ObjectiveTo explore the therapeutic effect of Xuebijing injection （XBJ） on severe acute pancreatitis induced acute lung injury （SAP-ALI） by regulating formyl peptide receptors （FPRs）/nucleotide-binding oligomerization domain-like receptor 3 （NLRP3） inflammatory pathway. MethodsSixty rats were randomly divided into a sham group， a SAP-ALI model group， low-， medium-， and high-dose XBJ groups （4， 8， and 12 mL·kg^-1）， and a positive drug （BOC2， 0.2 mg·kg^-1） group. For the sham group， the pancreas of rats was only gently flipped after laparotomy， and then the abdomen was closed， while for the remaining five groups， SAP-ALI rat models were established by retrograde injection of 5% sodium taurocholate （Na-Tc） via the biliopancreatic duct. XBJ and BOC2 were administered via intraperitoneal injection once daily for 3 d prior to modeling and 0.5 h after modeling. Blood was collected from the abdominal aorta 6 h after the completion of modeling， and the expression of interleukin （IL）-1β， IL-6， and tumor necrosis factor-α （TNF-α） in plasma was measured by enzyme-linked immunosorbent assay （ELISA）. The amount of ascites was measured， and the dry-wet weight ratios of pancreatic and lung tissue were determined. Pancreatic and lung tissue was taken for hematoxylin-eosin （HE） staining to observe pathological changes and then scored. The protein expression levels of FPR1， FPR2， and NLRP3 in lung tissue were detected by the immunohistochemical method. Western blot was used to detect the expression of FPR1， FPR2， and NLRP3 in lung tissue. Real-time fluorescence quantitative polymerase chain reaction （Real-time PCR） was used to detect the mRNA expression of FPR1， FPR2， and NLRP3 in lung tissue. ResultsCompared with the sham group， the SAP-ALI model group showed significantly decreased dry-wet weight ratio of lung tissue （P<0.01）， serious pathological changes of lung tissue， a significantly increased pathological score （P<0.01）， and significantly increased protein and mRNA expression levels of FPR1， FPR2， and NLRP3 in lung tissue （P<0.01）. After BOC2 intervention， the above detection indicators were significantly reversed （P<0.01）. After treatment with XBJ， the groups of different XBJ doses achieved results consistent with BOC2 intervention. ConclusionXBJ can effectively improve the inflammatory response of the lungs in SAP-ALI rats and reduce damage. The mechanism may be related to inhibiting the expression of FPRs and NLRP3 in lung tissue， which thereby reduces IL-1β and simultaneously antagonize the release of inflammatory factors IL-6 and TNF-α.

ObjectiveThis study aims to develop a prediction model for the compatibility of Chinese medicinal pairs based on Graph Convolutional Networks （GCN）， named HC-GCN. The model integrates the properties of herbs with modern pharmacological mechanisms to predict pairs with specific therapeutic effects. It serves as a demonstration by applying the model to predict and validate the efficacy of blood-activating herb pairs. MethodsThe training dataset for herb pair prediction was constructed by systematically collecting commonly used herb pairs along with their characteristic data， including Qi， flavor， meridian tropism， and target genes. Integrating traditional characteristics of herb with modern bioinformatics， we developed an efficacy-oriented herb pair compatibility prediction model （HC-GCN） using graph convolutional networks （GCN）. This model leverages machine learning to capture the complex relationships in herb pair compatibility， weighted by efficacy features. The performance of the HC-GCN model was evaluated using accuracy （ACC）， recall， precision， F1 score （F1）， and area under the ROC curve （AUC）. Its predictive effectiveness was then compared to five other machine learning models： eXtreme Gradient Boosting （XGBoost）， logistic regression （LR）， Naive Bayes， K-nearest neighbor （KNN）， and support vector machine （SVM）. ResultsUsing herb pairs with blood-activating effects as a demonstration， a prediction model was constructed based on a foundational dataset of 46 blood-activating herb pairs， incorporating their Qi， flavor， meridian tropism， and target gene characteristics. The HC-GCN model outperforms other commonly used machine learning models in key performance metrics， including ACC， recall， precision， F1 score， and AUC. Through the predictive analysis of the HC-GCN model， 60 herb pairs with blood-activating effects were successfully identified. Among of these potential herb pairs， 44 include at least one herb with blood-activating effects. ConclusionIn this study， we established an efficacy-oriented compatibility prediction model for herb pairs based on GCN by integrating the unique characteristics of traditional herbs with modern pharmacological mechanisms. This model demonstrated high predictive performance， offering a novel approach for the intelligent screening and optimization of traditional Chinese medicine prescriptions， as well as their clinical applications.

