[Objective] To determine the correlation between traditional Chinese medicine (TCM) inspection of spirit classification and the severity grade of depression based on facial features, offering insights for intelligent intergrated TCM and western medicine diagnosis of depression. [Methods] Using the Audio-Visual Emotion Challenge and Workshop (AVEC 2014) public dataset on depression, which conclude 150 interview videos, the samples were classified according to the TCM inspection of spirit classification: Deshen (得神, presence of spirit), Shaoshen (少神, insufficiency of spirit), and Shenluan (神乱, confusion of spirit). Meanwhile, based on Beck Depression Inventory-II (BDI-II) score for the severity grade of depression, the samples were divided into minimal (0 – 13, Q1), mild (14 – 19, Q2), moderate (20 – 28, Q3), and severe (29 – 63, Q4). Sixty-eight landmarks were extracted with a ResNet-50 network, and the feature extracion mode was stadardized. Random forest and support vectior machine (SVM) classifiers were used to predict TCM inspection of spirit classification and the severity grade of depression, respectively. A Chi-square test and Apriori association rule mining were then applied to quantify and explore the relationships. [Results] The analysis revealed a statistically significant and moderately strong association between TCM spirit classification and the severity grade of depression, as confirmed by a Chi-square test (χ2 = 14.04, P = 0.029) with a Cramer’s V effect size of 0.243. Further exploration using association rule mining identified the most compelling rule: “moderate depression (Q3) → Shenluan”. This rule demonstrated a support level of 5%, indicating this specific co-occurrence was present in 5% of the cohort. Crucially, it achieved a high Confidence of 86%, meaning that among patients diagnosed with Q3, 86% exhibited the Shenluan pattern according to TCM assessment. The substantial Lift of 2.37 signifies that the observed likelihood of Shenluan manifesting in Q3 patients is 2.37 times higher than would be expected by chance if these states were independent—compelling evidence of a highly non-random association. Consequently, Shenluan emerges as a distinct and core TCM diagnostic manifestation strongly linked to Q3, forming a clinically significant phenotype within this patient subgroup. [Conclusion] Automated facial analysis can serve as a common lens for TCM and western psychological assessments align in the diagnosis of depression. The inspection of spirit decline trajectory parallels worsening depression, supporting early screening and stratified intervention, and providing a reference for the intelligent assistance of integrated TCM and western medicine in the diagnosis of depression.

Objective: To investigate treatment strategies for chronic periapical periodontitis in prematurely erupted premolars and provide guidance for managing pulp and periapical diseases in young permanent teeth with immature roots. Methods: A regenerative endodontic procedure (REP) was performed on a prematurely erupted maxillary left first premolar (tooth 24) at Nolla stage Ⅶ with chronic apical periodontitis, following standardized protocols including root canal irrigation, disinfection, and coronal sealing. The case was followed up, and a literature review was conducted. Results: Clinical resolution of symptoms was observed on tooth 24, with sustained root development. After a 20-month follow-up, the tooth had restored biological function. Literature synthesis revealed that periapical infections in prematurely erupted permanent teeth predominently arise from pulp exposure and bacterial infection, with retrograde infection being rare. For young permanent teeth with necrotic pulp, regenerative endodontic procedures has been established as the treatment of choice to promote apical closure and root maturation. The critical steps of regenerative endodontic procedures include thorough disinfection, induced bleeding to form a fibrin scaffold, and coronal sealing to facilitate stem cell recruitment and differentiation. Conclusion Regenerative endodontic procedures represents an effective and viable treatment option for prematurely erupted young permanent teeth with chronic periapical periodontitis.

Under the background of the Healthy China strategy， the integration of traditional Chinese medicine （TCM） into the public health emergency response system has become an important measure to enhance the capacity for coping with public health emergencies. In recent years， the role of TCM in responding to such emergencies has become increasingly prominent. Taking major emerging epidemics as an example， TCM has developed a rich theoretical system and practical experience in epidemic prevention and treatment over thousands of years， and has played a significant role in successive outbreaks with its unique advantages. Based on the concept of ''preventing disease before its onset'' and the theoretical framework of treatment based on syndrome differentiation， TCM has achieved remarkable results through early intervention and full participation in the integrated model of TCM and Western medicine， from severe acute respiratory syndrome （SARS） to corona virus disease-2019 （COVID-19）， in improving clinical symptoms and outcomes， reducing adverse reactions， and promoting recovery. From the perspective of the Healthy China strategy， this paper systematically reviews the historical development of TCM in epidemic prevention and treatment， with particular attention to recent epidemics such as SARS， influenza A （H1N1）， and COVID-19. It further examines the similarities and differences between TCM and Western medicine in responding to major emerging epidemics， as well as relevant policies related to TCM in epidemic prevention and control. In addition， it summarizes the existing problems in TCM's role in the prevention and treatment of major emerging epidemics， and explores measures to improve its rapid response capacity under the Healthy China strategy. This study not only provides a ''Chinese solution'' for the prevention and control of newly emerging infectious diseases worldwide， but also offers theoretical and practical references for strengthening the public health emergency response system， carrying strategic significance for promoting the modernization and internationalization of TCM.

