Structure of general-population antibody titer distributions to influenza A virus

Nguyen Thi Duy Nhat, Stacy Todd, Erwin De Bruin, Tran Thi Nhu Thao, Nguyen Ha Thao Vy, Tran Minh Quan, Dao Nguyen Vinh, Janko Van Beek, Pham Hong Anh, Ha Minh Lam, Nguyen Thanh Hung, Nguyen Thi Le Thanh, Huynh Le Anh Huy, Vo Thi Hong Ha, Stephen Baker, Guy E. Thwaites, Nguyen Thi Nam Lien, Tran Thi Kim Hong, Jeremy Farrar, Cameron P. Simmons & 3 others Nguyen Van Vinh Chau, Marion Koopmans, Maciej F. Boni

Research output: Contribution to journalArticle

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Abstract

Seroepidemiological studies aim to understand population-level exposure and immunity to infectious diseases. Their results are normally presented as binary outcomes describing the presence or absence of pathogen-specific antibody, despite the fact that many assays measure continuous quantities. A population's natural distribution of antibody titers to an endemic infectious disease may include information on multiple serological states - naiveté, recent infection, non-recent infection, childhood infection - depending on the disease in question and the acquisition and waning patterns of immunity. In this study, we investigate 20,152 general-population serum samples from southern Vietnam collected between 2009 and 2013 from which we report antibody titers to the influenza virus HA1 protein using a continuous titer measurement from a protein microarray assay. We describe the distributions of antibody titers to subtypes 2009 H1N1 and H3N2. Using a model selection approach to fit mixture distributions, we show that 2009 H1N1 antibody titers fall into four titer subgroups and that H3N2 titers fall into three subgroups. For H1N1, our interpretation is that the two highest-titer subgroups correspond to recent and historical infection, which is consistent with 2009 pandemic attack rates. Similar interpretations are available for H3N2, but right-censoring of titers makes these interpretations difficult to validate.

Original languageEnglish (US)
Article number6060
JournalScientific reports
Volume7
Issue number1
DOIs
StatePublished - Dec 1 2017

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Influenza A virus
Antibodies
Population
Infection
Communicable Diseases
Immunity
Endemic Diseases
Protein Array Analysis
Vietnam
Seroepidemiologic Studies
Pandemics
Orthomyxoviridae
Demography
Serum
Proteins

All Science Journal Classification (ASJC) codes

  • General

Cite this

Nhat, N. T. D., Todd, S., De Bruin, E., Thao, T. T. N., Vy, N. H. T., Quan, T. M., ... Boni, M. F. (2017). Structure of general-population antibody titer distributions to influenza A virus. Scientific reports, 7(1), [6060]. https://doi.org/10.1038/s41598-017-06177-0
Nhat, Nguyen Thi Duy ; Todd, Stacy ; De Bruin, Erwin ; Thao, Tran Thi Nhu ; Vy, Nguyen Ha Thao ; Quan, Tran Minh ; Vinh, Dao Nguyen ; Van Beek, Janko ; Anh, Pham Hong ; Lam, Ha Minh ; Hung, Nguyen Thanh ; Le Thanh, Nguyen Thi ; Huy, Huynh Le Anh ; Ha, Vo Thi Hong ; Baker, Stephen ; Thwaites, Guy E. ; Lien, Nguyen Thi Nam ; Hong, Tran Thi Kim ; Farrar, Jeremy ; Simmons, Cameron P. ; Chau, Nguyen Van Vinh ; Koopmans, Marion ; Boni, Maciej F. / Structure of general-population antibody titer distributions to influenza A virus. In: Scientific reports. 2017 ; Vol. 7, No. 1.
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abstract = "Seroepidemiological studies aim to understand population-level exposure and immunity to infectious diseases. Their results are normally presented as binary outcomes describing the presence or absence of pathogen-specific antibody, despite the fact that many assays measure continuous quantities. A population's natural distribution of antibody titers to an endemic infectious disease may include information on multiple serological states - naivet{\'e}, recent infection, non-recent infection, childhood infection - depending on the disease in question and the acquisition and waning patterns of immunity. In this study, we investigate 20,152 general-population serum samples from southern Vietnam collected between 2009 and 2013 from which we report antibody titers to the influenza virus HA1 protein using a continuous titer measurement from a protein microarray assay. We describe the distributions of antibody titers to subtypes 2009 H1N1 and H3N2. Using a model selection approach to fit mixture distributions, we show that 2009 H1N1 antibody titers fall into four titer subgroups and that H3N2 titers fall into three subgroups. For H1N1, our interpretation is that the two highest-titer subgroups correspond to recent and historical infection, which is consistent with 2009 pandemic attack rates. Similar interpretations are available for H3N2, but right-censoring of titers makes these interpretations difficult to validate.",
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Nhat, NTD, Todd, S, De Bruin, E, Thao, TTN, Vy, NHT, Quan, TM, Vinh, DN, Van Beek, J, Anh, PH, Lam, HM, Hung, NT, Le Thanh, NT, Huy, HLA, Ha, VTH, Baker, S, Thwaites, GE, Lien, NTN, Hong, TTK, Farrar, J, Simmons, CP, Chau, NVV, Koopmans, M & Boni, MF 2017, 'Structure of general-population antibody titer distributions to influenza A virus', Scientific reports, vol. 7, no. 1, 6060. https://doi.org/10.1038/s41598-017-06177-0

