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.

In this work, starting from 4-hydroxycoumarin, three series of 22 coumarin derivatives, among which 8 have not been reported in the literature, were synthesized and their in vitro anti-inflammatory activities and mechanisms of action were preliminarily investigated using mouse macrophage model. The results showed that most of the derivatives could significantly inhibit the production of pro-inflammatory factor NO, with compounds 2e, 2f, 2g, 2h, 2i, 2j, 4e, and 4f showing better anti-inflammatory activity than the positive control drug dexamethasone. Further experiments showed that compounds 2h and 4f significantly inhibited the production of pro-inflammatory factors IL-6, TNF-α and IL-1β in RAW264.7 macrophages, and could, therefore, be used as lead compounds for further studies.

Schizophrenia (SZ) stands as a severe psychiatric disorder. This study applied diffusion tensor imaging (DTI) data in conjunction with graph neural networks to distinguish SZ patients from normal controls (NCs) and showcases the superior performance of a graph neural network integrating combined fractional anisotropy and fiber number brain network features, achieving an accuracy of 73.79% in distinguishing SZ patients from NCs. Beyond mere discrimination, our study delved deeper into the advantages of utilizing white matter brain network features for identifying SZ patients through interpretable model analysis and gene expression analysis. These analyses uncovered intricate interrelationships between brain imaging markers and genetic biomarkers, providing novel insights into the neuropathological basis of SZ. In summary, our findings underscore the potential of graph neural networks applied to multimodal DTI data for enhancing SZ detection through an integrated analysis of neuroimaging and genetic features.
Humans ; Schizophrenia/pathology* ; Diffusion Tensor Imaging/methods* ; Male ; Female ; Adult ; Brain/metabolism* ; Young Adult ; Middle Aged ; White Matter/pathology* ; Gene Expression ; Nerve Net/diagnostic imaging* ; Graph Neural Networks

Objective To investigate the correlation between WT1,BCR-ABL genes and interleukin-6(IL-6),vascular endothelial growth factor(VEGF),plasma protein C(PC),plasma protein S(PS)in patients with myeloproliferative neoplasms(MPN).Methods A total of 54 MPN patients treated in this hospital from January 2021 to January 2024 were selected as the MPN group,and 54 healthy subjects undergoing physical examination during the same period were selected as the control group.The gene relative expression levels of WT1,BCR-ABL and levels of IL-6,VEGF,PC,and PS were detected and compared between the two groups.The correlations between WT1,BCR-ABL gene relative expression levels and IL-6,VEGF,PC,PS levels were analyzed,and the diagnostic efficacy of WT1 and BCR-ABL genes for MPN was evaluated by receiver operat-ing characteristic(ROC)curve.Results Compared with the control group,the gene relative expression levels of WT1,BCR-ABL and the levels of IL-6 and VEGF in the MPN group were higher,while the levels of PC and PS were lower,with statistically significant differences(P<0.05).Pearson correlation analysis showed that WT1 and BCR-ABL gene relative expression levels were positively correlated with IL-6 and VEGF levels,and negatively correlated with PC and PS levels(P<0.05).The combined use of WT1 and BCR-ABL genes has higher diagnostic efficacy for MPN than single indicators,with an area under the curve(AUC)of 0.833 and a sensitivity of 88.69%.Conclusion The relative expression levels of WT1 and BCR-ABL genes are correlated with IL-6,VEGF,PC,and PS levels in MPN patients.The combination of WT1 and BCR-ABL genes can effec-tively diagnose MPN.

