ObjectiveTaking classical herbal pair compatibility research as the entry point， this study aimed to deeply investigate the material basis and compatibility rules underlying the antidepressant effects of the traditional Chinese medicine （TCM） formula Zhizi Houpotang， and to elucidate its antidepressant mechanism， with a particular focus on its regulation of neuroinflammatory responses mediated by the NOD-like receptor protein 3 （NLRP3）/gasdermin D （GSDMD） signaling pathway and the consequent improvement of neuronal synaptic plasticity. MethodsC57BL/6J mice were randomly divided into a blank control group， a chronic unpredictable mild stress （CUMS） depression model group， a Zhizi Houpotang full-formula group （6 g·kg^-1·d^-1）， a Magnoliae Officinalis Cortex （MOC）-Aurantii Fructus Immaturus （AFI） herbal pair group （4.2 g·kg^-1·d^-1）， a Gardeniae Fructus （GF）-MOC herbal pair group （4.2 g·kg^-1·d^-1）， a GF-AFI herbal pair group （3.6 g·kg^-1·d^-1）， and a positive drug group （fluoxetine， 12 mg·kg^-1·d^-1）. Depressive-like behaviors in mice were evaluated using behavioral tests. Immunofluorescence staining was used to label and quantify the expression of the microglial marker ionized calcium-binding adaptor molecule 1 （Ibal） and the purinergic receptor P2X ligand-gated ion channel 7 （P2RX7） in the prefrontal cortex （PFC）. Enzyme-linked immunosorbent assay （ELISA） was applied to detect the levels of inflammatory cytokines interleukin-1β （IL-1β） and interleukin-18 （IL-18） in serum and PFC tissues. Western blot was employed to determine the expression of pannexin 1 （Panx1）， P2RX7， NLRP3， apoptosis-associated speck-like protein containing a CARD （ASC）， Caspase-1， GSDMD， postsynaptic density protein 95 （PSD95）， and the presynaptic protein Synapsin 1 in PFC tissues. Golgi staining was used to assess dendritic spine density of neurons in the PFC. ResultsCompared with the blank control group， the depression model group exhibited significant depressive-like behaviors. In addition， the immunofluorescence areas of Ibal and P2RX7 in the PFC were significantly increased （P<0.01）， the levels of IL-1β and IL-18 in serum and the PFC were significantly elevated （P<0.01）， and the protein expression levels of Panx1， P2RX7， NLRP3， ASC， Caspase-1， and GSDMD in the PFC were significantly upregulated （P<0.01）. In contrast， the protein expression levels of PSD95 and Synapsin 1 were significantly downregulated （P<0.01）， and neuronal dendritic spine density was significantly reduced （P<0.01）. Compared with the model group， the Zhizi Houpotang full-formula group and the GF-MOC herbal pair group showed significant improvement in all the above indicators （P<0.01）. The GF-AFI herbal pair group improved all the above indicators except P2RX7， Caspase-1， GSDMD， and PSD95 （P<0.05， P<0.01）. In contrast， the MOC-AFI herbal pair group showed no statistically significant improvement in any of the above indicators compared with the model group. ConclusionZhizi Houpotang and its key herbal pair， GF-MOC， can effectively ameliorate CUMS-induced depressive-like behaviors in mice. Its core antidepressant mechanism may involve inhibition of P2RX7/Panx1 signaling， thereby blocking the NLRP3/GSDMD-mediated pyroptosis pathway and significantly reducing the release of inflammatory cytokines IL-1β and IL-18. Simultaneously， it upregulates the expression of synapse-related proteins PSD95 and Synapsin 1 and increases dendritic spine density， promoting the recovery of synaptic plasticity. These results suggest that GF plays a key role in the antidepressant effects of this formula， and that the compatibility of GF with MOC may represent the principal herbal pair combination responsible for its core therapeutic action.

