Objective: To assess the status of sexual behaviors, HIV/AIDS knowledge awareness, and novel synthetic drug use among school attending young students in Guangdong Province, so as to provide evidence base for formulating targeted intervention strategies. Methods: From September to December 2024, a convenience sampling method was employed to conduct an anonymous online survey among 41 119 students from 20 higher education institutions and vocational colleges in Guangdong Province. Chi square test was utilized for rate comparisons and univariate analysis, and a multivariate Logistic regression model was applied to analyze factors associated with novel synthetic drug use. Results: The self reported rate of sexual behavior was 5.2%. Among sexually active students, the rates of unprotected sexual intercourse, having temporary sexual partners, and having commercial sexual partners were 32.4%, 34.5%, and 26.3%, respectively. The awareness rate of HIV related knowledge was 75.7%. The overall use rate of novel psychoactive substances(NPS) was 1.0%, and among sexually active students it was 6.5%. Multivariate Logistic regression analysis showed that students with sexual experience ( OR =4.15) and those with HIV testing history ( OR =9.38) had higher risks of NPS use; among sexually active students, those with unprotected sexual intercourse ( OR =6.83) and those with commercial sexual partners ( OR = 4.68 ) had higher risks of NPS use (all P <0.05). Conclusions The HIV/AIDS knowledge level among surveyed students needs further improvement, and high risk sexual behaviors are cross linked with novel synthetic drug use. It is recommended to carry out integrated health education for all students and implement comprehensive targeted interventions for sexually active students.

ObjectiveTo observe the analgesic efficacy and safety of Qihuang acupuncture theory combined with opioid analgesics in patients with moderate to severe cancer pain due to lung cancer. MethodsPatients with moderate to severe cancer pain from lung cancer were randomly divided into Qihuang acupuncture group and control group， with 33 cases in each group. The control group was treated with long-acting opioid analgesics at maintenance doses and supplementary analgesic medications as needed. In case of breakthrough pain， short-acting opioids were used for rescue. The Qihuang acupuncture group received Qihuang acupuncture treatment in addition to the treatment used in the control group， administered once every other day， with 3 sessions constituting one treatment course. The treatment duration for both groups was 5 days. The primary outcome was the change in pain intensity， measured using the numerical rating scale （NRS） before and after treatment， and the NRS change rate was calculated. Secondary endpoints included the daily NRS change rate， the Eastern Cooperative Oncology Group （ECOG） Performance Status （PS） score， the European Organization for Research and Treatment of Cancer Quality of Life Core Questionnaire （EORTC QLQ-C30） score， and the 24-hour equivalent hydrocodone sustained-release tablet dose. Laboratory tests， including routine blood， urine， stool， liver function， and kidney function， were performed before and after treatment. Adverse events were recorded throughout the trial. ResultsAll patients completed the trial， and both groups showed a decrease in average NRS scores and PS scores after treatment， with the Qihuang acupuncture group showing lower average NRS scores and PS scores than the control group （P＜0.05 or P＜0.01）. After treatment， the NRS change rate in the Qihuang acupuncture group was （0.42±0.17）， significantly higher than that in the control group （0.14±0.27， P＜0.01）. The daily NRS change rate during treatment was also higher in the Qihuang acupuncture group compared to the control group （P＜0.01）. The Qihuang acupuncture group showed an increase in overall health status and functional scores in the EORTC QLQ-C30， and a decrease in symptom scores for fatigue， nausea and vomiting， pain， dyspnea， insomnia， appetite loss， constipation， and financial difficulties. In contrast， overall health status and constipation scores in the control group increased， while scores of fatigue， nausea and vomiting， pain， and appetite loss decreased （P＜0.05 or P＜0.01）. After treatment， the 24-hour equivalent hydrocodone sustained-release tablet dose did not show significant difference in the Qihuang acupuncture group （P＞0.05）， while the control group showed a significant increase in the 24-hour dose （P＜0.01）. No significant abnormalities were observed in laboratory tests before and after treatment in either group. During the study， the incidence of nausea and vomiting as well as constipation in the Qihuang acupuncture group was both 3.03% （1/33）， while the incidence in the control group was 27.27% （9/33） and 36.36% （12/33）， respectively， with the Qihuang acupuncture group showing significantly lower incidence （P＜0.01）. No serious adverse reactions were observed in either group. ConclusionQihuang acupuncture therapy combined with opioid analgesics is more effective than using opioids alone in relieving pain in patients with moderate to severe cancer pain due to lung cancer. It can improve the patients' physical condition and quality of life， reduce the dose of opioid analgesics， and has good safety.

