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El Biali M, Wölfl‐Duchek M, Jackwerth M, Mairinger S, Weber M, Bamminger K, Poschner S, Rausch I, Schindler N, Lozano IH, Jäger W, Nics L, Tournier N, Hacker M, Zeitlinger M, Bauer M, Langer O. St. John's wort extract with a high hyperforin content does not induce P-glycoprotein activity at the human blood-brain barrier. Clin Transl Sci 2024; 17:e13804. [PMID: 38700454 PMCID: PMC11067874 DOI: 10.1111/cts.13804] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2024] [Revised: 04/04/2024] [Accepted: 04/11/2024] [Indexed: 05/05/2024] Open
Abstract
St. John's wort (SJW) extract, a herbal medicine with antidepressant effects, is a potent inducer of intestinal and/or hepatic cytochrome P450 (CYP) enzymes and P-glycoprotein (P-gp), which can cause clinically relevant drug interactions. It is currently not known whether SJW can also induce P-gp activity at the human blood-brain barrier (BBB), which may potentially lead to decreased brain exposure and efficacy of certain central nervous system (CNS)-targeted P-gp substrate drugs. In this study, we used a combination of positron emission tomography (PET) imaging and cocktail phenotyping to gain a comprehensive picture on the effect of SJW on central and peripheral P-gp and CYP activities. Before and after treatment of healthy volunteers (n = 10) with SJW extract with a high hyperforin content (3-6%) for 12-19 days (1800 mg/day), the activity of P-gp at the BBB was assessed by means of PET imaging with the P-gp substrate [11C]metoclopramide and the activity of peripheral P-gp and CYPs was assessed by administering a low-dose phenotyping cocktail (caffeine, omeprazole, dextromethorphan, and midazolam or fexofenadine). SJW significantly increased peripheral P-gp, CYP3A, and CYP2C19 activity. Conversely, no significant changes in the peripheral metabolism, brain distribution, and P-gp-mediated efflux of [11C]metoclopramide across the BBB were observed following the treatment with SJW extract. Our data suggest that SJW does not lead to significant P-gp induction at the human BBB despite its ability to induce peripheral P-gp and CYPs. Simultaneous intake of SJW with CNS-targeted P-gp substrate drugs is not expected to lead to P-gp-mediated drug interactions at the BBB.
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Affiliation(s)
- Myriam El Biali
- Department of Clinical PharmacologyMedical University of ViennaViennaAustria
- Division of Clinical Pharmacology and ToxicologyGeneva University HospitalsGenevaSwitzerland
| | - Michael Wölfl‐Duchek
- Department of Clinical PharmacologyMedical University of ViennaViennaAustria
- Department of Biomedical Imaging und Image‐guided Therapy, Division of Nuclear MedicineMedical University of ViennaViennaAustria
| | - Matthias Jackwerth
- Department of Clinical PharmacologyMedical University of ViennaViennaAustria
| | - Severin Mairinger
- Department of Clinical PharmacologyMedical University of ViennaViennaAustria
- Department of Biomedical Imaging und Image‐guided Therapy, Division of Nuclear MedicineMedical University of ViennaViennaAustria
| | - Maria Weber
- Department of Clinical PharmacologyMedical University of ViennaViennaAustria
| | - Karsten Bamminger
- Department of Biomedical Imaging und Image‐guided Therapy, Division of Nuclear MedicineMedical University of ViennaViennaAustria
| | - Stefan Poschner
- Department of Pharmaceutical SciencesUniversity of ViennaViennaAustria
| | - Ivo Rausch
- QIMP Team, Center for Medical Physics and Biomedical EngineeringMedical University of ViennaViennaAustria
| | - Natalie Schindler
- Department of Biomedical Imaging und Image‐guided Therapy, Division of Nuclear MedicineMedical University of ViennaViennaAustria
| | | | - Walter Jäger
- Department of Pharmaceutical SciencesUniversity of ViennaViennaAustria
| | - Lukas Nics
- Department of Biomedical Imaging und Image‐guided Therapy, Division of Nuclear MedicineMedical University of ViennaViennaAustria
| | - Nicolas Tournier
- Laboratoire d'Imagerie Biomédicale Multimodale (BIOMAPS)Université Paris‐Saclay, CEA, CNRS, Inserm, Service Hospitalier Frédéric JoliotOrsayFrance
| | - Marcus Hacker
- Department of Biomedical Imaging und Image‐guided Therapy, Division of Nuclear MedicineMedical University of ViennaViennaAustria
| | - Markus Zeitlinger
- Department of Clinical PharmacologyMedical University of ViennaViennaAustria
| | - Martin Bauer
- Department of Clinical PharmacologyMedical University of ViennaViennaAustria
| | - Oliver Langer
- Department of Clinical PharmacologyMedical University of ViennaViennaAustria
- Department of Biomedical Imaging und Image‐guided Therapy, Division of Nuclear MedicineMedical University of ViennaViennaAustria
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Mairinger S, Jackwerth M, Soukup O, Blaickner M, Decristoforo C, Nics L, Pahnke J, Hacker M, Zeitlinger M, Langer O. Advancing 6-bromo-7-[ 11C]methylpurine to clinical use: improved regioselective radiosynthesis, non-clinical toxicity data and human dosimetry estimates. EJNMMI Radiopharm Chem 2024; 9:34. [PMID: 38683266 PMCID: PMC11058743 DOI: 10.1186/s41181-024-00265-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2024] [Accepted: 04/22/2024] [Indexed: 05/01/2024] Open
Abstract
BACKGROUND 6-Bromo-7-[11C]methylpurine ([11C]BMP) is a radiotracer for positron emission tomography (PET) to measure multidrug resistance-associated protein 1 (MRP1) transport activity in different tissues. Previously reported radiosyntheses of [11C]BMP afforded a mixture of 7- and 9-[11C]methyl regioisomers. To prepare for clinical use, we here report an improved regioselective radiosynthesis of [11C]BMP, the results of a non-clinical toxicity study as well as human dosimetry estimates based on mouse PET data. RESULTS [11C]BMP was synthesised by regioselective N7-methylation of 6-bromo-7H-purine (prepared under good manufacturing practice) with [11C]methyl triflate in presence of 2,2,6,6-tetramethylpiperidine magnesium chloride in a TRACERlab™ FX2 C synthesis module. [11C]BMP was obtained within a total synthesis time of approximately 43 min in a decay-corrected radiochemical yield of 20.5 ± 5.2%, based on starting [11C]methyl iodide, with a radiochemical purity > 99% and a molar activity at end of synthesis of 197 ± 130 GBq/μmol (n = 28). An extended single-dose toxicity study conducted in male and female Wistar rats under good laboratory practice after single intravenous (i.v.) administration of unlabelled BMP (2 mg/kg body weight) revealed no test item related adverse effects. Human dosimetry estimates, based on dynamic whole-body PET data in female C57BL/6J mice, suggested that an i.v. injected activity amount of 400 MBq of [11C]BMP will deliver an effective dose in the typical range of 11C-labelled radiotracers. CONCLUSIONS [11C]BMP can be produced in sufficient amounts and acceptable quality for clinical use. Data from the non-clinical safety evaluation showed no adverse effects and suggested that the administration of [11C]BMP will be safe and well tolerated in humans.
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Affiliation(s)
- Severin Mairinger
- Department of Clinical Pharmacology, Medical University of Vienna, Vienna, Austria.
- Department of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, Vienna, Austria.
| | - Matthias Jackwerth
- Department of Clinical Pharmacology, Medical University of Vienna, Vienna, Austria
| | - Ondřej Soukup
- Biomedical Research Center, University Hospital Hradec Kralove, Hradec Kralove, Czech Republic
| | - Matthias Blaickner
- Department Computer Science, University of Applied Sciences Technikum Wien, Vienna, Austria
| | - Clemens Decristoforo
- Department of Nuclear Medicine, Medical University Innsbruck, Innsbruck, Austria
| | - Lukas Nics
- Department of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, Vienna, Austria
| | - Jens Pahnke
- Translational Neurodegeneration Research and Neuropathology Lab, Department of Clinical Medicine (KlinMed), Medical Faculty, University of Oslo, Oslo, Norway
- Section of Neuropathology Research, Department of Pathology, Clinics for Laboratory Medicine (KLM), Oslo University Hospital, Oslo, Norway
- Institute of Nutritional Medicine (INUM) and Lübeck Institute of Dermatology (LIED), University of Lübeck and University Medical Center Schleswig-Holstein, Lübeck, Germany
- Department of Pharmacology, Faculty of Medicine, University of Latvia, Rīga, Latvia
- School of Neurobiology, Biochemistry and Biophysics, The Georg S. Wise Faculty of Life Sciences, Tel Aviv University, Tel Aviv, Israel
| | - Marcus Hacker
- Department of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, Vienna, Austria
| | - Markus Zeitlinger
- Department of Clinical Pharmacology, Medical University of Vienna, Vienna, Austria
| | - Oliver Langer
- Department of Clinical Pharmacology, Medical University of Vienna, Vienna, Austria
- Department of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, Vienna, Austria
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Reed MB, Handschuh PA, Schmidt C, Murgaš M, Gomola D, Milz C, Klug S, Eggerstorfer B, Aichinger L, Godbersen GM, Nics L, Traub-Weidinger T, Hacker M, Lanzenberger R, Hahn A. Validation of cardiac image-derived input functions for functional PET quantification. Eur J Nucl Med Mol Imaging 2024:10.1007/s00259-024-06716-8. [PMID: 38676734 DOI: 10.1007/s00259-024-06716-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2024] [Accepted: 04/14/2024] [Indexed: 04/29/2024]
Abstract
PURPOSE Functional PET (fPET) is a novel technique for studying dynamic changes in brain metabolism and neurotransmitter signaling. Accurate quantification of fPET relies on measuring the arterial input function (AIF), traditionally achieved through invasive arterial blood sampling. While non-invasive image-derived input functions (IDIF) offer an alternative, they suffer from limited spatial resolution and field of view. To overcome these issues, we developed and validated a scan protocol for brain fPET utilizing cardiac IDIF, aiming to mitigate known IDIF limitations. METHODS Twenty healthy individuals underwent fPET/MR scans using [18F]FDG or 6-[18F]FDOPA, utilizing bed motion shuttling to capture cardiac IDIF and brain task-induced changes. Arterial and venous blood sampling was used to validate IDIFs. Participants performed a monetary incentive delay task. IDIFs from various blood pools and composites estimated from a linear fit over all IDIF blood pools (3VOI) and further supplemented with venous blood samples (3VOIVB) were compared to the AIF. Quantitative task-specific images from both tracers were compared to assess the performance of each input function to the gold standard. RESULTS For both radiotracer cohorts, moderate to high agreement (r: 0.60-0.89) between IDIFs and AIF for both radiotracer cohorts was observed, with further improvement (r: 0.87-0.93) for composite IDIFs (3VOI and 3VOIVB). Both methods showed equivalent quantitative values and high agreement (r: 0.975-0.998) with AIF-derived measurements. CONCLUSION Our proposed protocol enables accurate non-invasive estimation of the input function with full quantification of task-specific changes, addressing the limitations of IDIF for brain imaging by sampling larger blood pools over the thorax. These advancements increase applicability to any PET scanner and clinical research setting by reducing experimental complexity and increasing patient comfort.
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Affiliation(s)
- Murray Bruce Reed
- Department of Psychiatry and Psychotherapy, Medical University of Vienna, Vienna, Austria
- Comprehensive Center for Clinical Neurosciences and Mental Health (C3NMH), Medical University of Vienna, Vienna, Austria
| | - Patricia Anna Handschuh
- Department of Psychiatry and Psychotherapy, Medical University of Vienna, Vienna, Austria
- Comprehensive Center for Clinical Neurosciences and Mental Health (C3NMH), Medical University of Vienna, Vienna, Austria
| | - Clemens Schmidt
- Department of Psychiatry and Psychotherapy, Medical University of Vienna, Vienna, Austria
- Comprehensive Center for Clinical Neurosciences and Mental Health (C3NMH), Medical University of Vienna, Vienna, Austria
| | - Matej Murgaš
- Department of Psychiatry and Psychotherapy, Medical University of Vienna, Vienna, Austria
- Comprehensive Center for Clinical Neurosciences and Mental Health (C3NMH), Medical University of Vienna, Vienna, Austria
| | - David Gomola
- Department of Psychiatry and Psychotherapy, Medical University of Vienna, Vienna, Austria
- Comprehensive Center for Clinical Neurosciences and Mental Health (C3NMH), Medical University of Vienna, Vienna, Austria
| | - Christian Milz
- Department of Psychiatry and Psychotherapy, Medical University of Vienna, Vienna, Austria
- Comprehensive Center for Clinical Neurosciences and Mental Health (C3NMH), Medical University of Vienna, Vienna, Austria
| | - Sebastian Klug
- Department of Psychiatry and Psychotherapy, Medical University of Vienna, Vienna, Austria
- Comprehensive Center for Clinical Neurosciences and Mental Health (C3NMH), Medical University of Vienna, Vienna, Austria
| | - Benjamin Eggerstorfer
- Department of Psychiatry and Psychotherapy, Medical University of Vienna, Vienna, Austria
- Comprehensive Center for Clinical Neurosciences and Mental Health (C3NMH), Medical University of Vienna, Vienna, Austria
| | - Lisa Aichinger
- Department of Psychiatry and Psychotherapy, Medical University of Vienna, Vienna, Austria
- Comprehensive Center for Clinical Neurosciences and Mental Health (C3NMH), Medical University of Vienna, Vienna, Austria
| | - Godber Mathis Godbersen
- Department of Psychiatry and Psychotherapy, Medical University of Vienna, Vienna, Austria
- Comprehensive Center for Clinical Neurosciences and Mental Health (C3NMH), Medical University of Vienna, Vienna, Austria
| | - Lukas Nics
- Department of Biomedical Imaging and Image-guided Therapy, Division of Nuclear Medicine, Medical University of Vienna, Vienna, Austria
| | - Tatjana Traub-Weidinger
- Department of Biomedical Imaging and Image-guided Therapy, Division of Nuclear Medicine, Medical University of Vienna, Vienna, Austria
| | - Marcus Hacker
- Department of Biomedical Imaging and Image-guided Therapy, Division of Nuclear Medicine, Medical University of Vienna, Vienna, Austria
| | - Rupert Lanzenberger
- Department of Psychiatry and Psychotherapy, Medical University of Vienna, Vienna, Austria.
- Comprehensive Center for Clinical Neurosciences and Mental Health (C3NMH), Medical University of Vienna, Vienna, Austria.
| | - Andreas Hahn
- Department of Psychiatry and Psychotherapy, Medical University of Vienna, Vienna, Austria
- Comprehensive Center for Clinical Neurosciences and Mental Health (C3NMH), Medical University of Vienna, Vienna, Austria
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Einspieler H, Kluge K, Haberl D, Schatz K, Nics L, Schmitl S, Geist BK, Spielvogel CP, Grubmüller B, Baltzer PAT, Kramer G, Shariat SF, Hacker M, Rasul S. Assessment of PSMA Expression of Healthy Organs in Different Stages of Prostate Cancer Using [ 68Ga]Ga-PSMA-11-PET Examinations. Cancers (Basel) 2024; 16:1514. [PMID: 38672596 PMCID: PMC11049240 DOI: 10.3390/cancers16081514] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2024] [Revised: 04/12/2024] [Accepted: 04/13/2024] [Indexed: 04/28/2024] Open
Abstract
The efficacy of radioligand therapy (RLT) targeting prostate-specific membrane antigen (PSMA) is currently being investigated for its application in patients with early-stage prostate cancer (PCa). However, little is known about PSMA expression in healthy organs in this cohort. Collectively, 202 [68Ga]Ga-PSMA-11 positron emission tomography (PET) scans from 152 patients were studied. Of these, 102 PET scans were from patients with primary PCa and hormone-sensitive biochemically recurrent PCa and 50 PET scans were from patients with metastatic castration-resistant PCa (mCRPC) before and after three cycles of [177Lu]Lu-PSMA-RLT. PSMA-standardized uptake values (SUV) were measured in multiple organs and PSMA-total tumor volume (PSMA-TTV) was determined in all cohorts. The measured PET parameters of the different cohorts were normalized to the bloodpool and compared using t- or Mann-Whitney U tests. Patients with early-stage PCa had lower PSMA-TTVs (10.39 mL vs. 462.42 mL, p < 0.001) and showed different SUVs in the thyroid, submandibular glands, heart, liver, kidneys, intestine, testes and bone marrow compared to patients with advanced CRPC, with all tests showing p < 0.05. Despite the differences in the PSMA-TTV of patients with mCRPC before and after [177Lu]Lu-PSMA-RLT (462.42 mL vs. 276.29 mL, p = 0.023), no significant organ differences in PET parameters were detected. These suggest different degrees of PSMA-ligand binding among patients with different stages of PCa that could influence radiotoxicity during earlier stages of disease in different organs when PSMA-RLT is administered.
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Affiliation(s)
- Holger Einspieler
- Department of Biomedical Imaging and Image-Guided Therapy, Division of Nuclear Medicine, Medical University of Vienna, 1090 Vienna, Austria; (H.E.); (K.K.); (D.H.); (K.S.); (L.N.); (S.S.); (B.K.G.); (C.P.S.); (M.H.)
| | - Kilian Kluge
- Department of Biomedical Imaging and Image-Guided Therapy, Division of Nuclear Medicine, Medical University of Vienna, 1090 Vienna, Austria; (H.E.); (K.K.); (D.H.); (K.S.); (L.N.); (S.S.); (B.K.G.); (C.P.S.); (M.H.)
| | - David Haberl
- Department of Biomedical Imaging and Image-Guided Therapy, Division of Nuclear Medicine, Medical University of Vienna, 1090 Vienna, Austria; (H.E.); (K.K.); (D.H.); (K.S.); (L.N.); (S.S.); (B.K.G.); (C.P.S.); (M.H.)
| | - Katrin Schatz
- Department of Biomedical Imaging and Image-Guided Therapy, Division of Nuclear Medicine, Medical University of Vienna, 1090 Vienna, Austria; (H.E.); (K.K.); (D.H.); (K.S.); (L.N.); (S.S.); (B.K.G.); (C.P.S.); (M.H.)
| | - Lukas Nics
- Department of Biomedical Imaging and Image-Guided Therapy, Division of Nuclear Medicine, Medical University of Vienna, 1090 Vienna, Austria; (H.E.); (K.K.); (D.H.); (K.S.); (L.N.); (S.S.); (B.K.G.); (C.P.S.); (M.H.)
| | - Stefan Schmitl
- Department of Biomedical Imaging and Image-Guided Therapy, Division of Nuclear Medicine, Medical University of Vienna, 1090 Vienna, Austria; (H.E.); (K.K.); (D.H.); (K.S.); (L.N.); (S.S.); (B.K.G.); (C.P.S.); (M.H.)
| | - Barbara Katharina Geist
- Department of Biomedical Imaging and Image-Guided Therapy, Division of Nuclear Medicine, Medical University of Vienna, 1090 Vienna, Austria; (H.E.); (K.K.); (D.H.); (K.S.); (L.N.); (S.S.); (B.K.G.); (C.P.S.); (M.H.)
| | - Clemens P. Spielvogel
- Department of Biomedical Imaging and Image-Guided Therapy, Division of Nuclear Medicine, Medical University of Vienna, 1090 Vienna, Austria; (H.E.); (K.K.); (D.H.); (K.S.); (L.N.); (S.S.); (B.K.G.); (C.P.S.); (M.H.)
| | - Bernhard Grubmüller
- Department of Urology and Andrology, University Hospital Krems, Karl Landsteiner University of Health Sciences, 3500 Krems, Austria;
| | - Pascal A. T. Baltzer
- Department of Biomedical Imaging and Image-Guided Therapy, Division of General and Pediatric Radiology, Medical University of Vienna, 1090 Vienna, Austria
| | - Gero Kramer
- Department of Urology, Comprehensive Cancer Center, Vienna General Hospital, Medical University of Vienna, 1090 Vienna, Austria; (G.K.); (S.F.S.)
| | - Shahrokh F. Shariat
- Department of Urology, Comprehensive Cancer Center, Vienna General Hospital, Medical University of Vienna, 1090 Vienna, Austria; (G.K.); (S.F.S.)
- Department of Urology, Weill Cornell Medical College, New York, NY 10065, USA
- Department of Urology, Second Faculty of Medicine, Charles University, 15006 Prague, Czech Republic
- Department of Urology, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA
- Division of Urology, Department of Special Surgery, Jordan University Hospital, The University of Jordan, Amman 11942, Jordan
| | - Marcus Hacker
- Department of Biomedical Imaging and Image-Guided Therapy, Division of Nuclear Medicine, Medical University of Vienna, 1090 Vienna, Austria; (H.E.); (K.K.); (D.H.); (K.S.); (L.N.); (S.S.); (B.K.G.); (C.P.S.); (M.H.)
| | - Sazan Rasul
- Department of Biomedical Imaging and Image-Guided Therapy, Division of Nuclear Medicine, Medical University of Vienna, 1090 Vienna, Austria; (H.E.); (K.K.); (D.H.); (K.S.); (L.N.); (S.S.); (B.K.G.); (C.P.S.); (M.H.)
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Hahn A, Reed MB, Vraka C, Godbersen GM, Klug S, Komorowski A, Falb P, Nics L, Traub-Weidinger T, Hacker M, Lanzenberger R. High-temporal resolution functional PET/MRI reveals coupling between human metabolic and hemodynamic brain response. Eur J Nucl Med Mol Imaging 2024; 51:1310-1322. [PMID: 38052927 DOI: 10.1007/s00259-023-06542-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2023] [Accepted: 11/22/2023] [Indexed: 12/07/2023]
Abstract
PURPOSE Positron emission tomography (PET) provides precise molecular information on physiological processes, but its low temporal resolution is a major obstacle. Consequently, we characterized the metabolic response of the human brain to working memory performance using an optimized functional PET (fPET) framework at a temporal resolution of 3 s. METHODS Thirty-five healthy volunteers underwent fPET with [18F]FDG bolus plus constant infusion, 19 of those at a hybrid PET/MRI scanner. During the scan, an n-back working memory paradigm was completed. fPET data were reconstructed to 3 s temporal resolution and processed with a novel sliding window filter to increase signal to noise ratio. BOLD fMRI signals were acquired at 2 s. RESULTS Consistent with simulated kinetic modeling, we observed a constant increase in the [18F]FDG signal during task execution, followed by a rapid return to baseline after stimulation ceased. These task-specific changes were robustly observed in brain regions involved in working memory processing. The simultaneous acquisition of BOLD fMRI revealed that the temporal coupling between hemodynamic and metabolic signals in the primary motor cortex was related to individual behavioral performance during working memory. Furthermore, task-induced BOLD deactivations in the posteromedial default mode network were accompanied by distinct temporal patterns in glucose metabolism, which were dependent on the metabolic demands of the corresponding task-positive networks. CONCLUSIONS In sum, the proposed approach enables the advancement from parallel to truly synchronized investigation of metabolic and hemodynamic responses during cognitive processing. This allows to capture unique information in the temporal domain, which is not accessible to conventional PET imaging.
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Affiliation(s)
- Andreas Hahn
- Department of Psychiatry and Psychotherapy, Medical University of Vienna, Waehringer Guertel 18-20, 1090, Vienna, Austria.
- Comprehensive Center for Clinical Neurosciences and Mental Health (C3NMH), Medical University of Vienna, Vienna, Austria.
| | - Murray B Reed
- Department of Psychiatry and Psychotherapy, Medical University of Vienna, Waehringer Guertel 18-20, 1090, Vienna, Austria
- Comprehensive Center for Clinical Neurosciences and Mental Health (C3NMH), Medical University of Vienna, Vienna, Austria
| | - Chrysoula Vraka
- Department of Biomedical Imaging and Image-Guided Therapy, Division of Nuclear Medicine, Medical University of Vienna, Vienna, Austria
| | - Godber M Godbersen
- Department of Psychiatry and Psychotherapy, Medical University of Vienna, Waehringer Guertel 18-20, 1090, Vienna, Austria
- Comprehensive Center for Clinical Neurosciences and Mental Health (C3NMH), Medical University of Vienna, Vienna, Austria
| | - Sebastian Klug
- Department of Psychiatry and Psychotherapy, Medical University of Vienna, Waehringer Guertel 18-20, 1090, Vienna, Austria
- Comprehensive Center for Clinical Neurosciences and Mental Health (C3NMH), Medical University of Vienna, Vienna, Austria
| | - Arkadiusz Komorowski
- Department of Psychiatry and Psychotherapy, Medical University of Vienna, Waehringer Guertel 18-20, 1090, Vienna, Austria
- Comprehensive Center for Clinical Neurosciences and Mental Health (C3NMH), Medical University of Vienna, Vienna, Austria
| | - Pia Falb
- Department of Psychiatry and Psychotherapy, Medical University of Vienna, Waehringer Guertel 18-20, 1090, Vienna, Austria
- Comprehensive Center for Clinical Neurosciences and Mental Health (C3NMH), Medical University of Vienna, Vienna, Austria
| | - Lukas Nics
- Department of Biomedical Imaging and Image-Guided Therapy, Division of Nuclear Medicine, Medical University of Vienna, Vienna, Austria
| | - Tatjana Traub-Weidinger
- Department of Biomedical Imaging and Image-Guided Therapy, Division of Nuclear Medicine, Medical University of Vienna, Vienna, Austria
| | - Marcus Hacker
- Department of Biomedical Imaging and Image-Guided Therapy, Division of Nuclear Medicine, Medical University of Vienna, Vienna, Austria
| | - Rupert Lanzenberger
- Department of Psychiatry and Psychotherapy, Medical University of Vienna, Waehringer Guertel 18-20, 1090, Vienna, Austria.
- Comprehensive Center for Clinical Neurosciences and Mental Health (C3NMH), Medical University of Vienna, Vienna, Austria.
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Godbersen GM, Falb P, Klug S, Silberbauer LR, Reed MB, Nics L, Hacker M, Lanzenberger R, Hahn A. Non-invasive assessment of stimulation-specific changes in cerebral glucose metabolism with functional PET. Eur J Nucl Med Mol Imaging 2024:10.1007/s00259-024-06675-0. [PMID: 38491215 DOI: 10.1007/s00259-024-06675-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/21/2023] [Accepted: 03/02/2024] [Indexed: 03/18/2024]
Abstract
PURPOSE Functional positron emission tomography (fPET) with [18F]FDG allows quantification of stimulation-induced changes in glucose metabolism independent of neurovascular coupling. However, the gold standard for quantification requires invasive arterial blood sampling, limiting its widespread use. Here, we introduce a novel fPET method without the need for an input function. METHODS We validated the approach using two datasets (DS). For DS1, 52 volunteers (23.2 ± 3.3 years, 24 females) performed Tetris® during a [18F]FDG fPET scan (bolus + constant infusion). For DS2, 18 participants (24.2 ± 4.3 years, 8 females) performed an eyes-open/finger tapping task (constant infusion). Task-specific changes in metabolism were assessed with the general linear model (GLM) and cerebral metabolic rate of glucose (CMRGlu) was quantified with the Patlak plot as reference. We then estimated simplified outcome parameters, including GLM beta values and percent signal change (%SC), and compared them, region and whole-brain-wise. RESULTS We observed higher agreement with the reference for DS1 than DS2. Both DS resulted in strong correlations between regional task-specific beta estimates and CMRGlu (r = 0.763…0.912). %SC of beta values exhibited strong agreement with %SC of CMRGlu (r = 0.909…0.999). Average activation maps showed a high spatial similarity between CMRGlu and beta estimates (Dice = 0.870…0.979) as well as %SC (Dice = 0.932…0.997), respectively. CONCLUSION The non-invasive method reliably estimates task-specific changes in glucose metabolism without blood sampling. This streamlines fPET, albeit with the trade-off of being unable to quantify baseline metabolism. The simplification enhances its applicability in research and clinical settings.
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Affiliation(s)
- Godber Mathis Godbersen
- Department of Psychiatry and Psychotherapy, Medical University of Vienna, Vienna, Austria
- Comprehensive Center for Clinical Neurosciences and Mental Health (C3NMH), Medical University of Vienna, Vienna, Austria
| | - Pia Falb
- Department of Psychiatry and Psychotherapy, Medical University of Vienna, Vienna, Austria
- Comprehensive Center for Clinical Neurosciences and Mental Health (C3NMH), Medical University of Vienna, Vienna, Austria
| | - Sebastian Klug
- Department of Psychiatry and Psychotherapy, Medical University of Vienna, Vienna, Austria
- Comprehensive Center for Clinical Neurosciences and Mental Health (C3NMH), Medical University of Vienna, Vienna, Austria
| | - Leo R Silberbauer
- Department of Psychiatry and Psychotherapy, Medical University of Vienna, Vienna, Austria
- Comprehensive Center for Clinical Neurosciences and Mental Health (C3NMH), Medical University of Vienna, Vienna, Austria
| | - Murray Bruce Reed
- Department of Psychiatry and Psychotherapy, Medical University of Vienna, Vienna, Austria
- Comprehensive Center for Clinical Neurosciences and Mental Health (C3NMH), Medical University of Vienna, Vienna, Austria
| | - Lukas Nics
- Department of Biomedical Imaging and Image-Guided Therapy, Division of Nuclear Medicine, Medical University of Vienna, Vienna, Austria
| | - Marcus Hacker
- Department of Biomedical Imaging and Image-Guided Therapy, Division of Nuclear Medicine, Medical University of Vienna, Vienna, Austria
| | - Rupert Lanzenberger
- Department of Psychiatry and Psychotherapy, Medical University of Vienna, Vienna, Austria.
- Comprehensive Center for Clinical Neurosciences and Mental Health (C3NMH), Medical University of Vienna, Vienna, Austria.
| | - Andreas Hahn
- Department of Psychiatry and Psychotherapy, Medical University of Vienna, Vienna, Austria.
- Comprehensive Center for Clinical Neurosciences and Mental Health (C3NMH), Medical University of Vienna, Vienna, Austria.
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Schmitl S, Raitanen J, Witoszynskyj S, Patronas EM, Nics L, Ozenil M, Weissenböck V, Mindt TL, Hacker M, Wadsak W, Brandt MR, Mitterhauser M. Quality Assurance Investigations and Impurity Characterization during Upscaling of [ 177Lu]Lu-PSMA I&T. Molecules 2023; 28:7696. [PMID: 38067427 PMCID: PMC10707575 DOI: 10.3390/molecules28237696] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/09/2023] [Revised: 11/06/2023] [Accepted: 11/17/2023] [Indexed: 12/18/2023] Open
Abstract
[177Lu]Lu-PSMAI&T is widely used for the radioligand therapy of metastatic castration-resistant prostate cancer (mCRPC). Since this kind of therapy has gained a large momentum in recent years, an upscaled production process yielding multiple patient doses in one batch has been developed. During upscaling, the established production method as well as the HPLC quality control were challenged. A major finding was a correlation between the specific activity and the formation of a pre-peak, presumably caused by radiolysis. Hence, nonradioactive reference standards were irradiated with an X-ray source and the formed pre-peak was subsequently identified as a deiodination product by UPLC-MS. To confirm the occurrence of the same deiodinated side product in the routine batch, a customized deiodinated precursor was radiolabeled and analyzed with the same HPLC setup, revealing an identical retention time to the pre-peak in the formerly synthesized routine batches. Additionally, further cyclization products of [177Lu]Lu-PSMAI&T were identified as major contributors to radiochemical impurities. The comparison of two HPLC methods showed the likelihood of the overestimation of the radiochemical purity during the synthesis of [177Lu]Lu-PSMAI&T. Finally, a prospective cost reduction through an optimization of the production process was shown.
