Literature DB >> 26667611

The confounded effects of age and exposure history in response to influenza vaccination.

Ana Mosterín Höpping1, Janet McElhaney2, Judith M Fonville1, Douglas C Powers3, Walter E P Beyer4, Derek J Smith5.   

Abstract

Numerous studies have explored whether the antibody response to influenza vaccination in elderly adults is as strong as it is in young adults. Results vary, but tend to indicate lower post-vaccination titers (antibody levels) in the elderly, supporting the concept of immunosenescence-the weakening of the immunological response related to age. Because the elderly in such studies typically have been vaccinated against influenza before enrollment, a confounding of effects occurs between age, and previous exposures, as a potential extrinsic reason for immunosenescence. We conducted a four-year study of serial annual immunizations with inactivated trivalent influenza vaccines in 136 young adults (16 to 39 years) and 122 elderly adults (62 to 92 years). Compared to data sets of previously published studies, which were designed to investigate the effect of age, this detailed longitudinal study with multiple vaccinations allowed us to also study the effect of prior vaccination history on the response to a vaccine. In response to the first vaccination, young adults produced higher post-vaccination titers, accounting for pre-vaccination titers, than elderly adults. However, upon subsequent vaccinations the difference in response to vaccination between the young and elderly age groups declined rapidly. Although age is an important factor when modeling the outcome of the first vaccination, this term lost its relevance with successive vaccinations. In fact, when we examined the data with the assumption that the elderly group had received (on average) as few as two vaccinations prior to our study, the difference due to age disappeared. Our analyses therefore show that the initial difference between the two age groups in their response to vaccination may not be uniquely explained by immunosenescence due to ageing of the immune system, but could equally be the result of the different pre-study vaccination and infection histories in the elderly.
Copyright © 2015 The Authors. Published by Elsevier Ltd.. All rights reserved.

Entities:  

Keywords:  Elderly; Immunosenescence; Influenza vaccine; Repeated vaccination; Vaccine efficacy

Mesh:

Substances:

Year:  2015        PMID: 26667611      PMCID: PMC4724805          DOI: 10.1016/j.vaccine.2015.11.058

Source DB:  PubMed          Journal:  Vaccine        ISSN: 0264-410X            Impact factor:   3.641


  23 in total

1.  Variable efficacy of repeated annual influenza vaccination.

Authors:  D J Smith; S Forrest; D H Ackley; A S Perelson
Journal:  Proc Natl Acad Sci U S A       Date:  1999-11-23       Impact factor: 11.205

2.  Influenza vaccination in 2000: recommendations and vaccine use in 50 developed and rapidly developing countries.

Authors:  G A van Essen; A M Palache; E Forleo; D S Fedson
Journal:  Vaccine       Date:  2003-05-01       Impact factor: 3.641

3.  Immunosenescence and Challenges of Vaccination against Influenza in the Aging Population.

Authors:  Adrian J Reber; Tatiana Chirkova; Jin Hyang Kim; Weiping Cao; Renata Biber; David K Shay; Suryaprakash Sambhara
Journal:  Aging Dis       Date:  2011-09-30       Impact factor: 6.745

Review 4.  Antibody induction by influenza vaccines in the elderly: a review of the literature.

Authors:  W E Beyer; A M Palache; M Baljet; N Masurel
Journal:  Vaccine       Date:  1989-10       Impact factor: 3.641

Review 5.  Antibody response to influenza vaccination in the elderly: a quantitative review.

Authors:  Katherine Goodwin; Cécile Viboud; Lone Simonsen
Journal:  Vaccine       Date:  2005-09-19       Impact factor: 3.641

6.  Cytomegalovirus infection and responsiveness to influenza vaccination in elderly residents of long-term care facilities.

Authors:  Wendy P J den Elzen; Ann C M T Vossen; Herman J M Cools; Rudi G J Westendorp; Aloys C M Kroes; Jacobijn Gussekloo
Journal:  Vaccine       Date:  2011-04-15       Impact factor: 3.641

7.  Evaluation of serological trials submitted for annual re-licensure of influenza vaccines to regulatory authorities between 1992 and 2002.

Authors:  A C G Voordouw; W E P Beyer; D J Smith; M C J M Sturkenboom; B H Ch Stricker
Journal:  Vaccine       Date:  2009-10-28       Impact factor: 3.641

8.  Annually repeated influenza vaccination improves humoral responses to several influenza virus strains in healthy elderly.

