HIV-1 molecular diversity in Brazil unveiled by 10 years of sampling by the national genotyping network

• Published in: Scientific reports Vol. 11; no. 1; p. 15842
• Main Authors: Gräf, Tiago, Bello, Gonzalo, Andrade, Paula, Arantes, Ighor, Pereira, João Marcos, da Silva, Alexandre Bonfim Pinheiro, Veiga, Rafael V., Mariani, Diana, Boullosa, Lídia Theodoro, Arruda, Mônica B., Fernandez, José Carlos Couto, Dennis, Ann M., Rasmussen, David A., Tanuri, Amilcar
• Format: Journal Article
• Language: English
• Published: London Nature Publishing Group UK 04-08-2021; Nature Publishing Group; Nature Portfolio
• Subjects: 631/181/757; 631/326/596/2562; 692/699/255/1901; Acquired immune deficiency syndrome; Adolescent; Adult; AIDS; Brazil - epidemiology; Drug therapy; Epidemics; Female; Genomes; Genotype; Genotyping; HIV; HIV Infections - blood; HIV Infections - epidemiology; HIV Infections - virology; HIV Seropositivity; HIV-1 - classification; HIV-1 - genetics; Human immunodeficiency virus; Humanities and Social Sciences; Humans; Infections; Longitudinal Studies; Male; Metadata; Middle Aged; multidisciplinary; Pandemics; Phylogenetics; Phylogeny; Public health; Quality control; Science; Science (multidisciplinary); Sexually transmitted diseases; STD; Trends; Vaccines; Womens health; Young Adult; Brazil
• ISSN: 2045-2322; 2045-2322
• DOI: 10.1038/s41598-021-94542-5

HIV-1 has diversified into several subtypes and recombinant forms that are heterogeneously spread around the world. Understanding the distribution of viral variants and their temporal dynamics can help to design vaccines and monitor changes in viral transmission patterns. Brazil has one of the largest HIV-1 epidemics in the western-world and the molecular features of the virus circulating in the country are still not completely known. Over 50,000 partial HIV-1 genomes sampled between 2008 and 2017 by the Brazilian genotyping network (RENAGENO) were analyzed. Sequences were filtered by quality, duplicate sequences per patient were removed and subtyping was performed with online tools and molecular phylogeny. Association between patients’ demographic data and subtypes were performed by calculating the relative risk in a multinomial analysis and trends in subtype prevalence were tested by Pearson correlation. HIV-1B was found to be the most prevalent subtype throughout the country except in the south, where HIV-1C prevails. An increasing trend in the proportion of HIV-1C and F1 was observed in several regions of the country, while HIV-1B tended to decrease. Men and highly educated individuals were more frequently infected by HIV-1B and non-B variants were more prevalent among women with lower education. Our results suggest that socio-demographic factors partially segregate HIV-1 diversity in Brazil while shaping viral transmission networks. Historical events could explain a preferential circulation of HIV-1B among men who have sex with men (MSM) and non-B variants among heterosexual individuals. In view of an increasing male/female ratio of AIDS cases in Brazil in the last 10–15 years, the decrease of HIV-1B prevalence is surprising and suggests a greater penetrance of non-B subtypes in MSM transmission chains.