Effects of infection history on dengue virus infection and pathogenicity

Tsang, Tim K., Ghebremariam, Samson L., Gresh, Lionel, Gordon, Aubree, Halloran, M. Elizabeth, Katzelnick, Leah C., Rojas, Diana Patricia, Kuan, Guillermina, Balmaseda, Angel, Sugimoto, Jonathan, Harris, Eva, Longini, Ira M., and Yang, Yang (2019) Effects of infection history on dengue virus infection and pathogenicity. Nature Communications, 10. 1246.

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The understanding of immunological interactions among the four dengue virus (DENV) serotypes and their epidemiological implications is often hampered by the lack of individuallevel infection history. Using a statistical framework that infers full infection history, we analyze a prospective pediatric cohort in Nicaragua to characterize how infection history modulates the risks of DENV infection and subsequent clinical disease. After controlling for age, one prior infection is associated with 54% lower, while two or more are associated with 91% higher, risk of a new infection, compared to DENV-naive children. Children >8 years old have 55% and 120% higher risks of infection and subsequent disease, respectively, than their younger peers. Among children with ≥1 prior infection, intermediate antibody titers increase, whereas high titers lower, the risk of subsequent infection, compared with undetectable titers. Such complex dependency needs to be considered in the design of dengue vaccines and vaccination strategies.

Item ID: 59842
Item Type: Article (Research - C1)
ISSN: 2041-1723
Keywords: epidemiology; risk factors; statistical methods; viral infection
Copyright Information: © The Author(s) 2019. Open Access: this article is licensed under a Creative Commons Attribution 4.0 International License.
Funders: National Institute of Health, Bill and Melinda Gates Foundation
Projects and Grants: NIH grant U54-GM111274, NIH grant R37-AI032042, B&MGF Pediatric Dengue Vaccine Initiative grant VE-1, Dengue Vaccine Initiative grant DV-11-07, NIH grant P01 AI106695
Date Deposited: 21 Aug 2019 00:20
FoR Codes: 42 HEALTH SCIENCES > 4202 Epidemiology > 420202 Disease surveillance @ 100%
SEO Codes: 92 HEALTH > 9201 Clinical Health (Organs, Diseases and Abnormal Conditions) > 920109 Infectious Diseases @ 100%
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