ObjectiveTo construct a large language model （LLM）-based intelligent pre-consultation system for traditional Chinese medicine （TCM） to improve efficacy of clinical practice. MethodsA TCM large language model was fine-tuned using DeepSpeed ZeRO-3 distributed training strategy based on YAYI 2-30B. A weighted undirected graph network was designed and an agent-based syndrome differentiation model was established based on relationship data extracted from TCM literature and clinical records. An agent collaboration framework was developed to integrate the TCM LLM with the syndrome differentiation model. Model performance was comprehensively evaluated by Loss function， BLEU-4， and ROUGE-L metrics， through which training convergence， text generation quality， and language understanding capability were assessed. Professional knowledge test sets were developed to evaluate system proficiency in TCM physician licensure content， TCM pharmacist licensure content， TCM symptom terminology recognition， and meridian identification. Clinical tests were conducted to compare the system with attending physicians in terms of diagnostic accuracy， consultation rounds， and consultation duration. ResultsAfter 100 000 iterations， the training loss value was gradually stabilized at about 0.7±0.08， indicating that the TCM-LLM has been trained and has good generalization ability. The TCM-LLM scored 0.38 in BLEU-4 and 0.62 in ROUGE-L， suggesting that its natural language processing ability meets the standard. We obtained 2715 symptom terms， 505 relationships between diseases and syndromes， 1011 relationships between diseases and main symptoms， and 1 303 600 relationships among different symptoms， and constructed the Agent of syndrome differentiation model. The accuracy rates in the simulated tests for TCM practitioners， licensed pharmacists of Chinese materia medica， recognition of TCM symptom terminology， and meridian recognition were 94.09%， 78.00%， 87.50%， and 68.80%， respectively. In clinical tests， the syndrome differentiation accuracy of the system reached 88.33%， with fewer consultation rounds and shorter consultation time compared to the attending physicians （P＜0.01）， suggesting that the system has a certain pre- consultation ability. ConclusionThe LLM-based intelligent TCM pre-diagnosis system could simulate diagnostic thinking of TCM physicians to a certain extent. After understanding the patients' natural language， it collects all the patient's symptom through guided questioning， thereby enhancing the diagnostic and treatment efficiency of physicians as well as the consultation experience of the patients.

Objective: To explore the pre-exposure prophylaxis (PrEP) awareness, willingness, uptake patterns, barriers and needs among Chinese student men who have sex with men (MSM), so as to provide relevant evidence for targeted interventions with PrEP. Methods: A proportional sampling method was used to conduct a cross sectional survey of MSM aged 16 years and older residing in 21 provinces, municipalities, and autonomous regions in mainland China between October 20 and December 20, 2021, to collect information on demographic and sexual behavioral characteristics, and 923 students of them were selected as the subjects of this study. The chi-square test and Fisher s test were used for univariate analysis, followed by multivariate Logistic regression to analyze the influencing factors of PrEP awareness and uptake. Results: According to the cascade analysis method, the awareness, willingness, uptake and adherence rates of PrEP among the student MSM were obtained as 88.95%, 67.36%, 13.20% and 45.21 %, respectively. HIV testing more than once in the last 3 months, and all of them were aware of the HIV test results of their sexual partners, and those with high frequency of condom use had a higher rate of awareness ( OR =2.32, 1.79, 1.69, P <0.05). Willingness rates were higher for those from the pilot city, using substances, and HIV testing more than once in the last 3 months ( OR =2.13, 1.65, 1.69, P <0.05). Higher rates of uptake were found among those from high risk and pilot areas, presence of commercial sex, substance use, and high literacy ( OR =5.60, 3.54,2.81, 1.92, 4.54, P <0.05). Adherence rates were higher among those who used one pill per day or both ( OR =12.77, 13.26, P <0.05). The barriers and needs faced by student MSM were primarily personal concerns about medication side effects, preventative effects, and confidence in sexual behavioral styles, and the high cost of medication and related service costs. Conclusions The student MSM population in China is characterized by high awareness, low willingness, low uptake, and low adherence to PrEP. Targeted interventions should be considered and tailored by the departments to facilitate PrEP promotion among student MSM.

