Humoral response to spike S1 and S2 and nucleocapsid proteins on microarray after SARS-CoV-2 infection.

Many aspects of the humoral immune response to severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), such as its role in protection after natural infection, are still unclear. We evaluated IgA and IgG response to spike subunits 1 and 2 (S1 and S2) and Nucleocapsid proteins of SARS-COV-2 in serum samples of 109 volunteers with viral RNA detected or seroconversion with different clinical evolution (asymptomatic, mild, moderate, and severe coronavirus disease 2019), using the ViraChip® Test Kit. We observed that the quantification of antibodies to all antigens had a positive correlation to disease severity, which was strongly associated with the presence of comorbidities. Seroreversion was not uncommon even during the short (median of 77 days) observation, occurring in 15% of mild-asymptomatic cases at a median of 55 days for IgG and 46 days for IgA. The time to reach the maximal antibody response did not differ significantly among recovered and deceased volunteers. Our study illustrated the dynamic of anti-S1, anti-N, and anti-S2 IgA and IgG antibodies, and suggests that high production of IgG and IgA does not guarantee protection to disease severity and that functional responses that have been studied by other groups, such as antibody avidity, need further attention.

Inhibition of receptor-binding domain-ACE2 interaction after two doses of Sinovac's CoronaVac or AstraZeneca/Oxford's AZD1222 SARS-CoV-2 vaccines.

Practical laboratory proxies that correlate to vaccine efficacy may facilitate trials, identify nonresponders, and inform about boosting strategies. Among clinical and laboratory markers, assays that evaluate antibodies that inhibit receptor-binding domain (RBD) ligation to angiotensin-converting enzyme-2 receptor (receptor-binding inhibition [RBI]) may provide a surrogate for viral neutralization assays. We evaluated RBI before and after a median of 34 days (interquartile range [IQR]: 33-40) of the second dose of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) Sinovac's CoronaVac (CN) or AstraZeneca/Oxford's AZD1222 (AZ) vaccines in 166 individuals. Both vaccines elicited high inhibitory titers in most subjects, 95% (158/166), with signal inhibition above 30% and 89% (127/143) with more than fourfold increase from prevaccination titers, but titers tend to decrease over time. Both postvaccination inhibitory titers (95%, IQR 85%-97% for AZ vs. 79%, IQR 60%-96% for CN, p = 0.004) and pre/post-titer increase (AZ 76%, IQR 51%-86% for AZ vs. 47%, IQR 24%-67% for CN, p < 0.0001) were higher among AZ vaccinees. Previous serological reactivity due to natural infection was associated with high prevaccination signal inhibition titers. The study documents a robust antibody response capable of interfering with RBD-angiotensin-converting enzyme binding. Evaluation of SARS-CoV-2 infection incidence in these populations is necessary to assess its association to protection and its duration.

Dynamics and features of transmission clusters of HIV-1 subtypes in the state of São Paulo, Brazil.

Background: Molecular epidemiology techniques allow us to track the HIV-1 transmission dynamics. Herein, we combined genetic, clinical and epidemiological data collected during routine clinical treatment to evaluate the dynamics and characteristics of transmission clusters of the most prevalent HIV-1 subtypes in the state of São Paulo, Brazil. Methods: This was a cross-sectional study conducted with 2,518 persons living with HIV (PLWH) from 53 cities in São Paulo state between Jan 2004 to Feb 2015. The phylogenetic tree of protease/reverse transcriptase (PR/RT) regions was reconstructed by PhyML and ClusterPicker used to infer the transmission clusters based on Shimodaira-Hasegawa (SH) greater than 90% (phylogenetic support) and genetic distance less than 6%. Results: Of a total of 2,518 sequences, 2,260 were pure subtypes at the PR/RT region, being B (88%), F1 (8.1%), and C (4%). About 21.2% were naïve with a transmitted drug resistance (TDR) rate of 11.8%. A total of 414 (18.3%) of the sequences clustered. These clusters were less evident in subtype B (17.7%) and F1 (15.1%) than in subtype C (40.2%). Clustered sequences were from PLWH at least 5 years younger than non-clustered among subtypes B (p < 0.001) and C (p = 0.037). Men who have sex with men (MSM) predominated the cluster in subtype B (51%), C (85.7%), and F1 (63.6%; p < 0.05). The TDR rate in clustered patients was 15.4, 13.6, and 3.1% for subtypes B, F1, and C, respectively. Most of the infections in subtypes B (80%), C (64%), and F1 (59%) occurred within the state of São Paulo. The metropolitan area of São Paulo presented a high level of endogenous clustering for subtypes B and C. The São Paulo city had 46% endogenous clusters of subtype C. Conclusion: Our findings showed that MSM, antiretroviral therapy in Treatment-Naive (ART-naïve) patients, and HIV1-C, played an important role in the HIV epidemic in the São Paulo state. Further studies in transmission clusters are needed to guide the prevention intervention.

