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2.
Am J Hematol ; 98 Suppl 4: S74-S81, 2023 05.
Artigo em Inglês | MEDLINE | ID: mdl-36999459

RESUMO

COVID-19 is a complex disease manifesting in a broad severity spectrum and involving distinct organs and systems. Hyperinflammation, including complement over-activation, has a pivotal role in severe COVID-19 pathobiology, stimulating the inflammatory response, causing microangiopathy, platelet-neutrophil activation, and hypercoagulability. SARS-CoV-2 can directly activate the complement system by the classic, alternative, and lectin pathways, and infected cells can produce intracellular complement (the complesome). COVID-19 severity appears to be associated with the degree of complement activation, and it has been hypothesized that patients with COVID-19 may benefit from therapeutic complement inhibition. Different complement cascade molecules may be targeted with potential advantages and disadvantages. Which target(s) is the most effective and when is the best timing for intervention remain open questions. Early phase I and phase II clinical trials have shown promising but conflicting results, warranting phase III controlled randomized trials. Upstream complement inhibition appears to better and more effectively block hyperinflammation with potential clinical significance. Understanding how SARS-CoV-2 exploits the complement system can add precious information about the pathogenesis of other infections, inflammatory, and autoimmune diseases beyond COVID-19.


Assuntos
COVID-19 , Humanos , COVID-19/complicações , SARS-CoV-2 , Inflamação/metabolismo , Ativação do Complemento , Neutrófilos , Proteínas do Sistema Complemento/metabolismo , Proteínas do Sistema Complemento/farmacologia
3.
An Acad Bras Cienc ; 86(2): 955-971, 2014 Jun.
Artigo em Inglês | MEDLINE | ID: mdl-30514022

RESUMO

This study aimed to develop a Geographic Information System (GIS), for storage of information and geographic location of apiaries in eight counties in western Paraná; study the local flora; the land used; and the honey productivity in the harvest of 2010 in two of these areas: Marechal Cândido Rondon and Santa Helena. In order to do so we used the software SPRING, delimiting a radius of action of bees of three kilometers around the apiaries. We interviewed and registered 126 beekeepers with 383 apiaries. By using the images we selected areas with greater and lower overlap of hives in Marechal Cândido Rondon (144 and 44 hives, respectively) and Santa Helena (165 and 40 hives, respectively), in a three kilometers radius, selecting 15 colonies in each area, for the study of the parameters cited. In the multivariate analysis of the grouping, five groups were formed, by their similarity of management, indicating the higher average production in the hives of the most populated area of Santa Helena and lower average production in the most populated of Marechal Cândido Rondon. The grouping of hives, the differences in the production of honey and floristic survey indicated that these differences could be associated with management, floristic and climatic differences recorded in the period of production, in the areas studied.

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