Blood pressure management is an important and complex part of the treatment of acute ischemic stroke. There is no consensus on blood pressure management options for patients with acute ischemic stroke receiving intravenous thrombolysis. Blood pressure levels and blood pressure variability before and after thrombolysis, and timing of blood pressure interventions have significant effects on hemorrhagic transformation, functional outcome, and recurrence risk in patients with acute ischemic stroke. This article reviews the necessity, safety, goals of blood pressure management before and after thrombolysis, and its impact on the outcomes in acute ischemic stroke.

Ischemic stroke patients are often accompanied by complications such as gastrointestinal bleeding, microbiological disorders, and constipation, while intestinal microbiological disorders can affect the progress and prognoses of ischemic stroke. Researchers have found two-way communication between the brain and the intestines, and they communicate with each other through various mechanisms, called gut-brain axis or brain-gut axis. However, researches on ischemic stroke and brain-gut axis are still in its infancy, and further understanding of the potential relation between ischemic stroke and brain-gut axis may be helpful in developing new methods for the treatments of ischemic stroke. This paper reviews the relation between ischemic stroke and brain-gut axis to open up new ideas for preventions and treatments of ischemic stroke.

Personalized management of ischemic stroke prevention and treatment remains a top priority in the field of neurology. The purpose of this article is to elucidate the role of nontraditional lipid profile and traditional lipids in the pathogenesis and recurrence of acute ischemic stroke in order to provide new indicators for stroke prevention, risk grading and high-risk population screening, and attempt to discuss the potential predictive value of nontraditional lipid indicators.

Objective To establish a mathematical prediction model for chronic obstructive pulmonary disease (COPD) by applying an artificial neural network (ANN) and logistic regression analysis method. Methods A cross-sectional survey was conducted in 2015 to collect epidemiological data of COPD of 2 400 residents from Hubei Province. Subjects were randomized into training group and test group at a ratio of 7:3. The prediction models of COPD were established using ANN and logistic multiple regression. The predictive performance of the two models was compared. Results Information from a total of 1 569 subjects was valid and analyzed, including 1,099 cases in the training group and 470 cases in the test group. The area under curve (AUC) of ANN for training group and test group was 0.80 and 0.78, respectively. The AUC of logistic regression for training group and test group was 0.75 and 0.74, respectively. Conclusion It is feasible to apply ANN and logistic regression models to predict COPD, which can provide scientific evidence for COPD prevention and treatment.

ObjectiveTaking Shengxuebao as the model traditional Chinese medicine（TCM）， this study aims to explore the methodologies and transfer patterns in the composition changes of TCM compound preparations from liquid to solid dosage forms. MethodBased on the previously established ultra-high performance liquid chromatography（UPLC） qualitative and quantitative methods for Shengxuebao， the fingerprint profiles of three preparations of Shengxuebao（homemade decoction， commercially available granules and mixtures） were established， and nineteen components were quantitatively analyzed. The similarities of fingerprint profiles among these three preparations were assessed using the Similarity Evaluation System for Chromatographic Fingerprint of TCM（2012 edition） and the total quantum statistical moment similarity method， respectively. The molecular connectivity index （MCI） and the average molar MCI of the chemical components in the three preparations were calculated. Seventy-two MCI values across 0-8 orders， including 8 subclasses， were calculated. The average molar MCI of 0-3 orders was used to study the "imprint template" structural characteristics and transfer patterns of the medicinal component groups. ResultThe similarities of the fingerprint profile of the decoction with those of the control， granules， and mixtures were 0.971， 0.888 and 0.799， respectively， indicating that the chemical composition of the granules and mixtures differed from that of the decoction， and that the 19 components were able to basically respond to the overall situation of the component group of Shengxuebao decoction. The total mass fractions of the detectable major components in Shengxuebao decoction， granules and mixtures was measured to be 5.498 6， 2.282 0， 1.416 6 mg·g^-1， respectively. The average molar MCI of 0-3 orders showed a gradual decrease across the three preparations， with the trend of decoction>granules>mixtures， indicating subtle changes in the overall structural characteristics of the chemical components in the samples of the three preparations. ConclusionAmong the three formulations of Shengxuebao， the traditional decoction contained the highest variety and quantity of components and carried the most substantial amount of component information， with a decreasing order observed in the granules and mixtures. This study further validates that traditional decoction is a reliable and fundamental dosage form， providing a reference for the modernization of TCM dosage forms and the quality consistency evaluation of compound preparations.

Objective: To propose the concept of a novel regional control and prevention (RCP) system for the outbreak of COVID-19 infectious disease, design an emergency epidemic prevention information system based on the existing network architecture and information system in the region, and a remote intelligent medical consultation and remote office platform, research and develop the technology of risk assessment and early warning for people in the region, and improve the regions’prevention and control ability facing emergency of major infectious diseases. Methods: Taking colleges, affiliated (teaching) hospitals, and cloud applications as typical RCP regional units, the existing local area network interaction methods between the cloud and universities and affiliated (teaching) hospitals are established to realize remote work in the network environment, remote medical imaging, psychological and ethical consultation and interaction; applying multi-agent propagation model based on complex network, combining Global Positioning System (GPS), Radio Frequency Identification (RFID), and electronic fence technology, to realize the risk classification and early warning of units and personnel in the area. Results: In the RCP, a system architecture combining campus network, affiliated (teaching) hospital intranet, and the Internet is used. Dynamic connection is made using distributed technology and cloud storage. The data buffer mechanism of the intermediary database in the network realized telemedicine consultation and telecommuting. Relying on the platform, multi-agent propagation model based on complex network and cellular automaton model are used to realize the score and early warning of population exposure risk in the region by using GPS, RFID and electronic fence technology. Conclusions In the epidemic phase of major infectious diseases, the construction of RCP can improve the response speed of wartime epidemic prevention, provide reasonable data-based warnings and risk ratings, and reduce the exposure risk of susceptible people. The design and development of RCP is a systematic project that needs to combine regional structural and functional characteristics, and the foundation of the early informatization work in the region and the level of the emergency development team determine the development progress, maintenance, and actual application effects. It is recommended to establish a peacetime and wartime combined RCP mode and incorporate it into the government's disease control system to improve the national and regional level of prevention and control of major infectious diseases.

A series of 2-(((5-akly/aryl-1-pyrazol-3-yl)methyl)thio)-5-alkyl-6-(cyclohexylmethyl)-pyrimidin-4(3)-ones were synthesized and their anti-HIV-1 activities were evaluated. Most of these compounds were highly active against wild-type (WT) HIV-1 strain (IIIB) with EC values in the range of 0.0038-0.4759 μmol/L. Among those compounds, had an EC value of 3.8 nmol/L and SI (selectivity index) of up to 25,468 indicating excellent activity against WT HIV-1. anti-HIV-1 activity and resistance profile studies suggested that compounds and displayed potential anti-HIV-1 activity against laboratory adapted strains and primary isolated strains including different subtypes and tropism strains (ECs range from 4.3 to 63.6 nmol/L and 18.9-219.3 nmol/L, respectively). On the other hand, it was observed that those two compounds were less effective with EC values of 2.77 and 4.87 μmol/L for HIV-1A (K103N + Y181C). The activity against reverse transcriptase (RT) was also evaluated for those compounds. Both and obtained sub-micromolar IC values showing their potential in RT inhibition. The pharmacokinetics examination in rats indicated that compound has acceptable pharmacokinetic properties and bioavailability. Preliminary structure-activity relationships and molecular modeling studies were also discussed.