TY - JOUR
T1 - Large-scale and comprehensive immune profiling and functional analysis of normal human aging
AU - Whiting, Chan C.
AU - Siebert, Janet
AU - Newman, Aaron M.
AU - Du, Hong Wu
AU - Alizadeh, Ash A.
AU - Goronzy, Jorg
AU - Weyand, Cornelia M.
AU - Krishnan, Eswar
AU - Garrison Fathman, C.
AU - Maecker, Holden T.
N1 - Publisher Copyright:
© 2015 Whiting et al.
PY - 2015/7/21
Y1 - 2015/7/21
N2 - While many age-associated immune changes have been reported, a comprehensive set of metrics of immune aging is lacking. Here we report data from 243 healthy adults aged 40- 97, for whom we measured clinical and functional parameters, serum cytokines, cytokines and gene expression in stimulated and unstimulated PBMC, PBMC phenotypes, and cytokine- stimulated pSTAT signaling in whole blood. Although highly heterogeneous across individuals, many of these assays revealed trends by age, sex, and CMV status, to greater or lesser degrees. Age, then sex and CMV status, showed the greatest impact on the immune system, as measured by the percentage of assay readouts with significant differences. An elastic net regression model could optimally predict age with 14 analytes from different assays. This reinforces the importance of multivariate analysis for defining a healthy immune system. These data provide a reference for others measuring immune parameters in older people.
AB - While many age-associated immune changes have been reported, a comprehensive set of metrics of immune aging is lacking. Here we report data from 243 healthy adults aged 40- 97, for whom we measured clinical and functional parameters, serum cytokines, cytokines and gene expression in stimulated and unstimulated PBMC, PBMC phenotypes, and cytokine- stimulated pSTAT signaling in whole blood. Although highly heterogeneous across individuals, many of these assays revealed trends by age, sex, and CMV status, to greater or lesser degrees. Age, then sex and CMV status, showed the greatest impact on the immune system, as measured by the percentage of assay readouts with significant differences. An elastic net regression model could optimally predict age with 14 analytes from different assays. This reinforces the importance of multivariate analysis for defining a healthy immune system. These data provide a reference for others measuring immune parameters in older people.
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U2 - 10.1371/journal.pone.0133627
DO - 10.1371/journal.pone.0133627
M3 - Article
C2 - 26197454
AN - SCOPUS:84941312557
SN - 1932-6203
VL - 10
JO - PLoS One
JF - PLoS One
IS - 7
M1 - e0133627
ER -