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Published on: December 21, 2017
[
M A Peyronneau1, B Kuhnast2, D-L Nguyen2
1Université Paris Saclay, INSERM, CNRS, CEA, Laboratoire d'Imagerie Biomedicale Multimodale (BioMaps), Service Hospitalier Frédéric Joliot, 4 Place du Général Leclerc, F-91401, ORSAY, France. marie-anne.peyronneau@cea.fr.
Concomitant medications, age, sex, and BMI significantly affect [18F]DPA-714 metabolism and plasma levels, impacting neuroinflammation PET imaging. Understanding these factors is crucial for accurate interpretation of brain and whole-body scans.
Area of Science:
- Neuroimaging
- Radiochemistry
- Pharmacokinetics
Background:
- Positron Emission Tomography (PET) imaging utilizes tracers like [18F]DPA-714 to investigate neuroinflammation.
- Inter-individual variability in tracer metabolism can affect the accuracy of PET scan interpretations.
Purpose of the Study:
- To evaluate how factors including concomitant medications, age, sex, body mass index (BMI), and 18-kDa translocator protein (TSPO) binding affinity influence [18F]DPA-714 metabolism and pharmacokinetics.
- To assess the impact of these factors on the plasma input function for PET imaging.
Main Methods:
- Quantified the non-metabolized fraction of [18F]DPA-714 in plasma from 201 subjects (patients and healthy controls) using solid-phase extraction.
- Correlated metabolic fractions and plasma concentrations with demographic, clinical, and genetic factors using multiple linear regression and non-parametric tests.
- Investigated the effect of co-medications on brain uptake and compared individual versus population-based input functions.
Main Results:
- Co-medications affecting CYP3A4 activity significantly altered [18F]DPA-714 metabolism (up to 88% variation).
- Metabolism decreased with age and BMI, and was faster in females than males; TSPO binding affinity did not affect metabolism.
- Whole-body PET showed high tracer uptake in TSPO-rich organs, with significantly lower uptake in low-affinity binders.
Conclusions:
- Concomitant medications (CYP3A4 inhibitors/inducers), TSPO genetic status, age, BMI, and sex are key contributors to inter-individual variability in [18F]DPA-714 metabolism and concentration.
- This variability can significantly impact the plasma input function and subsequent brain and peripheral uptake measurements in PET imaging.
- Accurate interpretation of [18F]DPA-714 PET scans requires consideration of these influencing factors.
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