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 investigate the objective characteristics of tongue manifestation in different stages of damp-heat syndrome in diabetic kidney disease (DKD). Methods: A cross-sectional study enrolled 134 patients with DKD G3-5 stages who met the diagnostic criteria for damp-heat syndrome in DKD. The patients were treated at Dongzhimen Hospital, Beijing University of Chinese Medicine, from May 2023 to January 2024. The patients were divided into three groups: DKD G3, DKD G4, and DKD G5 stage, with 53, 33, and 48 patients in each group, respectively. Clinical general data (gender, age, and body mass index) and damp-heat syndrome scores were collected from the patients. The YZAI-02 traditional Chinese medicine (TCM) AI Tongue Image Acquisition Device was used to capture tongue images from these patients. The accompanying AI Open Platform for TCM Tongue Diagnosis of the device was used to analyze and extract tongue manifestation features, including objective data on tongue color, tongue quality, coating color, and coating texture. Clinical data and objective tongue manifestation characteristics were compared among patients with DKD G3-5 based on their DKD damp-heat syndrome status. Results: No statistically significant difference in gender or body mass index was observed among the three patient groups. The DKD G3 stage group had the highest age (P<0.05). The DKD G3 stage group had a lower score for symptoms of poor appetite and anorexia(P<0.05) than the DKD G5 group. No statistically significant difference was observed in damp-heat syndrome scores among the three groups. Compared with the DKD G5 stage group, the DKD G3 stage group showed a decreased proportion of pale color at the tip and edges of the tongue (P<0.05). The DKD G4 stage group exhibited an increased proportion of crimson at the root of the tongue, a decreased proportion of thick white tongue coating at the root, a decreased proportion of pale color at the tip and edges of the tongue, an increased hue value (indicating color tone) of the tongue color in the middle, an increased brightness value (indicating color lightness) of the tongue coating color in the middle, and an increased thickness of the tongue coating (P<0.05). No statistically significant difference was observed in other tongue color proportions, color chroma values, body characteristics, coating color proportions, coating color chroma values, and coating texture characteristics among the three groups. Conclusion Tongue features differ in different stages of DKD damp-heat syndrome in multiple dimensions, enabling the inference that during the DKD G5 stage, the degree of qi and blood deficiency in the kidneys, heart, lungs, liver, gallbladder, spleen, and stomach is prominent. Dampness is more likely to accumulate in the lower jiao, particularly in the kidneys, whereas heat evil in the spleen and stomach is the most severe. These insights provide novel ideas for the clinical treatment of DKD.

Objective: To analyze the epidemiological characteristics and changing trends of non suicidal self injury (NSSI) behaviors among middle school students in Jiading District of Shanghai, from 2015 to 2023, so as to provide a basis for the development of NSSI prevention and control measures among students. Methods: Using a stratified cluster random sampling method, a total of five times for Shanghai Adolescent Health Risk Behavior Surveys were conducted for every two years in Jiading District of Shanghai from 2015 to 2023. A total of 5 231 middle school students from junior high schools and senior high schools were selected for questionnaire surveys. Intergroup comparisons were performed using the x 2 test or the χ 2 trend test, and the JointPoint 5.0 software was used to analyze the changing trends, with the annual percent change (APC) used for evaluation. A binary Logistic regression model was employed to analyze the related factors of NSSI behavior among middle school students. Results: In 2023, the reported NSSI rate among middle school students in Jiading District was 14.2%. The rate was significantly higher among junior high school students (17.1%) than that among senior high school students (11.1%), and higher among females (19.2%) than that among males (10.0%) ( χ 2=10.04, 23.21, both P <0.01). From 2015 to 2023, the overall reported NSSI rate showed an increasing trend, rising from 8.6% in 2015 to 14.2% in 2023 ( χ 2 trend =22.25), with an APC of 6.64% ( t =3.49), and the APC for girls was 9.79 % ( t =3.20) (all P <0.05). Among students reporting NSSI, the proportion experiencing ≥6 episodes increased from 10.8% in 2015 to 19.2% in 2023 ( χ 2 trend =6.57, P <0.05). Multivariate Logistic regression analysis indicated that girls, junior high school students, those with insomnia, depressive emotion and drinkers had higher risks of NSSI, compared to boys, senior high school students, those without insomnia, non depressive emotion students and non drinkers ( OR =1.71, 1.96, 3.44, 4.76, 1.77, all P < 0.05 ). Conclusions The reported rate of NSSI among middle school students in Jiading District of Shanghai, increased annually from 2015 to 2023, and the proportion of repeated NSSI also showed an upward trend. Early intervention measures targeting middle school students, especially junior high school students and females, should be implemented to prevent and control its occurrence and development.