Objective To investigate the role and molecular mechanism of exosomal miR-224-5p in colorectal cancer (CRC).Methods The miR-224-5p expression in CRC patient tissues and cell-derived exosomes was measured by laser capture microdissection and qRT-PCR, respectively. Dual-luciferase reporter gene assay was used to determine the target gene of miR-224-5p. The protein expressions of p53 and unc-51 like kinase 2 (ULK2) in CRC cells were detected by western blot. Flow cytometry was used to detect cell cycle and apoptosis. Cell proliferation was measured by CCK8 and EdU assay.Results The miR-224-5p expression was upregulated in CRC tissues and increased progressively with the rise of CRC stage. CRC cells secreted extracellular miR-224-5p mainly in an exosome-dependent manner, and then miR-224-5p could be transferred to surrounding tumor cells to regulate cell proliferation in the form of autocrine or paracrine. Moreover, ULK2 was characterized as a direct target of miR-224-5p and was downregulated in CRC tissues. Interestingly, ULK2 inhibited CRC cell proliferation in a p53-dependent manner. Furthermore, exosome-derived miR-224-5p partially reversed the proliferation regulation of ULK2 on CRC cells.Conclusion Our findings demonstrate that exosome-transmitted miR-224-5p promotes p53-dependent cell proliferation by targeting ULK2 in CRC, which may offer promising targets for CRC prevention and therapy.

Objective To study the apoptosis and mechanism of lung epithelial cells induced by exposure to ozone oxidized black carbon(OBC)and explore the therapeutic effect of dexamethasone.Methods A549 cells were divided into seven groups:control group,dexamethasone group and 0,6.5,12.5,25.0,50.0 μg·mL-1OBC treatment groups.All cells were cultured for 24 h.Cell counting kit-8(CCK-8)was used to detect the survival rate of cells.Immunofluorescence was used to detect the activity of reactive oxygen species.Annexin V-FITC/PI two-color fluorescent dye Notation was used to detect apoptotic cells.Real-time quantitative polymerase chain reaction(PCR)was used to detect the expression level of P53,B-cell lymphoma-2(Bcl-2),cysteinyl aspartate specific proteinase-3(caspase-3)mRNA.Western blot was used to detect the expression level of P53,Bcl-2,caspase-3 protein.Results The cell survival rates of 50.0 μg·mL-1 OBC treatment group,control group and dexamethasone group were(12.64±2.45)％,(100.00±0.00)％and(42.39±2.50)％;the reactive oxygen species were(147.00±5.65),(42.82±2.50)and(94.40±4.30)MFI;the apoptosis rates of epithelial cells were(40.50±3.52)％,(5.02±1.15)％and(21.58±2.35)％;the expression of P53 mRNA were 3.81±0.22,1.04±0.02 and 2.03±0.08;the equivalent expression levels of P53 protein were 0.54±0.06,0.14±0.02 and 0.33±0.03.The above indicators in 50.0 μg·mL-1 OBC treatment group showed statistically significant differences compared with control group and dexamethasone group(all P＜0.05).Conclusion OBC exposure leads to oxidative damage of lung epithelial cells and activates their apoptosis related pathways,while dexamethasone has shown good therapeutic effects in vitro experiments.

Objective To compare the efficacy and safety of different courses of caffeine citrate injection in the treatment of very low birth weight infants.Methods Very low birth weight infants were divided into long course group and routine course according to cohort method.2 groups of children were given intravenous infusion of caffeine citrate injection loading dose(20 mg·kg-1)within 3 days after birth,and the dose was maintained at 5 mg·kg-1 after 24 hours(qd).In the long course group,caffeine citrate injection was used to correct gestational age＞34 weeks,and in the routine course,caffeine citrate injection was used to correct gestational age 33-34 weeks.The use of caffeine citrate injection,clinical efficacy,neonatal behavioral neurological scale(NBNA)score and the occurrence of adverse drug reactions were compared between the two groups.Results 116 cases were included in this study,64 cases in the long course group and 52 cases in the routine course.After treatment,the total clinical effective rate of the long course group and the routine course was 92.19％and 94.23％,respectively,with no statistical significance(P＞0.05).The total duration of caffeine citrate injection were(60.53±8.92)and(48.17±5.24)days,respectively;the corrected gestational age at withdrawal were(36.02±1.56)and(33.18±1.27)weeks,respectively.The corrected gestational age were(34.31±0.48)and(32.06±0.51)weeks;the milk volume were(32.69±2.14)and(23.85±1.69)mL,respectively,with statistical significance(all P＜0.05).The starting age of caffeine citrate injection were(59.65±3.42)and(58.35±3.11)h in the long course group and the routine course,respectively,with no statistical significance(P＞0.05).Before treatment,the NBNA score of the long course and routine courses were 36.49±6.78 and 35.58±4.22,respectively;the NBNA score of long course and conventional course after treatment were 43.25±6.88 and 44.12±7.42,respectively.Compared with before treatment,NBNA score in both groups were higher after treatment,with statistical significance(all P＜0.05).There was no significant difference in NBNA score between the long course group and the routine course(P＞0.05).The incidence of bronchopulmonary dysplasia(84.38％vs 51.92％)and decreased hemoglobin concentration(17.75％vs 5.77％)in the long course group were significantly higher than those in the routine course(all P＜0.05).Conclusion Long-term use of caffeine citrate injection to correct gestational age＞34 weeks has no significant effect on clinical treatment,neurological function and intellectual development of very low birth weight infants.

