Systematic genetic analysis of GSDMD, GSDME, and MLKL in PANoptosis

Omkar Indari1, Prashant Giri1, Rebecca E Tweedell1

  • 1Department of Immunology, St Jude Children's Research Hospital, Memphis, Tennessee, USA.

Insights

PANoptosis, an inflammatory cell death pathway, involves multiple executioners like gasdermin (GSDM) and MLKL. Our study shows these executioners compensate for each other, and targeting the entire network is crucial for therapeutic efficacy.

Area of Science:

  • Immunology
  • Cell Biology
  • Molecular Medicine

Background:

  • Cell death is vital for innate immunity and host defense.
  • Dysregulated lytic cell death contributes to inflammation and disease.
  • PANoptosis is a key inflammatory cell death pathway involving caspases, RIPKs, and executioners like GSDM and MLKL.

Purpose of the Study:

  • To investigate the roles of GSDMD, GSDME, and MLKL in executing PANoptosis.
  • To determine if individual executioners are essential or if they act compensatorily.
  • To identify potential therapeutic strategies by understanding the executioner network.

Main Methods:

  • Comprehensive genetic analysis using single, double, and triple knockout primary macrophages.
  • Stimulation of macrophages with triggers known to activate distinct PANoptosomes.
  • Assessment of caspase activation, executioner protein activity, and lytic cell death.

Main Results:

  • Deletion of individual GSDM or MLKL executioners did not fully block PANoptosis, indicating functional compensation.
  • Combined deletion of GSDMD, GSDME, and MLKL provided significant protection but did not completely abolish cell death.
  • Residual cell death suggests the involvement of additional, as yet unidentified, executioners in PANoptosis.

Conclusions:

  • PANoptosis execution involves a compensatory network of GSDM proteins and MLKL.
  • Targeting individual executioners may be insufficient for treating PANoptosis-driven diseases.
  • Therapeutic strategies should consider targeting the entire executioner network or upstream components for efficacy.

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