Aim To investigate the effects of the fangchinoline derivative LYY-32 on the biological prop-erties of the BLM642-1290 DNA helicase,in order to lay a foundation for further research on its antitumor activity.Methods Fluorescence polarization assay,malachite green-phosphate and ammonium molybdate colorime-try,and fluorescein-labeled DNA gel electrophoresis experiments were conducted to study the effects of fangchinoline derivative LYY-32 on the DNA binding activity,ATPase activity,and DNA unwinding activity of BLM642-1290 DNA helicase.The effects of LYY-32 on the DNA unwinding activity of DNA helicase in cells were studied using fluorescent techniques and time-lapse microscopy.Ultraviolet spectral scanning was used to investigate the effects of LYY-32 on the confor-mation of the BLM642-1290 DNA helicase.Results At a concentration of 10 μmol·L-1,the inhibition rate of LYY-32 on BLM642-1290 DNA helicase binding to dsDNA was 53.17％.At a concentration of 5 μmol·L-1,the inhibition rate of LYY-32 on BLM642-1290 DNA helicase binding to ssDNA was 88.49％.The inhibition rate of LYY-32 on the ATPase activity of BLM642-1290 DNA he-licase was 89.3％at a concentration of 50 μmol·L-1.When the concentration of LYY-32 exceeded 5μmol·L-1,its inhibition rate on the DNA unwinding activity of BLM642-1290 DNA helicase was 100％.LYY-32 also significantly inhibited the DNA unwinding ac-tivity of DNA helicase in cells.However,LYY-32 had no effect on the conformation of BLM642-1290 DNA heli-case.Conclusion The DNA binding activity,AT-Pase activity,and DNA unwinding activity of BLM642-1290 DNA helicase could be significantly inhibi-ted by the fangchinoline derivative LYY-32.

Objective:To investigate the levels of C reactive protein(CRP)and interleukin(IL)-6 in patients with myocardial infarction(MI)and their association with cardiac function.Methods:We enrolled 140 MI patients ad-mitted to Sanya Harbin Medical University Hongsen Hospital Co.,Ltd between January 2020 and December 2022,as MI group.According to coronary stenotic severity,they were divided into mild group(n=62),moderate group(n=41)and severe group(n=37),and 75 healthy individuals who underwent physical examination simultaneously were selected as control group.Serum CRP,IL-6,cardiac troponin Ⅰ(cTnⅠ)and creatine kinase isoenzyme MB(CK-MB)levels were measured by automatic biochemical analyzer,and left ventricular ejection fraction(LVEF)was assessed by echocardiography.Above-mentioned indexes were compared between MI group and control group,and among groups of different coronary disease severity.Pearson/Spearman correlation was used to analyze the asso-ciation of serum CRP and IL-6 levels with Gensini score,cTnⅠ,CK-MB levels,and LVEF in MI patients.Diag-nostic value of serum CRP and IL-6 levels for MI was analyzed by receiver operating characteristic(ROC)curve.Results:Compared with participants in control group,those in MI group had significant higher serum CRP,IL-6,cTnⅠ and CK-MB,and significant lower LVEF(P＜0.001 all).Serum CRP,IL-6,cTnⅠ and CK-MB levels sig-nificantly increased,and LVEF significant decreased in the order of mild group,moderate group and severe group(P＜0.01 all).Pearson/Spearman correlation analysis showed that serum CRP and IL-6 levels were positively cor-related with Gensini score,cTnⅠ,and CK-MB levels(r=0.496～0.646,P＜0.001all),and negatively correlated with LVEF(r=-0.530,-0.572,P＜0.001 all)in MI patients.ROC curve showed that the area under the curve(AUC)of CRP combined IL-6 diagnosing MI was 0.856(95％CI 0.802～0.900),which was significantly higher than those of CRP(AUC=0.770,95％CI 0.708～0.824)and IL-6(AUC=0.793,95％CI 0.733～0.845)alone(Z=3.295,2.877,P＜0.01 all).Conclusion:Serum CRP and IL-6 levels rise in MI patients,and they are closely associated with increased severity of coronary artery disease and reduced cardiac function.

With the rapid development of generative artificial intelligence(GAI)technologies,their widespread application in academic research and writing is continuously expanding the boundaries of sci-entific inquiry.However,this trend has also raised a series of ethical and regulatory challenges,inclu-ding issues related to authorship,content authenticity,citation accuracy,and accountability.In light of the growing involvement of AI in generating academic content,establishing an open,controllable,and trustworthy ethical governance framework has become a key task for safeguarding research integrity and maintaining trust within the academic community.This expert consensus outlines ethical requirements across key stages of AI-assisted academic writing-including topic selection,data management,citation practices,and authorship attribution.It aims to clarify the boundaries and ethical obligations surrounding AI use in academic writing,ensuring that technological tools enhance efficiency without compromising in-tegrity.The goal is to provide guidance and institutional support for building a responsible and sustainable research ecosystem.

