[Determination of plasma protein binding rate of Shuganning Injection using equilibrium dialysis and UPLC-MS/MS].

Traditional Chinese medicine(TCM) compound preparations have complex compositions. As a widely used TCM injection, Shuganning Injection, its in vivo processes are not yet fully understood. Determining the plasma protein binding rate is of great significance for pharmacokinetic and pharmacodynamic studies. In this experiment, the equilibrium dialysis method combined with UPLC-MS/MS technology was used to determine the plasma protein binding rates of 10 components, including p-hydroxyacetophenone, caffeic acid, baicalein, oroxylin A, geniposide, baicalin, cynaroside, oroxylin A-7-O-ß-D-glucuronide, scutellarin, and hyperoside, in Shuganning Injection in rat and human plasma to provide a theoretical basis for further elucidating the in vivo processes of Shuganning Injection and guiding clinical medication. The results showed that, except for baicalein and geniposide, the plasma protein binding rates of the other eight components were higher in human plasma than in rat plasma, and there were interspecies differences. In human plasma, except for geniposide, caffeic acid, and baicalin, the plasma protein binding rates of the remaining seven components were above 80%, with baicalein and oroxylin A exceeding 90%. All components exhibit a high level of binding to plasma proteins, with the exception of geniposide.

Chemical profiling and quantification of multiple components in Jin-Gu-Lian capsule using a multivariate data processing approach based on UHPLC-Orbitrap Exploris 240 MS and UHPLC-MS/MS.

The Jin-Gu-Lian capsule, a Chinese Miao herbal compound, is widely used to treat rheumatoid arthritis. In this study, a rapid, selective, and sensitive UHPLC-Orbitrap Exploris 240 MS method was developed to analyze the chemical composition of Jin-Gu-Lian capsules. A total of 88 compounds were identified, including 23 flavonoids, 23 organic acids, 14 phenylpropanoids, 12 phenols, eight alkaloids, four terpenes, three quinones, and one ketone. Among these, 21 compounds were clearly detected based on a comparison with reference standards and selected as quality control markers. Thereafter, these compounds were simultaneously determined in the Jin-Gu-Lian capsules. The established method was successfully validated and applied for the simultaneous determination of 21 biologically active compounds in Jin-Gu-Lian capsules of 27 sample batches. Quantitative data of the analytes were analyzed using multivariate statistical analysis to determine the quality of the Jin-Gu-Lian capsules. Four compounds (JGLC6 [salidroside], JGLC8 [chlorogenic acid], JGLC12 [liriodendrin], JGLC19 [quercetin]) were identified as chemical markers for quality control of Jin-Gu-Lian capsules. Altogether, the established method was validated as a novel and efficient tool, that can be used for rapid analysis of Jin-Gu-Lian capsules. Accordingly, this study serves as a reference for scientific research on traditional Chinese and ethnic medicine.

A Novel Methodology for Series Arc Fault Detection by Temporal Domain Visualization and Convolutional Neural Network.

AC arc faults are one of the most important causes of residential electrical wiring fires, which may produce extremely high temperatures and easily ignite surrounding combustible materials. The global interest in machine learning-based methods for arc fault diagnosis applications is increasing due to continuous challenges in efficiency and accuracy. In this paper, a temporal domain visualization convolutional neural network (TDV-CNN) methodology is proposed. The current transformer and high-speed data acquisition system are used to collect the current of a series of arc faults, then the signal is filtered by a digital filter and converted into a gray image in time sequence before being fed into TDV-CNN. Five different electric loads were selected for experimental validation with various signal characteristics, including vacuum cleaner, fluorescent lamp, dimmer, heater, and desktop computer. The experimental results confirm that the classification accuracy of the five loads' work states in the ten categories could reach 98.7% or even higher by adjusting parameters perfectly. The methodology is believed to be reliable for series arc detection with relatively high accuracy and also has important potential applications in other fault diagnosis fields.

A Source Anonymity-Based Lightweight Secure AODV Protocol for Fog-Based MANET.

