OBJECTIVE To establish a full-cycle management model for type 2 diabetes mellitus （T2DM） patients led by clinical pharmacists. METHODS Based on literature research， a basic framework and items of full-cycle management model led by clinical pharmacists were initially formulated. The Delphi method was adopted to conduct questionnaire inquiries among 26 experts to determine the specific implementation items of the model. The analytic hierarchy process （AHP） method was used to determine the weight values of items at all levels， and the reliability and validity of the model items were analyzed. RESULTS The recovery rates of the two rounds of expert consultation questionnaires were 86.67% and 100%， respectively， and the expert authority coefficient was 0.88. Kendall’s concordance coefficients of the tertiary-level items were 0.064 and 0.084， respectively， and the P values from the χ 2 tests were all less than 0.05； the consistent ratios of the judgment matrices for all levels of AHP model were all less than 0.1. The established full-cycle management led by clinical pharmacists comprised three primary-level items （pharmacy service pathway for T2DM patients during hospitalization， pharmacy management pathway for hypoglycemia in T2DM inpatients， and the pharmacy follow-up pathway for T2DM discharged patients， with weights of 0.098， 0.568 and 0.334， respectively）， twelve secondary-level items （e.g. pharmaceutical care during hospitalization for 1 to 2 days， admission assessment and education， with weights ranging from 0.143 to 0.333） and thirty-seven tertiary-level items （e.g. assessment of medication compliance， verification of the medication plan for discharge， with weights ranging from 0.068 to 0.750）. Cronbach’s α coefficients for primary-level items and the overall questionnaire were 0.762， 0.879， 0.928 and 0.951， respectively. The item-level and scale-level content validity indexes were 0.967 and 0.808， respectively. CONCLUSIONS A full-cycle management model for T2DM patients led by clinical pharmacists has been constructed successfully， demonstrating high scientificity and reliability.

Liver fibrosis is the core pathological stage of the progression of various chronic liver diseases to liver cirrhosis， and hepatic stellate cell （HSC） activation and the abnormal accumulation of collagen fibers are important processes for the development and progression of liver fibrosis. In recent years， studies have shown that HSC activation is regulated by the complex interactions between various organelles （including mitochondria， endoplasmic reticulum， Golgi apparatus， lysosome， and peroxisomes）， and such interactions affect the key cellular processes such as energy metabolism， protein synthesis and folding， reactive oxygen species balance， and autophagy， thereby participating in the progression of liver fibrosis. Meanwhile， traditional Chinese medicine and its active ingredients with multi-target synergistic effects have attracted wide attention. From the perspective of the interaction between organelles， this article systematically elaborates on the specific mechanism of such interactions in the progression of liver fibrosis and reviews how traditional Chinese medicine inhibits HSC activation and collagen production by regulating the function of these organelle and their interaction networks， thereby exerting an anti-liver fibrosis effect， in order to provide a theoretical basis for in-depth understanding of the pathological mechanism of liver fibrosis and the development of new traditional Chinese medicine intervention strategies.

Drug-drug interaction (DDI) refers to the interaction between two or more drugs in the body, altering their efficacy or pharmacokinetics. Fully considering and accurately predicting DDI has become an indispensable part of ensuring safe medication for patients. In recent years, many deep learning-based methods have been proposed to predict DDI. However, most existing computational models tend to oversimplify the fusion of drug structural and topological information, often relying on methods such as splicing or weighted summation, which fail to adequately capture the potential complementarity between structural and topological features. This loss of information may lead to models that do not fully leverage these features, thus limiting their performance in DDI prediction. To address these challenges, we propose a relation-aware cross adversarial network for predicting DDI, named RCAN-DDI, which combines a relationship-aware structure feature learning module and a topological feature learning module based on DDI networks to capture multimodal features of drugs. To explore the correlations and complementarities among different information sources, the cross-adversarial network is introduced to fully integrate features from various modalities, enhancing the predictive performance of the model. The experimental results demonstrate that the RCAN-DDI method outperforms other methods. Even in cases of labelled DDI scarcity, the method exhibits good robustness in the DDI prediction task. Furthermore, the effectiveness of the cross-adversarial module is validated through ablation experiments, demonstrating its superiority in learning multimodal complementary information.