Medical artificial intelligence （AI） is a new type of application formed by the combination of machine learning， computer vision， natural language processing， and other technologies with clinical medical treatment. With the continuous iteration and development of relevant technologies， medical AI has shown great potential in improving the efficiency of diagnosis and treatment， and service quality， but it also increases the possibility of triggering ethical issues. Ethical issues resulting from the clinical application of medical AI were analyzed， including the lack of algorithmic interpretability and transparency of medical AI， leading to information asymmetry and cognitive discrepancies； the concerning status of security and privacy protection of medical data； and the complex and unclear division of responsibilities due to the collaborative participation of multiple subjects in the clinical application of medical AI， resulting in increased difficulty in the identification of medical accidents and clarification of responsibilities. The paper proposed the principles of not harming patients’ interests， physician’s subjectivity， fairness and inclusiveness， and rapid response. It also explored the strategies and implementation paths for responding to the ethical issues of medical AI from multiple perspectives， including standardizing the environment and processes， clarifying responsibility attribution， continuously assessing the impact of data protection， guaranteeing data security， ensuring model transparency and interpretability， carrying out multi-subject collaboration， as well as the principles of being driven by ethical values and adhering to the “human health-centeredness.” It aimed to provide guidance for the healthy development of medical AI， ensuring technological progress while effectively managing and mitigating accompanying ethical risks， thereby promoting the benign development of medical AI technology and better serving the healthcare industry and patients.

Objective To explore the related functional mechanism of Xihuang pill containing serum inter-vention in breast cancer cells based on microRNA(miR)21-5p targeting FAM13A gene.Methods Bioinfor-matics websites was used to predict potential miRNAs of FAM13A gene,double luciferase reporter experi-ments were conducted to verify the binding site relationship between FAM13A and predicted miRNAs.The Xihuang pill containing serum was prepared,and human breast cancer MDA-MB-231 cells were cultured.The proliferation of MDA-MB-231 cells was interfered by the Xihuang pill containing serum with different dilution ratios by CCK-8 test,and the best dilution ratio concentration of Xihuang pill containing serum to inhibit the proliferation of breast cancer cells was selected.Real time fluorescence quantitative PCR(RT-qPCR)was ap-plied to detect the relative expression levels of FAM13A mRNA,as well as the relative expression levels of miR21-5p,in MDA-MB-231 cells after intervention with Xihuang pill containing serum.Cell proliferation(Edu)assay and cell apoptosis detection(TUNEL)assay were used to detect the effects of Xihuang pill con-taining serum intervention on cell proliferation and apoptosis function in MDA-MB-231 cells.The siRNA lentiviral transfection on MDA-MB-231 cells was performed to knock down the FAM13A gene,and Edu assay and TUNEL assay were used to detect changes in proliferation and apoptosis ability of MDA-MB-231 cells af-ter lentiviral transfection.The expression level of miR21-5p in MDA-MB-231 cells after FAM13A gene knock-out was detected by RT-qPCR technology.Results Target Scan online website predicted the potential miR-21-5p binding sequence in the 3'UTR of FAM13A mRNA,and dual luciferase reporter assay confirmed the in-teraction between miR-21-5p and FAM13A.After intervention of MDA-MB-231 cells with Xihuang pill drug containing serum,RT-qPCR results showed that compared with the control group(NC group),the Xihuang pill drug containing serum group(XHW group)downregulated the expression levels of FAM13A mRNA(P＜0.05),and upregulated the expression level of miR21-5p(P＜0.05).Compared with the NC group,the XWH group showed reduced cell proliferation ability and promoted cell apoptosis.(P＜0.05).After silencing the FAM13A gene in MDA-MB-231 cells,compared with the control group(shCtrl group),the shFAM13A group showed a significant decrease in cell proliferation ability and promoted cell apoptosis.The RT-qPCR re-sults showed that compared with the shCtrl group,the expression level of miR21-5p was significantly upregu-lated in the shFAM13A group(P＜0.05).Conclusion Xihuang pill could participate in the anti-tumor treat-ment of breast cancer by regulating miR21-5p to affect the expression level of FAM13A gene.

N6-methyladenosine (m6A) modification, as a widespread and high-profile type of epigenetic modification, can dynamically and reversibly regulate the whole process of RNA metabolism. This modification governs RNA stability, splicing, and translation via m6A regulators, which are categorized as Writers, Erasers, and Readers. m6A modification also plays a critical role in the development of tumors. Disruptions in the homeostasis of m6A modification levels lead to dysregulation of m6A regulators. Consequently, these dysregulated regulators modulate the proliferation, migration, and invasion of tumor cells and interfere with the normal functions of suppressor genes and oncogenes. This article aims to comprehensively elucidate the specific regulatory impacts of m6A modification on tumor-related gene expression. It focuses on the regulatory mechanisms of m6A modification on mRNA stability. Additionally, it explores the influence of m6A on the molecular translation of key signaling pathways. Moreover, it investigates the indirect regulatory effects mediated by non-coding RNAs (ncRNAs), etc. The intention is to offer a novel analysis of the pathogenesis of cancer at a new level, and also provide a theoretical basis for finding new effective treatment methods.