Objective To explore the occurrence and development trajectories of symptoms at different time points in patients with acute pancreatitis (AP), and to analyze the influencing factors and preventive measures of development trajectories of AP symptom clusters. Methods A convenient sampling method was used to select AP who were admitted from January 2023 to December 2023 were selected and included in the study. The symptoms at different time points were recorded. The severities of symptom clusters in AP patients were explored, and the development trajectories of main symptom clusters were analyzed. Univariate and multivariate logistic regression analyses were used to analyze the influencing factors of development trajectories of symptom clusters in AP patients. Results The incidence rates of abdominal pain, dry mouth, abdominal distension and lack of energy were higher in AP patients during hospitalization. The incidence rates of lack of energy, anxiety, abdominal pain and sleep disturbance were higher on the 1^st month after discharge. The incidence rates of abdominal distension, abdominal pain, sleep disturbance and anxiety were higher on the 3^rd month after discharge. The incidence rates of anxiety, abdominal pain and irritability were higher on the 6^th month after discharge. The fatigue symptom cluster, psychological symptom cluster and gastrointestinal symptom cluster were extracted during hospitalization and on the 1^st month and the 3^rd month after discharge, and the psychological symptom cluster and gastrointestinal symptom cluster were extracted on the 6^th month. The severity scores of symptom clusters at each time point were statistically different (P<0.05). The development of gastrointestinal symptom cluster in AP patients was mainly low decline. The development of psychological symptom cluster was mainly high decline. Drinking history and diabetes mellitus were the influencing factors of development trajectory of gastrointestinal symptom cluster in AP patients (P<0.05). High disease severity, drinking history and biliary tract disease were the influencing factors of development trajectory of psychological symptom cluster in AP patients (P<0.05). Conclusion The symptom clusters of AP patients changes over time, with digestive, fatigue, and psychological symptoms being the main groups in the early stage, and psychological and digestive symptoms persisting in the later stage. Early identification and intervention are crucial for improving the prognosis of AP patients.

Objective To investigate the effect of Ganoderma lucidum polysaccharide peptide(GLPP)on proliferation,migration and apoptosis of diffuse large B cell lymphoma(DLBCL)cells and its mechanism.Methods OCI-LY19 cells were divided into six groups:control,GLPP,si-NC,si-protein arginine methyltransferase 6(PRMT6),GLPP+pcDNA3.1-NC and GLPP+pcDNA3.1-PRMT6 groups.The si-NC,si-PRMT6,GLPP+pcDNA3.1-NC and GLPP+pcDNA3.1-PRMT6 groups were transfected with si-NC,si-PRMT6,pcDNA3.1-NC and pcDNA3.1-PRMT6,respectively.After the transfection was completed,control,si-NC and si-PRMT6 groups were treated with RPMI-1640 medium,while the GLPP,GLPP+pcDNA3.1-NC and GLPP+pcDNA3.1-PRMT6 groups were cultured with RPMI-1640 medium containing with 20 μg·mL-1 GLPP.After administration 24 h,the cell proliferation inhibition rates,mobility rates and apoptosis rates were detected.The expression levels of PRMT6 protein were measured by Western blotting.Results The cell proliferation inhibition rates of si-NC,si-PRMT6,GLPP+pcDNA3.1-NC and GLPP+pcDNA3.1-PRMT6 groups were(1.28±0.16)％,(38.61±3.29)％,(52.84±7.74)％and(22.75±3.87)％,respectively.The number of cell migrations in the control,GLPP,si-NC,si-PRMT6,GLPP+pcDNA3.1-NC and GLPP+pcDNA3.1-PRMT6 groups was(252.65±24.65),(136.54±16.46),(231.65±21.24),(142.76±15.34),(140.23±9.84)and(192.38±23.38)cells;the apoptosis rates were(4.36±0.52)％,(28.24±2.36)％,(4.23±0.45)％,(24.54±2.27)％,(28.42±3.85)％and(14.25±2.13)％);the expression levels of PRMT6 protein were 1.82±0.21,0.56±0.05,1.78±0.19,0.54±0.05,0.29±0.02 and 0.32±0.03,respectively.The differences of above indexes were statistically significant between control group and GLPP group,between si-NC group and si-PRMT6 group,between GLPP+pcDNA3.1-NC group and GLPP+pcDNA3.1-PRMT6 group(all P＜0.05).Conclusion GLPP could inhibit proliferation,migration and promote apoptosis of DLBCL cells by down-regulating PRMT6 expression.

