کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
10965077 1102733 2014 6 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
A model for early onset of protection against lethal challenge with highly pathogenic H5N1 influenza virus
موضوعات مرتبط
علوم زیستی و بیوفناوری ایمنی شناسی و میکروب شناسی ایمونولوژی
پیش نمایش صفحه اول مقاله
A model for early onset of protection against lethal challenge with highly pathogenic H5N1 influenza virus
چکیده انگلیسی
Highly pathogenic avian influenza viruses of subtype H5N1 sporadically cause severe disease in humans and involve the risk of inducing a pandemic by gaining the ability for human-to-human transmission. In naïve poultry, primarily gallinaceous birds, the virus induces fatal disease and the used inactivated vaccines occasionally are unable to provide efficient and early onset of protection. Therefore, optimized vaccines must be developed and evaluated in model systems. In our study, we tested a novel H5 neuraminidase-deleted influenza A virus variant to analyze the induction of a very early onset of immunity. Ferrets, mice and chickens were each immunized with a single vaccine dose seven, three and one day before lethal challenge infection, respectively. Sound protection was conferred in 100% of animals immunized seven days prior to challenge infection. In these animals, no clinical signs were observed, and no challenge virus RNA was detected by real-time RT-PCR analyses of swabs, nasal washings, and organ samples. Moreover, the attenuated modified-live virus variant protected all chickens, mice, and ferrets as early as three days after vaccination against severe clinical signs. Chickens and ferrets developed hemagglutinin-specific antibodies after seven days, but no neuraminidase-specific antibodies, making this kind of neuraminidase-negative strain suitable for the DIVA (“differentiating vaccinated from infected animals”) strategy.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Vaccine - Volume 32, Issue 22, 7 May 2014, Pages 2631-2636
نویسندگان
, , ,