OBJECTIVE To study the pharmacokinetic characteristics of antidepressant active components from Jiaotai pills in healthy subjects. METHODS Eight healthy subjects （3 males and 5 females） were recruited and given a single oral dose of 8.55 g of Jiaotai pills. Venous blood samples were collected before administration （0 h） and at intervals from 0.25 to 36.0 hours post- administration. After treating the plasma samples with protein precipitation， the blood concentrations of the antidepressant active ingredients （coptisine， berberine， magnoflorine， and palmatine） in Jiaotai pills were determined using liquid chromatography- tandem mass spectrometry （LC-MS/MS） method. DAS 2.0 software was employed to calculate the pharmacokinetic parameters of healthy subjects [half-life （t1/2）， peak concentration （cmax）， time to peak concentration （tmax）， area under the concentration-time curve （AUC）， and mean residence time （MRT）] using a non-compartmental model. RESULTS After healthy subjects took Jiaotai pills， the drug-time curve of the four antidepressant active ingredients conforms to a two-compartment model and tmax values were similar， with all reaching peak blood concentrations within 2.00 to 4.00 hours post-administration. However， the t1/2 and MRT of coptisine and berberine were significantly longer than that of magnoflorine and palmatine. There were also significant differences in the AUC and cmax among the four antidepressant active ingredients， with magnoflorine exhibiting markedly higher AUC0-t and cmax compared to the other three components. CONCLUSIONS In this study，LC-MS/MS is used to analyze the pharmacokinetic characteristics of the antidepressant active ingredients from Jiaotai pills in healthy subjects， can provide valuable references for the clinical application of Jiaotai pills.

Bronchial asthma （abbreviated as asthma） is one of the common inflammatory diseases in the chronic airway of the respiratory system. Recurrent wheezing，shortness of breath，chest tightness， and cough are the main symptoms，which are easy to repeat，protracted and difficult to cure，and seriously affect the patients' life quality. The Janus kinases （JAK）/signal transducers and activators of transcription （STAT） signaling pathway is involved in the regulation of cellular inflammatory response，oxidative stress，apoptosis， and other biological processes. It plays a key role in the occurrence and development of asthma. Traditional Chinese medicine intervenes in asthma based on the JAK/STAT signaling pathway in multiple stages and targets. The specific mechanism is related to inhibiting airway inflammation and anti-oxidative stress，alleviating airway remodeling，affecting airway mucus hypersecretion，inhibiting high airway response， and regulating immune response，which demonstrates the characteristics and advantages of traditional Chinese medicine in treating asthma. Based on this，by referring to relevant literature，this paper systematically sorted out the JAK/STAT signaling pathway and its action mechanism in the occurrence and development of asthma. It also systematically summarized the efficacy and specific mechanism of monomers， compounds， and compound formulas of traditional Chinese medicine， as well as the external treatment methods by regulating the JAK/STAT signaling pathway to intervene in asthma. It aims to effectively prevent and control the occurrence and development of asthma in clinic， providing a reference for the methods of prevention and treatment of asthma with traditional Chinese medicine.

As traditional Chinese medicine （TCM） culture evolves， the academic thoughts of these practitioners， being a core component of TCM inheritance， are gradually shifting from traditional models to digital and intelligent approaches. However， this process faces challenges， including insufficient standardization of data collection and processing， low inheritance efficiency， and the risk of inheritance alienation. To address these issues， this paper proposed the construction of an intelligent platform following the "intelligence-transmission-modeling-linkage" path. "Intelligence" involves using smart perception technologies to accurately collect and classify diagnostic and therapeutic information from famous TCM practitioners， laying the foundation for digital inheritance； "transmission" focuses on leveraging artificial intelligence to mine and inherit the clinical experience of famous TCM practitioners， thereby establishing a "regional academic schools+group commonality" dynamic inheritance system； "modeling" integrates the academic thoughts and advantageous diseases of multiple schools to develop intelligent diagnostic and therapeutic models of famous TCM practitioners， resulting in personalized treatment plans； "linkage" involves constructing a clinical decision support system of famous TCM practitioners by integrating blockchain and generative intelligence， creating an AI digital avatar of TCM diagnostic and therapeutic knowledge. The "intelligence-transmission-modeling-linkage" intelligent inheritance model not only provides new ideas for the digital inheritance of TCM academic schools， but also offers strong support for the modernization and internationalization of TCM.

