ObjectiveTo investigate the efficacy and safety of Babaodan Capsule （BBD） in the treatment of patients with chronic hepatitis B virus （HBV） infection with damp-heat in the liver and gallbladder comorbid with gallbladder polyps. MethodsA randomized， double-blinded， placebo-controlled single-center trial was conducted among 120 patients with chronic HBV infection who were admitted to Beijing YouAn Hospital， Capital Medical University， from August 2020 to April 2023， and they were divided into treatment group （BBD） and control group （placebo）， with 60 patients in each group. The course of treatment was 24 weeks， and follow-up assessments were conducted every 4 weeks. The primary outcome measures were the number and maximum diameter of gallbladder polyps （assessed by ultrasound）， and the secondary outcome measures included traditional Chinese medicine （TCM） syndrome score， blood lipid levels， and liver function parameters. The independent-samples t test or the Wilcoxon rank-sum test was used for comparison of continuous data between two groups， and the chi-square test or the Fisher’s exact test was used for comparison of categorical data between two groups； the Wilcoxon rank-sum test was used for comparison of ranked data between two groups； the generalized estimating equation was used to analyze repeated measures data. ResultsAfter 8 weeks of treatment， the treatment group had a significantly smaller diameter of polyps and a significantly lower number of polyps than the control group （Z=-1.76 and -1.80， both P<0.05）， and after 24 weeks of treatment， the treatment group had a significantly higher polyp reduction rate than the control group （30.51% vs 10.91%， P<0.05）. The subgroup analysis showed that patients receiving combined antiviral therapy， male patients， patients with a diameter of polyps of <5 mm， and patients with multiple polyps tended to achieve significantly greater benefits. At week 8 of treatment， the treatment group had a significantly better TCM syndrome score than the control group （Z=-2.35， P<0.05）； after treatment， compared with the control group， the treatment group had a significantly greater increase in high-density lipoprotein （Z=-1.85， P<0.05） and significantly lower levels of alanine aminotransferase （Z=-2.06， P <0.05）， aspartate aminotransferase （Z=-2.13， P<0.05）， total bilirubin （Z=-2.12， P<0.05）， and direct bilirubin （Z=-3.09， P<0.05）. No serious adverse events were reported in either group. ConclusionBBD can effectively reduce the size of gallbladder polyps， improve TCM syndrome score， and reduce the level of bilirubin in patients with chronic HBV infection with damp-heat in the liver and gallbladder， with a favorable safety profile， and it may be more suitable for patients receiving combined antiviral therapy and specific subgroups （male patients， patients with a diameter of polyps of <5 mm， and patients with multiple polyps.

OBJECTIVE To explore an intelligent shelf management scheme aimed at enhancing the effective utilization rate of shelves and reducing the risk of dispensing errors for easily confused medicine， thereby facilitating the upgrade of intelligent shelf management in inpatient pharmacies. METHODS An intelligent positioning software based on the “five-level positioning” concept was designed using informational technology. Human-machine collaboration mode was adopted to optimize the shelf management process by integrating priority information， including pharmacological action， drug dosage， packaging color， injection drug type， and label style. Then， the effectiveness of the intelligent positioning software was evaluated comprehensively from multiple aspects such as shelf location arrangement effect， internal dispensing error rate and work experience. RESULTS Compared with the application of intelligent shelf management scheme （April-May， 2025）， the proportion of injectable drugs on the middle layer increased from 59.9% to 78.2% after the application of scheme （June-July， 2025）； the average internal dispensing error rate dropped from 0.098% to 0.049%. Intelligent positioning software ensured precise warehousing positioning， simplified management， reduced dispensing errors and achieved a good experience for pharmacists. In addition， the “intelligent positioning software for pharmaceutical shelf management”， developed based on the “five-level positioning” concept， had been granted one national computer software copyright. CONCLUSIONS In summary， the intelligent positioning software fully considers the actual work needs such as shelf capacity， drug dosage and distance between similar drugs. It can provide accurate prediction of pharmaceutical shelf and optimization scheme， basically achieving dual optimization of low error rate and high dispensing efficiency.

