Analysis Revealed the Real Source of Infection.

Human immunodeficiency virus type 2 (HIV-2) infection prevalence is increasing in some European countries. The increasing migratory flow from countries where HIV-2 is endemic has facilitated the spread of the virus into Europe and other regions. We describe a case of HIV-2 infection in a migrant individual in the Asylum Seekers Centre (ASC) in Italy. The patient's virus was sequenced and found to be a typical HIV-2 genotype A virus. Bayesian evolutionary analysis revealed that the HIV-2 sequence from migrant dated back to 1986 in a subcluster, including sequences from Guinea Bissau. This was coherent with the history of the migrant who lived in Guinea Bissau from his birth until 1998 when he was 13 years old. Monitoring for HIV-2 infection in migrants from western Africa is necessary using adequate molecular tools to improve the diagnosis and understand the real origin of infection.