Objective To investigate the public health issues associated with the follow-up outcomes of mental health in elderly community residents with a focus on mild cognitive impairment （MCI） and emotional problems （anxiety and depression）， as the burden of various diseases increases with global population growth and aging. Methods In this study， Patient Health Questionnaire-9， Early Dementia Screening Scale， Montreal Cognitive Assessment， Generalized Anxiety Disorder Scale， Geriatric Depression Scale， and Activities of Daily Living scale were used to analyze the data on MCI and emotional problems among the elderly in a district of Shanghai， China. The t-test， Spearman correlation analysis， and linear regression analysis were used to identify related protective factors and evaluate the effectiveness of comprehensive intervention measures. Results The first session of intervention led to an improvement in cognitive impairment （P<0.001）. During the first session of intervention， exercise and skill training were very effective in improving cognitive impairment （r=0.71 and 0.68， P<0.001）， while group instruction and the distribution of educational materials failed to achieve an ideal effectiveness. The second session of intervention also had a significant effect on cognitive impairment （P<0.05）； however， the second session of intervention lacked a significant overall effect， and skill training remained the most effective intervention method （Pr=0.0344， P<0.05）. The research findings showed that the two sessions of community intervention were protective factors against MCI and depression， while they could not alleviate anxiety. Conclusion This study validates the effectiveness of follow-up intervention measures in improving cognitive function in elderly patients with MCI， which provide scientific prediction and reference for early screening， prediction， and follow-up intervention of elderly dementia and MCI at the community level.

This study aims to explore the mechanism of Jiaotai Pills in treating depression based on metabolomics and network pharmacology. The chemical constituents of Jiaotai Pills were identified by UHPLC-Orbitrap Exploris 480, and the targets of Jiaotai Pills and depression were retrieved from online databases. STRING and Cytoscape 3.7.2 were used to construct the protein-protein interaction network of core targets of Jiaotai Pills in treating depression and the "compound-target-pathway" network. DAVID was used for Gene Ontology(GO) function and Kyoto Encyclopedia of Genes and Genomes(KEGG) pathway enrichment analyses of the core targets. The mouse model of depression was established with chronic unpredictable mild stress(CUMS) and treated with different doses of Jiaotai Pills. The behavioral changes and pathological changes in the hippocampus were observed. UHPLC-Orbitrap Exploris 120 was used for metabolic profiling of the serum, from which the differential metabolites and related metabolic pathways were screened. A "metabolite-reaction-enzyme-gene" network was constructed for the integrated analysis of metabolomics and network pharmacology. A total of 34 chemical components of Jiaotai Pills were identified, and 143 core targets of Jiaotai Pills in treating depression were predicted, which were mainly involved in the arginine and proline, sphingolipid, and neurotrophin metabolism signaling pathways. The results of animal experiments showed that Jiaotai Pills alleviated the depression behaviors and pathological changes in the hippocampus of the mouse model of CUMS-induced depression. In addition, Jiaotai Pills reversed the levels of 32 metabolites involved in various pathways such as arginine and proline metabolism, sphingolipid metabolism, and porphyrin metabolism in the serum of model mice. The integrated analysis showed that arginine and proline metabolism, cysteine and methionine metabolism, and porphyrin metabolism might be the key pathways in the treatment of depression with Jiaotai Pills. In conclusion, metabolomics combined with network pharmacology clarifies the antidepressant mechanism of Jiaotai Pills, which may provide a basis for the clinical application of Jiaotai Pills in treating depression.
Animals ; Drugs, Chinese Herbal/chemistry* ; Depression/genetics* ; Mice ; Network Pharmacology ; Metabolomics ; Male ; Disease Models, Animal ; Humans ; Protein Interaction Maps/drug effects* ; Antidepressive Agents

