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Distinct immunological and molecular signatures predict influenza vaccine responsiveness in the elderly (scRNA Seq)

ABSTRACT: The significant economic burden and high mortality rates resulting from seasonal influenza outbreaks, especially in high risk groups such as the elderly, represent an important public health problem. The prevailing inadequate efficacy of seasonal vaccines, both conventional and elderly-tailored, is a crucial bottleneck. Consequentially, understanding immunological and molecular mechanisms resulting in differential influenza vaccine responsiveness is a prerequisite for the development of new or improved vaccination strategies. To assess differences within the specific risk group of the elderly, randomly selected individuals (≥ 65 years) were immunized with the adjuvanted influenza vaccine Fluad®. Samples were subjected to single cell transcriptome analysis. The analyses revealed profound features segregating vaccine responders from nonresponders as classified according to their vaccine-induced sero-conversion. Non-responders are characterized by a poorly functional, suppressive phenotype, showing a weaker humoral and cellular immune activation and more suppressive regulatory T and B cells. Triple responders display an efficient immune functionality characterized by the activation of humoral and cellular immunity and the up-regulation of genes related to signaling pathways, including those for anti-viral responses, protein processing and B cell activation. The generated comprehensive high dimensional dataset enables the identification of putative mechanisms and nodes responsible for vaccine non-responsiveness regardless of confounding age-dependent effects.

ORGANISM(S): Homo sapiens

PROVIDER: GSE211560 | GEO | 2022/09/29

REPOSITORIES: GEO

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Project description:The objective of this study is to: 1) Characterize the immune responsiveness to administration of non-live vaccines in three cohorts of healthy adult subjects through the analysis of blood leukocytes transcriptional profiles. 2) Validate whole blood transcriptional profiles generated from standard 3mL blood draws versus 200uL blood draws obtained by finger stick. 3) Discover potential biomarkers for immune-responsiveness to non-live vaccines. A total of 621 blood samples were collected either by venipuncture (387) or finger prick (234) from four groups of healthy adults receiving either, 2009/10 seasonal influenza or 23-valent pneumococcal vaccine or placebo (saline) injections. Subjects were recruited in 3 cohorts with 4-7 individuals per group; cohort 3 was recruited for validation of the systemic day 1 immune signature in response to seasonal influenza and pneumococcal vaccination. From each subject, peripheral blood was drawn into Tempus tubes (Applied Biosystems) or obtained by finger prick into micro capillaries and then transferred into tempus reagent to lyse blood cells and stabilize RNA before storing at -80ºC until mRNA extraction. The training set for transcriptional profiling of blood obtained by venipuncture was performed in cohort 1 which included 6 healthy adult individuals receiving seasonal influenza vaccine, 6 healthy adult individuals receiving pneumococcal vaccine, and 6 healthy adult individuals receiving placebo (saline injections). The test set for transcriptional profiling of blood obtained by venipuncture was performed in cohort 2 which included 6 healthy adult individuals receiving seasonal influenza vaccine, 6 healthy adult individuals receiving pneumococcal vaccine, and 6 healthy adult individuals receiving placebo (saline injections). The validation set for confirming systemic day 1 transcriptome immune signature in response to seasonal influenza and pneumococcal vaccination was performed in cohort 3 which included 6 healthy adult individuals receiving seasonal influenza vaccine and 4 healthy adult individuals receiving pneumococcal vaccine. The training set for transcriptional profiling of blood obtained by finger prick was performed in cohort 2 and the test set in cohort 1.

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Distinct immunological and molecular signatures predict influenza vaccine responsiveness in the elderly (scRNA Seq)

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