Objective:To investigate the levels of C reactive protein(CRP)and interleukin(IL)-6 in patients with myocardial infarction(MI)and their association with cardiac function.Methods:We enrolled 140 MI patients ad-mitted to Sanya Harbin Medical University Hongsen Hospital Co.,Ltd between January 2020 and December 2022,as MI group.According to coronary stenotic severity,they were divided into mild group(n=62),moderate group(n=41)and severe group(n=37),and 75 healthy individuals who underwent physical examination simultaneously were selected as control group.Serum CRP,IL-6,cardiac troponin Ⅰ(cTnⅠ)and creatine kinase isoenzyme MB(CK-MB)levels were measured by automatic biochemical analyzer,and left ventricular ejection fraction(LVEF)was assessed by echocardiography.Above-mentioned indexes were compared between MI group and control group,and among groups of different coronary disease severity.Pearson/Spearman correlation was used to analyze the asso-ciation of serum CRP and IL-6 levels with Gensini score,cTnⅠ,CK-MB levels,and LVEF in MI patients.Diag-nostic value of serum CRP and IL-6 levels for MI was analyzed by receiver operating characteristic(ROC)curve.Results:Compared with participants in control group,those in MI group had significant higher serum CRP,IL-6,cTnⅠ and CK-MB,and significant lower LVEF(P＜0.001 all).Serum CRP,IL-6,cTnⅠ and CK-MB levels sig-nificantly increased,and LVEF significant decreased in the order of mild group,moderate group and severe group(P＜0.01 all).Pearson/Spearman correlation analysis showed that serum CRP and IL-6 levels were positively cor-related with Gensini score,cTnⅠ,and CK-MB levels(r=0.496～0.646,P＜0.001all),and negatively correlated with LVEF(r=-0.530,-0.572,P＜0.001 all)in MI patients.ROC curve showed that the area under the curve(AUC)of CRP combined IL-6 diagnosing MI was 0.856(95％CI 0.802～0.900),which was significantly higher than those of CRP(AUC=0.770,95％CI 0.708～0.824)and IL-6(AUC=0.793,95％CI 0.733～0.845)alone(Z=3.295,2.877,P＜0.01 all).Conclusion:Serum CRP and IL-6 levels rise in MI patients,and they are closely associated with increased severity of coronary artery disease and reduced cardiac function.

With the rapid development of generative artificial intelligence(GAI)technologies,their widespread application in academic research and writing is continuously expanding the boundaries of sci-entific inquiry.However,this trend has also raised a series of ethical and regulatory challenges,inclu-ding issues related to authorship,content authenticity,citation accuracy,and accountability.In light of the growing involvement of AI in generating academic content,establishing an open,controllable,and trustworthy ethical governance framework has become a key task for safeguarding research integrity and maintaining trust within the academic community.This expert consensus outlines ethical requirements across key stages of AI-assisted academic writing-including topic selection,data management,citation practices,and authorship attribution.It aims to clarify the boundaries and ethical obligations surrounding AI use in academic writing,ensuring that technological tools enhance efficiency without compromising in-tegrity.The goal is to provide guidance and institutional support for building a responsible and sustainable research ecosystem.

Aim To investigate the effects of the fangchinoline derivative LYY-32 on the biological prop-erties of the BLM642-1290 DNA helicase,in order to lay a foundation for further research on its antitumor activity.Methods Fluorescence polarization assay,malachite green-phosphate and ammonium molybdate colorime-try,and fluorescein-labeled DNA gel electrophoresis experiments were conducted to study the effects of fangchinoline derivative LYY-32 on the DNA binding activity,ATPase activity,and DNA unwinding activity of BLM642-1290 DNA helicase.The effects of LYY-32 on the DNA unwinding activity of DNA helicase in cells were studied using fluorescent techniques and time-lapse microscopy.Ultraviolet spectral scanning was used to investigate the effects of LYY-32 on the confor-mation of the BLM642-1290 DNA helicase.Results At a concentration of 10 μmol·L-1,the inhibition rate of LYY-32 on BLM642-1290 DNA helicase binding to dsDNA was 53.17％.At a concentration of 5 μmol·L-1,the inhibition rate of LYY-32 on BLM642-1290 DNA helicase binding to ssDNA was 88.49％.The inhibition rate of LYY-32 on the ATPase activity of BLM642-1290 DNA he-licase was 89.3％at a concentration of 50 μmol·L-1.When the concentration of LYY-32 exceeded 5μmol·L-1,its inhibition rate on the DNA unwinding activity of BLM642-1290 DNA helicase was 100％.LYY-32 also significantly inhibited the DNA unwinding ac-tivity of DNA helicase in cells.However,LYY-32 had no effect on the conformation of BLM642-1290 DNA heli-case.Conclusion The DNA binding activity,AT-Pase activity,and DNA unwinding activity of BLM642-1290 DNA helicase could be significantly inhibi-ted by the fangchinoline derivative LYY-32.