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Affiliation(s)
- Stefan Schmitl
- Department of Biomedical Imaging and Image-Guided Therapy, Division of Nuclear Medicine, Medical University of Vienna, 1090 Vienna, Austria
| | - Julia Raitanen
- Department of Biomedical Imaging and Image-Guided Therapy, Division of Nuclear Medicine, Medical University of Vienna, 1090 Vienna, Austria
- Ludwig Boltzmann Institute Applied Diagnostics, AKH Wien c/o Sekretariat Nuklearmedizin, 1090 Vienna, Austria
- Department of Inorganic Chemistry, Faculty of Chemistry, University of Vienna, 1090 Vienna, Austria
- Vienna Doctoral School of Chemistry (DoSChem), University of Vienna, 1090 Vienna, Austria
| | - Stephan Witoszynskyj
- Department of Biomedical Imaging and Image-Guided Therapy, Division of Nuclear Medicine, Medical University of Vienna, 1090 Vienna, Austria
| | - Eva-Maria Patronas
- Department of Biomedical Imaging and Image-Guided Therapy, Division of Nuclear Medicine, Medical University of Vienna, 1090 Vienna, Austria
| | - Lukas Nics
- Department of Biomedical Imaging and Image-Guided Therapy, Division of Nuclear Medicine, Medical University of Vienna, 1090 Vienna, Austria
| | - Marius Ozenil
- Department of Biomedical Imaging and Image-Guided Therapy, Division of Nuclear Medicine, Medical University of Vienna, 1090 Vienna, Austria
| | - Victoria Weissenböck
- Department of Biomedical Imaging and Image-Guided Therapy, Division of Nuclear Medicine, Medical University of Vienna, 1090 Vienna, Austria
| | - Thomas L. Mindt
- Ludwig Boltzmann Institute Applied Diagnostics, AKH Wien c/o Sekretariat Nuklearmedizin, 1090 Vienna, Austria
- Department of Inorganic Chemistry, Faculty of Chemistry, University of Vienna, 1090 Vienna, Austria
- Joint Applied Medicinal Radiochemistry Facility, University of Vienna & Medical University of Vienna, 1090 Vienna, Austria
| | - Marcus Hacker
- Department of Biomedical Imaging and Image-Guided Therapy, Division of Nuclear Medicine, Medical University of Vienna, 1090 Vienna, Austria
| | - Wolfgang Wadsak
- Department of Biomedical Imaging and Image-Guided Therapy, Division of Nuclear Medicine, Medical University of Vienna, 1090 Vienna, Austria
| | - Marie R. Brandt
- Ludwig Boltzmann Institute Applied Diagnostics, AKH Wien c/o Sekretariat Nuklearmedizin, 1090 Vienna, Austria
- Department of Inorganic Chemistry, Faculty of Chemistry, University of Vienna, 1090 Vienna, Austria
- Joint Applied Medicinal Radiochemistry Facility, University of Vienna & Medical University of Vienna, 1090 Vienna, Austria
| | - Markus Mitterhauser
- Department of Biomedical Imaging and Image-Guided Therapy, Division of Nuclear Medicine, Medical University of Vienna, 1090 Vienna, Austria
- Ludwig Boltzmann Institute Applied Diagnostics, AKH Wien c/o Sekretariat Nuklearmedizin, 1090 Vienna, Austria
- Department of Inorganic Chemistry, Faculty of Chemistry, University of Vienna, 1090 Vienna, Austria
- Joint Applied Medicinal Radiochemistry Facility, University of Vienna & Medical University of Vienna, 1090 Vienna, Austria
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Geist BK, Brath H, Zisser L, Yu J, Fueger B, Nics L, Patronas EM, Kautzky-Willer A, Hacker M, Rasul S. Excretion of glucose analogue with SGLT2 affinity predicts response effectiveness to sodium glucose transporter 2 inhibitors in patients with type 2 diabetes mellitus. Eur J Nucl Med Mol Imaging 2023; 50:3034-3041. [PMID: 37195445 PMCID: PMC10382381 DOI: 10.1007/s00259-023-06256-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2023] [Accepted: 04/25/2023] [Indexed: 05/18/2023]
Abstract
PURPOSE Sodium-glucose cotransporter 2 inhibitor (SGLT2i) regulation, developed as treatment for patients with type 2 diabetes, can be imaged with the glucose analogue alpha-methyl-4-deoxy-4-[18F]fluoro-D-glucopyranoside (Me4FDG), a positron emission tomography (PET) tracer with a high affinity for SGLT1 and SGLT2 proteins. With regard to therapy effectiveness, we aimed to investigate whether clinical parameters or Me4FDG excretion could predict response to SGLT2i in patients with type 2 diabetes. METHODS In a longitudinal, prospective study, 19 patients with type 2 diabetes underwent Me4FDG combined PET and magnetic resonance imaging (PET/MRI) scans at baseline and 2 weeks after initiation of therapy with SGLT2i, accompanied by the collection of blood and urine samples. Me4FDG-excretion was determined from the Me4FDG uptake in the bladder. Long-term response was determined by HbA1c level after 3 months; a strong response to the therapy was defined as a reduction of HbA1c by at least 10% from baseline. RESULTS SGLT2i resulted in significantly increased Me4FDG excretion (4.8 vs. 45.0, P < 0.001) and urine glucose (56 vs. 2806 mg/dl, P < 0.001). Baseline urine glucose and baseline Me4FDG excretion correlated both with long-term decline in HbA1c with r = 0.55 (P < 0.05). However, only Me4FDG excretion was a predictor of a strong response to SGLT2i (P = 0.005, OR 1.9). CONCLUSIONS Using Me4FDG-PET, we demonstrated for the first time renal SGLT2-related excretion before and after short-term SGLT2i treatment. In contrary to other clinical parameters, SGLT2-related excretion before treatment was a robust predictor of long-term HbA1c response in patients with type 2 diabetes, suggesting that therapy effectiveness is only dependent of endogenous SGLT2 processes.
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Affiliation(s)
- Barbara Katharina Geist
- Department of Biomedical Imaging and Image-Guided Therapy, Division of Nuclear Medicine, Medical University of Vienna, Waehringer Guertel 18-20, 1090, Vienna, Austria
| | - Helmut Brath
- Diabetes & Metabolic Outpatient Clinic, Health Centre Vienna South, Vienna, Austria
| | - Lucia Zisser
- Department of Biomedical Imaging and Image-Guided Therapy, Division of Nuclear Medicine, Medical University of Vienna, Waehringer Guertel 18-20, 1090, Vienna, Austria
| | - Josef Yu
- Department of Biomedical Imaging and Image-Guided Therapy, Division of Nuclear Medicine, Medical University of Vienna, Waehringer Guertel 18-20, 1090, Vienna, Austria
| | - Barbara Fueger
- Department of Biomedical Imaging and Image-Guided Therapy, Division of General and Pediatric Radiology, Medical University of Vienna, Vienna, Austria
| | - Lukas Nics
- Department of Biomedical Imaging and Image-Guided Therapy, Division of Nuclear Medicine, Medical University of Vienna, Waehringer Guertel 18-20, 1090, Vienna, Austria
| | - Eva Maria Patronas
- Department of Biomedical Imaging and Image-Guided Therapy, Division of Nuclear Medicine, Medical University of Vienna, Waehringer Guertel 18-20, 1090, Vienna, Austria
| | - Alexandra Kautzky-Willer
- Department of Internal Medicine III, Division of Endocrinology and Metabolism, Gender Medicine Unit, Medical University of Vienna, Vienna, Austria
| | - Marcus Hacker
- Department of Biomedical Imaging and Image-Guided Therapy, Division of Nuclear Medicine, Medical University of Vienna, Waehringer Guertel 18-20, 1090, Vienna, Austria.
| | - Sazan Rasul
- Department of Biomedical Imaging and Image-Guided Therapy, Division of Nuclear Medicine, Medical University of Vienna, Waehringer Guertel 18-20, 1090, Vienna, Austria
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Mayerhoefer ME, Raderer M, Weber M, Lamm W, Kiesewetter B, Hacker M, Nics L, Schmitl S, Leithner D, Wester HJ, Haug A. 68Ga-Pentixafor PET/MRI for Treatment Response Assessment in Mantle Cell Lymphoma: Comparison Between Changes in Lesion CXCR4 Expression on PET and Lesion Size and Diffusivity on MRI. Clin Nucl Med 2023; 48:557-562. [PMID: 37272977 PMCID: PMC10247159 DOI: 10.1097/rlu.0000000000004638] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/06/2023]
Abstract
PURPOSE The aim of this study was to compare CXCR4 imaging with 68Ga-pentixafor PET to MRI for treatment response assessment in patients with mantle cell lymphoma (MCL). PATIENTS AND METHODS Twenty-two posttreatment 68Ga-pentixafor PET/MRI scans of 16 patients (7 women and 9 men; mean age, 69.9 ± 7.9) with a total of 67 target lesions on baseline PET/MRI were analyzed. Rates of complete remission per lesion and per scan, according to MRI (based on lesion size) and 68Ga-pentixafor PET (based on SUV decrease to lower than liver and blood pool uptake), were compared using McNemar tests. The t tests and Pearson correlation coefficients (r) were used to compare rates of change in lesion diameter products (DPs) on MRI, and standardized uptake values (SUVmax, SUVmean) on PET, relative to baseline. RESULTS At interim PET/MRI, 18/32 (56.3%) target lesions met CR criteria on 68Ga-pentixafor PET, and 16/32 (50.0%) lesions met size-based MRI criteria for CR (P = 0.63). At end-of-treatment PET/MRI, 40/57 (70.2%) target lesions met 68Ga-pentixafor PET criteria for CR, and 27/57 (47.4%) lesions met size-based MRI criteria for CR (P = 0.021). Complete remission after treatment was observed more frequently on 68Ga-pentixafor PET (11/22 scans, 54.5%) than on MRI (6/22 scans, 27.3%) (P = 0.031). Rates of change did not differ significantly between lesion DP (-69.20% ± 34.62%) and SUVmax (-64.59% ± 50.78%, P = 0.22), or DP and SUVmean (-60.15 ± 64.58, P = 0.064). Correlations were strong between DP and SUVmax (r = 0.71, P < 0.001) and DP and SUVmean (r = 0.73, P < 0.001). CONCLUSIONS In MCL patients, 68Ga-pentixafor PET may be superior for assessment of complete remission status than anatomic MRI using lesion size criteria, especially at the end of treatment.
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Affiliation(s)
- Marius E. Mayerhoefer
- Dept. of Biomedical Imaging and Image-guided Therapy, Division of General and Pediatric Radiology, Medical University of Vienna, Austria
- Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, USA
- Weill Cornell Medical College, Cornell University, New York, USA
| | - Markus Raderer
- Dept. of Medicine I, Division of Oncology, Medical University of Vienna, Austria
| | - Michael Weber
- Dept. of Biomedical Imaging and Image-guided Therapy, Division of General and Pediatric Radiology, Medical University of Vienna, Austria
| | - Wolfgang Lamm
- Dept. of Medicine I, Division of Oncology, Medical University of Vienna, Austria
| | - Barbara Kiesewetter
- Dept. of Medicine I, Division of Oncology, Medical University of Vienna, Austria
| | - Marcus Hacker
- Dept. of Biomedical Imaging and Image-guided Therapy, Division of Nuclear Medicine, Medical University of Vienna, Austria
| | - Lukas Nics
- Dept. of Biomedical Imaging and Image-guided Therapy, Division of Nuclear Medicine, Medical University of Vienna, Austria
| | - Stefan Schmitl
- Dept. of Biomedical Imaging and Image-guided Therapy, Division of Nuclear Medicine, Medical University of Vienna, Austria
| | - Doris Leithner
- Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, USA
| | - Hans-Juergen Wester
- Pharmaceutical Radiochemistry, Technical University of Munich, Garching, Germany
| | - Alexander Haug
- Dept. of Biomedical Imaging and Image-guided Therapy, Division of Nuclear Medicine, Medical University of Vienna, Austria
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Spies M, Murgaš M, Vraka C, Philippe C, Gryglewski G, Nics L, Balber T, Baldinger-Melich P, Hartmann AM, Rujescu D, Hacker M, Winkler-Pjrek E, Winkler D, Lanzenberger R. Impact of genetic variants within serotonin turnover enzymes on human cerebral monoamine oxidase A in vivo. Transl Psychiatry 2023; 13:208. [PMID: 37322010 PMCID: PMC10272199 DOI: 10.1038/s41398-023-02506-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/21/2022] [Revised: 05/28/2023] [Accepted: 06/01/2023] [Indexed: 06/17/2023] Open
Abstract
Variants within the monoamine oxidase A (MAO-A, MAOA) and tryptophan hydroxylase 2 (TPH2) genes, the main enzymes in cerebral serotonin (5-HT) turnover, affect risk for depression. Depressed cohorts show increased cerebral MAO-A in positron emission tomography (PET) studies. TPH2 polymorphisms might also influence brain MAO-A because availability of substrates (i.e. monoamine concentrations) were shown to affect MAO-A levels. We assessed the effect of MAOA (rs1137070, rs2064070, rs6323) and TPH2 (rs1386494, rs4570625) variants associated with risk for depression and related clinical phenomena on global MAO-A distribution volume (VT) using [11C]harmine PET in 51 participants (21 individuals with seasonal affective disorder (SAD) and 30 healthy individuals (HI)). Statistical analyses comprised general linear models with global MAO-A VT as dependent variable, genotype as independent variable and age, sex, group (individuals with SAD, HI) and season as covariates. rs1386494 genotype significantly affected global MAO-A VT after correction for age, group and sex (p < 0.05, corr.), with CC homozygotes showing 26% higher MAO-A levels. The role of rs1386494 on TPH2 function or expression is poorly understood. Our results suggest rs1386494 might have an effect on either, assuming that TPH2 and MAO-A levels are linked by their common product/substrate, 5-HT. Alternatively, rs1386494 might influence MAO-A levels via another mechanism, such as co-inheritance of other genetic variants. Our results provide insight into how genetic variants within serotonin turnover translate to the cerebral serotonin system. Clinicaltrials.gov Identifier: NCT02582398. EUDAMED Number: CIV-AT-13-01-009583.
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Affiliation(s)
- Marie Spies
- Department of Psychiatry and Psychotherapy, Comprehensive Center for Clinical Neurosciences and Mental Health (C3NMH), Medical University of Vienna, Vienna, Austria
| | - Matej Murgaš
- Department of Psychiatry and Psychotherapy, Comprehensive Center for Clinical Neurosciences and Mental Health (C3NMH), Medical University of Vienna, Vienna, Austria
| | - Chrysoula Vraka
- Department of Biomedical Imaging and Image-guided Therapy, Division of Nuclear Medicine, Medical University of Vienna, Vienna, Austria
| | - Cecile Philippe
- Department of Biomedical Imaging and Image-guided Therapy, Division of Nuclear Medicine, Medical University of Vienna, Vienna, Austria
| | - Gregor Gryglewski
- Department of Psychiatry and Psychotherapy, Comprehensive Center for Clinical Neurosciences and Mental Health (C3NMH), Medical University of Vienna, Vienna, Austria
- Child Study Center, Yale University, New Haven, CT, USA
| | - Lukas Nics
- Department of Biomedical Imaging and Image-guided Therapy, Division of Nuclear Medicine, Medical University of Vienna, Vienna, Austria
| | - Theresa Balber
- Department of Biomedical Imaging and Image-guided Therapy, Division of Nuclear Medicine, Medical University of Vienna, Vienna, Austria
- Ludwig Boltzmann Institute Applied Diagnostics, Vienna, Austria
| | - Pia Baldinger-Melich
- Department of Psychiatry and Psychotherapy, Comprehensive Center for Clinical Neurosciences and Mental Health (C3NMH), Medical University of Vienna, Vienna, Austria
| | - Annette M Hartmann
- Department of Psychiatry and Psychotherapy, Comprehensive Center for Clinical Neurosciences and Mental Health (C3NMH), Medical University of Vienna, Vienna, Austria
| | - Dan Rujescu
- Department of Psychiatry and Psychotherapy, Comprehensive Center for Clinical Neurosciences and Mental Health (C3NMH), Medical University of Vienna, Vienna, Austria
| | - Marcus Hacker
- Department of Biomedical Imaging and Image-guided Therapy, Division of Nuclear Medicine, Medical University of Vienna, Vienna, Austria
| | - Edda Winkler-Pjrek
- Department of Psychiatry and Psychotherapy, Comprehensive Center for Clinical Neurosciences and Mental Health (C3NMH), Medical University of Vienna, Vienna, Austria
| | - Dietmar Winkler
- Department of Psychiatry and Psychotherapy, Comprehensive Center for Clinical Neurosciences and Mental Health (C3NMH), Medical University of Vienna, Vienna, Austria
| | - Rupert Lanzenberger
- Department of Psychiatry and Psychotherapy, Comprehensive Center for Clinical Neurosciences and Mental Health (C3NMH), Medical University of Vienna, Vienna, Austria.
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Scharitzer M, Macher-Beer A, Mang T, Unger LW, Haug A, Reinisch W, Weber M, Nakuz T, Nics L, Hacker M, Bergmann M, Rasul S. Evaluation of Intestinal Fibrosis with 68Ga-FAPI PET/MR Enterography in Crohn Disease. Radiology 2023; 307:e222389. [PMID: 36853176 DOI: 10.1148/radiol.222389] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/01/2023]
Abstract
Background In Crohn disease, differentiation between active intestinal inflammation and fibrosis has implications for treatment, but current imaging modalities are not reliably accurate. Purpose To evaluate the predictive value of gallium 68 (68Ga)-labeled fibroblast activation protein inhibitor (FAPI) PET/MR enterography for the assessment of bowel wall fibrosis in Crohn disease. Materials and Methods In this prospective single-center study, consecutive participants with Crohn disease and obstructive symptoms underwent preoperative 68Ga-FAPI PET/MR enterography from May 2021 to January 2022. Histopathologic analysis of resected bowel segments was performed to grade active inflammation (A0-A2) and fibrosis (F0-F2), which served as the reference standard. The fibroblast activation protein (FAP) expression in bowel wall layers was analyzed immunohistochemically for each layer. 68Ga-FAPI-derived maximum standardized uptake value (SUVmax) was compared with histopathologic results by using mixed-model analysis of variance and Bonferroni-corrected post hoc tests. Results In 14 participants (mean age, 45 years ± 9 [SD]; 10 men), fibrosis was diagnosed histopathologically in 28 of 51 bowel segments (grade F1, n = 14; grade F2, n = 14). Mean SUVmax was higher in segments with fibrosis than without (7.6 vs 2.0; P < .001). In severe fibrosis, mean SUVmax was higher than in mild to moderate fibrosis (8.9 ± 0.9 vs 6.2 ± 0.9; P = .045). Bowel segments with isolated active inflammation had lower mean 68Ga-FAPI uptake than segments with combined active inflammation and fibrosis (SUVmax, 3.2 ± 0.4 vs 8.1 ± 0.1; P = .005). With an SUVmax cutoff value of 3.5, the area under the receiver operating characteristic curve for the prediction of fibrosis was 0.94 (95% CI: 0.9, 1.0), with sensitivity of 26 of 28 segments (93%) and specificity of five of six segments (83%). 68Ga-FAPI-derived SUVmax correlated with FAP expression across all bowel layers (R2 = 0.50, P < .001). Conclusion Higher gallium 68 fibroblast activation protein inhibitor uptake at PET/MR enterography was associated with histopathologically assessed bowel wall fibrosis in participants with Crohn disease, suggesting diagnostic potential for treatment decisions. © RSNA, 2023 Supplemental material is available for this article. See also the editorial by O'Shea in this issue.
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Affiliation(s)
- Martina Scharitzer
- From the Department of Biomedical Imaging and Image-Guided Therapy (M.S., T.M., A.H., M.W., T.N., L.N., M.H., S.R.), Department of Pathology (A.M.B.), Department of General Surgery, Division of Visceral Surgery and Comprehensive Cancer Center (L.W.U., M.B.), and Department of Medicine III, Division of Gastroenterology and Hepatology (W.R.), Medical University of Vienna, Waehringer Guertel 18-20, 1090 Vienna, Austria
| | - Andrea Macher-Beer
- From the Department of Biomedical Imaging and Image-Guided Therapy (M.S., T.M., A.H., M.W., T.N., L.N., M.H., S.R.), Department of Pathology (A.M.B.), Department of General Surgery, Division of Visceral Surgery and Comprehensive Cancer Center (L.W.U., M.B.), and Department of Medicine III, Division of Gastroenterology and Hepatology (W.R.), Medical University of Vienna, Waehringer Guertel 18-20, 1090 Vienna, Austria
| | - Thomas Mang
- From the Department of Biomedical Imaging and Image-Guided Therapy (M.S., T.M., A.H., M.W., T.N., L.N., M.H., S.R.), Department of Pathology (A.M.B.), Department of General Surgery, Division of Visceral Surgery and Comprehensive Cancer Center (L.W.U., M.B.), and Department of Medicine III, Division of Gastroenterology and Hepatology (W.R.), Medical University of Vienna, Waehringer Guertel 18-20, 1090 Vienna, Austria
| | - Lukas W Unger
- From the Department of Biomedical Imaging and Image-Guided Therapy (M.S., T.M., A.H., M.W., T.N., L.N., M.H., S.R.), Department of Pathology (A.M.B.), Department of General Surgery, Division of Visceral Surgery and Comprehensive Cancer Center (L.W.U., M.B.), and Department of Medicine III, Division of Gastroenterology and Hepatology (W.R.), Medical University of Vienna, Waehringer Guertel 18-20, 1090 Vienna, Austria
| | - Alexander Haug
- From the Department of Biomedical Imaging and Image-Guided Therapy (M.S., T.M., A.H., M.W., T.N., L.N., M.H., S.R.), Department of Pathology (A.M.B.), Department of General Surgery, Division of Visceral Surgery and Comprehensive Cancer Center (L.W.U., M.B.), and Department of Medicine III, Division of Gastroenterology and Hepatology (W.R.), Medical University of Vienna, Waehringer Guertel 18-20, 1090 Vienna, Austria
| | - Walter Reinisch
- From the Department of Biomedical Imaging and Image-Guided Therapy (M.S., T.M., A.H., M.W., T.N., L.N., M.H., S.R.), Department of Pathology (A.M.B.), Department of General Surgery, Division of Visceral Surgery and Comprehensive Cancer Center (L.W.U., M.B.), and Department of Medicine III, Division of Gastroenterology and Hepatology (W.R.), Medical University of Vienna, Waehringer Guertel 18-20, 1090 Vienna, Austria
| | - Michael Weber
- From the Department of Biomedical Imaging and Image-Guided Therapy (M.S., T.M., A.H., M.W., T.N., L.N., M.H., S.R.), Department of Pathology (A.M.B.), Department of General Surgery, Division of Visceral Surgery and Comprehensive Cancer Center (L.W.U., M.B.), and Department of Medicine III, Division of Gastroenterology and Hepatology (W.R.), Medical University of Vienna, Waehringer Guertel 18-20, 1090 Vienna, Austria
| | - Thomas Nakuz
- From the Department of Biomedical Imaging and Image-Guided Therapy (M.S., T.M., A.H., M.W., T.N., L.N., M.H., S.R.), Department of Pathology (A.M.B.), Department of General Surgery, Division of Visceral Surgery and Comprehensive Cancer Center (L.W.U., M.B.), and Department of Medicine III, Division of Gastroenterology and Hepatology (W.R.), Medical University of Vienna, Waehringer Guertel 18-20, 1090 Vienna, Austria
| | - Lukas Nics
- From the Department of Biomedical Imaging and Image-Guided Therapy (M.S., T.M., A.H., M.W., T.N., L.N., M.H., S.R.), Department of Pathology (A.M.B.), Department of General Surgery, Division of Visceral Surgery and Comprehensive Cancer Center (L.W.U., M.B.), and Department of Medicine III, Division of Gastroenterology and Hepatology (W.R.), Medical University of Vienna, Waehringer Guertel 18-20, 1090 Vienna, Austria
| | - Marcus Hacker
- From the Department of Biomedical Imaging and Image-Guided Therapy (M.S., T.M., A.H., M.W., T.N., L.N., M.H., S.R.), Department of Pathology (A.M.B.), Department of General Surgery, Division of Visceral Surgery and Comprehensive Cancer Center (L.W.U., M.B.), and Department of Medicine III, Division of Gastroenterology and Hepatology (W.R.), Medical University of Vienna, Waehringer Guertel 18-20, 1090 Vienna, Austria
| | - Michael Bergmann
- From the Department of Biomedical Imaging and Image-Guided Therapy (M.S., T.M., A.H., M.W., T.N., L.N., M.H., S.R.), Department of Pathology (A.M.B.), Department of General Surgery, Division of Visceral Surgery and Comprehensive Cancer Center (L.W.U., M.B.), and Department of Medicine III, Division of Gastroenterology and Hepatology (W.R.), Medical University of Vienna, Waehringer Guertel 18-20, 1090 Vienna, Austria
| | - Sazan Rasul
- From the Department of Biomedical Imaging and Image-Guided Therapy (M.S., T.M., A.H., M.W., T.N., L.N., M.H., S.R.), Department of Pathology (A.M.B.), Department of General Surgery, Division of Visceral Surgery and Comprehensive Cancer Center (L.W.U., M.B.), and Department of Medicine III, Division of Gastroenterology and Hepatology (W.R.), Medical University of Vienna, Waehringer Guertel 18-20, 1090 Vienna, Austria
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12
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Reed MB, Godbersen GM, Vraka C, Rausch I, Ponce de León M, Popper V, Geist B, Nics L, Komorowski A, Karanikas G, Beyer T, Traub-Weidinger T, Hahn A, Langsteger W, Hacker M, Lanzenberger R. Comparison of cardiac image-derived input functions for quantitative whole body [ 18F]FDG imaging with arterial blood sampling. Front Physiol 2023; 14:1074052. [PMID: 37035658 PMCID: PMC10073457 DOI: 10.3389/fphys.2023.1074052] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/24/2022] [Accepted: 03/06/2023] [Indexed: 04/11/2023] Open
Abstract
Introduction: Dynamic positron emission tomography (PET) and the application of kinetic models can provide important quantitative information based on its temporal information. This however requires arterial blood sampling, which can be challenging to acquire. Nowadays, state-of-the-art PET/CT systems offer fully automated, whole-body (WB) kinetic modelling protocols using image-derived input functions (IDIF) to replace arterial blood sampling. Here, we compared the validity of an automatic WB kinetic model protocol to the reference standard arterial input function (AIF) for both clinical and research settings. Methods: Sixteen healthy participants underwent dynamic WB [18F]FDG scans using a continuous bed motion PET/CT system with simultaneous arterial blood sampling. Multiple processing pipelines that included automatic and manually generated IDIFs derived from the aorta and left ventricle, with and without motion correction were compared to the AIF. Subsequently generated quantitative images of glucose metabolism were compared to evaluate performance of the different input functions. Results: We observed moderate to high correlations between IDIFs and the AIF regarding area under the curve (r = 0.49-0.89) as well as for the cerebral metabolic rate of glucose (CMRGlu) (r = 0.68-0.95). Manual placing of IDIFs and motion correction further improved their similarity to the AIF. Discussion: In general, the automatic vendor protocol is a feasible approach for the quantification of CMRGlu for both, clinical and research settings where expertise or time is not available. However, we advise on a rigorous inspection of the placement of the volume of interest, the resulting IDIF, and the quantitative values to ensure valid interpretations. In protocols requiring longer scan times or where cohorts are prone to involuntary movement, manual IDIF definition with additional motion correction is recommended, as this has greater accuracy and reliability.
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Affiliation(s)
- Murray Bruce Reed
- Department of Psychiatry and Psychotherapy, Medical University of Vienna, Vienna, Austria
| | | | - Chrysoula Vraka
- Department of Biomedical Imaging and Image-guided Therapy, Division of Nuclear Medicine, Medical University of Vienna, Vienna, Austria
| | - Ivo Rausch
- QIMP Team, Center for Medical Physics and Biomedical Engineering, Medical University of Vienna, Vienna, Austria
| | | | - Valentin Popper
- Department of Psychiatry and Psychotherapy, Medical University of Vienna, Vienna, Austria
| | - Barbara Geist
- Department of Biomedical Imaging and Image-guided Therapy, Division of Nuclear Medicine, Medical University of Vienna, Vienna, Austria
| | - Lukas Nics
- Department of Biomedical Imaging and Image-guided Therapy, Division of Nuclear Medicine, Medical University of Vienna, Vienna, Austria
| | - Arkadiusz Komorowski
- Department of Psychiatry and Psychotherapy, Medical University of Vienna, Vienna, Austria
| | - Georgios Karanikas
- Department of Biomedical Imaging and Image-guided Therapy, Division of Nuclear Medicine, Medical University of Vienna, Vienna, Austria
| | - Thomas Beyer
- QIMP Team, Center for Medical Physics and Biomedical Engineering, Medical University of Vienna, Vienna, Austria
| | - Tatjana Traub-Weidinger
- Department of Biomedical Imaging and Image-guided Therapy, Division of Nuclear Medicine, Medical University of Vienna, Vienna, Austria
| | - Andreas Hahn
- Department of Psychiatry and Psychotherapy, Medical University of Vienna, Vienna, Austria
| | - Werner Langsteger
- Department of Biomedical Imaging and Image-guided Therapy, Division of Nuclear Medicine, Medical University of Vienna, Vienna, Austria
| | - Marcus Hacker
- Department of Biomedical Imaging and Image-guided Therapy, Division of Nuclear Medicine, Medical University of Vienna, Vienna, Austria
| | - Rupert Lanzenberger
- Department of Psychiatry and Psychotherapy, Medical University of Vienna, Vienna, Austria
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13
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Reed MB, Ponce de León M, Vraka C, Rausch I, Godbersen GM, Popper V, Geist BK, Komorowski A, Nics L, Schmidt C, Klug S, Langsteger W, Karanikas G, Traub-Weidinger T, Hahn A, Lanzenberger R, Hacker M. Whole-body metabolic connectivity framework with functional PET. Neuroimage 2023; 271:120030. [PMID: 36925087 DOI: 10.1016/j.neuroimage.2023.120030] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/16/2022] [Revised: 02/22/2023] [Accepted: 03/13/2023] [Indexed: 03/15/2023] Open
Abstract
The nervous and circulatory system interconnects the various organs of the human body, building hierarchically organized subsystems, enabling fine-tuned, metabolically expensive brain-body and inter-organ crosstalk to appropriately adapt to internal and external demands. A deviation or failure in the function of a single organ or subsystem could trigger unforeseen biases or dysfunctions of the entire network, leading to maladaptive physiological or psychological responses. Therefore, quantifying these networks in healthy individuals and patients may help further our understanding of complex disorders involving body-brain crosstalk. Here we present a generalized framework to automatically estimate metabolic inter-organ connectivity utilizing whole-body functional positron emission tomography (fPET). The developed framework was applied to 16 healthy subjects (mean age ± SD, 25 ± 6 years; 13 female) that underwent one dynamic 18F-FDG PET/CT scan. Multiple procedures of organ segmentation (manual, automatic, circular volumes) and connectivity estimation (polynomial fitting, spatiotemporal filtering, covariance matrices) were compared to provide an optimized thorough overview of the workflow. The proposed approach was able to estimate the metabolic connectivity patterns within brain regions and organs as well as their interactions. Automated organ delineation, but not simplified circular volumes, showed high agreement with manual delineation. Polynomial fitting yielded similar connectivity as spatiotemporal filtering at the individual subject level. Furthermore, connectivity measures and group-level covariance matrices did not match. The strongest brain-body connectivity was observed for the liver and kidneys. The proposed framework offers novel opportunities towards analyzing metabolic function from a systemic, hierarchical perspective in a multitude of physiological pathological states.
