Investigating the aetiology of adverse events following HPV vaccination with systems vaccinology

Campbell-Tofte, Joan; Vrahatis, Aristidis G.; Josefsen, Knud; Mehlsen, Jesper; Winther, Kaj

doi:10.1007/s00018-018-2925-6

Cited by 6 publications

(6 citation statements)

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“…While the underlying mechanism of unexpected and non-specific adverse effects after HPV vaccination is not understood, some authors propose a multifactorial approach to prediction of future susceptibility to adverse effect [36,37]. It is possible that a complex interplay between individual immune response as a result of HPV immunization and previous health conditions as well as genetic susceptibility of an individual, could play a role in generating the onset of adverse effects of HPV vaccination, particularly that of the autonomic nervous system [36].…”

Section: Discussionmentioning

confidence: 99%

“…It is possible that a complex interplay between individual immune response as a result of HPV immunization and previous health conditions as well as genetic susceptibility of an individual, could play a role in generating the onset of adverse effects of HPV vaccination, particularly that of the autonomic nervous system [36]. When considering the origins of adverse effects due to HPV vaccination, beside individual's genetic profile, gut microbiome and serum biomarkers could provide a more detailed evidence as to the propensity of having post-vaccination adverse effects [37].…”

Section: Discussionmentioning

confidence: 99%

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Human Papillomavirus Vaccination and Physical and Mental Health Complaints Among Female Students in Secondary Education Institutions in Denmark

et al. 2020

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Background: Previous studies have not explored the effect of HPV vaccination on health status at longer time interval. Similarly, self-reported physical and mental health in recipients of HPV vaccine has not been studied.Objective: To evaluate whether HPV vaccination was associated with physical and mental health complaints among girls in secondary education institutions. Design: Prospective cohort study.Participants: This study used data from girls aged 15-20 years who participated in the Danish National Youth Study (DNYS) 2014. Data on HPV vaccination was retrieved from the Danish Vaccination Register. Main Measures:Participants were asked whether they had experienced headaches, stomachache, neck pain, menstrual cramps, sore throat, sadness, irritation, nervousness and sleep problems in the past six months. Key results:Of 41,333 girls, 39,145 (94.7%) received at least one dose of HPV vaccine. The most prevalent health complaint among vaccinated and not vaccinated females was "been irritable" (88.2% and 88.4%, respectively). The lowest proportion of health complaints was stomachache (49.6% in vaccinated and in 50.4% in unvaccinated girls). Regression model, adjusted for sociodemographic characteristics and health behavior, showed that HPV vaccination was associated with lower likelihood of reporting sore throat (odd ratio [OR] 0.86, 95% confidence interval [CI] 0.78-0.95) and being sad (OR 0.86, 95%CI 0.76-0.97). Similar results were observed when HPV vaccination status was analyzed according to number of doses received. Conclusion:We conclude that HPV vaccination was not associated with physical and mental health complaints among girls in secondary education institutions in Denmark after a median of 5.3 years since HPV vaccination.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Human Papillomavirus Vaccination and Physical and Mental Health Complaints Among Female Students in Secondary Education Institutions in Denmark

et al. 2020

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“…14 Similarly, the same strategy can be used to predict reactogenicity of vaccines. 15 Despite the enormous importance of machine learning methods in predicting the beneficial or harmful effects of vaccination, most vaccinologists do not understand the technical details of these methods. We try to describe here, in an accessible way, how machine learning can be utilized within systems vaccinology.…”

Section: Introductionmentioning

confidence: 99%

Methods for predicting vaccine immunogenicity and reactogenicity

Gonzalez-Dias

Lee

Sorgi

et al. 2019

Human Vaccines & Immunotherapeutics

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Subjects receiving the same vaccine often show different levels of immune responses and some may even present adverse side effects to the vaccine. Systems vaccinology can combine omics data and machine learning techniques to obtain highly predictive signatures of vaccine immunogenicity and reactogenicity. Currently, several machine learning methods are already available to researchers with no background in bioinformatics. Here we described the four main steps to discover markers of vaccine immunogenicity and reactogenicity: (1) Preparing the data; (2) Selecting the vaccinees and relevant genes; (3) Choosing the algorithm; (4) Blind testing your model. With the increasing number of Systems Vaccinology datasets being generated, we expect that the accuracy and robustness of signatures of vaccine reactogenicity and immunogenicity will significantly improve.

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“…Adversomics presupposes that vaccine adverse reactions and events are not random and are predetermined genetically and in other ways. Immune-mediated vaccine adverse events are the primary outcomes of interest for the field of adversomics (184,192). New biologic understandings, and the necessity of preventing serious adverse vaccine events, are critical to enhancing and-in some population groups-restoring public trust in vaccine safety, and for creating new knowledge applied to developing new vaccines that are both safe and effective.…”

Section: Barrier #4: New Vaccines and Vaccine Safetymentioning

confidence: 99%

Current Challenges in Vaccinology

et al. 2020

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The development of vaccines, which prime the immune system to respond to future infections, has led to global declines in morbidity and mortality from dreadful infectious communicable diseases. However, many pathogens of public health importance are highly complex and/or rapidly evolving, posing unique challenges to vaccine development. Several of these challenges include an incomplete understanding of how immunity develops, host and pathogen genetic variability, and an increased societal skepticism regarding vaccine safety. In particular, new high-dimensional omics technologies, aided by bioinformatics, are driving new vaccine development (vaccinomics). Informed by recent insights into pathogen biology, host genetic diversity, and immunology, the increasing use of genomic approaches is leading to new models and understanding of host immune system responses that may provide solutions in the rapid development of novel vaccine candidates.

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Investigating the aetiology of adverse events following HPV vaccination with systems vaccinology

Cited by 6 publications

References 147 publications

Human Papillomavirus Vaccination and Physical and Mental Health Complaints Among Female Students in Secondary Education Institutions in Denmark

Human Papillomavirus Vaccination and Physical and Mental Health Complaints Among Female Students in Secondary Education Institutions in Denmark

Methods for predicting vaccine immunogenicity and reactogenicity

Current Challenges in Vaccinology

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