Study on the active ingredients of Shenghui decoction inhibiting acetylcholinesterase based on molecular docking and molecular dynamics simulation.

We aim to investigate the mechanism and effective components of Shenghui decoction (SHD), which has been shown to inhibit acetylcholinesterase (AChE) through molecular docking (MD) and molecular dynamics simulation (MDS). The effective ingredients in SHD were collected through the TCMSP database and literature review. All components were docked with AChE using CDOCKER. Receptor ligand interaction analysis was performed for the optimal ligand. Two simulation models (model I and II) containing AChE and acetylcholine (ACh) were constructed, in which model II contained the best-docked ligand. Perform 90ns MDS on 2 models. After the simulation, the distance between ACh and AChE peripheral active sites were calculated in both models. The root mean square deviation (RMSD) curve of ligand and receptor, the radius of gyration (Rog) of the receptor, the distance between ligand center and binding site center, and the binding energy of ligand and receptor were calculated in model II. 98 ingredients of SHD were collected, and the best ligand was Tumulosic acid. The residues that form conventional hydrogen bonds between AChE and Tumulosic acid include Tyr132 and Glu201. MDS revealed that ACh could bind to AChE active site in model I. In model II, ACh cannot bind to the binding cavity because the ligand occupies the active site. The RMSD of AChE and Tumulosic acid tends to be stable, the Rog curve of AChE is relatively stable, and the distance between ligand and binding cavity does not fluctuate greatly, indicating that the structure of receptor and ligand is relatively stable. The binding energy of AChE and Tumulosic acid was -24.14 ± 2.46 kcal/mol. SHD contains many effective ingredients that may inhibit AChE activity. Tumulosic acid can occupy the binding site to prevent ACh from entering the chemical domain, thus exerting AChE inhibitory effect.

Association of serum water-soluble vitamin exposures with the risk of metabolic syndrome: results from NHANES 2003-2006.

Introduction: Existing evidence suggests an association between certain vitamins and metabolic syndrome (MetS), but few epidemiological studies have focused on the effects of multivitamin co-exposure on MetS. This study aims to investigate the associations of the individual or multiple water-soluble vitamins (i.e., vitamin C (VC), vitamin B9 (VB9), and vitamin B12 (VB12)) with co-exposure to MetS, as well as the dose-response relationships among them. Methods: A cross-sectional study was conducted by employing the National Health and Examination Surveys (NHANESs) 2003-2006. Multivariate-adjusted logistic regression models were used to explore the association between individual serum water-soluble vitamins and the risk of MetS and its components, including waist circumference, triglyceride, high-density lipoprotein, blood pressure, and fasting plasma glucose. Restricted cubic splines were performed to explore the dose-response relationships among them. The quantile g-computation method was adopted to explore the associations of multiple water-soluble vitamins co-exposure with MetS risk and MetS components. Results: A total of 8983 subjects were involved in the study, of whom 1443 were diagnosed with MetS. The MetS groups had a higher proportion of participants with age ≥60 years, BMI ≥30 kg/m2, and insufficient physical activity. Compared with the lowest quartile, the third (OR=0.67, 95% CI: 0.48, 0.94) and highest quartiles (OR=0.52, 95%CI: 0.35, 0.76) of VC were associated with lower MetS risk. Restricted cubic splines showed negative dose-response relationships among VC, VB9 and VB12, and MetS. Regarding MetS components, higher VC quartiles were associated with lower waist circumference, triglyceride, blood pressure, and fasting plasma glucose, while higher VC and VB9 quartiles were associated with higher high-density lipoprotein (HDL). Co-exposure to VC, VB9, and VB12 was significantly inversely associated with MetS, with ORs (95% CI) of 0.81 (0.74, 0.89) and 0.84 (0.78, 0.90) in the conditional and marginal structural models, respectively. Furthermore, we found that VC, VB9, and VB12 co-exposure were negatively associated with waist circumference and blood pressure, while VC, VB9, and VB12 co-exposure were positively associated with HDL. Conclusion: This study revealed negative associations of VC, VB9, and VB12 with MetS, while the high water-soluble vitamin co-exposure was associated with a lower MetS risk.

Outage Performance Analysis of NOMA in Wireless Powered Cognitive Radio Networks with AF and DF Relaying Techniques.

