Incidence of Leptospirosis infection in the East Zone of Sao Paulo City, Brazil

Abstract Background Leptospirosis is a zoonosis which is spread through contamined running water. This contaminations is seriously affected by the flooding which occurs in the area surrounding the Aricanduva river. The transmission of the disease results mainly from the contact of water with soil contaminated by the urine of infected animals. We aimed to conduct an epidemiological survey on Leptospirosis cases in Sao Paulo East Zone area. Method The analysis conducted in this study was based on data collected from the health authorities of that region close the Aricanduva river between 2007 and 2008 years, which give the rates of confirmed cases, mortality and death from human Leptospirosis. Other information concerned with the relationships among rainfall index, points of flooding and incidence of Leptospirosis. Results We observed a direct and important water contamination. Records of flooding points and dates of the reported cases in the region showed a direct relationship from which the period of higher rainfall also recorded an increase in cases. The annual record of the city and the region and rainfall regions also presented correlation. Conclusion The association between the indices of flooding and Leptospirosis cases indicates that preventive measures are necessary to avoid exposing the community

The New Coronavirus (SARS-CoV-2): A Comprehensive Review on Immunity and the Application of Bioinformatics and Molecular Modeling to the Discovery of Potential Anti-SARS-CoV-2 Agents

On March 11, 2020, the World Health Organization (WHO) officially declared the outbreak caused by the new coronavirus (SARS-CoV-2) a pandemic. The rapid spread of the disease surprised the scientific and medical community. Based on the latest reports, news, and scientific articles published, there is no doubt that the coronavirus has overloaded health systems globally. Practical actions against the recent emergence and rapid expansion of the SARS-CoV-2 require the development and use of tools for discovering new molecular anti-SARS-CoV-2 targets. Thus, this review presents bioinformatics and molecular modeling strategies that aim to assist in the discovery of potential anti-SARS-CoV-2 agents. Besides, we reviewed the relationship between SARS-CoV-2 and innate immunity, since understanding the structures involved in this infection can contribute to the development of new therapeutic targets. Bioinformatics is a technology that assists researchers in coping with diseases by investigating genetic sequencing and seeking structural models of potential molecular targets present in SARS-CoV2. The details provided in this review provide future points of consideration in the field of virology and medical sciences that will contribute to clarifying potential therapeutic targets for anti-SARS-CoV-2 and for understanding the molecular mechanisms responsible for the pathogenesis and virulence of SARS-CoV-2

Tratamento farmacológico do transtorno de ansiedade generalizada: perspectivas futuras Pharmacological treatment of generalized anxiety disorder: future perspectives

O presente artigo apresenta uma visão atualizada e ampla do tratamento farmacológico do transtorno de ansiedade generalizada (TAG). São revistos os medicamentos com eficácia comprovada em estudos controlados e atualmente disponíveis na clínica (benzodiazepínicos, buspirona, antidepressivos, betabloqueadores, antipsicóticos e extrato de kava-kava). A seguir, baseados nesses dados, propõe-se um algoritmo de tratamento do TAG. São apresentadas as principais linhas de pesquisa de novos fármacos ansiolíticos, descrevendo os principais achados clínicos e pré-clínicos.<br>This article presents an updated and broad perspective of the pharmacological treatment of generalized anxiety disorder (GAD). Medications proven to be efficacious in controlled studies and available in the clinic setting were reviewed (benzodiazepines, buspirone, antidepressives, beta-blocking agents, antipsychotics and kava-kava extract). From this data, an algorithm for GAD treatment is proposed. In addition, the main research lines on new anxiolytic drugs and their stage of clinical or pre-clinical development are presented