ObjectiveTo delineate the species composition structure and seasonal density fluctuations of mosquito populations in Yangpu District, Shanghai, and to provide scientific insights for the prevention and control of vector-borne diseases. MethodsA total of 12 monitoring sites from different habitats were selected to conduct adult mosquito monitoring using the CO₂ trap light method during 2019‒2023, elucidating the temporal and spatial distribution and change patterns of mosquito populations and densities in Yangpu District. ResultsFrom 2019 to 2023, a total of 1 321 female mosquitoes was captured, with an overall density of 0.16 case·(lamp·h)^-1. The species identified were predominantly Culex pipiens pallens (87.28%), followed by Aedes albopictus (12.64%), and Culex tritaeniorhynchus (0.08%). Seasonal distribution showed a typical single-peak pattern, with June‒August being the peak period. In terms of habitat distribution, the highest mosquito population density was found in residential areas [0.18 case·(lamp·h)^-1], followed by hospitals [0.13 case·(lamp·h)^-1] and parks [0.11 case·(lamp·h)^-1]. Culex pipiens pallens was the dominant species in all habitats, with a density of [0.14 case·(lamp·h)^-1]. Notably, there was a statistically significant difference in the composition of Culex pipiens pallens and Aedes albopictus among the three habitats mentioned(χ²=38.396, P<0.001; χ²=36.790, P<0.001). The mosquito density of the 12 streets from high to low is Changhai Road, Pingliang, Yinhang, Xinjiangwan City, Yanji, Daqiao, Wujiaochang, Kongjiang, Changbai New Village, Jiangpu, Siping and Dinghai.The distribution of mosquito density was relatively balanced across different communities (H=1.559, P=1.000). ConclusionThe results of CO₂ trap light monitoring reveals a relatively low density of adult mosquitoes in Yangpu District, with Culex pipiens pallens as the predominant species, and summer being the peak season for mosquitoes. In light of the threat of mosquito-borne diseases such as dengue fever, more effective and evidence-based mosquito control strategies, aligning with the distribution and behavioral patterns of mosquitoes, should be developed.

OBJECTIVE To provide a detailed report and interpretation of the method and results for determining the weights of the technical indicators from the “multi-dimensional and multi-criteria comprehensive evaluation index system （first edition）” stated in Guideline for Multi-dimensional and Multi-criteria Comprehensive Evaluation of Chinese Patent Medicine. METHODS Normalization calculations were performed on the comprehensive weight values calculated by the analytic hierarchy process and expert weighting method to obtain the objective weights of the indicators. RESULTS The weight results of the six primary dimensions in the current comprehensive evaluation indicator system of Chinese patent medicine showed effectiveness dimension＞ safety dimension＞standard dimension＞application dimension＞scientific dimension＞economic dimension， with weight values of 0.281 0， 0.268 5， 0.195 8， 0.107 3， 0.096 1 and 0.051 3 respectively， consistent with the results of most researches currently. CONCLUSIONS The process of weight determination in this indicator system is scientifically reasonable， with clear methods and clear interpretations， and is worthy of further optimization and widespread application.

Aim To investigate the role of metabolites of eicosapentaenoic acid (EPA) in promoting the transdifferentiation of pancreatic α cells to β cells. Methods Male C57BL/6J mice were injected intraperitoneally with 60 mg/kg streptozocin (STZ) for five consecutive days to establish a type 1 diabetes (T1DM) mouse model. After two weeks, they were randomly divided into model groups and 97% EPA diet intervention group, 75% fish oil (50% EPA +25% DHA) diet intervention group, and random blood glucose was detected every week; after the model expired, the regeneration of pancreatic β cells in mouse pancreas was observed by immunofluorescence staining. The islets of mice (obtained by crossing GCG