OBJECTIVES: This study aims to investigate factors influencing dental arch development in patients aged 0-6 years with cleft palate after Sommerlad-Furlow (SF) palatoplasty. METHODS: A total of 183 patients who underwent primary SF repair for cleft lip and palate before 18 months of age were included. Follow-ups were conducted at different ages, and digital dental casts of the maxillary dental arch were obtained using 3-matic Research 12.0 software. The length and width of the dental arch and palate were measured to explore developmental changes in the maxillary dental arch of the patients after the procedure. The study also investigated the influence of gender, age, cleft palate type, and relaxation incision on maxillary dental arch development. RESULTS: After SF, maxillary dental arch measurements showed statistically significant differences between children aged 0-2 years and those aged 3-6 years (P<0.05). However, no statistically significant differences were observed among different age groups within the 3-6 years range. Statistically significant differences were detected between males and females, with males having greater width of the posterior dental arch and palate (P=0.001) and shorter length of the anterior dental arch and entire dental arch (P<0.05). The unilateral cleft lip and palate group had shorter dental arch length (P<0.01) and wider posterior palate (P<0.01) than the cleft palate only group. Maxillary dental arch measurements had no statistically significant differences between groups with or without a relaxing incision. CONCLUSIONS Gender and age influence the width of the maxillary dental arch in children aged 0-6 years after SF, while age and cleft palate type affect dental arch length.
Humans ; Child, Preschool ; Male ; Cleft Palate/surgery* ; Female ; Child ; Infant ; Dental Arch/growth & development* ; Maxilla/growth & development* ; Cleft Lip/surgery* ; Age Factors ; Sex Factors ; Palate/surgery* ; Infant, Newborn

Objective:To investigate the effect of glioma cell-derived apoptotic extracellular vesicles(apoEVs)on glioma tumorigen-esis and temozolomide(TMZ)resistance and its mechanism.Methods:The extracted apoEVs were characterized using nanoparticle tracking analysis and transmission electron microscopy,and Western blot,flow cytometry,CCK-8 assay,colony formation assay,and Transwell assay were used to investigate the effect of apoEVs on cell proliferation,migration,invasion,and apoptosis.Results:ApoEVs promoted TMZ resistance in glioma cells,significantly increased the half-maximal inhibitory concentration of TMZ(t=9.326,P=0.001),and inhibited cell apoptosis,and this effect could be reversed by the exosome inhibitor GW4869.ApoEVs also promoted the migration and invasion of glioma cells,increased the expression of vimentin and Twist proteins(t=8.762,P=0.002;t=7.941,P=0.004),and inhibited the expression of cleaved caspase-3(t=9.217,P=0.002).Further studies showed that apoEVs affected TMZ resistance of glioma cells by regulating the LncRNA-XIST/miR-29c/O6-methylguanine-DNA methyltransferase(MGMT)axis.Silencing of LncRNA-XIST could reduce the expression of MGMT and increase the expression of miR-29c,thereby enhancing the sensitivity to TMZ and inhibiting cell migration and invasion.Conclusion:Glioma cell-derived apoEVs promote the malignant progression and temo-zolomide resistance of glioma by delivering LncRNA-XIST to regulate the miR-29c/MGMT axis.

