Molecular testing and analysis of disease spreading during the emergence of COVID-19 in Macaé, the Brazilian National Capital of Oil.

The Brazilian strategy to overcome the spread of COVID-19 has been particularly criticized due to the lack of a national coordinating effort and an appropriate testing program. Here, a successful approach to control the spread of COVID-19 transmission is described by the engagement of public (university and governance) and private sectors (hospitals and oil companies) in Macaé, state of Rio de Janeiro, Brazil, a city known as the National Oil Capital. In 2020 between the 17th and 38th epidemiological week, over two percent of the 206,728 citizens were subjected to symptom analysis and RT-qPCR testing by the Federal University of Rio de Janeiro, with positive individuals being notified up to 48 h after swab collection. Geocodification and spatial cluster analysis were used to limit COVID-19 spreading in Macaé. Within the first semester after the outbreak of COVID-19 in Brazil, Macaé recorded 1.8% of fatalities associated with COVID-19 up to the 38th epidemiological week, which was at least five times lower than the state capital (10.6%). Overall, considering the successful experience of this joint effort of private and public engagement in Macaé, our data suggest that the development of a similar strategy countrywise could have contributed to a better control of the COVID-19 spread in Brazil. Quarantine decree by the local administration, comprehensive molecular testing coupled to scientific analysis of COVID-19 spreading, prevented the catastrophic consequences of the pandemic as seen in other populous cities within the state of Rio de Janeiro and elsewhere in Brazil.

The identification and characterization of epitopes in the 30-34 kDa Trypanosoma cruzi proteins recognized by antibodies in the serum samples of chagasic patients.

Trypanosoma cruzi proteins with molecular weight between 30 and 34 kDa have shown high reactivity in western blot assays with serum samples from chagasic individuals. However, in-depth analysis of the constituents of these protein fractions has not been performed. This is the first report of an immunoaffinity proteomic approach to identify the immunodominant 30-34 kDa proteins of T. cruzi that could eventually be used for the diagnosis of Chagas disease. We used two different sample preparation protocols for protein digestion coupled to mass spectrometry to identify proteins in the protein fraction. The immunodominant proteins and their respective epitopes were then identified by co-immunoprecipitation and excision-epitope mapping/mass spectrometry, using human sera followed by the prediction and three-dimensional structural modeling of reactive epitopes. The use of different sample preparation methods allowed the identification of a relatively high number of proteins, some of which were only identified after one or multiple sample preparation and digestion protocols. Seven immunodominant proteins were identified by co-immunoprecipitation with purified IgGs from chagasic serum samples. Moreover, six reactive peptide epitopes were detected in four of these proteins by excision-epitope mapping/mass spectrometry. Three-dimensional structural models were obtained for the immunoreactive peptides, which correlated well with the linear B-cell epitope prediction tools.