The brain-gut interaction theory is a multidimensional integrative concept based on the brain-gut axis， involving neural， endocrine， and immune regulatory networks as well as the gut microbiota. Zang-fu organs （脏腑） theory in traditional Chinese medicine （TCM） shows a high degree of consistency with the brain-gut interaction theory， and the core functions such as the spleen and stomach governing the ascending of the clear and descending of the turbid， the liver governing the free flow of qi， and the heart governing mental and emotional activities are closely associated with the multi-level regulatory mechanisms of the brain-gut axis. TCM therapy can modulate brain-gut interactions through multiple pathways in the treatment of spleen and stomach diseases， including the regulation of gastrointestinal hormone secretion， neurotransmitter levels， the hypothalamic-pituitary-adrenal （HPA） axis， immune homeostasis and inflammatory responses， as well as the gut microecology. However， current basic research on the brain-gut interaction theory in TCM for spleen and stomach diseases still faces several challenges， such as difficulties in integrating TCM spleen-stomach theory with modern pathophysiology， lack of innovation in research concepts， and limitations in research methodologies. It is therefore proposed that multidisciplinary collaboration， multi-omics technologies， and targeted research approaches should be adopted to provide more comprehensive methods for basic research on TCM spleen and stomach diseases， thereby promoting the in-depth development of brain-gut interaction theory.

Aromatic inhalation therapy is a key traditional Chinese medicine （TCM） approach for preventing respiratory infectious diseases. Its foundational theory， "aromatics acting on the spleen"， is deeply rooted in TCM principles and supported by modern medical research. The theory posits that the aromatic properties of medicinals primarily act on the spleen， and the aromatic inhalation therapy achieved its protective effects by modulation of the spleen and spleen channel to enhance the regulation of wei qi， striae and interstices. In TCM， the spleen is considered the mother of the lungs， with the function of nurturing lung； it is also seen as the source of wei qi， responsible for external defense； and the root of healthy qi， forming the foundation of acquired （postnatal） constitution. Thus， preventive strategies for respiratory infectious diseases focus on strengthening the spleen. From a modern medical perspective， the spleen's role in regulating lung immune responses， the shared immune functions of the respiratory and gastrointestinal mucosa， and the spleen's overall immune modulation provide scientific evidence for using aromatic inhalation therapy to prevent respiratory infections. Additionally， aromatic inhalation therapy offers several advantages， including direct action， rapid onset， minimal side effects， controllable risks， convenience， and ease of dissemination， making it a practical and effective preventive measure for respiratory infectious diseases.

ObjectiveTo investigate the mechanism of action of Kaixinsan in the treatment of Alzheimer's disease （AD） based on network pharmacology， molecular docking， and animal experimental validation. MethodsThe Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform（TCMSP） and the Encyclopedia of Traditional Chinese Medicine（ETCM） databases were used to obtain the active ingredients and targets of Kaixinsan. GeneCards， Online Mendelian Inheritance in Man（OMIM）， TTD， PharmGKB， and DrugBank databases were used to obtain the relevant targets of AD. The intersection （common targets） of the active ingredient targets of Kaixinsan and the relevant targets of AD was taken， and the network interaction analysis of the common targets was carried out in the STRING database to construct a protein-protein interaction（PPI） network. The CytoNCA plugin within Cytoscape was used to screen out the core targets， and the Metascape platform was used to perform gene ontology（GO） functional enrichment analysis and Kyoto encyclopedia of genes and genomes（KEGG） pathway enrichment analysis. The “drug-active ingredient-target” interaction network was constructed with the help of Cytoscape 3.8.2， and AutoDock Vina was used for molecular docking. Scopolamine （SCOP） was utilized for modeling and injected intraperitoneally once daily. Thirty-two male C57/BL6 mice were randomly divided into blank control （CON） group （0.9% NaCl， n=8）， model （SCOP） group （3 mg·kg^-1·d^-1， n=8）， positive control group （3 mg·kg^-1·d^-1 of SCOP+3 mg·kg^-1·d^-1 of Donepezil， n=8）， and Kaixinsan group （3 mg·kg^-1·d^-1 of SCOP+6.5 g·kg^-1·d^-1 of Kaixinsan， n=8）. Mice in each group were administered with 0.9% NaCl， Kaixinsan， or Donepezil by gavage twice a day for 14 days. Morris water maze experiment was used to observe the learning memory ability of mice. Hematoxylin-eosin （HE） staining method was used to observe the pathological changes in the CA1 area of the mouse hippocampus. Enzyme linked immunosorbent assay（ELISA） was used to determine the serum acetylcholine （ACh） and acetylcholinesterase （AChE） contents of mice. Western blot method was used to detect the protein expression levels of signal transducer and activator of transcription 3（STAT3） and nuclear transcription factor（NF）-κB p65 in the hippocampus of mice. ResultsA total of 73 active ingredients of Kaixinsan were obtained， and 578 potential targets （common targets） of Kaixinsan for the treatment of AD were screened out. Key active ingredients included kaempferol， gijugliflozin， etc.. Potential core targets were STAT3， NF-κB p65， et al. GO functional enrichment analysis obtained 3 124 biological functions， 254 cellular building blocks， and 461 molecular functions. KEGG pathway enrichment obtained 248 pathways， mainly involving cancer-related pathways， TRP pathway， cyclic adenosine monophosphate（cAMP） pathway， and NF-κB pathway. Molecular docking showed that the binding of the key active ingredients to the target targets was more stable. Morris water maze experiment indicated that Kaixinsan could improve the learning memory ability of SCOP-induced mice. HE staining and ELISA results showed that Kaixinsan had an ameliorating effect on central nerve injury in mice. Western blot test indicated that Kaixinsan had a down-regulating effect on the levels of NF-κB p65 phosphorylation and STAT3 phosphorylation in the hippocampal tissue of mice in the SCOP model. ConclusionKaixinsan can improve the cognitive impairment function in SCOP model mice and may reduce hippocampal neuronal damage and thus play a therapeutic role in the treatment of AD by regulating NF-κB p65， STAT3， and other targets involved in the NF-κB signaling pathway.