HIV type 1 subtype C and CB Pol recombinants prevail at the cities with the highest AIDS prevalence rate in Brazil.

HIV-1 B is predominant in Brazil, but HIV-1 C has increasingly been reported in the south of the country. However, many samples clustering with clade C are actually a recombinant, with a small B segment at RT (CRF31). Samples (209) from the three cities with the highest aids prevalence rate are analyzed. Partial polymerase sequences from HIV RNA made it possible to determine HIV clades and recombination patterns and to identify primary drug resistance mutations (DRMs). The incidence was estimated with a BED assay. HIV-1 C and CRF31 patterns were twice as frequent as clade B at all sites, but the proportion of C and CRF31 patterns was significantly different among sites. The incidence estimate for SC was 2.6 persons-years. Infection in recent or younger cases showed no association with clade C. Surveillance DRM was observed in 8.3% (95% CI 5-13), mostly to NNRTIs. Clade F pol genomes had significantly more primary DRM.

Humoral response to spike S1 and S2 and nucleocapsidproteins on microarray after SARS­CoV­2 infection

Many aspects of the humoral immune response to severe acute respiratory syn-drome coronavirus 2 (SARS­CoV­2), such as its role in protection after natural in-fection, are still unclear. We evaluated IgA and IgG response to spike subunits 1 and2 (S1 and S2) and Nucleocapsid proteins of SARS­COV­2 in serum samples of 109volunteers with viral RNA detected or seroconversion with different clinical evolu-tion (asymptomatic, mild, moderate, and severe coronavirus disease 2019), using theViraChip®Test Kit. We observed that the quantification of antibodies to all antigenshad a positive correlation to disease severity, which was strongly associated with thepresence of comorbidities. Seroreversion was not uncommon even during the short(median of 77 days) observation, occurring in 15% of mild­asymptomatic cases at amedian of 55 days for IgG and 46 days for IgA. The time to reach the maximalantibody response did not differ significantly among recovered and deceased vo-lunteers. Our study illustrated the dynamic of anti­S1, anti­N, and anti­S2 IgA andIgG antibodies, and suggests that high production of IgG and IgA does not guaranteeprotection to disease severity and that functional responses that have been studiedby other groups, such as antibody avidity, need further attention. (AU)

HIV-1 pol mutation frequency by subtype and treatment experience: extension of the HIVseq program to seven non-B subtypes.

