Dataset Information

Improving Vaccine-Induced Immunity: Can Baseline Predict Outcome?

ABSTRACT: Immune signatures measured at baseline and immediately prior to vaccination may predict the immune response to vaccination. Such pre-vaccine assessment might allow not only population-based, but also more personalized vaccination strategies ('precision vaccination'). If baseline immune signatures are predictive, the underlying mechanism they reflect may also determine vaccination outcome. Thus, baseline signatures might contribute to identifying interventional targets to be modulated prior to vaccination in order to improve vaccination responses. This concept has the potential to transform vaccination strategies and usher in a new approach to improve global health.

SUBMITTER: Tsang JS

PROVIDER: S-EPMC7142696 | biostudies-literature | 2020 Jun

REPOSITORIES: biostudies-literature

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Improving Vaccine-Induced Immunity: Can Baseline Predict Outcome?

Tsang John S JS Dobaño Carlota C VanDamme Pierre P Moncunill Gemma G Marchant Arnaud A Othman Rym Ben RB Sadarangani Manish M Koff Wayne C WC Kollmann Tobias R TR

Trends in immunology 20200408 6

Immune signatures measured at baseline and immediately prior to vaccination may predict the immune response to vaccination. Such pre-vaccine assessment might allow not only population-based, but also more personalized vaccination strategies ('precision vaccination'). If baseline immune signatures are predictive, the underlying mechanism they reflect may also determine vaccination outcome. Thus, baseline signatures might contribute to identifying interventional targets to be modulated prior to va ...[more]

PMID: 32340868

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Project description:BCN02 was an exploratory, single arm study designed to evaluate a kick-and-kill therapeutic vaccine strategy in early-treated HIV infected individuals. The participants in the study received a MVA.HIVconsv vaccination before and after three cycles of infusion of romidepsin (RMD), an inhibitor of histone deacetylases that acts as a viral latency reversing agent. The inclusion of a monitored antiretroviral pause (MAP) identified 8 individuals with an early viral rebound (pVL > 2,000 HIV RNA copies/mL, < 4 weeks of MAP initiation) and 4, with a late viral rebound (pVL > 2,000 HIV RNA copies/mL, > 4 weeks of MAP initiation). In the present study, a systems biology analysis was conducted to identify the pathways modulated at transcriptomic and epigenetic level during the clinical intervention, involving vaccination and RMD, and to identify biomarkers predictive of HIV viral rebound during MAP. To this end, we studied gene expression and whole-genome DNA methylation in longitudinal PBMC samples prior and after the intervention. The main impact on host transcriptional and epigenetic signatures was observed after vaccination and RMD infusion (Vacc+RMD) with multiple pathways related to HIV infection and immune response showing changes at gene expression and DNA methylation level. Analysis of an independent cohort of individuals treated with RMD alone, showed that these changes were mainly driven by CD4 T cells. DNA methylation patterns in full PBMC obtained after full intervention (Vacc+RMD) allowed to discriminate individuals with an Early versus Late viral rebound. These individuals also showed a differential enrichment on chromatin accessibility and transcription factor binding sites. Intriguingly, 30 of the DMPs between Early and Late rebounders at Vacc+RMD were present already at baseline and were more accentuated after RMD infusion. Overall, this study provides with a deeper understanding of the mechanisms modulated during the BCN02 study and highlights the importance of DNA methylation profiles in HIV cure.

Dataset Information

Improving Vaccine-Induced Immunity: Can Baseline Predict Outcome?

Publications

Improving Vaccine-Induced Immunity: Can Baseline Predict Outcome?

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