Quantifying Human Innate Cytokine and Chemokine Responses Ex Vivo via Pattern Recognition Receptor Stimulation

Methods Mol Biol. 2019:2020:77-89. doi: 10.1007/978-1-4939-9591-2_6.

Abstract

Linkages between human innate immune capacity, the environment in which we live, and the development of clinical tolerance versus a spectrum of disease phenotypes are a major focus of inflammatory disease research. While extensive epidemiologic evidence indicates key roles for the microbiome and other environmental factors, the underlying mechanisms that explain how these stimuli lead to a given clinical phenotype remain speculative. Here we review strategies for characterizing human cytokine production ex vivo in response to innate immune receptor stimulation with defined ligands. Human cytokine and chemokine biomarker data provides a tool to test hypotheses on the relationship between innate immune capacity in vivo and expression of current or future clinical phenotypes. The most important limitations of experimental strategies that have been used to date are reviewed. Detailed experimental protocols are provided for characterization of pattern recognition receptor (PRR)-driven stimulation with a panel of bacterial (TLR4, TLR5) and viral (TLR3, TLR7/8, RIG-I/MDA5) ligands to assess the role played by human pro-inflammatory, anti-inflammatory, Th1-like, and Th2-like responses. The importance of characterizing human innate immune phenotypes extends beyond discovery-based research to development of improved strategies for prevention or inhibition of chronic inflammatory diseases, improved design of immunization programs, and more effective cancer immunotherapy.

Keywords: Allergy; Autoimmunity; Cardiovascular disease; Chemokine; Cytokine; Human; Immunization; Innate immunity; Pattern recognition receptors; RLR; TLR.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Animals
  • Cytokines / analysis*
  • Humans
  • Immunity, Innate
  • Inflammation / immunology*
  • Mice
  • Phenotype
  • Receptors, Pattern Recognition / metabolism*

Substances

  • Cytokines
  • Receptors, Pattern Recognition

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