Cited by 121Medical Imaging Techniques and ApplicationsNeuroinflammation and Neurodegeneration MechanismsAdvanced MRI Techniques and Applications

Kinetic Modeling without Accounting for the Vascular Component Impairs the Quantification of [ 11 C]PBR28 Brain PET Data

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Rizzo, Gaia, Veronese, Mattia, Tonietto, Matteo, Zanotti-Fregonara, Paolo, Turkheimer, Federico E, Bertoldo, Alessandra·2014·Journal of Cerebral Blood Flow & Metabolism

Abstract

The positron emission tomography radioligand [ 11 C]PBR28 targets translocator protein (18 kDa) (TSPO) and is a potential marker of neuroinflammation. [ 11 C]PBR28 binding is commonly quantified using a two-tissue compartment model and an arterial input function. Previous studies with [ 11 C]HRJ-PK11195 demonstrated a slow irreversible binding component to the TSPO proteins localized in the endothelium of brain vessels, such as venous sinuses and arteries. However, the impact of this component on the quantification of [ 11 C]PBR28 data has never been investigated. In this work we propose a novel kinetic model for [ 11 C]PBR28. This model hypothesizes the existence of an additional irreversible component from the blood to the endothelium. The model was tested on a data set of 19 healthy subjects. A simulation was also performed to quantify the error generated by the standard two-tissue compartmental model when the presence of the irreversible component is not taken into account. Our results show that when the vascular component is included in the model the estimates that include the vascular component (2TCM-1K) are more than three-fold smaller, have a higher time stability and are better correlated to brain mRNA TSPO expression than those that do not include the model (2TCM).

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Crossref · 10.1038/jcbfm.2014.55

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  • Use of higher-affinity TSPO ligands increased vascular binding, in turn masking ligand binding in the microglia.

    “For example, use of higher-affinity TSPO ligands increased vascular binding, in turn masking ligand binding in the microglia (Rizzo et al, 2014).”

    From Microglia Priming with Aging and Stress (2017) · cites this paper as Rizzo et al, 2014

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  1. 9 Kreisl WC, Jenko KJ, Hines CS, Lyoo CH, Corona W, Morse CL et al. A genetic polymorphism for translocator protein 18 kDa affects both in vitro and in vivo radioligand binding in human brain to this putative biomarker of neuroinflammation. J Cereb Blood Flow Metab 2013; 33 : 53-58.
  2. 14 Kreisl WC, Lyoo CH, McGwier M, Snow J, Jenko KJ, Kimura N et al. In vivo radioligand binding to translocator protein correlates with severity of Alzheimer's disease. Brain 2013; 136 : 2228-2238.
  3. 20 Turkheimer FE, Edison P, Pavese N, Roncaroli F, Anderson AN, Hammers A et al. Reference and target region modeling of [ 11 C]-(R)-PK11195 brain studies. J Nucl Med 2007; 48 : 158-167.
  4. 28 Veronese M, Schmidt K, Smith C, Rizzo G, Turkheimer F, Bertoldo A. Spectral analysis iterative filter for voxel-wise quantification of PET tracers with irreversible uptake. J Cerebr Blood Flow Metab 2012; 32 : S147.

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Authors
Rizzo, G., Veronese, M., Tonietto, M., Zanotti-Fregonara, P., Turkheimer, F. E., & Bertoldo, A.
Affiliations
  • University of Padua (IT)
  • King's College London (GB)
  • Department of Information Engineering (DEI), University of Padova, Padova, Italy
  • Molecular Imaging Branch, National Institute of Mental Health, Bethesda, Maryland, USA
Corresponding author
Bertoldo, Alessandra
Venue
Journal of Cerebral Blood Flow & Metabolism
Published
2014-03-26
Volume
34
Issue
6
Pages
1060-1069
ISSN
  • 0271-678X (ISSN-L)
  • 1559-7016
OpenAlex
W1990940837
Cited by
121
References
32
Citations by year
2026: 2 · 2025: 5 · 2024: 3 · 2023: 3 · 2022: 3 · 2021: 16 · 2020: 12 · 2019: 20 · 2018: 18 · 2017: 17 · 2016: 8 · 2015: 11 · 2014: 3
FWCI
10.15
Type
journal article
Language
en
Open access
Locations
  • Journal of Cerebral Blood Flow & Metabolism (publishedVersion)
  • PubMed Central (publishedVersion)
  • PubMed (publishedVersion)
  • Research Portal (King's College London) (publishedVersion, other-oa)
  • Padua Research Archive (University of Padova) (submittedVersion)
Funders
National Institutes of Health
Topics
  • Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Medical Imaging Techniques and Applications
  • Life Sciences › Neuroscience › Neurology › Neuroinflammation and Neurodegeneration Mechanisms
  • Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced MRI Techniques and Applications
Keywords
[11C]PBR28, translocator protein (TSPO), kinetic modeling, endothelial binding, two-tissue compartment model, arterial input function, irreversible binding, neuroinflammation
MeSH terms
Acetamides, Carbon Isotopes, Cerebrovascular Circulation, Humans, Kinetics, Models, Cardiovascular, Nerve Tissue Proteins, Pyridines, RNA, Messenger, Receptors, GABA, Positron-Emission Tomography

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