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Measuring Vaccine Responses in the Multiplex Era

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Psychoneuroimmunology

Part of the book series: Methods in Molecular Biology ((MIMB,volume 1781))

Abstract

Vaccine studies in psychoneuroimmunology (PNI) provide an insight into biopsychosocial interactions and their role in infectious diseases. How to measure vaccine responses is therefore of critical importance for PNI researchers. In this chapter, traditional and modern immunoassays for the assessment of vaccine responses are discussed, highlighting how modern multiplex techniques provide researchers with greater capacity and opportunity for novel research relating to vaccine outcomes.

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Notes

  1. 1.

    Note that due to the variability in the real-world exposure to viral particles, it is not possible to truly say that an individual is protected from infection based on antibody levels. Rather, protection estimates are probabilistic.

References

  1. Vedhara K, Cox NK, Wilcock GK et al (1999) Chronic stress in elderly carers of dementia patients and antibody response to influenza vaccination. Lancet 353:627–631

    Article  CAS  PubMed  Google Scholar 

  2. Glaser R, Sheridan J, Malarkey WB et al (2000) Chronic stress modulates the immune response to a pneumococcal pneumonia vaccine. Psychosom Med 62:804–807

    Article  CAS  PubMed  Google Scholar 

  3. Hayney MS, Coe C, Muller D et al (2014) Age and psychological influences on immune responses to trivalent inactivated influenza vaccine in the meditation or exercise for preventing acute respiratory infection (MEPARI) trial. Hum Vaccin Immunother 10:2759–2767

    Article  Google Scholar 

  4. Ayling K, Fairclough L, Tighe P et al (2018) Positive mood on the day of influenza vaccination predicts vaccine effectiveness: a prospective observational cohort study. Brain Behav Immun 67:314–323. https://doi.org/10.1016/j.bbi.2017.09.008

    Article  PubMed  Google Scholar 

  5. Phillips A (2012) The vaccination model in psychoneuroimmunology research: a review. In: Yan Q (ed) Psychoneuroimmunology: methods and protocols. Springer Science & Business Media, LLC, Santa Clara, CA, pp 355–370

    Chapter  Google Scholar 

  6. Burns VE, Gallagher S (2010) Antibody response to vaccination as a marker of in vivo immune function in psychophysiological research. Neurosci Biobehav Rev 35:122–126

    Article  CAS  PubMed  Google Scholar 

  7. Chen W, Kozlovsky B, Effros R (2009) Vaccination in the elderly: an immunological perspective. Trends Immunol 30:351–359

    Article  PubMed  PubMed Central  Google Scholar 

  8. Woods JA, Keylock KT, Lowder T et al (2009) Cardiovascular exercise training extends influenza vaccine seroprotection in sedentary older adults: the immune function intervention trial. J Am Geriatr Soc 57:2183–2191

    Article  PubMed  Google Scholar 

  9. Edwards KM, Burns VE, Reynolds T et al (2006) Acute stress exposure prior to influenza vaccination enhances antibody response in women. Brain Behav Immun 20:159–168

    Article  PubMed  Google Scholar 

  10. Vedhara K, Bennett PD, Clark S et al (2003) Enhancement of antibody responses to influenza vaccination in the elderly following a cognitive-behavioural stress management intervention. Psychother Psychosom 72:245–252

    Article  PubMed  Google Scholar 

  11. Siegrist C (2012) Vaccine immunology. In: Plotkin S, Orenstein W, Offit P (eds) Vaccines, 6th edn. Elsevier Inc., Amsterdam, pp 17–36

    Google Scholar 

  12. McElhaney JE, Ewen C, Zhou X et al (2009) Granzyme B: correlates with protection and enhanced CTL response to influenza vaccination in older adults. Vaccine 27:2418–2425

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  13. McElhaney JE, Xie D, Hager WD et al (2006) T cell responses are better correlates of vaccine protection in the elderly. J Immunol 176:6333–6339

    Article  CAS  PubMed  Google Scholar 

  14. Lange T, Dimitrov S, Bollinger T et al (2011) Sleep after vaccination boosts immunological memory. J Immunol 187:283–290

