Biased perspectives on formyl peptide receptors

Biochim Biophys Acta Mol Cell Res. 2019 Feb;1866(2):305-316. doi: 10.1016/j.bbamcr.2018.11.015. Epub 2018 Dec 4.

Abstract

The innate immune system is the first line of defense against pathogenic threats. For the early pathogen recognition and activation of cell protective mechanisms, germline-encoded pattern recognition receptors (PRRs) detect characteristic and evolutionary conserved pathogen-associated molecular patterns (PAMPs). PRRs are therefore key elements in the innate immune response; in addition, they sense danger-associated molecular patterns (DAMPs) that are released by host cell molecules under pathophysiological conditions. Formyl peptide receptors (FPRs) are G-protein-coupled PRRs that respond to a surprisingly broad range of ligands, derived from both pathogens and host cells. Here, we exemplary discuss ligands in order to illustrate the wide pathophysiological relevance of the FPR signaling axis in case of e.g., chronic inflammations and to underscore its potential therapeutic value in the light of "biased agonism", a modern concept of GPCR (G-protein coupled receptors) activation. These novel insights into the GPCR receptor biochemistry will hopefully (re)stimulate FPR-related research and lead to novel strategies for the urgently needed development of drugs with pharmacologically advantageous characteristics.

Keywords: Biased agonism; DAMPs; Drug development; FPRs; PAMPs.

Publication types

  • Research Support, Non-U.S. Gov't
  • Review

MeSH terms

  • Alarmins / metabolism
  • Animals
  • Humans
  • Immune System / immunology
  • Immunity, Innate / immunology
  • Inflammation / immunology
  • Ligands
  • Mice
  • Pathogen-Associated Molecular Pattern Molecules / metabolism
  • Receptors, Formyl Peptide / metabolism*
  • Receptors, Formyl Peptide / physiology*
  • Receptors, Pattern Recognition / metabolism
  • Signal Transduction

Substances

  • Alarmins
  • Ligands
  • Pathogen-Associated Molecular Pattern Molecules
  • Receptors, Formyl Peptide
  • Receptors, Pattern Recognition