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Affiliation(s)
- Murray Bruce Reed
- Department of Psychiatry and Psychotherapy, Comprehensive Center for Clinical Neurosciences and Mental Health (C3NMH), Medical University of Vienna, Austria
| | - Magdalena Ponce de León
- Department of Psychiatry and Psychotherapy, Comprehensive Center for Clinical Neurosciences and Mental Health (C3NMH), Medical University of Vienna, Austria
| | - Chrysoula Vraka
- Division of Nuclear Medicine, Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Austria
| | - Ivo Rausch
- QIMP Team, Center for Medical Physics and Biomedical Engineering, Medical University of Vienna, Vienna, Austria
| | - Godber Mathis Godbersen
- Department of Psychiatry and Psychotherapy, Comprehensive Center for Clinical Neurosciences and Mental Health (C3NMH), Medical University of Vienna, Austria
| | - Valentin Popper
- Department of Psychiatry and Psychotherapy, Comprehensive Center for Clinical Neurosciences and Mental Health (C3NMH), Medical University of Vienna, Austria
| | - Barbara Katharina Geist
- Division of Nuclear Medicine, Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Austria
| | - Arkadiusz Komorowski
- Department of Psychiatry and Psychotherapy, Comprehensive Center for Clinical Neurosciences and Mental Health (C3NMH), Medical University of Vienna, Austria
| | - Lukas Nics
- Division of Nuclear Medicine, Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Austria
| | - Clemens Schmidt
- Department of Psychiatry and Psychotherapy, Comprehensive Center for Clinical Neurosciences and Mental Health (C3NMH), Medical University of Vienna, Austria
| | - Sebastian Klug
- Department of Psychiatry and Psychotherapy, Comprehensive Center for Clinical Neurosciences and Mental Health (C3NMH), Medical University of Vienna, Austria
| | - Werner Langsteger
- Division of Nuclear Medicine, Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Austria
| | - Georgios Karanikas
- Division of Nuclear Medicine, Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Austria
| | - Tatjana Traub-Weidinger
- Division of Nuclear Medicine, Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Austria
| | - Andreas Hahn
- Department of Psychiatry and Psychotherapy, Comprehensive Center for Clinical Neurosciences and Mental Health (C3NMH), Medical University of Vienna, Austria
| | - Rupert Lanzenberger
- Department of Psychiatry and Psychotherapy, Comprehensive Center for Clinical Neurosciences and Mental Health (C3NMH), Medical University of Vienna, Austria.
| | - Marcus Hacker
- Division of Nuclear Medicine, Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Austria
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14
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Handschuh PA, Murgaš M, Vraka C, Nics L, Hartmann AM, Winkler-Pjrek E, Baldinger-Melich P, Wadsak W, Winkler D, Hacker M, Rujescu D, Domschke K, Lanzenberger R, Spies M. Effect of MAOA DNA Methylation on Human in Vivo Protein Expression Measured by [11C]harmine Positron Emission Tomography. Int J Neuropsychopharmacol 2023; 26:116-124. [PMID: 36573644 PMCID: PMC9926052 DOI: 10.1093/ijnp/pyac085] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/12/2022] [Accepted: 12/26/2022] [Indexed: 12/28/2022] Open
Abstract
BACKGROUND Epigenetic modifications like DNA methylation are understood as an intermediary between environmental factors and neurobiology. Cerebral monoamine oxidase A (MAO-A) levels are altered in depression, as are DNA methylation levels within the MAOA gene, particularly in the promoter/exon I/intron I region. An effect of MAOA methylation on peripheral protein expression was shown, but the extent to which methylation affects brain MAO-A levels is not fully understood. METHODS Here, the influence of MAOA promoter/exon I/intron I region DNA methylation on global MAO-A distribution volume (VT), an index of MAO-A density, was assessed via [11C]harmine positron emission tomography in 22 patients (14 females) suffering from seasonal affective disorder and 30 healthy controls (17 females). RESULTS No significant influence of MAOA DNA methylation on global MAO-A VT was found, despite correction for health status, sex, season, and MAOA variable number of tandem repeat genotype. However, season affected average methylation in women, with higher levels in spring and summer (Puncorr = .03). We thus did not find evidence for an effect of MAOA DNA methylation on brain MAO-A VT. CONCLUSIONS In contrast to a previous study demonstrating an effect of methylation of a MAOA promoter region located further 5' on brain MAO-A, MAOA methylation of the region assessed here appears to affect brain protein levels to a limited extent at most. The observed effect of season on methylation levels is in accordance with extensive evidence for seasonal effects within the serotonergic system. CLINICALTRIALS.GOV IDENTIFIER NCT02582398 (https://clinicaltrials.gov/ct2/show/NCT02582398).
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Affiliation(s)
- Patricia A Handschuh
- Department of Psychiatry and Psychotherapy, Medical University of Vienna, Austria
| | - Matej Murgaš
- Department of Psychiatry and Psychotherapy, Medical University of Vienna, Austria
| | - Chrysoula Vraka
- Department of Biomedical Imaging and Image-guided Therapy, Division of Nuclear Medicine, Medical University of Vienna, Austria
| | - Lukas Nics
- Department of Biomedical Imaging and Image-guided Therapy, Division of Nuclear Medicine, Medical University of Vienna, Austria
| | - Annette M Hartmann
- Department of Psychiatry and Psychotherapy, Medical University of Vienna, Austria
| | - Edda Winkler-Pjrek
- Department of Psychiatry and Psychotherapy, Medical University of Vienna, Austria
| | - Pia Baldinger-Melich
- Department of Psychiatry and Psychotherapy, Medical University of Vienna, Austria
| | - Wolfgang Wadsak
- Department of Biomedical Imaging and Image-guided Therapy, Division of Nuclear Medicine, Medical University of Vienna, Austria
- Center for Biomarker Research in Medicine (CBmed), Graz, Austria
| | - Dietmar Winkler
- Department of Psychiatry and Psychotherapy, Medical University of Vienna, Austria
| | - Marcus Hacker
- Department of Biomedical Imaging and Image-guided Therapy, Division of Nuclear Medicine, Medical University of Vienna, Austria
| | - Dan Rujescu
- Department of Psychiatry and Psychotherapy, Medical University of Vienna, Austria
| | - Katharina Domschke
- Department of Psychiatry and Psychotherapy, Medical Center – University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany
- Centre for Basics in Neuromodulation, Faculty of Medicine, University of Freiburg, Germany
| | - Rupert Lanzenberger
- Department of Psychiatry and Psychotherapy, Medical University of Vienna, Austria
| | - Marie Spies
- Department of Psychiatry and Psychotherapy, Medical University of Vienna, Austria
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15
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Murgaš M, Unterholzner J, Stöhrmann P, Philippe C, Godbersen GM, Nics L, Reed MB, Vraka C, Vanicek T, Wadsak W, Kranz GS, Hahn A, Mitterhauser M, Hacker M, Kasper S, Lanzenberger R, Baldinger-Melich P. Effects of bilateral sequential theta-burst stimulation on 5-HT 1A receptors in the dorsolateral prefrontal cortex in treatment-resistant depression: a proof-of-concept trial. Transl Psychiatry 2023; 13:33. [PMID: 36725835 PMCID: PMC9892572 DOI: 10.1038/s41398-023-02319-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/28/2022] [Revised: 01/09/2023] [Accepted: 01/12/2023] [Indexed: 02/03/2023] Open
Abstract
Theta-burst stimulation (TBS) represents a brain stimulation technique effective for treatment-resistant depression (TRD) as underlined by meta-analyses. While the methodology undergoes constant refinement, bilateral stimulation of the dorsolateral prefrontal cortex (DLPFC) appears promising to restore left DLPFC hypoactivity and right hyperactivity found in depression. The post-synaptic inhibitory serotonin-1A (5-HT1A) receptor, also occurring in the DLPFC, might be involved in this mechanism of action. To test this hypothesis, we performed PET-imaging using the tracer [carbonyl-11C]WAY-100635 including arterial blood sampling before and after a three-week treatment with TBS in 11 TRD patients compared to sham stimulation (n = 8 and n = 3, respectively). Treatment groups were randomly assigned, and TBS protocol consisted of excitatory intermittent TBS to the left and inhibitory continuous TBS to the right DLPFC. A linear mixed model including group, hemisphere, time, and Hamilton Rating Scale for Depression (HAMD) score revealed a 3-way interaction effect of group, time, and HAMD on specific distribution volume (VS) of 5-HT1A receptor. While post-hoc comparisons showed no significant changes of 5-HT1A receptor VS in either group, higher 5-HT1A receptor VS after treatment correlated with greater difference in HAMD (r = -0.62). The results of this proof-of-concept trial hint towards potential effects of TBS on the distribution of the 5-HT1A receptor. Due to the small sample size, all results must, however, be regarded with caution.
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Affiliation(s)
- Matej Murgaš
- Department of Psychiatry and Psychotherapy, Clinical Division of General Psychiatry, Medical University of Vienna, Vienna, Austria
- Comprehensive Center for Clinical Neurosciences and Mental Health, Medical University of Vienna, Vienna, Austria
| | - Jakob Unterholzner
- Department of Psychiatry and Psychotherapy, Clinical Division of General Psychiatry, Medical University of Vienna, Vienna, Austria
- Comprehensive Center for Clinical Neurosciences and Mental Health, Medical University of Vienna, Vienna, Austria
| | - Peter Stöhrmann
- Department of Psychiatry and Psychotherapy, Clinical Division of General Psychiatry, Medical University of Vienna, Vienna, Austria
- Comprehensive Center for Clinical Neurosciences and Mental Health, Medical University of Vienna, Vienna, Austria
| | - Cécile Philippe
- Department of Biomedical Imaging and Image-guided Therapy, Division of Nuclear Medicine, Medical University of Vienna, Vienna, Austria
| | - Godber M Godbersen
- Department of Psychiatry and Psychotherapy, Clinical Division of General Psychiatry, Medical University of Vienna, Vienna, Austria
- Comprehensive Center for Clinical Neurosciences and Mental Health, Medical University of Vienna, Vienna, Austria
| | - Lukas Nics
- Department of Biomedical Imaging and Image-guided Therapy, Division of Nuclear Medicine, Medical University of Vienna, Vienna, Austria
| | - Murray B Reed
- Department of Psychiatry and Psychotherapy, Clinical Division of General Psychiatry, Medical University of Vienna, Vienna, Austria
- Comprehensive Center for Clinical Neurosciences and Mental Health, Medical University of Vienna, Vienna, Austria
| | - Chrysoula Vraka
- Department of Biomedical Imaging and Image-guided Therapy, Division of Nuclear Medicine, Medical University of Vienna, Vienna, Austria
| | - Thomas Vanicek
- Department of Psychiatry and Psychotherapy, Clinical Division of General Psychiatry, Medical University of Vienna, Vienna, Austria
- Comprehensive Center for Clinical Neurosciences and Mental Health, Medical University of Vienna, Vienna, Austria
| | - Wolfgang Wadsak
- Department of Biomedical Imaging and Image-guided Therapy, Division of Nuclear Medicine, Medical University of Vienna, Vienna, Austria
| | - Georg S Kranz
- Department of Psychiatry and Psychotherapy, Clinical Division of General Psychiatry, Medical University of Vienna, Vienna, Austria
- Department of Rehabilitation Sciences, The Hong Kong Polytechnic University, Hung Hom, Hong Kong
| | - Andreas Hahn
- Department of Psychiatry and Psychotherapy, Clinical Division of General Psychiatry, Medical University of Vienna, Vienna, Austria
- Comprehensive Center for Clinical Neurosciences and Mental Health, Medical University of Vienna, Vienna, Austria
| | - Markus Mitterhauser
- Department of Biomedical Imaging and Image-guided Therapy, Division of Nuclear Medicine, Medical University of Vienna, Vienna, Austria
- Ludwig Boltzmann Institute Applied Diagnostics, Vienna, Austria
- Department of Chemistry, Institute of Inorganic Chemistry, University of Vienna, Vienna, Austria
| | - Marcus Hacker
- Department of Biomedical Imaging and Image-guided Therapy, Division of Nuclear Medicine, Medical University of Vienna, Vienna, Austria
| | - Siegfried Kasper
- Department of Psychiatry and Psychotherapy, Clinical Division of General Psychiatry, Medical University of Vienna, Vienna, Austria.
| | - Rupert Lanzenberger
- Department of Psychiatry and Psychotherapy, Clinical Division of General Psychiatry, Medical University of Vienna, Vienna, Austria.
- Comprehensive Center for Clinical Neurosciences and Mental Health, Medical University of Vienna, Vienna, Austria.
| | - Pia Baldinger-Melich
- Department of Psychiatry and Psychotherapy, Clinical Division of General Psychiatry, Medical University of Vienna, Vienna, Austria
- Comprehensive Center for Clinical Neurosciences and Mental Health, Medical University of Vienna, Vienna, Austria
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16
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Benčurová K, Friske J, Anderla M, Mayrhofer M, Wanek T, Nics L, Egger G, Helbich TH, Hacker M, Haug A, Mitterhauser M, Balber T. CAM-Xenograft Model Provides Preclinical Evidence for the Applicability of [ 68Ga]Ga-Pentixafor in CRC Imaging. Cancers (Basel) 2022; 14:cancers14225549. [PMID: 36428644 PMCID: PMC9688097 DOI: 10.3390/cancers14225549] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2022] [Revised: 10/24/2022] [Accepted: 11/02/2022] [Indexed: 11/16/2022] Open
Abstract
Colorectal cancer is one of the leading causes of cancer-related deaths worldwide. Increased expression of CXCR4 has been associated with liver metastasis, disease progression, and shortened survival. Using in vitro cell binding studies and the in ovo model, we aimed to investigate the potential of [68Ga]Ga-Pentixafor, a radiotracer specifically targeting human CXCR4, for CRC imaging. Specific membrane binding and internalisation of [68Ga]Ga-Pentixafor was shown for HT29 cells, but not for HCT116 cells. Accordingly, [68Ga]Ga-Pentixafor accumulated specifically in CAM-xenografts derived from HT29 cells, but not in HCT116 xenografts, as determined by µPET/MRI. The CAM-grown xenografts were histologically characterised, demonstrating vascularisation of the graft, preserved expression of human CXCR4, and viability of the tumour cells within the grafts. In vivo viability was further confirmed by µPET/MRI measurements using 2-[18F]FDG as a surrogate for glucose metabolism. [68Ga]Ga-Pentixafor µPET/MRI scans showed distinct radiotracer accumulation in the chick embryonal heart, liver, and kidneys, whereas 2-[18F]FDG uptake was predominantly found in the kidneys and joints of the chick embryos. Our findings suggest that [68Ga]Ga-Pentixafor is an interesting novel radiotracer for CRC imaging that is worth further investigation. Moreover, this study further supports the suitability of the CAM-xenograft model for the initial preclinical evaluation of targeted radiopharmaceuticals.
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Affiliation(s)
- Katarína Benčurová
- Ludwig Boltzmann Institute Applied Diagnostics, 1090 Vienna, Austria
- Division of Nuclear Medicine, Department of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, 1090 Vienna, Austria
| | - Joachim Friske
- Division of Molecular and Structural Preclinical Imaging, Department of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, 1090 Vienna, Austria
| | - Maximilian Anderla
- Ludwig Boltzmann Institute Applied Diagnostics, 1090 Vienna, Austria
- Division of Nuclear Medicine, Department of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, 1090 Vienna, Austria
- Department for Inorganic Chemistry, Faculty of Chemistry, University of Vienna, 1090 Vienna, Austria
| | - Manuela Mayrhofer
- School of Medical Engineering and Applied Social Sciences, University of Applied Sciences Upper Austria, 4020 Linz, Austria
- QIMP Team, Center for Medical Physics and Biomedical Engineering, Medical University of Vienna, 1090 Vienna, Austria
| | - Thomas Wanek
- Division of Molecular and Structural Preclinical Imaging, Department of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, 1090 Vienna, Austria
| | - Lukas Nics
- Division of Nuclear Medicine, Department of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, 1090 Vienna, Austria
| | - Gerda Egger
- Ludwig Boltzmann Institute Applied Diagnostics, 1090 Vienna, Austria
- Department of Pathology, Medical University of Vienna, 1090 Vienna, Austria
- Comprehensive Cancer Center, Medical University of Vienna, 1090 Vienna, Austria
| | - Thomas H. Helbich
- Division of Molecular and Structural Preclinical Imaging, Department of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, 1090 Vienna, Austria
| | - Marcus Hacker
- Division of Nuclear Medicine, Department of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, 1090 Vienna, Austria
| | - Alexander Haug
- Division of Nuclear Medicine, Department of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, 1090 Vienna, Austria
- Christian Doppler Laboratory Applied Metabolomics, 1090 Vienna, Austria
| | - Markus Mitterhauser
- Ludwig Boltzmann Institute Applied Diagnostics, 1090 Vienna, Austria
- Division of Nuclear Medicine, Department of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, 1090 Vienna, Austria
- Department for Inorganic Chemistry, Faculty of Chemistry, University of Vienna, 1090 Vienna, Austria
- Correspondence:
| | - Theresa Balber
- Ludwig Boltzmann Institute Applied Diagnostics, 1090 Vienna, Austria
- Division of Nuclear Medicine, Department of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, 1090 Vienna, Austria
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17
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Bamminger K, Raitanen J, Karanikas G, Rasul S, Nics L, Mitterhauser M, Wadsak W, Hacker M, Pichler V, Vraka C. Rapid, high-yield enzymatic synthesis of n.c.a. 6-[ 18F]fluorodopamine (6-[ 18F]FDA) for in vivo application. Nucl Med Biol 2022; 114-115:189-197. [PMID: 35820986 DOI: 10.1016/j.nucmedbio.2022.07.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/25/2021] [Revised: 04/08/2022] [Accepted: 07/01/2022] [Indexed: 12/27/2022]
Affiliation(s)
- Karsten Bamminger
- Department of Biomedical Imaging and Image-guided Therapy, Division of Nuclear Medicine, Medical University of Vienna, Vienna, Austria; CBmed GmbH - Center for Biomarker Research in Medicine, Graz, Austria
| | - Julia Raitanen
- Department of Biomedical Imaging and Image-guided Therapy, Division of Nuclear Medicine, Medical University of Vienna, Vienna, Austria; Ludwig Boltzmann Institute Applied Diagnostics, Vienna, Austria; University of Vienna, Vienna Doctoral School in Chemistry (DoSChem), Währinger Str. 42, 1090 Vienna, Austria
| | - Georgios Karanikas
- Department of Biomedical Imaging and Image-guided Therapy, Division of Nuclear Medicine, Medical University of Vienna, Vienna, Austria
| | - Sazan Rasul
- Department of Biomedical Imaging and Image-guided Therapy, Division of Nuclear Medicine, Medical University of Vienna, Vienna, Austria
| | - Lukas Nics
- Department of Biomedical Imaging and Image-guided Therapy, Division of Nuclear Medicine, Medical University of Vienna, Vienna, Austria
| | - Markus Mitterhauser
- Department of Biomedical Imaging and Image-guided Therapy, Division of Nuclear Medicine, Medical University of Vienna, Vienna, Austria; Ludwig Boltzmann Institute Applied Diagnostics, Vienna, Austria
| | - Wolfgang Wadsak
- Department of Biomedical Imaging and Image-guided Therapy, Division of Nuclear Medicine, Medical University of Vienna, Vienna, Austria; CBmed GmbH - Center for Biomarker Research in Medicine, Graz, Austria
| | - Marcus Hacker
- Department of Biomedical Imaging and Image-guided Therapy, Division of Nuclear Medicine, Medical University of Vienna, Vienna, Austria
| | - Verena Pichler
- Department of Pharmaceutical Sciences, Division of Pharmaceutical Chemistry, University of Vienna, Vienna, Austria.
| | - Chrysoula Vraka
- Department of Biomedical Imaging and Image-guided Therapy, Division of Nuclear Medicine, Medical University of Vienna, Vienna, Austria
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18
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Rischka L, Murgaš M, Pichler V, Vraka C, Rausch I, Winkler D, Nics L, Rasul S, Silberbauer LR, Reed MB, Godbersen GM, Unterholzner J, Handschuh P, Gryglewski G, Mindt T, Mitterhauser M, Hahn A, Ametamey SM, Wadsak W, Lanzenberger R, Hacker M. Biodistribution and dosimetry of the GluN2B-specific NMDA receptor PET radioligand (R)-[ 11C]Me-NB1. EJNMMI Res 2022; 12:53. [PMID: 36018389 PMCID: PMC9418393 DOI: 10.1186/s13550-022-00925-8] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2022] [Accepted: 08/17/2022] [Indexed: 11/25/2022] Open
Abstract
BACKGROUND The NMDA receptor (NMDAR) plays a key role in the central nervous system, e.g., for synaptic transmission. While synaptic NMDARs are thought to have protective characteristics, activation of extrasynaptic NMDARs might trigger excitotoxic processes linked to neuropsychiatric disorders. Since extrasynaptic NMDARs are typically GluN2B-enriched, the subunit is an interesting target for drug development and treatment monitoring. Recently, the novel GluN2B-specific PET radioligand (R)-[11C]Me-NB1 was investigated in rodents and for the first time successfully translated to humans. To assess whether (R)-[11C]Me-NB1 is a valuable radioligand for (repeated) clinical applications, we evaluated its safety, biodistribution and dosimetry. METHODS Four healthy subjects (two females, two males) underwent one whole-body PET/MR measurement lasting for more than 120 min. The GluN2B-specific radioligand (R)-[11C]Me-NB1 was administered simultaneously with the PET start. Subjects were measured in nine passes and six bed positions from head to mid-thigh. Regions of interest was anatomically defined for the brain, thyroid, lungs, heart wall, spleen, stomach contents, pancreas, liver, kidneys, bone marrow and urinary bladder contents, using both PET and MR images. Time-integrated activity coefficients were estimated to calculate organ equivalent dose coefficients and the effective dose coefficient. Additionally, standardized uptake values (SUV) were computed to visualize the biodistribution. RESULTS Administration of the radioligand was safe without adverse events. The organs with the highest uptake were the urinary bladder, spleen and pancreas. Organ equivalent dose coefficients were higher in female in almost all organs, except for the urinary bladder of male. The effective dose coefficient was 6.0 µSv/MBq. CONCLUSION The GluN2B-specific radioligand (R)-[11C]Me-NB1 was well-tolerated without reported side effects. Effective dose was estimated to 1.8 mSv when using 300 MBq of presented radioligand. The critical organ was the urinary bladder. Due to the low effective dose coefficient of this radioligand, longitudinal studies for drug development and treatment monitoring of neuropsychiatric disorders including neurodegenerative diseases are possible. Trial registration Registered on 11th of June 2019 at https://www.basg.gv.at (EudraCT: 2018-002933-39).
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Affiliation(s)
- Lucas Rischka
- Department of Psychiatry and Psychotherapy, Comprehensive Center for Clinical Neurosciences and Mental Health (C3NMH), Medical University of Vienna, Waehringer Guertel 18-20, 1090, Vienna, Austria
| | - Matej Murgaš
- Department of Psychiatry and Psychotherapy, Comprehensive Center for Clinical Neurosciences and Mental Health (C3NMH), Medical University of Vienna, Waehringer Guertel 18-20, 1090, Vienna, Austria
| | - Verena Pichler
- Department of Biomedical Imaging and Image-Guided Therapy, Division of Nuclear Medicine, Medical University of Vienna, Waehringer Guertel 18-20, 1090, Vienna, Austria
- Department of Pharmaceutical Sciences, Division of Pharmaceutical Chemistry, University of Vienna, Vienna, Austria
| | - Chrysoula Vraka
- Department of Biomedical Imaging and Image-Guided Therapy, Division of Nuclear Medicine, Medical University of Vienna, Waehringer Guertel 18-20, 1090, Vienna, Austria
| | - Ivo Rausch
- Center for Medical Physics and Biomedical Engineering, Medical University of Vienna, Vienna, Austria
| | - Dietmar Winkler
- Department of Psychiatry and Psychotherapy, Comprehensive Center for Clinical Neurosciences and Mental Health (C3NMH), Medical University of Vienna, Waehringer Guertel 18-20, 1090, Vienna, Austria
| | - Lukas Nics
- Department of Biomedical Imaging and Image-Guided Therapy, Division of Nuclear Medicine, Medical University of Vienna, Waehringer Guertel 18-20, 1090, Vienna, Austria
| | - Sazan Rasul
- Department of Biomedical Imaging and Image-Guided Therapy, Division of Nuclear Medicine, Medical University of Vienna, Waehringer Guertel 18-20, 1090, Vienna, Austria
| | - Leo Robert Silberbauer
- Department of Psychiatry and Psychotherapy, Comprehensive Center for Clinical Neurosciences and Mental Health (C3NMH), Medical University of Vienna, Waehringer Guertel 18-20, 1090, Vienna, Austria
| | - Murray Bruce Reed
- Department of Psychiatry and Psychotherapy, Comprehensive Center for Clinical Neurosciences and Mental Health (C3NMH), Medical University of Vienna, Waehringer Guertel 18-20, 1090, Vienna, Austria
| | - Godber Mathis Godbersen
- Department of Psychiatry and Psychotherapy, Comprehensive Center for Clinical Neurosciences and Mental Health (C3NMH), Medical University of Vienna, Waehringer Guertel 18-20, 1090, Vienna, Austria
| | - Jakob Unterholzner
- Department of Psychiatry and Psychotherapy, Comprehensive Center for Clinical Neurosciences and Mental Health (C3NMH), Medical University of Vienna, Waehringer Guertel 18-20, 1090, Vienna, Austria
| | - Patricia Handschuh
- Department of Psychiatry and Psychotherapy, Comprehensive Center for Clinical Neurosciences and Mental Health (C3NMH), Medical University of Vienna, Waehringer Guertel 18-20, 1090, Vienna, Austria
| | - Gregor Gryglewski
- Department of Psychiatry and Psychotherapy, Comprehensive Center for Clinical Neurosciences and Mental Health (C3NMH), Medical University of Vienna, Waehringer Guertel 18-20, 1090, Vienna, Austria
| | - Thomas Mindt
- Department of Biomedical Imaging and Image-Guided Therapy, Division of Nuclear Medicine, Medical University of Vienna, Waehringer Guertel 18-20, 1090, Vienna, Austria
- Ludwig Boltzmann Institute Applied Diagnostics, Vienna, Austria
- Institute of Inorganic Chemistry, Faculty of Chemistry, University of Vienna, Vienna, Austria
| | - Markus Mitterhauser
- Department of Biomedical Imaging and Image-Guided Therapy, Division of Nuclear Medicine, Medical University of Vienna, Waehringer Guertel 18-20, 1090, Vienna, Austria
- Ludwig Boltzmann Institute Applied Diagnostics, Vienna, Austria
| | - Andreas Hahn
- Department of Psychiatry and Psychotherapy, Comprehensive Center for Clinical Neurosciences and Mental Health (C3NMH), Medical University of Vienna, Waehringer Guertel 18-20, 1090, Vienna, Austria
| | - Simon Mensah Ametamey
- Center for Radiopharmaceutical Sciences ETH-PSI-USZ, Institute of Pharmaceutical Sciences ETH, Zurich, Switzerland
| | - Wolfgang Wadsak
- Department of Biomedical Imaging and Image-Guided Therapy, Division of Nuclear Medicine, Medical University of Vienna, Waehringer Guertel 18-20, 1090, Vienna, Austria
- Center for Biomarker Research in Medicine (CBmed), Graz, Austria
| | - Rupert Lanzenberger
- Department of Psychiatry and Psychotherapy, Comprehensive Center for Clinical Neurosciences and Mental Health (C3NMH), Medical University of Vienna, Waehringer Guertel 18-20, 1090, Vienna, Austria.
| | - Marcus Hacker
- Department of Biomedical Imaging and Image-Guided Therapy, Division of Nuclear Medicine, Medical University of Vienna, Waehringer Guertel 18-20, 1090, Vienna, Austria.
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19
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Rischka L, Vraka C, Pichler V, Rasul S, Nics L, Gryglewski G, Handschuh P, Murgaš M, Godbersen GM, Silberbauer LR, Unterholzner J, Wotawa C, Haider A, Ahmed H, Schibli R, Mindt T, Mitterhauser M, Wadsak W, Hahn A, Lanzenberger R, Hacker M, Ametamey SM. First-in-Humans Brain PET Imaging of the GluN2B-Containing N-methyl-d-aspartate Receptor with ( R)- 11C-Me-NB1. J Nucl Med 2022; 63:936-941. [PMID: 34620732 PMCID: PMC9157734 DOI: 10.2967/jnumed.121.262427] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2021] [Revised: 08/26/2021] [Indexed: 11/16/2022] Open
Abstract
The N-methyl-d-aspartate receptor (NMDAR) plays a crucial role in neurodegenerative diseases such as Alzheimer disease and in the treatment of major depression by fast-acting antidepressants such as ketamine. Given their broad implications, GluN2B-containing NMDARs have been of interest as diagnostic and therapeutic targets. Recently, (R)-11C-Me-NB1 was investigated preclinically and shown to be a promising radioligand for imaging GluN2B subunits. Here, we report on the performance characteristics of this radioligand in a first-in-humans PET study. Methods: Six healthy male subjects were scanned twice on a fully integrated PET/MR scanner with (R)-11C-Me-NB1 for 120 min. Brain uptake and tracer distribution over time were investigated by SUVs. Test-retest reliability was assessed with the absolute percentage difference and the coefficient of variation. Exploratory total volumes of distribution (VT) were computed using an arterial input function and the Logan plot as well as a constrained 2-tissue-compartment model with the ratio of rate constants between plasma and tissue compartments (K1/k2) coupled (2TCM). SUV was correlated with VT to investigate its potential as a surrogate marker of GluN2B expression. Results: High and heterogeneous radioligand uptake was observed across the entire gray matter with reversible kinetics within the scan time. SUV absolute percentage difference ranged from 6.9% to 8.5% and coefficient of variation from 4.9% to 6.0%, indicating a high test-retest reliability. A moderate correlation was found between SUV averaged from 70 to 90 min and VT using Logan plot (Spearman ρ = 0.44). Correlation between VT Logan and 2TCM was r = 0.76. Conclusion: The radioligand (R)-11C-Me-NB1 was highly effective in mapping GluN2B-enriched NMDARs in the human brain. With a heterogeneous uptake and a high test-retest reliability, this radioligand offers promise to deepen our understanding of the GluN2B-containing NMDAR in the pathophysiology and treatment of neuropsychiatric disease such as Alzheimer disease and major depression. Additionally, it could help in the selection of appropriate doses of GluN2B-targeting drugs.