ObjectiveTo explore the establishment and evaluation methods of the rat model of acute myocardial infarction （AMI） in coronary heart disease with the syndrome of Qi and Yin deficiency by sleep deprivation （SD） combined with isoproterenol （ISO） and preliminarily explore its biological basis. MethodForty SD rats were assigned into normal （no treatment）， SD （treatment in modified multi-platform water environment for 96 h）， ISO （subcutaneous injection of ISO at 100 mg·kg^-1 once every other day for a total of 2 times）， and SD+ISO （injection of 100 mg·kg^-1 ISO after SD for 72 h and 96 h） groups. The cardiac function was detected by small animal echocardiography. The serum levels of creatine kinase （CK）， creatine kinase isoenzyme （CK-MB）， lactate dehydrogenase （LDH）， and cardiac troponin T （cTnT） were measured by biochemical methods. The pathological changes of the myocardial tissue were observed by hematoxylin-eosin staining. The general state， body weight， grip strength， body temperature， behaviors in open field test， serum levels of cyclic adenosine monophosphate （cAMP）， cyclic guanosine monophosphate （cGMP）， cAMP/cGMP ratio， red （R）， green （G）， blue （B） values of the tongue surface， and pulse amplitude were observed and measured to evaluate the modeling results. Enzyme-linked immunosorbent assay was employed to determine the serum levels of interleukin-18 （IL-18）， tumor necrosis factor-α （TNF-α）， superoxide dismutase （SOD）， malondialdehyde （MDA）， corticotropin-releasing factor （CRF）， adrenocorticotropic hormone （ACTH）， triiodothyronine （T3）， tetraiodothyronine （T4）， cluster of differentiation 4 （CD4）， and cluster of differentiation 8 （CD8）. ResultIn terms of disease indicators， the ISO and SD+ISO groups had lower cardiac function indicators than the normal group （P<0.01）. The levels of CK， CM-MB， LDH and cTnT elevated in each model group compared with the normal group （P<0.01）. The pathological changes of myocardial tissue were obvious in the ISO and SD+ISO groups. In terms of syndrome indicators， compared with the normal group， the SD and SD+ISO groups showed decreased body weight at each time point （P<0.01）， and the ISO group showed decreased body weight at the time points of 48 h and 72 h （P<0.05， P<0.01）. The paw temperature and rectal temperature increased in the SD group （P<0.01）. The model groups showed weakened grasp strength， lowered R， G， and B values of the tongue surface （P<0.01）， prolonged immobility time （P<0.01）， reduced total distance and number of entering the central area （P<0.01）， decreased average speed （P<0.05， P<0.01）， and increased cAMP and cGMP （P<0.05， P<0.01）. The cAMP/cGMP ratio was increased in the SD+ISO group （P<0.01）， and the pulse amplitude was decreased in the SD and SD+ISO groups （P<0.01）. In terms of serological indicators，compared with the normal group， the levels of IL-18， TNF-α， SOD and MDA were significantly increased in the ISO and SD+ISO groups （P<0.01）， the CRF， ACTH， CORT， T3， T4， CD4 and CD8 in the model groups were increased （P<0.05， P<0.01）. ConclusionSleep deprivation for 96 h combined with high-dose ISO can successfully establish a rat model of acute myocardial infarction in coronary heart disease with the syndrome of Qi and Yin deficiency. The model evaluation system can be built with disease indicators of western medicine， histopathological indicators， macroscopic indicators of traditional Chinese medicine， and serological indicators.

The assessment of adverse drug events is an important basis for clinical safety evaluation and post-marketing risk control of drugs,and its causality assessment is gaining increasing attention.The existing methods for assessing the causal relationship between drugs and the occurrence of adverse reactions can be broadly classified into three categories:global introspective methods,standardized methods,and probabilistic methods.At present,there is no systematic introduction of the operational details of the various methods in the domestic literature.This paper compares representative causality assessment methods in terms of definition and concept,methodological steps,industry evaluation and advantages and disadvantages,clarifies the basic process of determining the causality of adverse drug reactions,and discusses how to further improve the adverse drug reaction monitoring and evaluation system,with a view to providing a reference for drug development and pharmacovigilance work in China.

