Dataset Information

¹¹ C Radiolabeling of anle253b: a Putative PET Tracer for Parkinson's Disease That Binds to ?-Synuclein Fibrils in?vitro and Crosses the Blood-Brain Barrier.

ABSTRACT: There is an urgent clinical need for imaging of ?-synuclein (?Syn) fibrils, the hallmark biomarker for Parkinson's disease, in neurodegenerative disorders. Despite immense efforts, promising tracer candidates for nuclear imaging of ?Syn are rare. Diphenyl pyrazoles are known modulators of ?Syn aggregation and thus bear potential for non-invasive detection of this biomarker in?vivo. Here we demonstrate high-affinity binding of the family member anle253b to fibrillar ?Syn and present a high-yielding site-selective radiosynthesis route for ¹¹ C radiolabeling using in-situ generated [¹¹ C]formaldehyde and reductive methylation. Radio-HPLC of the tracer after incubation with rat serum in?vitro shows excellent stability of the molecule. Positron emission tomography in healthy animals is used to assess the pharmacokinetics and biodistribution of the tracer, showing good penetration of the blood-brain barrier and low background binding to the non-pathological brain.

SUBMITTER: Maurer A

PROVIDER: S-EPMC7079211 | biostudies-literature | 2020 Mar

REPOSITORIES: biostudies-literature

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Publications

<sup>11</sup> C Radiolabeling of anle253b: a Putative PET Tracer for Parkinson's Disease That Binds to α-Synuclein Fibrils in vitro and Crosses the Blood-Brain Barrier.

Maurer Andreas A Leonov Andrei A Ryazanov Sergey S Herfert Kristina K Kuebler Laura L Buss Sabrina S Schmidt Felix F Weckbecker Daniel D Linder Ruth R Bender Dirk D Giese Armin A Pichler Bernd J BJ Pichler Bernd J BJ Griesinger Christian C

ChemMedChem 20200109 5

There is an urgent clinical need for imaging of α-synuclein (αSyn) fibrils, the hallmark biomarker for Parkinson's disease, in neurodegenerative disorders. Despite immense efforts, promising tracer candidates for nuclear imaging of αSyn are rare. Diphenyl pyrazoles are known modulators of αSyn aggregation and thus bear potential for non-invasive detection of this biomarker in vivo. Here we demonstrate high-affinity binding of the family member anle253b to fibrillar αSyn and present a high-yieldi ...[more]

PMID: 31859430

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Project description:PurposeIn PSMA-ligand PET/CT imaging, standardized evaluation frameworks and image-derived parameters are increasingly used to support prostate cancer staging. Clinical applicability remains challenging wherever manual measurements of numerous suspected lesions are required. Deep learning methods are promising for automated image analysis, typically requiring extensive expert-annotated image datasets to reach sufficient accuracy. We developed a deep learning method to support image-based staging, investigating the use of training information from two radiotracers.MethodsIn 173 subjects imaged with 68Ga-PSMA-11 PET/CT, divided into development (121) and test (52) sets, we trained and evaluated a convolutional neural network to both classify sites of elevated tracer uptake as nonsuspicious or suspicious for cancer and assign them an anatomical location. We evaluated training strategies to leverage information from a larger dataset of 18F-FDG PET/CT images and expert annotations, including transfer learning and combined training encoding the tracer type as input to the network. We assessed the agreement between the N and M stage assigned based on the network annotations and expert annotations, according to the PROMISE miTNM framework.ResultsIn the development set, including 18F-FDG training data improved classification performance in four-fold cross validation. In the test set, compared to expert assessment, training with 18F-FDG data and the development set yielded 80.4% average precision [confidence interval (CI): 71.1-87.8] for identification of suspicious uptake sites, 77% (CI: 70.0-83.4) accuracy for anatomical location classification of suspicious findings, 81% agreement for identification of regional lymph node involvement, and 77% agreement for identification of metastatic stage.ConclusionThe evaluated algorithm showed good agreement with expert assessment for identification and anatomical location classification of suspicious uptake sites in whole-body 68Ga-PSMA-11 PET/CT. With restricted PSMA-ligand data available, the use of training examples from a different radiotracer improved performance. The investigated methods are promising for enabling efficient assessment of cancer stage and tumor burden.