Improving spectral efficiency under a certain energy limitation is an important design metric for future wireless communications as a response to the growing transmission demand of wireless devices. In order to improve spectral efficiency for communication systems without increasing energy consumption, this paper considers a non-orthogonal multiple access (NOMA)-based cognitive radio network, with the assistance of a wireless-powered relay station (RS), and then analyzes the system outage performance under amplified-and-forward (AF) and decoded-and-forward (DF) cooperative transmission modes. Specifically, the base station (BS) has the opportunity to cooperate by transmitting information through the RS, depending on whether the RS can harvest sufficient RF energy for cooperative transmission. That is to say, when the energy stored by the RS is sufficient for cooperative transmission, the RS will assist the BS to forward information; otherwise, the BS will send information through direct links, while the RS converts the radio frequency (RF) signals sent by the BS into energy for future transmission. Moreover, the transmission power required by the RS for cooperative transmission is usually relatively large, while the amount of harvested energy by the RS in a transmission slot is usually low, so it takes several consecutive time slots to accumulate enough transmission energy. To this end, we utilize a discrete-time Markov chain to describe the processes of charging and discharging of the RS. Subsequently, we derive the closed-form outage probabilities of both the primary and secondary systems for the considered system in AF and DF modes through mathematical analysis, and verify the accuracy of the analyses through Monte Carlo simulation. The simulation results show that the two proposed cooperative transmission schemes with AF and DF relaying techniques outperform both direct transmission and other similar schemes in both the primary and secondary system, while the DF scheme can provide better performance than the AF scheme within the range of setting values.

Bushen-Huatan-Yizhi formula reduces spatial learning and memory challenges through inhibition of the GSK-3ß/CREB pathway in AD-like model rats.

BACKGROUND: There is an increase in cases of Alzheimer's disease (AD) stemming from a globally ageing population demographic. Although substantial research efforts were performed for the scope of prophylaxis and therapeutic measure development against AD, based on its pathogenesis, most were unsuccessful. Bushen-Huatan-Yizhi formula (BSHTYZ) is extensively implemented to manage dementia. However, few studies have been carried out to understand how BSHTYZ enhances recovery of spatial learning and memory and how it modulates relevant molecular interplays in order to achieve this. PURPOSE: To investigate neuroprotective function, ameliorating learning/memory capacity of BSHTYZ via GSK-3ß / CREB signaling pathway in rat AD models influenced through Aß1-42. METHODS: A total of 60 male SD rats (3 months old) were randomized into six groups and treated with 2.6 µg/µl Aß1-42 (5 µl) into the lateral ventricle, though the control group (Con) was administered an equivalent volume of vehicle. Consequently, the rat cohorts were administered either BSHTYZ or donepezil hydrochloride or normal saline, by intragastric administration, for four weeks. Spatial learning / memory were detected through the Morris water maze, and possible mechanisms detected by histomorphological examination and Western blot in the rat AD models induced by Aß1-42. RESULTS: Spatial learning/memory issues were monitored after Aß1-42 infusion in rats. Simultaneously, neuron loss in cornuammonis1 (CA1) / dentate gyrus (DG) within hippocampus region were identified, together with enhanced black granule staining within the hippocampus and hyperphosphorylated tau within Ser202 and Ser396 sites. It was also elucidated that Aß1-42 had the capacity to up-regulate glycogen synthase kinase-3ß (GSK-3ß) and down-regulate cAMP response element binding protein (CREB). BSHTYZ was found to reverse such molecular interplays. CONCLUSION: The study suggested BSHTYZ could possibly provide neuroprotective role against learning / memory impairment, which provided a potential therapeutic tool delaying the progression of AD molecular interplays that includes the GSK-3ß / CREB signaling pathway.

Suan-Zao-Ren Decoction ameliorates synaptic plasticity through inhibition of the Aß deposition and JAK2/STAT3 signaling pathway in AD model of APP/PS1 transgenic mice.

BACKGROUND: Suan-Zao-Ren Decoction (SZRD) has been widely used to treat neurological illnesses, including dementia, insomnia and depression. However, the mechanisms underlying SZRD's improvement in cognitive function remain unclear. In this study, we examined SZRD's effect on APP/PS1 transgenic mice and mechanisms associated with SZRD's action in alleviating neuroinflammation and improving synaptic plasticity. METHODS: The APP/PS1 mice were treated with different dosages of SZRD (12.96 and 25.92 g/kg/day, in L-SZRD and H-SZRD groups, respectively) for 4 weeks. Morris water maze was conducted to determine changes in behaviors of the mice after the treatment. Meanwhile, in the samples of the hippocampus, Nissl staining and Golgi-Cox staining were used to detect synaptic plasticity. ELISA was applied to assess the expression levels of Aß1-40 and Aß1-42 in the hippocampus of mice. Western blot (WB) was employed to test the protein expression level of Aß1-42, APP, ADAM10, BACE1, PS1, IDE, IBA1, GFAP, PSD95 and SYN, as well as the expressions of JAK2, STAT3 and their phosphorylation patterns to detect the involvement of JAK2/STAT3 pathway. Besides, we examined the serum and hippocampal contents of IL-1ß, IL-6 and TNF-α through ELISA. RESULTS: Compared to the APP/PS1 mice without any treatment, SZRD, especially the L-SZRD, significantly ameliorated cognitive impairment of the APP/PS1 mice with decreases in the loss of neurons and Aß plaque deposition as well as improvement of synaptic plasticity in the hippocampus (P < 0.05 or 0.01). Also, SZRD, in particular, the L-SZRD markedly inhibited the serum and hippocampal concentrations of IL-6, IL-1ß and TNF-α, while reducing the expression of p-JAK2-Tyr1007 and p-STAT3-Tyr705 in the hippocampus of the APP/PS1 mice (P < 0.05 or 0.01). CONCLUSIONS: The SZRD, especially the L-SZRD, may improve the cognitive impairment and ameliorate the neural degeneration in APP/PS1 transgenic mice through inhibiting Aß accumulation and neuroinflammation via the JAK2/STAT3 pathway.

