SUZETE CLEUSA FERREIRA SPINA LOMBARDI

(Fonte: Lattes)
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Projetos de Pesquisa
Unidades Organizacionais
LIM/05 - Laboratório de Poluição Atmosférica Experimental, Hospital das Clínicas, Faculdade de Medicina
LIM/31 - Laboratório de Genética e Hematologia Molecular, Hospital das Clínicas, Faculdade de Medicina

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  • article 1 Citação(ões) na Scopus
    Detection of bacterial contamination in platelet concentrates from Brazilian donors by molecular amplification of the ribosomal 16S gene
    (2018) VIANA, J. D.; FERREIRA, S. C.; MATANA, S. R.; ROSSI, F.; PATEL, P.; GARSON, J. A.; ROCHA, V.; TEDDER, R.; MENDRONE-JUNIOR, A.; LEVI, J. E.
    Objective The aim of our work was to establish a semi-automated high-throughput DNA amplification method for the universal screening of bacteria in platelet concentrates (PCs). Background Among cases of transfusion transmission of infectious agents, bacterial contamination ranks first in the number of events, morbidity and mortality. Transmission occurs mainly by transfused PCs. Automated culture is adopted by some blood banks for screening of bacterial contamination, but this procedure is expensive and has a relatively long turnaround time. Methods PCs were spiked with suspensions of five different bacterial species in a final concentration of 1 and 10 colony-forming units (CFU) per millilitre. After incubation, the presence of bacteria was investigated by real-time polymerase chain reaction (PCR) and by the Enhanced Bacterial Detection System (eBDS, Pall) assay as a reference method. Real-time PCR amplification was performed with a set of universal primers and probes targeting the 16S rRNA gene. Co-amplification of human mitochondrial DNA served as an internal control. Results Using the real-time PCR method, it was possible to detect the presence of all bacterial species tested with an initial concentration of 10 CFU mL(-1) 24 h after contamination, except for Staphylococcus hominis. The PCR assay also detected, at 24 h, the presence of Serratia marcescens and Enterobacter cloacae with an initial concentration of 1 CFU mL(-1). Conclusions The real-time PCR assay may be a reliable alternative to conventional culture methods in the screening of bacterial contamination of PCs, enabling bacterial detection even with a low initial concentration of microorganisms.
  • article 4 Citação(ões) na Scopus
    SARS-CoV-2 antibody dynamics in blood donors and COVID-19 epidemiology in eight Brazilian state capitals: A serial cross-sectional study
    (2022) PRETE JR., Carlos A.; BUSS, Lewis F.; WHITTAKER, Charles; SALOMON, Tassila; OIKAWA, Marcio K.; PEREIRA, Rafael H. M.; MOURA, Isabel C. G.; DELERINO, Lucas; BARRAL-NETTO, Manoel; TAVARES, Natalia M.; FRANCA, Rafael F. O.; BOAVENTURA, Viviane S.; MIYAJIMA, Fabio; MENDRONE-JUNIOR, Alfredo; ALMEIDA-NETO, Cesar De; SALLES, Nanci A.; FERREIRA, Suzete C.; FLADZINSKI, Karine A.; SOUZA, Luana M. de; SCHIER, Luciane K.; INOUE, Patricia M.; XABREGAS, Lilyane A.; CRISPIM, Myuki A. E.; FRAIJI, Nelson; V, Fernando L. Araujo; CARLOS, Luciana M. B.; PESSOA, Veridiana; RIBEIRO, Maisa A.; SOUZA, Rosenvaldo E. de; SILVA, Sonia M. N. da; CAVALCANTE, Anna F.; VALENCA, Maria I. B.; V, Maria da Silva; LOPES, Esther; FILHO, Luiz A.; MATEOS, Sheila O. G.; NUNES, Gabrielle T.; SILVA-JUNIOR, Alexander L.; BUSCH, Michael P.; CASTRO, Marcia C.; DYE, Christopher; RATMANN, Oliver; FARIA, Nuno R.; NASCIMENTO, Vitor H.; SABINO, Ester C.
