Objective: To explore the association of vegetables and fruits intake with depressive symptoms among multi ethnic first year junior high school students in Yunnan Province, so as to provide data support for preventing and reducing depressive symptoms among first year junior high school students. Methods: From October to December 2022, a cluster random sampling method was used to select 8 500 first year junior high school students from 11 ethnic minority areas in Yunnan Province (Fugong County, Longling County, Longyang District, Luchun County, Mojiang County, Nanjian County, Qiaojia County, Shuangjiang County, Tengchong City, Yuanmou County, Zhenyuan County), to investigate with a questionnaire. The Dietary Frequency Questionnaire was used to collect dietary behavior datas, and the Chinese version of Depression Anxiety Stress Scale-21 (DASS-21) was used to assess depressive symptoms. The generalized linear model was used to analyze the association of vegetable and fruit intake with depressive symptoms in students, and stratified analysis was performed according to ethnicity. Results: The detection rate of depressive symptoms among first year junior high school students in Yunnan Province was 29.5%. The detection rates of depressive symptoms in Han and minority first year junior high school students were 26.9% and 31.6%. After controlling for demographic variables such as gender, age, family residence and other confounding factors, the generalized linear model analysis results showed that the intake of leafy vegetables ( β= -0.07 , 95%CI =-0.12 to -0.01), flat fruits ( β=-0.06, 95%CI =-0.12 to -0.00) and hot natured fruits ( β=0.11, 95%CI = 0.04- 0.17) were associated with depressive symptoms in Han first year junior high school students (all P <0.05). The intake of melon and fruit vegetables ( β=-0.06, 95%CI =-0.11 to -0.01) and hot natured fruits ( β=0.06, 95%CI =0.01-0.12) were associated with depressive symptoms in ethnic minority first year junior high school students (both P <0.05). Conclusions The intake of vegetables and fruits among multi ethnic first year junior high school students in Yunnan Province is related to the risk of depressive symptoms. It is suggested to strengthen the consumption guidance and education of vegetables and fruits to prevent depressive symptoms among first year junior high school students.

Flexible ureteral lithotripsy (FURL) under general anesthesia (GA) is the dominant method in the treatment of renal and upper ureteral calculi，but some patients cannot tolerate GA.In recent years，there has been a growing interest in the use of local anesthesia (LA) as a safe and effective alternative.And it is also an option for patients who have calculi ≤20 mm with high fragility，lower CT value and better compatibility.Before surgery，it is important to conduct relevant examinations，evaluate the status of patients，prevent infections，and indwell ureteral stents.During surgery，lithotomy position，scissors position，prone leg position and other positions should be selected according to the specific conditions of patients.LA drugs should be used to control physiological pain and relieve psychological anxiety.Patients' breathing state should be carefully monitored，and appropriate ureteroscope and lens sheath should be selected for the success and safety of the operation.In this paper，the perioperative management of FURL under LA is briefly summarized，so as to provide reference for clinical practice.

ObjectiveTo investigate the influence of empagliflozin combined with donafenib or lenvatinib on the pharmacokinetic parameters of each drug， and to provide a reference for combined medication in clinical practice. MethodsA total of 48 healthy male Sprague-Dawley rats were divided into 8 groups： empagliflozin group 1 and 2， donafenib group， lenvatinib group， donafenib pretreatment+empagliflozin group， lenvatinib pretreatment + empagliflozin group， empagliflozin pretreatment+donafenib group， and empagliflozin pretreatment+lenvatinib group， with 6 rats in each group. The doses of empagliflozin， donafenib， and lenvatinib were 2.5 mg/kg， 40 mg/kg， and 1.2 mg/kg， respectively. The rats in the empagliflozin group， donafenib group， and lenvatinib group were given a blank solvent by gavage for 7 consecutive days， followed by a single dose of empagliflozin， donafenib， or lenvatinib on day 7 after the administration of the blank solvent； the rats in the pretreatment groups were given the pretreatment drug by gavage for 7 consecutive days， followed by a single dose of drug combination on day 7 after administration of the pretreatment drug. Blood samples were collected at different time points， and plasma was separated to measure the concentration of each drug. A validated ultra-performance liquid chromatography-tandem mass spectrometry method was used to measure the plasma concentrations of donafenib， lenvatinib， and empagliflozin， and a non-compartmental model was used to calculate the main pharmacokinetic parameters of each drug （area under the plasma concentration-time curve ［AUC］， time to peak ［T_max］， peak concentration ［C_max］， and half-life time ［t_1/2］）. The independent-samples t test was used for comparison of normally distributed continuous data between two groups， and the Mann-Whitney U test was used for comparison of non-normally distributed continuous data between two groups. ResultsCompared with the empagliflozin group， the donafenib pretreatment+empagliflozin group had significant increases in the AUC_0-t and AUC_0-∞ of empagliflozin （P=0.011 and 0.008）， while the lenvatinib pretreatment+empagliflozin group had no significant change in the AUC of empagliflozin， with a slightly shorter T_max （P=0.019）. Compared with the donafenib group， the empagliflozin pretreatment+donafenib group had significant increases in the AUC_0-t and AUC_0-∞ of donafenib （P=0.027 and 0.025）， as well as a significant increase in C_max （P=0.015） and significant reductions in CLz/F and Vz/F （P=0.005 and 0.004）； compared with the lenvatinib group， the empagliflozin pretreatment+lenvatinib group had a reduction in the t_1/2 of lenvatinib by approximately 5 hours （P=0.002）， with a trend of reduction in AUC_0-t （P0.05）. ConclusionEmpagliflozin combined with donafenib may alter the pharmacokinetic parameters of both drugs， leading to a significant increase in the exposure levels of both drugs， and efficacy and adverse reactions should be monitored during co-administration. There are no significant changes in the exposure levels of empagliflozin and lenvatinib during co-administration.