Based on the α7 nicotinic acetylcholine receptor(α7nAChR), this study examined how tetrahydropalmatine(THP) affected BV2 microglia exposed to lipopolysaccharide(LPS), aiming to clarify the possible mechanism underlying the anti-depression effect of THP from the perspectives of preventing inflammation and regulating polarization. First, after molecular docking and determination of the content of Corydalis saxicola Bunting total alkaloids, THP was initially identified as a possible anti-depression component. The BV2 microglia model of inflammation was established with LPS. BV2 microglia were allocated into a normal group, a model group, low-and high-dose(20 and 40 μmol·L~(-1), respectively) THP groups, and a THP(20 μmol·L~(-1))+α7nAChR-specific antagonist MLA(1 μmol·L~(-1)) group. The CCK-8 assay was used to screen the safe concentration of THP. A light microscope was used to examine the morphology of the cells. Western blot and immunofluorescence were used to determine the expression of α7nAChR. qRT-PCR was performed to determine the mRNA levels of inducible nitric oxide synthase(iNOS), cluster of differentiation 86(CD86), suppressor of cytokine signaling 3(SOCS3), arginase-1(Arg-1), cluster of differentiation 206(CD206), tumor necrosis factor(TNF)-α, interleukin(IL)-6, and IL-1β. Enzyme-linked immunosorbent assay(ELISA) was employed to measure the levels of TNF-α, IL-6, and IL-1β in the cell supernatant. The experimental results showed that THP at concentrations of 40 μmol·L~(-1) and below had no effect on BV2 microglia. THP improved the morphology of BV2 microglia, significantly up-regulated the protein level of α7nAChR, significantly down-regulated the mRNA levels of iNOS, CD86, SOCS3, TNF-α, IL-6, and IL-1β, significantly up-regulated the mRNA levels of Arg-1 and CD206, and dramatically lowered the levels of TNF-α, IL-6, and IL-1β in the cell supernatant. However, the antagonist MLA abolished the above-mentioned ameliorative effects of THP on LPS-treated BV2 microglia. As demonstrated by the aforementioned findings, THP protected LPS-treated BV2 microglia by regulating the M1/M2 polarization and preventing inflammation, which might be connected to the regulation of α7nAChR on BV2 microglia.
Berberine Alkaloids/chemistry* ; alpha7 Nicotinic Acetylcholine Receptor/chemistry* ; Microglia/metabolism* ; Mice ; Animals ; Cell Line ; Corydalis/chemistry* ; Humans ; Molecular Docking Simulation ; Inflammation/drug therapy* ; Nitric Oxide Synthase Type II/immunology* ; Tumor Necrosis Factor-alpha/immunology*

The effective implementation of clinical practice guideline(CPG), as a crucial vehicle of evidence-based medicine, plays a vital role in improving healthcare quality and patient safety. Currently, there remains a significant gap between the actual implementation outcomes of traditional Chinese medicine(TCM) guidelines and their intended objectives, which necessitates a systematic investigation into their influencing factors to optimize implementation strategies. This study aims to comprehensively identify the factors influencing CPG implementation in China, adapt the theoretical domains framework(TDF) to the local context, and integrate TCM-specific characteristics to provide recommendations for optimizing the development and implementation processes of TCM guidelines. Systematic search was conducted across multiple databases, including CNKI, Wanfang, VIP, SinoMed, PubMed, and EMbase, covering the period from each database's inception to March 2024. Qualitative and mixed-methods studies were included to examine factors affecting the implementation of clinical practice guidelines. The methodological quality of the included studies was assessed using the critical appraisal skills programme(CASP) tool. RESULTS:: were synthesized through framework analysis and thematic synthesis, and expert consensus was achieved via a structured consensus meeting. A total of 16 studies involving 2 388 participants were included with overall good methodological quality. Based on the TDF, 43 influencing factors across 14 domains were identified. The most critical factors included the quality of guideline evidence, training and academic conferences organized by hospitals and academic institutions to promote guideline adoption among medical staff, support from professional leaders for guideline implementation, the applicability and clarity of guideline recommendations, and material resources(supplies, funding, and facilities) required for implementation. Additionally, influencing factors of TCM guideline implementation were identified, including the distinctive advantages of TCM therapies, the applicability of syndrome differentiation, and the feasibility of TCM treatments. Based on these findings, it is recommended that TCM guideline development should incorporate these unique influencing factors to formulate high-quality, clear, and actionable recommendations. Following guideline publication, healthcare and academic institutions should strengthen training and dissemination efforts and ensure the availability of necessary implementation resources to facilitate the successful adoption of guidelines in clinical practice.
China ; Humans ; Practice Guidelines as Topic ; Medicine, Chinese Traditional/standards* ; Evidence-Based Medicine

