Elsevier

Toxicology

Volume 278, Issue 2, 5 December 2010, Pages 204-210
Toxicology

Review
Interindividual variations in the efficacy and toxicity of vaccines

https://doi.org/10.1016/j.tox.2009.10.008Get rights and content

Abstract

A number of currently available vaccines have shown significant differences in the magnitude of immune responses and toxicity in individuals undergoing vaccination. A number of factors may be involved in the variations in immune responses, which include age, gender, race, amount and quality of the antigen, the dose administered and to some extent the route of administration, and genetics of immune system. Hence, it becomes imperative that researchers have tools such as genomics and proteomics at their disposal to predict which set of population is more likely to be non-responsive or develop toxicity to vaccines. In this article, we briefly review the influence of pharmacogenomics biomarkers on the efficacy and toxicity of some of the most frequently reported vaccines that showed a high rate of variability in response and toxicity towards hepatitis B, measles, mumps, rubella, influenza, and AIDS/HIV.

Introduction

Similar to interindividual differences in drug response (Bhathena and Spear, 2008), a number of currently available vaccines have shown significant differences in the magnitude of immune responses in individuals undergoing vaccination. It has been postulated that, a number of factors may be involved in these variations in immune responses. These factors include age, gender, race, amount and quality of the antigen, the dose administered and to some extent the route of administration, and genetics of immune system. Most of these factors can be grouped into variations caused by biology and genomics of the host and the pathogen. In addition, the environmental factors such as smoking, alcohol consumption and diet can potentially alter biology and genomic factors (Poland et al., 2008a). In a recent study (Poland et al., 2007), the term “vaccinomics” was defined as the areas of immunogenetics and immunogenomics which provide a far better understanding of how an array of factors and/or molecules play critical roles in the regulation of innate and adaptive immune responses. The examples of such molecules include human leukocyte antigen (HLA), toll like receptor (TLR) and their signaling components, cytokine receptors and genes as well as transporter associated with antigen processing (TAP), which play a role in contributing to the variations in the immune response due to genetic polymorphisms (Poland et al., 2007).

The role of genomics in determining the extent of immune response is still in its infancy with only a handful of diseases investigated in this regard. Some of the most extensively researched infectious diseases include measles, hepatitis B, hepatitis C, human papillomavirus and influenza (Ovsyannikova et al., 2004, Poland et al., 2008a). For example, HLA genes are the most highly polymorphic genes in the human genome. Moreover, HLA genes play critical roles in establishing T cell and antibody responses against infectious agents. Polymorphism in HLA genes has been shown to significantly impact processing and presentation of peptides which originate from pathogens that ultimately affects the type of T cell and B cell responses induced.

Due to the increasing amount of reports regarding the non-responsiveness or variations of responsiveness in vaccinated individuals it becomes imperative that researchers have tools such as genomics and proteomics at their disposal to predict which set of population is more likely to develop toxicity to a certain type of vaccine administered. Furthermore, the norm that, “one size fits all” which was the basis of designing vaccines so far increasingly needs to be reassessed for majority of the vaccines (Jacobson and Poland, 2004, Poland et al., 2008a).

In the following sections, we have briefly reviewed the influence of pharmacogenomics on the efficacy and toxicity of some of the most frequently reported vaccines that showed a high rate of non-responders including hepatitis B, measles, mumps, rubella and influenza, AIDS/HIV (Table 1).

Section snippets

Hepatitis A and B

The vaccinated individuals show significant interindividual variations in immune response to hepatitis B vaccine. For instance, the approved hepatitis B vaccine is given in vaccine doses ranging from 10 to 40 μg depending on the targeted population. In addition to dose variation, specific segments of population fail to respond to the hepatitis B vaccine, including obese individuals, smokers, and immune-compromised individuals. In general, 10–15% of the population fails to respond to the

Genomics in vaccine development

Currently the vaccine development is based on starting from a known genomic sequence of a pathogen to identify a suitable antigen. However, because of the completion of human genome project, as well as a number of bacterial and microbial pathogens genome projects, and also due to the technical advances achieved in the field of biotechnology, the identification and development of an antigen might be achievable in a few years. In contrast, in the pre-genomic era, the methods of identifying an

Biomarkers and their potential in vaccine development

The genomic and proteomic profiles of vaccinated population can be compared to subpopulation that shows adverse effects to vaccination. Such comparisons can be used to identify and validate biomarkers for potential adverse effects as a result of vaccination. For instance, vaccinia virus used for smallpox vaccination is associated with a number of adverse events. This is because the immune response generated after the smallpox vaccination is greater than what is required (Kemper et al., 2002,

Summary

With the increasing number of side effects associated with a number of vaccines reported over the years, it has become imperative to develop new technologies that can effectively assist in the development and evaluation of vaccines for efficacy and toxicity. The use of DNA, RNA and protein microarrays provides a number of advantages such as an increased flexibility in the number of genes and gene products that can be tested in the evaluation of vaccine and immune response over the traditionally

Conflict of interest statement

The authors declare that there are no conflicts of interest.

Funding

None declared.

References (70)

  • R.M. Jacobson et al.

    Studies of twins in vaccinology

    Vaccine

    (2007)
  • S.S. Lieberman-Blum et al.

    Maraviroc: a CCR5-receptor antagonist for the treatment of HIV-1 infection

    Clin. Ther.

    (2008)
  • A. Muzzi et al.

    The pan-genome: towards a knowledge-based discovery of novel targets for vaccines and antibacterials

    Drug Discov. Today

    (2007)
  • G.A. Poland et al.

