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Damage to cartilage is an important indicator of osteoarthritis progression, but manual extraction of cartilage morphology is time-consuming and prone to error. To address this, we hypothesize that automatic labeling of cartilage can be achieved through the comparison of contrasted and non-contrasted Computer Tomography (CT). However, this is non-trivial as the pre-clinical volumes are at arbitrary starting poses due to the lack of standardized acquisition protocols. Thus, we propose an annotation-free deep learning method, D-net, for accurate and automatic alignment of pre- and post-contrasted cartilage CT volumes. D-Net is based on a novel mutual attention network structure to capture large-range translation and full-range rotation without the need for a prior pose template. CT volumes of mice tibiae are used for validation, with synthetic transformation for training and tested with real pre- and post-contrasted CT volumes. Analysis of Variance (ANOVA) was used to compare the different network structures. Our proposed method, D-net, achieves a Dice coefficient of 0.87, and significantly outperforms other state-of-the-art deep learning models, in the real-world alignment of 50 pairs of pre- and post-contrasted CT volumes when cascaded as a multi-stage network., Competing Interests: Declaration of Competing Interest The authors declare the following financial interests/personal relationships which may be considered as potential competing interests: Jian-Qing Zheng, Ngee Han Lim, Bartlomiej Papiez has patent Neural network for cartilage thickness quantification pending to Intellectual Property Office UK. N.H.L. is a named inventor on a patent for radiopaque compounds containing diiodotyrosine (WO2018020262A1, EP3490614A1), the analysis of which would benefit from this work., (Copyright © 2023 The Author(s). Published by Elsevier Ltd.. All rights reserved.)

Objective: To investigate the efficacy of DA-8031, a novel compound for the treatment of premature ejaculation, we measured serotonin transporter (SERT) occupancy by DA-8031, as well as DA-8031-induced changes in extracellular serotonin levels, in the rat brain using positron emission tomography (PET) and 11C-N,N-dimethyl-2-(2-amino-4-cyanophenylthio) benzylamine ([11C]DASB) and in vivo microdialysis, respectively., Methods: [11C]DASB PET scans were performed in rats with graded doses of DA-8031 (vehicle: 10, 30, and 100 mg/kg). SERT occupancy in the midbrain was determined using binding potentials for [11C]DASB calculated by the multilinear reference tissue model. Extracellular serotonin levels were monitored in the dorsal raphe nucleus of rats after the administration of DA-8031 (10-100 mg/kg) using in vivo microdialysis., Results: PET data indicated a reduction of [11C]DASB binding to SERTs in the midbrain as a function of DA-8031 dose. SERT occupancy for each DA-8031 dose (10-100 mg/kg) ranged between 31% and 84%. The drug dose required for 50% occupancy of SERT was 13.5 mg/kg in the midbrain, comparable with previous preclinical behavioral data (∼10-30 mg/kg). In vivo microdialysis showed that DA-8031 produced a dose-dependent increase in extracellular serotonin levels in the dorsal raphe nucleus (33%-81% increase for doses of 10-100 mg/kg)., Conclusion: These preclinical data provide a proof of mechanism for DA-8031 as a novel compound of targeting the SERT for the treatment of premature ejaculation, warranting further clinical trials. They also offer insight into the optimal drug dose needed to exert therapeutic effects while minimizing adverse effects in humans., (Copyright © 2014 Elsevier Inc. All rights reserved.)

Near-infrared fluorophore (NIRF)-labeled imaging probes are becoming increasingly important in bio-molecular imaging applications, that is, in animal models for tumor imaging or inflammation studies. In this study we showed that the previously introduced chemical concept of 'Reverse Design' represents an efficient strategy for the generation of selective probes for cysteine proteases from chemically optimized protease inhibitors for investigations in proteomic lysates as well as for in vivo molecular imaging studies. The newly developed activity-based probe AW-091 was demonstrated to be highly selective for cathepsin S in vitro and proved useful in monitoring cysteine cathepsin activity in vivo, that is, in zymosan-induced mouse model of inflammation. AW-091 showed higher signal-to-background ratios at earlier time points than the commercially available polymer-based ProSense680 (VisEn Medical) and thus represents an efficient new tool for studying early proteolytic processes leading to various diseases, including inflammation, cancer, and rheumatoid arthritis. In addition, the fluorescent signal originating from the cleaved AW-091 was shown to be reduced by the administration of an anti-inflammatory drug, dexamethasone and by the cathepsin inhibitor E-64, providing a valuable system for the evaluation of small-molecule inhibitors of cathepsins., (Copyright © 2010. Published by Elsevier Ltd.)