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Mg supplementation has been shown to protect preterm fetuses from white and gray matter damage, but the mechanism is unclear. The purpose of this study was to study the effect of maternal inflammation on the overall protein panel of the fetal rat brain, as well as the neuroprotective effect of magnesium-sulfate (MG). Pregnant rats at e20 (n = 6, 18 total) received injections of i.p. APD334 lipopolysaccharide (LPS) 500 ug/kg or control saline (SAL) at time 0. Dams were randomized to treatment with s.c. MG (270 mg/kg loading followed by 27 mg/kg q20 min) or saline (SAL) from -2 to +2 h, followed by an additional injection of MG (270 mg/kg) at +2 h. link2 At 4 h after LPS administration, fetal brains were collected from the 3 treatment groups (LPS/SAL, LPS/MG, SAL/SAL) and analyzed by proteomic technique. LPS significantly decreased fetal brain complement C3, alpha-1-antiproteinase, metallothionein-3, alpha-2-macroglobulin, neurosecretory protein VGF, glutathione S-transferase mu 2, fam91a1, cnot7, mitogen-activated protein kinase levels, and significantly increased fetal brain Hbg1, while MG treatment normalized these measures to normal values. Maternal inflammation may cause brain injury via pathways other than the activation of neurotoxic cytokines; this effect could be due to increased/decreased production of certain proteins associated with securing oligodendrocytes, encouraging neuronal growth in the brain, or protecting against cerebral ischemia. MG's neuroprotective activity may be achieved by modifying the effect of LPS on proteins involved in early brain development.

Up to 22% of older patients who visit the emergency department (ED) have a return visit within 30days. To achieve patient-centered care for this group at the ED it is important to involve the patient perspective and strive to provide the best possible experience. The aim of this study was to gain insight into the experiences and perspectives of older patients from initial to return ED visit by mapping their patient journey.

We performed a qualitative patient journey study with 13 patients of 70years and older with a return ED visit within 30days who presented at the Amsterdam UMC, a Dutch academic hospital. We used semi-structured interviews focusing on the patient experience during their journey and developed a conceptual framework for coding.

Our sample consisted of 13 older patients with an average age of 80years, and 62% of them were males. The framework contained a timeline of the patient journey with five chronological main themes, complemented with an 'experience' theme, these were divided into 3egarding waiting times and suboptimal discharge communication contributed to negative experiences. Recommendations regarding waiting time (i.e. a two-hour time out at the ED), and discharge communication (i.e. checklist for discharge) could contribute to a positive ED experience and thereby potentially improve patient-centered care.

The aim was to assess the real-world healthcare resource use and direct medical costs for metastatic castration-resistant prostate cancer (mCRPC) patients treated with abiraterone or enzalutamide, in whom chemotherapy is not yet indicated (pre-chemotherapy) or who had previously received docetaxel-based chemotherapy (post-chemotherapy), before commencing these medicines.

A retrospective cost analysis of mCRPC patients who commenced abiraterone or enzalutamide between 2012 and 2015 was conducted. Routinely collected datasets from the largest health board in Scotland and the UK, Greater Glasgow and Clyde, were linked. link3 They contained information on patient demographics, diagnosis, outpatient consultations, hospital admissions, treatments (abiraterone and enzalutamide), and supportive medicines. Unit costs were obtained from the Scottish Health Service Costs, Personal Social Services Research Unit, and British National Formulary. Generalised linear model-based regression was used to estimate total mean directhoice of treatment regimen, but treatment setting (pre-chemotherapy or post-chemotherapy indications) and related healthcare resource utilisation. Future studies should focus on economic evaluations, such as cost-effectiveness analyses, using real-world data.

