Rúbia Marília de Medeiros

Origin and evolutionary history of Hiv-1 subtype C in Brazil

Objective:To investigate the origin and to reconstruct the onset date of the HIV-1 subtype C epidemic in Brazil. Design:Three independent datasets of subtype C sequences isolated from HIV-1-positive patients from southern Brazil over a period of 15 years (1991–2006) were analyzed: 82 env V3 sequences (213nt), 40 env C2–C5 sequences (559nt), and 72 pol sequences (960nt). Methods:Brazilian sequences were compared with other subtype C reference strains from the database using basic local alignment search tool, phylogenetic analyses, and searching of specific amino acid signature patterns. Evolutionary parameters were estimated using a Bayesian coalescent-based method under either strict or relaxed molecular clock models. Results:HIV-1 subtype C sequences from Brazil and Burundi formed a monophyletic cluster at both env and pol regions and shared specific amino acid signatures in the protease region when compared with other viruses of the same subtype from around the world. All Brazilian strains arose as a monophyletic subcluster within the Burundi-Brazilian lineage, whereas isolates from Burundi appeared at the origin of the clade. Evolutionary analyses of both env and pol genomic regions indicate that the age of the most recent common ancestor of the Brazilian subtype C clade dates back to the early 1980s. Conclusion:The subtype C epidemic in the southern Brazilian region was initiated by the introduction of a single founder strain closely related to subtype C strains from Burundi. Our results suggest that this founder event probably took place around the early 1980s, roughly a decade before the previous estimates.

Reviewing the History of HIV-1: Spread of Subtype B in the Americas

The dispersal of HIV-1 subtype B (HIV-1B) is a reflection of the movement of human populations in response to social, political, and geographical issues. The initial dissemination of HIV-1B outside Africa seems to have included the passive involvement of human populations from the Caribbean in spreading the virus to the United States. However, the exact pathways taken during the establishment of the pandemic in the Americas remain unclear. Here, we propose a geographical scenario for the dissemination of HIV-1B in the Americas, based on phylogenetic and genetic statistical analyses of 313 available sequences of the pol gene from 27 countries. Maximum likelihood and Bayesian inference methods were used to explore the phylogenetic relationships between HIV-1B sequences, and molecular variance estimates were analyzed to infer the genetic structure of the viral population. We found that the initial dissemination and subsequent spread of subtype B in the Americas occurred via a single introduction event in the Caribbean around 1964 (1950–1967). Phylogenetic trees present evidence of several primary outbreaks in countries in South America, directly seeded by the Caribbean epidemic. Cuba is an exception insofar as its epidemic seems to have been introduced from South America. One clade comprising isolates from different countries emerged in the most-derived branches, reflecting the intense circulation of the virus throughout the American continents. Statistical analysis supports the genetic compartmentalization of the virus among the Americas, with a close relationship between the South American and Caribbean epidemics. These findings reflect the complex establishment of the HIV-1B pandemic and contribute to our understanding between the migration process of human populations and virus diffusion.

Co-circulation HIV-1 subtypes B, C, and CRF31_BC in a drug-naïve population from Southernmost Brazil: analysis of primary resistance mutations.

In Southernmost Brazil HIV‐1 subtypes B, C, and CRF31_BC co‐circulates and, since 1996 with the implementation of free access to highly active antiretroviral treatment (HAART), this epidemic is under a quite characteristic selective pressure. The profile of mutations and polymorphisms in the protease (PR) and reverse transcriptase (RT) genes of HIV‐1 from untreated patients living in Porto Alegre, Southernmost Brazil were evaluated in order to identify the subtypes and circulating drug resistant genotypes. Blood samples from 99 HIV‐1 positive drugs‐naïve patients were collected from 2006 to 2007 in Porto Alegre, Brazil. HIV PR and RT genes were amplified, sequenced, and subtyped. The HIV‐1 genotyping was performed by partial sequence analysis of the pol in the HIV Drug Resistance Database of Stanford University. Phylogenetic analyses allowed to classify the HIV samples according to their subtypes: B (26.2%), C (39.4%), F (1.1%), CRF31_CB (19.2%), and URF (14.1%). Eight (8.1%) samples showed primary resistance mutations according to the Calibrated Population Resistance tool based in the 2009 Surveillance Drug Resistance Mutation list. Two samples presented resistance mutations to PI, three NRTI and three NNRTI. There was no significant association between presence of resistant genotypes and subtypes, but resistance mutations seem to be less frequent in the subtype C. In addition, this study describes for the first time the mutational profile of CRF31_BC to PI, NRTI, and NNRTI. Genetic analyses of HIV‐1 from naïve patients are a promising and important method for surveillance of HIV infection. J. Med. Virol. 83:1682–1688, 2011.