Objective To evaluate the recognition capability of AI-enabled Cellsee CS-BM1 automatic cell morphology analyzer for pe-ripheral blood smears and its roles in assisting manual classification,and explore the application value of AI system in the diagnosis network of tiered primary medical units.Methods The blood samples which triggered the re-examination rules were collected from six primary medical units,including the Laboratory Department of Shanghai Jiahui International Hospital,and so on,from March to No-vember 2023.The smears of peripheral blood were prepared and AI analyzer was used for pre-classification to evaluate its recognition performance in identifying the samples with abnormal WBC and RBC.The sensitivity,specificity,and accuracy of WBC classification by six junior and intermediate technicians,both with and without AI assistance,were analyzed.Additionally,the roles of the AI system in tiered diagnosis of primary medical units were also evaluated.Results The sensitivity,specificity,and accuracy of AI system in recognizing malignant primitive cells were 92.86％,95.16％,and 95.10％,respectively.The sensitivities of AI system in recognizing immature granulocytes,reactive lymphocytes,and nucleated RBCs were all greater than 90％.The sensitivity of AI system in identif-ying abnormal morphology of RBCs reached 99.59％,along with rapid quantitative analysis for various anomalous types of RBCs.In AI-assisted mode,the sensitivity of recognition for all cell types was improved to varying degrees by junior and intermediate technicians,and the sensitivity for recognizing malignant primitive cells,reactive lymphocytes,and immature granulocytes increased to 58.24％,53.39％,and 62.37％for junior technicians,and to 92.06％,83.24％,and 83.12％for intermediate technicians,respectively.The improvements for junior technicians were particularly significant,with increases of 12.46％,10.61％,and 3.71％for each cell type,respectively.Both groups achieved higher specificity and accuracy.Through AI pre-classification and manual review,a variety of pe-ripheral blood cell-related diseases were accurately diagnosed in the tiered healthcare practice of primary medical units,including 339 cases(11.13％)of red blood cell diseases,5 cases(0.16％)of platelet diseases,2 343 cases(76.90％)of infection-related disea-ses,and 28 cases(0.92％)of malignant hematological diseases.In addition,332 cases(10.90％)which lacked an obvious related cause or required further examinations were identified as well.Conclusion AI pre-classification has demonstrated strong cell recogni-tion capabilities and may assist technicians in improving the sensitivity,specificity,and accuracy of blood cell classification.AI could en-hance the disease-screening capabilities in the tiered diagnosis network of primary medical units,presenting a broad application prospect.

Homo- or heterodimeric compounds that affect dimeric protein function through interaction between monomeric moieties and protein subunits can serve as valuable sources of potent and selective drug candidates. Here, we screened an in-house dimeric natural product collection, and panepocyclinol A (PecA) emerged as a selective and potent STAT3 inhibitor with profound anti-tumor efficacy. Through cross-linking C712/C718 residues in separate STAT3 monomers with two distinct Michael receptors, PecA inhibits STAT3 DNA binding affinity and transcription activity. Molecular dynamics simulation reveals the key conformation changes of STAT3 dimers upon the di-covalent binding with PecA that abolishes its DNA interactions. Furthermore, PecA exhibits high efficacy against anaplastic large T cell lymphoma in vitro and in vivo, especially those with constitutively activated STAT3 or STAT3^Y640F. In summary, our study describes a distinct and effective di-covalent modification for the dimeric compound PecA to disrupt STAT3 function.

OBJECTIVE To investigate the ameliorative effect of Pinelliae Rhizoma Praeparatum Cum Alumine and its effective components on inflammatory response in mice with acute lung injury(ALI).METHODS A mice model of acute lung injury induced by lipopolysaccharide(LPS)was used as the in vivo animal model.The levels of inflammatory factors TNF-α,IL-6,and IL-1β,the total protein concentration,the number of inflammatory cells in bronchoalveolar lavage fluid,the ratio of lung wet weight to dry weight,and the pathological damage of lung tissues were taken as the evaluation indexes.RAW264.7 macrophages induced by LPS were used as the in vitro experimental model,with the mRNA levels of intracellular inflammatory factors TNF-α,IL-1β,and IL-6 as indicators,systematic solvent extraction and silica gel column chromatography were used to separate and screen the effective parts and components of Pinelliae Rhizoma Praeparatum Cum Alumine for treating acute lung injury.The component composition of the effective fractions was analyzed by mass spectrometry,the content of cyclic dipeptide components in the effective fraction was determined,and the anti-in-flammatory activity of cyclic dipeptides was verified in vitro.RESULTS The ethyl acetate extraction fraction obtained by extracting the supernatant of water extraction and ethanol precipitation of Pinelliae Rhizoma Praeparatum Cum Alumine(referred to as the ethyl acetate fraction for short)significantly improved the inflammatory response in mice with acute lung injury and significantly reduced the mRNA levels of TNF-α,IL-1β,and IL-6 in RAW264.7 cells induced by LPS.The Fr.1 fraction isolated from the ethyl acetate frac-tion by silica gel column chromatography had anti-inflammatory effects in vitro.Mass spectrometry determined the content of two main cyclic dipeptide components,cyclo-(Pro-Phe)and cyclo-(Pro-Val),in the Fr.1 fraction.After mixing these two cyclic dipeptide components in the molar ratio in the Fr.1 fraction and administering them in vitro,the results showed that the combination of these two cyclic dipeptide components could significantly inhibit the mRNA expression levels of TNF-α,IL-1β,and IL-6 in RAW264.7 cells induced by LPS.CONCLUSION Cyclic dipeptide component is one of the main material basis categories for the anti-inflammatory effect of Pinelliae Rhizoma Praeparatum Cum Alumine.

