Skip to main content

Advertisement

Log in

First-in-human in vivo imaging and quantification of monoacylglycerol lipase in the brain: a PET study with 18F-T-401

  • Original Article
  • Published:
European Journal of Nuclear Medicine and Molecular Imaging Aims and scope Submit manuscript

A Correction to this article was published on 11 April 2022

This article has been updated

Abstract

Purpose

Monoacylglycerol lipase (MAGL) regulates cannabinoid neurotransmission and the pro-inflammatory arachidonic acid pathway by degrading endocannabinoids. MAGL inhibitors may accordingly act as cannabinoid-potentiating and anti-inflammatory agents. Although MAGL dysfunction has been implicated in neuropsychiatric disorders, it has never been visualized in vivo in human brain. The primary objective of the current study was to visualize MAGL in the human brain using the novel PET ligand 18F-T-401.

Methods

Seven healthy males underwent 120-min dynamic 18F-T-401-PET scans with arterial blood sampling. Six subjects also underwent a second PET scan with 18F-T-401 within 2 weeks of the first scan. For quantification of MAGL in the human brain, kinetic analyses using one- and two-tissue compartment models (1TCM and 2TCM, respectively), along with multilinear analysis (MA1) and Logan graphical analysis, were performed. Time-stability and test–retest reproducibility of 18F-T-401-PET were also evaluated.

Results

18F-T-401 showed rapid uptake and gradual washout from the brain. Logan graphical analysis showed linearity in all subjects, indicating reversible radioligand kinetics. Using a metabolite-corrected arterial input function, MA1 estimated regional total distribution volume (VT) values by best identifiability. VT values were highest in the cerebral cortex, moderate in the thalamus and putamen, and lowest in white matter and the brainstem, which was in agreement with regional MAGL expression in the human brain. Time-stability analysis showed that MA1 estimated VT values with a minimal bias even using truncated 60-min scan data. Test–retest reliability was also excellent with the use of MA1.

Conclusions

Here, we provide the first demonstration of in vivo visualization of MAGL in the human brain. 18F-T-401 showed excellent test–retest reliability, reversible kinetics, and stable estimation of VT values consistent with known regional MAGL expressions. PET with 18F-T-401-PET is promising tool for measurement of central MAGL.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7

Similar content being viewed by others

Change history

References

  1. Castillo PE, Younts TJ, Chávez AE, Hashimotodani Y. Endocannabinoid signaling and synaptic function. Neuron. 2012;76:70–81.

    Article  CAS  Google Scholar 

  2. Sugiura T, Kondo S, Sukagawa A, Nakane S, Shinoda A, Itoh K, et al. 2-Arachidonoylglycerol: a possible endogenous cannabinoid receptor ligand in brain. Biochem Biophys Res Commun. 1995;215:89–97.

    Article  CAS  Google Scholar 

  3. Sugiura T, Kondo S, Sukagawa A, Tonegawa T, Nakane S, Yamashita A, et al. Transacylase-mediated and phosphodiesterase-mediated synthesis of N-arachidonoylethanolamine, an endogenous cannabinoid-receptor ligand, in rat brain microsomes. Comparison with synthesis from free arachidonic acid and ethanolamine. Eur J Biochem. 1996;240:53–62.

    Article  CAS  Google Scholar 

  4. Ohno-Shosaku T, Maejima T, Kano M. Endogenous cannabinoids mediate retrograde signals from depolarized postsynaptic neurons to presynaptic terminals. Neuron. 2001;29:729–38.

    Article  CAS  Google Scholar 

  5. Pan B, Wang W, Long JZ, Sun D, Hillard CJ, Cravatt BF, et al. Blockade of 2-arachidonoylglycerol hydrolysis by selective monoacylglycerol lipase inhibitor 4-nitrophenyl 4-(dibenzo[d ][1,3]dioxol-5-yl(hydroxy)methyl)piperidine-1-carboxylate (jzl184) enhances retrograde endocannabinoid signaling. J Pharmacol Exp Ther. 2009;331:591–7.

