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1.
Preprint em Inglês | bioRxiv | ID: ppbiorxiv-464225

RESUMO

The COVID-19 disease caued by the Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) has two characteristics that distinguish it from other viral infections. It affects more severely people with pre-existing comorbidities and viral load peaks prior to the onset of the symptoms. Investigating factors that could contribute to these characteristics, we found increased mTOR signaling and suppressed genes related to autophagy, lysosome, and vesicle fusion in Vero E6 cells infected with SARS-CoV-2. Transcriptomic data mining of bronchoalveolar epithelial cells from severe COVID-19 patients revealed that COVID-19 severity is associated with increased expression of genes related to mTOR signaling and decreased expression of genes related to autophagy, lysosome function, and vesicle fusion. SARS-CoV-2 infection in Vero E6 cells also resulted in virus retention inside the cells and trafficking of virus-bearing vesicles between neighboring cells. Our findings support a scenario where SARS-CoV-2 benefits from compromised autophagic flux and inhibited exocytosis in individuals with chronic hyperactivation of mTOR signaling, which might relate to undetectable proliferation and evasion of the immune system.

2.
Preprint em Inglês | medRxiv | ID: ppmedrxiv-20200329

RESUMO

The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is the agent of a major global outbreak of respiratory tract disease known as coronavirus disease-2019 (COVID-19). SARS-CoV-2 infects the lungs and may cause several immune-related complications such as lymphocytopenia and cytokine storm which are associated with the severity of the disease and predict mortality . The mechanism by which SARS-CoV-2 infection may result in immune system dysfunction is not fully understood. Here we show that SARS-CoV-2 infects human CD4+ T helper cells, but not CD8+ T cells, and is present in blood and bronchoalveolar lavage T helper cells of severe COVID-19 patients. We demonstrated that SARS-CoV-2 spike glycoprotein (S) directly binds to the CD4 molecule, which in turn mediates the entry of SARS- CoV-2 in T helper cells in a mechanism that also requires ACE2 and TMPRSS2. Once inside T helper cells, SARS-CoV-2 assembles viral factories, impairs cell function and may cause cell death. SARS-CoV-2 infected T helper cells express higher amounts of IL-10, which is associated with viral persistence and disease severity. Thus, CD4-mediated SARS-CoV-2 infection of T helper cells may explain the poor adaptive immune response of many COVID- 19 patients.

3.
Darlan da Silva Candido; Ingra Morales Claro; Jaqueline Goes de Jesus; William Marciel de Souza; Filipe Romero Rebello Moreira; Simon Dellicour; Thomas A. Mellan; Louis du Plessis; Rafael Henrique Moraes Pereira; Flavia Cristina da Silva Sales; Erika Regina Manuli; Julien Theze; Luis Almeida; Mariane Talon de Menezes; Carolina Moreira Voloch; Marcilio Jorge Fumagalli; Thais de Moura Coletti; Camila Alves Maia Silva; Mariana Severo Ramundo; Mariene Ribeiro Amorim; Henrique Hoeltgebaum; Swapnil Mishra; Mandev Gill; Luiz Max Carvalho; Lewis Fletcher Buss; Carlos Augusto Prete Jr.; Jordan Ashworth; Helder Nakaya; Pedro da Silva Peixoto; Oliver J Brady; Samuel M. Nicholls; Amilcar Tanuri; Atila Duque Rossi; Carlos Kaue Vieira Braga; Alexandra Lehmkuhl Gerber; Ana Paula Guimaraes; Nelson Gaburo Jr.; Cecilia Salete Alencar; Alessandro Clayton de Souza Ferreira; Cristiano Xavier Lima; Jose Eduardo Levi; Celso Granato; Giula Magalhaes Ferreira; Ronaldo da Silva Francisco Jr.; Fabiana Granja; Marcia Teixeira Garcia; Maria Luiza Moretti; Mauricio Wesley Perroud Jr.; Terezinha Marta Pereira Pinto Castineiras; Carolina Dos Santos Lazari; Sarah C Hill; Andreza Aruska de Souza Santos; Camila Lopes Simeoni; Julia Forato; Andrei Carvalho Sposito; Angelica Zaninelli Schreiber; Magnun Nueldo Nunes Santos; Camila Zolini Sa; Renan Pedra Souza; Luciana Cunha Resende Moreira; Mauro Martins Teixeira; Josy Hubner; Patricia Asfora Falabella Leme; Rennan Garcias Moreira; Mauricio Lacerda Nogueira; - CADDE-Genomic-Network; Neil Ferguson; Silvia Figueiredo Costa; Jose Luiz Proenca-Modena; Ana Tereza Vasconcelos; Samir Bhatt; Philippe Lemey; Chieh-Hsi Wu; Andrew Rambaut; Nick J Loman; Renato Santana Aguiar; Oliver G Pybus; Ester Cerdeira Sabino; Nuno Rodrigues Faria.
Preprint em Inglês | medRxiv | ID: ppmedrxiv-20128249

RESUMO

Brazil currently has one of the fastest growing SARS-CoV-2 epidemics in the world. Due to limited available data, assessments of the impact of non-pharmaceutical interventions (NPIs) on virus transmission and epidemic spread remain challenging. We investigate the impact of NPIs in Brazil using epidemiological, mobility and genomic data. Mobility-driven transmission models for Sao Paulo and Rio de Janeiro cities show that the reproduction number (Rt) reached below 1 following NPIs but slowly increased to values between 1 to 1.3 (1.0-1.6). Genome sequencing of 427 new genomes and analysis of a geographically representative genomic dataset from 21 of the 27 Brazilian states identified >100 international introductions of SARS-CoV-2 in Brazil. We estimate that three clades introduced from Europe emerged between 22 and 27 February 2020, and were already well-established before the implementation of NPIs and travel bans. During this first phase of the epidemic establishment of SARS-CoV-2 in Brazil, we find that the virus spread mostly locally and within-state borders. Despite sharp decreases in national air travel during this period, we detected a 25% increase in the average distance travelled by air passengers during this time period. This coincided with the spread of SARS-CoV-2 from large urban centers to the rest of the country. In conclusion, our results shed light on the role of large and highly connected populated centres in the rapid ignition and establishment of SARS-CoV-2, and provide evidence that current interventions remain insufficient to keep virus transmission under control in Brazil. One Sentence SummaryJoint analysis of genomic, mobility and epidemiological novel data provide unique insight into the spread and transmission of the rapidly evolving epidemic of SARS-CoV-2 in Brazil.

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