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Affiliation(s)
- Lucas Rischka
- Department of Psychiatry and Psychotherapy, Medical University of Vienna, Vienna, Austria
| | - Chrysoula Vraka
- Division of Nuclear Medicine, Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Vienna, Austria
| | - Verena Pichler
- Division of Nuclear Medicine, Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Vienna, Austria
- Department of Pharmaceutical Chemistry, University of Vienna, Vienna, Austria
| | - Sazan Rasul
- Division of Nuclear Medicine, Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Vienna, Austria
| | - Lukas Nics
- Division of Nuclear Medicine, Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Vienna, Austria
| | - Gregor Gryglewski
- Department of Psychiatry and Psychotherapy, Medical University of Vienna, Vienna, Austria
| | - Patricia Handschuh
- Department of Psychiatry and Psychotherapy, Medical University of Vienna, Vienna, Austria
| | - Matej Murgaš
- Department of Psychiatry and Psychotherapy, Medical University of Vienna, Vienna, Austria
| | - Godber M Godbersen
- Department of Psychiatry and Psychotherapy, Medical University of Vienna, Vienna, Austria
| | - Leo R Silberbauer
- Department of Psychiatry and Psychotherapy, Medical University of Vienna, Vienna, Austria
| | - Jakob Unterholzner
- Department of Psychiatry and Psychotherapy, Medical University of Vienna, Vienna, Austria
| | - Christoph Wotawa
- Department of Psychiatry and Psychotherapy, Medical University of Vienna, Vienna, Austria
| | - Ahmed Haider
- Centre for Radiopharmaceutical Sciences ETH-PSI-USZ, Institute of Pharmaceutical Sciences ETH, Zurich, Switzerland
| | - Hazem Ahmed
- Centre for Radiopharmaceutical Sciences ETH-PSI-USZ, Institute of Pharmaceutical Sciences ETH, Zurich, Switzerland
| | - Roger Schibli
- Centre for Radiopharmaceutical Sciences ETH-PSI-USZ, Institute of Pharmaceutical Sciences ETH, Zurich, Switzerland
| | - Thomas Mindt
- Division of Nuclear Medicine, Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Vienna, Austria
- Ludwig Boltzmann Institute Applied Diagnostics, Vienna, Austria
- Institute of Inorganic Chemistry, University of Vienna, Vienna, Austria; and
| | - Markus Mitterhauser
- Division of Nuclear Medicine, Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Vienna, Austria
- Ludwig Boltzmann Institute Applied Diagnostics, Vienna, Austria
| | - Wolfgang Wadsak
- Division of Nuclear Medicine, Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Vienna, Austria
- Center for Biomarker Research in Medicine (CBmed), Graz, Austria
| | - Andreas Hahn
- Department of Psychiatry and Psychotherapy, Medical University of Vienna, Vienna, Austria
| | - Rupert Lanzenberger
- Department of Psychiatry and Psychotherapy, Medical University of Vienna, Vienna, Austria;
| | - Marcus Hacker
- Division of Nuclear Medicine, Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Vienna, Austria;
| | - Simon M Ametamey
- Centre for Radiopharmaceutical Sciences ETH-PSI-USZ, Institute of Pharmaceutical Sciences ETH, Zurich, Switzerland;
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20
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Silberbauer LR, Rischka L, Vraka C, Hartmann AM, Godbersen GM, Philippe C, Pacher D, Nics L, Klöbl M, Unterholzner J, Stimpfl T, Wadsak W, Hahn A, Hacker M, Rujescu D, Kasper S, Lanzenberger R, Gryglewski G. ABCB1 variants and sex affect serotonin transporter occupancy in the brain. Mol Psychiatry 2022; 27:4502-4509. [PMID: 36071112 PMCID: PMC7613909 DOI: 10.1038/s41380-022-01733-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/07/2021] [Revised: 07/20/2022] [Accepted: 07/29/2022] [Indexed: 12/14/2022]
Abstract
Strategies to personalize psychopharmacological treatment promise to improve efficacy and tolerability. We measured serotonin transporter occupancy immediately after infusion of the widely prescribed P-glycoprotein substrate citalopram and assessed to what extent variants of the ABCB1 gene affect drug target engagement in the brain in vivo. A total of 79 participants (39 female) including 31 patients with major depression and 48 healthy volunteers underwent two PET/MRI scans with the tracer [11C]DASB and placebo-controlled infusion of citalopram (8 mg) in a cross-over design. We tested the effect of six ABCB1 single nucleotide polymorphisms and found lower SERT occupancy in ABCB1 rs2235015 minor allele carriers (n = 26, MAF = 0.18) compared to major allele homozygotes (t73 = 2.73, pFWE < 0.05) as well as in men compared to women (t73 = 3.33, pFWE < 0.05). These effects were robust to correction for citalopram plasma concentration, age and diagnosis. From occupancy we derived the ratio of occupied to unoccupied SERT, because in theory this measure is equal to the product of drug affinity and concentration at target sites. A model combining genotype with basic clinical variables, predicted that, at the same dosage, occupied to unoccupied SERT ratio was -14.48 ± 5.38% lower in rs2235015 minor allele carriers, +19.10 ± 6.95% higher in women, -4.83 ± 2.70% lower per 10 kg bodyweight, and -2.68 ± 3.07% lower per 10 years of age. Our results support the exploration of clinical algorithms with adjustment of initial citalopram dosing and highlight the potential of imaging-genetics for precision pharmacotherapy in psychiatry.
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Affiliation(s)
- Leo R. Silberbauer
- grid.22937.3d0000 0000 9259 8492Department of Psychiatry and Psychotherapy, Comprehensive Center for Clinical Neurosciences and Mental Health, Medical University of Vienna, Vienna, Austria
| | - Lucas Rischka
- grid.22937.3d0000 0000 9259 8492Department of Psychiatry and Psychotherapy, Comprehensive Center for Clinical Neurosciences and Mental Health, Medical University of Vienna, Vienna, Austria
| | - Chrysoula Vraka
- grid.22937.3d0000 0000 9259 8492Department of Biomedical Imaging and Image-guided Therapy, Division of Nuclear Medicine, Medical University of Vienna, Vienna, Austria
| | - Annette M. Hartmann
- grid.22937.3d0000 0000 9259 8492Department of Psychiatry and Psychotherapy, Comprehensive Center for Clinical Neurosciences and Mental Health, Medical University of Vienna, Vienna, Austria
| | - Godber Mathis Godbersen
- grid.22937.3d0000 0000 9259 8492Department of Psychiatry and Psychotherapy, Comprehensive Center for Clinical Neurosciences and Mental Health, Medical University of Vienna, Vienna, Austria
| | - Cécile Philippe
- grid.22937.3d0000 0000 9259 8492Department of Biomedical Imaging and Image-guided Therapy, Division of Nuclear Medicine, Medical University of Vienna, Vienna, Austria
| | - Daniel Pacher
- grid.22937.3d0000 0000 9259 8492Department of Psychiatry and Psychotherapy, Comprehensive Center for Clinical Neurosciences and Mental Health, Medical University of Vienna, Vienna, Austria
| | - Lukas Nics
- grid.22937.3d0000 0000 9259 8492Department of Biomedical Imaging and Image-guided Therapy, Division of Nuclear Medicine, Medical University of Vienna, Vienna, Austria
| | - Manfred Klöbl
- grid.22937.3d0000 0000 9259 8492Department of Psychiatry and Psychotherapy, Comprehensive Center for Clinical Neurosciences and Mental Health, Medical University of Vienna, Vienna, Austria
| | - Jakob Unterholzner
- grid.22937.3d0000 0000 9259 8492Department of Psychiatry and Psychotherapy, Comprehensive Center for Clinical Neurosciences and Mental Health, Medical University of Vienna, Vienna, Austria
| | - Thomas Stimpfl
- grid.22937.3d0000 0000 9259 8492Clinical Department of Laboratory Medicine, Medical University of Vienna, Vienna, Austria
| | - Wolfgang Wadsak
- grid.22937.3d0000 0000 9259 8492Department of Biomedical Imaging and Image-guided Therapy, Division of Nuclear Medicine, Medical University of Vienna, Vienna, Austria ,grid.499898.dCenter for Biomarker Research in Medicine (CBmed), Graz, Austria
| | - Andreas Hahn
- grid.22937.3d0000 0000 9259 8492Department of Psychiatry and Psychotherapy, Comprehensive Center for Clinical Neurosciences and Mental Health, Medical University of Vienna, Vienna, Austria
| | - Marcus Hacker
- grid.22937.3d0000 0000 9259 8492Department of Biomedical Imaging and Image-guided Therapy, Division of Nuclear Medicine, Medical University of Vienna, Vienna, Austria
| | - Dan Rujescu
- grid.22937.3d0000 0000 9259 8492Department of Psychiatry and Psychotherapy, Comprehensive Center for Clinical Neurosciences and Mental Health, Medical University of Vienna, Vienna, Austria
| | - Siegfried Kasper
- grid.22937.3d0000 0000 9259 8492Center for Brain Research, Medical University of Vienna, Vienna, Austria
| | - Rupert Lanzenberger
- grid.22937.3d0000 0000 9259 8492Department of Psychiatry and Psychotherapy, Comprehensive Center for Clinical Neurosciences and Mental Health, Medical University of Vienna, Vienna, Austria
| | - Gregor Gryglewski
- Department of Psychiatry and Psychotherapy, Comprehensive Center for Clinical Neurosciences and Mental Health, Medical University of Vienna, Vienna, Austria. .,Child Study Center, Yale University, New Haven, CT, USA.
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21
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Zopf LM, Heimel P, Geyer SH, Kavirayani A, Reier S, Fröhlich V, Stiglbauer-Tscholakoff A, Chen Z, Nics L, Zinnanti J, Drexler W, Mitterhauser M, Helbich T, Weninger WJ, Slezak P, Obenauf A, Bühler K, Walter A. Cross-Modality Imaging of Murine Tumor Vasculature-a Feasibility Study. Mol Imaging Biol 2021. [PMID: 34101107 DOI: 10.1007/s11307-021-01615-y/figures/6] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/14/2023]
Abstract
Tumor vasculature and angiogenesis play a crucial role in tumor progression. Their visualization is therefore of utmost importance to the community. In this proof-of-principle study, we have established a novel cross-modality imaging (CMI) pipeline to characterize exactly the same murine tumors across scales and penetration depths, using orthotopic models of melanoma cancer. This allowed the acquisition of a comprehensive set of vascular parameters for a single tumor. The workflow visualizes capillaries at different length scales, puts them into the context of the overall tumor vessel network and allows quantification and comparison of vessel densities and morphologies by different modalities. The workflow adds information about hypoxia and blood flow rates. The CMI approach includes well-established technologies such as magnetic resonance imaging (MRI), positron emission tomography (PET), computed tomography (CT), and ultrasound (US), and modalities that are recent entrants into preclinical discovery such as optical coherence tomography (OCT) and high-resolution episcopic microscopy (HREM). This novel CMI platform establishes the feasibility of combining these technologies using an extensive image processing pipeline. Despite the challenges pertaining to the integration of microscopic and macroscopic data across spatial resolutions, we also established an open-source pipeline for the semi-automated co-registration of the diverse multiscale datasets, which enables truly correlative vascular imaging. Although focused on tumor vasculature, our CMI platform can be used to tackle a multitude of research questions in cancer biology.
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Affiliation(s)
- Lydia M Zopf
- Austrian BioImaging/CMI, Vienna BioCenter Core Facilities GmbH (VBCF), Vienna, Austria
| | - Patrick Heimel
- Ludwig Boltzmann Institute for Experimental and Clinical Traumatology in the AUVA Trauma Research Center, Austrian BioImaging/CMI, Vienna, Austria
- Core Facility Hard Tissue and Biomaterial Research, Karl Donath Laboratory, University Clinic of Dentistry, Medical University Vienna, Vienna, Austria
| | - Stefan H Geyer
- Division of Anatomy, MIC, Medical University of Vienna, Austrian BioImaging/CMI, Vienna, Austria
| | - Anoop Kavirayani
- Austrian BioImaging/CMI, Vienna BioCenter Core Facilities GmbH (VBCF), Vienna, Austria
| | - Susanne Reier
- Austrian BioImaging/CMI, Vienna BioCenter Core Facilities GmbH (VBCF), Vienna, Austria
| | - Vanessa Fröhlich
- Department of Biomedical Imaging and Image-guided Therapy, Division of Molecular and Structural Preclinical Imaging, Medical University of Vienna, Vienna, Austria
| | - Alexander Stiglbauer-Tscholakoff
- Department of Biomedical Imaging and Image-guided Therapy, Division of Molecular and Structural Preclinical Imaging, Medical University of Vienna, Vienna, Austria
| | - Zhe Chen
- Medical University of Vienna, Vienna, Austria
| | - Lukas Nics
- Medical University of Vienna, Vienna, Austria
| | - Jelena Zinnanti
- Austrian BioImaging/CMI, Vienna BioCenter Core Facilities GmbH (VBCF), Vienna, Austria
| | | | - Markus Mitterhauser
- Medical University of Vienna, Vienna, Austria
- Ludwig Boltzmann Institute Applied Diagnostics, Vienna, Austria
| | - Thomas Helbich
- Department of Biomedical Imaging and Image-guided Therapy, Division of Molecular and Structural Preclinical Imaging, Medical University of Vienna, Vienna, Austria
| | - Wolfgang J Weninger
- Division of Anatomy, MIC, Medical University of Vienna, Austrian BioImaging/CMI, Vienna, Austria
| | - Paul Slezak
- Ludwig Boltzmann Institute for Experimental and Clinical Traumatology in the AUVA Trauma Research Center, Austrian BioImaging/CMI, Vienna, Austria
| | - Anna Obenauf
- Research Institute of Molecular Pathology (IMP), Vienna Biocenter (VBC), Vienna, Austria
| | - Katja Bühler
- VRVis Zentrum für Virtual Reality und Visualisierung Forschungs-GmbH, Austrian BioImaging/CMI, Vienna, Austria
| | - Andreas Walter
- Austrian BioImaging/CMI, Vienna BioCenter Core Facilities GmbH (VBCF), Vienna, Austria.
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22
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Kranz GS, Spies M, Vraka C, Kaufmann U, Klebermass EM, Handschuh PA, Ozenil M, Murgaš M, Pichler V, Rischka L, Nics L, Konadu ME, Ibeschitz H, Traub-Weidinger T, Wadsak W, Hahn A, Hacker M, Lanzenberger R. High-dose testosterone treatment reduces monoamine oxidase A levels in the human brain: A preliminary report. Psychoneuroendocrinology 2021; 133:105381. [PMID: 34416504 DOI: 10.1016/j.psyneuen.2021.105381] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/03/2021] [Revised: 06/22/2021] [Accepted: 08/03/2021] [Indexed: 10/20/2022]
Abstract
The sex hormones testosterone and estradiol influence brain structure and function and are implicated in the pathogenesis, prevalence and disease course of major depression. Recent research employing gender-affirming hormone treatment (GHT) of gender dysphoric individuals and utilizing positron emission tomography (PET) indicates increased serotonin transporter binding upon high-dosages of testosterone treatment. Here, we investigated the effects of GHT on levels of monoamine oxidase A (MAO-A), another key target of antidepressant treatment. Participants underwent PET with the radioligand [11C]harmine to assess cerebral MAO-A distribution volumes (VT) before and four months after initiation of GHT. By the time this study was terminated for technical reasons, 18 transgender individuals undergoing GHT (11 transmen, TM and 7 transwomen, TW) and 17 cis-gender subjects had been assessed. Preliminary analysis of available data revealed statistically significant MAO-A VT reductions in TM under testosterone treatment in six of twelve a priori defined regions of interest (middle frontal cortex (-10%), anterior cingulate cortex (-9%), medial cingulate cortex (-10.5%), insula (-8%), amygdala (-9%) and hippocampus (-8.5%, all p<0.05)). MAO-A VT did not change in TW receiving estrogen treatment. Despite the limited sample size, pronounced MAO-A VT reduction could be observed, pointing towards a potential effect of testosterone. Considering MAO-A's central role in regulation of serotonergic neurotransmission, changes to MAO-A VT should be further investigated as a possible mechanism by which testosterone mediates risk for, symptomatology of, and treatment response in affective disorders.
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Affiliation(s)
- Georg S Kranz
- Department of Rehabilitation Sciences, The Hong Kong Polytechnic University, Hong Kong SAR , China; Department of Psychiatry and Psychotherapy, Medical University of Vienna, Austria
| | - Marie Spies
- Department of Psychiatry and Psychotherapy, Medical University of Vienna, Austria
| | - Chrysoula Vraka
- Department of Biomedical Imaging and Image-guided Therapy, Division of Nuclear Medicine, Medical University of Vienna, Austria
| | - Ulrike Kaufmann
- Department of Obstetrics and Gynecology, Medical University of Vienna, Austria
| | - Eva-Maria Klebermass
- Department of Biomedical Imaging and Image-guided Therapy, Division of Nuclear Medicine, Medical University of Vienna, Austria; Department of Pharmaceutical Technology and Biopharmaceutics, University of Vienna, Austria
| | - Patricia A Handschuh
- Department of Psychiatry and Psychotherapy, Medical University of Vienna, Austria
| | - Marius Ozenil
- Department of Biomedical Imaging and Image-guided Therapy, Division of Nuclear Medicine, Medical University of Vienna, Austria
| | - Matej Murgaš
- Department of Psychiatry and Psychotherapy, Medical University of Vienna, Austria
| | - Verena Pichler
- Department of Biomedical Imaging and Image-guided Therapy, Division of Nuclear Medicine, Medical University of Vienna, Austria; Department of Pharmaceutical Chemistry, University of Vienna, Austria
| | - Lucas Rischka
- Department of Psychiatry and Psychotherapy, Medical University of Vienna, Austria
| | - Lukas Nics
- Department of Biomedical Imaging and Image-guided Therapy, Division of Nuclear Medicine, Medical University of Vienna, Austria
| | - Melisande E Konadu
- Department of Psychiatry and Psychotherapy, Medical University of Vienna, Austria
| | - Harald Ibeschitz
- Department of Biomedical Imaging and Image-guided Therapy, Division of Nuclear Medicine, Medical University of Vienna, Austria
| | - Tatjana Traub-Weidinger
- Department of Biomedical Imaging and Image-guided Therapy, Division of Nuclear Medicine, Medical University of Vienna, Austria
| | - Wolfgang Wadsak
- Department of Biomedical Imaging and Image-guided Therapy, Division of Nuclear Medicine, Medical University of Vienna, Austria
| | - Andreas Hahn
- Department of Psychiatry and Psychotherapy, Medical University of Vienna, Austria
| | - Marcus Hacker
- Department of Biomedical Imaging and Image-guided Therapy, Division of Nuclear Medicine, Medical University of Vienna, Austria
| | - Rupert Lanzenberger
- Department of Psychiatry and Psychotherapy, Medical University of Vienna, Austria.
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23
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Sauerzopf U, Weidenauer A, Dajic I, Bauer M, Bartova L, Meyer B, Nics L, Philippe C, Pfaff S, Pichler V, Mitterhauser M, Wadsak W, Hacker M, Kasper S, Lanzenberger R, Pezawas L, Praschak-Rieder N, Willeit M. Disrupted relationship between blood glucose and brain dopamine D2/3 receptor binding in patients with first-episode schizophrenia. Neuroimage Clin 2021; 32:102813. [PMID: 34544031 PMCID: PMC8455866 DOI: 10.1016/j.nicl.2021.102813] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/07/2021] [Revised: 08/29/2021] [Accepted: 08/30/2021] [Indexed: 01/11/2023]
Abstract
An elemental function of brain dopamine is to coordinate cognitive and motor resources for successful exploitation of environmental energy sources. Dopamine transmission, goal-directed behavior, and glucose homeostasis are altered in schizophrenia patients prior to and after initiation of pharmacological treatment. Thus, we investigated the relationship between blood glucose levels and brain dopamine signaling in drug-naïve patients with first-episode psychosis. We quantified blood glucose levels and binding of the dopamine D2/3 receptor agonist radioligand (+)-[11C]-PHNO in 15 medication-naïve patients and 27 healthy volunteers employing positron emission tomography. Whole-brain voxel-wise linear model analysis identified two clusters of significant interaction between blood glucose levels and diagnosis on (+)-[11C]-PHNO binding-potential values. We observed positive relationships between blood glucose levels and binding-potential values in healthy volunteers but negative ones in patients with first episode psychosis in a cluster surviving rigorous multiple testing correction located in the in the right ventral tegmental area. Another cluster of homologous behavior, however at a lower level of statistical significance, comprised the ventral striatum and pallidum. Extracellular dopamine levels are a major determinant of (+)-[11C]-PHNO binding in the brain. In line with the concept that increased dopamine signaling occurs when goal-directed behavior is needed for restoring energy supply, our data indicate that in healthy volunteers, extracellular dopamine levels are high when blood glucose levels are low and vice-versa. This relationship is reversed in patients with first-episode psychosis, possibly reflecting an underlying pathogenic alteration that links two seemingly unrelated aspects of the illness: altered dopamine signaling and dysfunctional glucose homeostasis.
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Affiliation(s)
- U Sauerzopf
- Department of Psychiatry and Psychotherapy, Division of General Psychiatry, Medical University of Vienna, Austria
| | - A Weidenauer
- Department of Psychiatry and Psychotherapy, Division of General Psychiatry, Medical University of Vienna, Austria
| | - I Dajic
- Department of Psychiatry and Psychotherapy, Division of General Psychiatry, Medical University of Vienna, Austria
| | - M Bauer
- Department of Psychiatry and Psychotherapy, Division of General Psychiatry, Medical University of Vienna, Austria; Department of Clinical Pharmacology, Medical University of Vienna, Austria
| | - L Bartova
- Department of Psychiatry and Psychotherapy, Division of General Psychiatry, Medical University of Vienna, Austria
| | - B Meyer
- Department of Psychiatry and Psychotherapy, Division of General Psychiatry, Medical University of Vienna, Austria
| | - L Nics
- Department of Biomedical Imaging and Image-guided Therapy, Division of Nuclear Medicine, Medical University of Vienna, Austria
| | - C Philippe
- Department of Biomedical Imaging and Image-guided Therapy, Division of Nuclear Medicine, Medical University of Vienna, Austria
| | - S Pfaff
- Department of Biomedical Imaging and Image-guided Therapy, Division of Nuclear Medicine, Medical University of Vienna, Austria
| | - V Pichler
- Department of Biomedical Imaging and Image-guided Therapy, Division of Nuclear Medicine, Medical University of Vienna, Austria
| | - M Mitterhauser
- Department of Biomedical Imaging and Image-guided Therapy, Division of Nuclear Medicine, Medical University of Vienna, Austria; Ludwig-Boltzmann-Institute Applied Diagnostics, Vienna, Austria
| | - W Wadsak
- Department of Biomedical Imaging and Image-guided Therapy, Division of Nuclear Medicine, Medical University of Vienna, Austria; Center for Biomarker Research in Medicine CBmed, Graz, Austria
| | - M Hacker
- Department of Biomedical Imaging and Image-guided Therapy, Division of Nuclear Medicine, Medical University of Vienna, Austria
| | - S Kasper
- Department of Psychiatry and Psychotherapy, Division of General Psychiatry, Medical University of Vienna, Austria; Centre for Brain Research, Medical University of Vienna, Austria
| | - R Lanzenberger
- Department of Psychiatry and Psychotherapy, Division of General Psychiatry, Medical University of Vienna, Austria
| | - L Pezawas
- Department of Psychiatry and Psychotherapy, Division of General Psychiatry, Medical University of Vienna, Austria
| | - N Praschak-Rieder
- Department of Psychiatry and Psychotherapy, Division of General Psychiatry, Medical University of Vienna, Austria
| | - M Willeit
- Department of Psychiatry and Psychotherapy, Division of General Psychiatry, Medical University of Vienna, Austria.
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24
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Zopf LM, Heimel P, Geyer SH, Kavirayani A, Reier S, Fröhlich V, Stiglbauer-Tscholakoff A, Chen Z, Nics L, Zinnanti J, Drexler W, Mitterhauser M, Helbich T, Weninger WJ, Slezak P, Obenauf A, Bühler K, Walter A. Cross-Modality Imaging of Murine Tumor Vasculature-a Feasibility Study. Mol Imaging Biol 2021; 23:874-893. [PMID: 34101107 PMCID: PMC8578087 DOI: 10.1007/s11307-021-01615-y] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2020] [Revised: 04/28/2021] [Accepted: 04/29/2021] [Indexed: 11/29/2022]
Abstract
Tumor vasculature and angiogenesis play a crucial role in tumor progression. Their visualization is therefore of utmost importance to the community. In this proof-of-principle study, we have established a novel cross-modality imaging (CMI) pipeline to characterize exactly the same murine tumors across scales and penetration depths, using orthotopic models of melanoma cancer. This allowed the acquisition of a comprehensive set of vascular parameters for a single tumor. The workflow visualizes capillaries at different length scales, puts them into the context of the overall tumor vessel network and allows quantification and comparison of vessel densities and morphologies by different modalities. The workflow adds information about hypoxia and blood flow rates. The CMI approach includes well-established technologies such as magnetic resonance imaging (MRI), positron emission tomography (PET), computed tomography (CT), and ultrasound (US), and modalities that are recent entrants into preclinical discovery such as optical coherence tomography (OCT) and high-resolution episcopic microscopy (HREM). This novel CMI platform establishes the feasibility of combining these technologies using an extensive image processing pipeline. Despite the challenges pertaining to the integration of microscopic and macroscopic data across spatial resolutions, we also established an open-source pipeline for the semi-automated co-registration of the diverse multiscale datasets, which enables truly correlative vascular imaging. Although focused on tumor vasculature, our CMI platform can be used to tackle a multitude of research questions in cancer biology.
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Affiliation(s)
- Lydia M Zopf
- Austrian BioImaging/CMI, Vienna BioCenter Core Facilities GmbH (VBCF), Vienna, Austria
| | - Patrick Heimel
- Ludwig Boltzmann Institute for Experimental and Clinical Traumatology in the AUVA Trauma Research Center, Austrian BioImaging/CMI, Vienna, Austria.,Core Facility Hard Tissue and Biomaterial Research, Karl Donath Laboratory, University Clinic of Dentistry, Medical University Vienna, Vienna, Austria
| | - Stefan H Geyer
- Division of Anatomy, MIC, Medical University of Vienna, Austrian BioImaging/CMI, Vienna, Austria
| | - Anoop Kavirayani
- Austrian BioImaging/CMI, Vienna BioCenter Core Facilities GmbH (VBCF), Vienna, Austria
| | - Susanne Reier
- Austrian BioImaging/CMI, Vienna BioCenter Core Facilities GmbH (VBCF), Vienna, Austria
| | - Vanessa Fröhlich
- Department of Biomedical Imaging and Image-guided Therapy, Division of Molecular and Structural Preclinical Imaging, Medical University of Vienna, Vienna, Austria
| | - Alexander Stiglbauer-Tscholakoff
- Department of Biomedical Imaging and Image-guided Therapy, Division of Molecular and Structural Preclinical Imaging, Medical University of Vienna, Vienna, Austria
| | - Zhe Chen
- Medical University of Vienna, Vienna, Austria
| | - Lukas Nics
- Medical University of Vienna, Vienna, Austria
| | - Jelena Zinnanti
- Austrian BioImaging/CMI, Vienna BioCenter Core Facilities GmbH (VBCF), Vienna, Austria
| | | | - Markus Mitterhauser
- Medical University of Vienna, Vienna, Austria.,Ludwig Boltzmann Institute Applied Diagnostics, Vienna, Austria
| | - Thomas Helbich
- Department of Biomedical Imaging and Image-guided Therapy, Division of Molecular and Structural Preclinical Imaging, Medical University of Vienna, Vienna, Austria
| | - Wolfgang J Weninger
- Division of Anatomy, MIC, Medical University of Vienna, Austrian BioImaging/CMI, Vienna, Austria
| | - Paul Slezak
- Ludwig Boltzmann Institute for Experimental and Clinical Traumatology in the AUVA Trauma Research Center, Austrian BioImaging/CMI, Vienna, Austria
| | - Anna Obenauf
- Research Institute of Molecular Pathology (IMP), Vienna Biocenter (VBC), Vienna, Austria
| | - Katja Bühler
- VRVis Zentrum für Virtual Reality und Visualisierung Forschungs-GmbH, Austrian BioImaging/CMI, Vienna, Austria
| | - Andreas Walter
- Austrian BioImaging/CMI, Vienna BioCenter Core Facilities GmbH (VBCF), Vienna, Austria.
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25
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Kulterer OC, Pfaff S, Wadsak W, Garstka N, Remzi M, Vraka C, Nics L, Mitterhauser M, Bootz F, Cazzamalli S, Krall N, Neri D, Haug AR. A Microdosing Study with 99mTc-PHC-102 for the SPECT/CT Imaging of Primary and Metastatic Lesions in Renal Cell Carcinoma Patients. J Nucl Med 2020; 62:360-365. [PMID: 32680925 DOI: 10.2967/jnumed.120.245530] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2020] [Accepted: 06/17/2020] [Indexed: 11/16/2022] Open
Abstract
99mTc-PHC-102 is a 99mTc-labeled derivative of acetazolamide, a high-affinity small organic ligand of carbonic anhydrase IX (CAIX). 99mTc-PHC-102 has previously shown favorable in vivo biodistribution properties in mouse models of CAIX-positive clear cell renal cell carcinoma (ccRCC) and colorectal cancer. In this study, we aimed to explore the targeting performance of 99mTc-PHC-102 in SPECT in patients with renal cell carcinoma while also assessing the safety and tolerability of the radiotracer. Methods: We studied 5 patients with localized or metastatic ccRCC in a microdosing regimen, after the administration of a 50-μg total of CAIX ligand and 600-800 MBq of 99mTc-PHC-102. Tissue distribution and residence time in normal organs and tumors were analyzed by serial SPECT/CT scans at 3 time points (30 min, 2 h, and 6 h) after intravenous administration. Results: In the 5 patients studied, 99mTc-PHC-102 was well tolerated and no study drug-related adverse events were recorded. In the stomach, kidneys, and gallbladder, the radiotracer showed a rapid initial uptake, which cleared over time. Localization of the study drug in primary tumors of 5 patients was observed, with favorable tumor-to-background ratios. 99mTc-PHC-102 SPECT/CT allowed the identification of 4 previously unknown lung and lymph node metastases in 2 patients. Conclusion: 99mTc-PHC-102 is a promising SPECT tracer for the imaging of patients with ccRCC. This tracer has the potential to identify primary and metastatic lesions in different anatomic locations. 99mTc-PHC-102 might also serve as a companion diagnostic agent for future CAIX-targeting therapeutics.