Polycystic ovary syndrome （PCOS） is a common gynecological endocrine and reproductive disorder，with the main clinical manifestations including ovulation failure，insulin resistance，hyperandrogenism，and obesity. Its occurrence and development are closely related to cellular regulatory mechanisms such as apoptosis，autophagy，oxidative stress，and inflammatory response. Autophagy，as a clearance mechanism that maintains cellular homeostasis，plays a crucial role in maintaining the growth，development，and maturation of oocytes. Exploring the mechanism of autophagy during the occurrence and development of diseases can help develop treatment methods for PCOS by regulating autophagy. Studies have shown that autophagy plays an important role in the pathogenesis of PCOS，and it can affect the occurrence and development of PCOS through multiple pathways，levels，and targets. Traditional Chinese medicine （TCM） regulates autophagy in ovarian granulosa cells or endometrium of patients with PCOS by targeting the expression of autophagy signaling pathways，regulatory factors，and non-coding single-stranded RNA molecules，thereby alleviating inflammation，regulating metabolism disorders，and balancing hormone levels in PCOS. Accordingly，TCM can ameliorate pathological conditions such as insulin resistance，hyperandrogenism，and ovulation failure in PCOS. This article summarizes the TCM formulas and extracts for the treatment of PCOS，as well as the main autophagy pathways and regulatory factors involved，aiming to provide reference and suggestions for the future treatment of PCOS with TCM by regulating autophagy.

Background: and Purpose This study aimed to investigate the association between residual inflammatory risk (RIR) and vulnerable plaques using high-resolution magnetic resonance imaging (HRMRI) in symptomatic intracranial atherosclerotic stenosis (ICAS). Methods: This retrospective study included 70%–99% symptomatic ICAS patients hospitalized from January 2016 to December 2022. Patients were classified into four groups based on high-sensitivity C-reactive protein (hs-CRP) and low-density lipoprotein cholesterol (LDL-C): residual cholesterol inflammatory risk (RCIR, hs-CRP ≥3 mg/L and LDL-C ≥2.6 mmol/L), RIR (hs-CRP ≥3 mg/L and LDL-C <2.6 mmol/L), residual cholesterol risk (RCR, hs-CRP <3 mg/L and LDL-C ≥2.6 mmol/L), and no residual risk (NRR, hs-CRP <3 mg/L and LDL-C <2.6 mmol/L). Vulnerable plaque features on HRMRI included positive remodeling, diffuse distribution, intraplaque hemorrhage, and strong enhancement. Results: Among 336 included patients, 21, 60, 58, and 197 were assigned to the RCIR, RIR, RCR, and NRR groups, respectively. Patients with RCIR (adjusted odds ratio [aOR], 3.606; 95% confidence interval [CI], 1.346–9.662; P=0.011) and RIR (aOR, 3.361; 95% CI, 1.774–6.368, P<0.001) had higher risks of strong enhancement than those with NRR. Additionally, patients with RCIR (aOR, 2.965; 95% CI, 1.060–8.297; P=0.038) were more likely to have intraplaque hemorrhage compared with those with NRR. In the sensitivity analysis, RCR (aOR, 2.595; 95% CI, 1.201–5.608; P=0.015) exhibited an additional correlation with an increased risk of intraplaque hemorrhage. Conclusion In patients with symptomatic ICAS, RIR is associated with a higher risk of intraplaque hemorrhage and strong enhancement, indicating an increased vulnerability to atherosclerotic plaques.