    Article  CAS  Google Scholar 

  6. Blankman JL, Simon GM, Cravatt BF. A comprehensive profile of brain enzymes that hydrolyze the endocannabinoid 2-arachidonoylglycerol. Chem Biol. 2007;14:1347–56.

    Article  CAS  Google Scholar 

  7. Ogawa S, Kunugi H. Inhibitors of fatty acid amide hydrolase and monoacylglycerol lipase: new targets for future antidepressants. Curr Neuropharmacol. 2015;13:760–75.

    Article  CAS  Google Scholar 

  8. Zhong P, Wang W, Pan B, Liu X, Zhang Z, Long JZ, et al. Monoacylglycerol lipase inhibition blocks chronic stress-induced depressive-like behaviors via activation of mTOR signaling. Neuropsychopharmacology. 2014;39:1763–76.

    Article  CAS  Google Scholar 

  9. Nomura DK, Hudak CSS, Ward AM, Burston JJ, Issa RS, Fisher KJ, et al. Monoacylglycerol lipase regulates 2-arachidonoylglycerol action and arachidonic acid levels. Bioorg Med Chem Lett. 2008;18:5875–8.

    Article  CAS  Google Scholar 

  10. Chen R, Zhang J, Wu Y, Wang D, Feng G, Tang Y-P, et al. Monoacylglycerol lipase is a therapeutic target for Alzheimer’s disease. Cell Rep. 2012;2:1329–39.

    Article  CAS  Google Scholar 

  11. Pasquarelli N, Porazik C, Bayer H, Buck E, Schildknecht S, Weydt P, et al. Contrasting effects of selective MAGL and FAAH inhibition on dopamine depletion and GDNF expression in a chronic MPTP mouse model of Parkinson’s disease. Neurochem Int. 2017;110:14–24.

    Article  CAS  Google Scholar 

  12. Wang C, Placzek MS, Van de Bittner GC, Schroeder FA, Hooker JM. A novel radiotracer for imaging monoacylglycerol lipase in the brain using positron emission tomography. ACS Chem Neurosci. 2016;7:484–9.

    Article  CAS  Google Scholar 

  13. Wang L, Mori W, Cheng R, Yui J, Hatori A, Ma L, et al. Synthesis and preclinical evaluation of sulfonamido-based [(11)C-carbonyl]-carbamates and ureas for imaging monoacylglycerol lipase. Theranostics. 2016;6:1145–59.

    Article  CAS  Google Scholar 

  14. Ahamed M, Attili B, van Veghel D, Ooms M, Berben P, Celen S, et al. Synthesis and preclinical evaluation of [11C]MA-PB-1 for in vivo imaging of brain monoacylglycerol lipase (MAGL). Eur J Med Chem. 2017;136:104–13.

    Article  CAS  Google Scholar 

  15. Hattori Y, Aoyama K, Maeda J, Arimura N, Takahashi Y, Sasaki M, et al. Design, synthesis, and evaluation of (4 R)-1-{3-[2-(18F)fluoro-4-methylpyridin-3-yl]phenyl}-4-[4-(1,3-thiazol-2-ylcarbonyl)piperazin-1-yl]pyrrolidin-2-one ([18F]T-401) as a novel positron-emission tomography imaging agent for monoacylglycerol lipase. J Med Chem. 2019;62:2362–75.

    Article  CAS  Google Scholar 

  16. Hattori Y, Seki C, Maeda J, Nagai Y, Aoyama K, Zhang M-R, et al. Quantification of monoacylglycerol lipase and its occupancy by an exogenous ligand in rhesus monkey brains using [18F]T-401 and PET. J Cereb Blood Flow Metab. 2021;271678X211058285.

  17. Takahata K, Kimura Y, Seki C, Tokunaga M, Ichise M, Kawamura K, et al. A human PET study of [11C]HMS011, a potential radioligand for AMPA receptors. EJNMMI Res. 2017;7:63.

    Article  Google Scholar 

  18. Klein A, Tourville J. 101 labeled brain images and a consistent human cortical labeling protocol. Front Neurosci. 2012;6:171.

    Article  Google Scholar 

  19. Iglesias JE, Van Leemput K, Bhatt P, Casillas C, Dutt S, Schuff N, et al. Bayesian segmentation of brainstem structures in MRI. Neuroimage. 2015;113:184–95.