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Affiliation(s)
- Oana C Kulterer
- Department of Biomedical Imaging and Image-Guided Therapy, Division of Nuclear Medicine, Medical University of Vienna, Vienna, Austria
| | - Sarah Pfaff
- Department of Biomedical Imaging and Image-Guided Therapy, Division of Nuclear Medicine, Medical University of Vienna, Vienna, Austria
| | - Wolfgang Wadsak
- Department of Biomedical Imaging and Image-Guided Therapy, Division of Nuclear Medicine, Medical University of Vienna, Vienna, Austria.,Center of Biomarker Research in Medicine, Graz, Austria
| | - Nathalie Garstka
- Department of Urology, Medical University of Vienna, Vienna, Austria
| | - Mesut Remzi
- Department of Urology, Medical University of Vienna, Vienna, Austria
| | - Chrysoula Vraka
- Department of Biomedical Imaging and Image-Guided Therapy, Division of Nuclear Medicine, Medical University of Vienna, Vienna, Austria
| | - Lukas Nics
- Department of Biomedical Imaging and Image-Guided Therapy, Division of Nuclear Medicine, Medical University of Vienna, Vienna, Austria
| | - Markus Mitterhauser
- Department of Biomedical Imaging and Image-Guided Therapy, Division of Nuclear Medicine, Medical University of Vienna, Vienna, Austria.,Ludwig Boltzmann Institute for Applied Diagnostics, Vienna, Austria
| | | | | | | | - Dario Neri
- Department of Chemistry and Applied Biosciences, ETH Zürich, Zürich, Switzerland; and
| | - Alexander R Haug
- Department of Biomedical Imaging and Image-Guided Therapy, Division of Nuclear Medicine, Medical University of Vienna, Vienna, Austria .,Christian Doppler Laboratory for Applied Metabolomics, Medical University of Vienna, Vienna, Austria
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26
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Weidenauer A, Bauer M, Sauerzopf U, Bartova L, Nics L, Pfaff S, Philippe C, Berroterán-Infante N, Pichler V, Meyer BM, Rabl U, Sezen P, Cumming P, Stimpfl T, Sitte HH, Lanzenberger R, Mossaheb N, Zimprich A, Rusjan P, Dorffner G, Mitterhauser M, Hacker M, Pezawas L, Kasper S, Wadsak W, Praschak-Rieder N, Willeit M. On the relationship of first-episode psychosis to the amphetamine-sensitized state: a dopamine D 2/3 receptor agonist radioligand study. Transl Psychiatry 2020; 10:2. [PMID: 32066718 PMCID: PMC7026156 DOI: 10.1038/s41398-019-0681-5] [Citation(s) in RCA: 21] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/02/2019] [Revised: 10/01/2019] [Accepted: 11/01/2019] [Indexed: 12/21/2022] Open
Abstract
Schizophrenia is characterized by increased behavioral and neurochemical responses to dopamine-releasing drugs. This prompted the hypothesis of psychosis as a state of "endogenous" sensitization of the dopamine system although the exact basis of dopaminergic disturbances and the possible role of prefrontal cortical regulation have remained uncertain. To show that patients with first-episode psychosis release more dopamine upon amphetamine-stimulation than healthy volunteers, and to reveal for the first time that prospective sensitization induced by repeated amphetamine exposure increases dopamine-release in stimulant-naïve healthy volunteers to levels observed in patients, we collected data on amphetamine-induced dopamine release using the dopamine D2/3 receptor agonist radioligand [11C]-(+)-PHNO and positron emission tomography. Healthy volunteers (n = 28, 14 female) underwent a baseline and then a post-amphetamine scan before and after a mildly sensitizing regimen of repeated oral amphetamine. Unmedicated patients with first-episode psychosis (n = 21; 6 female) underwent a single pair of baseline and then post-amphetamine scans. Furthermore, T1 weighted magnetic resonance imaging of the prefrontal cortex was performed. Patients with first-episode psychosis showed larger release of dopamine compared to healthy volunteers. After sensitization of healthy volunteers their dopamine release was significantly amplified and no longer different from that seen in patients. Healthy volunteers showed a negative correlation between prefrontal cortical volume and dopamine release. There was no such relationship after sensitization or in patients. Our data in patients with untreated first-episode psychosis confirm the "endogenous sensitization" hypothesis and support the notion of impaired prefrontal control of the dopamine system in schizophrenia.
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Affiliation(s)
- Ana Weidenauer
- Department of Psychiatry and Psychotherapy, Division of General Psychiatry, Medical University of Vienna, Währinger Gürtel 18-20, 1090, Vienna, Austria
| | - Martin Bauer
- Department of Psychiatry and Psychotherapy, Division of General Psychiatry, Medical University of Vienna, Währinger Gürtel 18-20, 1090, Vienna, Austria
- Department of Clinical Pharmacology, Medical University of Vienna, Vienna, Austria
| | - Ulrich Sauerzopf
- Department of Psychiatry and Psychotherapy, Division of General Psychiatry, Medical University of Vienna, Währinger Gürtel 18-20, 1090, Vienna, Austria
| | - Lucie Bartova
- Department of Psychiatry and Psychotherapy, Division of General Psychiatry, Medical University of Vienna, Währinger Gürtel 18-20, 1090, Vienna, Austria
| | - Lukas Nics
- Department of Biomedical Imaging and Image Guided Therapy, Medical University of Vienna, Vienna, Austria
| | - Sarah Pfaff
- Department of Biomedical Imaging and Image Guided Therapy, Medical University of Vienna, Vienna, Austria
| | - Cecile Philippe
- Department of Biomedical Imaging and Image Guided Therapy, Medical University of Vienna, Vienna, Austria
| | - Neydher Berroterán-Infante
- Department of Biomedical Imaging and Image Guided Therapy, Medical University of Vienna, Vienna, Austria
| | - Verena Pichler
- Department of Biomedical Imaging and Image Guided Therapy, Medical University of Vienna, Vienna, Austria
| | - Bernhard M Meyer
- Department of Psychiatry and Psychotherapy, Division of General Psychiatry, Medical University of Vienna, Währinger Gürtel 18-20, 1090, Vienna, Austria
| | - Ulrich Rabl
- Department of Psychiatry and Psychotherapy, Division of General Psychiatry, Medical University of Vienna, Währinger Gürtel 18-20, 1090, Vienna, Austria
| | - Patrick Sezen
- Department of Psychiatry and Psychotherapy, Division of General Psychiatry, Medical University of Vienna, Währinger Gürtel 18-20, 1090, Vienna, Austria
| | - Paul Cumming
- School of Psychology and Counseling and IHBI, Queensland University of Technology, Brisbane, Australia
- Department of Nuclear Medicine, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
| | - Thomas Stimpfl
- Department of Laboratory Medicine, Medical University of Vienna, Vienna, Austria
| | - Harald H Sitte
- Institute of Pharmacology, Medical University of Vienna, Vienna, Austria
| | - Rupert Lanzenberger
- Department of Psychiatry and Psychotherapy, Division of General Psychiatry, Medical University of Vienna, Währinger Gürtel 18-20, 1090, Vienna, Austria
| | - Nilufar Mossaheb
- Department of Psychiatry and Psychotherapy, Division of Social Psychiatry, Medical University of Vienna, Vienna, Austria
| | | | - Pablo Rusjan
- Research Imaging Centre, Centre for Addiction and Mental Health, University of Toronto, Toronto, Canada
| | - Georg Dorffner
- Center for Medical Statistics, Informatics and Intelligent Systems, Medical University of Vienna, Vienna, Austria
| | - Markus Mitterhauser
- Department of Biomedical Imaging and Image Guided Therapy, Medical University of Vienna, Vienna, Austria
- Ludwig Boltzmann Institute Applied Diagnostics, Vienna, Austria
| | - Marcus Hacker
- Department of Biomedical Imaging and Image Guided Therapy, Medical University of Vienna, Vienna, Austria
| | - Lukas Pezawas
- Department of Psychiatry and Psychotherapy, Division of General Psychiatry, Medical University of Vienna, Währinger Gürtel 18-20, 1090, Vienna, Austria
| | - Siegfried Kasper
- Department of Psychiatry and Psychotherapy, Division of General Psychiatry, Medical University of Vienna, Währinger Gürtel 18-20, 1090, Vienna, Austria
| | - Wolfgang Wadsak
- Department of Biomedical Imaging and Image Guided Therapy, Medical University of Vienna, Vienna, Austria
| | - Nicole Praschak-Rieder
- Department of Psychiatry and Psychotherapy, Division of General Psychiatry, Medical University of Vienna, Währinger Gürtel 18-20, 1090, Vienna, Austria
| | - Matthäus Willeit
- Department of Psychiatry and Psychotherapy, Division of General Psychiatry, Medical University of Vienna, Währinger Gürtel 18-20, 1090, Vienna, Austria.
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27
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Tournier N, Bauer M, Pichler V, Nics L, Klebermass EM, Bamminger K, Matzneller P, Weber M, Karch R, Caillé F, Auvity S, Marie S, Jäger W, Wadsak W, Hacker M, Zeitlinger M, Langer O. Impact of P-Glycoprotein Function on the Brain Kinetics of the Weak Substrate 11C-Metoclopramide Assessed with PET Imaging in Humans. J Nucl Med 2019; 60:985-991. [PMID: 30630940 DOI: 10.2967/jnumed.118.219972] [Citation(s) in RCA: 32] [Impact Index Per Article: 6.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2018] [Accepted: 11/28/2018] [Indexed: 02/07/2023] Open
Abstract
PET with avid substrates of P-glycoprotein (ABCB1) provided evidence of the role of this efflux transporter in effectively restricting the brain penetration of its substrates across the human blood-brain barrier (BBB). This may not reflect the situation for weak ABCB1 substrates including several antidepressants, antiepileptic drugs, and neuroleptics, which exert central nervous system effects despite being transported by ABCB1. We performed PET with the weak ABCB1 substrate 11C-metoclopramide in humans to elucidate the impact of ABCB1 function on its brain kinetics. Methods: Ten healthy male subjects underwent 2 consecutive 11C-metoclopramide PET scans without and with ABCB1 inhibition using cyclosporine A (CsA). Pharmacokinetic modeling was performed to estimate the total volume of distribution (V T) and the influx (K 1) and efflux (k 2) rate constants between plasma and selected brain regions. Furthermore, 11C-metoclopramide washout from the brain was estimated by determining the elimination slope (k E,brain) of the brain time-activity curves. Results: In baseline scans, 11C-metoclopramide showed appreciable brain distribution (V T = 2.11 ± 0.33 mL/cm3). During CsA infusion, whole-brain gray matter V T and K 1 were increased by 29% ± 17% and 9% ± 12%, respectively. K 2 was decreased by 15% ± 5%, consistent with a decrease in k E,brain (-32% ± 18%). The impact of CsA on outcome parameters was significant and similar across brain regions except for the pituitary gland, which is not protected by the BBB. Conclusion: Our results show for the first time that ABCB1 does not solely account for the "barrier" property of the BBB but also acts as a detoxifying system to limit the overall brain exposure to its substrates at the human blood-brain interface.
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Affiliation(s)
- Nicolas Tournier
- UMR 1023 IMIV, Service Hospitalier Frédéric Joliot, CEA, Inserm, Université Paris Sud, CNRS, Université Paris-Saclay, Orsay, France
| | - Martin Bauer
- Department of Clinical Pharmacology, Medical University of Vienna, Vienna, Austria
| | - Verena Pichler
- Division of Nuclear Medicine, Department of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, Vienna, Austria
| | - Lukas Nics
- Division of Nuclear Medicine, Department of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, Vienna, Austria
| | - Eva-Maria Klebermass
- Division of Nuclear Medicine, Department of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, Vienna, Austria
| | - Karsten Bamminger
- Department of Clinical Pharmacology, Medical University of Vienna, Vienna, Austria.,Division of Nuclear Medicine, Department of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, Vienna, Austria
| | - Peter Matzneller
- Department of Clinical Pharmacology, Medical University of Vienna, Vienna, Austria
| | - Maria Weber
- Department of Clinical Pharmacology, Medical University of Vienna, Vienna, Austria
| | - Rudolf Karch
- Centre for Medical Statistics, Informatics, and Intelligent Systems, Medical University of Vienna, Vienna, Austria
| | - Fabien Caillé
- UMR 1023 IMIV, Service Hospitalier Frédéric Joliot, CEA, Inserm, Université Paris Sud, CNRS, Université Paris-Saclay, Orsay, France
| | - Sylvain Auvity
- UMR 1023 IMIV, Service Hospitalier Frédéric Joliot, CEA, Inserm, Université Paris Sud, CNRS, Université Paris-Saclay, Orsay, France
| | - Solène Marie
- UMR 1023 IMIV, Service Hospitalier Frédéric Joliot, CEA, Inserm, Université Paris Sud, CNRS, Université Paris-Saclay, Orsay, France
| | - Walter Jäger
- Department of Clinical Pharmacy and Diagnostics, University of Vienna, Vienna, Austria
| | - Wolfgang Wadsak
- Division of Nuclear Medicine, Department of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, Vienna, Austria.,Center for Biomarker Research in Medicine-CBmed GmbH, Graz, Austria; and
| | - Marcus Hacker
- Division of Nuclear Medicine, Department of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, Vienna, Austria
| | - Markus Zeitlinger
- Department of Clinical Pharmacology, Medical University of Vienna, Vienna, Austria
| | - Oliver Langer
- Department of Clinical Pharmacology, Medical University of Vienna, Vienna, Austria.,Division of Nuclear Medicine, Department of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, Vienna, Austria.,Biomedical Systems, Center for Health & Bioresources, AIT Austrian Institute of Technology GmbH, Seibersdorf, Austria
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28
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James GM, Gryglewski G, Vanicek T, Berroterán-Infante N, Philippe C, Kautzky A, Nics L, Vraka C, Godbersen GM, Unterholzner J, Sigurdardottir HL, Spies M, Seiger R, Kranz GS, Hahn A, Mitterhauser M, Wadsak W, Bauer A, Hacker M, Kasper S, Lanzenberger R. Parcellation of the Human Cerebral Cortex Based on Molecular Targets in the Serotonin System Quantified by Positron Emission Tomography In vivo. Cereb Cortex 2019; 29:372-382. [PMID: 30357321 PMCID: PMC6294402 DOI: 10.1093/cercor/bhy249] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2018] [Revised: 09/05/2018] [Accepted: 09/06/2018] [Indexed: 01/21/2023] Open
Abstract
Parcellation of distinct areas in the cerebral cortex has a long history in neuroscience and is of great value for the study of brain function, specialization, and alterations in neuropsychiatric disorders. Analysis of cytoarchitectonical features has revealed their close association with molecular profiles based on protein density. This provides a rationale for the use of in vivo molecular imaging data for parcellation of the cortex with the advantage of whole-brain coverage. In the current work, parcellation was based on expression of key players of the serotonin neurotransmitter system. Positron emission tomography was carried out for the quantification of serotonin 1A (5-HT1A, n = 30) and 5-HT2A receptors (n = 22), the serotonin-degrading enzyme monoamine oxidase A (MAO-A, n = 32) and the serotonin transporter (5-HTT, n = 24) in healthy participants. Cortical protein distribution maps were obtained using surface-based quantification. Based on k-means clustering, silhouette criterion and bootstrapping, five distinct clusters were identified as the optimal solution. The defined clusters proved of high explanatory value for the effects of psychotropic drugs acting on the serotonin system, such as antidepressants and psychedelics. Therefore, the proposed method constitutes a sensible approach towards integration of multimodal imaging data for research and development in neuropharmacology and psychiatry.
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Affiliation(s)
- Gregory M James
- Department of Psychiatry and Psychotherapy, Medical University of Vienna, Vienna, Austria
| | - Gregor Gryglewski
- Department of Psychiatry and Psychotherapy, Medical University of Vienna, Vienna, Austria
| | - Thomas Vanicek
- Department of Psychiatry and Psychotherapy, Medical University of Vienna, Vienna, Austria
| | - Neydher Berroterán-Infante
- Department of Biomedical Imaging and Image-guided Therapy, Division of Nuclear Medicine, Medical University of Vienna, Vienna, Austria
| | - Cécile Philippe
- Department of Biomedical Imaging and Image-guided Therapy, Division of Nuclear Medicine, Medical University of Vienna, Vienna, Austria
| | - Alexander Kautzky
- Department of Psychiatry and Psychotherapy, Medical University of Vienna, Vienna, Austria
| | - Lukas Nics
- Department of Biomedical Imaging and Image-guided Therapy, Division of Nuclear Medicine, Medical University of Vienna, Vienna, Austria
| | - Chrysoula Vraka
- Department of Biomedical Imaging and Image-guided Therapy, Division of Nuclear Medicine, Medical University of Vienna, Vienna, Austria
| | - Godber M Godbersen
- Department of Psychiatry and Psychotherapy, Medical University of Vienna, Vienna, Austria
| | - Jakob Unterholzner
- Department of Psychiatry and Psychotherapy, Medical University of Vienna, Vienna, Austria
| | - Helen L Sigurdardottir
- Department of Psychiatry and Psychotherapy, Medical University of Vienna, Vienna, Austria
| | - Marie Spies
- Department of Psychiatry and Psychotherapy, Medical University of Vienna, Vienna, Austria
| | - René Seiger
- Department of Psychiatry and Psychotherapy, Medical University of Vienna, Vienna, Austria
| | - Georg S Kranz
- Department of Psychiatry and Psychotherapy, Medical University of Vienna, Vienna, Austria
- Department of Rehabilitation Sciences, The Hong Kong Polytechnic University Hong Kong, China
| | - Andreas Hahn
- Department of Psychiatry and Psychotherapy, Medical University of Vienna, Vienna, Austria
| | - Markus Mitterhauser
- Department of Biomedical Imaging and Image-guided Therapy, Division of Nuclear Medicine, Medical University of Vienna, Vienna, Austria
- Ludwig Boltzmann Institute Applied Diagnostics, Vienna, Austria
| | - Wolfgang Wadsak
- Department of Biomedical Imaging and Image-guided Therapy, Division of Nuclear Medicine, Medical University of Vienna, Vienna, Austria
- Center for Biomarker Research in Medicine (CBmed), Graz, Austria
| | - Andreas Bauer
- Institute of Neuroscience and Medicine (INM-2), Research Centre Jülich, Jülich, Germany
| | - Marcus Hacker
- Department of Biomedical Imaging and Image-guided Therapy, Division of Nuclear Medicine, Medical University of Vienna, Vienna, Austria
| | - Siegfried Kasper
- Department of Psychiatry and Psychotherapy, Medical University of Vienna, Vienna, Austria
| | - Rupert Lanzenberger
- Department of Psychiatry and Psychotherapy, Medical University of Vienna, Vienna, Austria
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29
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Pichler V, Zenz T, Philippe C, Vraka C, Berrotéran-Infante N, Pfaff S, Nics L, Ozenil M, Langer O, Willeit M, Traub-Weidinger T, Lanzenberger R, Mitterhauser M, Hacker M, Wadsak W. Molar activity - The keystone in 11C-radiochemistry: An explorative study using the gas phase method. Nucl Med Biol 2018; 67:21-26. [PMID: 30380463 DOI: 10.1016/j.nucmedbio.2018.09.003] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/10/2018] [Revised: 09/28/2018] [Accepted: 09/29/2018] [Indexed: 12/18/2022]
Abstract
INTRODUCTION Radiochemists/radiopharmacists, involved in the preparation of radiopharmaceuticals are regularly confronted with the requirement of continuous high quality productions in their day-to-day business. One of these requirements is high specific or molar activity of the radiotracer in order to avoid e.g. receptor saturation and pharmacological or even toxic effects of the applied tracer for positron emission tomography. In the case of 11C-labeled radiotracers, the reasons for low molar activity are manifold and often the search for potential 12C-contaminations is time-consuming. METHODS In this study, diverse 12C-contaminations were analyzed and quantified, which occurred during >450 syntheses of six PET tracers using [11C]CO2 or [11C]CH3I generated via the gas phase method in a commercially available synthesizer. Additionally, non-radioactive syntheses were performed in order to identify the origins of carbon-12. RESULTS The manifold contributions to low molar activity can be attributed to three main categories, namely technical parameters (e.g. quality of target gases, reagents or tubings), inter/intralaboratory parameters (e.g. maintenance interval, burden of the module, etc.) and interoperator parameters (e.g. handling of the module). CONCLUSION Our study provides a better understanding of different factors contributing to the overall carbon load of a synthesis module, which facilitates maintenance of high molar activity of carbon-11-labeled radiopharmaceuticals.
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Affiliation(s)
- Verena Pichler
- Department of Biomedical Imaging and Image-guided Therapy, Division of Nuclear Medicine, Medical University of Vienna, Vienna, Austria.
| | - Thomas Zenz
- Department of Biomedical Imaging and Image-guided Therapy, Division of Nuclear Medicine, Medical University of Vienna, Vienna, Austria
| | - Cécile Philippe
- Department of Biomedical Imaging and Image-guided Therapy, Division of Nuclear Medicine, Medical University of Vienna, Vienna, Austria
| | - Chrysoula Vraka
- Department of Biomedical Imaging and Image-guided Therapy, Division of Nuclear Medicine, Medical University of Vienna, Vienna, Austria
| | - Neydher Berrotéran-Infante
- Department of Biomedical Imaging and Image-guided Therapy, Division of Nuclear Medicine, Medical University of Vienna, Vienna, Austria
| | - Sarah Pfaff
- Department of Biomedical Imaging and Image-guided Therapy, Division of Nuclear Medicine, Medical University of Vienna, Vienna, Austria
| | - Lukas Nics
- Department of Biomedical Imaging and Image-guided Therapy, Division of Nuclear Medicine, Medical University of Vienna, Vienna, Austria
| | - Marius Ozenil
- Department of Biomedical Imaging and Image-guided Therapy, Division of Nuclear Medicine, Medical University of Vienna, Vienna, Austria
| | - Oliver Langer
- Department of Biomedical Imaging and Image-guided Therapy, Division of Nuclear Medicine, Medical University of Vienna, Vienna, Austria; Department of Clinical Pharmacology, Medical University of Vienna, Vienna, Austria; Center for Health and Bioresources, AIT Austrian Institute of Technology GmbH, Seibersdorf, Austria
| | - Matthäus Willeit
- Department of Psychiatry and Psychotherapy, Division of General Psychiatry, Medical University of Vienna, Vienna, Austria
| | - Tatjana Traub-Weidinger
- Department of Biomedical Imaging and Image-guided Therapy, Division of Nuclear Medicine, Medical University of Vienna, Vienna, Austria
| | - Rupert Lanzenberger
- Department of Psychiatry and Psychotherapy, Division of General Psychiatry, Medical University of Vienna, Vienna, Austria
| | - Markus Mitterhauser
- Department of Biomedical Imaging and Image-guided Therapy, Division of Nuclear Medicine, Medical University of Vienna, Vienna, Austria; Ludwig-Boltzmann-Institute Applied Diagnostics, Vienna, Austria
| | - Marcus Hacker
- Department of Biomedical Imaging and Image-guided Therapy, Division of Nuclear Medicine, Medical University of Vienna, Vienna, Austria
| | - Wolfgang Wadsak
- Department of Biomedical Imaging and Image-guided Therapy, Division of Nuclear Medicine, Medical University of Vienna, Vienna, Austria; CBmed GmbH - Center for Biomarker Research in Medicine, Graz, Austria
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30
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Bauer M, Karch R, Wulkersdorfer B, Philippe C, Nics L, Klebermass EM, Weber M, Poschner S, Haslacher H, Jäger W, Tournier N, Wadsak W, Hacker M, Zeitlinger M, Langer O. A Proof-of-Concept Study to Inhibit ABCG2- and ABCB1-Mediated Efflux Transport at the Human Blood-Brain Barrier. J Nucl Med 2018; 60:486-491. [PMID: 30237210 DOI: 10.2967/jnumed.118.216432] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2018] [Accepted: 09/10/2018] [Indexed: 02/06/2023] Open
Abstract
The adenosine triphosphate-binding cassette transporters P-glycoprotein (ABCB1) and breast cancer resistance protein (ABCG2) are 2 efflux transporters at the blood-brain barrier (BBB) that effectively restrict brain distribution of dual ABCB1/ABCG2 substrate drugs, such as tyrosine kinase inhibitors. Pharmacologic inhibition of ABCB1/ABCG2 may improve the efficacy of dual-substrate drugs for treatment of brain tumors, but no marketed ABCB1/ABCG2 inhibitors are currently available. In the present study, we examined the potential of supratherapeutic-dose oral erlotinib to inhibit ABCB1/ABCG2 activity at the human BBB. Methods: Healthy men underwent 2 consecutive PET scans with 11C-erlotinib: a baseline scan and a second scan either with concurrent intravenous infusion of the ABCB1 inhibitor tariquidar (3.75 mg/min, n = 5) or after oral intake of single ascending doses of erlotinib (300 mg, n = 7; 650 mg, n = 8; or 1,000 mg, n = 2). Results: Although tariquidar administration had no effect on 11C-erlotinib brain distribution, oral erlotinib led, at the 650-mg dose, to significant increases in volume of distribution (23% ± 13%, P = 0.008), influx rate constant of radioactivity from plasma into brain (58% ± 26%, P = 0.008), and area under the brain time-activity curve (78% ± 17%, P = 0.008), presumably because of combined partial saturation of ABCG2 and ABCB1 activity. Inclusion of further subjects into the 1,000-mg dose group was precluded by adverse skin events (rash). Conclusion: Supratherapeutic-dose erlotinib may be used to enhance brain delivery of ABCB1/ABCG2 substrate anticancer drugs, but its clinical applicability for continuous ABCB1/ABCG2 inhibition at the BBB may be limited by safety concerns.
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Affiliation(s)
- Martin Bauer
- Department of Clinical Pharmacology, Medical University of Vienna, Vienna, Austria
| | - Rudolf Karch
- Center for Medical Statistics, Informatics, and Intelligent Systems, Medical University of Vienna, Vienna, Austria
| | | | - Cécile Philippe
- Division of Nuclear Medicine, Department of Biomedical Imaging und Image-Guided Therapy, Medical University of Vienna, Vienna, Austria
| | - Lukas Nics
- Division of Nuclear Medicine, Department of Biomedical Imaging und Image-Guided Therapy, Medical University of Vienna, Vienna, Austria
| | - Eva-Maria Klebermass
- Division of Nuclear Medicine, Department of Biomedical Imaging und Image-Guided Therapy, Medical University of Vienna, Vienna, Austria
| | - Maria Weber
- Department of Clinical Pharmacology, Medical University of Vienna, Vienna, Austria
| | - Stefan Poschner
- Department of Clinical Pharmacy and Diagnostics, University of Vienna, Vienna, Austria
| | - Helmuth Haslacher
- Department of Laboratory Medicine, Medical University of Vienna, Vienna, Austria
| | - Walter Jäger
- Department of Clinical Pharmacy and Diagnostics, University of Vienna, Vienna, Austria
| | - Nicolas Tournier
- IMIV, CEA, INSERM, CNRS, Université Paris-Sud, Université Paris Saclay, CEA-SHFJ, Orsay, France
| | - Wolfgang Wadsak
- Division of Nuclear Medicine, Department of Biomedical Imaging und Image-Guided Therapy, Medical University of Vienna, Vienna, Austria.,Center for Biomarker Research in Medicine, CBmed GmbH, Graz, Austria; and
| | - Marcus Hacker
- Division of Nuclear Medicine, Department of Biomedical Imaging und Image-Guided Therapy, Medical University of Vienna, Vienna, Austria
| | - Markus Zeitlinger
- Department of Clinical Pharmacology, Medical University of Vienna, Vienna, Austria
| | - Oliver Langer
- Department of Clinical Pharmacology, Medical University of Vienna, Vienna, Austria.,Division of Nuclear Medicine, Department of Biomedical Imaging und Image-Guided Therapy, Medical University of Vienna, Vienna, Austria.,Center for Health and Bioresources, Austrian Institute of Technology GmbH, Seibersdorf, Austria
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Bauer M, Traxl A, Matsuda A, Karch R, Philippe C, Nics L, Klebermass EM, Wulkersdorfer B, Weber M, Poschner S, Tournier N, Jäger W, Wadsak W, Hacker M, Wanek T, Zeitlinger M, Langer O. Effect of Rifampicin on the Distribution of [ 11C]Erlotinib to the Liver, a Translational PET Study in Humans and in Mice. Mol Pharm 2018; 15:4589-4598. [PMID: 30180590 DOI: 10.1021/acs.molpharmaceut.8b00588] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/08/2023]
Abstract
Organic anion-transporting polypeptides (OATPs) mediate the uptake of various drugs from blood into the liver in the basolateral membrane of hepatocytes. Positron emission tomography (PET) is a potentially powerful tool to assess the activity of hepatic OATPs in vivo, but its utility critically depends on the availability of transporter-selective probe substrates. We have shown before that among the three OATPs expressed in hepatocytes (OATP1B1, OATP1B3, and OATP2B1), [11C]erlotinib is selectively transported by OATP2B1. In contrast to OATP1B1 and OATP1B3, OATP2B1 has not been thoroughly explored yet, and no specific probe substrates are currently available. To assess if the prototypical OATP inhibitor rifampicin can inhibit liver uptake of [11C]erlotinib in vivo, we performed [11C]erlotinib PET scans in six healthy volunteers without and with intravenous pretreatment with rifampicin (600 mg). In addition, FVB mice underwent [11C]erlotinib PET scans without and with concurrent intravenous infusion of high-dose rifampicin (100 mg/kg). Rifampicin caused a moderate reduction in the liver distribution of [11C]erlotinib in humans, while a more pronounced effect of rifampicin was observed in mice, in which rifampicin plasma concentrations were higher than in humans. In vitro uptake experiments in an OATP2B1-overexpressing cell line indicated that rifampicin inhibited OATP2B1 transport of [11C]erlotinib in a concentration-dependent manner with a half-maximum inhibitory concentration of 72.0 ± 1.4 μM. Our results suggest that rifampicin-inhibitable uptake transporter(s) contributed to the liver distribution of [11C]erlotinib in humans and mice and that [11C]erlotinib PET in combination with rifampicin may be used to measure the activity of this/these uptake transporter(s) in vivo. Furthermore, our data suggest that a standard clinical dose of rifampicin may exert in vivo a moderate inhibitory effect on hepatic OATP2B1.
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Affiliation(s)
| | - Alexander Traxl
- Center for Health & Bioresources , AIT Austrian Institute of Technology GmbH , 2444 Seibersdorf , Austria
| | | | | | | | | | | | | | | | - Stefan Poschner
- Department of Clinical Pharmacy and Diagnostics , University of Vienna , A-1090 Vienna , Austria
| | - Nicolas Tournier
- IMIV, CEA, Inserm, CNRS , Université Paris-Sud, Université Paris Saclay, CEA-SHFJ , 91401 Orsay , France
| | - Walter Jäger
- Department of Clinical Pharmacy and Diagnostics , University of Vienna , A-1090 Vienna , Austria
| | - Wolfgang Wadsak
- Center for Biomarker Research in Medicine - CBmed GmbH , 8010 Graz , Austria
| | | | - Thomas Wanek
- Center for Health & Bioresources , AIT Austrian Institute of Technology GmbH , 2444 Seibersdorf , Austria
| | | | - Oliver Langer
- Center for Health & Bioresources , AIT Austrian Institute of Technology GmbH , 2444 Seibersdorf , Austria
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Pichler V, Berroterán-Infante N, Philippe C, Vraka C, Klebermass EM, Balber T, Pfaff S, Nics L, Mitterhauser M, Wadsak W. An Overview of PET Radiochemistry, Part 1: The Covalent Labels 18F, 11C, and 13N. J Nucl Med 2018; 59:1350-1354. [PMID: 30042159 DOI: 10.2967/jnumed.117.190793] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/27/2017] [Accepted: 07/16/2018] [Indexed: 11/16/2022] Open
Abstract
This continuing educational article introduces the radiochemistry of PET tracers that exhibit a covalently bound radiolabel with the nuclides 11C, 13N, and 18F. The overall process of PET tracer production is explained, starting from the production of the radionuclide in a cyclotron; followed by the automatization process of the radiosynthesis, including the necessary steps for the respective synthesis; and finalized with the requirements for quality control.