Drug loading is an important index to evaluate the quality of solid preparation of traditional Chinese medicine. Drug loading is restricted by drug characteristics, dosage form, process, and drug delivery in vivo, which affects the preparation process, therapeutic effect, and drug release rate. By consulting domestic and foreign literature, this paper put forward the significance of increasing the drug loading: improving the compliance of patients, reducing the production cost, reducing the risk of the excipients. In this review, the possible approaches to increase drug loading, such as the selection of high-efficiency excipients, suitable drug preparation techniques, and modification of the physical properties of drugs are summarized. It will provide theoretical basis through this review for the development of high drug loading and high-quality formulations.

In this study,nine hybridoma cells secreting monoclonal antibodies against deltamethrin were prepared,and the monoclonal antibody 4D4E11 with best sensitivity was selected to develop indirect enzyme-linked immunosorbent assay (ic-ELISA) and gold nanoparticle-based lateral flow immunoassay (LFIA) for detection of deltamethrin. The optimal working buffer for ic-ELISA was 0.01 mol/L phosphate buffer (pH 7.4) containing 0.2 mol/L NaCl and 20％ methanol,while 0.01 mol/L phosphate buffer (pH 7.4) containing 1 mol/L NaCl,5‰Tween-20 and 10％methanol for LFIA. Under the optimal conditions,the half inhibition concentration (IC50) and limit of detection (IC10) of ic-ELISA were 10.60 ng/mL and 1.43 ng/mL respectively,and the limit of detection of the developed LFIA was 0.5μg/mL. The developed ic-ELISA and LFIA showed no cross-reactivities (CRs) with eight kinds of analogues of deltamethrin,which indicated the excellent specificity of proposed immunoassays. The average recoveries of the ic-ELISA in spiked tomato,cabbage and lettuce samples were 79.8％-92.6％with relative standard deviations of 0.8％-5.5％. The detection results of LFIA were consistent with the spiked concentrations in the range of 1-5 mg/kg. Meanwhile,the results of ic-ELISA and LFIA showed close correlation with high performance liquid chromatography (HPLC) in the test of blind lettuce samples. The experimental results demonstrated that the two immunoassays proposed here were suitable for rapid detection of deltamethrin with high sensitivity and high accuracy.

Objective To search for independent predictive factors of diabetic kidney disease(DKD)in patients with type 2 diabetes mellitus(T2DM),construct and validate an optional machine learning(ML)model for the risk of DKD.Methods A total of 528 patients with T2DM,hospitalized in the Endocrinology Department of Chengde Central Hospital from October 2019 to September 2020,were selected as the study objects,and patients were randomly divided into a training set(370 cases),and a validation set(158 cases).The training set was divided into the DKD group(89 cases)and the non-DKD group(281 cases)according to whether DKD existed.The general data and diagnostic examination of patients were performed by univariate analysis,in which variables with statistical differences were used to screen the best predictors by least absolute shrinkage and selection operator(LASSO)regression analysis.The best predictors were used to establish eight ML algorithms by three cross-validation methods,including Logistic regression(LR),K-nearest neighbor(KNN),support vector machine(SVM),decision tree(DT),random forest(RF),naive Bayes(NB),artificial neural network(ANN),and extreme gradient lift(XGBoost).The optimal prediction model was selected by receiver operating characteristic(ROC)curve,Delong test and GiViTI calibration curve.Decision curve analysis(DCA)was used to evaluate the clinical practicability of the model.Results Age,alanine aminotransferase,creatinine,triglyceride,cystatin C,25-hydroxy vitamin D and monocyte count were independent predictive factors of DKD.Eight ML models were established based on the above 7 predictors,and the ANN model performed best in the 8 ML models.The GiViTiI calibration curve indicated that the model had good accuracy(P＞0.05),and the DCA showed that the prediction model curve had clinical practical value in the threshold probability range of 0.027-0.612.Conclusion In this study,the ANN model constructed in this study to predict the risk of DKD is helpful for early discrimination of high-risk T2DM patients with DKD.

