To explore the advantages of traditional Chinese medicine （TCM） and integrative TCM-Western medicine approaches in the treatment of diabetic microvascular complications （DMC）， refine key pathophysiological insights and treatment principles， and promote academic innovation and strategic research planning in the prevention and treatment of DMC. The 38th session of the Expert Salon on Diseases Responding Specifically to Traditional Chinese Medicine， hosted by the China Association of Chinese Medicine， was held in Beijing， 2024. Experts in TCM， Western medicine， and interdisciplinary fields convened to conduct a systematic discussion on the pathogenesis， diagnostic and treatment challenges， and mechanism research related to DMC， ultimately forming a consensus on key directions. Four major research recommendations were proposed. The first is addressing clinical bottlenecks in the prevention and control of DMC by optimizing TCM-based evidence evaluation systems. The second is refining TCM core pathogenesis across DMC stages and establishing corresponding "disease-pattern-time" framework. The third is innovating mechanism research strategies to facilitate a shift from holistic regulation to targeted intervention in TCM. The fourth is advancing interdisciplinary collaboration to enhance the role of TCM in new drug development， research prioritization， and guideline formulation. TCM and integrative approaches offer distinct advantages in managing DMC. With a focus on the diseases responding specifically to TCM， strengthening evidence-based support and mechanism interpretation and promoting the integration of clinical care and research innovation will provide strong momentum for the modernization of TCM and the advancement of national health strategies.

Objective: To understand the epidemiological characteristics of a pertussis outbreak in Guangzhou, so as to provide references for outbreak response and prevention strategies. Methods: From April 5 to June 9, 2024, case screening was conducted among 246 preschool children, 35 staff members, and one full time school nurse in a kindergarten in Guangzhou based on case definition. Field epidemiological investigation methods were employed to collect relevant information, and screening samples were collected from individuals involved in the outbreak. The clinical manifestations, epidemiological characteristics, and risk factors for transmission of the outbreak were analyzed, with rate comparisons performed using the χ 2 test. Results: There were a total of 15 confirmed cases of pertussis in the kindergarten. The main clinical manifestations included intermittent cough in 14 cases ( 93.33 %), sputum production in 5 cases (33.33%), fever in 2 cases (13.33%), paroxysmal spasmodic cough in 1 case (6.67%), and vomiting in 1 case (6.67%). There was no statistically significant difference in the reporting rates of interrupted cough symptoms between pertussis cases (93.33%) and non pertussis cases (92.86%)( χ 2=3.74, P >0.05). The cases were aged 4-5 years, including 5 males and 10 females. The interval between symptom onset and diagnosis ranged from 2 to 25 days, with a median of 10 days. The outbreak involved two classes, with attack rates of 48.28% and 3.45%, respectively. Laboratory testing confirmed 14 close contacts positive for Bordetella pertussisnucleic acid. Among close contacts, only one received prophylactic medication as required. Conclusion The outbreak is a pertussis outbreak in a kindergarten caused by Bordetella pertussis infection, demonstrating distinct temporal and spatial clustering characteristics.

ObjectiveTo explore the diagnostic value of plasma C-C motif chemokine ligand 3（CCL3） levels in infectious diseases. MethodsThe study enrolled patients in hospital or outpatient service and individuals undergoing health check-ups at Guangdong Provincial People's Hospital from July to October 2023. Patients clinically diagnosed with infectious diseases were assigned to the experimental group， while those who were healthy or diagnosed with non-infectious diseases were included in the control group. After non-qualifying samples were excluded， residual blood specimens from complete blood count （CBC） tests were collected to measure the plasma CCL3 levels.The CBC parameters including white blood cell count （WBC）， neutrophils count （NEUT）， eosinophils count （EOS），etc， and the plasma CCL3 levels were analyzed between the infectious and control groups to evaluate the clinical diagnostic value of CCL3 in infectious diseases. ResultsA total of 257 cases were enrolled， with 167 in the experimental group （active infections confirmed via clinical symptoms， CBC， inflammatory markers， or etiological examinations） and 90 in the control group （confirmed absence of active infections）. The experimental group exhibited higher levels of WBC， NEUT and CCL3 than the control group， while the lymphocytes count（LYMPH）， EOS in the experimental group were lower， with statistical significance （P<0.001） in univariate analysis. By using these significantly different indicators as independent variables， logistics regression modeling identified WBC， NEUT and CCL3 as independent risk factors for infection. Receiver operating characteristic（ROC） curve analysis revealed superior diagnostic performance of CCL3 over WBC and NEUT， while LYMP and EOS showed no diagnostic performance. The area under the curve （AUC） for CCL3 was 0.844 （95% CI： 0.795， 0.892）， with a sensitivity of 84.4%， a specificity of 69.8%， and an optimal threshold of 106.405 ng/mL. ConclusionPlasma CCL3 levels have clinical diagnostic value in predicting infectious diseases and may serve as a potential clinical biomarker for detecting infectious diseases.