ObjectiveTo observe the clinical effect of Jieyu Qingxin formula granules combined with remote interactive cognitive behavioral therapy for insomnia （CBT-I） on chronic insomnia of liver depression and fire-turning type. MethodThis study was a prospective randomized controlled trial. 120 patients with chronic insomnia of liver depression and fire-turning type in Lu'an traditional Chinese medicine Hospital from January 2022 to June 2023 were selected as objects. They were randomly divided into two groups，with 60 cases in each group. The control group received remote interactive CBT-I. The observation group was treated with Jieyu Qingxin formula granules on the basis of the control group. Intervention treatment lasted for four weeks，and observation lasted for six weeks. Comparison of data of each group：clinical efficacy，changes in traditional Chinese medicine （TCM） syndrome score before and after treatment，changes in insomnia severity index （ISI） score，self-rating depression scale （SDS） and self-rating anxiety scale （SAS） score changes，total sleep time，wake time，sleep latency，sleep efficiency， Actigraphy sleep parameter value changes，serum neuron specific enolase （NSE） ，adenosine，dopamine （DA）， 5-hydroxytryptamine （5-HT） level changes，and adverse reactions. ResultThe total effective rate in the observation group （92.45%，49/53） was higher than that in the control group（76.92%，40/52）， and the difference was statistically significant（χ²=4.711 1，P<0.05）. After treatment，TCM syndrome score，ISI score，SAS score， and SDS score were decreased in all groups. The total sleep time was extended，and wake time and sleep latency were shortened. The sleep efficiency was increased，but the NSE and DA levels were decreased. Adenosine and 5-HT levels were increased in all groups（P<0.05）. After treatment，compared with the control group，the observation group had lower TCM syndrome score，ISI score，SAS score， and SDS score，longer total sleep time，higher sleep efficiency，shorter wake time and sleep latency，lower NSE and DA levels， and higher adenosine and 5-HT level （P<0.05）. There was one case of nausea in the observation group and no adverse reaction in the control group during treatment. There was no significant difference between the two groups. ConclusionBy reducing NSE and DA and increasing the levels of 5-HT and adenosine，the anxiety （SAS score） and depression （SDS score） of patients can be improved， so as to improve their sleep and effectively treat chronic insomnia of liver depression and fire-turning type.

Objective: To estimate the epidemic threshold and graded intensity thresholds of influenza in Zhejiang Province from 2012 to 2023 using the moving epidemic method (MEM), and evaluate the intensity of influenza epidemics, so as to provide the reference for influenza prevention and control in Zhejiang Province. Methods: The positive rates of influenza virus per week during the influenza epidemic seasons (from 40th week to 20th week of the following year) in Zhejiang Province from 2012 to 2022 were collected through the Chinese Influenza Surveillance Information System. A MEM model was established and optimized using cross-validation. The maximum accumulated rates percentage was used to divide the epidemic into pre-epidemic, epidemic, and post-epidemic periods, and to estimate the epidemic thresholds and graded intensity thresholds. The intensity of influenza epidemics in Zhejiang Province during the 2022-2023 epidemic season were assessed. Results: The positive rates of influenza virus in five epidemic seasons from 2012 to 2022 were included in the model. The MEM model performed best when the parameter δ was set to 1.5, with a sensitivity of 0.971, a specificity of 0.745, and a Youden's index of 0.716. According to the model analysis, the epidemic beginning and ending thresholds of influenza in Zhejiang Province during the 2022-2023 epidemic season were 19.32% and 10.92%, respectively, and the medium, high, and extremely high intensity thresholds were 48.65%, 63.49%, and 68.47%, respectively. During 2022-2023, the influenza epidemic was in the pre-epidemic period from the 40th week in 2022 to the 7th week in 2023; the epidemic period was from the 8th to the 18th week, the epidemic intensity was low in the 8th week and increased to a high level in the 9th week, and reached to a extremely high level from the 10th to the 13th week, then fell to the high and the medium level in the 14th week and 15th week, respectively, and fell to a low level from the 16th to the 18th week; the influenza epidemic entered the post-epidemic period since the 19th week. Conclusion MEM could be applied for evaluation of influenza epidemic intensity, providing the reference for early identification and taking graded preventive and control measures.

