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18 18F-Thymidine
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F-FLT PET:
Imaging Biomarkers
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ofNeuroinammations: TSPO Agents
AnnachiaraArnone andPierpaoloAlongi
19
19.1 Introduction
Neuroinammation is a biological mechanism that constantly surveys the brain microenviron­ment by neutralizing and removing various pathogen species [1]. This inammatory response can preserve the brain homeostasis and provide neuroprotective roles by promoting tissue repair and removing cellular debris [2].
Derived from early myeloid progenitors that migrate from the bone marrow into the central nervous system (CNS) during the development, microglia represent the resident immune popula­tion in the brain and along with the astrocytes play a central role in the regulation of the inam­matory state [3–5]. A range of phenotypes and functional congurations is expressed by microg­lia cells. Different factors such as genetic muta­tions, protein aggregations, trauma, injuries and infections could contribute in prolonging the inammatory stimulation (through the secretion of cytokines interleukin-1, interleukin-6, tumour necrosis factor α, and chemokines) and inducing neuronal damage [ dysregulate reactive microglia phenotype takes
A. Arnone Nuclear Medicine Unit, Department of Experimental and Clinical Biomedical Sciences “Mario Serio”, University of Florence, Florence, Italy
P. Alongi (*) Nuclear Medicine Unit, A.R.N.A.S.Ospedale Civico Di Cristina Benfratelli, Palermo, Italy
2, 6–8]. Consequently, the
part in the development of neurodegenerative dis­eases and it is now considered a key element together with the abnormal deposit of misfolded proteins [
been explored among the neurodegenerative dis­orders [13]. Neuritic plaques, which represent an Alzheimer’s disease (AD) pathological hallmark, are surrounded by microglia [14]. HIV-dementia is characterized by viral infection of microglia [15]. In multiple sclerosis, areas of demyelin­ation are rich in activated microglia [16]. Microglia activation in other neurodegenerative diseases such as Parkinson’s disease (PD) [17], Creutzfeldt–Jakob disease (CJD) [18], and amy­otrophic lateral sclerosis (ALS) [19] is known but less well characterized.
called peripheral benzodiazepine-binding site (PBR), is a mitochondrial protein expressed by immune competent cells (macrophages, microg­lia, astrocytes) and markedly increased in response to cellular injuries [ oligomeric complex comprised of the voltage­dependent anion channel and an adenine nucleotide carrier determining the mitochondrial permeabil­ity transition pore (see Fig.19.1) [22, 23].
distinct from the central benzodiazepine receptor (CBR) that is a part of the ionotropic GABA receptor localized on the plasma membrane of GABA-ergic neurons [24]. Outside the CNS,
9–12].
Various degrees of activated microglia have
The 18kDa translocator protein (TSPO), also
20, 21]. It is a part of a hetero-
PBR is structurally and pharmacologically
© The Author(s), under exclusive license to Springer Nature Switzerland AG 2024 F. Calabria, O. Schillaci (eds.), Radiopharmaceuticals,
https://doi.org/10.1007/978-3-031-54196-4_19
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Fig. 19.1 TSPO/ peripheral benzodiazepine-binding site representation. (From S.Venneti, B.J. LoprestiC.A. Wiley, 《The peripheral benzodiazepine receptor (Translocator protein 18kDa) in microglia. From
pathology to imaging》, Progress in Neurobiology. 2006. doi: 10.1016/j. pneurobio.2006.10.002
23])
[
A. Arnone and P. Alongi
PBR is ubiquitously expressed, such as in the adrenal glands, kidney, lung, heart, hormone secreting tissue, and in glia cells, also having high afnity for several 1,4-benzodiazepines [25–27].
The endogenous ligands of PBR are not com­pletely claried but some candidates have been proposed, such as the diazepam-binding inhibitor (DBI) and porphyrins. PBR is considered to be related to various cellular activities, such as ste­roidogenesis and mitochondrial functioning [28]. Being a constituent of the mitochondrial perme­ability transition pore, PBR would represent a sensor for cellular oxygen, also protecting neu-
rons against damage caused by reactive oxygen species (ROS) and regulating the mitochondrial permeability [21, 28].
Positron emission tomography (PET) imaging allows the in vivo measurements of different molecular targets, such as functional markers of neurodegeneration (glucose metabolism), mark­ers for pathological proteins (amyloid, tau, and synuclein aggregates), and also neuroinamma­tion, providing evidence for the pathophysiology in neurodegenerative diseases.