BackgroundMigrant children face many challenges in the process of social change and adaptation to a new environment， especially in school adaptation. Studies have shown that peer attachment plays a vital role in the social adaptation of children and adolescents， while psychological resilience and sense of security， as important psychological resources， also play a moderating and mediating role in individuals' coping with environmental changes. However， there is a lack of systematic research on how peer attachment affects the school adaptation of migrant children through psychological resilience and whether this process is moderated by sense of security. ObjectiveTo explore the relationship between peer attachment and school adaptation of migrant children and to examine the path of psychological resilience and sense of security in it， so as to provide references for improving the school adaptation of migrant children. MethodsUsing cluster sampling method， 695 migrant children in grades 4 to 6 of a primary school in an urban-rural fringe area of Sichuan Province were selected from April 1 to 30， 2022. Assessments were conducted using Revised Inventory for Parent and Peer Attachment （IPPA-R）， Resilience Scale for Chinese Adolescents （RSCA）， Scale of Sense of Security of Children Left Behind （SSSCLB） and Scale of School Adjustment of Student （SSAS）. Process 4.1 was used to examine the role of psychological resilience and sense of security. ResultsA total of 631 （90.79%） valid questionnaires were gathered. There were significant positive correlations among IPPA-R peer attachment subscale score， RSCA score， SSSCLB score and SSAS score （r=0.160~0.600， P<0.01）. Peer attachment had a significant positive predictive effect on the school adaptation （β=0.178， P<0.01） and psychological resilience （β=0.518， P<0.01） of migrant children. Psychological resilience had positive predictive effect on the school adaptation （β=0.467， P<0.01）. Psychological resilience played a partial mediating role in the relationship between peer attachment and school adaptation， with the mediating effect value was 0.242 （95% CI： 0.184~0.302）， accounting for 57.62% of the total effect. Moreover， the interaction term between psychological resilience and sense of security had a significant predictive effect on school adaptation （β=0.103， P<0.01）. ConclusionThe psychological resilience of migrant children plays a partial mediating role in the relationship between peer attachment and school adaptation， and the status of sense of security can moderate the relationship between psychological resilience and school adaptation of migrant children.

Lung cancer is the most common malignant tumor worldwide, ranking first in both incidence and mortality rates. According to the latest statistics from the International Agency for Research on Cancer (IARC), approximately 2.5 million new cases and around 1.8 million deaths from lung cancer occurred in 2022, placing a tremendous burden on global healthcare systems. The high mortality rate of lung cancer is closely linked to its subtle early symptoms, which often lead to diagnosis at advanced stages. This not only complicates treatment but also results in substantial economic losses. Current treatment options for lung cancer include surgery, radiotherapy, chemotherapy, targeted drug therapy, and immunotherapy. Among these, immunotherapy has emerged as the most groundbreaking advancement in recent years, owing to its unique antitumor mechanisms and impressive clinical benefits. Unlike traditional therapies such as radiotherapy and chemotherapy, immunotherapy activates or enhances the patient’s immune system to recognize and eliminate tumor cells. It offers advantages such as more durable therapeutic effects and relatively fewer toxic side effects. The main approaches to lung cancer immunotherapy include immune checkpoint inhibitors, tumor-specific antigen-targeted therapies, adoptive cell therapies, cancer vaccines, and oncolytic virus therapies. Among these, immune checkpoint inhibitors and tumor-specific antigen-targeted therapies have received approval from the U.S. Food and Drug Administration (FDA) for clinical use in lung cancer, significantly improving outcomes for patients with advanced non-small cell lung cancer. Although other immunotherapy strategies are still in clinical trials, they show great potential in improving treatment precision and efficacy. This article systematically reviews the latest research progress in lung cancer immunotherapy, including the development of novel immune checkpoint molecules, optimization of treatment strategies, identification of predictive biomarkers, and findings from recent clinical trials. It also discusses the current challenges in the field and outlines future directions, such as the development of next-generation immunotherapeutic agents, exploration of more effective combination regimens, and the establishment of precise efficacy prediction systems. The aim is to provide a valuable reference for the continued advancement of lung cancer immunotherapy.