ObjectiveTo investigate whether Danggui Shaoyaosan （DSS） inhibits oxidative stress and alleviates inflammation via the Ras homolog family member A （RhoA）/Rho-associated coiled-coil containing protein kinase 1 （ROCK）/nuclear factor kappa-B （NF-κB） signaling pathway， thereby delaying the progression of diabetic kidney disease （DKD） and exerting a nephroprotective effect. MethodsEight db/m mice were assigned to the normal group， and forty 8-week-old db/db mice were randomly divided into the model group， DSS low-dose group （8.39 g·kg^-1）， DSS medium-dose group （16.77 g·kg^-1）， DSS high-dose group （33.54 g·kg^-1）， and irbesartan group （0.025 g·kg^-1）， with eight mice in each group. All groups were administered the corresponding treatment by gavage once daily for 12 weeks. The normal and model groups received an equal volume of saline. During administration， changes in body weight， fasting blood glucose （FBG）， and 24 hour urinary protein （24 h UTP） were observed. After 12 consecutive weeks of administration， hematoxylin-eosin （HE） staining and Masson's trichrome staining were used to observe renal histopathological changes in each group. The levels of reactive oxygen species （ROS） in renal tissue were detected using the dihydroethidium （DHE） method. The expression levels of superoxide dismutase （SOD） and malondialdehyde （MDA） in renal tissue were determined. Serum interleukin-1β （IL-1β） and interleukin-6 （IL-6） levels were measured using enzyme-linked immunosorbent assay （ELISA）. The mRNA expression levels of RhoA， ROCK1， and NF-κB p65 in renal tissues were detected by Real-time quantitative polymerase chain reaction （Real-time PCR）. Protein expression levels of fibronectin （FN）， Collagen Ⅳ（Col Ⅳ）， transforming growth factor-β₁ （TGF-β₁）， RhoA， ROCK， and NF-κB p65 in renal tissues were determined by Western blot. ResultsCompared with the normal group， the model group showed significantly increased body weight， FBG， and 24 h UTP levels （P<0.01）， elevated serum IL-1β and IL-6 levels， enlarged glomerular volume， diffuse mesangial expansion， increased mesangial matrix， and marked collagen fiber proliferation in renal tissues. SOD activity was decreased， while MDA， ROS， RhoA， ROCK1， and NF-κB p65 mRNA expression levels were increased （P<0.01）， and the protein expression levels of FN， Col Ⅳ， TGF-β₁， RhoA， ROCK， and NF-κB p65 were also elevated （P<0.01）. Compared with the model group， the DSS low-， medium-， and high-dose groups and the irbesartan group showed reductions in body weight， FBG， and 24 h UTP， decreased serum IL-1β and IL-6 levels， varying degrees of improvement in renal histopathology， increased SOD activity， decreased MDA levels， reduced ROS expression， and significantly downregulated RhoA， ROCK1， and NF-κB p65 mRNA expression （P<0.05， P<0.01）， as well as reduced protein expression levels of FN， Col Ⅳ， TGF-β₁， RhoA， ROCK， and NF-κB p65 （P<0.05， P<0.01）. ConclusionDSS can alleviate oxidative stress and inflammation， reduce extracellular matrix deposition， and delay renal fibrosis progression in db/db mice. Its mechanism may be related to the inhibition of the RhoA/ROCK/NF-κB signaling pathway， thereby exerting a therapeutic effect on DKD.

OBJECTIVE To explore the effect and mechanism of Zexie tang （ZXT） on reducing lipid accumulation through network pharmacology， and compare the difference of traditional decoction versus formula granules. METHODS The active components and targets of ZXT were identified using TCMSP and SwissTargetPrediction databases. GeneCards， OMIM， DisGeNET and TTD databases were used to analyze the related targets of non-alcoholic fatty liver disease （NAFLD）； protein-protein interaction network model was constructed by String database；“ ZXT-NAFLD target-pathway” network diagram was constructed by using CytoScape software； target enrichment analysis was performed by using Metascape platform. Fat accumulation model of human hepatocellular carcinoma HepG2 cells was established to observe the effects of traditional decoction and formula granules of ZXT on lipid accumulation of cells. RESULTS Alisol B， alisol C， 1-monolinolein and alisol B monoacetate were the key active components of ZXT in the treatment of NAFLD. The core targets included MDM2， MAPK1， PIK3CB， PRKCQ and MAPK14， etc. The core signaling pathways included endocrine resistance， insulin resistance and Th17 cell differentiation. Compared with model group， except for the Zexie formula granules group and Baizhu formula granules group， the absorbance values in all other administration groups were significantly decreased （P＜0.01）； the absorbance value of Baizhu traditional decoction group was significantly higher than that of ZXT traditional decoction group （P＜0.01）； the absorbance values of Zexie formula granule group and Baizhu formula granule group were significantly higher than that of ZXT formula granule group （P＜0.01）； the absorbance value of Zexie formula granule group was significantly higher than that of Zexie traditional decoction group （P＜0.01）； the absorbance value of Baizhu formula granule group was significantly higher than that of Baizhu traditional decoction group （P＜0.01）. CONCLUSIONS ZXT reduces lipid accumulation of human hepatocellular carcinoma cells through multiple components， multiple target and multiple pathways， and its traditional decoction and formula granules exhibit slightly different lipid-lowering effects.

