Research on Molecular Mechanism of Fructus Ligustri Lucidi against Osteoporosis based on Network Pharmacology

Abstract TCMSP platform of systematic pharmacology of traditional Chinese medicine This study aimed to investigate the molecular mechanism of Fructus Ligustri Lucidi (NZZ, Chinese abbreviation) against osteoporosis (OP) by means of network pharmacology.ChemDraw Professional 15.1 software and Molinspiration Smiles database were used to draw the chemical formulas of the components. The active ingredients and related target proteins of NZZ were searched in platform of systematic pharmacology of traditional Chinese medicine database, Drugbank, Therapeutic Target Database, SymMap and other databases. Gene Ontology(GO) enrichment and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis were carried out on the selected target through Enrichr and KEGG Automatic Annotation databases, and their mechanism was studied. A total of 29 compounds and 140 corresponding targets, including 14 key targets and 14 protein factors in protein-protein interaction core network were obtained. The key targets were tumor necrosis factor(TNF), interleukin(IL)-6R and sestrogen receptor alpha. The number of GO items was 466 (P<0.05), including 399 items of biological process (BP), 54 items of cell composition (MF) and 13 items of molecular function (CC). KEGG pathway enrichment screened 85 signaling pathways (P<0.05), including the IL-17 signaling pathway, TNF signaling pathway, advanced glycation end products and their receptors signaling pathway and cAMP signaling pathway. The active ingredients of NZZ. exert their anti-OP effects through multi-components, multi-targets and multi-pathways, which can provide new evidence for further study of their anti-OP mechanism.

Anti urolithiatic activity of Cyperus rotundus tubers: In silico, In vitro and In vivo approaches

Abstract The present research evaluated the anti urolithic potential of Cyperus rotundus tubers extract using in silico, in vitro and in vivo techniques. In silicostudy was performed of Cyperus rotundus constituents and pathological protein oxalate oxidase (PDB Id: 2ETE). In vitrostudy, nucleation and aggregation assay involved for assessment of ethanol extract of Cyperus rotundus tuber (50-3000 µg/ml).In vivo studies involved that the Cyperus rotundusethanolic extract (100, 200 and 400 mg/kg B.wt.) wastreatedonsodium oxalate induced urolithiatic rats for seven days,evaluated kidney function by urine and serum biochemical analysis and statistical analysis performed usingGraphPad prism5 software.In silico results showedthat Cyperus rotundus constituents,Humulene epoxide, 4-Oxo-alpha-ylangene, Cubebol were exhibited better binding energyonoxalate oxidase.Ethanolic extract of Cyperus rotundustuber was exhibited nucleation, aggregation of calcium oxalate monohydrate crystals inhibition in dosedependent manner. Sodium oxalate treatment was triggered biochemical changesin the urine that have been substantially prevented by the ethanolic extract of Cyperus rotundus tuber. The current findings Cyperus rotundus anti urolithic activity due to antioxidant essential oils. The molecular docking results could be used to optimize lead and develop the appropriate urolithiasis treatment.

[Qualification and classification of medical apps : What should be noted and what is BfArM's contribution?] / Abgrenzung und Klassifizierung von Medical Apps : Was ist zu beachten und welche Unterstützung bietet das BfArM?

Smartphones and tablets with their nearly unlimited number of different applications have become an integral part of everyday life. Thus, mobile devices and applications have also found their way into the healthcare sector.For developers, manufacturers, or users as well, it is often difficult to decide whether a mobile health application is a medical device.In this context, it is extremely important for manufacturers to decide at an early stage of the development whether the product is to be introduced into the market as a medical device and is therefore subject to the legislation on medical devices.This article first presents the regulatory framework and subsequently introduces the reader to the Federal Institute for Drugs and Medical Devices' (BfArM) view of the criteria for differentiating between apps as non-medical products and apps as medical apps as well as the classification thereof. Various examples are presented to demonstrate how these criteria are applied practically and options that support developers and manufacturers in their decision making are shown. The article concludes with a reference to current developments and offers a perspective on the new European medical device regulations MDR/IVDR (Medical Device Regulation/In-Vitro Diagnostic Regulation) as well as on future challenges regarding medical apps.

A method to study global spatial patterns related to sensory perception in scalp EEG.

Prior studies of multichannel ECoG from animals showed that beta and gamma oscillations carried perceptual information in both local and global spatial patterns of amplitude modulation, when the subjects were trained to discriminate conditioned stimuli (CS). Here the hypothesis was tested that similar patterns could be found in the scalp EEG human subjects trained to discriminate simultaneous visual-auditory CS. Signals were continuously recorded from 64 equispaced scalp electrodes and band-pass filtered. The Hilbert transform gave the analytic phase, which segmented the EEG into temporal frames, and the analytic amplitude, which expressed the pattern in each frame as a feature vector. Methods applied to the ECoG were adapted to the EEG for systematic search of the beta-gamma spectrum, the time period after CS onset, and the scalp surface to locate patterns that could be classified with respect to type of CS. Spatial patterns of EEG amplitude modulation were found from all subjects that could be classified with respect to stimulus combination type significantly above chance levels. The patterns were found in the beta range (15-22 Hz) but not in the gamma range. They occurred in three short bursts following CS onset. They were non-local, occupying the entire array. Our results suggest that the scalp EEG can yield information about the timing of episodically synchronized brain activity in higher cognitive function, so that future studies in brain-computer interfacing can be better focused. Our methods may be most valuable for analyzing data from dense arrays with very high spatial and temporal sampling rates.

SeqVISTA: a graphical tool for sequence feature visualization and comparison.

BACKGROUND: Many readers will sympathize with the following story. You are viewing a gene sequence in Entrez, and you want to find whether it contains a particular sequence motif. You reach for the browser's "find in page" button, but those darn spaces every 10 bp get in the way. And what if the motif is on the opposite strand? Subsequently, your favorite sequence analysis software informs you that there is an interesting feature at position 13982-14013. By painstakingly counting the 10 bp blocks, you are able to examine the sequence at this location. But now you want to see what other features have been annotated close by, and this information is buried several screenfuls higher up the web page. RESULTS: SeqVISTA presents a holistic, graphical view of features annotated on nucleotide or protein sequences. This interactive tool highlights the residues in the sequence that correspond to features chosen by the user, and allows easy searching for sequence motifs or extraction of particular subsequences. SeqVISTA is able to display results from diverse sequence analysis tools in an integrated fashion, and aims to provide much-needed unity to the bioinformatics resources scattered around the Internet. Our viewer may be launched on a GenBank record by a single click of a button installed in the web browser. CONCLUSION: SeqVISTA allows insights to be gained by viewing the totality of sequence annotations and predictions, which may be more revealing than the sum of their parts. SeqVISTA runs on any operating system with a Java 1.4 virtual machine. It is freely available to academic users at http://zlab.bu.edu/SeqVISTA.