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Affiliation(s)
- Verena Pichler
- Division of Nuclear Medicine, Department of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, Vienna, Austria
| | - Neydher Berroterán-Infante
- Division of Nuclear Medicine, Department of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, Vienna, Austria
| | - Cecile Philippe
- Division of Nuclear Medicine, Department of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, Vienna, Austria
| | - Chrysoula Vraka
- Division of Nuclear Medicine, Department of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, Vienna, Austria
| | - Eva-Maria Klebermass
- Division of Nuclear Medicine, Department of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, Vienna, Austria
| | - Theresa Balber
- Division of Nuclear Medicine, Department of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, Vienna, Austria
| | - Sarah Pfaff
- Division of Nuclear Medicine, Department of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, Vienna, Austria
| | - Lukas Nics
- Division of Nuclear Medicine, Department of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, Vienna, Austria
| | - Markus Mitterhauser
- Division of Nuclear Medicine, Department of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, Vienna, Austria.,Ludwig Boltzmann Institute Applied Diagnostics, Vienna, Austria; and
| | - Wolfgang Wadsak
- Division of Nuclear Medicine, Department of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, Vienna, Austria .,CBmed - Center for Biomarker Research in Medicine, Graz, Austria
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Philippe C, Mairinger S, Pichler V, Stanek J, Nics L, Mitterhauser M, Hacker M, Wanek T, Langer O, Wadsak W. Comparison of fully-automated radiosyntheses of [ 11C]erlotinib for preclinical and clinical use starting from in target produced [ 11C]CO 2 or [ 11C]CH 4. EJNMMI Radiopharm Chem 2018; 3:8. [PMID: 29888317 PMCID: PMC5976684 DOI: 10.1186/s41181-018-0044-1] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2018] [Accepted: 05/01/2018] [Indexed: 02/06/2023] Open
Abstract
BACKGROUND [11C]erlotinib has been proposed as a PET tracer to visualize the mutational status of the epidermal growth factor receptor (EGFR) in cancer patients. For clinical use, a stable, reproducible and high-yielding radiosynthesis method is a prerequisite. In this work, two production schemes for [11C]erlotinib applied in a set of preclinical and clinical studies, starting from either [11C]CH4 or [11C]CO2, are presented and compared in terms of radiochemical yields, molar activities and overall synthesis time. In addition, a time-efficient RP-HPLC method for quality control is presented, which requires not more than 1 min. RESULTS [11C]erlotinib was reliably produced applying both methods with decay-corrected radiochemical yields of 13.4 ± 6.2% and 16.1 ± 4.9% starting from in-target produced [11C]CO2 and [11C]CH4, respectively. Irradiation time for the production of [11C]CO2 was higher in order to afford final product amounts sufficient for patient application. Overall synthesis time was comparable, mostly attributable to adaptions in the semi-preparative HPLC protocol. Molar activities were 1.8-fold higher for the method starting from [11C]CH4 (157 ± 68 versus 88 ± 57 GBq/μmol at the end of synthesis). CONCLUSIONS This study compared two synthetic protocols for the production of [11C]erlotinib with in-target produced [11C]CO2 or [11C]CH4. Both methods reliably yielded sufficiently high product amounts for preclinical and clinical use.
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Affiliation(s)
- Cécile Philippe
- Department of Biomedical Imaging and Image-guided Therapy, Division of Nuclear Medicine, Medical University of Vienna, Vienna, Austria
- Department of Pharmaceutical Technology and Biopharmaceutics, University of Vienna, Vienna, Austria
| | - Severin Mairinger
- Biomedical Systems, Center for Health & Bioresources, AIT Austrian Institute of Technology GmbH, Seibersdorf, Austria
| | - Verena Pichler
- Department of Biomedical Imaging and Image-guided Therapy, Division of Nuclear Medicine, Medical University of Vienna, Vienna, Austria
| | - Johann Stanek
- Biomedical Systems, Center for Health & Bioresources, AIT Austrian Institute of Technology GmbH, Seibersdorf, Austria
- Department of Clinical Pharmacology, Medical University of Vienna, Vienna, Austria
| | - Lukas Nics
- Department of Biomedical Imaging and Image-guided Therapy, Division of Nuclear Medicine, Medical University of Vienna, Vienna, Austria
- Department of Nutritional Sciences, University of Vienna, Vienna, Austria
| | - Markus Mitterhauser
- Department of Biomedical Imaging and Image-guided Therapy, Division of Nuclear Medicine, Medical University of Vienna, Vienna, Austria
- Department of Pharmaceutical Technology and Biopharmaceutics, University of Vienna, Vienna, Austria
- Ludwig Boltzmann Institute Applied Diagnostics, Vienna, Austria
| | - Marcus Hacker
- Department of Biomedical Imaging and Image-guided Therapy, Division of Nuclear Medicine, Medical University of Vienna, Vienna, Austria
| | - Thomas Wanek
- Biomedical Systems, Center for Health & Bioresources, AIT Austrian Institute of Technology GmbH, Seibersdorf, Austria
| | - Oliver Langer
- Department of Biomedical Imaging and Image-guided Therapy, Division of Nuclear Medicine, Medical University of Vienna, Vienna, Austria
- Biomedical Systems, Center for Health & Bioresources, AIT Austrian Institute of Technology GmbH, Seibersdorf, Austria
- Department of Clinical Pharmacology, Medical University of Vienna, Vienna, Austria
| | - Wolfgang Wadsak
- Department of Biomedical Imaging and Image-guided Therapy, Division of Nuclear Medicine, Medical University of Vienna, Vienna, Austria
- CBmed, Graz, Austria
- Department of Inorganic Chemistry, University of Vienna, Vienna, Austria
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Hahn A, Gryglewski G, Nics L, Rischka L, Ganger S, Sigurdardottir H, Vraka C, Silberbauer L, Vanicek T, Kautzky A, Wadsak W, Mitterhauser M, Hartenbach M, Hacker M, Kasper S, Lanzenberger R. Task-relevant brain networks identified with simultaneous PET/MR imaging of metabolism and connectivity. Brain Struct Funct 2017; 223:1369-1378. [PMID: 29134288 PMCID: PMC5869947 DOI: 10.1007/s00429-017-1558-0] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2017] [Accepted: 10/30/2017] [Indexed: 10/24/2022]
Abstract
Except for task-specific functional MRI, the vast majority of imaging studies assessed human brain function at resting conditions. However, tracking task-specific neuronal activity yields important insight how the brain responds to stimulation. We specifically investigated changes in glucose metabolism, functional connectivity and white matter microstructure during task performance using several recent methodological advancements. Opening the eyes and right finger tapping had elicited an increased glucose metabolism in primary visual and motor cortices, respectively. Furthermore, a decreased metabolism was observed in the regions of the default mode network, which allowed absolute quantification of commonly described deactivations during cognitive tasks. These brain regions showed widespread task-specific changes in functional connectivity, which stretched beyond their primary resting-state networks and presumably reflected the level of recruitment of certain brain regions for each task. Finally, the corresponding white matter fiber pathways exhibited changes in axial and radial diffusivity during the tasks, which were regionally distinctive for certain tract groups. These results highlight that even simple task performance leads to substantial changes of entire brain networks. Exploiting the complementary nature of the different imaging modalities may reveal novel insights how the brain processes external stimuli and which networks are involved in certain tasks.
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Affiliation(s)
- Andreas Hahn
- Department of Psychiatry and Psychotherapy, Medical University of Vienna, Waehringer Guertel 18-20, 1090, Vienna, Austria
| | - Gregor Gryglewski
- Department of Psychiatry and Psychotherapy, Medical University of Vienna, Waehringer Guertel 18-20, 1090, Vienna, Austria
| | - Lukas Nics
- Division of Nuclear Medicine, Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Vienna, Austria
| | - Lucas Rischka
- Department of Psychiatry and Psychotherapy, Medical University of Vienna, Waehringer Guertel 18-20, 1090, Vienna, Austria
| | - Sebastian Ganger
- Department of Psychiatry and Psychotherapy, Medical University of Vienna, Waehringer Guertel 18-20, 1090, Vienna, Austria
| | - Helen Sigurdardottir
- Department of Psychiatry and Psychotherapy, Medical University of Vienna, Waehringer Guertel 18-20, 1090, Vienna, Austria
| | - Chrysoula Vraka
- Division of Nuclear Medicine, Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Vienna, Austria
| | - Leo Silberbauer
- Department of Psychiatry and Psychotherapy, Medical University of Vienna, Waehringer Guertel 18-20, 1090, Vienna, Austria
| | - Thomas Vanicek
- Department of Psychiatry and Psychotherapy, Medical University of Vienna, Waehringer Guertel 18-20, 1090, Vienna, Austria
| | - Alexander Kautzky
- Department of Psychiatry and Psychotherapy, Medical University of Vienna, Waehringer Guertel 18-20, 1090, Vienna, Austria
| | - Wolfgang Wadsak
- Division of Nuclear Medicine, Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Vienna, Austria.,Center for Biomarker Research in Medicine (CBmed), Graz, Austria
| | - Markus Mitterhauser
- Division of Nuclear Medicine, Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Vienna, Austria.,Ludwig Bolzmann Institute Applied Diagnostics, Vienna, Austria
| | - Markus Hartenbach
- Division of Nuclear Medicine, Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Vienna, Austria
| | - Marcus Hacker
- Division of Nuclear Medicine, Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Vienna, Austria
| | - Siegfried Kasper
- Department of Psychiatry and Psychotherapy, Medical University of Vienna, Waehringer Guertel 18-20, 1090, Vienna, Austria
| | - Rupert Lanzenberger
- Department of Psychiatry and Psychotherapy, Medical University of Vienna, Waehringer Guertel 18-20, 1090, Vienna, Austria.
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Bauer M, Matsuda A, Wulkersdorfer B, Philippe C, Traxl A, Özvegy-Laczka C, Stanek J, Nics L, Klebermass EM, Poschner S, Jäger W, Patik I, Bakos É, Szakács G, Wadsak W, Hacker M, Zeitlinger M, Langer O. Influence of OATPs on Hepatic Disposition of Erlotinib Measured With Positron Emission Tomography. Clin Pharmacol Ther 2017; 104:139-147. [PMID: 28940241 PMCID: PMC6083370 DOI: 10.1002/cpt.888] [Citation(s) in RCA: 34] [Impact Index Per Article: 4.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2017] [Revised: 08/09/2017] [Accepted: 09/18/2017] [Indexed: 12/19/2022]
Abstract
To assess the hepatic disposition of erlotinib, we performed positron emission tomography (PET) scans with [11 C]erlotinib in healthy volunteers without and with oral pretreatment with a therapeutic erlotinib dose (300 mg). Erlotinib pretreatment significantly decreased the liver exposure to [11 C]erlotinib with a concomitant increase in blood exposure, pointing to the involvement of a carrier-mediated hepatic uptake mechanism. Using cell lines overexpressing human organic anion-transporting polypeptides (OATPs) 1B1, 1B3, or 2B1, we show that [11 C]erlotinib is selectively transported by OATP2B1. Our data suggest that at PET microdoses hepatic uptake of [11 C]erlotinib is mediated by OATP2B1, whereas at therapeutic doses OATP2B1 transport is saturated and hepatic uptake occurs mainly by passive diffusion. We propose that [11 C]erlotinib may be used as a hepatic OATP2B1 probe substrate and erlotinib as an OATP2B1 inhibitor in clinical drug-drug interaction studies, allowing the contribution of OATP2B1 to the hepatic uptake of drugs to be revealed.
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Affiliation(s)
- Martin Bauer
- Department of Clinical Pharmacology, Medical University of Vienna, Vienna, Austria
| | - Akihiro Matsuda
- Department of Clinical Pharmacology, Medical University of Vienna, Vienna, Austria
| | | | - Cécile Philippe
- Department of Biomedical Imaging und Image-guided Therapy, Division of Nuclear Medicine, Medical University of Vienna, Vienna, Austria
| | - Alexander Traxl
- Center for Health & Bioresources, AIT Austrian Institute of Technology GmbH, Seibersdorf, Austria
| | - Csilla Özvegy-Laczka
- Institute of Enzymology, Research Centre for Natural Sciences, Hungarian Academy of Sciences, Budapest, Hungary
| | - Johann Stanek
- Department of Clinical Pharmacology, Medical University of Vienna, Vienna, Austria.,Center for Health & Bioresources, AIT Austrian Institute of Technology GmbH, Seibersdorf, Austria
| | - Lukas Nics
- Department of Biomedical Imaging und Image-guided Therapy, Division of Nuclear Medicine, Medical University of Vienna, Vienna, Austria
| | - Eva-Maria Klebermass
- Department of Biomedical Imaging und Image-guided Therapy, Division of Nuclear Medicine, Medical University of Vienna, Vienna, Austria
| | - Stefan Poschner
- Department of Clinical Pharmacy and Diagnostics, University of Vienna, Vienna, Austria
| | - Walter Jäger
- Department of Clinical Pharmacy and Diagnostics, University of Vienna, Vienna, Austria
| | - Izabel Patik
- Institute of Enzymology, Research Centre for Natural Sciences, Hungarian Academy of Sciences, Budapest, Hungary
| | - Éva Bakos
- Institute of Enzymology, Research Centre for Natural Sciences, Hungarian Academy of Sciences, Budapest, Hungary
| | - Gergely Szakács
- Institute of Enzymology, Research Centre for Natural Sciences, Hungarian Academy of Sciences, Budapest, Hungary.,Institute of Cancer Research, Medical University of Vienna, Vienna, Austria
| | - Wolfgang Wadsak
- Department of Biomedical Imaging und Image-guided Therapy, Division of Nuclear Medicine, Medical University of Vienna, Vienna, Austria.,Center for Biomarker Research in Medicine, CBmed GmbH, Graz, Austria
| | - Marcus Hacker
- Department of Biomedical Imaging und Image-guided Therapy, Division of Nuclear Medicine, Medical University of Vienna, Vienna, Austria
| | - Markus Zeitlinger
- Department of Clinical Pharmacology, Medical University of Vienna, Vienna, Austria
| | - Oliver Langer
- Department of Clinical Pharmacology, Medical University of Vienna, Vienna, Austria.,Department of Biomedical Imaging und Image-guided Therapy, Division of Nuclear Medicine, Medical University of Vienna, Vienna, Austria.,Center for Health & Bioresources, AIT Austrian Institute of Technology GmbH, Seibersdorf, Austria
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Bauer M, Matsuda A, Wulkersdorfer B, Philippe C, Nics L, Klebermass E, Stanek J, Wadsak W, Hacker M, Zeitlinger M, Langer O. Hepatic Disposition Of [ 11 C] Erlotinib at Micro- and Therapeutic Doses Assessed with Pet Imaging. Clin Ther 2017. [DOI: 10.1016/j.clinthera.2017.05.011] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
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Vraka C, Nics L, Wagner KH, Hacker M, Wadsak W, Mitterhauser M. LogP, a yesterday's value? Nucl Med Biol 2017; 50:1-10. [PMID: 28364662 DOI: 10.1016/j.nucmedbio.2017.03.003] [Citation(s) in RCA: 53] [Impact Index Per Article: 7.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2017] [Revised: 03/16/2017] [Accepted: 03/16/2017] [Indexed: 01/14/2023]
Abstract
INTRODUCTION There is an increasing demand for high throughput methods at early stages of preclinical radioligand development, in order to predict pharmacokinetic properties (e.g., biodistribution) and blood brain barrier (BBB) penetration. One of the most important physicochemical properties is the lipophilicity, measured by means of shake-flask (logP) or HPLC methods. Yet, a plethora of experimental methods are described in the literature for the determination of logP values. These varying methods often lead to different results for one identical compound, which complicates any comparison or prediction for subsequent preclinical studies. However, a standardized and internationally applied and accepted database with logP values for a reliable comparison of the lipophilic character of radiotracers is still missing. METHOD Lipophilicity measurements were performed with 121 molecules using a high throughput HPLC method and ClogP values were calculated using ChemBioDraw®. Furthermore, logP measurements for six representative radiotracers were performed with the conventional shake-flask method and the results were statistically compared to the ClogP and HPLC logP results. Different logP thresholds, suggesting optimal BBB penetration according to literature, were selected and put into relation with the acquired HPLC logP and ClogP values of cerebral tracers. RESULTS The results of the tested compounds ranged from -2.1 to 5.4 with the applied HPLC method. The acquired database comprises ClogP values of the whole set of compounds ranging from -4.11 to 6.12. LogP data from different methods were not comparable. The correlation of the obtained logP data to thresholds suggesting an optimal brain uptake resulted in a high number of false positive classifications. CONCLUSION The logP determination for prediction of BBB penetration is obsolete. The extensive database, including clinical relevant radiotracers, can be used as comparative set of values for preclinical studies, and serves as a basis for further critical discussions concerning the eligibility of logP.
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Affiliation(s)
- Chrysoula Vraka
- Department of Biomedical Imaging and Image-guided Therapy, Division of Nuclear Medicine, Medical University of Vienna, Vienna, Austria; Department for Nutritional Science, University of Vienna, Vienna, Austria
| | - Lukas Nics
- Department of Biomedical Imaging and Image-guided Therapy, Division of Nuclear Medicine, Medical University of Vienna, Vienna, Austria; Department for Nutritional Science, University of Vienna, Vienna, Austria
| | - Karl-Heinz Wagner
- Department for Nutritional Science, University of Vienna, Vienna, Austria
| | - Marcus Hacker
- Department of Biomedical Imaging and Image-guided Therapy, Division of Nuclear Medicine, Medical University of Vienna, Vienna, Austria
| | - Wolfgang Wadsak
- Department of Biomedical Imaging and Image-guided Therapy, Division of Nuclear Medicine, Medical University of Vienna, Vienna, Austria; Department of Inorganic Chemistry, University of Vienna, Vienna, Austria; CBmed, Graz, Austria
| | - Markus Mitterhauser
- Department of Biomedical Imaging and Image-guided Therapy, Division of Nuclear Medicine, Medical University of Vienna, Vienna, Austria; Department of (PTB) Pharmaceutical Technology and Biopharmaceuticals, University of Vienna, Vienna, Austria; Ludwig Boltzmann Institute Applied Diagnostics, Vienna, Austria.
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Zeilinger M, Pichler F, Nics L, Wadsak W, Spreitzer H, Hacker M, Mitterhauser M. New approaches for the reliable in vitro assessment of binding affinity based on high-resolution real-time data acquisition of radioligand-receptor binding kinetics. EJNMMI Res 2017; 7:22. [PMID: 28271461 PMCID: PMC5340791 DOI: 10.1186/s13550-016-0249-9] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2016] [Accepted: 12/15/2016] [Indexed: 12/02/2022] Open
Abstract
Background Resolving the kinetic mechanisms of biomolecular interactions have become increasingly important in early-phase drug development. Since traditional in vitro methods belong to dose-dependent assessments, binding kinetics is usually overlooked. The present study aimed at the establishment of two novel experimental approaches for the assessment of binding affinity of both, radiolabelled and non-labelled compounds targeting the A3R, based on high-resolution real-time data acquisition of radioligand-receptor binding kinetics. A novel time-resolved competition assay was developed and applied to determine the Ki of eight different A3R antagonists, using CHO-K1 cells stably expressing the hA3R. In addition, a new kinetic real-time cell-binding approach was established to quantify the rate constants kon and koff, as well as the dedicated Kd of the A3R agonist [125I]-AB-MECA. Furthermore, lipophilicity measurements were conducted to control influences due to physicochemical properties of the used compounds. Results Two novel real-time cell-binding approaches were successfully developed and established. Both experimental procedures were found to visualize the kinetic binding characteristics with high spatial and temporal resolution, resulting in reliable affinity values, which are in good agreement with values previously reported with traditional methods. Taking into account the lipophilicity of the A3R antagonists, no influences on the experimental performance and the resulting affinity were investigated. Conclusions Both kinetic binding approaches comprise tracer administration and subsequent binding to living cells, expressing the dedicated target protein. Therefore, the experiments resemble better the true in vivo physiological conditions and provide important markers of cellular feedback and biological response.
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Affiliation(s)
- Markus Zeilinger
- Department of Biomedical Imaging and Image-guided Therapy, Division of Nuclear Medicine, Radiopharmacy and Experimental Nuclear Medicine, Waehringer Guertel 18-20, 1090, Vienna, Austria.,Faculty of Engineering, University of Applied Sciences Wiener Neustadt, Wiener Neustadt, Austria
| | - Florian Pichler
- Department of Biomedical Imaging and Image-guided Therapy, Division of Nuclear Medicine, Radiopharmacy and Experimental Nuclear Medicine, Waehringer Guertel 18-20, 1090, Vienna, Austria.,Faculty of Engineering, University of Applied Sciences Wiener Neustadt, Wiener Neustadt, Austria
| | - Lukas Nics
- Department of Biomedical Imaging and Image-guided Therapy, Division of Nuclear Medicine, Radiopharmacy and Experimental Nuclear Medicine, Waehringer Guertel 18-20, 1090, Vienna, Austria
| | - Wolfgang Wadsak
- Department of Biomedical Imaging and Image-guided Therapy, Division of Nuclear Medicine, Radiopharmacy and Experimental Nuclear Medicine, Waehringer Guertel 18-20, 1090, Vienna, Austria.,Department of Inorganic Chemistry, University of Vienna, Vienna, Austria
| | - Helmut Spreitzer
- Department of Pharmaceutical Chemistry, University of Vienna, Vienna, Austria
| | - Marcus Hacker
- Department of Biomedical Imaging and Image-guided Therapy, Division of Nuclear Medicine, Radiopharmacy and Experimental Nuclear Medicine, Waehringer Guertel 18-20, 1090, Vienna, Austria
| | - Markus Mitterhauser
- Department of Biomedical Imaging and Image-guided Therapy, Division of Nuclear Medicine, Radiopharmacy and Experimental Nuclear Medicine, Waehringer Guertel 18-20, 1090, Vienna, Austria. .,Department of Pharmaceutical Technology and Biopharmaceutics, University of Vienna, Vienna, Austria. .,Ludwig Boltzmann Institute for Applied Diagnostics, Vienna, Austria.