Objective: To investigate the association of serum alanine aminotransferase (ALT) with left ventricular hypertrophy (LVH) in adolescents, and to provide scientific evidence for the early screening and intervention strategy of cardiac structure damage. Methods: Data were obtained from the third follow up survey (October 2023) of the "Huantai Childhood Cardiovascular Health Cohort Study", including 1 156 healthy adolescents aged 12-17 with complete information. The sample population was stratified into low ( Q 1 group), medium ( Q 2 group), and high ( Q 3 group) ALT levels based on tertiles within the same gender and age groups. Inter group comparisons were conducted using analysis of variance and trend test. A multivariate Logistic regression model was used to analyze the association between ALT levels and LVH, and stratified analyses were performed by gender and age groups. Results: With the increase of ALT quantile level, the detection rate of LVH showed an increasing trend ( Q 1: 3.7%; Q 2: 10.6%; Q 3: 16.7%, Z= 5.89 , P <0.01). After adjusting for potential covariates, compared with the ALT group ( Q 1), the group ( Q 3) increased the risk of developing LVH in adolescents ( OR=2.09, 95%CI =1.21-4.12). Stratified analyses by age and sex showed a significant association only in boys and younger individuals aged 12 to 14 years [ OR (95% CI ) were 2.64(1.04-7.67) and 3.24( 1.35 -9.06), both P <0.05)]. Conclusion Elevated serum ALT levels are associated with an increased risk of LVH in adolescents, and early detection and control of abnormal liver enzyme levels can help reduce early vascular structural damage and prevent adverse cardiovascular events.

BackgroundPostpartum depression can affect the physical and mental health of mothers and the quality of parenting. Most Chinese women perform traditional postpartum practices （commonly known as "doing the month"） after giving birth， while the existing findings are inconsistent and inconclusive regarding the potential of traditional Chinese postpartum practices to alleviate or exacerbate postpartum depression. ObjectiveTo explore the relationship between traditional Chinese postpartum practices and postpartum depression， so as to provide references for reducing the risk of postpartum depression. MethodsA total of 240 consecutive women who gave birth in the obstetrics department of the Mianyang Central Hospital and the Third Hospital of Mianyang from January to May 2024 were selected. Data were collected using Self-designed General Information Questionnaire， Chinese version of the Edinburgh Postnatal Depression Scale （EPDS）， the Social Support Rating Scale （SSRS）， the Patient Health Questionnaire-15 （PHQ-15）， the Adherence to Doing-the-Month Practices questionnaire （ADP）， and the Self-compiled Questionnaire on the Cognition of Doing-the-Month. The absolute value （A value） of the difference between scores of ADP and Cognition of Doing-the-Month Questionnaire was calculated to evaluate the degree of cognitive behavioral conflict of postpartum women. Pearson correlation analysis was performed to examine the correlations of EPDS score with SSRS score， PHQ-15 score， ADP total and dimensional scores， Cognition of Doing-the-Month Questionnaire total and dimensional scores， and A value. Logistic regression analysis was conducted to identify the protective and risk factors for developing postpartum depression. ResultsThe postpartum depression was detected in 22.50% of women. The postpartum women had a EPDS score of （6.21±5.00）， ADP score of （70.05±20.57）， SSRS score of （41.96±6.96）， PHQ-15 score of （4.63±3.77）， and Cognition of Doing-the-Month questionnaire score of （40.30±10.13）. The A value was （0.65±0.58）. Correlation analysis revealed that EPDS score was negatively correlated with the total ADP score and the four dimensional scores of the restrictions on social activities， diet， housework， and personal hygiene （r=-0.228， -0.146， -0.184， -0.275， -0.168， P<0.05 or 0.01）， and positively correlated with the A value （r=0.161， P<0.05）. Logistic regression analysis indicated that restriction on housework dimension in ADP was entered into the model （OR=0.930， 95% CI： 0.885~0.978）. ConclusionThe restriction on housework dimension in traditional Chinese postpartum practices may be a protective factor against postpartum depression.

