AimIn this paper we aimed to systematically review the literature on physical activity’s effect on depressive symptoms in Parkinson disease.BackgroundDepression is a common symptom of Parkinson’s disease and is associated with increased disability, rapid progression of motor symptoms, mortality, and adverse effects on Quality of Life.DesignA systematic review of primary research was undertaken and conducted according to the Preferred Reporting Items for Systematic Reviews.Data sourcesDatabases Scopus, Psycho-info, CINAHL, PubMed, and ProQuest Cochrance were searched from January 2006 to June 2017. The language was restricted to English.Review methodsAbstracts were screened and reviewed against the eligibility criteria (participants’ mean age were ≥ 60 with PD, PA interventions, depression as one of outcome variables, and Randomized Control Trail or quasi-experimental design). Two reviewers appraised the quality of the data extracted. The modified Jadad scale assessed the quality of the methodology of the published papers.ResultsThe database search yielded 769 abstracts, 11 of which were included in this review and awarded scores ranging from 3 to 8 (Scale scores range from 0 to 8 points, higher scores indicated better quality) by the raters. These 11 studies included 342 patients and executed 17 kinds of physical activity programs. Results of this review show empirical evidence to support the efficacy of physical activity for the population with Parkinson’s disease. Aerobic training exercise significantly improved the participants’ scores on the Unified Parkinson’s Disease Rating Scale, the Beck Depression Inventory, and the Quality of Life of the patients. Qigong improved scores in UPDRS-III and decreased incidences of multiple non-motor symptoms and depression. Furthermore, a balance-training program, such as Tai Chi, can improve postural stability and Quality of Life.ConclusionsPhysical activity may assuage the degeneration of motor skills and depression as well as increase the Quality of Life of Parkinson’s disease patients, with aerobic training producing the best results. These findings suggest that physical activity, notably aerobic training, could be a good exercise strategy for patients with Parkinson’s disease.
Mechanisms for human sinoatrial node (SAN) dysfunction are poorly understood and whether human SAN excitability requires voltage-gated sodium channels (Nav) remains controversial. Here, we report that neuronal (n)Nav blockade and selective nNav1.6 blockade during high-resolution optical mapping in explanted human hearts depress intranodal SAN conduction, which worsens during autonomic stimulation and overdrive suppression to conduction failure. Partial cardiac (c)Nav blockade further impairs automaticity and intranodal conduction, leading to beat-to-beat variability and reentry. Multiple nNav transcripts are higher in SAN vs atria; heterogeneous alterations of several isoforms, specifically nNav1.6, are associated with heart failure and chronic alcohol consumption. In silico simulations of Nav distributions suggest that I Na is essential for SAN conduction, especially in fibrotic failing hearts. Our results reveal that not only cNav but nNav are also integral for preventing disease-induced failure in human SAN intranodal conduction. Disease-impaired nNav may underlie patient-specific SAN dysfunctions and should be considered to treat arrhythmias.
The ICAM-1 expression in visually normal peritoneal cells from women with endometriosis may play a role in the early implantation of peritoneal endometriosis. Peritoneal INF-gamma stimulation is significantly associated with ICAM-1 expression in endometriosis. Therefore, the differential expression and changes of ICAM-1 may be involved in the mechanism that can escape immunosurveillance and allow refluxed endometrial cells to spread and invade other location.
Background/Aims: Accumulating evidence demonstrates the superior osteoinductivity of tantalum (Ta) to that of titanium (Ti); however, the mechanisms underlying these differences are unclear. Thus, the objective of the present study was to examine the effects of Ta and Ti surfaces on osteogenesis using rat bone mesenchymal stromal cells (rBMSCs) as a model. Methods: Ta and Ti substrates were polished to a mirror finish to minimize the influences of structural factors, and the intrinsic surface effects of the two materials on the integrin α5β1/mitogen-activated protein kinases 3 and 1 (ERK1/2) cascade-mediated osteogenesis of rBMSCs were evaluated. Alkaline phosphatase (ALP) activity, Alizarin Red staining, real-time polymerase chain reaction, and western blot assays of critical osteogenic markers were conducted to evaluate the effects of the two substrates on cell osteogenesis. Moreover, the role of the integrin α5β1/ERK1/2 pathway on the osteoinductive performance of Ta and Ti was assessed by up- and down-regulation of integrin α5 and β1 with RNA interference, as well as through ERK1/2 inhibition with U0126. Results: Osteogenesis of rBMSCs seeded on the Ta surface was superior to that of cells seeded on the Ti surface in terms of ALP activity, extracellular matrix calcification, and the expression of integrin α5, integrin β1, ERK1/2, Runt-related transcription factor 2, osteocalcin, collagen type I, and ALP at both the mRNA and protein levels. Moreover, down-regulation of integrin α5 or integrin β1, or ERK1/2 inhibition severely impaired the osteoblastic differentiation on the Ta surface. By contrast, over-expression of integrin α5 or integrin β1 improved osteogenesis on the Ti substrates, while subsequent ERK1/2 inhibition abrogated this effect. Conclusion: The integrin α5β1/ERK1/2 pathway plays a crucial role in regulating rBMSCs osteogenic differentiation; thus, the greater ability of a Ta surface to trigger integrin α5β1/ERK1/2 signaling may explain its better osteoinductivity. The different effects of Ta and Ti surfaces on rBMSC osteogenesis are considered to be related to the conductive behaviors between integrin α5β1 and the oxides spontaneously formed on the two metals. These results should facilitate the development of engineering strategies with Ta and Ti surfaces for improved osteogenesis in endosteal implants.
AimTo explore the effect of home‐based exercise on motor symptoms (MS), non‐motor symptoms (NMS), and health‐related quality of life (HRQOL) in Parkinsonʼs disease (PD) patients.MethodsThis study was a randomized control trial with a convenience sample of 98 PD patients. Data were collected at baseline and interventions after 4 and 8 weeks. The exercise group was instructed to perform 150 min/week of exercise at home; the control group maintained their regular lifestyle. Questionnaires measured MS, NMS, and HRQOL. We also compare compliance and non‐compliance subgroups of the exercise group. The generalized estimating equation (GEE) was used to determine the exercise effect of 120 and 150 min per week after testing for exercise times was at six time points (90–140 min).ResultsThe exercise (n = 49) and control groups (n = 49) were homogeneous except for disease stage at baseline. Significant differences were found for depression, HRQOL, motor ability, activity of daily living, and fatigue (p < .000) between the exercise and control groups, and also between the compliance and non‐compliance subgroups (p < .05). The GEE revealed that exercising 150 min/week significantly improved HRQOL, depression, motor ability, ADL, fatigue, and sleep quality (p < .05), though not anxiety, and exercising 120 min/week was also effective.ConclusionsThis home‐based exercise was effective in improving MS, NMS, and HRQOL. We recommend PD patients to exercise 30–50 min at least three times a week, or 10–15 min per session daily, to accumulate 120–150 min per week.
a b s t r a c tRecommender systems represent an important tool for news distribution on the Internet. In this work we modify a recently proposed social recommendation model in order to deal with no explicit ratings of users on news. The model consists of a network of users which continually adapts in order to achieve an efficient news traffic. To optimize the network's topology we propose different stochastic algorithms that are scalable with respect to the network's size. Agent-based simulations reveal the features and the performance of these algorithms. To overcome the resultant drawbacks of each method we introduce two improved algorithms and show that they can optimize the network's topology almost as fast and effectively as other not-scalable methods that make use of much more information.
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