ObjectiveTo explore the possible mechanisms by which ligustilide （LIG） exerts neuroprotective effects on ischemic stroke （IS） by inhibiting the release of neutrophil extracellular traps （NETs）， promoting blood-brain barrier repair， and alleviating post-ischemic neuroinflammation， thereby providing a new direction for IS treatment. MethodsA middle cerebral artery occlusion （MCAO） model was established in rats. The rats were divided into the sham operation （Sham） group， model （Model） group， low- and high-dose LIG groups （20， 40 mg·kg^-1）， and the NET inhibitor CI-amidine group （CI-amidine， 10 mg·kg^-1）. Drug treatments were administered for 3 days. Neurological injury after ischemia was evaluated by 2，3，5-triphenyltetrazolium chloride （TTC） staining， neurological deficit scoring， and brain index measurement. Flow cytometry and Western blot were used to analyze changes in neutrophil expression. Immunofluorescence was used to observe the fluorescence intensity of the NET marker citrullinated histone H3 （H3Cit）. Western blot was performed to detect the expression of blood-brain barrier tight junction-related proteins and inflammatory factors， including interleukin-18 （IL-18） and interleukin-1β （IL-1β）. ResultsCompared with the Sham group， the Model group exhibited significant brain tissue injury （P<0.05）， significantly increased neutrophil numbers and NET expression （P<0.05）， significantly impaired blood-brain barrier permeability （P<0.05）， and significantly increased expression of inflammatory factors （P<0.05）. Compared with the Model group， both low- and high-dose LIG significantly alleviated brain tissue injury in rats （P<0.01）， inhibited neutrophil numbers and NET expression （P<0.01）， reduced blood-brain barrier damage （P<0.01）， and suppressed the expression of inflammatory factors IL-18 and IL-1β （P<0.01）， thereby ultimately exerting a neuroprotective effect. ConclusionThe neuroprotective effect of LIG in rats with cerebral ischemia-reperfusion injury may be related to inhibition of neutrophils and the NETs induced by them.

ObjectiveTo explore the possible mechanisms by which ligustilide （LIG） exerts neuroprotective effects on ischemic stroke （IS） by inhibiting the release of neutrophil extracellular traps （NETs）， promoting blood-brain barrier repair， and alleviating post-ischemic neuroinflammation， thereby providing a new direction for IS treatment. MethodsA middle cerebral artery occlusion （MCAO） model was established in rats. The rats were divided into the sham operation （Sham） group， model （Model） group， low- and high-dose LIG groups （20， 40 mg·kg^-1）， and the NET inhibitor CI-amidine group （CI-amidine， 10 mg·kg^-1）. Drug treatments were administered for 3 days. Neurological injury after ischemia was evaluated by 2，3，5-triphenyltetrazolium chloride （TTC） staining， neurological deficit scoring， and brain index measurement. Flow cytometry and Western blot were used to analyze changes in neutrophil expression. Immunofluorescence was used to observe the fluorescence intensity of the NET marker citrullinated histone H3 （H3Cit）. Western blot was performed to detect the expression of blood-brain barrier tight junction-related proteins and inflammatory factors， including interleukin-18 （IL-18） and interleukin-1β （IL-1β）. ResultsCompared with the Sham group， the Model group exhibited significant brain tissue injury （P<0.05）， significantly increased neutrophil numbers and NET expression （P<0.05）， significantly impaired blood-brain barrier permeability （P<0.05）， and significantly increased expression of inflammatory factors （P<0.05）. Compared with the Model group， both low- and high-dose LIG significantly alleviated brain tissue injury in rats （P<0.01）， inhibited neutrophil numbers and NET expression （P<0.01）， reduced blood-brain barrier damage （P<0.01）， and suppressed the expression of inflammatory factors IL-18 and IL-1β （P<0.01）， thereby ultimately exerting a neuroprotective effect. ConclusionThe neuroprotective effect of LIG in rats with cerebral ischemia-reperfusion injury may be related to inhibition of neutrophils and the NETs induced by them.

Objective To investigate the characteristics and patterns of electroacupuncture parameters in hypertension mechanism research using data mining technology.Methods Computerized searches were conducted in multiple databases including China National Knowledge Infrastructure(CNKI),Wanfang Academic Journal Full-text Database,VIP Chinese Sci-Tech Journal Database,China Biology Medicine disc(CBM),PubMed,and Web of Science.The search period spanned from the inception of each database to July 2024.Basic research studies on electroacupuncture treatment for hypertension were collected to establish an electroacupuncture parameter database for hypertension.Descriptive statistics and association analysis were performed on the extracted data.Results The initial search yielded 13 977 publications.After screening,112 articles were ultimately included for analysis.The analysis revealed that the top three most frequently used acupoints were Zusanli(ST36),Quchi(LI11),and Taichong(LR3).The most commonly employed stimulation parameters were:continuous wave,2 Hz frequency,1 mA or 2 mA intensity,once daily treatment,30 minutes per session,with a total treatment duration of 28 days or 14 days.Conclusion In hypertension mechanism research,electroacupuncture stimulation parameters are predominantly characterized by low-frequency and low-intensity stimulation,with a treatment duration typically of 28 days.However,these parameter characteristics are primarily applied in mechanistic studies,and their translation to clinical practice requires further investigation.