ObjectiveTo investigate the status and dietary intake risk of pesticide residues in fruits and vegetables sold in Wenzhou, Zhejiang Province from 2020 to 2023, so as to provide a scientific basis for the regulation and management of pesticide in the future. MethodsIn accordance with the requirements and methods specified in the “National Food Contamination and Hazardous Factor Risk Monitoring Work Manual” and the current corresponding national food inspection standards for various foods, a total of 807 samples of vegetables and fruits from various counties and districts of Wenzhou City were collected for testing and analysis. Eventually, 23 types of pesticides with a detection rate greater than 5% and those exceeding the standard were selected for dietary intake risk assessment. ResultsFrom 2020 to 2023, the overall detection rate of pesticide residues in fruits and vegetables monitored in Wenzhou was 71.62%, with an overall exceedance rate of 5.27%. From the results of the monitoring of pesticide residues in fruits and vegetables, fresh legume vegetables had the highest detection rate of 90.00%. Among the six major categories of pesticides monitored, fungicides in vegetables and fruits had the highest detection rates of 68.18% and 85.03%, respectively. The highest exceedance rate in vegetables was organophosphorus pesticides, accounting for 2.85%, while in fruits, neonicotinoid pesticides had the highest exceedance rate of 3.21%. From the perspective of sampling time, the peak detection rate of pesticide residues in fruits and vegetables in Wenzhou occurred in June and October. The index of food safety (IFS) of the 23 pesticides with a detection rate higher than 5% ranged from 0.000 7 to 0.694 2 based on the 95% monitoring value of pesticide residues, which were all less than 1. Calculated at maximum content, the IFS values of dithiocarbamate (calculated by CS₂), chlorothalonil and propiconazole were all greater than 1, indicating that the maximum detection values of the three pesticides exceeded the acceptable safety risk. The risk level of acute dietary intake of the 23 pesticides ranged from 1.26% to 52.65%. ConclusionThe overall situation of pesticide residues in fruits and vegetables sold in Wenzhou from 2020 to 2023 is favourable, but the exceedance rate of pesticide in some fruits and vegetables is high. Special attention should be paid to the pesticide residues of fungicides, neonicotinoid insecticides and organophosphorus pesticides in fresh legume vegetables, bulb vegetables and some fruits sold in Wenzhou, such as acetamiprid in bayberry and cowpea, dimethomorph in strawberry, chlorpyrifos in leek, etc., and monitoring of pesticide residues in food need to be strengthened.

Micro/nanoplastics (MNPs), recognized as emerging environmental pollutants, are widely distributed in natural environments. Due to their small particle size and significant migratory capacity, MNPs can infiltrate diverse environmental matrices, then invade and accumulate in the organism via the skin, respiration, and digestion. Recently, concerns have grown over the detrimental effects and potential toxicity of MNPs on reproductive health. This review summarized published epidemiological and toxicological studies related to MNPs exposure and their effects on reproductive health. Firstly, this review critically examined the current landscape of epidemiological evidence and found that MNPs (e.g., polystyrene, polypropylene, polyvinyl chloride, polyethylene, etc.) are present in various biological specimens from both males and females, and their presence may be associated with an increased risk of reproductive disorders. Secondly, extensive toxicological studies revealed that MNPs exposure induces reproductive health damage through mechanisms such as disrupting the microstructure of reproductive organs and altering molecular-level expressions. Oxidative stress, inflammatory responses, and apoptosis are identified as potential links between MNPs exposure and reproductive damage. Finally, this review addressed the prevalent shortcomings in existing studies and proposed future directions to tackle the challenges posed by MNPs-induced reproductive harm. These insights aim to inform strategies for safeguarding public reproductive health and ecological security, providing a scientific foundation for mitigating risks associated with MNPs pollution.