Objective:To explore the effects of dexmedetomidine (DEX) on postoperative pain, oxidative stress and adverse reactions in patients undergoing radical mastectomy.Methods:A total of 90 patients with breast cancer who received radical surgical treatment in our hospital from Jun. 2022 to Jun. 2023 were prospectively included as research objects and randomly divided into 3 groups with 30 patients in each group. DEX group was applied before, during and after surgery, respectively. The levels of pain visual analogue scale (VAS), Richmonation sedation score (RASS), superoxide dismu-tase (SOD) and malondialdehyde (MDA) were recorded.Results:The recovery time and extubation time in preoperative and intraoperative DEX group were significantly lower than those in postoperative DEX group, and the awakening time and extubation time in preoperative DEX group were significantly lower than those in intraoperative DEX group ( F value was 48.62 and 53.98, respectively, P<0.001). At 1 h, 6 h and 12 h after surgery, the VAS and RASS scores of patients in the preoperative and intraoperative DEX group were significantly lower than those in the postoperative DEX group, compared with those in the intraoperative DEX group. The VAS and RASS scores in the DEX group were significantly decreased ( F value: 62.34, 55.24, 69.26, 36.82, 24.20, 39.97, P<0.001). At 24h after surgery, there was no significant difference in VAS and RASS scores among the three groups ( F value was 0.45 and 0.81, respectively, P value was 0.613 and 0.418). Immediately after surgery, 24 h after surgery, 72 h after surgery, the SOD level of DEX group was significantly higher than that of DEX group before and during surgery ( F value was 29.37, 33.24, 10.35, P<0.001). MDA levels were significantly lower than those in postoperative DEX group ( F value was 30.52, 41.27, 8.26, P<0.001). There was no significant difference in the incidence of postoperative adverse reactions among all groups ( P>0.05) . Conclusion:Preoperative and intraoperative application of DEX can reduce postoperative pain and oxidative stress in breast cancer patients, help patients recover quickly after surgery, and preoperative application is superior to intraoperative application.

Objective To explore the chemical basis of Shenxianshengmai oral liquid.Method UHPLC-Q Exactive Focus MS/MS technology was used to identify the chemical components of Shenxianshengmai oral liquid.The chromatographic separation was performed on a Thermo Accucore aQ C18 column(150 mm×2.1 mm,2.6 μm)with mobile phase gradient elution of 0.1%formic acid aqueous solution(A)and methanol(B)for 0-13 min,5%-60%B;13-27 min,60%-95%B;27-30 min,95%B,the flow rate was 0.3 mL·min-1,and the column temperature was at 30℃.The mass spectrometry was performed by heating electrospray ionization(H-ESI)with positive and negative ion scanning modes.The scanning range was m/z 120-1800,and the collision energies were 30 eV,50 eV and 70 eV.Result A total of 160 components were identified,including 29 flavonoids,24 organic acids,21 alkaloids,19 terpenoids,15 phenylpropanoids,12 saponins and 40 other components.Six chemical constituents(rutin,psoralenoside,isopsoralenoside,psoralen,isopsoralen and bakuchiol)were confirmed by comparison with reference substances.Conclusion In this study,an UHPLC-Q Exactive Focus MS/MS method has been established for accurate,rapid and systematic identification of the constituents in Shenxian Shengmai oral liquid,which provides an important basis for clarifying the chemical basis and quality control.

Objective To with analyzing the gene expression profile of idiopathic non-cirrhotic portal hypertension(INCPH)by bioinformatics methods,we may obtain its key genes and signaling pathways to explore the molecular mechanism of INCPH and predict the potential traditional Chinese medicine.Methods The gene microarray dataset GSE77627 on INCPH was downloaded from gene expression omnibus(GEO)database,the data were normalized and screened for differential genes(DEGs)of INCPH using R language,and all DEGs were analyzed for gene ontology(GO)and Kyoto encyclopedia of genes and genomes(KEGG)enrichment using Metascape database,and protein-protein interaction network was constructed by STRING database;meanwhile DEGs with the top 15 Degree values were screened as key genes using CytoHubba plugin.Subsequently,the key genes were mapped to each other with the medical ontology information retrieval platform(coremine medical)to screen potential Chinese herbal medicines for the treatment of INCPH with P<0.05,and the potent components that potential Chinese medicines have were screened from the TCMSP database,imported into Cytoscape software to construct a Chinese medicine correlation network map and predict the key targets.Results A total of 1880 DEGs were screened,including 1061 up-regulated and 819 down-regulated genes.DEGs were analyzed using the protein interaction database STRING and cytoHubba in Cytoscape software to obtain key genes,which were RPS27A,CDC42,EIF4E,MAPK1,PIK3R1,RPS6,RPS9,RPS8,RPL15,RPL27A,RPL24,RPL27,RPL26,RPL12 and MAPK14.The GO and KEGG analysis mainly involved gamete production and AGE-RAGE signaling pathway in INCPH.Conclusion The potential traditional Chinese medicines screened for INCPH are Ginseng Radix et Rhizoma,Salviae Miltiorrhizae Radix et Rhizoma,Scutellariae Radix,etc,which may be a potential source of molecular drugs for the treatment of INCPH.

