The human immune system varies extensively between individuals, but variation within individuals over time has not been well characterized. Systems-level analyses allow for simultaneous quantification of many interacting immune system components and the inference of global regulatory principles. Here, we present a longitudinal, systems-level analysis in 99 healthy adults 50 to 65 years of age and sampled every third month for 1 year. We describe the structure of interindividual variation and characterize extreme phenotypes along a principal curve. From coordinated measurement fluctuations, we infer relationships between 115 immune cell populations and 750 plasma proteins constituting the blood immune system. While most individuals have stable immune systems, the degree of longitudinal variability is an individual feature. The most variable individuals, in the absence of overt infections, exhibited differences in markers of metabolic health suggestive of a possible link between metabolic and immunologic homeostatic regulation.
Description
Human Immune System Variation during 1 Year: Cell Reports
%0 Journal Article
%1 lakshmikanth2020human
%A Lakshmikanth, Tadepally
%A Muhammad, Sayyed Auwn
%A Olin, Axel
%A Chen, Yang
%A Mikes, Jaromir
%A Fagerberg, Linn
%A Gummesson, Anders
%A Bergström, Göran
%A Uhlen, Mathias
%A Brodin, Petter
%B Cell Reports
%D 2020
%I Elsevier
%J Cell Reports
%K Human immune variation
%N 3
%R 10.1016/j.celrep.2020.107923
%T Human Immune System Variation during 1 Year
%U https://doi.org/10.1016/j.celrep.2020.107923
%V 32
%X The human immune system varies extensively between individuals, but variation within individuals over time has not been well characterized. Systems-level analyses allow for simultaneous quantification of many interacting immune system components and the inference of global regulatory principles. Here, we present a longitudinal, systems-level analysis in 99 healthy adults 50 to 65 years of age and sampled every third month for 1 year. We describe the structure of interindividual variation and characterize extreme phenotypes along a principal curve. From coordinated measurement fluctuations, we infer relationships between 115 immune cell populations and 750 plasma proteins constituting the blood immune system. While most individuals have stable immune systems, the degree of longitudinal variability is an individual feature. The most variable individuals, in the absence of overt infections, exhibited differences in markers of metabolic health suggestive of a possible link between metabolic and immunologic homeostatic regulation.
@article{lakshmikanth2020human,
abstract = {The human immune system varies extensively between individuals, but variation within individuals over time has not been well characterized. Systems-level analyses allow for simultaneous quantification of many interacting immune system components and the inference of global regulatory principles. Here, we present a longitudinal, systems-level analysis in 99 healthy adults 50 to 65 years of age and sampled every third month for 1 year. We describe the structure of interindividual variation and characterize extreme phenotypes along a principal curve. From coordinated measurement fluctuations, we infer relationships between 115 immune cell populations and 750 plasma proteins constituting the blood immune system. While most individuals have stable immune systems, the degree of longitudinal variability is an individual feature. The most variable individuals, in the absence of overt infections, exhibited differences in markers of metabolic health suggestive of a possible link between metabolic and immunologic homeostatic regulation.},
added-at = {2020-07-21T23:00:51.000+0200},
author = {Lakshmikanth, Tadepally and Muhammad, Sayyed Auwn and Olin, Axel and Chen, Yang and Mikes, Jaromir and Fagerberg, Linn and Gummesson, Anders and Bergström, Göran and Uhlen, Mathias and Brodin, Petter},
biburl = {https://www.bibsonomy.org/bibtex/23eb324ec5cbc5ab9d09c35ba34d94ed0/lkanth},
booktitle = {Cell Reports},
comment = {doi: 10.1016/j.celrep.2020.107923},
description = {Human Immune System Variation during 1 Year: Cell Reports},
doi = {10.1016/j.celrep.2020.107923},
interhash = {998d881c1e3ea136fa331d94a96a8ca5},
intrahash = {3eb324ec5cbc5ab9d09c35ba34d94ed0},
issn = {22111247},
journal = {Cell Reports},
keywords = {Human immune variation},
month = jul,
number = 3,
publisher = {Elsevier},
timestamp = {2020-07-21T23:00:51.000+0200},
title = {Human Immune System Variation during 1 Year},
url = {https://doi.org/10.1016/j.celrep.2020.107923},
volume = 32,
year = 2020
}