Reprogramming of macrophages employing gene regulatory and metabolic network models

PLoS Comput Biol. 2020 Feb 25;16(2):e1007657. doi: 10.1371/journal.pcbi.1007657. eCollection 2020 Feb.

Abstract

Upon exposure to different stimuli, resting macrophages undergo classical or alternative polarization into distinct phenotypes that can cause fatal dysfunction in a large range of diseases, such as systemic infection leading to sepsis or the generation of an immunosuppressive tumor microenvironment. Investigating gene regulatory and metabolic networks, we observed two metabolic switches during polarization. Most prominently, anaerobic glycolysis was utilized by M1-polarized macrophages, while the biosynthesis of inosine monophosphate was upregulated in M2-polarized macrophages. Moreover, we observed a switch in the urea cycle. Gene regulatory network models revealed E2F1, MYC, PPARγ and STAT6 to be the major players in the distinct signatures of these polarization events. Employing functional assays targeting these regulators, we observed the repolarization of M2-like cells into M1-like cells, as evidenced by their specific gene expression signatures and cytokine secretion profiles. The predicted regulators are essential to maintaining the M2-like phenotype and function and thus represent potential targets for the therapeutic reprogramming of immunosuppressive M2-like macrophages.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Anaerobiosis
  • Animals
  • Cytokines / metabolism
  • Gene Expression Profiling
  • Gene Expression Regulation
  • Gene Regulatory Networks*
  • Glycolysis
  • Immunosuppression Therapy
  • Immunosuppressive Agents / therapeutic use
  • Inosine Monophosphate / metabolism
  • Macrophage Activation*
  • Macrophages / metabolism*
  • Mice
  • Mice, Inbred C57BL
  • Phenotype
  • Tumor Microenvironment*

Substances

  • Cytokines
  • Immunosuppressive Agents
  • Inosine Monophosphate

Grants and funding

This work was supported by the project Center for Sepsis Control and Care (CSCC, 01EO1002 and 01EO1502) and the project CancerTelSys (01ZX1302B and 01ZX1602B) of the German Federal Ministry of Education and Research (BMBF, https://www.bmbf.de/), and the Deutsche Forschungsgemeinschaft (https://www.dfg.de/) within the graduate program Jena School for Microbial Communication and the project KO 3678/5-1, and the Helmholtz International Graduate School for Cancer Research (www.dkfz.de). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.