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Published on: June 11, 2011
Molecular epidemiology of HIV-1 infection in immigrant population in northern Italy
Caterina Sagnelli1, Caterina Uberti-Foppa2, Sabrina Bagaglio2
1Department of Mental Health and Public Medicine, Campania University Luigi Vanvitelli, Naples, Italy.
Abstract:
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.
Insights
This study tracks the molecular epidemiology of Human Immunodeficiency Virus type 1 (HIV-1) in migrants in Milan, finding subtype B predominates, primarily among men who have sex with men (MSM). Continuous HIV-1 surveillance is crucial for targeted prevention efforts.
Area of Science:
- Molecular Epidemiology
- Virology
- Public Health
Background:
- Human Immunodeficiency Virus type 1 (HIV-1) exhibits significant genetic diversity, with various strains and recombinant forms.
- Understanding the molecular epidemiology of HIV-1 is essential for effective prevention and control strategies, particularly in diverse populations.
- Migrant populations may represent unique epidemiological profiles for HIV-1 transmission and evolution.
Purpose of the Study:
- To investigate the molecular epidemiology and evolutionary patterns of HIV-1 among migrant populations in Milan, northern Italy.
- To identify dominant HIV-1 subtypes and their associated demographic and risk factors.
- To inform public health surveillance and prevention initiatives.
Main Methods:
- Analysis of polymerase gene sequences from 116 HIV-1 subtype B positive patients using MAFFT alignment and Bioedit software.
- Phylogenetic analysis using a maximum likelihood (ML) approach with MEGA7 and visualization with FigTree v1.4.3.
- Comparison of demographic and clinical data between HIV-1 subtype B and non-B patients.
Main Results:
- HIV-1 subtype B was the predominant strain (89.9%) among 129 migrant patients, followed by subtypes C, F1, D, and A.
- The majority of patients were men who have sex with men (MSM) (76.4%), with most sequences originating from Europe and the Americas.
- Patients with non-B subtypes had lower CD4+ cell counts, were more frequently of Sub-Saharan origin, and less frequently identified as MSM compared to subtype B patients.
Conclusions:
- The study highlights the prevalence of HIV-1 subtype B and its association with MSM in the studied migrant population.
- Findings underscore the need for continuous molecular epidemiology monitoring among migrant populations to guide targeted HIV-1 prevention programs.
- Adapting prevention strategies based on molecular epidemiology can enhance public health surveillance and control efforts.
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