People frequently struggle to juggle their work, family, and social life in today’s fast-paced environment, which can leave them exhausted and worn out. The development of technologies for detecting fatigue while driving is an important field of research since driving when fatigued poses concerns to road safety. In order to throw light on the most recent advancements in this field of research, this paper provides an extensive review of fatigue driving detection approaches based on electroencephalography (EEG) data. The process of fatigue driving detection based on EEG signals encompasses signal acquisition, preprocessing, feature extraction, and classification. Each step plays a crucial role in accurately identifying driver fatigue. In this review, we delve into the signal acquisition techniques, including the use of portable EEG devices worn on the scalp that capture brain signals in real-time. Preprocessing techniques, such as artifact removal, filtering, and segmentation, are explored to ensure that the extracted EEG signals are of high quality and suitable for subsequent analysis. A crucial stage in the fatigue driving detection process is feature extraction, which entails taking pertinent data out of the EEG signals and using it to distinguish between tired and non-fatigued states. We give a thorough rundown of several feature extraction techniques, such as topology features, frequency-domain analysis, and time-domain analysis. Techniques for frequency-domain analysis, such wavelet transform and power spectral density, allow the identification of particular frequency bands linked to weariness. Temporal patterns in the EEG signals are captured by time-domain features such autoregressive modeling and statistical moments. Furthermore, topological characteristics like brain area connection and synchronization provide light on how the brain’s functional network alters with weariness. Furthermore, the review includes an analysis of different classifiers used in fatigue driving detection, such as support vector machine (SVM), artificial neural network (ANN), and Bayesian classifier. We discuss the advantages and limitations of each classifier, along with their applications in EEG-based fatigue driving detection. Evaluation metrics and performance assessment are crucial aspects of any detection system. We discuss the commonly used evaluation criteria, including accuracy, sensitivity, specificity, and receiver operating characteristic (ROC) curves. Comparative analyses of existing models are conducted, highlighting their strengths and weaknesses. Additionally, we emphasize the need for a standardized data marking protocol and an increased number of test subjects to enhance the robustness and generalizability of fatigue driving detection models. The review also discusses the challenges and potential solutions in EEG-based fatigue driving detection. These challenges include variability in EEG signals across individuals, environmental factors, and the influence of different driving scenarios. To address these challenges, we propose solutions such as personalized models, multi-modal data fusion, and real-time implementation strategies. In conclusion, this comprehensive review provides an extensive overview of the current state of fatigue driving detection based on EEG signals. It covers various aspects, including signal acquisition, preprocessing, feature extraction, classification, performance evaluation, and challenges. The review aims to serve as a valuable resource for researchers, engineers, and practitioners in the field of driving safety, facilitating further advancements in fatigue detection technologies and ultimately enhancing road safety.

ObjectiveTo investigate the genetic polymorphism and structure of 47 autosomal microhaplotypes in the Han population in Changshu City, Jiangsu Province, and to evaluate the forensic efficiencies and forensic parameters. MethodsThe DNA library of unrelated individual samples was prepared according to MHSeqTyper47 kit manual and sequenced on the MiSeq FGx platform. Microhaplotype genotyping and sequencing depth statistics were processed using MHTyper. The genetic information of samples was then evaluated. The fixation index and genetic distance between the Jiangsu Changshu population and the reference populations in the 1000 Genomes Project phase 3 (1KG) were calculated, and forensic parameters were evaluated. ResultsThe fixation index and genetic distance between the Han population in Changshu, Jiangsu, and the CHB (Han Chinese in Beijing, China) reference population in 1KG were the lowest. The effective allele number (A_e) of each locus is also the closest between the two populations. The combined matching probability (CMP) of the Changshu Han population is close to the 5 populations of the East Asian reference super-population in 1KG, which is 1.25×10^-36, and the combined probability of exclusion reached 0.999 999 999 964 1. ConclusionThis study reported the genetic polymorphism and allele frequency of 47 microhaplotypes in a Han population in Changshu City, Jiangsu Province. This information provides a data basis for 47 microhaplotypes in forensic applications. In addition, the polymorphism differences between the 1KG reference population and the Han population in Changshu, Jiangsu were compared, and the genetic structure of 47 microhaplotypes in the Han population in Changshu, Jiangsu was revealed. In general, the reference data of the East Asian super-population in 1KG is more in line with the genetic characteristics of Han population in Changshu, Jiangsu.