دورية أكاديمية

H3N2 influenza hemagglutination inhibition method qualification with data driven statistical methods for human clinical trials

التفاصيل البيبلوغرافية
العنوان: H3N2 influenza hemagglutination inhibition method qualification with data driven statistical methods for human clinical trials
المؤلفون: Sheetal Sawant, Sarah Anne Gurley, R. Glenn Overman, Angelina Sharak, Sarah V. Mudrak, Thomas Oguin, Gregory D. Sempowski, Marcella Sarzotti-Kelsoe, Emmanuel B. Walter, Hang Xie, Marcela F. Pasetti, M. Anthony Moody, Georgia D. Tomaras
المصدر: Frontiers in Immunology, Vol 14 (2023)
بيانات النشر: Frontiers Media S.A., 2023.
سنة النشر: 2023
المجموعة: LCC:Immunologic diseases. Allergy
مصطلحات موضوعية: hemagglutination inhibition (HAI), influenza, qualification, antibody, statistical analysis, data pipeline, Immunologic diseases. Allergy, RC581-607
الوصف: IntroductionHemagglutination inhibition (HAI) antibody titers to seasonal influenza strains are important surrogates for vaccine-elicited protection. However, HAI assays can be variable across labs, with low sensitivity across diverse viruses due to lack of standardization. Performing qualification of these assays on a strain specific level enables the precise and accurate quantification of HAI titers. Influenza A (H3N2) continues to be a predominant circulating subtype in most countries in Europe and North America since 1968 and is thus a focus of influenza vaccine research.MethodsAs a part of the National Institutes of Health (NIH)-funded Collaborative Influenza Vaccine Innovation Centers (CIVICs) program, we report on the identification of a robust assay design, rigorous statistical analysis, and complete qualification of an HAI assay using A/Texas/71/2017 as a representative H3N2 strain and guinea pig red blood cells and neuraminidase (NA) inhibitor oseltamivir to prevent NA-mediated agglutination.ResultsThis qualified HAI assay is precise (calculated by the geometric coefficient of variation (GCV)) for intermediate precision and intra-operator variability, accurate calculated by relative error, perfectly linear (slope of -1, R-Square 1), robust (
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 1664-3224
Relation: https://www.frontiersin.org/articles/10.3389/fimmu.2023.1155880/full; https://doaj.org/toc/1664-3224
DOI: 10.3389/fimmu.2023.1155880
URL الوصول: https://doaj.org/article/fb09ca27495b4849a863aa424e95e29c
رقم الأكسشن: edsdoj.fb09ca27495b4849a863aa424e95e29c
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:16643224
DOI:10.3389/fimmu.2023.1155880