Abstract Modern western medicine typically focuses on treating specific symptoms or diseases, and traditional Chinese medicine (TCM) emphasizes the interconnections of the body’s various systems under external environment and takes a holistic approach to preventing and treating diseases. Phenomics was initially introduced to the field of TCM in 2008 as a new discipline that studies the laws of integrated and dynamic changes of human clinical phenomes under the scope of the theories and practices of TCM based on phenomics. While TCM Phenomics 1.0 has initially established a clinical phenomic system centered on Zhenghou (a TCM definition of clinical phenome), bottlenecks remain in data standardization, mechanistic interpretation, and precision intervention. Here, we systematically elaborates on the theoretical foundations, technical pathways, and future challenges of integrating digital medicine with TCM phenomics under the framework of “TCM phenomics 2.0”, which is supported by digital medicine technologies such as artificial intelligence, wearable devices, medical digital twins, and multi-omics integration. This framework aims to construct a closed-loop system of “Zhenghou–Phenome–Mechanism–Intervention” and to enable the digitization, standardization, and precision of disease diagnosis and treatment. The integration of digital medicine and TCM phenomics not only promotes the modernization and scientific transformation of TCM theory and practice but also offers new paradigms for precision medicine. In practice, digital tools facilitate multi-source clinical data acquisition and standardization, while AI and big data algorithms help reveal the correlations between clinical Zhenghou phenomes and molecular mechanisms, thereby improving scientific rigor in diagnosis, efficacy evaluation, and personalized intervention. Nevertheless, challenges persist, including data quality and standardization issues, shortage of interdisciplinary talents, and insufficiency of ethical and legal regulations. Future development requires establishing national data-sharing platforms, strengthening international collaboration, fostering interdisciplinary professionals, and improving ethical and legal frameworks. Ultimately, this approach seeks to build a new disease identification and classification system centered on phenomes and to achieve the inheritance, innovation, and modernization of TCM diagnostic and therapeutic patterns.

