GABA production induced by imipridones is a targetable and imageable metabolic alteration in diffuse midline gliomas

Insights

Imipridone drugs increase GABA in pediatric brain tumors, acting as an early biomarker for treatment response. This metabolic adaptation can be targeted to enhance therapy and enable non-invasive imaging for diffuse midline gliomas.

Area of Science:

  • Neuro-oncology
  • Metabolic imaging
  • Drug discovery

Background:

  • Diffuse midline gliomas (DMGs) are aggressive pediatric brain tumors with limited treatment options.
  • Imipridones show promise but require strategies to improve efficacy and early response monitoring.
  • Biomarkers for early drug-target engagement are crucial for optimizing DMG treatment.

Purpose of the Study:

  • To identify early metabolic biomarkers for imipridone therapy in DMGs.
  • To elucidate the mechanism of imipridone-induced metabolic changes.
  • To explore the therapeutic potential of targeting this metabolic adaptation.

Main Methods:

  • Utilized 1H-magnetic resonance spectroscopy for non-invasive metabolite quantification in preclinical DMG models.
  • Investigated the molecular pathways involving ClpP, ATF4, and GABA synthesis/degradation.
  • Assessed the functional role of GABA signaling via GABAB receptors and its impact on oxidative stress.

Main Results:

  • Accumulation of gamma-aminobutyric acid (GABA) detected within one week of ONC206 treatment, serving as an early biomarker.
  • Imipridones activate ClpP and ATF4, leading to increased GABA synthesis and decreased degradation.
  • Autocrine GABA signaling via GABAB receptors induces SOD1, mitigating oxidative stress; blocking this signaling synergizes with imipridones to induce apoptosis.

Conclusions:

  • GABA accumulation is an early metabolic adaptation to imipridones in DMGs, useful for non-invasive imaging and assessing drug-target engagement.
  • Targeting GABA signaling pathways, in combination with imipridones, offers a potential strategy for enhanced DMG therapy.
  • This work paves the way for precision metabolic therapy and imaging in pediatric brain tumor patients.

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