Distinct immunological and molecular signatures predict influenza vaccine responsiveness in the elderly
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ABSTRACT:
PROVIDER: PRJNA870045 | ENA |
REPOSITORIES: ENA
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Project description: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 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.
2022-09-29 | GSE211368 | GEO
Project description: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.
2022-09-29 | GSE211560 | GEO
Project description:Distinct immunological and molecular signatures predict influenza vaccine responsiveness in the elderly (scRNA Seq)
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Project description:While studying influenza vaccine-induced responses, the elderly are typically considered as a homogeneous population. However, chronological age alone is insufficient in defining immune responsiveness of individuals. In this study, a stratified cohort of elderly (65 year old and above) and young (below 35 year old) individuals was recruited to study the heterogeneity of influenza vaccine-induced responses and identify innate signatures including gene expression profiles defining vaccine immunogenicity. The study was conducted in Singapore, a tropical setting without well-defined influenza seasons.
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Project description:To compare the effects of different types of SARS-CoV-2 vaccines in booster immunization in Elderly Adults, this study established a population cohort vaccinated with inactivated vaccine and protein subunit vaccine as the third booster vaccine in Elderly Adults over 70 Years of Age, respectively. We collected serum and PBMC samples from participants, and performed a systematic review of distinct antibody signatures and microtranscriptomics to provide data support for booster immunization.
2024-01-31 | GSE234008 | GEO
Project description:Mice were immunized with either formalin fixed Influenza A/PR/8/34 (Killed PR8), the 2006-2007 seasonal influenza vaccine, the 2007-2008 seasonal influenza vaccine, a sublethal infection (live PR8) or mock immunized (PBS). Array data was used to distinguish the immunogens from each other and predict which of the three inactivated vaccines would be protective against A/PR/8/34 challenge. two replicates of each peptide was printed on 1 CIM_10kv3 peptide microarray. One microarray were tested for each sample. Image was qualified using in-house metrics for quality assurance.
2013-11-04 | E-GEOD-51623 | biostudies-arrayexpress
Project description:Mice were immunized with either formalin fixed Influenza A/PR/8/34 (Killed PR8), the 2006-2007 seasonal influenza vaccine, the 2007-2008 seasonal influenza vaccine, a sublethal infection (live PR8) or mock immunized (PBS). Array data was used to distinguish the immunogens from each other and predict which of the three inactivated vaccines would be protective against A/PR/8/34 challenge.
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Project description:<p>Rheumatoid arthritis (RA) is a chronic inflammatory disorder with poorly defined aetiology characterised by synovial inflammation with variable disease severity and drug responsiveness. To investigate the peripheral blood immune cell landscape of RA, we performed comprehensive clinical and molecular profiling of 267 RA patients and 52 healthy vaccine recipients for up to 18 months to establish a high quality sample biobank including plasma, serum, peripheral blood cells, urine, genomic DNA, RNA from whole blood, lymphocyte and monocyte subsets. We have performed extensive multi-omic immune phenotyping, including genomic, metabolomic, proteomic, transcriptomic and autoantibody profiling. We anticipate that these detailed clinical and molecular data will serve as a fundamental resource offering insights into immune-mediated disease pathogenesis, progression and therapeutic response, ultimately contributing to the development and application of targeted therapies for RA.</p>
2021-06-16 | MTBLS1497 | MetaboLights
Project description:Complete data set for "Molecular and immunological interrogation of a live-attenuated enterotoxigenic Escherichia coli vaccine highlights features unique to wild type infection"
2019-07-23 | MSV000084121 | MassIVE
Project description:Seasonal influenza is a primary public health burden in the USA and globally. Annual vaccination programs are designed on the basis of circulating influenza viral strains. However, the effectiveness of the seasonal influenza vaccine is highly variable between seasons and among individuals. A number of factors are known to influence vaccination effectiveness including age, sex, and comorbidities. Here, we sought to determine whether whole blood gene expression profiling prior to vaccination is informative about pre-existing immunological status and the immunological response to vaccine. We performed whole transcriptome analysis using RNA sequencing (RNAseq) of whole blood samples obtained prior to vaccination from participants enrolled in an annual influenza vaccine trial. Serological status prior to vaccination and 28 days following vaccination were assessed using the hemagglutination inhibition assay (HAI) to define baseline immune status and the response to vaccination. We find evidence that genes with immunological functions are increased in expression in individuals with higher pre-existing immunity and in those individuals who mount a greater response to vaccination. Using a random forest model we find that this set of genes can be used to predict vaccine response with a performance similar to a model that incorporates physiological and prior vaccination status alone. Our study shows that increased expression of immunological genes, possibly reflecting greater plasmablast cell populations, prior to vaccination is associated with an enhanced response to vaccine. Furthermore, in the absence of demographic and physiological information gene expression signatures are informative about the likely response of an individual to seasonal influenza vaccination.
2022-07-11 | GSE207750 | GEO