ObjectiveTo investigate the mechanism of Si Junzitang in treating liver injury in rats with spleen Qi deficiency syndrome based on transcriptomics and to experimentally verify its effects. MethodsSixty male SD rats were randomly divided into blank group， model group， low-dose Si Junzitang （6 g·kg^-1·d^-1）， medium-dose Si Junzitang group （12 g·kg^-1·d^-1）， high-dose Si Junzitang group （24 g·kg^-1·d^-1）， and natural recovery group， with 10 rats in each group. A composite multifactorial modeling method （forced swimming + intragastric administration of Xiao Chengqitang + irregular diet） was used to establish a spleen Qi deficiency model. After 30 days of continuous intervention， body weight and 3-hour food intake were measured， and macroscopic symptom scores for spleen Qi deficiency syndrome were evaluated. Serum levels of aspartate aminotransferase （AST） and alanine aminotransferase （ALT） in each group were detected， and hematoxylin and eosin （HE） staining was used to observe histopathological changes in liver tissue. Transcriptome sequencing （RNA-Seq） was used to identify differentially expressed genes （DEGs） among the blank， model， and high-dose Si Junzitang groups. Gene ontology（GO） and Kyoto encyclopedia of genes and genome（KEGG） enrichment analyses were performed on the DEGs. Immunofluorescence （IF） and Western blot were used to detect NOD-like receptor protein 3 （NLRP3）， apoptosis-associated speck-like protein （ASC）， Caspase-1， and the N-terminal domain of gasdermin D （GSDMD-N）. Immunohistochemistry （IHC） was used to detect the expression of downstream inflammatory cytokines interleukin-1β （IL-1β）， interleukin-6 （IL-6）， and interleukin-18 （IL-18）. ResultsCompared with the blank group， the model group showed significantly reduced body weight and 3-hour food intake， significantly increased macroscopic symptom scores， and elevated serum AST and ALT levels （P<0.01）， with mild inflammatory liver injury observed histologically. Compared with the model group， Si Junzitang at all doses significantly improved these parameters and alleviated liver injury in a dose-dependent manner （P<0.05，P<0.01）. RNA-Seq analysis revealed 1 254 DEGs between the blank and model groups， and 842 DEGs between the model and high-dose Si Junzitang groups. GO and KEGG enrichment analyses indicated that the NOD-like receptor signaling pathway was activated in liver injury associated with spleen Qi deficiency， suggesting that the NLRP3 inflammasome may be a key target. Results from IF， IHC， and Westernblot showed that compared with the blank group， the expression of NLRP3， ASC， Caspase-1， GSDMD-N， and the downstream inflammatory cytokines IL-1β， IL-6， and IL-18 were significantly increased in the model group （P<0.01）， while these levels were markedly decreased in the high-dose Si Junzitang group （P<0.01）. ConclusionSi Junzitang effectively improves mild inflammatory liver injury in rats with spleen Qi deficiency syndrome in a dose-dependent manner. Its mechanism may be associated with inhibition of the NLRP3/ASC/Caspase-1 signaling pathway， downregulation of the pyroptosis executioner protein GSDMD-N， and reduction of pyroptosis-related inflammatory cytokine release.

ObjectiveThis study aims to develop and validate a novel multimodal predictive model， termed criss-cross network（CCNet）-directed graph neural network（DGNN）（CGN）， for accurate assessment of pulmonary nodule progression in high-risk individuals for lung cancer， by integrating longitudinal chest computed tomography（CT） imaging with both traditional Chinese and western clinical evaluation data. MethodsA cohort of 4 432 patients with pulmonary nodules was retrospectively analyzed. A twin CCNet was employed to extract spatiotemporal representations from paired sequential CT scans. Structured clinical assessment and imaging-derived features were encoded via a multilayer perceptron， and a similarity-based alignment strategy was adopted to harmonize multimodal imaging features across temporal dimensions. Subsequently， a DGNN was constructed to integrate heterogeneous features， where nodes represented modality-specific embeddings and edges denoted inter-modal information flow. Finally， model optimization was performed using a joint loss function combining cross-entropy and cosine similarity loss， facilitating robust classification of nodule progression status. ResultsThe proposed CGN model demonstrated superior predictive performance on the held-out test set， achieving an area under the receiver operating characteristic curve（AUC） of 0.830， accuracy of 0.843， sensitivity of 0.657， specificity of 0.712， Cohen's Kappa of 0.417， and F₁ score of 0.544. Compared with unimodal baselines， the CGN model yielded a 36%-48% relative improvement in AUC. Ablation studies revealed a 2%-22% increase in AUC when compared to simplified architectures lacking key components， substantiating the efficacy of the proposed multimodal fusion strategy and modular design. Incorporation of traditional Chinese medicine （TCM）-specific symptomatology led to an additional 5% improvement in AUC， underscoring the complementary value of integrating TCM and western clinical data. Through gradient-weighted activation mapping visualization analysis， it was found that the model's attention predominantly focused on nodule regions and effectively captured dynamic associations between clinical data and imaging-derived features. ConclusionThe CGN model， by synergistically combining cross-attention encoding with directed graph-based feature integration， enables effective alignment and fusion of heterogeneous multimodal data. The incorporation of both TCM and western clinical information facilitates complementary feature enrichment， thereby enhancing predictive accuracy for pulmonary nodule progression. This approach holds significant potential for supporting intelligent risk stratification and personalized surveillance strategies in lung cancer prevention.