Fog-based MANET (Mobile Ad hoc networks) is a novel paradigm of a mobile ad hoc network with the advantages of both mobility and fog computing. Meanwhile, as traditional routing protocol, ad hoc on-demand distance vector (AODV) routing protocol has been applied widely in fog-based MANET. Currently, how to improve the transmission performance and enhance security are the two major aspects in AODV's research field. However, the researches on joint energy efficiency and security seem to be seldom considered. In this paper, we propose a source anonymity-based lightweight secure AODV (SAL-SAODV) routing protocol to meet the above requirements. In SAL-SAODV protocol, source anonymous and secure transmitting schemes are proposed and applied. The scheme involves the following three parts: the source anonymity algorithm is employed to achieve the source node, without being tracked and located; the improved secure scheme based on the polynomial of CRC-4 is applied to substitute the RSA digital signature of SAODV and guarantee the data integrity, in addition to reducing the computation and energy consumption; the random delayed transmitting scheme (RDTM) is implemented to separate the check code and transmitted data, and achieve tamper-proof results. The simulation results show that the comprehensive performance of the proposed SAL-SAODV is a trade-off of the transmission performance, energy efficiency, and security, and better than AODV and SAODV.

The function of Bazhen decoction in rescuing progeroid cell senescence via facilitating G-quadruplex resolving and telomere elongation.

ETHNOPHARMACOLOGICAL RELEVANCE: The Bazhen decoction is one of the most extensively used Traditional Chinese medicine (TCM) prescriptions for treatment of aging related diseases. However, due to the complexity of the components, the pharmacological mechanism of Bazhen decoction is still limited. AIM OF THE STUDY: In this study, with the aim of helping the clinical precision medicine of TCM, we try out a systematic analysis for dissecting the molecular mechanism of complicated TCM prescription: Bazhen decoction. We identify the pharmacological mechanism of Bazhen decoction in telomere elongation as revealed by systematic analysis. MATERIALS AND METHODS: By RNA sequencing and transcriptome analysis of Bazhen decoction treated wild type cells, we reveal the transcriptome profile induced by Bazhen decoction. We utilized the cells derived from Werner syndrome (WS) mice, which is known to be dysfunctional in telomere elongation due to the deficiency of DNA helicase Wrn. By Western blot, qPCR, Immunofluorescence, flow cytometry, telomere FISH, and SA-ß-Gal staining, we verify the transcriptome data and confirm the pharmacological function of Bazhen decoction and its drug containing serum in telomere elongation and reversing progeroid cell senescence. RESULTS: We reveal that Bazhen decoction may systematically regulate multiple anti-aging pathways, including stem cell regulation, protein homeostasis, cardiovascular function, neuronal function, anti-inflammation, anti-DNA damage induced stress, DNA helicase activity and telomere lengthening. We find that Bazhen decoction and its drug containing serum could up-regulate multiple DNA helicases and telomere regulating proteins. The increased DNA helicases promote the resolving of G-quadruplex (G4) structures, and facilitate DNA replication and telomere elongation. These improvements also endow the cellular resistance to DNA damages induced by replication stress, and rescue the WS caused cellular senescence. CONCLUSIONS: Together these data suggest that Bazhen decoction up-regulate the expression of DNA helicases, thus facilitate G4 resolving and telomere maintenance, which rescue the progeroid cellular senescence and contribute to its anti-aging properties. Our data reveal a new molecular mechanism of Bazhen decoction in anti-aging related diseases via elongating telomere, this may shed light in the application of Bazhen decoction in multiple degenerative diseases caused by telomere erosion.

Investigation into the effect of upstream obstacles and hazardous sources on dispersion in the urban environment with LES model.

The release of hazardous materials originated from industrial/natural accidents or intentional attacks within a compact urban environment can be disastrous. Once released, the hazardous pollutants will be dispersed through the atmosphere instantaneously and threaten human health. This study aims at evaluating the overall effect of upstream obstacles and hazardous sources on the downstream targets through parametric investigations. A complex building morphology composed of obstacle group, target group, one main street canyon and several subsidiary street canyons is proposed. The dimensional parameters along with the sources are set as variables. An orthogonal numerical test with Large Eddy Simulation (LES) model is carried out, indicating that the source conditions play a more important role than the obstacles dimension in pollutants accumulation around targets. The flow and dispersion structures are categorized into five patterns, which are strongly relevant to the dimension parameters. Due to the upstream perturbation, the sidewalls of targets are found to be contaminated more seriously than the obstacles, while both their windward and leeward walls have a lower concentration of pollutants.