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Hahn A, Gryglewski G, Nics L, Hienert M, Rischka L, Vraka C, Sigurdardottir H, Vanicek T, James GM, Seiger R, Kautzky A, Silberbauer L, Wadsak W, Mitterhauser M, Hacker M, Kasper S, Lanzenberger R. Quantification of Task-Specific Glucose Metabolism with Constant Infusion of 18F-FDG. J Nucl Med 2016; 57:1933-1940. [DOI: 10.2967/jnumed.116.176156] [Citation(s) in RCA: 42] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2016] [Accepted: 06/07/2016] [Indexed: 11/16/2022] Open
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40
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Langsteger W, Rezaee A, Loidl W, Geinitz HS, Fitz F, Steinmair M, Broinger G, Pallwien-Prettner L, Beheshti M, Imamovic L, Beheshti M, Rendl G, Hackl D, Tsybrovsky O, Steinmair M, Emmanuel K, Moinfar F, Pirich C, Langsteger W, Bytyqi A, Karanikas G, Mayerhöfer M, Koperek O, Niederle B, Hartenbach M, Beyer T, Herrmann K, Czernin J, Rausch I, Rust P, DiFranco MD, Lassen M, Stadlbauer A, Mayerhöfer ME, Hartenbach M, Hacker M, Beyer T, Binzel K, Magnussen R, Wei W, Knopp MU, Flanigan DC, Kaeding C, Knopp MV, Leisser A, Nejabat M, Hartenbach M, Kramer G, Krainer M, Hacker M, Haug A, Lehnert W, Schmidt K, Kimiaei S, Bronzel M, Kluge A, Wright CL, Binzel K, Zhang J, Wuthrick E, Maniawski P, Knopp MV, Blaickner M, Rados E, Huber A, Dulovits M, Kulkarni H, Wiessalla S, Schuchardt C, Baum RP, Knäusl B, Georg D, Bauer M, Wulkersdorfer B, Wadsak W, Philippe C, Haslacher H, Zeitlinger M, Langer O, Bauer M, Feldmann M, Karch R, Wadsak W, Zeitlinger M, Koepp MJ, Asselin MC, Pataraia E, Langer O, Zeilinger M, Philippe C, Dumanic M, Pichler F, Pilz J, Hacker M, Wadsak W, Mitterhauser M, Nics L, Steiner B, Hacker M, Mitterhauser M, Wadsak W, Traxl A, Wanek T, Kryeziu K, Mairinger S, Stanek J, Berger W, Kuntner C, Langer O, Mairinger S, Wanek T, Traxl A, Krohn M, Stanek J, Filip T, Sauberer M, Kuntner C, Pahnke J, Langer O, Svatunek D, Denk C, Wilkovitsch M, Wanek T, Filip T, Kuntner-Hannes C, Fröhlich J, Mikula H, Denk C, Svatunek D, Wanek T, Mairinger S, Stanek J, Filip T, Fröhlich J, Mikula H, Kuntner-Hannes C, Balber T, Singer J, Fazekas J, Rami-Mark C, Berroterán-Infante N, Jensen-Jarolim E, Wadsak W, Hacker M, Viernstein H, Mitterhauser M, Denk C, Svatunek D, Sohr B, Mikula H, Fröhlich J, Wanek T, Kuntner-Hannes C, Filip T, Pfaff S, Philippe C, Mitterhauser M, Hartenbach M, Hacker M, Wadsak W, Wanek T, Halilbasic E, Visentin M, Mairinger S, Stieger B, Kuntner C, Trauner M, Langer O, Lam P, Aistleitner M, Eichinger R, Artner C, Eidherr H, Vraka C, Haug A, Mitterhauser M, Nics L, Hartenbach M, Hacker M, Wadsak W, Kvaternik H, Müller R, Hausberger D, Zink C, Aigner RM, Cossío U, Asensio M, Montes A, Akhtar S, Te Welscher Y, van Nostrum R, Gómez-Vallejo V, Llop J, VandeVyver F, Barclay T, Lippens N, Troch M, Hehenwarter L, Egger B, Holzmannhofer J, Rodrigues-Radischat M, Pirich C, Pötsch N, Rausch I, Wilhelm D, Weber M, Furtner J, Karanikas G, Wöhrer A, Mitterhauser M, Hacker M, Traub-Weidinger T, Cassou-Mounat T, Balogova S, Nataf V, Calzada M, Huchet V, Kerrou K, Devaux JY, Mohty M, Garderet L, Talbot JN, Stanzel S, Pregartner G, Schwarz T, Bjelic-Radisic V, Liegl-Atzwanger B, Aigner R, Stanzel S, Quehenberger F, Aigner RM, Marković AK, Janković M, Jerković VM, Paskaš M, Pupić G, Džodić R, Popović D, Fornito MC, Familiari D, Koranda P, Polzerová H, Metelková I, Henzlová L, Formánek R, Buriánková E, Kamínek M, Thomson WH, Lewis C, Thomson WH, O'Brien J, James G, Notghi A, Huber H, Stelzmüller I, Wunn R, Mandl M, Fellner F, Lamprecht B, Gabriel M, Fornito MC, Leonardi G, Thomson WH, O'Brien J, James G, Hudzietzová J, Sabol J, Fülöp M. 32nd International Austrian Winter Symposium : Zell am See, the Netherlands. 20-23 January 2016. EJNMMI Res 2016; 6:32. [PMID: 27090254 PMCID: PMC4835428 DOI: 10.1186/s13550-016-0168-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2016] [Accepted: 01/28/2016] [Indexed: 11/22/2022] Open
Abstract
A1 68Ga-PSMA PET/CT in staging and restaging of Prostate Cancer Patients: comparative study with 18F-Choline PET/CT W Langsteger, A Rezaee, W Loidl, HS Geinitz, F Fitz, M Steinmair, G Broinger, L Pallwien-Prettner, M Beheshti A2 F18 Choline PET – CT: an accurate diagnostic tool for the detection of parathyroid adenoma? L Imamovic, M Beheshti, G Rendl, D Hackl, O Tsybrovsky, M Steinmair, K Emmanuel, F Moinfar, C Pirich, W Langsteger A3 [18F]Fluoro-DOPA-PET/CT in the primary diagnosis of medullary thyroid carcinoma A Bytyqi, G Karanikas, M Mayerhöfer, O Koperek, B Niederle, M Hartenbach A4 Variations of clinical PET/MR operations: An international survey on the clinical utilization of PET/MRI T Beyer, K Herrmann, J Czernin A5 Standard Dixon-based attenuation correction in combined PET/MRI: Reproducibility and the possibility of Lean body mass estimation I Rausch, P Rust, MD DiFranco, M Lassen, A Stadlbauer, ME Mayerhöfer, M Hartenbach, M Hacker, T Beyer A6 High resolution digital FDG PET/MRI imaging for assessment of ACL graft viability K Binzel, R Magnussen, W Wei, MU Knopp, DC Flanigan, C Kaeding, MV Knopp A7 Using pre-existing hematotoxicity as predictor for severe side effects and number of treatment cycles of Xofigo therapy A Leisser, M Nejabat, M Hartenbach, G Kramer, M Krainer, M Hacker, A Haug A8 QDOSE – comprehensive software solution for internal dose assessment Wencke Lehnert, Karl Schmidt, Sharok Kimiaei, Marcus Bronzel, Andreas Kluge A9 Clinical impact of Time-of-Flight on next-generation digital PET imaging of Yttrium-90 radioactivity following liver radioembolization CL Wright, K Binzel, J Zhang, Evan Wuthrick, Piotr Maniawski, MV Knopp A10 Snakes in patients! Lessons learned from programming active contours for automated organ segmentation M Blaickner, E Rados, A Huber, M Dulovits, H Kulkarni, S Wiessalla, C Schuchardt, RP Baum, B Knäusl, D Georg A11 Influence of a genetic polymorphism on brain uptake of the dual ABCB1/ABCG2 substrate [11C]tariquidar M Bauer, B Wulkersdorfer, W Wadsak, C Philippe, H Haslacher, M Zeitlinger, O Langer A12 Outcome prediction of temporal lobe epilepsy surgery from P-glycoprotein activity. Pooled analysis of (R)-[11C]-verapamil PET data from two European centres M Bauer, M Feldmann, R Karch, W Wadsak, M Zeitlinger, MJ Koepp, M-C Asselin, E Pataraia, O Langer A13 In-vitro and in-vivo characterization of [18F]FE@SNAP and derivatives for the visualization of the melanin concentrating hormone receptor 1 M Zeilinger, C Philippe, M Dumanic, F Pichler, J Pilz, M Hacker, W Wadsak, M Mitterhauser A14 Reducing time in quality control leads to higher specific radioactivity of short-lived radiotracers L Nics, B Steiner, M Hacker, M Mitterhauser, W Wadsak A15 In vitro 11C-erlotinib binding experiments in cancer cell lines with epidermal growth factor receptor mutations A Traxl, Thomas Wanek, Kushtrim Kryeziu, Severin Mairinger, Johann Stanek, Walter Berger, Claudia Kuntner, Oliver Langer A16 7-[11C]methyl-6-bromopurine, a PET tracer to measure brain Mrp1 function: radiosynthesis and first PET evaluation in mice S Mairinger, T Wanek, A Traxl, M Krohn, J Stanek, T Filip, M Sauberer, C Kuntner, J Pahnke, O Langer A17 18F labeled azidoglucose derivatives as “click” agents for pretargeted PET imaging D Svatunek, C Denk, M Wilkovitsch, T Wanek, T Filip, C Kuntner-Hannes, J Fröhlich, H Mikula A18 Bioorthogonal tools for PET imaging: development of radiolabeled 1,2,4,5-Tetrazines C Denk, D Svatunek, T Wanek, S Mairinger, J Stanek, T Filip, J Fröhlich, H Mikula, C Kuntner-Hannes A19 Preclinical evaluation of [18F]FE@SUPPY- a new PET-tracer for oncology T Balber, J Singer, J Fazekas, C Rami-Mark, N Berroterán-Infante, E Jensen-Jarolim, W Wadsak, M Hacker, H Viernstein, M Mitterhauser A20 Investigation of Small [18F]-Fluoroalkylazides for Rapid Radiolabeling and In Vivo Click Chemistry C Denk, D Svatunek, B Sohr, H Mikula, J Fröhlich, T Wanek, C Kuntner-Hannes, T Filip A21 Microfluidic 68Ga-radiolabeling of PSMA-HBED-CC using a flow-through reactor S Pfaff, C Philippe, M Mitterhauser, M Hartenbach, M Hacker, W Wadsak A22 Influence of 24-nor-ursodeoxycholic acid on hepatic disposition of [18F]ciprofloxacin measured with positron emission tomography T Wanek, E Halilbasic, M Visentin, S Mairinger, B Stieger, C Kuntner, M Trauner, O Langer A23 Automated 18F-flumazenil production using chemically resistant disposable cassettes P Lam, M Aistleitner, R Eichinger, C Artner A24 Similarities and differences in the synthesis and quality control of 177Lu-DOTA-TATE, 177Lu -HA-DOTA-TATE and 177Lu-DOTA-PSMA (PSMA-617) H Eidherr, C Vraka, A Haug, M Mitterhauser, L Nics, M Hartenbach, M Hacker, W Wadsak A25 68Ga- and 177Lu-labelling of PSMA-617 H Kvaternik, R Müller, D Hausberger, C Zink, RM Aigner A26 Radiolabelling of liposomes with 67Ga and biodistribution studies after administration by an aerosol inhalation system U Cossío, M Asensio, A Montes, S Akhtar, Y te Welscher, R van Nostrum, V Gómez-Vallejo, J Llop A27 Fully automated quantification of DaTscan SPECT: Integration of age and gender differences F VandeVyver, T Barclay, N Lippens, M Troch A28 Lesion-to-background ratio in co-registered 18F-FET PET/MR imaging – is it a valuable tool to differentiate between low grade and high grade brain tumor? L Hehenwarter, B Egger, J Holzmannhofer, M Rodrigues-Radischat, C Pirich A29 [11C]-methionine PET in gliomas - a retrospective data analysis of 166 patients N Pötsch, I Rausch, D Wilhelm, M Weber, J Furtner, G Karanikas, A Wöhrer, M Mitterhauser, M Hacker, T Traub-Weidinger A30 18F-Fluorocholine versus 18F-Fluorodeoxyglucose for PET/CT imaging in patients with relapsed or progressive multiple myeloma: a pilot study T Cassou-Mounat, S Balogova, V Nataf, M Calzada, V Huchet, K Kerrou, J-Y Devaux, M Mohty, L Garderet, J-N Talbot A31 Prognostic benefit of additional SPECT/CT in sentinel lymph node mapping of breast cancer patients S Stanzel, G Pregartner, T Schwarz, V Bjelic-Radisic, B Liegl-Atzwanger, R Aigner A32 Evaluation of diagnostic value of TOF-18F-FDG PET/CT in patients with suspected pancreatic cancer S Stanzel, F Quehenberger, RM Aigner A33 New quantification method for diagnosis of primary hyperpatahyroidism lesions and differential diagnosis vs thyropid nodular disease in dynamic scintigraphy A Koljević Marković, Milica Janković, V Miler Jerković, M Paskaš, G Pupić, R Džodić, D Popović A34 A rare case of diffuse pancreatic involvement in patient with merkel cell carcinoma detected by 18F-FDG MC Fornito, D Familiari A35 TSH-stimulated 18F-FDG PET/CT in the diagnosis of recurrent/metastatic radioiodine-negative differentiated thyroid carcinomas in patients with various thyroglobuline levels P Koranda, H Polzerová, I Metelková, L Henzlová, R Formánek, E Buriánková, M Kamínek A36 Breast Dose from lactation following I131 treatment WH Thomson, C Lewis A37 A new concept for performing SeHCAT studies with the gamma camera WH Thomson, J O’Brien, G James, A Notghi A38 Whole body F-18-FDG-PET and tuberculosis: sensitivity compared to x-ray-CT H Huber, I Stelzmüller, R Wunn, M Mandl, F Fellner, B Lamprecht, M Gabriel A39 Emerging role 18F-FDG PET-CT in the diagnosis and follow-up of the infection in heartware ventricular assist system (HVAD) MC Fornito, G Leonardi A40 Validation of Poisson resampling software WH Thomson, J O’Brien, G James A41 Protection of PET nuclear medicine personnel: problems in satisfying dose limit requirements J Hudzietzová, J Sabol, M Fülöp
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Affiliation(s)
- W Langsteger
- PET-CT Center Linz, Department of Nuclear Medicine & Endocrinology, St Vincent's Hospital, Linz, Austria
| | - A Rezaee
- PET-CT Center Linz, Department of Nuclear Medicine & Endocrinology, St Vincent's Hospital, Linz, Austria
| | - W Loidl
- Prostate Cancer Center Linz, Department of Urology, St Vincent's Hospital, Linz, Austria
| | - H S Geinitz
- Department of Radiation Oncology, St Vincent's Hospital, Linz, Austria
| | - F Fitz
- PET-CT Center Linz, Department of Nuclear Medicine & Endocrinology, St Vincent's Hospital, Linz, Austria
| | - M Steinmair
- PET-CT Center Linz, Department of Nuclear Medicine & Endocrinology, St Vincent's Hospital, Linz, Austria
| | - G Broinger
- Department of Radiology, St Vincent's Hospital, Linz, Austria
| | - L Pallwien-Prettner
- PET - CT Center Linz & Department of Nuclear Medicine & Endocrinology, St Vincent's Hospital, Linz, Austria
| | - M Beheshti
- PET-CT Center Linz, Department of Nuclear Medicine & Endocrinology, St Vincent's Hospital, Linz, Austria
| | - L Imamovic
- PET - CT Center Linz & Department of Nuclear Medicine & Endocrinology, St Vincent's Hospital, Linz, Austria
| | - M Beheshti
- PET - CT Center Linz & Department of Nuclear Medicine & Endocrinology, St Vincent's Hospital, Linz, Austria
| | - G Rendl
- Department of Nuclear Medicine and Endocrinology, Paracelsus Private Medical University Salzburg, St Vincent's Hospital, Linz, Austria
| | - D Hackl
- Department of Surgery, St Vincent's Hospital, Linz, Austria
| | - O Tsybrovsky
- Department of Pathology, St Vincent's Hospital, Linz, Austria
| | - M Steinmair
- PET - CT Center Linz & Department of Nuclear Medicine & Endocrinology, St Vincent's Hospital, Linz, Austria
| | - K Emmanuel
- Department of Surgery, St Vincent's Hospital, Linz, Austria
| | - F Moinfar
- Department of Pathology, St Vincent's Hospital, Linz, Austria
| | - C Pirich
- Department of Nuclear Medicine and Endocrinology, Paracelsus Private Medical University Salzburg, St Vincent's Hospital, Linz, Austria
| | - W Langsteger
- PET - CT Center Linz & Department of Nuclear Medicine & Endocrinology, St Vincent's Hospital, Linz, Austria
| | - A Bytyqi
- PET-CT Center Linz, Department of Nuclear Medicine & Endocrinology, St Vincent's Hospital, Linz, Austria
| | - G Karanikas
- Medical University of Vienna, Division of Nuclear Medicine, Vienna, Austria
| | - M Mayerhöfer
- Medical University of Vienna, Division of General and Pediatric Radiology, Vienna, Austria
| | - O Koperek
- Medical University of Vienna, Institute of Pathology, Vienna, Austria
| | - B Niederle
- Medical University Vienna, Division of Surgical Endocrinology, Vienna, Austria
| | - M Hartenbach
- Medical University of Vienna, Division of Nuclear Medicine, Vienna, Austria
| | - T Beyer
- QIMP, CMPBME, Medical University of Vienna, ᅟ, Austria
| | - K Herrmann
- Department of Nuclear Medicine, University of Würzburg, ᅟ, Germany.,Department of Molecular and Medical Pharmacology, UCLA, ᅟ, USA
| | - J Czernin
- Department of Molecular and Medical Pharmacology, UCLA, ᅟ, USA
| | - I Rausch
- Center for Medical Physics and Biomedical Engineering, Medical University of Vienna, ᅟ, Austria
| | - P Rust
- Department of Nutritional Sciences, University of Vienna, ᅟ, Austria
| | - M D DiFranco
- Center for Medical Physics and Biomedical Engineering, Medical University of Vienna, ᅟ, Austria
| | - M Lassen
- Center for Medical Physics and Biomedical Engineering, Medical University of Vienna, ᅟ, Austria
| | - A Stadlbauer
- Division of General and Pediatric Radiology, Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, ᅟ, Austria
| | - M E Mayerhöfer
- Division of General and Pediatric Radiology, Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, ᅟ, Austria
| | - M Hartenbach
- Division of Nuclear Medicine, Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, ᅟ, Austria
| | - M Hacker
- Division of Nuclear Medicine, Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, ᅟ, Austria
| | - T Beyer
- Center for Medical Physics and Biomedical Engineering, Medical University of Vienna, ᅟ, Austria
| | - K Binzel
- Wright Center of Innovation in Biomedical Imaging, The Ohio State University, Columbus, OH, USA
| | - R Magnussen
- Sports Medicine, The Ohio State University, Columbus, OH, USA
| | - W Wei
- Wright Center of Innovation in Biomedical Imaging, The Ohio State University, Columbus, OH, USA
| | - M U Knopp
- Sports Medicine, Pepperdine University, Malibu, CA, USA
| | - D C Flanigan
- Sports Medicine, The Ohio State University, Columbus, OH, USA
| | - C Kaeding
- Sports Medicine, The Ohio State University, Columbus, OH, USA
| | - M V Knopp
- Wright Center of Innovation in Biomedical Imaging, The Ohio State University, Columbus, OH, USA
| | - A Leisser
- Division of Nuclear Medicine, Medical University of Vienna, ᅟ, Austria
| | - M Nejabat
- Division of Nuclear Medicine, Medical University of Vienna, ᅟ, Austria
| | - M Hartenbach
- Division of Nuclear Medicine, Medical University of Vienna, ᅟ, Austria
| | - G Kramer
- Division of Nuclear Medicine, Medical University of Vienna, ᅟ, Austria
| | - M Krainer
- Division of Nuclear Medicine, Medical University of Vienna, ᅟ, Austria
| | - M Hacker
- Division of Nuclear Medicine, Medical University of Vienna, ᅟ, Austria
| | - A Haug
- Division of Nuclear Medicine, Medical University of Vienna, ᅟ, Austria
| | - Wencke Lehnert
- ABX-CRO advanced pharmaceutical services (Forschungsgesellschaft mbH), Dresden, Germany
| | - Karl Schmidt
- ABX-CRO advanced pharmaceutical services (Forschungsgesellschaft mbH), Dresden, Germany
| | - Sharok Kimiaei
- ABX-CRO advanced pharmaceutical services (Forschungsgesellschaft mbH), Dresden, Germany
| | - Marcus Bronzel
- ABX-CRO advanced pharmaceutical services (Forschungsgesellschaft mbH), Dresden, Germany
| | - Andreas Kluge
- ABX-CRO advanced pharmaceutical services (Forschungsgesellschaft mbH), Dresden, Germany
| | - C L Wright
- Wright Center of Innovation in Biomedical Imaging, The Ohio State University, Columbus, OH, USA
| | - K Binzel
- Wright Center of Innovation in Biomedical Imaging, The Ohio State University, Columbus, OH, USA
| | - J Zhang
- Wright Center of Innovation in Biomedical Imaging, The Ohio State University, Columbus, OH, USA
| | - Evan Wuthrick
- Radiation Oncology, Wexner Medical Center at The Ohio State University, Columbus, OH, USA
| | - Piotr Maniawski
- Clinical Science - Nuclear Medicine, Philips Healthcare, Cleveland, OH, USA
| | - M V Knopp
- Wright Center of Innovation in Biomedical Imaging, The Ohio State University, Columbus, OH, USA
| | - M Blaickner
- AIT Austrian Institute of Technology, Health & Environment Department -Biomedical Systems, Vienna, Austria
| | - E Rados
- AIT Austrian Institute of Technology, Health & Environment Department -Biomedical Systems, Vienna, Austria
| | - A Huber
- AIT Austrian Institute of Technology, Health & Environment Department -Biomedical Systems, Vienna, Austria
| | - M Dulovits
- Woogieworks Animation Studio, Perchtoldsdorf, Austria
| | - H Kulkarni
- THERANOSTICS Center for Molecular Radiotherapy and Molecular Imaging (PET/CT) ENETS Center of Excellence, Zentralklinik Bad Berka, ᅟ, Germany
| | - S Wiessalla
- THERANOSTICS Center for Molecular Radiotherapy and Molecular Imaging (PET/CT) ENETS Center of Excellence, Zentralklinik Bad Berka, ᅟ, Germany
| | - C Schuchardt
- THERANOSTICS Center for Molecular Radiotherapy and Molecular Imaging (PET/CT) ENETS Center of Excellence, Zentralklinik Bad Berka, ᅟ, Germany
| | - R P Baum
- THERANOSTICS Center for Molecular Radiotherapy and Molecular Imaging (PET/CT) ENETS Center of Excellence, Zentralklinik Bad Berka, ᅟ, Germany
| | - B Knäusl
- Department of Radiation Oncology, Division of Medical Radiation Physics, Christian Doppler Laboratory for Medical Radiation Research for Radiation Oncology, Medical University of Vienna, ᅟ, Austria
| | - D Georg
- Department of Radiation Oncology, Division of Medical Radiation Physics, Christian Doppler Laboratory for Medical Radiation Research for Radiation Oncology, Medical University of Vienna, ᅟ, Austria
| | - M Bauer
- Department of Clinical Pharmacology, Medical University of Vienna, Vienna, Austria
| | - B Wulkersdorfer
- Department of Clinical Pharmacology, Medical University of Vienna, Vienna, Austria
| | - W Wadsak
- Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Vienna, Austria
| | - C Philippe
- Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Vienna, Austria
| | - H Haslacher
- Department of Laboratory Medicine, Medical University of Vienna, Vienna, Austria
| | - M Zeitlinger
- Department of Clinical Pharmacology, Medical University of Vienna, Vienna, Austria
| | - O Langer
- Department of Clinical Pharmacology, Medical University of Vienna, Vienna, Austria.,Health and Environment Department, AIT Austrian Institute of Technology GmbH, Seibersdorf, Austria
| | - M Bauer
- Department of Clinical Pharmacology, Medical University of Vienna, Vienna, Austria.,Wolfson Molecular Imaging Centre, University of Manchester, Manchester, UK
| | - M Feldmann
- Wolfson Molecular Imaging Centre, University of Manchester, Manchester, UK.,University College London, London, UK
| | - R Karch
- Center for Medical Statistics, Informatics, and Intelligent Systems, Medical University of Vienna, Vienna, Austria
| | - W Wadsak
- Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Vienna, Austria
| | - M Zeitlinger
- Department of Clinical Pharmacology, Medical University of Vienna, Vienna, Austria
| | - M J Koepp
- University College London, London, UK
| | - M-C Asselin
- Wolfson Molecular Imaging Centre, University of Manchester, Manchester, UK
| | - E Pataraia
- Department of Neurology, Medical University of Vienna, Vienna, Austria
| | - O Langer
- Department of Clinical Pharmacology, Medical University of Vienna, Vienna, Austria
| | - M Zeilinger
- Department of Biomedical Imaging and Image-guided Therapy, Division of Nuclear Medicine, Radiopharmacy and Experimental Nuclear Medicine, Medical University of Vienna, ᅟ, Austria
| | - C Philippe
- Department of Biomedical Imaging and Image-guided Therapy, Division of Nuclear Medicine, Radiopharmacy and Experimental Nuclear Medicine, Medical University of Vienna, ᅟ, Austria
| | - M Dumanic
- Department of Biomedical Imaging and Image-guided Therapy, Division of Nuclear Medicine, Radiopharmacy and Experimental Nuclear Medicine, Medical University of Vienna, ᅟ, Austria
| | - F Pichler
- Department of Biomedical Imaging and Image-guided Therapy, Division of Nuclear Medicine, Radiopharmacy and Experimental Nuclear Medicine, Medical University of Vienna, ᅟ, Austria
| | - J Pilz
- Department of Biomedical Imaging and Image-guided Therapy, Division of Nuclear Medicine, Radiopharmacy and Experimental Nuclear Medicine, Medical University of Vienna, ᅟ, Austria
| | - M Hacker
- Department of Biomedical Imaging and Image-guided Therapy, Division of Nuclear Medicine, Radiopharmacy and Experimental Nuclear Medicine, Medical University of Vienna, ᅟ, Austria
| | - W Wadsak
- Department of Biomedical Imaging and Image-guided Therapy, Division of Nuclear Medicine, Radiopharmacy and Experimental Nuclear Medicine, Medical University of Vienna, ᅟ, Austria
| | - M Mitterhauser
- Department of Biomedical Imaging and Image-guided Therapy, Division of Nuclear Medicine, Radiopharmacy and Experimental Nuclear Medicine, Medical University of Vienna, ᅟ, Austria.,Ludwig Boltzmann Institute for Applied Diagnostics, Vienna, Austria
| | - L Nics
- Department of Biomedical Imaging and Image guided Therapy, Division of Nuclear Medicine, Medical University of Vienna, ᅟ, Austria
| | - B Steiner
- Department of Biomedical Imaging and Image guided Therapy, Division of Nuclear Medicine, Medical University of Vienna, ᅟ, Austria
| | - M Hacker
- Department of Biomedical Imaging and Image guided Therapy, Division of Nuclear Medicine, Medical University of Vienna, ᅟ, Austria
| | - M Mitterhauser
- Ludwig Boltzmann Institute for Applied Diagnostics, Vienna, Austria
| | - W Wadsak
- Department of Biomedical Imaging and Image guided Therapy, Division of Nuclear Medicine, Medical University of Vienna, ᅟ, Austria
| | - A Traxl
- Biomedical Systems, Health & Environment Department, AIT Austrian Institute of Technology GmbH, Seibersdorf, Austria
| | - Thomas Wanek
- Biomedical Systems, Health & Environment Department, AIT Austrian Institute of Technology GmbH, Seibersdorf, Austria
| | - Kushtrim Kryeziu
- Institute of Cancer Research, Department of Medicine I, Medical University of Vienna, Vienna, Austria
| | - Severin Mairinger
- Biomedical Systems, Health & Environment Department, AIT Austrian Institute of Technology GmbH, Seibersdorf, Austria
| | - Johann Stanek
- Biomedical Systems, Health & Environment Department, AIT Austrian Institute of Technology GmbH, Seibersdorf, Austria.,Department of Clinical Pharmacology, Medical University of Vienna, Vienna, Austria
| | - Walter Berger
- Institute of Cancer Research, Department of Medicine I, Medical University of Vienna, Vienna, Austria
| | - Claudia Kuntner
- Biomedical Systems, Health & Environment Department, AIT Austrian Institute of Technology GmbH, Seibersdorf, Austria
| | - Oliver Langer
- Biomedical Systems, Health & Environment Department, AIT Austrian Institute of Technology GmbH, Seibersdorf, Austria.,Department of Clinical Pharmacology, Medical University of Vienna, Vienna, Austria
| | - S Mairinger
- Health & Environment Department, AIT Austrian Institute of Technology GmbH, Seibersdorf, Austria
| | - T Wanek
- Health & Environment Department, AIT Austrian Institute of Technology GmbH, Seibersdorf, Austria
| | - A Traxl
- Health & Environment Department, AIT Austrian Institute of Technology GmbH, Seibersdorf, Austria
| | - M Krohn
- Department of Neuro-/Pathology, University of Oslo (UiO) and Oslo University Hospital (OUS), Oslo, Norway
| | - J Stanek
- Health & Environment Department, AIT Austrian Institute of Technology GmbH, Seibersdorf, Austria
| | - T Filip
- Health & Environment Department, AIT Austrian Institute of Technology GmbH, Seibersdorf, Austria
| | - M Sauberer
- Health & Environment Department, AIT Austrian Institute of Technology GmbH, Seibersdorf, Austria
| | - C Kuntner
- Health & Environment Department, AIT Austrian Institute of Technology GmbH, Seibersdorf, Austria
| | - J Pahnke
- Department of Neuro-/Pathology, University of Oslo (UiO) and Oslo University Hospital (OUS), Oslo, Norway
| | - O Langer
- Health & Environment Department, AIT Austrian Institute of Technology GmbH, Seibersdorf, Austria.,Department of Clinical Pharmacology, Medical University of Vienna, Vienna, Austria
| | - D Svatunek
- Institute of Applied Synthetic Chemistry, TU Wien, Vienna, Austria
| | - C Denk
- Institute of Applied Synthetic Chemistry, TU Wien, Vienna, Austria
| | - M Wilkovitsch
- Institute of Applied Synthetic Chemistry, TU Wien, Vienna, Austria
| | - T Wanek
- Austrian Institute of Technology, Vienna, Austria
| | - T Filip
- Austrian Institute of Technology, Vienna, Austria
| | | | - J Fröhlich
- Austrian Institute of Technology, Vienna, Austria
| | - H Mikula
- Institute of Applied Synthetic Chemistry, TU Wien, Vienna, Austria
| | - C Denk
- Institute of Applied Synthetic Chemistry, TU Wien, Vienna, Austria
| | - D Svatunek
- Institute of Applied Synthetic Chemistry, TU Wien, Vienna, Austria
| | - T Wanek
- Austrian Institute of Technology, Biomedical Systems, Vienna, Austria
| | - S Mairinger
- Austrian Institute of Technology, Biomedical Systems, Vienna, Austria
| | - J Stanek
- Austrian Institute of Technology, Biomedical Systems, Vienna, Austria
| | - T Filip
- Austrian Institute of Technology, Biomedical Systems, Vienna, Austria
| | - J Fröhlich
- Institute of Applied Synthetic Chemistry, TU Wien, Vienna, Austria
| | - H Mikula
- Institute of Applied Synthetic Chemistry, TU Wien, Vienna, Austria
| | - C Kuntner-Hannes
- Austrian Institute of Technology, Biomedical Systems, Vienna, Austria
| | - T Balber
- Biomedical Imaging and Image-Guided Therapy, Division of Nuclear Medicine, Medical University of Vienna, ᅟ, Austria
| | - J Singer
- Biomedical Imaging and Image-Guided Therapy, Division of Nuclear Medicine, Medical University of Vienna, ᅟ, Austria.,Department of Immunology and Oncology, Institute of Pathophysiology and Allergy Research, Center of Pathophysiology, Infectiology and Immunology, Medical University of Vienna, ᅟ, Austria.,Department of Comparative Medicine, Messerli Research Institute of the University of Veterinary Medicine Vienna, Medical University Vienna and University Vienna, ᅟ, Austria
| | - J Fazekas
- Department of Immunology and Oncology, Institute of Pathophysiology and Allergy Research, Center of Pathophysiology, Infectiology and Immunology, Medical University of Vienna, ᅟ, Austria.,Department of Comparative Medicine, Messerli Research Institute of the University of Veterinary Medicine Vienna, Medical University Vienna and University Vienna, ᅟ, Austria
| | - C Rami-Mark
- Biomedical Imaging and Image-Guided Therapy, Division of Nuclear Medicine, Medical University of Vienna, ᅟ, Austria
| | - N Berroterán-Infante
- Biomedical Imaging and Image-Guided Therapy, Division of Nuclear Medicine, Medical University of Vienna, ᅟ, Austria
| | - E Jensen-Jarolim
- Department of Immunology and Oncology, Institute of Pathophysiology and Allergy Research, Center of Pathophysiology, Infectiology and Immunology, Medical University of Vienna, ᅟ, Austria.,Department of Comparative Medicine, Messerli Research Institute of the University of Veterinary Medicine Vienna, Medical University Vienna and University Vienna, ᅟ, Austria
| | - W Wadsak
- Biomedical Imaging and Image-Guided Therapy, Division of Nuclear Medicine, Medical University of Vienna, ᅟ, Austria
| | - M Hacker
- Biomedical Imaging and Image-Guided Therapy, Division of Nuclear Medicine, Medical University of Vienna, ᅟ, Austria
| | - H Viernstein
- Department of Pharmaceutical Technology and Biopharmaceutics, Faculty of Life Sciences, University of Vienna, ᅟ, Austria
| | - M Mitterhauser
- Biomedical Imaging and Image-Guided Therapy, Division of Nuclear Medicine, Medical University of Vienna, ᅟ, Austria
| | - C Denk
- Institute of Applied Synthetic Chemistry, TU Wien, Vienna, Austria
| | - D Svatunek
- Institute of Applied Synthetic Chemistry, TU Wien, Vienna, Austria
| | - B Sohr
- Institute of Applied Synthetic Chemistry, TU Wien, Vienna, Austria
| | - H Mikula
- Institute of Applied Synthetic Chemistry, TU Wien, Vienna, Austria
| | - J Fröhlich
- Institute of Applied Synthetic Chemistry, TU Wien, Vienna, Austria
| | - T Wanek
- Austrian Institute of Technology, Biomedical Systems, Vienna, Austria
| | - C Kuntner-Hannes
- Austrian Institute of Technology, Biomedical Systems, Vienna, Austria
| | - T Filip
- Austrian Institute of Technology, Biomedical Systems, Vienna, Austria
| | - S Pfaff
- Department of Biomedical Imaging and Image-guided Therapy, Division of Nuclear Medicine, Medical University of Vienna, ᅟ, Austria.,Department of Inorganic Chemistry, University of Vienna, ᅟ, Austria
| | - C Philippe
- Department of Biomedical Imaging and Image-guided Therapy, Division of Nuclear Medicine, Medical University of Vienna, ᅟ, Austria
| | - M Mitterhauser
- Department of Biomedical Imaging and Image-guided Therapy, Division of Nuclear Medicine, Medical University of Vienna, ᅟ, Austria.,LBI for Applied Diagnostics, Vienna, Austria
| | - M Hartenbach
- Department of Biomedical Imaging and Image-guided Therapy, Division of Nuclear Medicine, Medical University of Vienna, ᅟ, Austria
| | - M Hacker
- Department of Biomedical Imaging and Image-guided Therapy, Division of Nuclear Medicine, Medical University of Vienna, ᅟ, Austria
| | - W Wadsak
- Department of Biomedical Imaging and Image-guided Therapy, Division of Nuclear Medicine, Medical University of Vienna, ᅟ, Austria.,Department of Inorganic Chemistry, University of Vienna, ᅟ, Austria
| | - T Wanek
- Health and Environment Department, Biomedical Systems, AIT Austrian Institute of Technology GmbH, Seibersdorf, Austria
| | - E Halilbasic
- Division of Gastroenterology and Hepatology, Department of Internal Medicine III, Medical University of Vienna, Vienna, Austria
| | - M Visentin
- Department of Clinical Pharmacology and Toxicology, University Hospital, Zurich, Switzerland
| | - S Mairinger
- Health and Environment Department, Biomedical Systems, AIT Austrian Institute of Technology GmbH, Seibersdorf, Austria
| | - B Stieger
- Department of Clinical Pharmacology and Toxicology, University Hospital, Zurich, Switzerland
| | - C Kuntner
- Health and Environment Department, Biomedical Systems, AIT Austrian Institute of Technology GmbH, Seibersdorf, Austria
| | - M Trauner
- Division of Gastroenterology and Hepatology, Department of Internal Medicine III, Medical University of Vienna, Vienna, Austria
| | - O Langer
- Health and Environment Department, Biomedical Systems, AIT Austrian Institute of Technology GmbH, Seibersdorf, Austria.,Department of Clinical Pharmacology, Medical University of Vienna, ᅟ, Austria