(R)-1-(2-chlorophenyl)-N-11C-methyl-N-(1­methylpropyl)-3-isoquinoline carboxamide ([11C](R)-PK11195) was the rst TSPO PET
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radioligand developed to estimate neuroin­ammatory changes in several CNS disorders [29, 30]. The rst evidence of increased TSPO binding signal using [11C](R)-PK11195in AD sensitive brain regions such as the entorhinal, temporo-parietal, and cingulate cortices was reported by Cagnin etal. [31]. However, this study also evidenced high levels of [11C](R)­PK11195 binding in regions not related to AD pathology, such as the thalamus and the brain­stem [31]. The authors have discussed these ndings as a result of regional variations in the constitutive PBR population, independently from the pathology. Edison etal. assessed the inverse correlation between Mini-Mental State Examination (MMSE) score in AD subjects and the levels of cortical microglial activation [32]. The relationship between TSPO binding and patients affected by mild cognitive impair­ment (MCI) seems to be less conclusive, since some studies reported no specic increase or only a slight increase in amyloid PET positive compared to controls [33–35]. A signicant correlation between increased microglia acti­vation and reduced glucose metabolism was also described in studies combining [11C](R)­PK11195 and 18F-uorodeoxyglucose (FDG) PET in AD patients. This nding suggested that neuroinammation may dynamically act with synaptic dysfunction and glucose hypo­metabolism throughout the AD pathogenetic process [36, 37].
It is widely declared that TSPO PET signal reveals reactive microglia, although a few studies proposed a potential contribution of reactive astrocytes [ very different roles, it remains essential to deter­mine whether reactive astrocytes can also overex­press TSPO and lead to a detectable TSPO PET signal in vivo [38]. Moreover, TSPO does not discriminate between resting state, pro­inammatory and neuroprotective microglia sub­types [39]. New PET radiotracers which more specically represent the status of microglial cells are needed to better assess the role of neuro­inammation in the development of neurodegen­erative diseases.
38]. As astrocytes and microglia play
19.2 Synthesis
In accordance with Investigational New Drug Application #101,908, the [11C](R)-PK11195 synthesis is based on labelling the precursor N-Desmetil-(R)-PK11195 with 11C through methylation agent (11CH3I). The methylation agent is trapped in reactor, the nitrogen ow is stopped, and the reaction is allowed to proceed for a few minutes. The reaction proceeds by the N-methylation of N-Desmetil-(R)-PK11195 with a methyl group labelled with 11C via nucleophilic substitution.
19.3 Pharmacokinetics
A well-known PET imaging advantage over other modalities is the ability to extract quantitative information regarding pathophysiological param­eters that are relevant to a disease process. Mathematical models can be applied to PET image data in order to derive estimates from observations of the kinetic behaviour of a radio­tracer, which may be altered by various factors such as perfusion, tissue clearance, peripheral metabolism, and receptor binding phenomena. The instability of [11C](R)-PK11195 in plasma and its poor specic binding ratio (SBR) interfere with the validation of a compartmental model to describe the kinetic behaviour in the brain [40]. Consequently, other methods including the sim­plied reference tissue model (SRTM) proposed by Lammertsma etal. have been considered [ This method consists of a simplication of the model equations, assuming a specic underlying model conguration and providing a distribution volume ratio (DVR) or binding potential (BP) estimation directly from the images by using a reference tissue that could represent the arterial input function [40]. Nevertheless, while BP obtained from a plasma input model could con­tain a nonspecic component resulting in an overestimation, a reference tissue containing a low specic binding component would result in an underestimation of reference tissue model BP.In an effort to overcome these limits, an opti-
41].
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mal compartmental model of the brain kinetics of [11C](R)-PK11195 has been proposed and vali­dated by Kropholler etal. [42]. The authors con­sidered several model congurations and based on statistical criterion concluded that a reversible two-tissue compartments model, using a metabo­lite corrected plasma input function, best describes [11C](R)-PK11195 kinetics.