Efficacy and safety of ginkgo preparation in patients with vascular dementia: A protocol for systematic review and meta-analysis.

BACKGROUND: Vascular dementia has become the second most common type of dementia after Alzheimer disease. At present, there is no uniform standard for VaD treatment guidelines among countries. The efficacy of ginkgo biloba in the treatment of vascular dementia is still controversial. The purpose of this study is to evaluate the effectiveness and safety of ginkgo biloba in the treatment of vascular dementia through meta-analysis. METHODS: Six English databases (PubMed, Web of science, Medline, EBASE, Springer Cochrane Library, and WHO International Clinical Trials Registry Platform) and 4 Chinese databases (Wan fang Database, Chinese Scientific Journal Database, China National Knowledge Infrastructure Database(CNKI) and Chinese Biomedical Literature Database) will be searched normatively according to the rule of each database from the inception to August 1, 2020. Two reviewers will independently conduct article selection, data collection, and risk of bias evaluation. Any disagreement will be resolved by discussion with the third reviewer. Either the fixed-effects or random-effects model will be used for data synthesis based on the heterogeneity test. The change in the scores on mini-mental state examination, activity of daily living scale and Montreal cognitive assement will be used as the main outcome measure, Hamilton depression scale, Hastgawa dementia scale, blessed dementia scale, clinical dmentia rating scale as the secondary outcome. Treatment emergent symptom scale, general physical examination (temperature, pulse, respiration, blood pressure), Routine examination of blood, urine and stool, electrocardiogram, liver and kidney function examination as the security indexs. RevMan5.3.5 will be used for meta-analysis. RESULTS: This study will provide high-quality evidence to assess the effectiveness and safety of ginkgo preparation for vascular dementia. CONCLUSION: This systematic review will explore whether ginkgo preparation is an effective and safe intervention for vascular dementia. ETHICS AND DISSEMINATION: Ethical approval are not required for this study. The systematic review will be published in a peer-reviewed journal, presented at conferences, and will be shared on social media platforms. This review will be disseminated in a peer-reviewed journal or conference presentation. PROSPERO REGISTRATION NUMBER: PROSPERO CRD42020167851.

Efficacy and safety of acupuncture combined with western medicine for anxiety: A systematic review protocol.

BACKGROUND: As a common clinical mental disorder, the prevalence rate of anxiety disorder increased yearly, devastating both physical health and social-economic prospect. The most common treatment relied on the use of western medications which is yet to fulfill ideal performance. While acupuncture is adopted as a treatment for anxiety disorders, the combination treatment of acupuncture and western medicines becomes more acknowledged. Albeit a spike in related literatures, the curative effect and safety of the treatment are still in lack of evidence. Therefore, this systematic review and meta-analysis protocol is planned to evaluate the efficacy and safety of the combination treatment of acupuncture and western medications. METHODS: Six English databases (PubMed, Web of science, Medline, EBASE, Springer Cochrane Library and WHO International Clinical Trials Registry Platform) and four Chinese databases (Wan fang Database, Chinese Scientific Journal Database, China National Knowledge Infrastructure Database (CNKI) and Chinese Biomedical Literature Database) will be searched normatively according to the rule of each database from the inception to June 1, 2020. Two reviewers will independently conduct article selection, data collection, and risk of bias evaluation. Any disagreement will be resolved by discussion with the third reviewer. Either the fixed-effects or random-effects model will be used for data synthesis based on the heterogeneity test. The change in the scores on the Hamilton Anxiety Scale (HANA) and the self-rating anxiety scale (SAS) will be used as the main outcome measure, quality of life scale (SF-36), changes of symptoms in TCM, hormone levels and clinical global impression (CGI) as the secondary outcome. treatment emergent symptom scale (TESS), general physical examination(temperature, pulse, respiration, blood pressure), Routine examination of blood, urine and stool, Electrocardiogram, Liver and kidney function examination as the security indexes. RevMan 5.3.5 will be used for meta-analysis. RESULTS: This study will provide high-quality evidence to assess the effectiveness and safety of acupuncture combined with western medicine for anxiety. CONCLUSION: This systematic review will explore whether acupuncture combined with western medicine is an effective and safe intervention for anxiety. ETHICS AND DISSEMINATION: Ethical approval is not required for this study. The systematic review will be published in a peer-reviewed journal, presented at conferences, and will be shared on social media platforms. This review will be disseminated in a peer-reviewed journal or conference presentation. PROSPERO REGISTRATION NUMBER: PROSPERO CRD42020149746.