    Article  CAS  PubMed  Google Scholar 

  15. Leng SX, McElhaney JE, Walston JD et al (2008) ELISA and multiplex technologies for cytokine measurement in inflammation and aging research. J Gerontol A Biol Sci Med Sci 63:879–884

    Article  PubMed  Google Scholar 

  16. Pedersen J (2014) Hemagglutination-Inhibition Assay for Influenza Virus Subtype Identification and the Detection and Quantitation of Serum Antibodies to Influenza Virus. In: Spackman E (ed) Animal influenza virus, methods in molecular biology. Springer Science & Business Media, LLC, New York, pp 11–25

    Google Scholar 

  17. Hobson D, Curry RL, Beare AS et al (1972) The role of serum haemagglutination-inhibiting antibody in protection against challenge infection with influenza A2 and B viruses. J Hyg (Lond) 70:767–777

    Article  CAS  Google Scholar 

  18. de Jong JC, Palache AM, Beyer WEP et al (2003) Haemagglutination-inhibiting antibody to influenza virus. Dev Biol (Basel) 115:63–73

    Google Scholar 

  19. Coudeville L, Bailleux F, Riche B et al (2010) Relationship between haemagglutination-inhibiting antibody titres and clinical protection against influenza: development and application of a bayesian random-effects model. BMC Med Res Methodol 10:18

    Article  PubMed  PubMed Central  Google Scholar 

  20. Segerstrom S, Smith G (2012) Methods, variance, and error in psychoneuroimmunology research: the good, the bad, and the ugly. In: Segerstrom S (ed) The Oxford handbook of psychoneuroimmunology. Oxford University Press, New York, pp 421–432

    Chapter  Google Scholar 

  21. Chang T (1983) Binding of cells to matrixes of distinct antibodies coated on solid surface. J Immunol Methods 65:217–223

    Article  CAS  PubMed  Google Scholar 

  22. Shena M, Shalon D, Davis RW et al (1995) Quantitative monitoring of gene expression patterns with a complimentary DNA microarray. Science 270:467–470

    Article  Google Scholar 

  23. Jiang H, Deng Y, Chen H et al (2004) Joint analysis of two microarray gene-expression data sets to select lung adenocarcinoma marker genes. BMC Bioinfomatics 5:1–12

    Article  Google Scholar 

  24. Negm OH, Hamed MR, Dilnot EM et al (2015) Profiling humoral immune responses to clostridium difficile-specific antigens by protein microarray analysis. Clin Vacc Immunol 22:1033–1039

    Article  CAS  Google Scholar 

  25. Selvarajah S, Negm OH, Hamed MR et al (2014) Development and validation of protein microarray technology for simultaneous inflammatory mediator detection in human sera. Mediators Inflamm 2014:820304

    Article  PubMed  PubMed Central  Google Scholar 

  26. Tighe P, Ryder RR, Todd I et al (2015) ELISA in the multiplex era: potentials and pitfalls. Proteomics Clin Appl 9:406–422

    Article  CAS  PubMed  PubMed Central  Google Scholar 

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Author information

Authors and Affiliations

  1. Division of Primary Care, School of Medicine, University of Nottingham, Nottingham, UK

    Kieran Ayling & Kavita Vedhara

  2. School of Life Science, University of Nottingham, Nottingham, UK

    Lucy Fairclough

Authors
  1. Kieran Ayling
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  2. Kavita Vedhara
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  3. Lucy Fairclough
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Corresponding author

Correspondence to Lucy Fairclough .

Editor information

Editors and Affiliations

  1. University of Maryland University College, Adelphi, MD, PharmTao, Santa Clara, California, USA

    Qing Yan

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© 2018 Springer Science+Business Media, LLC, part of Springer Nature

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Ayling, K., Vedhara, K., Fairclough, L. (2018). Measuring Vaccine Responses in the Multiplex Era. In: Yan, Q. (eds) Psychoneuroimmunology. Methods in Molecular Biology, vol 1781. Humana Press, New York, NY. https://doi.org/10.1007/978-1-4939-7828-1_17

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  • DOI: https://doi.org/10.1007/978-1-4939-7828-1_17

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  • Publisher Name: Humana Press, New York, NY

  • Print ISBN: 978-1-4939-7827-4

  • Online ISBN: 978-1-4939-7828-1

  • eBook Packages: Springer Protocols

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