کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
6133504 1593468 2014 13 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Development of an algorithm for production of inactivated arbovirus antigens in cell culture
ترجمه فارسی عنوان
توسعه یک الگوریتم برای تولید آنتی ژن های آربیروئید غیر فعال در کشت سلولی
موضوعات مرتبط
علوم زیستی و بیوفناوری ایمنی شناسی و میکروب شناسی ویروس شناسی
چکیده انگلیسی


- An arboviral cell culture antigen production algorithm was developed.
- Three different arbovirus inactivation methods were compared and produced varying results for the antigens tested.
- One antigen production protocol was not applicable to all arboviruses.
- Arboviral antigen production needed to be optimized for each virus.

Arboviruses are medically important pathogens that cause human disease ranging from a mild fever to encephalitis. Laboratory diagnosis is essential to differentiate arbovirus infections from other pathogens with similar clinical manifestations. The Arboviral Diseases Branch (ADB) reference laboratory at the CDC Division of Vector-Borne Diseases (DVBD) produces reference antigens used in serological assays such as the virus-specific immunoglobulin M antibody-capture enzyme-linked immunosorbent assay (MAC-ELISA). Antigen production in cell culture has largely replaced the use of suckling mice; however, the methods are not directly transferable. The development of a cell culture antigen production algorithm for nine arboviruses from the three main arbovirus families, Flaviviridae, Togaviridae, and Bunyaviridae, is described here. Virus cell culture growth and harvest conditions were optimized, inactivation methods were evaluated, and concentration procedures were compared for each virus. Antigen performance was evaluated by the MAC-ELISA at each step of the procedure. The antigen production algorithm is a framework for standardization of methodology and quality control; however, a single antigen production protocol was not applicable to all arboviruses and needed to be optimized for each virus.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Virological Methods - Volume 208, November 2014, Pages 66-78
نویسندگان
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