ReviewInterindividual variations in the efficacy and toxicity of vaccines
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.
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