The total mean direct medical costs were similar for abiraterone and enzalutamide patients. The costs were not driven by the choice of treatment regimen, but treatment setting (pre-chemotherapy or post-chemotherapy indications) and related healthcare resource utilisation. Future studies should focus on economic evaluations, such as cost-effectiveness analyses, using real-world data.Accurate diagnosis of psychiatric disorders plays a critical role in improving the quality of life for patients and potentially supports the development of new treatments. Graph convolutional networks (GCNs) are shown to be successful in modeling applications with graph structures. However, training an accurate GCNs model for brain networks faces several challenges, including high dimensional and noisy correlation in the brain networks, limited labeled training data, and depth limitation of GCN learning. Generalization and interpretability are important in developing predictive models for clinical diagnosis. To address these challenges, we proposed an ensemble framework involving hierarchical GCN and transfer learning for sparse brain networks, which allows GCN to capture the intrinsic correlation among the subjects and domains, to improve the network embedding learning for disease diagnosis. Extensive experiments on two real medical clinical applications diagnosis of Autism spectrum disorder (ASD) and diagnosis of Alzheimer's disease (AD) on both the ADNI and ABIDE databases, showing the effectiveness of the proposed framework. We achieved state-of-the-art accuracy and AUC for AD/MCI and ASD/NC (Normal control) classification in comparison with studies that used functional connectivity as features or GCN models. The proposed TE-HI-GCN model achieves the best classification performance, leading to about 27.93% (31.38%) improvement for ASD and 16.86% (44.50%) for AD in terms of accuracy and AUC compared with the traditional GCN model. Moreover, the obtained clustering results show high correspondence with the previous neuroimaging derived evidence of within and between-networks biomarkers for ASD. The discovered subnetworks are used as evidence for the proposed TE-HI-GCN model. Furthermore, this work is the first attempt of transfer learning on the two related disorder domains to uncover the correlation among the two diseases with a transfer learning scheme.Creation of scaffold-based tissue-engineered constructs (SB TECs) is costly and requires coordinated qualified efforts. Cryopreservation enables longer shelf-life for SB TECs while enormously enhancing their availability as medical products. Regenerative treatment with cryopreserved SB TECs prepared in advance (possibly prêt-à-porter) can be started straight away on demand. Animal studies and clinical trials indicate similar levels of safety for cryopreserved and freshly prepared SB TECs. Although cryopreservation of such constructs is more difficult than that of cell suspensions or tissues, years of research have proved the principal possibility of using ready-to-transplant SB TECs after prolonged cryostorage. Cryopreservation efficiency depends not only on the sheer viability of adherent cells on scaffolds after thawing, but largely on the retention of proliferative and functional properties by the cells, as well as physical and mechanical properties by the scaffolds. Cryopreservation protocols require careful optimization, as their efficiency depends on multiple parameters including cryosensitivity of cells, chemistry and architecture of scaffolds, conditions of cell culture before freezing, cryoprotectant formulations, etc. In this review we discuss recent achievements in SB TEC cryopreservation as a major boost for the field of tissue engineering and biobanking.David Sherry's pioneering work on the neuroecology of spatial memory has three characteristics that could inspire studies on other cognitive processes it was grounded in a robust prior literature in psychology and neuroscience; it identified several natural history contexts in which repeated independent evolution of spatial memory differences had occurred in different clades; it involved a precise cognitive ability with a precise neural substrate. We discuss the application of these three principles to a more domain-general trait-innovation. We argue that targeting the caudolateral nidopallium and its connected areas, favoring problem-solving over reversal learning as an experimental assay, and focusing on situations that involve environmental change, such as urbanization and invasion, can help the study of innovation progress, like the field of spatial memory has since 1989.The caregiving environment that children and adolescents experience is critically important for their social-emotional development. Parenting may affect child social-emotional outcomes through its effects in shaping the child's developing brain. Research has begun to investigate effects of parenting on child and adolescent brain function in humans using functional magnetic resonance imaging (fMRI). Here we review these initial studies. These studies find associations between parenting behavior and child and adolescent functional activation in neural networks involved in emotional arousal, emotion regulation (ER), reward processing, cognitive control, and social-emotional information processing. Findings from these studies suggest that higher negative parenting and lower positive parenting are generally associated with heightened activation in emotional arousal networks in response to negative emotional stimuli in youth. Further, findings indicate that lower positive parenting is associated with higher response in reward processing networks to monetary reward in youth. Finally, findings show that lower positive parenting predicts lower activation in cognitive control networks during cognitive control tasks and less adaptive neural responses to parent-specific stimuli. Several studies found these associations to be moderated by child sex or psychopathology risk status and we discuss these moderating factors and discuss implications of findings for children's social-emotional development.Access to the Internet has upended long-standing myths and misconceptions about autism as autistic individuals are enabled through technology increasingly to influence the dialog around neurodiversity, the experience of being autistic, and the effectiveness of mental health interventions for autistic adults. Autistic self-advocates are speaking up in support of including neurodivergent adults as a population that might benefit from the burgeoning psychedelic medicine field, in an absence of many other mental health treatment options that have been researched and shown to be effective for them. Autism is a genetically-determined neurocognitive variant with considerable heterogeneity across the broad autistic phenotype spectrum. Therefore, enthusiasm for investigating psychedelics to cure or alter the course of autism is most likely ill-informed and misdirected; psychiatric and psychopharmacological interventions do not alter the genome. However, autism frequently co-occurs with clinical conditions such as anxiety, depression, obsessive-compulsive disorder, and trauma that have been investigated as indications for clinical trials with classic and atypical psychedelics.

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