OBJECTIVE: HIVseq was developed in 2000 to make published data on the frequency of HIV-1 group M protease and reverse transcriptase (RT) mutations available in real time to laboratories and researchers sequencing these genes. Because most published protease and RT sequences belonged to subtype B, the initial version of HIVseq was based on this subtype. As additional non-B sequences from persons with well-characterized antiretroviral treatment histories have become available, the program has been extended to subtypes A, C, D, F, G, CRF01, and CRF02. METHODS: The latest frequency of each protease and RT mutation according to subtype and drug-class exposure was calculated using published sequences in the Stanford HIV RT and Protease Sequence Database. Each mutation was hyperlinked to published reports of viruses containing the mutation. RESULTS: As of September 2005, the mean number of protease sequences per non-B subtype was 534 from protease inhibitor-naive persons and 133 from protease inhibitor-treated persons, representing 13.2% and 2.3%, respectively, of the data available for subtype B. The mean number of RT sequences per non-B subtype was 373 from RT inhibitor-naive persons and 288 from RT inhibitor-treated persons, representing 17.9% and 3.8%, respectively, of the data available for subtype B. CONCLUSIONS: HIVseq allows users to examine protease and RT mutations within the context of previously published sequences of these genes. The publication of additional non-B protease and RT sequences from persons with well-characterized treatment histories, however, will be required to perform the same types of analysis possible with the much larger number of subtype B sequences.

Impact of HIV-1 subtype and antiretroviral therapy on protease and reverse transcriptase genotype: results of a global collaboration.

BACKGROUND: The genetic differences among HIV-1 subtypes may be critical to clinical management and drug resistance surveillance as antiretroviral treatment is expanded to regions of the world where diverse non-subtype-B viruses predominate. METHODS AND FINDINGS: To assess the impact of HIV-1 subtype and antiretroviral treatment on the distribution of mutations in protease and reverse transcriptase, a binomial response model using subtype and treatment as explanatory variables was used to analyze a large compiled dataset of non-subtype-B HIV-1 sequences. Non-subtype-B sequences from 3,686 persons with well characterized antiretroviral treatment histories were analyzed in comparison to subtype B sequences from 4,769 persons. The non-subtype-B sequences included 461 with subtype A, 1,185 with C, 331 with D, 245 with F, 293 with G, 513 with CRF01_AE, and 618 with CRF02_AG. Each of the 55 known subtype B drug-resistance mutations occurred in at least one non-B isolate, and 44 (80%) of these mutations were significantly associated with antiretroviral treatment in at least one non-B subtype. Conversely, of 67 mutations found to be associated with antiretroviral therapy in at least one non-B subtype, 61 were also associated with antiretroviral therapy in subtype B isolates. CONCLUSION: Global surveillance and genotypic assessment of drug resistance should focus primarily on the known subtype B drug-resistance mutations.

Molecular characteristics of HIV type 1 circulating in São Paulo, Brazil.

Partial sequences of HIV-1 polymerase from 185 patients, 141 ARV experienced and 44 naive, of gag (p24) and env (C2V3) from a subset of naive cases were evaluated in São Paulo, Brazil. Antiretroviral resistance mutations were detected in 4% of 26 recently (<2 years) infected patients. Polymorphisms at the protease gene were common both in contemporary and pre-HAART era isolates, some significantly associated with the viral clade. HIV-1 clade B was preponderant, in 79%, with 11% clade F and one case of HIV-1 C. Recently infected women had a significantly higher proportion of non-B clade HIV-1. A mosaic pol was observed in 9%, all B/F except for one G mosaic. A CRF-12-BF structure, observed in 20% of B/F pol mosaics, provides evidence for an epidemic relationship in the major South American metropolitan areas.

HIV-1 infection among injection and ex-injection drug users from Rio de Janeiro, Brazil: prevalence, estimated incidence and genetic diversity.

BACKGROUND AND OBJECTIVES: Due to their behavioral conditions and vulnerability, injection drug users (IDUs) are prone to multiple simultaneous or sequential infections with distinct HIV-1 subtypes and variants, making them a key population for molecular epidemiology surveillance. In the present study, we evaluated HIV-1 infection seroprevalence, genetic diversity and estimated incidence among IDUs and ex-injection drug users (ex-IDUs) from Rio de Janeiro, Brazil. STUDY DESIGN: Six hundred and eight IDUs and ex-IDUs, recruited between 1999 and 2001, were interviewed and agreed to donate 30 ml of blood. The serologic status for HIV infection was determined by two ELISAs and confirmed by IFA. CD4+ T-cell percentages were assessed by flow cytometry. HIV-1 positive samples were submitted to viral load quantification. DNA samples were PCR amplified and HIV-1 subtypes were determined using env and gag HMA. RESULTS AND CONCLUSIONS: Forty-eight (7.89%) individuals were seropositive for HIV-1 infection. The seroincidence of HIV-1 infection was estimated as 0.76%. HIV-1 env and gag subtyping identified 29 (69%) samples as belonging to subtype B, 7 (16.7%) to subtype F, and 6 (14.3%) discordant env/gag genomes infections, indicating the circulation of recombinant viruses in this population.

