Material basis and molecular mechanisms of Chaihuang Qingyi Huoxue Granule in the treatment of acute pancreatitis based on network pharmacology and molecular docking-based strategy.

Objectives: This study aimed to analyze active compounds and signaling pathways of CH applying network pharmacology methods, and to additionally verify the molecular mechanism of CH in treating AP. Materials and methods: Network pharmacology and molecular docking were firstly used to identify the active components of CH and its potential targets in the treatment of AP. The pancreaticobiliary duct was retrogradely injected with sodium taurocholate (3.5%) to create an acute pancreatitis (AP) model in rats. Histological examination, enzyme-linked immunosorbent assay, Western blot and TUNEL staining were used to determine the pathway and mechanism of action of CH in AP. Results: Network pharmacological analysis identified 168 active compounds and 276 target proteins. In addition, there were 2060 targets associated with AP, and CH had 177 targets in common with AP. These shared targets, including STAT3, IL6, MYC, CDKN1A, AKT1, MAPK1, MAPK3, MAPK14, HSP90AA1, HIF1A, ESR1, TP53, FOS, and RELA, were recognized as core targets. Furthermore, we filtered out 5252 entries from the Gene Ontology(GO) and 186 signaling pathways from the Kyoto Encyclopedia of Genes and Genomes(KEGG). Enrichment and network analyses of protein-protein interactions predicted that CH significantly affected the PI3K/AKT signaling pathway, which played a critical role in programmed cell death. The core components and key targets showed strong binding activity based on molecular docking results. Subsequently, experimental validation demonstrated that CH inhibited the phosphorylation of PI3K and AKT in pancreatic tissues, promoted the apoptosis of pancreatic acinar cells, and further alleviated inflammation and histopathological damage to the pancreas in AP rats. Conclusion: Apoptosis of pancreatic acinar cells can be enhanced and the inflammatory response can be reduced through the modulation of the PI3K/AKT signaling pathway, resulting in the amelioration of pancreatic disease.

[Usage of ethnomedicine on COVID-19 in China].

In December 2019, an outbreak of viral pneumonia began in Wuhan, Hubei Province, which caused the spread of infectious pneumonia to a certain extent in China and neighboring countries and regions, and triggered the epidemic crisis. The coronavirus disease 2019(COVID-19) is an acute respiratory infectious disease listed as a B infectious disease, which is managed according to standards for A infectious disease. Traditional Chinese medicine and integrated traditional Chinese and Western medicine have played an active role in the prevention and control of this epidemic. China's ethnomedicine has recognized infectious diseases since ancient times, and formed a medical system including theory, therapies, formula and herbal medicines for such diseases. Since the outbreak of the COVID-19 epidemic, Tibet Autonomous Region, Qinghai Province, Inner Mongolia Autonomous Region, Xinjiang Uygur Autonomous Region and Chuxiong Autonomous Prefecture of Yunnan, Qiandongnan Autonomous Prefecture of Guizhou have issued the prevention and control programs for COVID-19 using Tibetan, Mongolian, Uygur, Yi and Miao medicines. These programs reflect the wisdom of ethnomedicine in preventing and treating diseases, which have successfully extracted prescriptions and preventive measures for the outbreak of the epidemic from their own medical theories and traditional experiences. In this paper, we summarized and explained the prescriptions and medicinal materials of ethnomedicine in these programs, and the origin of Tibetan medicine prescriptions and Mongolian medicine prescriptions in ancient books were studied. These become the common characteristics of medical prevention and treatment programs for ethnomedicine to formulate therapeutic programs under the guidance of traditional medicine theories, recommend prescriptions and prevention and treatment methods with characteristics of ethnomedicine, and focus on the conve-nience and standardization. However, strengthening the support of science and technology and the popularization to the public, and improving the participation of ethnomedicine in national public health services and the capacity-building to deal with sudden and critical diseases are key contents in the development of ethnomedicine in the future.

Analysis of Chaotic Resonance in Izhikevich Neuron Model.

In stochastic resonance (SR), the presence of noise helps a nonlinear system amplify a weak (sub-threshold) signal. Chaotic resonance (CR) is a phenomenon similar to SR but without stochastic noise, which has been observed in neural systems. However, no study to date has investigated and compared the characteristics and performance of the signal responses of a spiking neural system in some chaotic states in CR. In this paper, we focus on the Izhikevich neuron model, which can reproduce major spike patterns that have been experimentally observed. We examine and classify the chaotic characteristics of this model by using Lyapunov exponents with a saltation matrix and Poincaré section methods in order to address the measurement challenge posed by the state-dependent jump in the resetting process. We found the existence of two distinctive states, a chaotic state involving primarily turbulent movement and an intermittent chaotic state. In order to assess the signal responses of CR in these classified states, we introduced an extended Izhikevich neuron model by considering weak periodic signals, and defined the cycle histogram of neuron spikes as well as the corresponding mutual correlation and information. Through computer simulations, we confirmed that both chaotic states in CR can sensitively respond to weak signals. Moreover, we found that the intermittent chaotic state exhibited a prompter response than the chaotic state with primarily turbulent movement.

Modeling fluctuations in default-mode brain network using a spiking neural network.

Recently, numerous attempts have been made to understand the dynamic behavior of complex brain systems using neural network models. The fluctuations in blood-oxygen-level-dependent (BOLD) brain signals at less than 0.1 Hz have been observed by functional magnetic resonance imaging (fMRI) for subjects in a resting state. This phenomenon is referred to as a "default-mode brain network." In this study, we model the default-mode brain network by functionally connecting neural communities composed of spiking neurons in a complex network. Through computational simulations of the model, including transmission delays and complex connectivity, the network dynamics of the neural system and its behavior are discussed. The results show that the power spectrum of the modeled fluctuations in the neuron firing patterns is consistent with the default-mode brain network's BOLD signals when transmission delays, a characteristic property of the brain, have finite values in a given range.