Objective: To investigate the association between screen time (ST) during leisure time and anxiety-depression symptoms among middle school students, so as to provide a basis for formulating relevant intervention measures. Methods: From November to December 2023, a stratified cluster random sampling method was used to select 2 542 students from junior and senior high school in Taiyuan City. A self designed questionnaire, the Generalized Anxiety Disorder Scale (GAD-7), and the Patient Health Questionnaire (PHQ-9) were used to investigate ST and anxiety/depression symptoms among middle school students. The Logistic regression model was used to explore the association of ST with symptoms of anxiety and depression, as well as with anxiety and depression comorbiditles (CAD). Results: The detection rates of anxiety symptoms, depression symptoms, and CAD were 13.69%, 15.77%, and 10.11%, respectively. The median ST was 2.00 h/d [interquartile range ( IQR =2.38) for weekly averages], with 0.33 h/d ( IQR =1.67) on work days and 5.00 h/d ( IQR=5.50) on rest days. Logistic regression analysis indicated that the total ST of mobile phones during rest days ( OR =1.07, 1.10, 1.11) and the averages ST of mobile phones over a week ( OR = 1.20 , 1.22, 1.29), as well as the total ST of all screen types during rest days ( OR =1.04, 1.04, 1.05) and the averages ST of all screen types over a week ( OR =1.08, 1.09, 1.21) were positively correlated with anxiety symptoms, depression symptoms, and CAD (all P <0.01). Conclusions Among middle school students in Taiyuan City, screen time is positively correlated with symptoms of anxiety or depression and the comorbidity of anxiety and depression, especially smartphone screen time and weekend screen use. Therefore, measures should be implemented to reduce unnecessary screen time among middle school students, especially the use of mobile phones, in order to mitigate the occurrence of anxiety and depression.

In recent years, the ongoing development of transcranial electrical stimulation (TES) and transcranial magnetic stimulation (TMS) has demonstrated significant potential in the treatment and rehabilitation of various brain diseases. In particular, the combined application of TES and TMS has shown considerable clinical value due to their potential synergistic effects. This paper first systematically reviews the mechanisms underlying TES and TMS, highlighting their respective advantages and limitations. Subsequently, the potential mechanisms of transcranial electromagnetic combined stimulation are explored, with a particular focus on three combined stimulation protocols: Repetitive TMS (rTMS) with transcranial direct current stimulation (tDCS), rTMS with transcranial alternating current stimulation (tACS), and theta burst TMS (TBS) with tACS, as well as their clinical applications in brain diseases. Finally, the paper analyzes the key challenges in transcranial electromagnetic combined stimulation research and outlines its future development directions. The aim of this paper is to provide a reference for the optimization and application of transcranial electromagnetic combined stimulation schemes in the treatment and rehabilitation of brain diseases.
Humans ; Transcranial Magnetic Stimulation/methods* ; Transcranial Direct Current Stimulation/methods* ; Brain Diseases/therapy*

Traditional Chinese medicine (TCM) demonstrates distinctive advantages in disease prevention and treatment. However, analyzing its biological mechanisms through the modern medical research paradigm of "single drug, single target" presents significant challenges due to its holistic approach. Network pharmacology and its core theory of network targets connect drugs and diseases from a holistic and systematic perspective based on biological networks, overcoming the limitations of reductionist research models and showing considerable value in TCM research. Recent integration of network target computational and experimental methods with artificial intelligence (AI) and multi-modal multi-omics technologies has substantially enhanced network pharmacology methodology. The advancement in computational and experimental techniques provides complementary support for network target theory in decoding TCM principles. This review, centered on network targets, examines the progress of network target methods combined with AI in predicting disease molecular mechanisms and drug-target relationships, alongside the application of multi-modal multi-omics technologies in analyzing TCM formulae, syndromes, and toxicity. Looking forward, network target theory is expected to incorporate emerging technologies while developing novel approaches aligned with its unique characteristics, potentially leading to significant breakthroughs in TCM research and advancing scientific understanding and innovation in TCM.
Artificial Intelligence ; Medicine, Chinese Traditional ; Humans ; Network Pharmacology/methods* ; Drugs, Chinese Herbal/pharmacology* ; Animals ; Multiomics