19.4 Physiological Distribution
In the normal healthy brain, TSPO is located in ependymal cells lining the ventricles, the olfac­tory bulb, the choroid plexus, and glial cells, including astrocytes and microglia [23, 43]. In studies that have evaluated [11C](R)-PK11195BP in healthy controls, a TSPO over-expression is documented in the subcortical structures, such as thalamus, midbrain, pons, and brainstem, with midbrain and thalamus showing signicant increase with age [30, 44, 45].
19.5 Acquisition Protocols
Given the multitude of TSPO PET tracers under­development and not yet completely validated for clinical practice, there is not one xed acquisition protocol for all of them. However, regarding[11C] (R)-PK11195, the tracers with the largest collec­tive experience to date, a range dose of 244–481 MBq followed by a dynamic acquisi­tion for a total duration of 60 minutes is most commonly used in the research studies [
46].
19.6 Potential Clinical
Applications: Research Outcomes
AD neurodegeneration is associated with a local glial response within the brain parenchyma that involves the activation of microglia cells. Recent studies have implied an active role in the media­tion between the amyloid deposits and the subse­quent tissue damage via release of cytokines and cytotoxic molecules. The in vivo detection of
11
increased [ Alzheimer-type dementia, including mild and initial forms, has suggested that microglial acti­vation could represent an early event in the patho­genesis of the disease [31].
Microglia activation has been also related to other diseases such as dementia with Lewy bod­ies (DLB) and PD. These pathologies are both associated with neuronal loss and α-synuclein protein aggregated forms accumulation. Oxidative damage, mitochondrial dysfunction, and reactive microgliosis have been recently cor­related to the pathogenesis and the progression of neuronal damage in PD and DLB, contributing to neuronal death. Neuroinammation occurs as a local response driven by microglia in absence of leukocyte inltration and may cause neuronal damage through cytotoxic molecules such as pro­inammatory cytokines, proteinases, and reac­tive oxygen intermediates. Oxidative damage induces protein alterations among which the car­bonylation is the most common [47].
As well as for the histopathological correlates of neuroinammation, post-mortem studies in PD patients reported activated microglia in the substantia nigra, putamen, cingulate cortex, and medial temporal structures [17]. This ndings have suggested that the pathogenic insult induces a progressive inammatory/cytotoxic response, starting likely near the sites of active brain pathol­ogy and going at distance, possibly as a conse­quence of disconnection processes. An association between activated microglia and α-synuclein aggregates has been also reported in post-mortem DLB studies [ patients, the microglia-mediated inammatory process seems to progressively surround degen­erated neurons containing Lewy bodies inclusions.
Neuroinammation has been also reported using [11C](R)-PK11195 PET in PD and in Parkinsonisms, such as corticobasal degeneration (CBD)and progressive supranuclear palsy (PSP) [49–51]. The previous PET studies of microglia activation in PD showed different patterns of inammation involving either selectively mid­brain and putamen or more diffusely basal gan­glia, pons and cortical regions [47].
C](R)-PK11195 binding in
48]. Thus, in these
z =
x = –8
z scores
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In a study of Gerhard etal., 18 PD patients were examined by clinical evaluation, [11C](R)­PK11195 and [18F]-DOPA PET. They showed signicantly increased mean levels of [11C](R)­PK11195 binding in the pons, basal ganglia and in the frontal and temporal cortical regions. Among them, eight patients were followed longi­tudinally, reporting a stable [11C](R)-PK11195 signal over 2years [51]. The levels of microglial activation did not correlate with clinical severity or putamen [18F]-DOPA uptake. The invivo nd­ings of this study have conrmed that widespread microglial activation was associated with the pathological process in PD, while the lack of sig­nicant longitudinal changes has suggested that microglia were activated early in the pathologic
process, and the levels then remained relatively stable, possibly driving the downstream pathol­ogy via cytokine release (see Fig.19.2) [51].
