Age-seroprevalence curves for the multi-strain structure of influenza A virus

التفاصيل البيبلوغرافية
العنوان: Age-seroprevalence curves for the multi-strain structure of influenza A virus
المؤلفون: Tran Minh Quan, Marion Koopmans, Nguyen Thi Duy Nhat, Tran Thi Kim Hong, Tran Dang Nguyen, Pham Hong Anh, Nguyen Ha Thao Vy, Nguyen Thi Le Thanh, Tran Thi Nhu Thao, Cameron P. Simmons, Guy E. Thwaites, Maciej F. Boni, Erwin de Bruin, Stacy Todd, Dao Nguyen Vinh, Pham Quang Thai, Hannah E. Clapham, Huynh Thi Phuong, Nguyen Hong Ha, Marc Choisy, Nguyen Van Vinh Chau, Nguyen Thi Nam Lien
المساهمون: Virology
المصدر: Nature Communications, 12(1):6680. Nature Publishing Group
Nature Communications, Vol 12, Iss 1, Pp 1-9 (2021)
Nature Communications
بيانات النشر: Cold Spring Harbor Laboratory, 2021.
سنة النشر: 2021
مصطلحات موضوعية: Serotype, Time Factors, Epidemiology, Attack rate, General Physics and Astronomy, Hemagglutinin Glycoproteins, Influenza Virus, Antibodies, Viral, Virus Replication, medicine.disease_cause, Serology, Influenza A Virus, H1N1 Subtype, 0302 clinical medicine, Seroepidemiologic Studies, Influenza A virus, 030212 general & internal medicine, 0303 health sciences, education.field_of_study, Multidisciplinary, Geography, Antibody titer, virus diseases, 3. Good health, Vietnam, Principal component analysis, Antibody, Algorithms, Science, 030231 tropical medicine, Population, Biology, General Biochemistry, Genetics and Molecular Biology, Article, 03 medical and health sciences, SDG 3 - Good Health and Well-being, Influenza, Human, medicine, Humans, Seroprevalence, education, 030304 developmental biology, Influenza A Virus, H3N2 Subtype, General Chemistry, Models, Theoretical, Virology, Computational biology and bioinformatics, Infectious disease (medical specialty), Immunoglobulin G, biology.protein, Influenza virus
الوصف: The relationship between age and seroprevalence can be used to estimate the annual attack rate of an infectious disease. For pathogens with multiple serologically distinct strains, there is a need to describe composite exposure to an antigenically variable group of pathogens. In this study, we assay 24,402 general-population serum samples, collected in Vietnam between 2009 to 2015, for antibodies to eleven human influenza A strains. We report that a principal components decomposition of antibody titer data gives the first principal component as an appropriate surrogate for seroprevalence; this results in annual attack rate estimates of 25.6% (95% CI: 24.1% – 27.1%) for subtype H3 and 16.0% (95% CI: 14.7% – 17.3%) for subtype H1. The remaining principal components separate the strains by serological similarity and associate birth cohorts with their particular influenza histories. Our work shows that dimensionality reduction can be used on human antibody profiles to construct an age-seroprevalence relationship for antigenically variable pathogens.
Multi-strain pathogens, such as influenza, present challenges for interpretation of seroprevalence data as estimates may vary by strain. Here, the authors develop a method for estimating age-specific seroprevalence based on principal components analysis and apply it to influenza data from Vietnam.
وصف الملف: application/pdf
تدمد: 2041-1723
الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6d534bb92b2522ccc23ba38b2e7362d1Test
https://doi.org/10.1101/2021.01.03.21249160Test
حقوق: OPEN
رقم الانضمام: edsair.doi.dedup.....6d534bb92b2522ccc23ba38b2e7362d1
قاعدة البيانات: OpenAIRE