Background The detection rates of Legionella pneumophila in metro cooling tower water in various cities are relatively high, while studies investigating the trends of Legionella pneumophila pollution and analyzing its influencing factors are still limited. Objective To investigate the status of Legionella pneumophila contamination in the water of metro cooling towers in a city, to analyze its influencing factors, and to provide a basis for preventing and controlling Legionella pneumophila contamination in metro cooling tower water. Methods After categorizing the metro lines into three groups (>10 years, >5-10 years, and ≤5 years) according to the operating years of each metro line in a city, we randomly selected one line from each group and the selection resulted a total of 58 cooling towers. We collected water samples from the cooling towers during the early, middle, and late stages of cooling tower operation to detect Legionella pneumophila and water quality related indicators. Information on the environment and hygiene management measures of the cooling towers was obtained through on-site investigation and questionnaire survey. Generalized mixed linear models were used to analyze the influencing factors of Legionella pneumophila contamination in cooling tower water. Results The detection rates of Legionella pneumophila in the early, middle, and late stages of cooling tower operation were 25.9%, 77.6%, and 81.0%, respectively. The detection rates in the middle and late stages of operation were significantly higher than that in the early stage (P<0.001). The results of generalized mixed linear regression showed that the total dissolved solids and conductivity were positively associated with positive Legionella pneumophila. For each unit increase in ln-transformed total dissolved solids and conductivity, their ORs (95%CIs) were 3.73 (1.19, 11.69) and 3.62 (1.07, 12.25), respectively. Nitrates, sulfates, and free residual chlorine were negatively associated with positive Legionella pneumophila. For each unit increase in ln-transformed nitrates and sulfates, their ORs (95%CIs) were 0.52 (0.34, 0.80) and 0.54 (0.36, 0.81), respectively. Compared with the group with 0-0.04 mg·L⁻¹ of free residual chlorine, the ORs (95%CIs) for the groups with 0.05-0.30 mg·L⁻¹ and ≥0.31 mg·L⁻¹ of free residual chlorine were 0.22 (0.07, 0.74) and 0.01 (0.01, 0.19), respectively. Nitrates, sulfates, and free residual chlorine were negatively associated with the concentration of Legionella pneumophila. For each unit increase in ln-transformed nitrates and sulfates, the βs (95%CIs) of Legionella pneumophila concentration were −1.17 (−1.59, −0.74) and −1.11 (−1.63, −0.58), respectively. Compared with the group with 0-0.04 mg·L⁻¹ of free residual chlorine, the β (95%CI) was −5.66 (−9.45, −1.87) for the group with ≥0.31 mg·L⁻¹ of free residual chlorine. Conclusion The metro cooling tower water in the selected city is seriously contaminated by Legionella pneumophila, and getting further aggravated as the cooling tower annual operation time increases. Total dissolved solids, conductivity, nitrates, sulfates, and free residual chlorine are the major influencing factors for positive Legionella pneumophila, and nitrates, sulfates, and free residual chlorine are the major influencing factors for the concentration of Legionella pneumophila.

The early response of plant auxin gene family Aux/IAA (auxin/indole-3-acetic acid) and its interaction with auxin response factor (ARF) are important pattern to regulate plant growth and development. This work identified 28 StoIAA and 24 StoARF members based on the whole genome data of the medicinal plant Senna tora L., which were classified into 10 and 8 subfamilies, respectively. Phylogenetic tree and collinearity analysis showed that S. tora has close evolutionary relationship with the IAA and ARF homologous genes of Glycine max, Medicago truncatula, and the segment duplication events dominate the expansion of StoIAA and StoARF. Gene structure analysis showed that the vast majority of StoIAA and StoARF contain characteristic conserved domain. Transcriptome data showed that StoIAAs and StoARFs were expressed in leaves, roots and seeds, some members had tissue specific expression. The StoIAA and StoARF promoter region most contain functional elements related to stress response, growth and development, hormone induction and secondary metabolism. In addition, gene expression analysis showed that many StoIAAs and StoARFs can quickly respond to drought and salt stress and exhibited same expression patterns under both stress condition. The yeast two-hybrid experiment confirmed that StoARF8 and StoARF10 exhibit varying degrees of interaction with multiple StoIAA proteins, respectively. The above results provide a basis for further biological functional analysis of the Aux/IAA and ARF gene family of S. tora.

Abstract: Hyperuricemia is a metabolic disease caused by elevated uric acid in the body, and is closely related to the increased risk of cardiovascular disease, metabolic disorders, and renal complications. In the development process of uric acid-lowering drugs, activity evaluation is a crucial step. At present, the activity screening methods of uric acid-lowering drugs can be roughly divided into two categories: in vitro and in vivo. In vitro screening is mainly for such targets as xanthine oxidase, urate transporters, and purine nucleoside phosphorylase, etc.; while in vivo screening is achieved by rodent, poultry and organoid models. In this article, the activity evaluation methods for uric acid-lowering compounds are comprehensively summarized both in vitro and in vivo, aiming to provide some insight for the development of uric acid-lowering drugs.