Microgliosis is also part of the immunobiol­ogy of CJD.Despite the rarity of the disease, a study rst evaluated 11C-(R)-PK11195 PET imaging invivo to measure TSPO expression, in symptomatic CJD patients, followed by a post­mortem neuropathology comparison [46]. The study included genetic (gCJD), sporadic (sCJD), and variant (vCJD) CJD forms. TSPO BPs were estimated using clustering and parametric analy­ses of reference regions. Statistical comparisons were run at the regional and at the voxel-wise lev­els. Post-mortem evaluation measured scrapie prion protein (PrPSc) immunoreactivity, neuronal
Fig. 19.2 Transverse (z=4), coronal (y=−2), and sagit- tal projections (x = −8) of statistical parametric maps (SPM). Between-group comparison: volumes of signi­cant between-group differences in [ binding potential (BP) for the group of normal subjects and patients with PD (cluster level p<0.05). The volumes are superimposed on the standard single-subject MRI in SPM99 in radiological orientation. The images show
4
11
C](R)-PK11195
y = –2
6
5
4
3
2
1
0
increase in BP in the striatum, thalamus, cerebellum, fron­tal and temporal cortex. (From Gerhard A, Pavese N,
Hotton G, Turkheimer F, Es M, Hammers A, Eggert K, Oertel W, Banati RB, Brooks DJ. In vivo imaging of microglial activation with [11C](R)-PK11195 PET in idiopathic Parkinson’s disease. Neurobiol Dis. 2006 Feb;21(2):404–12. doi: 10.1016/j.nbd.2005.08.002. Epub 2005 Sep 21. PMID: 16182554 [
51])
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loss, spongiosis, astrogliosis, and microgliosis.
11
C-(R)-PK11195 PET showed a signicant TSPO over-expression at the cortical level in the two sCJD patients, as well as thalamic and cere­bellar involvement; very limited parieto-occipital activation in the gCJD case; and signicant increases at the subcortical level in the thalamus, basal ganglia, and midbrain and in the cerebel­lum in the vCJD brain. The study claried that TSPO over-expression in microglia activation, topography, and extent can vary in CJD subtypes, possibly as a consequence of fast apoptotic pro­cesses, but reaches a large amount at the nal dis­ease course [46].
19.7 Clinical Cases
A clinical series on TSPO PET imaging in MCI suspected for AD is reported as follows (see Fig.19.3), from the study: Tondo G, Boccalini C,
Caminiti SP, Presotto L, Filippi M, Magnani G, Frisoni GB, Iannaccone S, Perani D. Brain Metabolism and Microglia Activation in Mild Cognitive Impairment: A Combined [18F]FDG and [11C]-(R)-PK11195 PET Study. J Alzheimer’s Dis. 2021;80(1):433–445. doi:
10.3233/JAD-201351. PMID: 33579848 [52].
MCI01 (Fig. 19.3): A 56-year-old male received a diagnosis of amnestic MCI due to a selective memory decit (MMSE: 25/30). FDG SPM t-map revealed hypometabolism in temporo­posterior cingulate cortex, bilaterally, as in the typical AD-like hypometabolism pattern, sug­gesting an underlying AD pathology [53–55]. Increased TSPO expression was widespread, involving mainly the temporo-parietal and the frontal cortex but also the occipital and the poste­rior cingulate cortex.
sented with difculties in naming and mild mem­ory problems with normal global cognitive status (MMSE: 27/30). FDG SPM t-map showed hypo­metabolism mainly involving the left superior, middle, and inferior temporal gyri and the infe­rior and superior parietal lobules on the left side, as a typical pattern of logopenic primary progres-
parietal cortex, in the precuneus and the
MCI02 (Fig. 19.3): A 75-year-old man pre-
sive aphasia [
56, 57]. [11C](R)-PK11195 PET
revealed left-lateralized microglia activation in the temporal, parietal, and frontal regions.
MCI03 (Fig. 19.3): A 65-year-old man pre- sented with impaired performances in tests evalu­ating memory and visuospatial abilities (MMSE: 28/30). FDG SPM t-map showed hypometabo­lism involving temporo-parietal and occipital regions, as usually observed in posterior cortical atrophy [58, 59]. [11C](R)-PK11195 BPs were increased in occipital, temporal, and parietal regions bilaterally, with signicant overlap with hypometabolism in the posterior cortical regions.
MCI04 (Fig. 19.3): A 53-year-old man was diagnosed as MCI showing memory decits, executive and behavioural disturbances, including apathy and irritability (MMSE: 27/30). CSF anal­ysis revealed low amyloid and high p-tau and t-tau levels, suggesting a diagnosis of MCI due to AD [60]. FDG SPM t-map revealed diffuse hypo­metabolism involving the right frontal, the lateral temporal, and parietal cortices but also the precu­neus and the posterior cingulate cortex. [11C](R)­PK11195 BPs map showed very limited microglia activation, involving frontal and temporal medial cortices and subcortical regions.