In this study, serum metabolomics techniques and molecular biology methods were used to investigate the intervention effect of kaji-ichigoside F1 on chronic unpredictable mild stress(CUMS) depression mouse model and its mechanism. The CUMS depression mouse model was constructed, and the mice were divided into blank group, model group, escitalopram(ESC, 10 mg·kg~(-1)) group, and low-dose, medium-dose, and high-dose kaji-ichigoside F1 groups(1, 2, and 4 mg·kg~(-1)). CUMS modeling was performed on all mice except the blank group, and the cycle was four weeks. At the end of modelling, ESC and kaji-ichigoside F1 were administered by gavage once a day for 28 days. After the end of the administration, behavioral testing(sucrose preference test, open field test, forced swimming test, and tail suspension test) was conducted to evaluate the improvement of depression symptoms of different doses of kaji-ichigoside F1 on CUMS depression mouse model. The morphology of neurons and the number of Nissl bodies in the hippocampus were observed by Nissl staining. Metabolomics technique was used to analyze the changes in serum differential metabolites in mice. Protein expression levels of P2X7 purinergic receptor(P2X7R), adenosine A1 receptor(A1R), and adenosine receptor A2A(A2AR) in mouse hippocampus were detected by Western blot. The results showed that compared with that in the blank group, the body weight of mice in the model group was significantly decreased, and the sucrose preference rate was significantly decreased. The immobility time was significantly increased in the forced swimming and tail suspension tests, and the total moving distance was significantly decreased in the open field test. The number of Nissl bodies was significantly decreased, and the depression-like behavior and the number of Nissl bodies in the hippocampus of mice were significantly improved after administration of kaji-ichigoside F1. In the metabonomics analysis, the purine metabolism of serum after kaji-ichigoside F1 administration was involved in the metabolic passage of depression, and Western blot analysis verified the expression of P2X7R, A1R, and A2AR proteins in purine metabolic pathways. The results show that kaji-ichigoside F1 significantly decreases the expression of P2X7R and A2AR proteins in the hippocampus of CUMS model mice and increases the expression level of A1R proteins. It is suggested that kaji-ichigoside F1 may play an antidepressant role by regulating the expression of P2X7R, A1R, and A2AR proteins in the purine metabolism pathway.
Animals ; Mice ; Antidepressive Agents/administration & dosage* ; Metabolomics ; Depression/genetics* ; Male ; Drugs, Chinese Herbal/administration & dosage* ; Disease Models, Animal ; Hippocampus/metabolism* ; Behavior, Animal/drug effects* ; Humans

The transcription factor HOXB13 plays crucial roles in cancer development. HOXB13 is abnormally expressed in most cancers, which makes it a valuable therapeutic target for cancer therapy. The level of HOXB13 differs significantly between healthy and cancer tissues, which indicates that the level of HOXB13 is closely related to carcinogenesis. The regulatory network mediated by HOXB13 in cancer proliferation, metastasis, and invasion has been systematically investigated. Moreover, HOXB13 variants play distinct roles in different cancers and populations. By understanding the molecular mechanisms and mutation features of HOXB13, we provide a comprehensive overview of carcinogenesis networks dependent on HOXB13. Finally, we discuss advancements in anticancer therapy targeting HOXB13 and the roles of HOXB13 in drug resistance to molecular-targeted therapies, which serves as a foundation for developing HOXB13-targeted drugs for clinical diagnosis and cancer therapies.
Humans ; Neoplasms/metabolism* ; Homeodomain Proteins/metabolism* ; Carcinogenesis/genetics* ; Mutation ; Gene Expression Regulation, Neoplastic ; Molecular Targeted Therapy ; Drug Resistance, Neoplasm/genetics*

Background: Delivering a poor prognosis to patients and their families is critically challenging in pediatric populations. The application of palliative care (PC) provides a bridge between accepting the occurrence of mortality and offering lifelong support.However, little is known about the specifics of PC. This study aims to explore the unmet need for PC in pediatric populations. Methods: We retrospectively reviewed the medical records of mortality cases in the Department of Pediatric Hematology and Oncology at Chang Gung Memorial Hospital. Statistical tests, including Chi-square and Student’s t-tests, were applied to determine the differences between early and late intervention groups in terms of the timing of PC introduction. Results: During the study period, 41 patients were included. Their median age was 11.8 years (IQR, 7.6-15.9). The majority of the disease statuses were refractory or relapsing (R/R). The incidence of memento application was significantly higher in the early intervention group (47.6% vs. 10%, P=0.0081). Vital signs variations tended to be end-of-life (EoL) indicators in this study. Conclusion The early introduction of PC encourages families to accompany their beloved child. EoL signs in the pediatric population include vital sign variations. With the presence of relevant EoL signs, clinical physicians can apply PC earlier to meet the needs.