Resolving trained immunity with systems biology.

Valerie A C M Koeken, Reinout van Crevel, Mihai G Netea, Yang Li

Journal: European journal of immunology 2021;51(4):773-784

PMID: 33570164

Abstract

Trained immunity is characterized by long-term functional reprogramming of innate immune cells following challenge with pathogens or microbial ligands during infection or vaccination. This cellular reprogramming leads to increased responsiveness upon restimulation, and is mediated through epigenetic and metabolic modifications. In this review, we describe how molecular mechanisms underlying trained immunity, for example, induced by β-glucan or Bacille Calmette-Guérin (BCG) vaccination, can be investigated by using and integrating different layers of information including genome, epigenome, transcriptome, proteome, metabolome, microbiome, immune cell phenotyping, and function. We also describe the most commonly used experimental and computational techniques. Finally, we provide a number of examples of how a systems biology approach was applied to study trained immunity to understand interindividual variation or the complex interplay between molecular layers. In conclusion, trained immunity represents an opportunity for regulating innate immune function, and understanding the complex interplay of mechanisms that mediate trained immunity might enable us to employ it as a clinical tool in the future.

© 2021 The Authors. European Journal of Immunology published by Wiley-VCH GmbH.

Address: Radboud Center for Infectious Diseases and Department of Internal Medicine, Radboud University Medical Center, Nijmegen, The Netherlands.; Department of Computational Biology for Individualised Infection Medicine, Centre for Individualised Infection Medicine (CiiM), A Joint Venture Between The Helmholtz-Centre for Infection Research (HZI) and the Hannover Medical School (MHH), Hannover, Germany.; TWINCORE, a Joint Venture Between the Helmholtz-Centre for Infection Research (HZI) and the Hannover Medical School (MHH), Hannover, Germany.; Quantitative Systems Biology, Life & Medical Sciences Institute (LIMES), University of Bonn, Bonn, Germany.
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