The advent of digital times promotes the evolution of clinical research from traditional mode to digital mode. Digital technologies， which are introduced to clinical research of traditional Chinese medicine （TCM）， can optimize the research design， improve research quality， and save research funds and time. The digital and remote control of clinical research recruitment and screening， disease diagnosis and treatment， informed consent， indicator measurement， and other processes can be realized by computers， networks， sensors， and other technologies. Artificial intelligence （AI） algorithms， wearable monitoring devices， data management tools， blockchain， and virtual clinical trials （VCTs） are key innovation technologies and research design methods. On this basis， this study summarized relevant literature on key digital technologies and research methods such as AI algorithms， wearable monitoring devices， data management tools， blockchain， and VCT， and the following discoveries were obtained： The future development of clinical research of TCM requires to attach importance to the changes in clinical research brought by digital technologies and to promote the utilization of digital technologies in clinical research of TCM. Digital technologies realize the medical ethical ideas of ''putting people first''， promote the decentralization of clinical research， simplify the participation process of participants， reduce the time and cost of clinical research， improve the efficiency of clinical research of TCM， and enhance the objectivity， authenticity， and stability of clinical research of TCM. Deepening the application of digital technologies in clinical research and realizing the interaction and fusion of various digital technologies are inevitable trends of future development of clinical research of TCM. Under the background of digitization， the digital innovation of clinical research of TCM can accelerate the development of clinical research of TCM and promote the internationalization of TCM.

Objective:To comprehensively evaluate the high-quality development of some tertiary public hospitals in C city, and explore the high-quality development path of municipal public hospitals, so as to provide a basis for the formulation of relevant policies.Methods:Based on the relevant policy documents of the evaluation indicators for the high-quality development of public hospitals, and around the four dimensions of medical quality, economic efficiency, sustainable development and satisfaction, the entropy weight TOPSIS-RSR method was adopted to comprehensively evaluate the high-quality development of some tertiary public hospitals in C city in 2019 and 2020. It included all five municipal comprehensive tertiary public hospitals in C city, and included one provincial and two county-level tertiary public hospitals for comparative study.Results:In 2019 and 2020, the number of medical cooperation, the surplus of income and expenditure, and the entropy weight of scientific research project funding per 100 health technicians were large, which were the key indicators to evaluate the high-quality development of public hospitals, with the values of 0.096 and 0.109, 0.119 and 0.141, 0.123 and 0.124, respectively. According to the best classification principle, the provincial, municipal and county-level public hospitals in C city could be divided into three levels of " good" , " medium" and " poor" , and the development gap between these levels was large.Conclusions:The development of municipal public hospitals in C city has achieved remarkable results, but there are still such problems as uneven distribution of medical resources, insufficient motivation for talent training, relatively lagging discipline construction, and insufficient advantages and characteristics. In this regard, we should further optimize the allocation of medical resources, improve the operation and management system, clarify the social functions of public hospitals, and scientifically allocate core resources.

Objective To investigate the expression of hypoxia inducible factor 1?(HIF-1?),vascular endothelial growth factor(VEGF) and micro vessel density(MVD) in gastric carcinoma and to explore their correlation with clinical pathological features such as cancer invasion and metastasis.Methods Forty-eight samples of gastric carcinoma tissues were examined for the expression of HIF-1?,VEGF and CD34 by immunohistochemical method.Results The positive expression rates of HIF-1? and VEGF were 66.7% and 60.4% in gastric carcinoma respectively.The mean value of MVD was 42.5?14.7 in gastric carcinoma.The expressions of HIF-1?,VEGF and the value of MVD were significantly correlated with the depth of invasion,lymph node metastasis and TNM stage.The HIF-1? expression was positively correlated with VEGF expression and MVD value.Conclusion The overexpression of HIF-1?,VEGF and MVD consist in gastric carcinoma tissue.The HIF-1? expression is positively correlated with VEGF expression and MVD value.The overexpression of HIF-1?,VEGF and MVD value are closely related with invasion,metastasis and poor biological behavior of gastric carcinoma.