Talents are the main force for the development of traditional Chinese medicine（TCM）， and the construction of TCM talents and the reformation of talent evaluation system are essential to promote the inheritance and innovation of TCM. At present， we are still exploring and developing in the fields of the formulation， implementation and evaluation indicators of TCM talent evaluation system. However， there are shortcomings and difficulties. For instance， insufficient stratification in the evaluation， excessive emphasis on the quantity of achievements， neglecting the quality of the achievements and the actual contribution， imperfect assessment indicators， and the weak characteristics of TCM. Therefore， national ministries and commissions have jointly issued a document requesting to break the four only and set a new standard， in order to promote the construction of a scientific and technological talent evaluation system oriented by innovation value， ability and contribution. For the evaluation of TCM clinical talents， China Association for Science and Technology commissioned China Association of Chinese Medicine to build the China Clinical Cases Library of TCM（CCCL-TCM）， which aims at collecting the most authoritative and representative TCM clinical cases and exploring the advantages of applying clinical cases as masterpiece of achievement in TCM clinical talents evaluation. CCCL-TCM can promote the construction of a talent evaluation system that is more in line with the development characteristics of TCM industry， and to carry out relevant pilot in TCM colleges and institutions across the country in order to promote the reformation of TCM talent evaluation system.

Objective To explore the value of dynamic ultrasound combined with 3.0T MRI for diagnosing and typing synovial plica of knee joint.Methods Dynamic ultrasound and 3.0T MRI data of 100 patients with suspected synovial plica of knee joint were retrospectively analyzed.Taking the results of arthroscopy as standards,the efficacy of dynamic ultrasound and 3.0T MRI alone and their combination for diagnosing synovial plica of knee joint were evaluated and compared.The length and thickness of synovial plica of knee joint measured with dynamic ultrasound,3.0T MRI alone and their combination were compared with those of arthroscopy,and the consistencies of the location and classification of synovial plica of knee joint with arthroscopy were analyzed.Results Synovial plica was detected in 70 cases,including 11 cases of supropatellar synovial plica,15 cases of infrapatellar synovial plica,medial patellar in 30 cases and lateral patellar synovial plica in 14 cases,among them type A,B,C and D were classified in 9,35,23 and 3 cases,respectively.No significant difference of sensitivity was found between dynamic ultrasound and 3.0T MRI alone for diagnosing synovial plica of knee joint(P＞0.05),which were both lower than that of their combination(both P＜0.05).The length and thickness of knee synovial plica measured with dynamic ultrasound and 3.0T MRI alone were lower than those measured with their combination and arthroscopy(all P＜0.05),and there was no significant difference between the results of their combination and arthroscopy(both P＞0.05).Dynamic ultrasound,3.0T MRI alone and their combination had high consistency of location(Kappa=0.755,0.826,0.897)and classification of knee synovial plica with those of arthroscopy(Kappa=0.721,0.744,0.860).Conclusion Dynamic ultrasound combined with 3.0T MRI was valuable for diagnosing and typing of synovial plica of knee joint.

Background::Growth retardation is a common complication of chronic kidney disease in children, which can be partially relieved after renal transplantation. This study aimed to develop and validate a predictive model for growth patterns of children with end-stage renal disease (ESRD) after kidney transplantation using machine learning algorithms based on genomic and clinical variables.Methods::A retrospective cohort of 110 children who received kidney transplants between May 2013 and September 2021 at the First Affiliated Hospital of Zhengzhou University were recruited for whole-exome sequencing (WES), and another 39 children who underwent transplant from October 2021 to March 2022 were enrolled for external validation. Based on previous studies, we comprehensively collected 729 height-related single-nucleotide polymorphisms (SNPs) in exon regions. Seven machine learning algorithms and 10-fold cross-validation analysis were employed for model construction.Results::The 110 children were divided into two groups according to change in height-for-age Z-score. After univariate analysis, age and 19 SNPs were incorporated into the model and validated. The random forest model showed the best prediction efficacy with an accuracy of 0.8125 and an area under curve (AUC) of 0.924, and also performed well in the external validation cohort (accuracy, 0.7949; AUC, 0.796). Conclusions::A model with good performance for predicting post-transplant growth patterns in children based on SNPs and clinical variables was constructed and validated using machine learning algorithms. The model is expected to guide clinicians in the management of children after renal transplantation, including the use of growth hormone, glucocorticoid withdrawal, and nutritional supplementation, to alleviate growth retardation in children with ESRD.