AIDS incidence and mortality in a hospital-based cohort of HIV-1-seropositive patients receiving highly active antiretroviral therapy in São Paulo, Brazil.

Brazilian AIDS and HIV-1-seropositive patients have had free access to highly active antiretroviral therapy (HAART) since November 1996. Although secondary data based on official mortality statistics indicate a sharp decrease in AIDS mortality, few if any studies tried to estimate the prognosis for patients with HIV who have been followed from the beginning of the HAART era. An observational study, with retrospective and prospective components, was done in 233 adult HIV-1-infected subjects who were recruited in the last 10 years at the outpatient sector of the Secondary Immunodeficiencies Clinic of the Department of Dermatology, Hospital das Clinicas da FMUSP, Sao Paulo, Brazil. The definition of AIDS followed the guidelines issued by the Centers for Disease Control (CDC) in 1987. One hundred sixty patients were asymptomatic, 46 had AIDS, 24 had AIDS-related complex, and 3 presented with acute infection at study entry. Twenty-nine (18%) of the asymptomatic subjects developed AIDS during follow-up, with 5 (3%) deaths. Among the 46 AIDS cases at entry, 7 (17%) died during follow-up. Thus, a total of 12 people (5.2%) died of AIDS in this cohort over a mean follow-up of 5.2 years and 24 people were lost to follow-up (10.3%). Ninety percent of the survivors were on combined therapy (82% with 3 or more drugs, and 8% with 2 drugs), while 10% were not taking antiretrovirals. People with AIDS at entry were 5 times more likely to die during this period compared to patients who were asymptomatic at entry (p = 0.006). Women showed better outcomes than men, reflecting differences in CD4+ T-cell counts at study entry. All but 1 patient progressed to AIDS during the pre-HAART era (before 1996). In spite of its recent decline, mortality from AIDS-related conditions remains an important public health issue.

Diversity and prevalence of antiretroviral genotypic resistance mutations among HIV-1-infected children.

OBJECTIVE: To evaluate genotyping and subtyping in antiretroviral (ARV) naïve and experienced children, as well as drug resistance profiles through genotyping in these children. METHODS: This retrospective study assessed ARV-naïve HIV children and HIV children failing highly active antiretroviral treatment (HAART) followed up at Santa Casa de São Paulo. Genotyping was performed using purified polymerase chain reaction (PCR) products from retrotranscribed RNA using Kit Viroseq HIV-1 Genotyping System 2.0 or nested PCR in-house. Sequencing was performed using automatic equipment (ABI 3100). ARV resistance mutations were analyzed in the Stanford HIV Drug Resistance Database and subtyping was performed at the National Center for Biotechnology Information (NCBI), using SimPlot analysis, together with phylogenetic analysis. RESULTS: No primary ARV resistance mutation was detected in the 24 ARV-naïve children, although there were mutations that may contribute to resistance to nucleoside analogue reverse transcriptase inhibitors (NRTI) (12.5%) and to protease inhibitors (PI) (95.8%). For the 23 children failing HAART, we found ARV resistance mutations to NRTI in 95.6% and to non-nucleoside analogue reverse transcriptase inhibitors (NNRTI) in 60.8%. For PI, we found ARV resistance mutations in 95.7%, 47.8% of which had only polymorfisms. In the subtyping analyses, 78.3% of the sequences clustered in HIV-1 subtype B, 4.3% in C, 13% in F and 4.4% in recombinant forms. CONCLUSION: Our results show low rates of primary resistance in ARV-naïve children and high rates of resistance in children failing ARV treatment, which is compatible with ARV use in these patients.

