Slovenian
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)
Journal of Infectious Diseases 2003-Dec

A novel recombinant antigen for immunodiagnosis of human cystic echinococcosis.

Samo registrirani uporabniki lahko prevajajo članke
Prijava / prijava
Povezava se shrani v odložišče
Jun Li
Wen-Bao Zhang
Marianna Wilson
Akira Ito
Donald P McManus

Ključne besede

Povzetek

A pool of serum samples from mice infected with oncospheres (eggs) of Echinococcus granulosus was used to screen a cDNA library constructed with RNA extracted from protoscolex larvae from sheep hydatid cysts. One immunoreactive clone, designated EpC1, was shown to encode a protein of 76 residues. The complementary DNA (cDNA) fragment was subcloned into an expression vector, pET-41b(+), and the resulting recombinant EpC1 glutathione S-transferase (GST) fusion protein (rEpC1-GST) was expressed in Escherichia coli and was affinity purified against the GST tag. Immunoglobulin G was the dominant antibody isotypes generated against rEpC1-GST. A total of 896 human serum samples were used to evaluate the diagnostic sensitivity and specificity of the fusion protein by immunoglobulin G immunoblotting; 324 serum samples from patients with cystic echinococcosis (CE), 172 from patients with neurocysticercosis, 89 from patients with alveolar echinococcosis, and 241 from patients with other infections or clinical presentations, as well as 70 from confirmed-negative control subjects, yielded an overall sensitivity of 92.2% and an overall specificity of 95.6%. The combined levels of sensitivity and specificity achieved with the rEpC1-GST fusion protein for diagnosis of CE are unprecedented, taking into account the large panel of serum samples that were tested.

Pridružite se naši
facebook strani

Najbolj popolna baza zdravilnih zelišč, podprta z znanostjo

  • Deluje v 55 jezikih
  • Zeliščna zdravila, podprta z znanostjo
  • Prepoznavanje zelišč po sliki
  • Interaktivni GPS zemljevid - označite zelišča na lokaciji (kmalu)
  • Preberite znanstvene publikacije, povezane z vašim iskanjem
  • Iščite zdravilna zelišča po njihovih učinkih
  • Organizirajte svoje interese in bodite na tekočem z raziskavami novic, kliničnimi preskušanji in patenti

Vnesite simptom ali bolezen in preberite o zeliščih, ki bi lahko pomagala, vnesite zelišče in si oglejte bolezni in simptome, proti katerim se uporablja.
* Vse informacije temeljijo na objavljenih znanstvenih raziskavah

Google Play badgeApp Store badge