Efficacy and safety of TCM Yangxin Anshen Therapy for insomnia: A systematic review and meta-analysis.

BACKGROUND: Traditional Chinese Medicine (TCM) has gradually drawn the attention of clinicians as an alternative choice for insomniacs and TCM Yangxin Anshen Therapy (TYAT) is a crucial therapy of treating insomniacs. The purpose of this study was to evaluate the efficacy and safety of TYAT for insomnia. METHODS: Seven electronic databases were searched from inception to July 2019. Two authors independently identified Randomized Controlled Trials (RCTs), extracted data and assessed risk of bias by Cochrane risk bias assessment tool. Comprehensive meta-analysis was conducted with the Review Manager for eligible and appropriate studies. RESULTS: Fourteen trials (1549 participants) were finally included in this study. The included studies were of moderate-to-high quality. Twelve trials reported the specific methods of random sequence generation, and 4 of them used the allocation concealment. Blinding of participants and personnel were used in 7 studies, and blinding of outcome assessment was performed in 3 studies. The main meta-analysis showed: CONCLUSION:: TYAT is an effective alternative therapy for insomnia, and its clinical application appears safe. The conclusions of this paper have a certain reference value for further research and clinical practice. TRIAL REGISTRATION NUMBER: PROSPERO CRD 42019135115.

Hypergraph-Induced Convolutional Networks for Visual Classification.

At present, convolutional neural networks (CNNs) have become popular in visual classification tasks because of their superior performance. However, CNN-based methods do not consider the correlation of visual data to be classified. Recently, graph convolutional networks (GCNs) have mitigated this problem by modeling the pairwise relationship in visual data. Real-world tasks of visual classification typically must address numerous complex relationships in the data, which are not fit for the modeling of the graph structure using GCNs. Therefore, it is vital to explore the underlying correlation of visual data. Regarding this issue, we propose a framework called the hypergraph-induced convolutional network to explore the high-order correlation in visual data during deep neural networks. First, a hypergraph structure is constructed to formulate the relationship in visual data. Then, the high-order correlation is optimized by a learning process based on the constructed hypergraph. The classification tasks are performed by considering the high-order correlation in the data. Thus, the convolution of the hypergraph-induced convolutional network is based on the corresponding high-order relationship, and the optimization on the network uses each data and considers the high-order correlation of the data. To evaluate the proposed hypergraph-induced convolutional network framework, we have conducted experiments on three visual data sets: the National Taiwan University 3-D model data set, Princeton Shape Benchmark, and multiview RGB-depth object data set. The experimental results and comparison in all data sets demonstrate the effectiveness of our proposed hypergraph-induced convolutional network compared with the state-of-the-art methods.

Task and Participant Scheduling of Trading Platforms in Vehicular Participatory Sensing Networks.

The vehicular participatory sensing network (VPSN) is now becoming more and more prevalent, and additionally has shown its great potential in various applications. A general VPSN consists of many tasks from task, publishers, trading platforms and a crowd of participants. Some literature treats publishers and the trading platform as a whole, which is impractical since they are two independent economic entities with respective purposes. For a trading platform in markets, its purpose is to maximize the profit by selecting tasks and recruiting participants who satisfy the requirements of accepted tasks, rather than to improve the quality of each task. This scheduling problem for a trading platform consists of two parts: which tasks should be selected and which participants to be recruited? In this paper, we investigate the scheduling problem in vehicular participatory sensing with the predictable mobility of each vehicle. A genetic-based trading scheduling algorithm (GTSA) is proposed to solve the scheduling problem. Experiments with a realistic dataset of taxi trajectories demonstrate that GTSA algorithm is efficient for trading platforms to gain considerable profit in VPSN.