Quantification of P-glycoprotein function at the human blood-brain barrier using [18F]MC225 and PET
Introduction P-glycoprotein (P-gp) is one of the most studied efflux transporters at the blood-brain barrier. It plays an important role in brain homeostasis by protecting the brain from a variety of endogenous and exogeneous substances. Changes in P-gp function are associated both with the onset of...
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Published in | European journal of nuclear medicine and molecular imaging Vol. 50; no. 13; pp. 3917 - 3927 |
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Main Authors | , , , , , , , , , , , , , |
Format | Journal Article |
Language | English |
Published |
Berlin/Heidelberg
Springer Berlin Heidelberg
01.11.2023
Springer Nature B.V |
Subjects | |
Online Access | Get full text |
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Summary: | Introduction
P-glycoprotein (P-gp) is one of the most studied efflux transporters at the blood-brain barrier. It plays an important role in brain homeostasis by protecting the brain from a variety of endogenous and exogeneous substances. Changes in P-gp function are associated both with the onset of neuropsychiatric diseases, including Alzheimer’s disease and Parkinson’s disease, and with drug-resistance, for example in treatment-resistant depression. The most widely used approach to measure P-gp function in vivo is
(R)-
[
11
C]verapamil PET.
(R)-
[
11
C]verapamil is, however, an avid P-gp substrate, which complicates the use of this tracer to measure an increase in P-gp function as its baseline uptake is already very low. [
18
F]MC225 was developed to measure both increases and decreases in P-gp function.
Aim
The aim of this study was (1) to identify the pharmacokinetic model that best describes [
18
F]MC225 kinetics in the human brain and (2) to determine test-retest variability.
Methods
Five (2 male, 3 female) of fourteen healthy subjects (8 male, 6 female, age 67 ± 5 years) were scanned twice (injected dose 201 ± 47 MBq) with a minimum interval of 2 weeks between scans. Each scanning session consisted of a 60-min dynamic [
18
F]MC225 scan with continuous arterial sampling. Whole brain grey matter data were fitted to a single tissue compartment model, and to reversible and irreversible two tissue-compartment models to obtain various outcome parameters (in particular the volume of distribution (
V
T
),
K
i
, and the rate constants
K
1
and
k
2
). In addition, a reversible two-tissue compartment model with fixed
k
3
/
k
4
was included. The preferred model was selected based on the weighted Akaike Information Criterion (AIC) score. Test-retest variability (TRTV) was determined to assess reproducibility.
Results
Sixty minutes post-injection, the parent fraction was 63.8 ± 4.0%. The reversible two tissue compartment model corrected for plasma metabolites with an estimated blood volume (
V
B
) showed the highest AIC weight score of 34.3 ± 17.6%. The TRVT of the
V
T
for [
18
F]MC225 PET scans was 28.3 ± 20.4% for the whole brain grey matter region using this preferred model.
Conclusion
[
18
F]MC225
V
T
, derived using a reversible two-tissue compartment model, is the preferred parameter to describe P-gp function in the human BBB. This outcome parameter has an average test-retest variability of 28%.
Trial registration
EudraCT
2020-001564-28
. Registered 25 May 2020. |
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Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 |
ISSN: | 1619-7070 1619-7089 |
DOI: | 10.1007/s00259-023-06363-5 |