Drug development remains a critical issue in the field of biomedicine. With the rapid advancement of information technologies such as artificial intelligence (AI) and the advent of the big data era, AI-assisted drug development has become a new trend, particularly in predicting drug-target associations. To address the challenge of drug-target prediction, AI-driven models have emerged as powerful tools, offering innovative solutions by effectively extracting features from complex biological data, accurately modeling molecular interactions, and precisely predicting potential drug-target outcomes. Traditional machine learning (ML), network-based, and advanced deep learning architectures such as convolutional neural networks (CNNs), graph convolutional networks (GCNs), and transformers play a pivotal role. This review systematically compiles and evaluates AI algorithms for drug- and drug combination-target predictions, highlighting their theoretical frameworks, strengths, and limitations. CNNs effectively identify spatial patterns and molecular features critical for drug-target interactions. GCNs provide deep insights into molecular interactions via relational data, whereas transformers increase prediction accuracy by capturing complex dependencies within biological sequences. Network-based models offer a systematic perspective by integrating diverse data sources, and traditional ML efficiently handles large datasets to improve overall predictive accuracy. Collectively, these AI-driven methods are transforming drug-target predictions and advancing the development of personalized therapy. This review summarizes the application of AI in drug development, particularly in drug-target prediction, and offers recommendations on models and algorithms for researchers engaged in biomedical research. It also provides typical cases to better illustrate how AI can further accelerate development in the fields of biomedicine and drug discovery.

BACKGROUND:Exosomes play a role in all stages of wound repair,and there is currently a large body of research on exosomes in skin wound repair,which has been shown to have great potential for clinical applications. OBJECTIVE:To summarize and discuss the main mechanisms and clinical applications of exosomes in the treatment of skin wounds,in order to promote the clinical translation of exosomes. METHODS:PubMed,clinicaltrials.gov,China National Knowledge Infrastructure,Food and Drug Administration database,and Chinese Clinical Trial Register were searched from inception to March 2023.The English search terms were"exosomes,wound healing,stem cells,chronic wound,immunoregulation,inflammation,skin,therapeutic use,isolation,characterization,infections".The Chinese search terms were"exosomes,wound healing,stem cells,immunomodulation,clinical applications".A total of 79 articles were included for the summary. RESULTS AND CONCLUSION:(1)Exosomes can improve and accelerate wound healing through inflammation regulation,immune protection,angiogenesis,cell proliferation and migration,and collagen remodeling.(2)Exosomes derived from stem cells have mature preparation techniques and related mechanism research,which is currently the mainstream research direction.Non-stem cell-derived exosomes have the advantages of convenience,economy,and easy production,and can be used as a supplement for clinical applications.(3)The clinical application of exosomes is still in its infancy,but has great potential for application.Various exosome modification techniques have laid the foundation for the future development of clinically personalized services and require further research.(4)The clinical translation of exosomes faces many challenges,such as low yield,high heterogeneity,lack of unified standards for isolation,purification,and quality control,and difficulties in storage.

Objective: To investigate the willingness to accept preventive treatments and its related factors among college freshmen with latent tuberculosis infection (LTBI), so as to provide the evidence for preventive treatment intervention measures for students with LTBI. Methods: Cluster sampling method was used to select 368 LTBI freshmen from 8 colleges and universities in Changzhou in September 2023, who conducted a questionnaire survey on the willingness to receive preventive treatment. General demographic data were collected and relevant data were collected using tuberculosis knowledge scale, General Anxiety Disorder-7 (GAD-7), Patient Health Questionnaire-9 (PHQ-9), Adaptation, Partnership, Growth, Affection and Resolve (APGAR), and a self developed Stigma Scale. A binary Logistic regression model was constructed with the willingness to accept preventive treatment as the dependent variable to analyze the willingness to accept preventive treatment and the influencing factors. Results: A total of 253 LTBI college freshmen were willing to take preventive treatment, the acceptance rate was 68.75%. The rate of willingness to accept preventive treatment for LTBI was higher among students whose fathers had an education level of high school, compared to those whose fathers had an education level of junior high school or below ( OR =2.16, P <0.05). LTBI students whose per capita family income was >5 000-10 000 yuan and >10 000 yuan were more willing to accept LTBI preventive treatment than those whose per capita family income was <3 000 yuan ( OR =2.72, 4.46, P <0.05). LTBI students who engaged in physical exercise for more than 2 hours per week were more willing to accept than those who exercised less than 0.5 hours per week ( OR =1.91, P <0.05). LTBI students with high levels of tuberculosis knowledge and stigma were more likely to receive preventive treatment ( OR =1.18, 1.11, P < 0.05). LTBI students with high PHQ-9 ( OR =0.85) and GAD-7 ( OR =0.92) scores were more likely to refuse preventive treatment ( P <0.05). Conclusion The present study revealed a moderate level of willingness of LTBI students to preventive treatment in Changzhou City, and the acceptance is affected by family factors, healthy lifestyles, tuberculosis knowledge and psychological status.