Naturally occurring resistance mutations to HIV-1 entry inhibitors in subtypes B, C, and CRF31_BC

BACKGROUND Entry inhibitors are a class of antiretroviral (ARV) drugs that prevent HIV replication by blocking viral entry into the host cell. The investigation of naturally occurring mutations associated with entry inhibitors across subtypes is required because genetic differences between HIV-1 variants may influence the emergence of drug resistance. Despite the importance of subtype C, which predominates globally, the majority of studies include only subtype B strains. OBJECTIVES To investigate the presence of natural resistance mutations to entry inhibitors in HIV-1 subtypes B, C, and CRF31_BC strains. STUDY DESIGN Eighty samples were collected from antiretroviral-naïve patients. The gp41 gene from 67 patients and the gp120 gene from 65 patients were partially sequenced. Resistance mutations to entry inhibitors Enfuvirtide, Maraviroc, and Vicriviroc were screened. RESULTS ENF resistance-associated mutations of HR1 and HR2 on gp41 were not associated with any subtype. However, the major polymorphisms detected in HR1: N42S, L54M, and A67T were most prevalent in subtype C (p<0.001). Mutations A316T and R315Q in gp120, which are related to MVC and VCV reduced susceptibility respectively, were predominant in subtype C (p<0.05). CONCLUSIONS This study shows that many more resistance-associated mutations to entry inhibitors in ARV-naïve patients occur in subtype C compared with subtype B strains. However, further studies will be necessary to elucidate if the differential genetic background of HIV subtypes can affect the efficacy of treatment with entry inhibitors.

New Insights about Treg and Th17 Cells in HIV Infection and Disease Progression

Treg and Th17 cell subsets are characterized by the expression of specific transcriptional factors and chemokine receptor as well as by secretion of specific cytokine and chemokines. These subsets are important to the differentiation, expansion, homing capacity, and recruitment of several different immune cell populations to the site of infection. Whereas Treg cells maintain self-tolerance and control the activation and expansion of autoreactive CD4+ T effector cells through an anti-inflammatory response, Th17 cells, in an exacerbated unregulated proinflammatory response, can promote autoimmunity. Despite such apparently opposite functions, Th17 and Treg cells share common characteristics, and their differentiation pathways are interconnected. Recent studies have revealed quite intricate relations between Treg and Th17 cells in HIV infection and progression to AIDS. Considering Treg cells, different subsets were already investigated in the context of HIV infection, indicating a fluctuation in the total number and frequency throughout the disease course. This review focuses on the recent findings regarding the role of regulatory T and Th17 cells in the context of HIV infection, highlighting the importance of the balance between these two subsets on disease progression.

New insights into the in silico prediction of HIV protease resistance to nelfinavir.

The Human Immunodeficiency Virus type 1 protease enzyme (HIV-1 PR) is one of the most important targets of antiretroviral therapy used in the treatment of AIDS patients. The success of protease-inhibitors (PIs), however, is often limited by the emergence of protease mutations that can confer resistance to a specific drug, or even to multiple PIs. In the present study, we used bioinformatics tools to evaluate the impact of the unusual mutations D30V and V32E over the dynamics of the PR-Nelfinavir complex, considering that codons involved in these mutations were previously related to major drug resistance to Nelfinavir. Both studied mutations presented structural features that indicate resistance to Nelfinavir, each one with a different impact over the interaction with the drug. The D30V mutation triggered a subtle change in the PR structure, which was also observed for the well-known Nelfinavir resistance mutation D30N, while the V32E exchange presented a much more dramatic impact over the PR flap dynamics. Moreover, our in silico approach was also able to describe different binding modes of the drug when bound to different proteases, identifying specific features of HIV-1 subtype B and subtype C proteases.

Temporal dynamics of HIV-1 circulating subtypes in distinct exposure categories in southern Brazil

BackgroundThe HIV-1 epidemic in Brazil is predominantly driven by subtype B. However, in Brazilian Southern region subtype C prevails and a relatively high AIDS incidence rate is observed. The aim of the present study was to assess the temporal dynamics of HIV-1 subtypes circulating in patients from distinct exposure categories in Southern Brazil. For this purpose 166 HIV-1 samples collected at the years of 1998 (group I) and 2005–2008 (group II) were analyzed.ResultsAnalysis of group I revealed statistically significant (p < 0.05) associations between MSM and subtype B as well as between IDU and subtype C; while no statistical significant association between HIV-1 subtypes and exposure category was verified for group II. An overall temporal increase in the prevalence of subtype C and BC recombinants was observed in both HET and MSM populations, accompanied by a proportional decrease in the prevalence of the pure subtype B.ConclusionsThe present study shows an association between HIV subtypes and exposure categories at the middle 1990s in Southern Brazil. Our findings suggest that MSM and IDU populations might have played a major role in the introduction and initial dissemination of subtypes B and C, respectively, in Southern Brazil. This study also suggests a trend towards homogenization of HIV-1 strains across distinct exposure categories as a consequence of an overall increase in the prevalence of subtype C and BC recombinants in both HET and MSM populations.

