Continuous immunotypes describe human immune variation and predict diverse responses
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Author(s)
Kaczorowski, Kevin J.
Shekhar, Karthik
Nkulikiyimfura, Dieudonné
Dekker, Cornelia L.
Maecker, Holden
Davis, Mark M.
Chakraborty, Arup K.
Brodin, Petter
Kaczorowski, Kevin John
Chakraborty, Arup K
Date Issued
June 2017
Journal
Proceedings of the National Academy of Sciences
Publisher
National Academy of Sciences (U.S.)
Citation
Kaczorowski, Kevin J. et al. “Continuous Immunotypes Describe Human Immune Variation and Predict Diverse Responses.” Proceedings of the National Academy of Sciences 114, 30 (July 2017): E6097–E6106 © 2017 National Academy of Sciences
Version
Final published version
Abstract
The immune system consists of many specialized cell populations that communicate with each other to achieve systemic immune responses. Our analyses of various measured immune cell population frequencies in healthy humans and their responses to diverse stimuli show that human immune variation is continuous in nature, rather than characterized by discrete groups of similar individuals. We show that the same three key combinations of immune cell population frequencies can define an individual’s immunotype and predict a diverse set of functional responses to cytokine stimulation. We find that, even though interindividual variations in specific cell population frequencies can be large, unrelated individuals of younger age have more homogeneous immunotypes than older individuals. Across age groups, cytomegalovirus seropositive individuals displayed immunotypes characteristic of older individuals. The conceptual framework for defining immunotypes suggested by our results could guide the development of better therapies that appropriately modulate collective immunotypes, rather than individual immune components. Keywords: human immune variation; immune cell composition; systems immunology; aging
MIT Department
Massachusetts Institute of Technology. Institute for Medical Engineering & Science
Massachusetts Institute of Technology. Department of Chemical Engineering
Massachusetts Institute of Technology. Department of Chemistry
Massachusetts Institute of Technology. Department of Physics
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Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.
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DOI of Published Version
https://doi.org/10.1073/PNAS.1705065114