Objective To explore the influence of 3D printed individualized tissue compensators on the dose of the radiotherapy target area and the radiotherapy accuracy in intensity-modulated radiotherapy for vul-var carcinoma.Methods Twenty patients with vulvar cancer who visited this hospital from December 2022 to December 2024 were selected as the research subjects and divided into the control group and 3D group accord-ing to the random number table method,10 cases in each group.The control group used the conventional tis-sue compensators,while the 3D group used the 3D printed individualized tissue compensators.The dosimetric results of the target area and normal tissues were compared between the two groups.Results Compared with the control group,the maximum dose[(5 501.00+22.12)cGy vs.(5 659.60+84.59)cGy],average dose[(5 203.60+52.45)cGy vs.(5 258.70+42.95)cGy]and dose of 2％target volume[(5 360.30+63.70)cGy vs.(5 408.90+91.90)cGy]in the 3D group were lower,and the homogeneity index(0.12+0.01 vs.0.13+0.02)and conformity index(1.16+0.05 vs.1.23+0.04)were better,and the differences were statistically significant(P＜0.05).There was no statistically significant difference in dose of 30％clinical target volume of the bladder and rectum between the two groups(P＞0.05).During and after radiotherapy,among 20 cases,4 cases presented with grade 3 skin reactions,which were wet peeling,with 2 cases in each of the two groups.The remaining 16 cases had the grade 1 to 2 skin reactions.Conclusion In intensity-modulated radiotherapy for vulvar carcinoma,the dose distribution of 3D-printed personalized tissue compensators is superior to that of conventional organizational compensators.

The morbidity of gout is increasing year by year,and it has become a common and frequent disease.Once induced,the pain will reach its peak within 24 hours,which leading unsufferable pain to the patients.Buccal needling is a new micro-needling therapy created by Professor WANG Yongzhou's team,which was discovered and summarized in clinical practice of acupuncture after years of research.Buccal needling exerts certain efficacy in the treatment of acute gout.The progress of gout is related to the three levels of"body,qi and spirit".This paper discusses buccal needling in the treatment of acute gouty arthritis from the view of biological holographic theory,generalized triple energizer theory,and the theory of the integration of spirit and body,thus to provide certain reference for the further development of buccal needling in the treatment of pain-related diseases.

Objective To investigate the detection conditions,risk factors and preventive measures of colorectal polyps in health examination population undergoing painless colonoscopy.Methods A total of 2 680 people who underwent painless colonoscopy at the Health Management Center of the First Affiliated Hospital of Naval Medical University from January to December 2023 were enrolled in this retrospective study.They were assigned into polyp group and non-polyp group according the examination results.The general information of the two groups was collected to explore the risk factors of colorectal polyps,so as to provide reference for the prevention strategy of colorectal polyps.Results The colorectal polyps were detected in 1 223 people(45.63%),including 633 cases(51.76%)of adenomatous polyps,587 cases(48.00%)of non-adenomatous polyps,and 3 cases(0.25%)of colorectal cancer.Logistic regression analysis indicated that male,smoking history,alcohol drinking history,age 40-59 years old,hyperlipidemia,and CRP>10 mg/L were risk factors of colorectal polyps(P<0.05).Conclusion There is a high detection rate of colorectal polyps in physical examination population.Men,aged 40-59 years old,hyperlipidemia,smoking history,alcohol drinking history,and CRP>10 mg/L are high risk factors of colorectal polyps,which should be paid more attention for the prevention and monitoring of colorectal polyps.

Angiosarcoma(AS)is a rare soft tissue sarcoma originating from vascular or lymphatic endothelial cells,accounting for less than 1% of soft tissue sarcomas.It is most common in skin and surface of soft tissue.The diagno-sis of AS is based on pathology,and the expression of CD31,ERG and CD34 is commonly positive in immuno-his-tochemistry.Staging is performed according to the American Joint Committee on Cancer(AJCC)criteria for soft tis-sue sarcoma.Radical surgery is the primary therapy for locally confined disease.For un-resectable or metastatic an-giosarcoma,chemotherapy is the main treatment method.Targeted therapy and immunotherapy have developed rap-idly in recent years,and the combined therapy of different types of chemotherapy drug has been the focus of optimi-zation in the future.

