Unknown,Transcriptomics,Genomics,Proteomics

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AginAging: a portrait from gene expression profile in blood cells: a portrait from gene expression profile in blood cells.

ABSTRACT: In almost every countries the proportion of people over 60 years is growing faster that any other age group. Increased life expectancy is leading to the characterization of specific aspects of aging for the various physiological systems. The study of healthy aging is important to design strategies capable to maximize the health and to prevent chronic diseases in older people. Immunosenscence reflects the age-related changes of the immune system and the reduced capacity of elderly people to cope with new infections. To elucidate changes in gene expression related to systemic aging and immunosenescence in an unbiased manner we performed comparative microarray analysis on whole blood cell from healthy middle-aged versus elderly men, and correlated results with functional measurements of aerobic capacity. Blood cells from elderly subjects showed age-related changes in the expression of several markers of immunosenescence, inflammation and oxidative stress, and showed impairments in metabolic and biosynthetic capacities. Whole blood samples from twenty healthy men between the ages of 45-55 (n=11) and 65-75 (n=9) years old were analyzed for this study. For each subject blood was sampled in two different occasions, which were separated by at least 7 days. To preseve RNA quality and integrity 3 ml of blood have been collected intoTEMPUS Blood RNA tubes (ABI, Foster City, CA, USA). Total RNA has been depleted of globin mRNA using the GLOBINclearâ¢-Human kit (Ambion, Austin, TX). To reduce variations due to confounding events, such as spontaneous up- and down-regulation of genes, the two samples of clean RNA from each subject were pooled into one single sample (1ug+1ug RNA).

ORGANISM(S): Homo sapiens

SUBMITTER: Silvio Bicciato

PROVIDER: E-GEOD-67220 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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Publications

Aging: a portrait from gene expression profile in blood cells.

Calabria Elisa E Mazza Emilia Maria Cristina EM Dyar Kenneth Allen KA Pogliaghi Silvia S Bruseghini Paolo P Morandi Carlo C Salvagno Gian Luca GL Gelati Matteo M Guidi Gian Cesare GC Bicciato Silvio S Schiaffino Stefano S Schena Federico F Capelli Carlo C

Aging 20160801 8

The availability of reliable biomarkers of aging is important not only to monitor the effect of interventions and predict the timing of pathologies associated with aging but also to understand the mechanisms and devise appropriate countermeasures. Blood cells provide an easily available tissue and gene expression profiles from whole blood samples appear to mirror disease states and some aspects of the aging process itself. We report here a microarray analysis of whole blood samples from two coho ...[more]

PMID: 27545843

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Project description:Background: Personalized medicine is predicated on the notion that individual biochemical and genomic profiles are relatively constant in times of good health and to some extent predictive of disease or therapeutic response. We report a pilot study quantifying gene expression and methylation profile consistency over time, addressing the reasons for individual uniqueness, and its relation to N=1 phenotypes. Methods: Whole blood samples from 4 African American women, 4 Caucasian women, and 4 Caucasian men drawn from the Atlanta Center for Health Discovery and Well Being study at three successive 6-month intervals were profiled by RNASeq, miRNASeq, and Illumina Methyl-450 arrays. Standard regression approaches were used to evaluate the proportion of variance for each type of omic measure that is among individuals, and to quantify correlations among measures and with clinical attributes related to wellness. Results: Longitudinal omic profiles are in general highly consistent over time, with an average of 67% of the variance in transcript abundance, 42% of CpG methylation level (but 88% for the most differentiated CpG per gene), and 50% of miRNA abundance among individuals, which are all comparable to 74% of the variance among individuals for 74 clinical traits. One third of the variance can be attributed to differential blood cell type abundance, which is also fairly stable over time, and a lesser amount to eQTL effects, whereas seven conserved axes of covariance that capture diverse aspects of immune function explain over half of the variance. These axes also explain a considerable proportion of individually extreme transcript abundance, namely approximately 100 genes that are significantly up- or down-regulated in each person and are in some cases enriched for relevant gene activities that plausibly associate with clinical attributes. A similar fraction of genes have individually divergent methylation levels, but these do not overlap with the transcripts, and fewer than 20% of genes have significantly correlated methylation and gene expression. Conclusions: People express an “omic personality” consisting of peripheral blood transcriptional and epigenetic profiles that are constant over the course of a year and reflect various types of immune activity. Baseline genomic profiles can provide a window into the molecular basis of traits that might be useful for explaining medical conditions or guiding personalized health decisions. Whole blood samples from 12 subjects drawn from the Atlanta Center for Health Discovery and Well Being study at three successive 6-month intervals were profiled by RNASeq, miRNASeq, and Illumina Methyl-450 arrays.

Dataset Information

AginAging: a portrait from gene expression profile in blood cells: a portrait from gene expression profile in blood cells.

Publications

Aging: a portrait from gene expression profile in blood cells.

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