Background: s/Aims: Anti-mitochondrial M2 antibody (AMA-M2) is a specific marker for primary biliary cholangitis (PBC) and it could be also present in non-PBC individuals. Methods: A total of 72,173 Chinese health check-up individuals tested AMA-M2, of which non-PBC AMA-M2 positive individuals were performed follow-up. Baseline data of both clinical characteristics and laboratory examinations were collected in all AMA-M2-positive individuals. Least absolute shrinkage and selection operator (LASSO) regression was performed to investigate the potential variables for developing PBC. Results: A total of 2,333 individuals were positive with AMA-M2. Eighty-two individuals had a medical history of PBC or fulfilled the diagnostic criteria of PBC at baseline, and 2,076 individuals were non-PBC. After a median follow-up of 6.6 years, 0.6% developed PBC, with an accumulative 5-year incidence rate of 0.5%. LASSO regression showed that levels of alkaline phosphatase (ALP), gamma-glutamyl transpeptidase (GGT), immunoglobulin M (IgM), eosinophilia proportion (EOS%), gamma globulin percentage, and hemoglobin (HGB) were potential variables for developing PBC. Multivariate Cox regression is used to construct a predictive model based on 7 selected variables, and time-dependent receiver operating characteristic analysis showed that the area under the curve of the prediction model at 3, 5, and 10 years were, respectively, 1.000, 0.875, and 0.917. Conclusions This study offers insights into the onset of PBC among individuals who tested positive for AMA-M2 during routine health check-ups. The prediction model based on ALP, GGT, IgM, EOS%, gamma globulin percentage, HGB, and sex has a certain predictive ability for the occurrence of PBC in this population.

Jasmonic acid (JA) is a common plant hormone with regulatory effects on plant growth and development. The jasmonate ZIM-domain (JAZ) proteins (JAZs), as key regulators in the JA signaling pathway, are involved in multiple biological processes such as anthocyanin accumulation, flowering time modulation, and secondary metabolite synthesis in plants. JAZs are essential components of many regulatory signaling networks. The JAZ genes, members of the plant-specific TIFY family, have been identified in the genomes of a variety of horticultural plants. Here, we summarized the research progress in the roles of JAZs in horticultural plants, aiming to give insights into the further study of the biological functions and regulatory networks of JAZ genes in plants.
Horticulture ; Repressor Proteins/metabolism* ; Plant Proteins/metabolism* ; Cyclopentanes/metabolism* ; Oxylipins/metabolism* ; Plants/metabolism* ; Plant Development

Objective: To review the current development of artificial intelligence (AI) technology in the field of transfusion medicine. Methods: A systematic search was conducted in the Clarivate Web of Science Database from inception to December 2024 for literature related to AI and transfusion. A total of 4 775 publications were identified. Based on inclusion and exclusion criteria, 133 original studies were ultimately included and analyzed using a narrative synthesis approach. Results: Research on AI in transfusion has surged since 2020 (accounting for 77% of all publications), with China ranking second globally in publication volume. Among the included studies, 69.2% focused on predicting individual transfusion needs, followed by inventory management (8.3%), diagnosis and prediction of adverse transfusion reactions (6.0%), factors influencing transfusion outcomes (5.3%), blood group identification (5.3%), blood quality testing (4.5%), and precise blood volume measurement (1.5%). Additionally, 4.5% of the studies were published in journals with an impact factor greater than 10; 19.5% developed software or applications; 31.5% were multi-center studies; 48.1% utilized decision tree methods, while 31.5% employed neural network approaches; and 14.2% conducted external validation of the algorithms. Conclusion: AI demonstrates significant potential in transfusion risk prediction, decision support, and blood management. However, challenges remain, including limited model generalizability, insufficient algorithm interpretability, and barriers to clinical translation. The deep integration of AI with transfusion medicine will accelerate the advent of precision transfusion era, maximizing blood resource utilization, reducing waste, and ensuring transfusion safety.