Fatty liver is common disease of nutritional metabolism in the perinatal period,character-ized by elevated levels of NEFA in the blood and disorders of lipid metabolism.High concentra-tions of NEFA damage mitochondria and promote the release of reactive oxygen species(ROS).At the same time,lipid peroxidation occurs in lipid accumulation in hepatocytes,producing free radi-cals such as ROS,which leads to oxidative stress in the liver.When the level of intracellular ROS increases,thioredoxin-interacting protein(TXNIP)activates nucleotide-binding oligomerization structure-like protein 3(NLRP3)inflammasomes,and oxidative stress can regulate pyroptosis,but it is unclear whether reactive oxygen species(ROS)produced by oxidative stress in hepatocytes can mediate pyroptosis and induce liver injury in dairy cows through the TXNIP/NLRP3 pathway.In this study,liver tissue samples from healthy dairy cows and fatty liver cows were collected,and NEFA was used to construct a fatty liver cell model,and triglyceride(TG)content and oxidative stress related indicators were detected by kit.Western blot was used to detect the activation of NL-RP3 inflammasomes,the inflammatory pathway of NF-κB and the expression levels of pyroptosis-related proteins.Fluorescence quantitative PCR was used to detect the relative expression level of inflammatory factor mRNA.The results showed that compared with the healthy(control)group,the TG content of fatty liver tissue and fatty liver cells was significantly increased(P＜0.05),the activities of SOD and GSH-Px were significantly decreased(P＜0.05),and the protein expression levels of TXNIP,NLRP3,GSDMD-N and Caspase-1 were significantly up-regulated(P＜0.05).The results of the antioxidant model of fatty hepatocytes using NEFA and antioxidants(NAC)showed that compared with the fatty hepatocyte model,the content of ROS in hepatocytes was sig-nificantly reduced,and oxidative stress,NLRP3 inflammasome activation and pyroptosis were alle-viated.In summary,this study found that when fatty liver disease occurs in dairy cows,ROS pro-duced by oxidative stress in the liver can mediate pyroptosis through the TXNIP/NLRP3 path-way,which can lead to liver injury in fatty liver cows.

Objective:To explore the categories and influencing factors of depression in mild cognitive impairment (MCI) patients, so as to provide a reference for formulating precise interventions for depression in MCI patients.Methods:A cross-sectional investigation was conducted. Patients with MCI admitted to the Department of Neurology, The First Affiliated Hospital of Nanchang University from December 2022 to December 2023 were selected as the investigation objects by convenience sampling method. The general data questionnaire, Hamilton Depression Rating Scale-17, Montreal Cognitive Assessment Scale and Lubben Social Network Scale-6 were used to conduct a survey. Latent profile analysis and multiple Logistic regression analysis were used to explore the categories and influencing factors of depression.Results:A total of 537 patients with MCI were included, including 335 females and 202 males, aged (65.72 ± 9.53) years old. MCI patients scored (22.67 ± 4.68) points on the Montreal Cognitive Assessment Scale, (13.27 ± 5.73) points on the Lubben Social Network Scale-6, and 9.00 (5.00, 13.00) points on the Hamilton Depression Rating Scale-17. The depression in MCI patients could be divided into three categories: low risk depression (67.8%, 364/537), low depression-sleep disorder (20.1%, 108/537), and high depression-anxiety (12.1%, 65/537). The multiple Logistic regression analysis showed that gender, education, living style, social isolation and cognitive function were the influencing factors for different categories of depression ( OR values were 0.443-2.921, all P<0.05). Conclusions:There are individual differences in depression in patients with MCI, and precise intervention should be implemented according to the characteristics of different categories of depression.