    Article  Google Scholar 

  20. Fischl B, Salat DH, Busa E, Albert M, Dieterich M, Haselgrove C, et al. Whole brain segmentation: Neurotechnique automated labeling of neuroanatomical structures in the human brain. Neuron. 2002;33:341–55.

    Article  CAS  Google Scholar 

  21. Innis RB, Cunningham VJ, Delforge J, Fujita M, Gjedde A, Gunn RN, et al. Consensus nomenclature for in vivo imaging of reversibly binding radioligands. J Cereb Blood Flow Metab. 2007;27:1533–9.

    Article  CAS  Google Scholar 

  22. Logan J, Fowler JS, Volkow ND, Wolf AP, Dewey SL, Schlyer DJ, et al. Graphical analysis of reversible radioligand binding from time—activity measurements applied to [N-11C-methyl]-(−)-cocaine PET studies in human subjects. J Cereb Blood Flow Metab. SAGE Publications Ltd STM; 1990;10:740–7.

  23. Ichise M, Toyama H, Innis RB, Carson RE. Strategies to improve neuroreceptor parameter estimation by linear regression analysis. J Cereb Blood Flow Metab. 2002;22:1271–81.

    Article  Google Scholar 

  24. Akaike H. A new look at the statistical model identification. IEEE Trans Automat Contr. 1974;19:716–23.

    Article  Google Scholar 

  25. Schwarz G. Estimating the dimension of a model. Ann Statist. 1978;6:461–4.

    Article  Google Scholar 

  26. Fujita M, Seibyl JP, Verhoeff NP, Ichise M, Baldwin RM, Zoghbi SS, et al. Kinetic and equilibrium analyses of [123I]epidepride binding to striatal and extrastriatal dopamine D2 receptors. Synapse. 1999;34:290–304.

    Article  CAS  Google Scholar 

  27. Hawkins RA, Phelps ME, Huang S-C. Effects of temporal sampling, glucose metabolic rates, and disruptions of the blood-brain barrier on the FDG model with and without a vascular compartment: studies in human brain tumors with PET. J Cereb Blood Flow Metab. 1986;6:170–83.

    Article  CAS  Google Scholar 

  28. Yamasaki T, Mori W, Zhang Y, Hatori A, Fujinaga M, Wakizaka H, et al. First demonstration of in vivo mapping for regional brain monoacylglycerol lipase using PET with [11C]SAR127303. Neuroimage. 2018;176:313–20.

    Article  CAS  Google Scholar 

  29. Veronese M, Zanotti-Fregonara P, Rizzo G, Bertoldo A, Innis RB, Turkheimer FE. Measuring specific receptor binding of a PET radioligand in human brain without pharmacological blockade: The genomic plot. Neuroimage. 2016;130:1–12.

    Article  CAS  Google Scholar 

  30. Di Marzo V, Matias I. Endocannabinoid control of food intake and energy balance. Nat Neurosci. Springer Science and Business Media LLC; 2005;8:585–9.

  31. Yoshida K, Kita Y, Tokuoka SM, Hamano F, Yamazaki M, Sakimura K, et al. Monoacylglycerol lipase deficiency affects diet-induced obesity, fat absorption, and feeding behavior in CB1 cannabinoid receptor-deficient mice. FASEB J. 2019;33:2484–97.

    Article  CAS  Google Scholar 

  32. Santoro A, Mele E, Marino M, Viggiano A, Nori SL, Meccariello R. The complex interplay between endocannabinoid system and the estrogen system in central nervous system and periphery. Int J Mol Sci. 2021;22:972.

    Article  CAS  Google Scholar 

  33. Piyanova A, Lomazzo E, Bindila L, Lerner R, Albayram O, Ruhl T, et al. Age-related changes in the endocannabinoid system in the mouse hippocampus. Mech Ageing Dev. 2015;150:55–64.

