Evaluation of determinants of the serological response to the quadrivalent split‐inactivated influenza vaccine

Abstract The seasonal influenza vaccine is only effective in half of the vaccinated population. To identify determinants of vaccine efficacy, we used data from > 1,300 vaccination events to predict the response to vaccination measured as seroconversion as well as hemagglutination inhibition (HAI)...

Full description

Bibliographic Details
Main Authors: Shaohuan Wu, Ted M Ross, Michael A Carlock, Elodie Ghedin, Hyungwon Choi, Christine Vogel
Format: Article
Language:English
Published: Springer Nature 2022-05-01
Series:Molecular Systems Biology
Subjects:
Online Access:https://doi.org/10.15252/msb.202110724
_version_ 1797280665949962240
author Shaohuan Wu
Ted M Ross
Michael A Carlock
Elodie Ghedin
Hyungwon Choi
Christine Vogel
author_facet Shaohuan Wu
Ted M Ross
Michael A Carlock
Elodie Ghedin
Hyungwon Choi
Christine Vogel
author_sort Shaohuan Wu
collection DOAJ
description Abstract The seasonal influenza vaccine is only effective in half of the vaccinated population. To identify determinants of vaccine efficacy, we used data from > 1,300 vaccination events to predict the response to vaccination measured as seroconversion as well as hemagglutination inhibition (HAI) titer levels one year after. We evaluated the predictive capabilities of age, body mass index (BMI), sex, race, comorbidities, vaccination history, and baseline HAI titers, as well as vaccination month and vaccine dose in multiple linear regression models. The models predicted the categorical response for > 75% of the cases in all subsets with one exception. Prior vaccination, baseline titer level, and age were the major determinants of seroconversion, all of which had negative effects. Further, we identified a gender effect in older participants and an effect of vaccination month. BMI had a surprisingly small effect, likely due to its correlation with age. Comorbidities, vaccine dose, and race had negligible effects. Our models can generate a new seroconversion score that is corrected for the impact of these factors which can facilitate future biomarker identification.
first_indexed 2024-03-07T16:44:36Z
format Article
id doaj.art-afaaae3aace147a5afe40c6741b34032
institution Directory Open Access Journal
issn 1744-4292
language English
last_indexed 2024-03-07T16:44:36Z
publishDate 2022-05-01
publisher Springer Nature
record_format Article
series Molecular Systems Biology
spelling doaj.art-afaaae3aace147a5afe40c6741b340322024-03-03T07:07:55ZengSpringer NatureMolecular Systems Biology1744-42922022-05-01185n/an/a10.15252/msb.202110724Evaluation of determinants of the serological response to the quadrivalent split‐inactivated influenza vaccineShaohuan Wu0Ted M Ross1Michael A Carlock2Elodie Ghedin3Hyungwon Choi4Christine Vogel5Center for Genomics and Systems Biology New York University NY USADepartment of Infectious Diseases College of Veterinary Medicine University of Georgia Athens GA USADepartment of Infectious Diseases College of Veterinary Medicine University of Georgia Athens GA USACenter for Genomics and Systems Biology New York University NY USADepartment of Medicine Yong Loo Lin School of Medicine National University of Singapore Singapore City SingaporeCenter for Genomics and Systems Biology New York University NY USAAbstract The seasonal influenza vaccine is only effective in half of the vaccinated population. To identify determinants of vaccine efficacy, we used data from > 1,300 vaccination events to predict the response to vaccination measured as seroconversion as well as hemagglutination inhibition (HAI) titer levels one year after. We evaluated the predictive capabilities of age, body mass index (BMI), sex, race, comorbidities, vaccination history, and baseline HAI titers, as well as vaccination month and vaccine dose in multiple linear regression models. The models predicted the categorical response for > 75% of the cases in all subsets with one exception. Prior vaccination, baseline titer level, and age were the major determinants of seroconversion, all of which had negative effects. Further, we identified a gender effect in older participants and an effect of vaccination month. BMI had a surprisingly small effect, likely due to its correlation with age. Comorbidities, vaccine dose, and race had negligible effects. Our models can generate a new seroconversion score that is corrected for the impact of these factors which can facilitate future biomarker identification.https://doi.org/10.15252/msb.202110724human cohortimmune responseinfluenzasplit‐inactivated influenza vaccinestatistical modeling
spellingShingle Shaohuan Wu
Ted M Ross
Michael A Carlock
Elodie Ghedin
Hyungwon Choi
Christine Vogel
Evaluation of determinants of the serological response to the quadrivalent split‐inactivated influenza vaccine
Molecular Systems Biology
human cohort
immune response
influenza
split‐inactivated influenza vaccine
statistical modeling
title Evaluation of determinants of the serological response to the quadrivalent split‐inactivated influenza vaccine
title_full Evaluation of determinants of the serological response to the quadrivalent split‐inactivated influenza vaccine
title_fullStr Evaluation of determinants of the serological response to the quadrivalent split‐inactivated influenza vaccine
title_full_unstemmed Evaluation of determinants of the serological response to the quadrivalent split‐inactivated influenza vaccine
title_short Evaluation of determinants of the serological response to the quadrivalent split‐inactivated influenza vaccine
title_sort evaluation of determinants of the serological response to the quadrivalent split inactivated influenza vaccine
topic human cohort
immune response
influenza
split‐inactivated influenza vaccine
statistical modeling
url https://doi.org/10.15252/msb.202110724
work_keys_str_mv AT shaohuanwu evaluationofdeterminantsoftheserologicalresponsetothequadrivalentsplitinactivatedinfluenzavaccine
AT tedmross evaluationofdeterminantsoftheserologicalresponsetothequadrivalentsplitinactivatedinfluenzavaccine
AT michaelacarlock evaluationofdeterminantsoftheserologicalresponsetothequadrivalentsplitinactivatedinfluenzavaccine
AT elodieghedin evaluationofdeterminantsoftheserologicalresponsetothequadrivalentsplitinactivatedinfluenzavaccine
AT hyungwonchoi evaluationofdeterminantsoftheserologicalresponsetothequadrivalentsplitinactivatedinfluenzavaccine
AT christinevogel evaluationofdeterminantsoftheserologicalresponsetothequadrivalentsplitinactivatedinfluenzavaccine