    Background: The COVID-19 situation in Brazil is complex due to large differences in the shape and size of regional epidemics. Understanding these patterns is crucial to understand future outbreaks of SARS-CoV-2 or other respiratory pathogens in the country. Methods: We tested 97,950 blood donation samples for IgG antibodies from March 2020 to March 2021 in 8 of Brazil's most populous cities. Residential postal codes were used to obtain representative samples. Weekly age- and sex-specific seroprevalence were estimated by correcting the crude seroprevalence by test sensitivity, specificity, and antibody waning. Results: The inferred attack rate of SARS-CoV-2 in December 2020, before the Gamma variant of concern (VOC) was dominant, ranged from 19.3% (95% credible interval [CrI] 17.5-21.2%) in Curitiba to 75.0% (95% CrI 70.8-80.3%) in Manaus. Seroprevalence was consistently smaller in women and donors older than 55 years. The age-specific infection fatality rate (IFR) differed between cities and consistently increased with age. The infection hospitalisation rate increased significantly during the Gamma-dominated second wave in Manaus, suggesting increased morbidity of the Gamma VOC compared to previous variants circulating in Manaus. The higher disease penetrance associated with the health system's collapse increased the overall IFR by a minimum factor of 2.91 (95% CrI 2.43-3.53). Conclusions: These results highlight the utility of blood donor serosurveillance to track epidemic maturity and demonstrate demographic and spatial heterogeneity in SARS-CoV-2 spread.
  • article 290 Citação(ões) na Scopus
    Three-quarters attack rate of SARS-CoV-2 in the Brazilian Amazon during a largely unmitigated epidemic
    (2021) BUSS, Lewis F.; JR, Carlos A. Prete; ABRAHIM, Claudia M. M.; JR, Alfredo Mendrone; SALOMON, Tassila; ALMEIDA-NETO, Cesar de; FRANCA, Rafael F. O.; BELOTTI, Maria C.; CARVALHO, Maria P. S. S.; COSTA, Allyson G.; CRISPIM, Myuki A. E.; FERREIRA, Suzete C.; FRAIJI, Nelson A.; GURZENDA, Susie; WHITTAKER, Charles; KAMAURA, Leonardo T.; TAKECIAN, Pedro L.; PEIXOTO, Pedro da Silva; OIKAWA, Marcio K.; NISHIYA, Anna S.; ROCHA, Vanderson; SALLES, Nanci A.; SANTOS, Andreza Aruska de Souza; SILVA, Martirene A. da; CUSTER, Brian; V, Kris Parag; BARRAL-NETTO, Manoel; KRAEMER, Moritz U. G.; PEREIRA, Rafael H. M.; PYBUS, Oliver G.; BUSCH, Michael P.; CASTRO, Marcia C.; DYE, Christopher; NASCIMENTO, Vitor H.; FARIA, Nuno R.; SABINO, Ester C.
    Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) spread rapidly in Manaus, the capital of Amazonas state in northern Brazil. The attack rate there is an estimate of the final size of the largely unmitigated epidemic that occurred in Manaus. We use a convenience sample of blood donors to show that by June 2020, 1 month after the epidemic peak in Manaus, 44% of the population had detectable immunoglobulin G (IgG) antibodies. Correcting for cases without a detectable antibody response and for antibody waning, we estimate a 66% attack rate in June, rising to 76% in October. This is higher than in Sao Paulo, in southeastern Brazil, where the estimated attack rate in October was 29%. These results confirm that when poorly controlled, COVID-19 can infect a large proportion of the population, causing high mortality.
  • article 4 Citação(ões) na Scopus
    Predicting SARS-CoV-2 Variant Spread in a Completely Seropositive Population Using Semi-Quantitative Antibody Measurements in Blood Donors
    (2022) BUSS, Lewis; PRETE, Carlos A.; WHITTAKER, Charles; SALOMON, Tassila; OIKAWA, Marcio K.; PEREIRA, Rafael H. M.; MOURA, Isabel C. G.; DELERINO, Lucas; FRANCA, Rafael F. O.; MIYAJIMA, Fabio; JR, Alfredo Mendrone; ALMEIDA-NETO, Cesar; SALLES, Nanci A.; FERREIRA, Suzete C.; FLADZINSKI, Karine A.; SOUZA, Luana M. de; SCHIER, Luciane K.; INOUE, Patricia M.; XABREGAS, Lilyane A.; CRISPIM, Myuki A. E.; FRAIJI, Nelson; CARLOS, Luciana M. B.; PESSOA, Veridiana; RIBEIRO, Maisa A.; SOUZA, Rosenvaldo E. de; CAVALCANTE, Anna F.; VALENCA, Maria I. B.; V, Maria da Silva; LOPES, Esther; FILHO, Luiz A.; MATEOS, Sheila O. G.; NUNES, Gabrielle T.; SCHLESINGER, David; SILVA, Sonia Mara Nunes da; SILVA-JUNIOR, Alexander L.; CASTRO, Marcia C.; NASCIMENTO, Vitor H.; DYE, Christopher; BUSCH, Michael P.; FARIA, Nuno R.; SABINO, Ester C.