  Objective  To investigate the needs of eight-year program clinical medical students for the organization and contents of clinical oncology courses.  Methods  From September to November 2020, a questionnaire survey was conducted among eight-year program clinical medicine students in Peking Union Medical College to find out their knowledge base in oncology, teaching mode preference and course contents of interest.  Results  A total of 122 students participated in the survey, in which 89.3%(109/122) of the students showed interest in basic and clinical research projects related to oncology, 84.4%(103/122) thought it was better to use Simulation-based medical education (SBME), and 91.0%(111/122) hoped to learn throughoff-line discussion. In terms of course contents, eight-year program medical students were more interested in knowledge directly related to clinical context, such as diagnosis, treatment, multidisciplinary comprehensive treatment and evidence-based medicine. In terms of sub-analysis, traditional eight-year students (86%, 92/107) showed a higher acceptance of palliative care than students in the 4+4 reform program(60%, 9/15) and were more willing to act as scriptwriters in SBME(26% vs. 7%, P=0.013). The students in clinical phase gained a better understanding of oncology knowledge through research training and were more inclined to take on the role of scriptwriters in SBME than those in basic phase (27% vs. 11%, P=0.048).  Conclusions  The eight-year program clinical medical students are interested in the clinical oncology course and prefer study in the form of Simulation-based medical education (SBME).

Objective:To explore the effect of Jian-Pi-Zhi-Dong decoction on autonomous activity and dopamine (dopamine, DA) synaptic vesicle protein expression in the striatum of Tourette syndrome (TS) model rats.Methods:The 4-week-old male SD rats were used to establish the TS model by intraperitoneal injection of N-aminodipropionate. Thirty successfully modeled rats were randomly divided into model group, Chinese medicine group, and tiberide group according to random number table method, with 10 rats in each group. And another 10 rats with matched body mass were selected as the control group. Rats in Chinese medicine group were given Jian-Pi-Zhi-Dong decoction solution (1.6 g/100 g) and the rats in tiapride group were given sulfate tiapride suspension (2.1 mg/100 g), while rats in control group and model group were given an equal volume of 0.9% sodium chloride solution, once a day for 4 weeks.The number of autonomous activities in rats was determined by autonomous activity programmer. ELISA was used to detect the level of DA in the striatum of rats and the expression of dopamine transporter (DAT).Vesicular monoamine transporter-2 (VMAT2) and α-synuclein (α-syn) were measured by Western blot.SPSS 25.0 software was used for data analysis. Multiple group comparisons were performed using one-way ANOVA, non-parametric test and repeated measures ANOVA.Results:Comparing the number of autonomous activities among the 4 groups, the interaction effect between time and group was significant ( F=184.354, P<0.001). At the 1-4 weeks of gavaging, the numbers of autonomic activities in the model group were more than those in the control group (all P<0.05).While the numbers of autonomic activities in Chinese medicine group and tiapride group were less than those in the model group (all P<0.05). Moreover, the numbers of autonomic activities in Chinese medicine group and tiapride group from 1 to 4 weeks were less than those after model making (all P<0.05). The Western blot results showed significant differences in the relative expression of α-syn ( H=29.098), DAT ( F=54.632) and VMAT2 ( H=18.982) among the 4 groups (all P<0.001). The expression levels of α-syn protein in Chinese medicine group and tiapride group were both lower than that in the model group (0.39(0.36, 0.51), 0.39(0.36, 0.50), 0.62(0.50, 0.70)) (both P<0.05). The expression level of DAT protein in Chinese medicine group was higher than that in the model group and lower than that in tiapride group ((0.37±0.06), (0.26±0.07), (0.49±0.09)) (both P<0.05). And the expression level of VMAT2 protein in Chinese medicine group had no significant difference compared with that in the model group ( P>0.05).The ELISA results showed significant differences in DA content of striatum among the 4 groups ( F=75.370, P<0.001). The level of DA in the model group was higher than that in the control group ((7.65±0.72) ng/L, (3.71±0.59) ng/L, P<0.05). The levels of DA in Chinese medicine group ((3.92±0.81) ng/L) and tiapride group ((4.40±0.53) ng/L) were lower than that in the model group (both P<0.05), and the difference between Chinese medicine group and tiapride group was not significant ( P>0.05). Conclusion:Jian-Pi-Zhi-Dong decoction can relieve the tic symptoms of the model rats with TS, and its mechanism may be related to inhibiting the excessive release of α-syn, improving the expression of DAT and VMAT2, improving the DA synaptic vesicle circulation, and reducing the DA content in the synaptic space of the brain.