Structure of general-population antibody titer distributions to influenza A virus. / Nhat, Nguyen Thi Duy; Todd, Stacy; De Bruin, Erwin; Thao, Tran Thi Nhu; Vy, Nguyen Ha Thao; Quan, Tran Minh; Vinh, Dao Nguyen; Van Beek, Janko; Anh, Pham Hong; Lam, Ha Minh; Hung, Nguyen Thanh; Le Thanh, Nguyen Thi; Huy, Huynh Le Anh; Ha, Vo Thi Hong; Baker, Stephen; Thwaites, Guy E.; Lien, Nguyen Thi Nam; Hong, Tran Thi Kim; Farrar, Jeremy; Simmons, Cameron P.; Chau, Nguyen Van Vinh; Koopmans, Marion; Boni, Maciej F.

In: Scientific reports, Vol. 7, No. 1, 6060, 01.12.2017.

Research output: Contribution to journalArticle

TY - JOUR

T1 - Structure of general-population antibody titer distributions to influenza A virus

AU - Nhat, Nguyen Thi Duy

AU - Todd, Stacy

AU - De Bruin, Erwin

AU - Thao, Tran Thi Nhu

AU - Vy, Nguyen Ha Thao

AU - Quan, Tran Minh

AU - Vinh, Dao Nguyen

AU - Van Beek, Janko

AU - Anh, Pham Hong

AU - Lam, Ha Minh

AU - Hung, Nguyen Thanh

AU - Le Thanh, Nguyen Thi

AU - Huy, Huynh Le Anh

AU - Ha, Vo Thi Hong

AU - Baker, Stephen

AU - Thwaites, Guy E.

AU - Lien, Nguyen Thi Nam

AU - Hong, Tran Thi Kim

AU - Farrar, Jeremy

AU - Simmons, Cameron P.

AU - Chau, Nguyen Van Vinh

AU - Koopmans, Marion

AU - Boni, Maciej F.

PY - 2017/12/1

Y1 - 2017/12/1

N2 - Seroepidemiological studies aim to understand population-level exposure and immunity to infectious diseases. Their results are normally presented as binary outcomes describing the presence or absence of pathogen-specific antibody, despite the fact that many assays measure continuous quantities. A population's natural distribution of antibody titers to an endemic infectious disease may include information on multiple serological states - naiveté, recent infection, non-recent infection, childhood infection - depending on the disease in question and the acquisition and waning patterns of immunity. In this study, we investigate 20,152 general-population serum samples from southern Vietnam collected between 2009 and 2013 from which we report antibody titers to the influenza virus HA1 protein using a continuous titer measurement from a protein microarray assay. We describe the distributions of antibody titers to subtypes 2009 H1N1 and H3N2. Using a model selection approach to fit mixture distributions, we show that 2009 H1N1 antibody titers fall into four titer subgroups and that H3N2 titers fall into three subgroups. For H1N1, our interpretation is that the two highest-titer subgroups correspond to recent and historical infection, which is consistent with 2009 pandemic attack rates. Similar interpretations are available for H3N2, but right-censoring of titers makes these interpretations difficult to validate.

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