Portuguese
Albanian
Arabic
Armenian
Azerbaijani
Belarusian
Bengali
Bosnian
Catalan
Czech
Danish
Deutsch
Dutch
English
Estonian
Finnish
Français
Greek
Haitian Creole
Hebrew
Hindi
Hungarian
Icelandic
Indonesian
Irish
Italian
Japanese
Korean
Latvian
Lithuanian
Macedonian
Mongolian
Norwegian
Persian
Polish
Portuguese
Romanian
Russian
Serbian
Slovak
Slovenian
Spanish
Swahili
Swedish
Turkish
Ukrainian
Vietnamese
Български
中文(简体)
中文(繁體)
Ceskoslovenska epidemiologie, mikrobiologie, imunologie 1993-Mar

[Relation between the level of infection in Ixodes ricinus with Francisella tularensis and the level of bacteremia in the host].

Apenas usuários registrados podem traduzir artigos
Entrar Inscrever-se
O link é salvo na área de transferência
V Výrosteková

Palavras-chave

Resumo

The dynamics of bacteremia on white mice subcutaneously infected with an inoculum of 100 and 10 cells of F. tularensis (strain 273) was compared in two parallel experiments. The rise of bacteremia was relatively uniform, about 3 logarithms a day in both groups of animals, so that it reached values of 10(9)-10(10) cells per 1 ml of blood ante finem. Larvae of Ixodes ricinus were fed on white mice in different stages of bacteremia, so that groups of ticks with different degrees of infection were obtained. Our results of quantitative examination show an evident correlation between the degree of bacteremia of the host and the degree of infection of ticks. The highest values of positivity 10(6)-10(7) cells were recorded in larvae, which finished their feeding on the day of the host's death, during the time when bacteremia was reaching the highest degree 10(10) cells per ml of the blood. Persistence of the agent in the organism of infected larvae could be observed up to hatching, under given experimental conditions one month after infection. In nymphs developed from larvae with the highest degree of infection this ability was preserved in about one third of individuals still after 5 months of starvation. In ticks with low degrees of infection it disappeared during the experiments.

Junte-se à nossa
página do facebook

O mais completo banco de dados de ervas medicinais apoiado pela ciência

  • Funciona em 55 idiomas
  • Curas herbais apoiadas pela ciência
  • Reconhecimento de ervas por imagem
  • Mapa GPS interativo - marcar ervas no local (em breve)
  • Leia publicações científicas relacionadas à sua pesquisa
  • Pesquise ervas medicinais por seus efeitos
  • Organize seus interesses e mantenha-se atualizado com as notícias de pesquisa, testes clínicos e patentes

Digite um sintoma ou doença e leia sobre ervas que podem ajudar, digite uma erva e veja as doenças e sintomas contra os quais ela é usada.
* Todas as informações são baseadas em pesquisas científicas publicadas

Google Play badgeApp Store badge