    Identification of an association between HLA class II alleles and low antibody levels after measles immunization

    Vaccine

    (2001)
  • G.A. Poland et al.

    Vaccine immunogenetics: bedside to bench to population

    Vaccine

    (2008)
  • R. Rappuoli

    Reverse vaccinology

    Curr. Opin. Microbiol.

    (2000)
  • E.J. Remarque et al.

    Dose-dependent antibody response to influenza H1N1 vaccine component in elderly nursing home patients

    Exp. Gerontol.

    (1999)
  • D. Serruto et al.

    Genome-based approaches to develop vaccines against bacterial pathogens

    Vaccine

    (2009)
  • S. Shadan

    Moving forward with reverse vaccinology

    Drug Discov. Today

    (2004)
  • R.G. Webster

    Immunity to influenza in the elderly

    Vaccine

    (2000)
  • Z. Xiang et al.

    Vaxign: a web based vaccine target design program for reverse vaccinology

    Procedia Vaccinol.

    (2009)
  • B. Yucesoy et al.

    IL-1beta gene polymorphisms influence hepatitis B vaccination

    Vaccine

    (2002)
  • F.S. Albright et al.

    Evidence for a heritable predisposition to death due to influenza

    J. Infect. Dis.

    (2008)
  • C.A. Alper et al.

    Genetic prediction of nonresponse to hepatitis B vaccine

    New Engl. J. Med.

    (1989)
  • C.M. Benjamin et al.

    Joint and limb symptoms in children after immunisation with measles, mumps, and rubella vaccine

    BMJ

    (1992)
  • S. Cunningham-Rundles et al.

    Association of HLA in immune response to influenza-A immunization

    Transplant Proc.

    (1979)
  • M.P. Davenport et al.

    Naturally processed peptides from two disease-resistance-associated HLA-DR13 alleles show related sequence motifs and the effects of the dimorphism at position 86 of the HLA-DR beta chain

    Proc. Natl. Acad. Sci. U.S.A.

    (1995)
  • N. Dhiman et al.

    Associations between measles vaccine immunity and single-nucleotide polymorphisms in cytokine and cytokine receptor genes

    J. Infect. Dis.

    (2007)
  • M.C. Gauduin et al.

    Passive immunization with a human monoclonal antibody protects hu-PBL-SCID mice against challenge by primary isolates of HIV-1

    Nat. Med.

    (1997)
  • C.M. Gelder et al.

    Associations between human leukocyte antigens and nonresponsiveness to influenza vaccine

    J. Infect. Dis.

    (2002)
  • M.M. Giuliani et al.

    A universal vaccine for serogroup B meningococcus

    Proc. Natl. Acad. Sci. U. S. A.

    (2006)
  • K. Hatae et al.

    Genetic control of nonresponsiveness to hepatitis B virus vaccine by an extended HLA haplotype

    Eur. J. Immunol.

    (1992)
  • T. Hohler et al.

    A functional polymorphism in the IL-10 promoter influences the response after vaccination with HBsAg and hepatitis A

    Hepatology

    (2005)
  • H. Hyoty et al.

    Cell-mediated and humoral immunity to mumps virus antigen

    Acta Pathol. Microbiol. Immunol. Scand. C

    (1986)
  • R.M. Jacobson et al.

    The genetic basis for measles vaccine failure

    Acta Paediatr. Suppl.

    (2004)
  • Cited by (35)

    • Vaccines, Adjuvants, and the Mosaic of Autoimmunity

      2019, Mosaic of Autoimmunity: The Novel Factors of Autoimmune Diseases
    • Low-dose Thimerosal in pediatric vaccines: Adverse effects in perspective

      2017, Environmental Research
      Citation Excerpt :

      Eid et al. (2015) showed that squalene and Thimerosal contributed to the adverse reactions and symptoms of swine flu (H1N1) vaccine on albino rats. However, tools to identify inter-individual variation regarding efficacy and systemic toxicity (not related to Thimerosal) of vaccines are in their infancy (Thomas and Moridani, 2010). The standard approach to understanding the toxicity of a substance involves a) basic cell studies to unravel the mechanism of actions, and b) research in animals to assess its effects on the living organism.

    • Immunization with hepatitis B vaccine accelerates SLE-like disease in a murine model

      2014, Journal of Autoimmunity
      Citation Excerpt :

      In this context, lately, the influence of pharmacogenomics biomarkers on the efficacy and toxicity of vaccines has been reported. For instance, a high rate of variability in immune response and toxicity towards hepatitis B vaccine was observed in relation to various HLA alleles as well as polymorphism of IL-10 and IL1β genes [45]. Another line of evidence relating HBV antigens and kidney disease is the data accumulated in case-reports and case-series that documented the occurrence of nephritis following exposure to viral infection with HBV or exposure to the HBV vaccine.

    • Autoimmune/inflammatory syndrome induced by adjuvants (ASIA) 2013: Unveiling the pathogenic, clinical and diagnostic aspects

      2013, Journal of Autoimmunity
      Citation Excerpt :

      Hence, it is imperative that science aims to implement tools such as genomics and proteomics, to allow the prediction of population sets more likely to be non-responsive or develop adverse reactions to vaccines. Thomas et al. have revised this issue gathering a number of examples of genotype/gene polymorphisms mainly in the HLA gene family, related to inter-individual variation to vaccination [112]. Indeed, two kinds of vaccination exist:

    View all citing articles on Scopus
    View full text