MCI05 (Fig.19.3): A 73-year-old female pre- sented a pure amnestic syndrome without any other objective decit (MMSE: 27/30). Structural imaging showed atrophy of the medial temporal lobe structures. FDG SPM t-map showed a selec­tive hypometabolism involving the medial and anterior temporal lobes and the posterior cingu­late cortex. This metabolism pattern has been associated with long-term clinical stability and several possible underlying aetiologies, includ­ing primary age-related tauopathy, hippocampal sclerosis, argyrophilic brain disease, and the limbic-
predominant age-related TDP-43 enceph­alopathy [61–63]. [11C](R)-PK11195 BPs were increased in temporal medial structures but also in right temporal lateral cortex and to a lesser degree in the orbitofrontal regions.
MCI06 (Fig. 19.3): A 62-year-old female received a diagnosis of amnestic MCI due to memory decit without impact on global cogni­tive status (MMSE: 29/30). FDG-PET scan was unremarkable. When compared with controls,
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Fig. 19.3 Patterns of [18F]18F-FDG-PET brain hypome- tabolism and [ single individuals. (From Tondo G, Boccalini C, Caminiti
SP, Presotto L, Filippi M, Magnani G, Frisoni GB, Iannaccone S, Perani D.Brain Metabolism and Microglia
11
C](R)-PK11195 PET binding potentials in
[11C](R)-PK11195 PET analysis showed unre­markable microglia activation.
MCI07 (Fig. 19.3): A 71-year-old male was diagnosed as MCI due to difculties in language tasks which did not impact on his activities of daily living (MMSE: 27/30). He also manifested anxiety and depression. Structural imaging showed a marked cortical atrophy mainly involving frontal and parietal regions of the right hemisphere. FDG SPM t-map revealed a signicant frontotemporal hypometabolism with an extensive involvement of the perisylvian cortex including the parietal oper­cula, bilaterally. Both MRI and 18F-FDGPET were thus highly suggestive for corticobasal degeneration [64, 65]. [11C](R)-PK11195 BPs map revealed increased TSPO signal in temporo-pari-
Activation in Mild Cognitive Impairment: A Combined [18F]FDG and [11C]-(R)-PK11195 PET Study. J Alzheimer’s Dis. 2021;80(1):433–445. doi: 10.3233/JAD-
201351. PMID: 33579848 [52])
etal regions, amygdala, and in subcortical regions including pallidum and putamen.
MCI08 (Fig. 19.3): A 56-year-old woman presented anxiety, depression, and attentive dis­turbances (MMSE: 27/30). FDG SPM t-map showed asymmetric hypometabolism in the dor­solateral frontal cortex, and in the lateral tempo­ral and inferior parietal cortex, more evident in the right hemisphere, suggesting a frontotempo­ral dementia-like pattern. [11C](R)-PK11195 PET analysis showed microglia activation in the fron­tal cortex, lateral temporal, occipital, and parietal cortex and, notably, prevalent on the right side.
About CJD, we report a case series from a study published by Iaccarino etal. (see Fig.19.4) [46]. All the patients were diagnosed following a standardized
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Fig. 19.4 Single-subject CJD 11C-(R)-PK11195 BPCDCA z-score maps. Single-subject z-score maps of the CJD patients. Minimum z-score was set at z>2.58 (99% condence, i.e., p<0.01), to show only voxels with values signicantly higher in the individual patient when compared to the HC distribution. Multiple transaxial, coronal, and sagittal views are shown. Warped 11C-(R)-PK11195 BPCDCA z-score maps are overlaid on the standard SPM T1 template. gCJD genetic CJD,
protocol including EEG polygraphic recordings, cerebral magnetic resonance imaging (MRI), CSF examination for 14-3-3 and tau protein, and sequencing of the open reading frame of the PRNP gene, and all had post- mortem specimen assess­ment with pathology conrmation. The gCJD
sCJD1 sporadic CJD case 1, sCJD2 sporadic CJD case 2, vCJD variant CJD. (Published in Iaccarino L, Moresco
RM, Presotto L, Bugiani O, Iannaccone S, Giaccone G, Tagliavini F, Perani D.An In Vivo 11C-(R)-PK11195 PET and In Vitro Pathology Study of Microglia Activation in Creutzfeldt-Jakob Disease. Mol Neurobiol. 2018 Apr;55(4):2856–2868. doi: 10.1007/s12035-017-0522-6. Epub 2017 Apr 28. PMID: 28455699 [
46])
patient presented aV210I mutation, which is the most frequent PRNP mutation in Italy. The clinical presentation of the four CJD patients was heteroge­neous, including behavioural and personality changes, motor and visual signs, somatosensory decits, myoclonus, and cognitive decits [46].
