Longitudinal tracking of whole blood gene-expression in healthy young and old individuals - 2013

ABSTRACT: Immune responses generally decline with age. We used multiple ‘omics’ technologies to capture population- and individual- level changes in the human immune system of 135 healthy adult individuals of different ages sampled longitudinally over a nine-year period. We observe a high inter-individual variability in the rates of change of cellular frequencies that correlate with baseline values, allowing identification of steady state levels towards which a cell subset converges and the ordered convergence of multiple cell subsets towards an older adult homeostasis. These form a high dimensional trajectory of immune-aging (IMM-AGE) that describes a person’s immune status better than chronological age. We show the IMM-AGE score predicts all-cause mortality beyond well-established risk factors in the Framingham Heart Study.

ORGANISM(S): Homo sapiens

PROVIDER: GSE123696 | GEO | 2018/12/13

REPOSITORIES: GEO