Authors:  I A de Bruijn; E J Remarque; W E Beyer; S le Cessie; N Masurel; G J Ligthart
Journal:  Vaccine       Date:  1997 Aug-Sep       Impact factor: 3.641

9.  Comparison of humoral immune responses to trivalent influenza split vaccine in young, middle-aged and elderly people.

Authors:  H Glathe; S Bigl; A Grosche
Journal:  Vaccine       Date:  1993       Impact factor: 3.641

10.  Efficacy of influenza vaccination of elderly rhesus macaques is dramatically improved by addition of a cationic lipid/DNA adjuvant.

Authors:  Timothy D Carroll; Shannon R Matzinger; Peter A Barry; Michael B McChesney; Jeffery Fairman; Christopher J Miller
Journal:  J Infect Dis       Date:  2013-10-17       Impact factor: 5.226

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  39 in total

1.  Influenza vaccine effectiveness in older adults compared with younger adults over five seasons.

Authors:  Kate Russell; Jessie R Chung; Arnold S Monto; Emily T Martin; Edward A Belongia; Huong Q McLean; Manjusha Gaglani; Kempapura Murthy; Richard K Zimmerman; Mary Patricia Nowalk; Michael L Jackson; Lisa A Jackson; Brendan Flannery
Journal:  Vaccine       Date:  2018-02-28       Impact factor: 3.641

2.  Influenza vaccine-mediated protection in older adults: Impact of influenza infection, cytomegalovirus serostatus and vaccine dosage.

Authors:  Shahzma Merani; George A Kuchel; Alison Kleppinger; Janet E McElhaney
Journal:  Exp Gerontol       Date:  2017-09-27       Impact factor: 4.032

3.  Comparative Immunogenicity of Enhanced Seasonal Influenza Vaccines in Older Adults: A Systematic Review and Meta-analysis.

Authors:  Tiffany W Y Ng; Benjamin J Cowling; Hui Zhi Gao; Mark G Thompson
Journal:  J Infect Dis       Date:  2019-04-19       Impact factor: 5.226

4.  Preexisting Immunity, Not Frailty Phenotype, Predicts Influenza Postvaccination Titers among Older Veterans.

Authors:  Puja Van Epps; Terrence Tumpey; Melissa B Pearce; Hana Golding; Patricia Higgins; Thomas Hornick; Christopher Burant; Brigid M Wilson; Richard Banks; Stefan Gravenstein; David H Canaday
Journal:  Clin Vaccine Immunol       Date:  2017-03-06

5.  Cellular immune responses of older adults to four influenza vaccines: Results of a randomized, controlled comparison.

Authors:  Arun Kumar; Janet E McElhaney; Lisa Walrond; Terry D Cyr; Shahzma Merani; Tobias R Kollmann; Scott A Halperin; David W Scheifele
Journal:  Hum Vaccin Immunother       Date:  2017-06-21       Impact factor: 3.452

Review 6.  Influenza Vaccination in Older Adults: Recent Innovations and Practical Applications.

Authors:  Melissa K Andrew; Susan K Bowles; Graham Pawelec; Laura Haynes; George A Kuchel; Shelly A McNeil; Janet E McElhaney
Journal:  Drugs Aging       Date:  2019-01       Impact factor: 3.923

7.  Challenges in estimating influenza vaccine effectiveness.

Authors:  Kylie E C Ainslie; Michael Haber; Walt A Orenstein
Journal:  Expert Rev Vaccines       Date:  2019-05-31       Impact factor: 5.217

8.  B Cell-Specific Biomarkers for Optimal Antibody Responses to Influenza Vaccination and Molecular Pathways That Reduce B Cell Function with Aging.

Authors:  Daniela Frasca; Bonnie B Blomberg
Journal:  Crit Rev Immunol       Date:  2016       Impact factor: 2.214

9.  Responders and non-responders to influenza vaccination: A DNA methylation approach on blood cells.

Authors:  Noémie Gensous; Claudio Franceschi; Bonnie B Blomberg; Chiara Pirazzini; Francesco Ravaioli; Davide Gentilini; Anna Maria Di Blasio; Paolo Garagnani; Daniela Frasca; Maria Giulia Bacalini
Journal:  Exp Gerontol       Date:  2018-01-31       Impact factor: 4.032

10.  Human immunophenotyping via low-variance, low-bias, interpretive regression modeling of small, wide data sets: Application to aging and immune response to influenza vaccination.

Authors:  Tyson H Holmes; Xiao-Song He
Journal:  J Immunol Methods       Date:  2016-05-16       Impact factor: 2.303

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