Project description:BackgroundMutations in the epidermal growth factor receptor (EGFR) kinase domain are common in non-small cell lung cancer. Conventional tyrosine kinase inhibitors target the mutation site in the ATP binding pocket, thereby inhibiting the receptor's function. However, subsequent treatment resistance mutations in the ATP binding site are common. The EGFR allosteric inhibitor, EAI045, is proposed to have an alternative mechanism of action, disrupting receptor signaling independent of the ATP-binding site. The antibody cetuximab is hypothesized to increase the number of accessible allosteric pockets for EAI045, thus increasing the potency of the inhibitor. This work aimed to gain further knowledge on pharmacokinetics, the EGFR mutation-targeting potential, and the influence of cetuximab on the uptake by radiolabeling EAI045 with carbon-11 and tritium.Results2-(5-fluoro-2-hydroxyphenyl)-2-((2-iodobenzyl)amino)-N-(thiazol-2-yl)acetamide and 2-(5-fluoro-2-hydroxyphenyl)-N-(5-iodothiazol-2-yl)-2-(1-oxoisoindolin-2-yl)acetamide were synthesized as precursors for the carbon-11 and tritium labeling of EAI045, respectively. [11C]EAI045 was synthesized using [11C]CO in a palladium-catalyzed ring closure in a 10 ± 1% radiochemical yield (decay corrected to end of [11C]CO2 production), > 97% radiochemical purity and 26 ± 1 GBq/µmol molar activity (determined at end of synthesis) in 51 min. [3H]EAI045 was synthesized by a tritium-halogen exchange in a 0.2% radiochemical yield, 98% radiochemical purity, and 763 kBq/nmol molar activity. The ability of [11C]EAI045 to differentiate between L858R/T790M mutated EGFR expressing H1975 xenografts and wild-type EGFR expressing A549 xenografts was evaluated in female nu/nu mice. The uptake was statistically significantly higher in H1975 xenografts compared to A549 xenografts (0.45 ± 0.07%ID/g vs. 0.31 ± 0.10%ID/g, P = 0.0166). The synergy in inhibition between EAI045 and cetuximab was evaluated in vivo and in vitro. While there was some indication that cetuximab influenced the uptake of [3H]EAI045 in vitro, this could not be confirmed in vivo when tumor-bearing mice were administered cetuximab (0.5 mg), 24 h prior to injection of [11C]EAI045.ConclusionsEAI045 was successfully labeled with tritium and carbon-11, and the in vivo results indicated [11C]EAI045 may be able to distinguish between mutated and non-mutated EGFR in non-small cell lung cancer mouse models. Cetuximab was hypothesized to increase EAI045 uptake; however, no significant effect was observed on the uptake of [11C]EAI045 in vivo or [3H]EAI045 in vitro in H1975 xenografts and cells.

Dataset Information

¹¹ C Radiolabeling of anle253b: a Putative PET Tracer for Parkinson's Disease That Binds to ?-Synuclein Fibrils in?vitro and Crosses the Blood-Brain Barrier.

Publications

<sup>11</sup> C Radiolabeling of anle253b: a Putative PET Tracer for Parkinson's Disease That Binds to α-Synuclein Fibrils in vitro and Crosses the Blood-Brain Barrier.

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Dataset Information

11 C Radiolabeling of anle253b: a Putative PET Tracer for Parkinson's Disease That Binds to ?-Synuclein Fibrils in?vitro and Crosses the Blood-Brain Barrier.

Publications

<sup>11</sup> C Radiolabeling of anle253b: a Putative PET Tracer for Parkinson's Disease That Binds to α-Synuclein Fibrils in vitro and Crosses the Blood-Brain Barrier.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets

¹¹ C Radiolabeling of anle253b: a Putative PET Tracer for Parkinson's Disease That Binds to ?-Synuclein Fibrils in?vitro and Crosses the Blood-Brain Barrier.