Integration of multi-omics data and deep phenotyping enables prediction of cytokine responses.

Nat Immunol
Authors
Keywords
Abstract

The immune response to pathogens varies substantially among people. Whereas both genetic and nongenetic factors contribute to interperson variation, their relative contributions and potential predictive power have remained largely unknown. By systematically correlating host factors in 534 healthy volunteers, including baseline immunological parameters and molecular profiles (genome, metabolome and gut microbiome), with cytokine production after stimulation with 20 pathogens, we identified distinct patterns of co-regulation. Among the 91 different cytokine-stimulus pairs, 11 categories of host factors together explained up to 67% of interindividual variation in cytokine production induced by stimulation. A computational model based on genetic data predicted the genetic component of stimulus-induced cytokine production (correlation 0.28-0.89), and nongenetic factors influenced cytokine production as well.

Year of Publication
2018
Journal
Nat Immunol
Volume
19
Issue
7
Pages
776-786
Date Published
2018 07
ISSN
1529-2916
DOI
10.1038/s41590-018-0121-3
PubMed ID
29784908
PubMed Central ID
PMC6022810
Links
Grant list
R01 AT009708 / AT / NCCIH NIH HHS / United States
P30 DK043351 / DK / NIDDK NIH HHS / United States
322698 / European Research Council / International
R01 AI137325 / AI / NIAID NIH HHS / United States
310372 / European Research Council / International