    Article  CAS  Google Scholar 

Download references

Acknowledgements

We thank Yasushi Hattori for providing animal PET data, Katsuyuki Tanimoto, Takamasa Maeda, and the members of the Translational Team for their support with PET and MRI scans, Shizuko Kawakami, Kazuko Suzuki, and Haruka Yamamoto for their assistance as clinical coordinators, the staff of the Department of Radiopharmaceuticals Development for their radioligand synthesis and metabolite analysis, Masami Nishizuka for support with arterial blood sampling, and Izumi Kaneko, Chieko Kurihara, and Atsuo Waki for monitoring and auditing of the study

Author information

Authors and Affiliations

Authors

Contributions

Keisuke Takahata and Makoto Higuchi contributed to conception and design, acquiring, analyzing and interpreting data, drafting, and revising the manuscript. Keisuke Takahata, Chie Seki, Manabu Kubota, Yasunori Sano, Yasuharu Yamamoto, Kenji Tagai, Hitoshi Shimada, Soichiro Kitamura, Kiwamu Matsuoka, Hironobu Endo, Hitoshi Shinotoh and Yuhei Takado participated in data acquisition. Kazunori Kawamura and Ming-Rong Zhang were in charge of radioligand synthesis. Yasuyuki Kimura and Masanori Ichise contributed to analyzing and interpreting data. The first draft of the manuscript was written by Keisuke Takahata and all authors commented on previous versions of the manuscript. All authors read and approved the final manuscript.

Corresponding author

Correspondence to Keisuke Takahata.

Ethics declarations

Ethics approval and consent to participate

This study was approved by the Radiation Drug Safety Committee, and the Institutional Review Board of National Institutes for Quantum Science and Technology, Chiba, Japan, and was carried out in accordance with the ethical standards laid down in the 1964 Declaration of Helsinki and its later amendments. After complete description of the study, written informed consent was obtained from all participants.

Consent for publication

Written informed consent was obtained from all participants regarding publishing their data.

Competing interests

MH has received grant support from Takeda Pharmaceutical Company Limited. All other authors declare that they have no conflicts of interest. The precursor and reference standard of 18F-T-401 for the present study were provided by Takeda Pharmaceutical Company Limited. This study was supported in part by a Grant-in-Aid for Scientific Research C (20K07935), a grant from the General Insurance Association of Japan (2020–2021) to KT, a Grants-in-Aid for Brain Mapping by Integrated Neurotechnologies for Disease Studies (Brain/MINDS; 21dm0207072h0003), Strategic International Brain Science Research Promotion Program (Brain/MINDS Beyond; 20dm0307105h0002), JST Grant Number JPMJMS2024, and AMED Grant Number 20356533 to MH.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

This article is part of the Topical Collection on Neurology – Dementia

The original online version of this article was revised: The authors regret that the title that appears in the original article is incorrect.

Methods of the assessment of radiometabolites in plasma by high-performance liquid chromatography (HPLC) in the supplementary should also be corrected.

The author wrote “An aliquot of the supernatant was analyzed by radio-HPLC (Analytical column: Waters XBridge OST C18 (10 x 50 mm; particle size, 2.5 μm), acetonitrile (90 %; A) and ammonium acetate (0.02 M; B) were used as mobile phases (40/60 A/B) at a flow rate of 5.0 mL/min.”. This was incorrect. The correct description is “An aliquot of the supernatant was analyzed by radio-HPLC with a C18 column (Main column: Waters Atlantis T3 OBD Prep, 10 x 150 mm; particle size, 5 μm; guard column: Waters Atlantis T3, 10 x 10 mm; particle size, 5 μm), and the mixture of acetonitrile (A) and water (B) were used as mobile phases (A/B, 40/60) at a flow rate of 4.5 mL/min.”

The original article has been corrected.

Supplementary Information

Below is the link to the electronic supplementary material.

Supplementary file1 (DOCX 507 KB)

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Takahata, K., Seki, C., Kimura, Y. et al. First-in-human in vivo imaging and quantification of monoacylglycerol lipase in the brain: a PET study with 18F-T-401. Eur J Nucl Med Mol Imaging 49, 3150–3161 (2022). https://doi.org/10.1007/s00259-021-05671-y

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00259-021-05671-y

Keywords

Navigation