Diversidade e prevalência das mutações de resistência genotípica aos antirretrovirais entre crianças infectadas pelo HIV-1 / Diversity and prevalence of antiretroviral genotypic resistance mutations among HIV-1-infected children

Objective: To evaluate genotyping and subtyping in antiretroviral (ARV) naïve and experienced children, as well as drug resistance profiles through genotyping in these children. Methods: This retrospective study assessed ARV-naïve HIV children and HIV children failing highly active antiretroviral treatment (HAART) followed up at Santa Casa de São Paulo. Genotypingwas performed using purified polymerase chain reaction (PCR) products from retrotranscribed RNA using Kit Viroseq HIV-1 Genotyping System 2.0 or nested PCR in-house. Sequencing was performed using automatic equipment (ABI 3100). ARV resistance mutations were analyzed in the Stanford HIV Drug Resistance Database and subtypingwas performed at the National Center for Biotechnology Information (NCBI), using SimPlot analysis, together with phylogenetic analysis. Results: No primary ARV resistance mutation was detected in the 24 ARV-naïve children, although there were mutations that may contribute to resistance to nucleoside analogue reverse transcriptase inhibitors (NRTI) (12.5%) and to protease inhibitors (PI) (95.8%). For the 23 children failing HAART, we found ARV resistance mutations to NRTI in 95.6% and to non-nucleoside analogue reverse transcriptase inhibitors (NNRTI) in 60.8%. For PI, we found ARV resistance mutations in 95.7%, 47.8% of which had only polymorfisms. In the subtyping analyses, 78.3% of the sequences clustered in HIV-1 subtype B, 4.3% in C, 13% in F and 4.4% in recombinant forms. Conclusion: Our results show low rates of primary resistance in ARV-naïve children and high rates of resistance in children failing ARV treatment, which is compatible with ARV use in these patients.

Objetivo: Avaliar a genotipagem e subtipagem em crianças experimentadas e virgens de tratamento, assimcomoperfis de resistência a medicamentos através da genotipagem nessas crianças. Métodos: Estudo retrospectivo de crianças HIV positivas virgens de tratamento e HIV positivas que não responderam ao tratamento pela terapia antirretroviral altamente ativa (HAART), acompanhadas na Santa Casa de São Paulo (SP). A genotipagem foi realizada com produtos purificados de reação em cadeia da polimerase (PCR) de RNA retrotranscrito, utilizando-se o kit comercial Viroseq HIV-1 Genotyping System 2.0 ou a técnica de nested PCR in-house. O sequenciamento foi realizado com equipamento automático (ABI 3100). As mutações de resistência antirretroviral (ARV) foram analisadas no Stanford HIV Drug Resistance Database e a subtipagem realizada no U.S. National Center for Biotechnology Information (NCBI), utilizando-se o programa de análises SimPlot, juntamente com a análise filogenética. Resultados: Não foi detectada nenhuma mutação de resistência primária ARV nas 24 crianças virgens de tratamento, embora tenham ocorrido mutações que podem contribuir para a resistência aos inibidores da transcriptase reversa análogos de nucleosídeos (ITRN) (12,5%) e aos inibidores da protease (IP) (95,8%). Para as 23 crianças que não responderam à HAART, foram encontradas mutações de resistência ARV aos ITR Nem 95,6% e aos inibidores da transcriptase reversa não-análogos de nucleosídeos (ITRNN) em 60,8%. Para os IP, foram observadas mutações de resistência ARV em 95,7%, 47,8% das quais apresentavam apenas polimorfismos. Nas análises de subtipagem,78,3%das sequências agruparam-se no subtipo B do HIV-1, 4,3% no C, 13% no F e 4,4% em formas recombinantes. Conclusões: Nossos resultados mostrambaixas taxas de resistência primária em crianças virgens de tratamento e altas taxas de resistência emcrianças que não responderamao tratamento ARV, o que é compatível com o uso ARV nesses pacientes.