19 Imaging Biomarkers ofNeuroinammations: TSPO Agents
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19.8 Variants andPitfalls
One peculiar aspect of [11C]-(R)-PK11195 stud­ies in the brain is the very scarce presence of the PBRs in the normal brain. This renders the mod­elling of this tracer particularly difcult because effects of no interest such as tissue heterogeneity and vascular signal become predominant, whereas the abundant presence of the PBRs in the periphery affects the availability of [11C]-(R)-PK11195 for binding in the brain. This problem affects the denition of a reference region, a process that already must take into account the unknown location of microglia acti­vation. In the study of Turkheimer etal., using a supervised clustering procedure, totally auto­matic, was possible to extract a grey matter refer­ence region devoid of nuisance signal [66]. A relevant nding of the study was the presence of a slowly equilibrating kinetic component in the tissue time–activity curves. Evidence from immuno-histochemistry suggests that this signal is specic for PBRs binding in the vasculature, and its kinetic, although different from that of specic binding to activated microglia, resembles closely the [11C](R)-PK11195 kinetic in the heart [29]. The presence of this additional component introduced another level of complexity in the kinetic modelling of ROI time–activity curves. The effective extraction of a reference region combined with parameter estimation through RS-ESA could provide an excellent agreement between plasma input and reference tissue input2-derived BPs that were also highly corre­lated (r 5 0.811, P, 1025). This validates further the use of reference region modelling for the quantication of [ direct comparison with the plasma input counter­part. Finally, Turkheimer etal. investigated the reliability of the new reference extraction when BP parametric maps for [11C](R)-PK11195 are produced on a test–retest dataset. In this applica­tion, given the generally low signal-to-noise ratio in [11C](R)-PK11195 studies, SRTM was the method of choice for kinetic analysis. Results conrmed a substantial increase in the reliability of the estimates with the new supervised approach (mean ICC 5 0.878) compared with the unsuper-
11
C](R)-PK11195 and allows
vised approach (mean ICC 5 0.596) and low test– retest variability (10.6%) [66].
19.9 Future Directions: New
Radiopharmaceuticals
Several second-generation TSPO radioligands having lower lipophilicity than [11C](R)­PK11195 and consequently higher specic to nonspecic binding have been developed and may be soon suitable for neuroinammation PET imaging [67–69].The radioligand N-(2,5-11C­dimethoxybenzyl)-N-(5-fluoro-2­phenoxyphenyl)acetamide ([11C]DAA1106) has shown increased TSPO binding in AD and MCI patients compared to healthy subjects [70, 71]. The 18F analogue of DAA1106, N-(5-uoro-2­phenoxyphenyl)-N-(2-18F-fluoroethyl-5-me­thoxybenzyl)acetamide ([18F]FEDAA1106) has not demonstrated signicant increase in TSPO binding in AD patients in comparison with con­trols [72]. Other compounds that are still in pre­clinical stages of development include deuterium-substituted analogues of [18F]-FEDAA1106 that are less susceptible to in vivo deuorination [73, 74], high-afnity quinoline-carboxamides ([11C]-VC195), and halogenated 2-quinolinecarboxamides that are structurally similar to PK11195 [75, 76], [11C]-vinpocetine [77], and pyrazolopyrimidine [11C]-DPA-713 [78].
Moreover, in the complex process of the neu­roinammations in which microglial activation takes part, the development of invivo imaging biomarkers that can evidence other pathways of this mechanism is ongoing in the research eld. The cannabinoid type 2 receptor (CB2R) is expressed by microglia and 11c-NE40 has shown an interesting lower CB2R binding in AD patients compared to healthy subjects, without any rela­tionship to Aβ load [ compound, a selective P2X7 receptor tracer under the name of 11C-JNJ717 was tested both in healthy people and PD patient. P2X7 recep­tor is an ATP-gated ion channel predominantly expressed on activated microglia and is important in neurodegenerative diseases including PD.The
79]. Another radiolabelled