Quantification of the purinergic P2X7 receptor with [11C]SMW139 improves through correction for brain-penetrating

Joachim Brumberg1,2, Richard Aarnio3, Anton Forsberg1

  • 1Centre for Psychiatry Research, Department of Clinical Neuroscience, Karolinska Institutet & Stockholm Health Care Services, Stockholm, Sweden.

Insights

This study quantifies [11C]SMW139 binding to P2X7R in the human brain. Correcting for brain-penetrant radiometabolites using dual input modeling significantly improves quantification accuracy for neuroinflammation assessment.

Area of Science:

  • Neuroscience
  • Radiochemistry
  • Pharmacology

Background:

  • The P2X7 receptor (P2X7R) is a key target for assessing neuroinflammation.
  • [11C]SMW139 is a radioligand used for in vivo imaging of P2X7R.
  • Radiometabolites can affect the accuracy of in vivo quantification.

Purpose of the Study:

  • To investigate the impact of radiolabeled metabolites on [11C]SMW139 quantification.
  • To evaluate the accuracy of different compartment modeling approaches.
  • To improve in vivo assessment of neuroinflammation using [11C]SMW139.

Main Methods:

  • Ex vivo radioHPLC analysis of [11C]SMW139 parent and radiometabolite fractions in mouse and human plasma and brain.
  • Positron Emission Tomography (PET) imaging in humans with arterial blood sampling.
  • One- and two-tissue compartment (TCM) modeling with single and dual input functions to estimate the volume of distribution (VT).

Main Results:

  • RadioHPLC revealed significant radiometabolite concentrations in plasma and brain homogenates.
  • Dual input function modeling, accounting for brain-penetrant metabolites, yielded more precise estimates of [11C]SMW139 binding.
  • Single input function modeling resulted in wide ranges and high coefficients of variation for VT estimates.

Conclusions:

  • Compartment modeling incorporating brain-penetrant radiometabolites enhances the in vivo quantification of [11C]SMW139 binding to P2X7R.
  • This improved quantification is crucial for accurate in vivo assessment of neuroinflammation.
  • Dual input modeling offers a more reliable approach for P2X7R imaging studies.