Contribution of Epidemiological Predictors in Unraveling the Phylogeographic History of HIV-1 Subtype C in Brazil

ABSTRACT The phylogeographic history of the Brazilian HIV-1 subtype C (HIV-1C) epidemic is still unclear. Previous studies have mainly focused on the capital cities of Brazilian federal states, and the fact that HIV-1C infections increase at a higher rate than subtype B infections in Brazil calls for a better understanding of the process of spatial spread. A comprehensive sequence data set sampled across 22 Brazilian locations was assembled and analyzed. A Bayesian phylogeographic generalized linear model approach was used to reconstruct the spatiotemporal history of HIV-1C in Brazil, considering several potential explanatory predictors of the viral diffusion process. Analyses were performed on several subsampled data sets in order to mitigate potential sample biases. We reveal a central role for the city of Porto Alegre, the capital of the southernmost state, in the Brazilian HIV-1C epidemic (HIV-1C_BR), and the northward expansion of HIV-1C_BR could be linked to source populations with higher HIV-1 burdens and larger proportions of HIV-1C infections. The results presented here bring new insights to the continuing discussion about the HIV-1C epidemic in Brazil and raise an alternative hypothesis for its spatiotemporal history. The current work also highlights how sampling bias can confound phylogeographic analyses and demonstrates the importance of incorporating external information to protect against this. IMPORTANCE Subtype C is responsible for the largest HIV infection burden worldwide, but our understanding of its transmission dynamics remains incomplete. Brazil witnessed a relatively recent introduction of HIV-1C compared to HIV-1B, but it swiftly spread throughout the south, where it now circulates as the dominant variant. The northward spread has been comparatively slow, and HIV-1B still prevails in that region. While epidemiological data and viral genetic analyses have both independently shed light on the dynamics of spread in isolation, their combination has not yet been explored. Here, we complement publically available sequences and new genetic data from 13 cities with epidemiological data to reconstruct the history of HIV-1C spread in Brazil. The combined approach results in more robust reconstructions and can protect against sampling bias. We found evidence for an alternative view of the HIV-1C spatiotemporal history in Brazil that, contrary to previous explanations, integrates seamlessly with other observational data.

Evaluation of a novel microplate colorimetric hybridization genotyping assay for human papillomavirus

Persistent infection with high-risk human papillomavirus (HR-HPV) has been associated with cervical cancer. Developing assays for the identification of these viral types is of great importance for monitoring patients and controlling strategies. The development of the MCHA (microplate colorimetric hybridization assay), a PCR-based method for identifying six of the most common HR-HPV types (HPV 16, 18, 31, 33, 39 and 45) is described. The MCHA combines the amplification with the GP5+/GP6+ consensus primers followed by PCR reverse hybridization with specific probes and detection through a colorimetric assay. The performance of the MCHA was evaluated using 108 DNA samples typed previously by the PapilloCheck(®). The agreement between both methods was 69.4% for HPV 16; 79.1% for HPV 45; 82.4% for HPV 18; 93.6% for HPV 31; 87.9% for HPV 33, and 17.6% for HPV 39. The assay had higher sensitivity than the Papillocheck(®), particularly for identifying HPV 16 and 18. The MCHA seemed to be sensitive and specific for the identification of the most prevalent HPV types in invasive cervical cancer, HPV 16, 18, 45, 33 and 31. It requires low-cost reagents and common laboratory apparatus.

Short-Term Dynamic and Local Epidemiological Trends in the South American HIV-1B Epidemic.

The human displacement and sexual behavior are the main factors driving the HIV-1 pandemic to the current profile. The intrinsic structure of the HIV transmission among different individuals has valuable importance for the understanding of the epidemic and for the public health response. The aim of this study was to characterize the HIV-1 subtype B (HIV-1B) epidemic in South America through the identification of transmission links and infer trends about geographical patterns and median time of transmission between individuals. Sequences of the protease and reverse transcriptase coding regions from 4,810 individuals were selected from GenBank. Maximum likelihood phylogenies were inferred and submitted to ClusterPicker to identify transmission links. Bayesian analyses were applied only for clusters including ≥5 dated samples in order to estimate the median maximum inter-transmission interval. This study analyzed sequences sampled from 12 South American countries, from individuals of different exposure categories, under different antiretroviral profiles, and from a wide period of time (1989–2013). Continentally, Brazil, Argentina and Venezuela were revealed important sites for the spread of HIV-1B among countries inside South America. Of note, from all the clusters identified about 70% of the HIV-1B infections are primarily occurring among individuals living in the same geographic region. In addition, these transmissions seem to occur early after the infection of an individual, taking in average 2.39 years (95% CI 1.48–3.30) to succeed. Homosexual/Bisexual individuals transmit the virus as quickly as almost half time of that estimated for the general population sampled here. Public health services can be broadly benefitted from this kind of information whether to focus on specific programs of response to the epidemic whether as guiding of prevention campaigns to specific risk groups.