Objective:To investigate serum vitamin A and vitamin D status in children aged 2-<7 years in 20 cities in China.Methods:A cross-sectional study was conducted. A total of 2 924 healthy children aged 2-<7 years were recruited from September 2018 to September 2019 from 20 cities in China, categorized by age groups of 2-<3 years, 3-<5 years, and 5-<7 years. The demographic and economic characteristics and health-related information of the enrolled children were investigated. Body weight and height were measured by professional staff members. The serum vitamin A and vitamin D levels were detected by high-performance liquid chromatography-tandem mass spectrometry. Chi-square test and Logistic regression were applied to analyze the association between vitamin A and vitamin D deficiency and insufficiency as well as their underlying impact factors.Results:The age of the 2 924 enrolled children was 4.33 (3.42, 5.17) years. There were 1 726 males (59.03%) and 1 198 females (40.97%). The prevalences of vitamin A and vitamin D deficiency in enrolled children were 2.19% (64/2 924) and 3.52% (103/2 924), respectively, and the insufficiency rates were 29.27% (856/2 924) and 22.20% (649/2 924), respectively. Children with both vitamin A and vitamin D deficiencies or insufficiencies were found in 10.50% (307/2 924) of cases. Both vitamin A ( χ2=7.91 and 8.06, both P=0.005) and vitamin D ( χ2=71.35 and 115.10, both P<0.001) insufficiency rates were higher in children aged 3-<5 and 5-<7 years than those in children aged 2-<3 years. Vitamin A and vitamin D supplementation in the last 3 months was a protective factor for vitamin A and D deficiency and insufficiency, respectively ( OR=0.68 and 0.22, 95% CI 0.49-0.95 and 0.13-0.40, both P<0.05). The rates of vitamin A and D insufficiency was higher in children with annual household incomes <60 000 RMB than in those with annual household incomes ≥60 000 RMB ( χ2=34.11 and 10.43, both P<0.01). Northwest and Southwest had the highest rates of vitamin A and vitamin D insufficiency in children aged 2-<7 yeas, respectively ( χ2=93.22 and 202.54, both P<0.001). Conclusions:Among 20 cities in China, children aged 2-<7 years experience high rates of vitamin A and vitamin D insufficiency, which are affected by age, family economic level, vitamin A and vitamin D supplementation, and regional economic level. The current results suggest that high level of attention should be paid to vitamin A and vitamin D nutritional status of preschool children.

Objective:To explore the efficacy and safety of ibrutinib for the treatment of newly treated and relapsed refractory (R/R) lymphoplasmacytic lymphoma (LPL) /Waldenstr?m macroglobulinemia (WM) .Methods:Retrospectively collected clinical data of 98 cases of newly treated and R/R LPL/WM patients who received ibrutinib treatment at the Hematology & Blood Diseases Hospital of the Chinese Academy of Medical Sciences from March 2016 to June 2023, and analyzed their efficacy and safety.Results:A total of 98 LPL/WM patients were included, which consisted of 45 newly treated patients and 53 R/R patients. Of these, 74 were males (75.5%) and the cohort had a median age of 64 (42-87) years. Eighty-eight patients were eligible for efficacy evaluation with a median treatment time of 20.8 (2.1-55.0) months, a major remission rate (MRR) of 78.4%, and an overall response rate (ORR) of 85.2%. The MRR and ORR of the newly treated patients were 78.4% and 86.5%, respectively, whereas the MRR and ORR of the R/R patients were 78.4% and 84.3%, respectively. There were no statistically significant differences in MRR and ORR between the initial treatment and R/R patients (all P values >0.05) . The median follow-up period was 29.1 (2.9-50.3) months and the median overall survival time for newly treated and R/R patients was not reached. The median progression-free survival time was 23.5 (95% CI 10.5-36.5) months and 45.0 (95% CI 34.0-56.0) months, respectively, with no statistically significant differences (all P values >0.05) . There were 25 deceased patients and no deaths were related to ibrutinib treatment. The main adverse reactions of ibrutinib were thrombocytopenia (5.1%) , pneumonia (8.1%) , and hyperuricemia (21.4%) . The incidence of atrial fibrillation was 2.0%. Conclusion:Ibrutinib exhibits good efficacy and safety for newly treated and R/R LPL/WM patients.

Humans ; Alzheimer Disease ; Cross-Sectional Studies ; Creatine Kinase ; Brain/metabolism*