| | - P Lam
- IASON GmbH, Feldkirchnerstraße 4, A-8054, Graz-Seiersberg, Austria
| | - M Aistleitner
- IASON GmbH, Feldkirchnerstraße 4, A-8054, Graz-Seiersberg, Austria
| | - R Eichinger
- IASON GmbH, Feldkirchnerstraße 4, A-8054, Graz-Seiersberg, Austria
| | - C Artner
- IASON GmbH, Feldkirchnerstraße 4, A-8054, Graz-Seiersberg, Austria
| | - H Eidherr
- Department of Biomedical Imaging and Image-guided Therapy, Division of Nuclear Medicine, Medical University of Vienna, ᅟ, Austria
| | - C Vraka
- Department of Biomedical Imaging and Image-guided Therapy, Division of Nuclear Medicine, Medical University of Vienna, ᅟ, Austria.,Department of Nutritional Sciences, Faculty of Life Sciences, University of Vienna, ᅟ, Austria
| | - A Haug
- Department of Biomedical Imaging and Image-guided Therapy, Division of Nuclear Medicine, Medical University of Vienna, ᅟ, Austria
| | - M Mitterhauser
- Department of Biomedical Imaging and Image-guided Therapy, Division of Nuclear Medicine, Medical University of Vienna, ᅟ, Austria.,LBI for Applied Diagnostics, Vienna, Austria
| | - L Nics
- Department of Biomedical Imaging and Image-guided Therapy, Division of Nuclear Medicine, Medical University of Vienna, ᅟ, Austria.,Department of Nutritional Sciences, Faculty of Life Sciences, University of Vienna, ᅟ, Austria
| | - M Hartenbach
- Department of Biomedical Imaging and Image-guided Therapy, Division of Nuclear Medicine, Medical University of Vienna, ᅟ, Austria
| | - M Hacker
- Department of Biomedical Imaging and Image-guided Therapy, Division of Nuclear Medicine, Medical University of Vienna, ᅟ, Austria
| | - W Wadsak
- Department of Biomedical Imaging and Image-guided Therapy, Division of Nuclear Medicine, Medical University of Vienna, ᅟ, Austria
| | - H Kvaternik
- Department of Radiology, Division of Nuclear Medicine, Medical University of Graz, ᅟ, Austria
| | - R Müller
- Seibersdorf Labor GmbH, ᅟ, Austria
| | - D Hausberger
- Department of Radiology, Division of Nuclear Medicine, Medical University of Graz, ᅟ, Austria
| | - C Zink
- Department of Radiology, Division of Nuclear Medicine, Medical University of Graz, ᅟ, Austria
| | - R M Aigner
- Department of Radiology, Division of Nuclear Medicine, Medical University of Graz, ᅟ, Austria
| | - U Cossío
- CIC biomaGUNE, Edificio Empresarial "C", Paseo de Miramón 182, 20009, Donostia, Spain
| | - M Asensio
- Engineering Department, Ingeniatrics Tecnologies, P.I. Parque Plata, Camino Mozárabe 41, 41900, Camas-Sevilla, Spain
| | - A Montes
- Engineering Department, Ingeniatrics Tecnologies, P.I. Parque Plata, Camino Mozárabe 41, 41900, Camas-Sevilla, Spain
| | - S Akhtar
- Department of Pharmaceutics, University of Utrecht, Utrecht, The Netherlands
| | - Y Te Welscher
- Department of Pharmaceutics, University of Utrecht, Utrecht, The Netherlands
| | - R van Nostrum
- Department of Pharmaceutics, University of Utrecht, Utrecht, The Netherlands
| | - V Gómez-Vallejo
- CIC biomaGUNE, Edificio Empresarial "C", Paseo de Miramón 182, 20009, Donostia, Spain
| | - J Llop
- CIC biomaGUNE, Edificio Empresarial "C", Paseo de Miramón 182, 20009, Donostia, Spain
| | | | | | | | - M Troch
- AZ St-Lucas Gent, ᅟ, Belgium
| | - L Hehenwarter
- Department of Nuclear Medicine and Endocrinology, University Hospital Salzburg, Paracelsus Private Medical University Salzburg, ᅟ, Germany
| | - B Egger
- Department of Nuclear Medicine and Endocrinology, University Hospital Salzburg, Paracelsus Private Medical University Salzburg, ᅟ, Germany
| | - J Holzmannhofer
- Department of Nuclear Medicine and Endocrinology, University Hospital Salzburg, Paracelsus Private Medical University Salzburg, ᅟ, Germany
| | - M Rodrigues-Radischat
- Department of Nuclear Medicine and Endocrinology, University Hospital Salzburg, Paracelsus Private Medical University Salzburg, ᅟ, Germany
| | - C Pirich
- Department of Nuclear Medicine and Endocrinology, University Hospital Salzburg, Paracelsus Private Medical University Salzburg, ᅟ, Germany
| | - N Pötsch
- Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Vienna, Austria
| | - I Rausch
- Center for Medical Physics and Biomedical Engineering, Medical University of Vienna, Vienna, Austria
| | - D Wilhelm
- Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Vienna, Austria
| | - M Weber
- Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Vienna, Austria
| | - J Furtner
- Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Vienna, Austria
| | - G Karanikas
- Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Vienna, Austria
| | - A Wöhrer
- Institute of Neurology, Medical University of Vienna, Vienna, Austria
| | - M Mitterhauser
- Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Vienna, Austria
| | - M Hacker
- Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Vienna, Austria
| | - T Traub-Weidinger
- Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Vienna, Austria
| | - T Cassou-Mounat
- Department of Nuclear Medicine, Hôpital Saint Antoine, AP-HP et Université Pierre et Marie Curie (UPMC), Paris, France.,Department of Nuclear Medicine, Hôpital Tenon, AP-HP & Université Pierre et Marie Curie (UPMC), Paris, France
| | - S Balogova
- Department of Nuclear Medicine, Hôpital Tenon, AP-HP & Université Pierre et Marie Curie (UPMC), Paris, France.,Department of Nuclear Medicine, Comenius university & St. Elisabeth Oncology Institute, Bratislava, Slovakia
| | - V Nataf
- Radiopharmacy, Hôpital Tenon, AP-HP, Paris, France
| | - M Calzada
- Department of Nuclear Medicine, Hôpital Saint Antoine, AP-HP et Université Pierre et Marie Curie (UPMC), Paris, France
| | - V Huchet
- Department of Nuclear Medicine, Hôpital Tenon, AP-HP & Université Pierre et Marie Curie (UPMC), Paris, France
| | - K Kerrou
- Department of Nuclear Medicine, Hôpital Tenon, AP-HP & Université Pierre et Marie Curie (UPMC), Paris, France
| | - J-Y Devaux
- Department of Nuclear Medicine, Hôpital Saint Antoine, AP-HP et Université Pierre et Marie Curie (UPMC), Paris, France
| | - M Mohty
- Hematology, Université Pierre et Marie Curie, Paris, France.,Hôpital Saint-Antoine, AP-HP, Paris, France.,INSERM UMRs U938, Paris, France
| | - L Garderet
- Hematology, Université Pierre et Marie Curie, Paris, France
| | - J-N Talbot
- Department of Nuclear Medicine, Hôpital Tenon, AP-HP & Université Pierre et Marie Curie (UPMC), Paris, France
| | - S Stanzel
- Medical University of Graz, Department of Radiology, Division of Nuclear Medicine, ᅟ, Austria
| | - G Pregartner
- Medical University of Graz, Institute for Medical Informatics, Statistics and Documentation, ᅟ, Austria
| | - T Schwarz
- Medical University of Graz, Department of Radiology, Division of Nuclear Medicine, ᅟ, Austria
| | - V Bjelic-Radisic
- Medical University of Graz, Department of Gynecology and Obstetrics, ᅟ, Austria
| | | | - R Aigner
- Medical University of Graz, Department of Radiology, Division of Nuclear Medicine, ᅟ, Austria
| | - S Stanzel
- Medical University of Graz, Department of Radiology, Division of Nuclear Medicine, ᅟ, Austria
| | - F Quehenberger
- Institute for Medical Informatics, Statistics, and Documentation, ᅟ, Austria
| | - R M Aigner
- Medical University of Graz, Department of Radiology, Division of Nuclear Medicine, ᅟ, Austria
| | - A Koljević Marković
- Institute of Oncology and Radiology of Serbia, Pasterova 14, 11000, Belgrade, Serbia
| | - Milica Janković
- National Cancer Research Center Serbia, University of Belgrade- School of Electrical Engineering, ᅟ, Serbia
| | - V Miler Jerković
- National Cancer Research Center Serbia, University of Belgrade- School of Electrical Engineering, ᅟ, Serbia
| | - M Paskaš
- National Cancer Research Center Serbia, Innovation Center, University of Belgrade - Faculty of Electrical Engineering, ᅟ, Serbia
| | - G Pupić
- National Cancer Research Center Serbia, University of Belgrade- School of Electrical Engineering, ᅟ, Serbia
| | - R Džodić
- National Cancer Research Center Serbia, University of Belgrade- School of Electrical Engineering, ᅟ, Serbia
| | - D Popović
- National Cancer Research Center Serbia, University of Belgrade- School of Electrical Engineering, ᅟ, Serbia
| | - M C Fornito
- Nuclear Medicine Department and PET/CT center - A.R.N.A.S " Garibaldi - Nesima", Via Palermo 636, 95122, Catania, Italy
| | - D Familiari
- Nuclear Medicine Department and PET/CT center - A.R.N.A.S " Garibaldi - Nesima", Via Palermo 636, 95122, Catania, Italy
| | - P Koranda
- Department of Nuclear Medicine, Palacky University and University Hospital, Olomouc, Czech Republic
| | - H Polzerová
- Department of Nuclear Medicine, Palacky University and University Hospital, Olomouc, Czech Republic
| | - I Metelková
- Department of Nuclear Medicine, Palacky University and University Hospital, Olomouc, Czech Republic
| | - L Henzlová
- Department of Nuclear Medicine, Palacky University and University Hospital, Olomouc, Czech Republic
| | - R Formánek
- Department of Nuclear Medicine, Palacky University and University Hospital, Olomouc, Czech Republic
| | - E Buriánková
- Department of Nuclear Medicine, Palacky University and University Hospital, Olomouc, Czech Republic
| | - M Kamínek
- Department of Nuclear Medicine, Palacky University and University Hospital, Olomouc, Czech Republic
| | - W H Thomson
- Physics and Nuclear Medicine Department City Hospital, Birmingham, UK
| | - C Lewis
- Maternity Department City Hospital, Birmingham, UK
| | - W H Thomson
- Physics and Nuclear Medicine Department, City Hospital, Birmingham, UK
| | - J O'Brien
- Physics and Nuclear Medicine Department, City Hospital, Birmingham, UK
| | - G James
- Physics and Nuclear Medicine Department, City Hospital, Birmingham, UK
| | - A Notghi
- Physics and Nuclear Medicine Department, City Hospital, Birmingham, UK
| | - H Huber
- Institut für Nuklearmedizin und Endokrinologie, AKH Linz/Kepler Universitätsklinikum, ᅟ, Austria
| | - I Stelzmüller
- Abteilung für Lungenkrankheiten, AKH Linz/Kepler Universitätsklinikum, ᅟ, Austria
| | - R Wunn
- Zentrales Radiologie-Institut, AKH Linz/Kepler Universitätsklinikum, ᅟ, Austria
| | - M Mandl
- Abteilung für Lungenkrankheiten, AKH Linz/Kepler Universitätsklinikum, ᅟ, Austria
| | - F Fellner
- Zentrales Radiologie-Institut, AKH Linz/Kepler Universitätsklinikum, ᅟ, Austria
| | - B Lamprecht
- Abteilung für Lungenkrankheiten, AKH Linz/Kepler Universitätsklinikum, ᅟ, Austria
| | - M Gabriel
- Institut für Nuklearmedizin und Endokrinologie, AKH Linz/Kepler Universitätsklinikum, ᅟ, Austria
| | - M C Fornito
- Nuclear Medicine Department and PET/CT center - A.R.N.A.S " Garibaldi - Nesima", Via Palermo 636, 95122, Catania, Italy
| | - G Leonardi
- Heart-Failure Department - Azienda Ospedaliera Universitaria "Policlinico- Vittorio Emanuele", Catania, Italy
| | - W H Thomson
- Physics and Nuclear Medicine Department, City Hospital, Birmingham, UK
| | - J O'Brien
- Physics and Nuclear Medicine Department, City Hospital, Birmingham, UK
| | - G James
- Physics and Nuclear Medicine Department, City Hospital, Birmingham, UK
| | - J Hudzietzová
- Faculty of Biomedical Engineering, CTU, Prague, Czech Republic
| | - J Sabol
- Faculty of Safety Management, PACR, Prague, Czech Republic
| | - M Fülöp
- Faculty of Public Health, SMU, Bratislava, Slovak Republic
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Popovic A, Bauer M, Bartova L, Sauerzopf U, Praschak-Rieder N, Rami-Mark C, Nics L, Philippe C, Mitterhauser M, Wadsak W, Kasper S, Willeit M. Neurochemical and behavioral sensitization to d-amphetamine in healthy subjects measured with [ 11C]-(+)-PHNO-PET. Eur Psychiatry 2016. [DOI: 10.1016/j.eurpsy.2016.01.090] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/28/2022] Open
Abstract
IntroductionIt has been shown that patients with schizophrenia are super-sensitive towards dopamine-releasing agents such as amphetamine. Here, we studied the effects of amphetamine sensitization on amphetamine-induced dopamine release in healthy subjects.ObjectivesTo measure d-amphetamine-induced dopamine release as measured with the D2,3 agonist radioligand [11C]-(+)-PHNO-PET via change in non-displacable binding potential (BPND) and behavioral measures of d-amphetamine effects with drug effects questionnaire (DEQ) and subjective states questionnaire (SSQ).AimsTo study d-amphetamine-induced sensitization in healthy subjects on a behavioral and neurochemical level with [11C]-(+)-PHNO-PET in order to gain more knowledge on sensitization-induced changes in the dopaminergic system.MethodsTwelve stimulant-naïve healthy male subjects underwent three 90-min [11C]-(+)-PHNO-PET-scans and four oral administrations of d-amphetamine. After a naïve baseline scan, subjects underwent a PET scan with previous ingestion of 0.4 mg/kg bodyweight of d-amphetamine 90–120 minutes before scanning. Subsequently, subjects were sensitized to d-amphetamine with the same dose on two separate days. Thereafter, they underwent another PET scan with previous d-amphetamine ingestion. DEQ and SSQ were administered before, 60 min, 90–120 min, and 210 min after amphetamine ingestion.ResultsWe found significant sensitization effects on a behavioral level and on a neurochemical level after four administrations of amphetamine. Items of the SSQ, which showed significant sensitization effects were “outgoing”, “energetic”, “lively”, “alert” and “focused”.ConclusionsWe were able to induce significant behavioral and neurochemical sensitization in healthy humans, which were measured with [11C]-(+)-PHNO-PET for the first time. This sensitization model will be useful for studying the neurobiology of schizophrenia.Disclosure of interestThe authors have not supplied their declaration of competing interest.
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42
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Haeusler D, Kuntner C, Nics L, Savli M, Zeilinger M, Wanek T, Karagiannis P, Lanzenberger RR, Langer O, Shanab K, Spreitzer H, Wadsak W, Hacker M, Mitterhauser M. [18F]FE@SUPPY: a suitable PET tracer for the adenosine A3 receptor? An in vivo study in rodents. Eur J Nucl Med Mol Imaging 2015; 42:741-9. [PMID: 25601336 PMCID: PMC4349960 DOI: 10.1007/s00259-014-2976-3] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/16/2014] [Accepted: 12/09/2014] [Indexed: 10/28/2022]
Abstract
PURPOSE The adenosine A3 receptor (A3R) is involved in cardiovascular, neurological and tumour-related pathologies and serves as an exceptional pharmaceutical target in the clinical setting. A3R antagonists are considered antiinflammatory, antiallergic and anticancer agents, and to have potential for the treatment of asthma, COPD, glaucoma and stroke. Hence, an appropriate A3R PET tracer would be highly beneficial for the diagnosis and therapy monitoring of these diseases. Therefore, in this preclinical in vivo study we evaluated the potential as a PET tracer of the A3R antagonist [(18)F]FE@SUPPY. METHODS Rats were injected with [(18)F]FE@SUPPY for baseline scans and blocking scans (A3R with MRS1523 or FE@SUPPY, P-gp with tariquidar; three animals each). Additionally, metabolism was studied in plasma and brain. In a preliminary experiment in a mouse xenograft model (mice injected with cells expressing the human A3R; three animals), the animals received [(18)F]FE@SUPPY and [(18)F]FDG. Dynamic PET imaging was performed (60 min in rats, 90 min in xenografted mice). In vitro stability of [(18)F]FE@SUPPY in human and rat plasma was also evaluated. RESULTS [(18)F]FE@SUPPY showed high uptake in fat-rich regions and low uptake in the brain. Pretreatment with MRS1523 led to a decrease in [(18)F]FE@SUPPY uptake (p = 0.03), and pretreatment with the P-gp inhibitor tariquidar led to a 1.24-fold increase in [(18)F]FE@SUPPY uptake (p = 0.09) in rat brain. There was no significant difference in metabolites in plasma and brain in the treatment groups. However, plasma concentrations of [(18)F]FE@SUPPY were reduced to levels similar to those in rat brain after blocking. In contrast to [(18)F]FDG uptake (p = 0.12), the xenograft model showed significantly increased uptake of [(18)F]FE@SUPPY in the tissue masses from CHO cells expressing the human A3R (p = 0.03). [(18)F]FE@SUPPY was stable in human plasma. CONCLUSION Selective and significant tracer uptake of [(18)F]FE@SUPPY was found in xenografted mice injected with cells expressing human A3R. This finding supports the strategy of evaluating [(18)F]FE@SUPPY in "humanized animal models". In conclusion, preclinical evaluation points to the suitability of [(18)F]FE@SUPPY as an A3R PET tracer in humans.
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Affiliation(s)
- Daniela Haeusler
- Department of Nuclear Medicine, Medical University of Vienna, 1090, Vienna, Austria
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43
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Rami-Mark C, Ungersboeck J, Haeusler D, Nics L, Philippe C, Mitterhauser M, Willeit M, Lanzenberger R, Karanikas G, Wadsak W. Reliable set-up for in-loop ¹¹C-carboxylations using Grignard reactions for the preparation of [carbonyl-¹¹C]WAY-100635 and [¹¹C]-(+)-PHNO. Appl Radiat Isot 2013; 82:75-80. [PMID: 23974301 PMCID: PMC3842501 DOI: 10.1016/j.apradiso.2013.07.023] [Citation(s) in RCA: 19] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2012] [Revised: 07/22/2013] [Accepted: 07/25/2013] [Indexed: 02/02/2023]
Abstract
Aim of this work was the implementation of a generalized in-loop synthesis for 11C-carboxylations and subsequent 11C-acylations on the TRACERlab FxC Pro platform. The set-up was tested using [carbonyl-11C]WAY-100635 and, for the first time, [11C]-(+)-PHNO. Its general applicability could be demonstrated and both [carbonyl-11C]WAY-100635 and [11C]-(+)-PHNO were prepared with high reliability and satisfying outcome. Generalized method for in-loop 11C-carboxylations implemented. Grignard reactions successfully tested. First in-loop procedure for [11C]-(+)PHNO established. Satisfactory synthesis outcome for both [carbonyl-11C]WAY-100635 and [11C]-(+)PHNO. No distillation for purification of intermediate required.
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Affiliation(s)
- Christina Rami-Mark
- Radiochemistry and Biomarker Development Unit, Department of Biomedical Imaging and Image-guided Therapy, Division of Nuclear Medicine, Medical University of Vienna, A-1090 Vienna, Austria; Department of Inorganic Chemistry, University of Vienna, A-1090 Vienna, Austria
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44
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Philippe C, Nics L, Zeilinger M, Schirmer E, Spreitzer H, Karanikas G, Lanzenberger R, Viernstein H, Wadsak W, Mitterhauser M. Preparation and First Preclinical Evaluation of [(18)F]FE@SNAP: A Potential PET Tracer for the Melanin-Concentrating Hormone Receptor-1 (MCHR1). Sci Pharm 2013; 81:625-39. [PMID: 24106662 PMCID: PMC3791928 DOI: 10.3797/scipharm.1306-02] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/03/2013] [Accepted: 07/01/2013] [Indexed: 02/06/2023] Open
Abstract
The melanin-concentrating hormone (MCH) system is a new target for the treatment of human disorders. Since the knowledge of the MCH system’s involvement in a variety of pathologies (obesity, diabetes, and deregulation of metabolic feedback mechanism) is based on in vitro or preclinical studies, a suitable positron emission tomography (PET) tracer needs to be developed. We herein present the preparation and first preclinical evaluation of [18F]FE@SNAP – a new PET tracer for MCH receptor-1 (MCHR1). The synthesis was performed using a microfluidic device. Preclinical evaluation included binding affinity, plasma stability, plasma free fraction, stability against the cytochrome P-450 (CYP450) system using liver microsomes, stability against carboxyl-esterase, and methods to assess the penetration of the blood-brain barrier (BBB) such as logD analysis and immobilized artificial membrane (IAM) chromatography. Levels at 374 ± 202 MBq [18F]FE@SNAP were obtained after purification. The obtained Kd value of [18F]FE@SNAP was 2.9 nM. [18F]FE@SNAP evinced high stability against carboxylesterase, CYP450 enzymes, and in human plasma. LogD (3.83) and IAM chromatography results (Pm=0.51) were in the same range as for known BBB-penetrating compounds. The synthesis of [18F]FE@SNAP was reliable and successful. Due to high binding affinity and stability, [18F]FE@SNAP is a promising tracer for MCHR1.
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Affiliation(s)
- Cécile Philippe
- Radiochemistry and Biomarker Development Unit, Department of Nuclear Medicine, Medical University of Vienna, Waehringer Guertel 18-20, 1090 Vienna, Austria. ; Department of Pharmaceutical Technology and Biopharmaceutics, University of Vienna, Althanstraße 14, 1090 Vienna, Austria
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Mark C, Bornatowicz B, Mitterhauser M, Hendl M, Nics L, Haeusler D, Lanzenberger R, Berger ML, Spreitzer H, Wadsak W. Development and automation of a novel NET-PET tracer: [11C]Me@APPI. Nucl Med Biol 2013; 40:295-303. [DOI: 10.1016/j.nucmedbio.2012.11.009] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/02/2012] [Revised: 11/07/2012] [Accepted: 11/15/2012] [Indexed: 10/27/2022]
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Nics L, Hahn A, Zeilinger M, Vraka C, Ungersboeck J, Haeusler D, Hartmann S, Wagner KH, Lanzenberger R, Wadsak W, Mitterhauser M. Quantification of the radio-metabolites of the serotonin-1A receptor radioligand [carbonyl-11C]WAY-100635 in human plasma: An HPLC-assay which enables measurement of two patients in parallel. Appl Radiat Isot 2012; 70:2730-6. [DOI: 10.1016/j.apradiso.2012.08.016] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2012] [Revised: 08/30/2012] [Accepted: 08/30/2012] [Indexed: 10/27/2022]
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Philippe C, Ungersboeck J, Schirmer E, Zdravkovic M, Nics L, Zeilinger M, Shanab K, Lanzenberger R, Karanikas G, Spreitzer H, Viernstein H, Mitterhauser M, Wadsak W. [¹⁸F]FE@SNAP-A new PET tracer for the melanin concentrating hormone receptor 1 (MCHR1): microfluidic and vessel-based approaches. Bioorg Med Chem 2012; 20:5936-40. [PMID: 22921745 PMCID: PMC3460236 DOI: 10.1016/j.bmc.2012.07.051] [Citation(s) in RCA: 21] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2012] [Revised: 07/23/2012] [Accepted: 07/23/2012] [Indexed: 11/30/2022]
Abstract
Changes in the expression of the melanin concentrating hormone receptor 1 (MCHR1) are involved in a variety of pathologies, especially obesity and anxiety disorders. To monitor these pathologies in-vivo positron emission tomography (PET) is a suitable method. After the successful radiosynthesis of [(11)C]SNAP-7941-the first PET-Tracer for the MCHR1, we aimed to synthesize its [(18)F]fluoroethylated analogue: [(18)F]FE@SNAP. Therefore, microfluidic and vessel-based approaches were tested. [(18)F]fluoroethylation was conducted via various [(18)F]fluoroalkylated synthons and direct [(18)F]fluorination. Only the direct [(18)F]fluorination of a tosylated precursor using a flow-through microreactor was successful, affording [(18)F]FE@SNAP in 44.3 ± 2.6%.
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Affiliation(s)
- Cécile Philippe
- Radiochemistry and Biomarker Development Unit, Department of Nuclear Medicine, Medical University of Vienna, Waehringer Guertel 18-20, Vienna 1090, Austria
- Department of Pharmaceutical Technology and Biopharmaceutics, University of Vienna, Vienna 1090, Austria
| | - Johanna Ungersboeck
- Radiochemistry and Biomarker Development Unit, Department of Nuclear Medicine, Medical University of Vienna, Waehringer Guertel 18-20, Vienna 1090, Austria
- Department of Inorganic Chemistry, University of Vienna, 1090 Vienna, Austria
| | - Eva Schirmer
- Department of Drug and Natural Product Synthesis, University of Vienna, Vienna 1090, Austria
| | - Milica Zdravkovic
- Department of Pharmaceutical Technology and Biopharmaceutics, University of Vienna, Vienna 1090, Austria
| | - Lukas Nics
- Radiochemistry and Biomarker Development Unit, Department of Nuclear Medicine, Medical University of Vienna, Waehringer Guertel 18-20, Vienna 1090, Austria
- Department of Nutritional Sciences, University of Vienna, Vienna 1090, Austria
| | - Markus Zeilinger
- Radiochemistry and Biomarker Development Unit, Department of Nuclear Medicine, Medical University of Vienna, Waehringer Guertel 18-20, Vienna 1090, Austria
| | - Karem Shanab
- Department of Drug and Natural Product Synthesis, University of Vienna, Vienna 1090, Austria
| | - Rupert Lanzenberger
- Department of Psychiatry and Psychotherapy, Medical University of Vienna, 1090 Vienna, Austria
| | - Georgios Karanikas
- Radiochemistry and Biomarker Development Unit, Department of Nuclear Medicine, Medical University of Vienna, Waehringer Guertel 18-20, Vienna 1090, Austria
| | - Helmut Spreitzer
- Department of Drug and Natural Product Synthesis, University of Vienna, Vienna 1090, Austria
| | - Helmut Viernstein
- Department of Pharmaceutical Technology and Biopharmaceutics, University of Vienna, Vienna 1090, Austria
| | - Markus Mitterhauser
- Radiochemistry and Biomarker Development Unit, Department of Nuclear Medicine, Medical University of Vienna, Waehringer Guertel 18-20, Vienna 1090, Austria
- Department of Pharmaceutical Technology and Biopharmaceutics, University of Vienna, Vienna 1090, Austria
- Hospital Pharmacy of the General Hospital of Vienna, 1090 Vienna, Austria
| | - Wolfgang Wadsak
- Radiochemistry and Biomarker Development Unit, Department of Nuclear Medicine, Medical University of Vienna, Waehringer Guertel 18-20, Vienna 1090, Austria
- Department of Inorganic Chemistry, University of Vienna, 1090 Vienna, Austria
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Hahn A, Nics L, Baldinger P, Ungersböck J, Dolliner P, Frey R, Birkfellner W, Mitterhauser M, Wadsak W, Karanikas G, Kasper S, Lanzenberger R. Combining image-derived and venous input functions enables quantification of serotonin-1A receptors with [carbonyl-11C]WAY-100635 independent of arterial sampling. Neuroimage 2012; 62:199-206. [PMID: 22579604 DOI: 10.1016/j.neuroimage.2012.04.047] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2011] [Revised: 04/11/2012] [Accepted: 04/24/2012] [Indexed: 10/28/2022] Open
Abstract
UNLABELLED image- derived input functions (IDIFs) represent a promising technique for a simpler and less invasive quantification of PET studies as compared to arterial cannulation. However, a number of limitations complicate the routine use of IDIFs in clinical research protocols and the full substitution of manual arterial samples by venous ones has hardly been evaluated. This study aims for a direct validation of IDIFs and venous data for the quantification of serotonin-1A receptor binding (5-HT(1A)) with [carbonyl-(11)C]WAY-100635 before and after hormone treatment. METHODS Fifteen PET measurements with arterial and venous blood sampling were obtained from 10 healthy women, 8 scans before and 7 after eight weeks of hormone replacement therapy. Image-derived input functions were derived automatically from cerebral blood vessels, corrected for partial volume effects and combined with venous manual samples from 10 min onward (IDIF+VIF). Corrections for plasma/whole-blood ratio and metabolites were done separately with arterial and venous samples. 5-HT(1A) receptor quantification was achieved with arterial input functions (AIF) and IDIF+VIF using a two-tissue compartment model. RESULTS Comparison between arterial and venous manual blood samples yielded excellent reproducibility. Variability (VAR) was less than 10% for whole-blood activity (p>0.4) and below 2% for plasma to whole-blood ratios (p>0.4). Variability was slightly higher for parent fractions (VARmax=24% at 5 min, p<0.05 and VAR<13% after 20 min, p>0.1) but still within previously reported values. IDIFs after partial volume correction had peak values comparable to AIFs (mean difference Δ=-7.6 ± 16.9 kBq/ml, p>0.1), whereas AIFs exhibited a delay (Δ=4 ± 6.4s, p<0.05) and higher peak width (Δ=15.9 ± 5.2s, p<0.001). Linear regression analysis showed strong agreement for 5-HT(1A) binding as obtained with AIF and IDIF+VIF at baseline (R(2)=0.95), after treatment (R(2)=0.93) and when pooling all scans (R(2)=0.93), with slopes and intercepts in the range of 0.97 to 1.07 and -0.05 to 0.16, respectively. In addition to the region of interest analysis, the approach yielded virtually identical results for voxel-wise quantification as compared to the AIF. CONCLUSIONS Despite the fast metabolism of the radioligand, manual arterial blood samples can be substituted by venous ones for parent fractions and plasma to whole-blood ratios. Moreover, the combination of image-derived and venous input functions provides a reliable quantification of 5-HT(1A) receptors. This holds true for 5-HT(1A) binding estimates before and after treatment for both regions of interest-based and voxel-wise modeling. Taken together, the approach provides less invasive receptor quantification by full independence of arterial cannulation. This offers great potential for the routine use in clinical research protocols and encourages further investigation for other radioligands with different kinetic characteristics.
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Affiliation(s)
- Andreas Hahn
- Department of Psychiatry and Psychotherapy, Medical University of Vienna, Austria
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Nics L, Haeusler D, Wadsak W, Wagner KH, Dudczak R, Kletter K, Mitterhauser M. The stability of methyl-, ethyl- and fluoroethylesters against carboxylesterases in vitro: there is no difference. Nucl Med Biol 2011; 38:13-7. [DOI: 10.1016/j.nucmedbio.2010.07.004] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2010] [Revised: 06/29/2010] [Accepted: 07/01/2010] [Indexed: 11/16/2022]
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Haeusler D, Nics L, Mien LK, Ungersboeck J, Lanzenberger RR, Shanab K, Spreitzerf H, Sindelar KM, Viernstein H, Wagner KH, Dudczak R, Kletter K, Wadsak W, Mitterhauser M. [18F]FE@SUPPY and [18F]FE@SUPPY:2--metabolic considerations. Nucl Med Biol 2010; 37:421-6. [PMID: 20447552 DOI: 10.1016/j.nucmedbio.2010.01.001] [Citation(s) in RCA: 13] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/17/2009] [Revised: 12/17/2009] [Accepted: 01/01/2010] [Indexed: 11/19/2022]
Abstract
INTRODUCTION Recently, [(18)F]FE@SUPPY and [(18)F]FE@SUPPY:2 were introduced as the first positron emission tomography (PET) tracers for the adenosine A(3) receptor. Thus, aim of the present study was the metabolic characterization of the two adenosine A(3) receptor PET tracers. METHODS In vitro carboxylesterase (CES) experiments were conducted using incubation mixtures containing different concentrations of the two substrates, porcine CES and phosphate-buffered saline. Enzymatic reactions were stopped by adding acetonitrile/methanol (10:1) after various time points and analyzed by a high-performance liquid chromatography (HPLC) standard protocol. In vivo experiments were conducted in male wild-type rats; tracers were injected through a tail vein. Rats were sacrificed after various time points (n=3), and blood and brain samples were collected. Sample cleanup was performed by an HPLC standard protocol. RESULTS The rate of enzymatic hydrolysis by CES demonstrated Michaelis-Menten constants in a micromolar range (FE@SUPPY, 20.15 microM, and FE@SUPPY:2, 13.11 microM) and limiting velocities of 0.035 and 0.015 microM/min for FE@SUPPY and FE@SUPPY:2, respectively. Degree of metabolism in blood showed the following: 15 min pi 47.7% of [(18)F]FE@SUPPY was intact compared to 33.1% of [(18)F]FE@SUPPY:2; 30 min pi 30.3% intact [(18)F]FE@SUPPY was found compared to 15.6% [(18)F]FE@SUPPY:2. In brain, [(18)F]FE@SUPPY:2 formed an early hydrophilic metabolite, whereas metabolism of [(18)F]FE@SUPPY was not observed before 30 min pi CONCLUSION Knowing that metabolism in rats is several times faster than in human, we conclude that [(18)F]FE@SUPPY should be stable for the typical time span of a clinical investigation. As a consequence, from a metabolic point of view, one would tend to decide in favor of [(18)F]FE@SUPPY.
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Affiliation(s)
- Daniela Haeusler
- Department of Nuclear Medicine, Medical University of Vienna, A-1090 Vienna, Austria
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