Objective:To investigate the incidence of venous thromboembolism (VTE) in patients with esophageal cancer (EC).Methods:The retrospective cohort study was conducted. The clinicopathological data of 8 458 EC patients who were admitted to Sichuan Cancer Hospital from January 2017 to December 2021 were collected. There were 6 923 males and 1 535 females, aged (64±9)years. There were 3 187 patients undergoing surgical treatment, and 5 271 cases undergoing non-surgical treatment. Observation indicators: (1) incidence of VTE in EC patients; (2) treatment and outcomes of patients with VTE. Measurement data with normal distribution were represented as Mean± SD, and comparison between groups was analyzed using the t test. Measurement data with skewed distribution were represented as M(range), and comparison between groups was analyzed using the nonparameter rank sum test. Count data were expressed as absolute numbers or percentages, and comparison between groups was analyzed using the chi-square test or Fisher exact probability. Comparison of ordinal data was analyzed using the nonparameter rank sum test. Results:(1) Incidence of VTE in EC patients. Of 8 458 EC patients, 175 cases developed VTE, with an incidence rate of 2.069%(175/8 458). Among 175 VTE patients, there were 164 cases of deep venous thrombosis (DVT), 4 cases of pulmonary embolism (PE), 7 cases of DVT and PE. There were 59 surgical patients and 116 non-surgical patients. There was no significant difference in thrombus type between surgical and non-surgical EC patients with VTE ( χ2=1.95, P>0.05). Of 3 187 surgical patients, the incidence of VTE was 1.851%(59/3 187), including an incidence of 0.157%(5/3 187) of PE. PE accounted for 8.475%(5/59) of surgical patients with VTE. Of 5 271 non-surgical patients, the incidence of VTE was 2.201%(116/5 271), including an incidence of 0.114%(6/5 271) of PE. PE accounted for 5.172%(6/116) of non-surgical patients with VTE. There was no significant difference in the incidence of VTE or PE between surgical patients and non-surgical patients ( χ2=1.20, 0.05, P>0.05). (2) Treatment and outcomes of patients with VTE. Among 175 EC patients with VTE, 163 cases underwent drug treatment, and 12 cases did not receive treatment. Among 163 cases with drug therapy, 158 cases underwent anticoagulant therapy, 5 cases were treated with thrombolysis. All the 163 patients were improved and discharged from hospital. Conclusions:The incidence of VTE in patients with EC is relatively low, as 2.069%. There is no significant difference in the incidence of VTE or thrombus type between surgical EC patients and non-surgical EC patients.

Objective To detect the levels of serum collagen type Ⅰ alpha 1 chain(COL1A1)and collagen type Ⅰ alpha 2 chain(COL1A2)in patients with intracranial aneurysm(IA),and explore their correlations with aneurysm rupture.Methods A total of 110 IA patients admitted to our hospital were regarded as the IA group and another 100 volunteers who underwent physical examination in our hospital were regarded as the control group.The expression levels of serum COL1A1 and COL1A2 were detected by ELISA.The IA patients were divided into the ruptured group(n=66)and unruptured group(n=44)according to the presence or absence of aneurysm rupture,and the clinical data and expression levels of serum COL1A1 and COL1A2 were compared between the two groups.The expression levels of serum COL1A1 and COL1A2 in patients with different Hunt-Hess grades were compared.The risk factors of aneurysm rupture in patients with IA were analyzed by multivariate Logistic regression analysis.The predictive value of serum COL1A1 and COL1A2 for aneurysm rupture in patients with IA were evaluated by receiver operating characteristic(ROC)curve.The correlation of serum COL1A1 and COL1A2 with Hunt-Hess grade for patients in rupture group was analyzed by Spearman correlation analysis.Results The expression levels of serum COL1A1 and COL1A2 for patients in the IA group were significantly higher than those in the control group(P<0.05).The number of patients with hypertension,diabetes mellitus,hyperlipidemia,aneurysm diameter>10 mm,and the expression levels of serum COL1A1 and COL1A2 in the rupture group were significantly more/higher than those in the unruptured group(P<0.05).The expression levels of serum COL1A1 and COL1A2 in patients with Hunt-Hess grades from Ⅲ to Ⅳ were significantly higher than those in patients with grades from Ⅰ to Ⅱ(P<0.05).The expression levels of serum COL1A1 and COL1A2 for patients in the rupture group were positively correlated with Hunt-Hess grade(r=0.562,0.414,P<0.05).Multivariate Logistic regression analysis showed that hypertension,diabetes mellitus,aneurysm diameter>10 mm,and increased expression levels of COL1A1 and COL1A2 were risk factors for aneurysm rupture in IA patients(P<0.05).The area under the curve(AUC)of aneurysm rupture predicted by serum COL1A1 and COL1A2 together was significantly higher than that predicted by COL1A1 alone(Z=1.905,P=0.028)and COL1A2 alone(Z=1.754,P=0.040).Conclusion The increased expression levels of serum COL1A1 and COL1A2 are risk factors for aneurysm rupture in patients with IA,and their combined prediction of aneurysm rupture in IA patients has certain clinical value.