[Association of a high ankle brachial index with microvascular diseases of diabetes].

OBJECTIVE: To evaluate the association of a high ankle brachial index (ABI) with microvascular diseases of diabetes and to compare its strength with that of a low ABI. METHODS: ABI was obtained in 3293 patients undergoing the screening of chronic complications at the Diabetic Center, No. 306 Hospital of PLA during the period of September 2003 to June 2010. The patient profiles and laboratory data were reviewed. The associations of ABI with microvascular diseases of diabetes were determined by univariate and stepwise Logistic regression analysis. RESULTS: ABI was normal in 3060 patients. 44 had ABI measurements < 0.7, 139 had ABI measurements between 0.7 - 0.9, and 50 had ABI measurements > 1.3. Multivariate analysis indicated that the factors significantly associated with a high ABI were smoking (OR: 2.605; 95%CI: 1.458 - 4.656, P = 0.001) and systolic blood pressure (OR: 1.019; 95%CI: 1.005 - 1.033, P = 0.006). The conditions of nephropathy, neuropathy and retinopathy were not associated with a high ABI. CONCLUSION: Diabetics with a high ABI carry not more adverse atherosclerotic risk factors and suffer no more severe microvascular diabetic complications than those with a normal ABI.

Prevalence and risk factors of prolonged QTc interval among Chinese patients with type 2 diabetes.

OBJECTIVES: The aim of this study was to evaluate the prevalence and the risk factors of prolonged QTc interval among Chinese patients with type 2 diabetes. METHODS: The retrospective study included 3156 outpatients from the Diabetes Centre, the 306th Hospital of PLA, during the period from September 2003 to June 2010. QT interval was measured manually in the 12-lead conventional electrocardiogram. The QT interval corrected for heart rate (QTc) was calculated using Bazett's formula. Additional demographic and laboratory data were also collected. Potential risk factors of prolonged QTc interval were assessed using multivariable regression. RESULTS: The prevalence of prolonged QTc interval among Chinese patients with type 2 diabetes was 30.1%. Height (OR 0.156, 95% CI 0.032~0.748), waist circumference (OR 1.025, 95% CI 1.010~1.040), diastolic blood pressure (OR 1.016, 95% CI 1.007~1.026), postprandial glucose (OR 1.040, 95% CI 1.022~1.059), fasting insulin (OR 1.014, 95% CI 1.003~1.025), and presence of microalbuminuria (OR 1.266, 95% CI 1.033~1.551) were significant risk factors. CONCLUSIONS: The prevalence of prolonged QTc interval among Chinese patients with type 2 diabetes is high. Risk factors for prolongation of QTc interval were low height, high waist circumference, increasing diastolic blood pressure levels, high postprandial glucose levels, high fasting insulin levels, and presence of microalbuminuria.

Design and analysis of molecular relay channels: an information theoretic approach.

In this paper, we consider a molecular relay channel in which signal molecules are transmitted by a sender of communication, propagated, amplified, removed in the channel, and sensed by the receiver of communication that decodes the signal molecules. To understand and characterize the communication capacity of the molecular relay channel, we develop an information communication model that consists of the transmitter, channel, and receiver. Mutual information is used to quantify the amount of information that is transfered from the transmitter through the channel to the receiver. The method employed and results presented in this paper may help elucidate design principles of biological systems as well as help in the design and engineering of synthetic biological systems from the perspective of information theory.

Fullerol-fluorescein isothiocyanate phosphorescent labeling reagent for the determination of glucose and alkaline phosphatase.

The active -OH group in fullerol (F-ol) could react with the dissociated -COOH group in fluorescein isothiocyanate (FITC) to form F-ol-(FITC)(n), which could emit room temperature phosphorescence (RTP) signal of F-ol and FITC on acetate cellulose membrane (ACM), respectively. Their RTP signals were enhanced by N,N-dimethylaniline (DMA). The labeling reaction between the -NCS group of FITC in DMA-F-ol-(FITC)(n) and the -NH2 group in wheat germ agglutinin (WGA) produced DMA-F-ol-(FITC)(n)-WGA, which could further take affinity adsorption (AA) reaction with bioactive substances (BS), such as glucose and alkaline phosphatase (AP), to produce DMA-F-ol-(FITC)(n)-WGA-BS. Both of these two products could maintain the good RTP characteristics of F-ol and FITC. Based on the facts above, a new phosphorescent labeling reagent, DMA-F-ol-FITC, was developed, and a new affinity adsorption solid substrate room temperature phosphorimetry (AASSRTP) for the determination of BS was established. This method was applied to the determination of BS in human serum and the diagnosis of diseases, with the results agreeing very well with those of enzyme-linked immunosorbent assay (ELISA). The mechanism of DMA-F-ol-(FITC)(n) labeling of WGA and AASSRTP for the determination of BS is discussed.

A biomolecular computing method based on Rho family GTPases.

In this paper, we propose a new biomolecular computing method based on Rho family GTPases, and discuss the schemes of representation and operations of molecular computing by Rho family GTPases applied to solve large-scale 3-SAT problems. We also present the optimal condition for the regulation schemes dependent on the temperature, kinase activity, and types of cells. This work is important for potential implementation of biomolecular computers using Rho family GTPases in which an optimized controlling scheme can make the best use of the interactions of signaling pathways in a computing system made by the large-scale abundance of kinases and phosphatases in cells.