Background and purpose:In 2016 the National Cancer Institute(NCI)decided stopping to use NCI-60 cell lines for drug screening,suggesting that tumor cell lines were losing their value as a tool for drug discovery and basic research.The reason for NCI-60 cells'retirement'was that the preclinical studies based on traditional cellular and animal models did not obtain the corresponding expected efficacy in clinical trials.Since the major cancer behaviors,such as proliferation and metastasis,are fundamentally altered with long-term culture,the tumor cell lines are not representative of the characteristics of cancer in patients.Currently,scientists hope to create a new cancer model that are derived from fresh patient samples and tagged with details about their clinical past.Our purpose was to create patient-derived breast cancer primary cell lines as new cancer model for drug screening and basic research.Methods:Breast cancer tissues were collected in the Department of Breast Surgery,Affiliated Hospital of Guizhou Medical University.The collection of tumor tissue samples was approved by the Ethics Committee of the Affiliated Hospital of Guizhou Medical University(approval number:2022 ethics No.313),and the collection and use of tumor tissues complied with the Declaration of Helsinki.The primary breast cancer cell lines were isolated from the patient's breast cancer tissues and cultured in BCMI medium.After the cells proliferated,the media were replaced with DEME medium.Cell line STR genotyping was done to determine cell-specific genetic markers and identification.Clone formation assay and transplantation assay were done to analyze the ability of breast cancer primary cell lines to form tumors.Results:We created 6 primary breast cancer cell lines.The 6 primary breast cancer cell lines from the patients were tagged with the definitively clinicopathological features,clinical diagnosis,therapeutic regimens,clinical effectiveness and prognostic outcomes.The STR genotyping assays identified the genetic markers and determined the identities of the 6 primary breast cancer cell lines.Clone formation assays and transplantation assay showed that the proliferative capacities of the patient-derived primary breast cancer cell lines were significantly greater compared with the conventional breast cancer cell lines.Conclusion:We created a panel of 6 patient-derived primary breast cancer cell lines as new cancer model for drug screening and basic research in breast cancer.

Objective To investigate the structural characteristics of intestinal flora in children with sepsis and its association with inflammatory response.Methods A prospective cohort study was conducted.The children with sepsis who were admitted from December 2021 to January 2023 were enrolled as the sepsis group,and the children with non-sepsis who were admitted during the same period were enrolled as the non-sepsis group.The two groups were compared in terms of the distribution characteristics of intestinal flora,peripheral white blood cell count(WBC),C reactive protein(CRP),and cytokines,and the correlation of the relative abundance of fecal flora with WBC,CRP,and cytokines was analyzed.Results At the genus level,compared with the non-sepsis group,the sepsis group had significantly lower relative abundance of Akkermansia,Ruminococcus,and Alistipes and significantly higher relative abundance of Enterococcus,Streptococcus,and Staphylococcus(P<0.05).At the phylum level,Proteobacteria was the dominant phylum(37.46%)in the group of children with a score of≤70 from the Pediatric Critical Illness Score(PICS),and Firmicutes was the dominant phylum in the group of children with a score of 71-80 or 81-90 from the PICS(72.20%and 43.88%,respectively).At the genus level,among the 18 specimens,5 had a relative abundance of>50%for a single flora.Compared with the non-sepsis group,the sepsis group had significant higher levels of WBC,CRP,interleukin-6(IL-6),interleukin-10(IL-10),and tumor necrosis factor-α(P<0.05).The Spearman's rank correlation analysis showed that at the genus level,the relative abundance of Ruminococcus,Alistipes,and Parasutterella in the sepsis group was negatively correlated with the levels of WBC,CRP,and IL-6(P<0.05);the relative abundance of Enterococcus was positively correlated with the CRP level(P<0.01);the relative abundance of Streptococcus and Staphylococcus was positively correlated with the levels of CRP and IL-6(P<0.05);the relative abundance of Streptococcus was positively correlated with WBC(P<0.05).Conclusions Intestinal flora disturbance is observed in children with sepsis,and its characteristics vary with the severity of the disease.The structural changes of intestinal flora are correlated with inflammatory response in children with sepsis.