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Gene expression profiles associated with humoral response to influenza vaccine, Vaxigrip, in young and elderly subjects of Chinese ethnicity in Singapore

ABSTRACT: Gene expression profiles associated with humoral response to influenza vaccine, Vaxigrip, in young and elderly subjects of Chinese ethnicity in Singapore

PROVIDER: PRJNA422122 | ENA |

REPOSITORIES: ENA

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Gene expression profiles associated with humoral response to influenza vaccine, Vaxigrip, in young and elderly subjects of Chinese ethnicity in Singapore

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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Ethnicity-specific Skeletal Muscle Transcriptional Signatures and Their Relevance to Insulin Resistance in Singapore

Project description:Context: Insulin resistance (IR) and obesity differ between ethnic groups in Singapore, with discordant rates of obesity and IR between several ethnic groups. However, the molecular basis underlying these differences are not clear. Objective: As the skeletal muscle (SM) is metabolically relevant to IR, we investigated molecular pathways in SM that are associated with ethnic differences in IR, obesity and related traits. Design, Setting and Main Outcome measures: We integrated transcriptomic, genomic and phenotypic analyses in 156 healthy subjects representing three major ethnicities in the Singapore Adult Metabolism Study. Patients: The study contains Chinese (n=63), Malay (n=51) and Asian-Indian (n=42) males, aged 21-40 years, without systemic diseases. Results: We found remarkable diversity in the SM transcriptome between the three ethnicities with >8,000 differentially expressed genes (40% of all genes expressed in SM). Comparison with blood transcriptome from a separate Singaporean cohort showed that >95% of SM expression differences between ethnicities were unique to SM. We identified a network of 46 genes that were specifically down-regulated in Malays, suggesting dysregulation of components of cellular respiration in SM of Malay individuals. We also report 28 differentially expressed gene-clusters, four of which were also enriched for genes that were found in GWAS of metabolic traits and disease and correlated with variation in IR, obesity and related traits. Conclusion: We identified extensive gene expression changes in SM between the three Singaporean ethnicities, and report specific genes and molecular pathways that might underpin and explain the differences in IR between these ethnic groups.

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