    SARS-CoV-2 serologic surveys estimate the proportion of the population with antibodies against historical variants, which nears 100% in many settings. New approaches are required to fully exploit serosurvey data. Using a SARS-CoV-2 anti-Spike (S) protein chemiluminescent microparticle assay, we attained a semi-quantitative measurement of population IgG titers in serial cross-sectional monthly samples of blood donations across seven Brazilian state capitals (March 2021-November 2021). Using an ecological analysis, we assessed the contributions of prior attack rate and vaccination to antibody titer. We compared anti-S titer across the seven cities during the growth phase of the Delta variant and used this to predict the resulting age-standardized incidence of severe COVID-19 cases. We tested similar to 780 samples per month, per location. Seroprevalence rose to >95% across all seven capitals by November 2021. Driven by vaccination, mean antibody titer increased 16-fold over the study, with the greatest increases occurring in cities with the highest prior attack rates. Mean anti-S IgG was strongly correlated (adjusted R2 = 0.89) with the number of severe cases caused by Delta. Semi-quantitative anti-S antibody titers are informative about prior exposure and vaccination coverage and may also indicate the potential impact of future SARS-CoV-2 variants.
  • article 54 Citação(ões) na Scopus
    Higher risk of death from COVID-19 in low-income and non-White populations of SAo Paulo, Brazil
    (2021) LI, Sabrina L.; PEREIRA, Rafael H. M.; JR, Carlos A. Prete; ZAREBSKI, Alexander E.; EMANUEL, Lucas; ALVES, Pedro J. H.; PEIXOTO, Pedro S.; V, Carlos K. Braga; SANTOS, Andreza Aruska de Souza; SOUZA, William M. de; BARBOSA, Rogerio J.; BUSS, Lewis F.; MENDRONE, Alfredo; ALMEIDA-NETO, Cesar de; FERREIRA, Suzete C.; SALLES, Nanci A.; MARCILIO, Izabel; WU, Chieh-Hsi; GOUVEIA, Nelson; NASCIMENTO, Vitor H.; SABINO, Ester C.; FARIA, Nuno R.; MESSINA, Jane P.
    IntroductionLittle evidence exists on the differential health effects of COVID-19 on disadvantaged population groups. Here we characterise the differential risk of hospitalisation and death in SAo Paulo state, Brazil, and show how vulnerability to COVID-19 is shaped by socioeconomic inequalities.MethodsWe conducted a cross-sectional study using hospitalised severe acute respiratory infections notified from March to August 2020 in the Sistema de Monitoramento Inteligente de SAo Paulo database. We examined the risk of hospitalisation and death by race and socioeconomic status using multiple data sets for individual-level and spatiotemporal analyses. We explained these inequalities according to differences in daily mobility from mobile phone data, teleworking behaviour and comorbidities.ResultsThroughout the study period, patients living in the 40% poorest areas were more likely to die when compared with patients living in the 5% wealthiest areas (OR: 1.60, 95% CI 1.48 to 1.74) and were more likely to be hospitalised between April and July 2020 (OR: 1.08, 95% CI 1.04 to 1.12). Black and Pardo individuals were more likely to be hospitalised when compared with White individuals (OR: 1.41, 95% CI 1.37 to 1.46; OR: 1.26, 95% CI 1.23 to 1.28, respectively), and were more likely to die (OR: 1.13, 95% CI 1.07 to 1.19; 1.07, 95% CI 1.04 to 1.10, respectively) between April and July 2020. Once hospitalised, patients treated in public hospitals were more likely to die than patients in private hospitals (OR: 1.40%, 95% CI 1.34% to 1.46%). Black individuals and those with low education attainment were more likely to have one or more comorbidities, respectively (OR: 1.29, 95% CI 1.19 to 1.39; 1.36, 95% CI 1.27 to 1.45).ConclusionsLow-income and Black and Pardo communities are more likely to die with COVID-19. This is associated with differential access to quality healthcare, ability to self-isolate and the higher prevalence of comorbidities.