Hyperpolarized ¹³C Urea Relaxation Mechanism Reveals Renal Changes in Diabetic Nephropathy

PURPOSE: Our aim was to assess a novel (13)C radial fast spin echo golden ratio single shot method for interrogating early renal changes in the diabetic kidney, using hyperpolarized (HP) [(13)C,(15)N(2)]urea as a T(2) relaxation based contrast bio‐probe. METHODS: A novel HP (13)C MR contrast experiment was conducted in a group of streptozotocin type‐1 diabetic rat model and age matched controls. RESULTS: A significantly different relaxation time (P = 0.004) was found in the diabetic kidney (0.49 ± 0.03 s) compared with the controls (0.64 ± 0.02 s) and secondly, a strong correlation between the blood oxygen saturation level and the relaxation times were observed in the healthy controls. CONCLUSION: HP [(13)C,(15)N(2)]urea apparent T(2) mapping may be a useful for interrogating local renal pO(2) status and renal tissue alterations. Magn Reson Med, 2015. © 2015 The Authors. Magnetic Resonance in Medicine published by Wiley Periodicals, Inc. on behalf of International Society for Magnetic Resonance in Medicine. This is an open access article under the terms of the Creative Commons Attribution‐NonCommercial‐NoDerivs License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made. Magn Reson Med 75:515–518, 2016. © 2015 The Authors. Magnetic Resonance in Medicine published by Wiley Periodicals, Inc. on behalf of International Society for Magnetic Resonance in Medicine

A genetically modified minipig model for Alzheimer's disease with SORL1 haploinsufficiency

The established causal genes in Alzheimer’s disease (AD), APP, PSEN1, and PSEN2, are functionally characterized using biomarkers, capturing an in vivo profile reflecting the disease’s initial preclinical phase. Mutations in SORL1, encoding the endosome recycling receptor SORLA, are found in 2%–3% of individuals with early-onset AD, and SORL1 haploinsufficiency appears to be causal for AD. To test whether SORL1 can function as an AD causal gene, we use CRISPR-Cas9-based gene editing to develop a model of SORL1 haploinsufficiency in Göttingen minipigs, taking advantage of porcine models for biomarker investigations. SORL1 haploinsufficiency in young adult minipigs is found to phenocopy the preclinical in vivo profile of AD observed with APP, PSEN1, and PSEN2, resulting in elevated levels of β-amyloid (Aβ) and tau preceding amyloid plaque formation and neurodegeneration, as observed in humans. Our study provides functional support for the theory that SORL1 haploinsufficiency leads to endosome cytopathology with biofluid hallmarks of autosomal dominant AD

Sponsorship of grassroots- and youth football teams : A qualitative study from the sponsors’ perspective

Abstract Title: Sponsorship of grassroots- and youth football teams: A qualitative study from the sponsors’ perspective. Authors: David Arvidsson and Christoffer Rex Hansen Charles. Supervisor: Hèléne Laurell. Level: Bachelor thesis in marketing (15 Swedish credits), Spring 2016. Keywords: Sponsorship, Sport sponsorship, Local sponsorship, Corporate Social Responsibility (CSR), Football,Grassroots, Effectiveness measurement. Purpose: The purpose of this study is to increase the understanding of sponsoring grassroots- and youth football teams. Theoretical framework: The theoretical framework begins with theory regarding sponsorship. CSR and its importance are also discussed. A link between sponsorship and CSR is brought forward at the end of this chapter. Methodology: A deductive approach and a qualitative method have been used in order to get a more detailed, deeper and descriptive explanation of the chosen subject. Empirical framework: The empirical framework was collected through personal interviews with respondents from five different companies. The respondents were the ones responsible for the work with sponsorship at each respective company. Conclusion: Companies are involved in the sponsoring of grassroots- and youth football teams in order to be seen as good citizens. It is also seen as a brand building activity and away to build relationships. A link between CSR and sponsorship can be done and sponsorship can be used as a tool to communicate companies’ CSR-initiatives. Finally, are the effects from sponsorship not measured due to the difficulties in this process, however, methods for this purpose do exist, such as customer surveys

Machine-Learning Assisted Exit-wave Reconstruction for Quantitative Feature Extraction

Reconstruction of the exit wave is a powerful tool to extract the maximal amount of information from High-resolution Transmission Electron Microscopy (HRTEM). In addition to the three-dimensional structure of the nanoparticle, the reconstructed exit waves also contained information about the beam-stimulated vibrations of the atoms nearthe edge of the nanoparticle. We have recently demonstrated that convolutional neural networks are able to reconstruct the exit wave fromafocal serieswith a low number of images. We train the neural networks on simulated images. The simulated images are produced with the multislice algorithm using the abTEM software, both the exit wave function and images produced with three different values of the defocus are saved. The neural network is then trained to reconstruct the exit wave from the images. The network is validated on a different set of simulated images, and if applicable applied to experimentally obtained data. We demonstrated that it is possible to train neural networks to reconstruct the exit wave for a varied set of samples consisting of all structures in the Computational 2D Materials Database (C2DB). For a specialized dataset such asMolybdenum Disulphide (MoS2) supported on graphene, a slightlylower error rate can be obtained(Figure 2), and realistic results can be obtained when the network is applied to experimental data. In this work, we investigate how far the convolutional neural networks can be optimized towards obtaining quantitative information from experimental data, with a particular focus on the kind of data i.e.,reconstructing exit waves with sufficient accuracy to extract the three-dimensional structure and the amplitudes of the atomic vibrations. This can be realized with more flexible training sets than in our previous publicationand by training the network to ignore the support when reconstructing the exit wave

Comparison of single and dual energy CT for stopping power determination in proton therapy of head and neck cancer

Background and purpose: Patients with head and neck (HN) cancer may benefit from proton therapy due to the potential for sparing of normal tissue. For planning of proton therapy, dual-energy CT (DECT) has been shown to provide superior stopping power ratio (SPR) determination in phantom materials and organic tissue samples, compared to single-energy CT (SECT). However, the benefit of DECT in HN cancer patients has not yet been investigated. This study therefore compared DECT- and SECT-based SPR estimation for HN cancer patients. Materials and methods: Fourteen HN cancer patients were DECT scanned. Eight patients were scanned using a dual source DECT scanner and six were scanned with a conventional SECT scanner by acquiring two consecutive scans. SECT image sets were computed as a weighted summation of the low and high energy DECT image sets. DECT- and SECT-based SPR maps were derived. Water-equivalent path lengths (WEPLs) through the SPR maps were compared in the eight cases with dual source DECT scans. Mean SPR estimates over region-of-interests (ROIs) in the cranium, brain and eyes were analyzed for all patients. Results: A median WEPL difference of 1.9 mm (1.5%) was found across the eight patients. Statistically significant SPR differences were seen for the ROIs in the brain and eyes, with the SPR estimates based on DECT overall lower than for SECT. Conclusions: Clinically relevant WEPL and SPR differences were found between DECT and SECT, which could imply that the accuracy of treatment planning for proton therapy would benefit from DECT-based SPR estimation. Keywords: Proton therapy, Stopping power ratio, Dual-energy CT, Water-equivalent path length, Head and neck cance