In recent years, with the increasing societal focus on drug quality and safety, quality issues have become a major challenge faced by the pharmaceutical industry, directly impacting consumer health and market trust. By combining multispectral imaging technology with machine learning, it is possible to achieve rapid, non-destructive, and precise detection of traditional Chinese medicine(TCM) preparations, thereby revolutionizing traditional detection methods and developing more convenient and automated solutions. This paper provides a comprehensive review of the current applications of rapid, non-destructive detection techniques based on machine learning algorithms in the field of TCM preparations. It analyzed the principles and advantages of commonly used rapid, non-destructive detection techniques, offering a reference for the application and promotion of these technologies in TCM preparation detection. Additionally, this paper explored various data preprocessing techniques, operational processes, and machine learning algorithms to enhance data utilization efficiency. Finally, it focused on the challenges of applying machine learning in TCM preparation detection and offered corresponding recommendations, providing guidance for the future integration of machine learning with rapid, non-destructive detection techniques in practical production.
Machine Learning ; Drugs, Chinese Herbal/analysis* ; Medicine, Chinese Traditional/methods* ; Humans ; Quality Control

The construction method and simulation parameter settings for the discrete element model of Jianwei Xiaoshi Granules, as the primary material of Jianwei Xiaoshi Tablets, are not yet clear. The accuracy of the simulation model significantly influences the dynamic response characteristics between granules. Therefore, it is necessary to calibrate the parameters to improve the accuracy of the simulation parameters. Using the repose angle of Jianwei Xiaoshi Granules as the response value, the response surface methodology was employed to optimize and calibrate the discrete element parameters. Physical experiments were conducted to determine the physical properties of Jianwei Xiaoshi Granules. Based on the Hertz-Mindlin with Johnson-Kendall-Roberts(JKR) V2 model and virtual simulation methods, a repose angle determination model was constructed in EDEM software. The repose angle was measured using image analysis and numerical fitting methods. The Plackett-Burman experiment was used to screen the initial parameters for significance in the discrete element simulation. The significant parameters were then subjected to a steepest ascent experiment to determine the optimal parameter range. Furthermore, based on the Box-Behnken experiment, a second-order regression equation between significant parameters and repose angle was established, with the repose angle of 37.64° in the physical experiment as the target value. The regression equation was optimized and solved. The significance screening experiment revealed that the granule-granule static friction coefficient, granule-granule rolling friction, and granule-steel plate rolling friction of Jianwei Xiaoshi Granules significantly influenced the simulated repose angle. The optimal parameter combination was found to be 0.330, 0.222, and 0.229. The simulation results with this optimal parameter combination showed that there was no significant difference between the simulated repose angle and the repose angle obtained in the physical experiment, with a relative error of 0.05%, which further validated the reliability of the calibrated discrete element parameters for Jianwei Xiaoshi Granules.
Drugs, Chinese Herbal/chemistry* ; Calibration ; Computer Simulation

Identification of critical material attributes(CMAs) is a key issue in the quality control of large-scale TCM products like Jianwei Xiaoshi Tablets. This study focuses on the granules of Jianwei Xiaoshi Tablets, using tablet tensile strength as the primary quality attribute. A method for identifying the CMAs and a design space for the granules were established, along with a predictive model for the granule CMAs based on Fourier transform near-infrared spectroscopy(FT-NIR). First, granules of Jianwei Xiaoshi Tablets with different properties were prepared using a partial factorial design method from the design of experiments(DOE). The powder properties of the granules were measured. An orthogonal partial least squares(OPLS) model was established to correlate the powder properties with tensile strength. Based on the characteristics of the comprehensive variables extracted by OPLS, the independent variables with the greatest explanatory power for tensile strength were identified. FT-NIR technology was then employed to establish a predictive model for the granule CMAs. The final CMAs identified were hygroscopicity, moisture content, D_(50), collapse angle, mass flow rate, and tapped density. The coefficients of determination of the prediction set(R■) and relative percentage deviation(RPD) of the prediction set for flowability, D_(50), and moisture content were 0.891, 0.994, and 0.998; and 2.97, 12.4, and 20.7, respectively. The established OPLS model clearly identified the impact of various factors on tensile strength, demonstrating good fit results. The model exhibited high prediction accuracy and can be used for the rapid and accurate determination of CMAs in granules of Jianwei Xiaoshi Tablets.
Drugs, Chinese Herbal/chemistry* ; Tablets/chemistry* ; Tensile Strength ; Quality Control ; Spectroscopy, Fourier Transform Infrared ; Spectroscopy, Near-Infrared

Objective To develop an expert consensus on subcutaneous injection for allergen-specific immunotherapy.Methods Relevant domestic and intemational literature was reviewed,and nursing experts who had experiences in subcutaneous injection of allergen-specific immunotherapy were interviewed to form the initial draft of the consensus.A total of 85 experts from 42 hospitals nationwide were invited to participate in discussions.2 rounds of expert consultations,adjustments,revisions,and improvements were made to the initial draft,and an online meeting was held to form the final version of the consensus.The content approved by more than 75％of the expert group is adopted,or it will be discussed or deleted.Results The expert consensus includes operational standards for subcutaneous injection of allergen-specific immunotherapy,identification and management of adverse reactions,and health education.Conclusion The consensus demonstrates strong scientific rigor and practicality,providing guidance for nursing practices in the field of clinical allergology.