Maurício Rocha e Silva is well known as the discoverer of bradykinin, the powerful hypotensive and smooth muscle stimulating polypeptide which was first detected in plasma following the addition of Bothrops jararaca venom. The discovery in São Paulo, Brazil, in 1948 was the outcome of studies on proteolytic enzymes that Rocha e Silva started in 1939 at a time when circulatory shock was considered to be mediated by histamine. This line of research was prompted by the publications of Feldberg and Kellaway which identified the release of histamine and a slow-reacting substance (SRC-C) from isolated lungs perfused with Naja venom. Rocha e Silva was interested in determining whether trypsin-like enzymes, as shown for phospholipase, had a role in the release of histamine in shock. Instead, he and his co-workers demonstrated that such an enzyme released a new autopharmacological principle, bradykinin, from a plasma globulin precursor. Studies by Ferreira and Rocha e Silva on ways of blocking plasma kinin-destroying activity led Ferreira to isolate bradykinin-potentiating peptides from B. jararaca venom. These peptides were later shown to block angiotensin-I converting enzyme and so have an effect on hypertension. The discovery of bradykinin has led to a new understanding of many physiological and pathological phenomena including circulatory shock induced by venoms and toxins.
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http://dx.doi.org/10.1016/s0041-0101(97)00008-1 | DOI Listing |
Br J Sports Med
January 2025
Faculdade de Educação Física e Dança, Universidade Federal de Goiás, Goiânia, Goiás, Brazil
Objectives: This study evaluated the representation of black researchers as authors of articles published in four peer-reviewed journals with the highest impact factors (IFs) in the field of sports science and sports medicine.
Methods: An analysis was conducted on articles published between 2018 and 2022 in four leading sports science journals with high IFs (2022): The British Journal of Sports Medicine, Journal of Sport and Health Science, Sports Medicine and Exercise Immunology Review. Data extraction from the articles included the researcher's names, sex/gender, total number of authors, number of black authors, their position in the author list, publication year, article title and type and digital object identifier.
Epilepsy Behav
December 2024
Faculty of Medicine, Postgraduate Program in Health Sciences, Federal University of Goiás, Goiânia, Brazil; Faculty of Physical Education and Dance, Federal University of Goiás, Goiânia, Brazil. Electronic address:
Purpose: This study aims to evaluate the similarity, readability, and alignment with current scientific knowledge of responses from AI-based chatbots to common questions about epilepsy and physical exercise.
Methods: Four AI chatbots (ChatGPT-3.5,ChatGPT 4, Google Gemini, and Microsoft Copilot) were evaluated.
J Clin Nurs
November 2024
Departamento de Educação, Colegiado de Educação Física, Universidade Do Estado da Bahia, Teixeira de Freitas, Bahia, Brazil.
Aim: We aim the isolated and combined effects of sedentary behaviour exposure time and physical activity levels on muscle strength in older adults.
Design: This prospective observational cohort study, analytical in nature, using exploratory survey methods and physical performance testing. With 5-year longitudinal follow-up (2015-2020).
Int J Sex Health
April 2024
Center for Psychology, Faculty of Psychology and Education Sciences, University of Porto, Porto, Portugal.
In this study, we aimed to map theories and constructs used in psychological research to address LGBTQI and Christian belonging. Through the scoping review method aligned with PRISMA-Extension for Scoping Reviews, we revised 150 studies from the psychological field between 2012 and 2022. We found conflict/negative theories, a turning point from negative to increasingly positive frameworks, exclusively positive perspectives, and broader and challenging theories.
View Article and Find Full Text PDFEpilepsy Behav Rep
June 2024
Faculty of Physical Education and Dance, Federal University of Goiás, Goiânia, Brazil.
In this paper, we discuss how artificial intelligence chatbots based on large-scale language models (LLMs) can be used to disseminate information about the benefits of physical exercise for individuals with epilepsy. LLMs have demonstrated the ability to generate increasingly detailed text and allow structured dialogs. These can be useful tools, providing guidance and advice to people with epilepsy on different forms of treatment as well as physical exercise.
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