Diversity and prevalence of antiretroviral genotypic resistance mutations among HIV-1-infected children / Diversidade e prevalência das mutações de resistência genotípica aos antirretrovirais entre crianças infectadas pelo HIV-1

OBJETIVO: Avaliar a genotipagem e subtipagem em crianças experimentadas e virgens de tratamento, assim como perfis de resistência a medicamentos através da genotipagem nessas crianças. MÉTODOS: Estudo retrospectivo de crianças HIV positivas virgens de tratamento e HIV positivas que não responderam ao tratamento pela terapia antirretroviral altamente ativa (HAART), acompanhadas na Santa Casa de São Paulo (SP). A genotipagem foi realizada com produtos purificados de reação em cadeia da polimerase (PCR) de RNA retrotranscrito, utilizando-se o kit comercial Viroseq HIV-1 Genotyping System 2.0 ou a técnica de nested PCR in-house. O sequenciamento foi realizado com equipamento automático (ABI 3100). As mutações de resistência antirretroviral (ARV) foram analisadas no Stanford HIV Drug Resistance Database e a subtipagem realizada no U.S. National Center for Biotechnology Information (NCBI), utilizando-se o programa de análises SimPlot, juntamente com a análise filogenética. RESULTADOS: Não foi detectada nenhuma mutação de resistência primária ARV nas 24 crianças virgens de tratamento, embora tenham ocorrido mutações que podem contribuir para a resistência aos inibidores da transcriptase reversa análogos de nucleosídeos (ITRN) (12,5%) e aos inibidores da protease (IP) (95,8%). Para as 23 crianças que não responderam à HAART, foram encontradas mutações de resistência ARV aos ITRN em 95,6% e aos inibidores da transcriptase reversa não-análogos de nucleosídeos (ITRNN) em 60,8%. Para os IP, foram observadas mutações de resistência ARV em 95,7%, 47,8% das quais apresentavam apenas polimorfismos. Nas análises de subtipagem, 78,3% das sequências agruparam-se no subtipo B do HIV-1, 4,3% no C, 13% no F e 4,4% em formas recombinantes. CONCLUSÕES: Nossos resultados mostram baixas taxas de resistência primária em crianças virgens de tratamento e altas taxas de resistência...

OBJECTIVE: To evaluate genotyping and subtyping in antiretroviral (ARV) naïve and experienced children, as well as drug resistance profiles through genotyping in these children. METHODS: This retrospective study assessed ARV-naïve HIV children and HIV children failing highly active antiretroviral treatment (HAART) followed up at Santa Casa de São Paulo. Genotyping was performed using purified polymerase chain reaction (PCR) products from retrotranscribed RNA using Kit Viroseq HIV-1 Genotyping System 2.0 or nested PCR in-house. Sequencing was performed using automatic equipment (ABI 3100). ARV resistance mutations were analyzed in the Stanford HIV Drug Resistance Database and subtyping was performed at the National Center for Biotechnology Information (NCBI), using SimPlot analysis, together with phylogenetic analysis. RESULTS: No primary ARV resistance mutation was detected in the 24 ARV-naïve children, although there were mutations that may contribute to resistance to nucleoside analogue reverse transcriptase inhibitors (NRTI) (12.5%) and to protease inhibitors (PI) (95.8%). For the 23 children failing HAART, we found ARV resistance mutations to NRTI in 95.6% and to non-nucleoside analogue reverse transcriptase inhibitors (NNRTI) in 60.8%. For PI, we found ARV resistance mutations in 95.7%, 47.8% of which had only polymorfisms. In the subtyping analyses, 78.3 percent of the sequences clustered in HIV-1 subtype B, 4.3% in C, 13% in F and 4.4% in recombinant forms. CONCLUSION: Our results show low rates of primary resistance in ARV-naïve children and high rates of resistance in children failing ARV treatment, which is compatible with ARV use in these patients.