Notum, a negative feedback regulator of the Wnt signaling, has emerged as a promising target for treating glucocorticoid-induced osteoporosis (GIOP). This study showcases an efficient strategy for discovering the anti-Notum constituents from herbal medicines (HMs) as novel anti-GIOP agents. Firstly, a rapid-responding near-infrared fluorogenic substrate for Notum was rationally engineered for high-throughput identifying the anti-Notum HMs. The results showed that Bu-Gu-Zhi (BGZ), a known anti-osteoporosis herb, potently inhibited Notum in a competitive-inhibition manner. To uncover the key anti-Notum constituents in BGZ, an efficient strategy was adapted via integrating biochemical, phytochemical, computational, and pharmacological assays. Among all identified BGZ constituents, three furanocoumarins were validated as strong Notum inhibitors, while 5-methoxypsoralen (5-MP) showed the most potent anti-Notum activity and favorable safety profiles. Mechanistically, 5-MP acted as a competitive inhibitor of Notum via creating strong hydrophobic interactions with Trp128 and Phe268 in the catalytic cavity of Notum. Cellular assays showed that 5-MP remarkably promoted osteoblast differentiation and activated Wnt signaling in dexamethasone (DXMS)-challenged MC3T3-E1 osteoblasts. In dexamethasone-induced osteoporotic mice, 5-MP strongly elevated bone mineral density (BMD) and improved cancellous and cortical bone thickness. Collectively, this study constructs a high-efficient platform for discovering key anti-Notum constituents from HMs, while 5-MP emerges as a promising anti-GIOP agent.

Stem cells play a crucial role in maintaining tissue regenerative capacity and homeostasis. However, mechanisms associated with stem cell senescence require further investigation. In this study, we conducted a proteomic analysis of human dental pulp stem cells (HDPSCs) obtained from individuals of various ages. Our findings showed that the expression of NUP62 was decreased in aged HDPSCs. We discovered that NUP62 alleviated senescence-associated phenotypes and enhanced differentiation potential both in vitro and in vivo. Conversely, the knocking down of NUP62 expression aggravated the senescence-associated phenotypes and impaired the proliferation and migration capacity of HDPSCs. Through RNA-sequence and decoding the epigenomic landscapes remodeled induced by NUP62 overexpression, we found that NUP62 helps alleviate senescence in HDPSCs by enhancing the nuclear transport of the transcription factor E2F1. This, in turn, stimulates the transcription of the epigenetic enzyme NSD2. Finally, the overexpression of NUP62 influences the H3K36me2 and H3K36me3 modifications of anti-aging genes (HMGA1, HMGA2, and SIRT6). Our results demonstrated that NUP62 regulates the fate of HDPSCs via NSD2-dependent epigenetic reprogramming.
Humans ; Dental Pulp/cytology* ; Nuclear Pore Complex Proteins/genetics* ; Cellular Senescence/genetics* ; Stem Cells/metabolism* ; Epigenesis, Genetic ; Cell Proliferation ; Cell Differentiation ; Histone-Lysine N-Methyltransferase/metabolism* ; Cells, Cultured ; Cellular Reprogramming ; Cell Movement ; Proteomics

Current experimental and computational methods have limitations in accurately and efficiently classifying ion channels within vast protein spaces. Here we have developed a deep learning algorithm, GPT2 Ion Channel Classifier (GPT2-ICC), which effectively distinguishing ion channels from a test set containing approximately 239 times more non-ion-channel proteins. GPT2-ICC integrates representation learning with a large language model (LLM)-based classifier, enabling highly accurate identification of potential ion channels. Several potential ion channels were predicated from the unannotated human proteome, further demonstrating GPT2-ICC's generalization ability. This study marks a significant advancement in artificial-intelligence-driven ion channel research, highlighting the adaptability and effectiveness of combining representation learning with LLMs to address the challenges of imbalanced protein sequence data. Moreover, it provides a valuable computational tool for uncovering previously uncharacterized ion channels.

Objective: To establish a machine learning-based precision blood donor recruitment model at the county level and assess its generalizability and applicability. Methods: A retrospective study was conducted using blood donation and SMS recruitment data from the Taicang Branch of the Suzhou Blood Center between 2019 and 2024. Multiple machine learning algorithms were employed, including extreme gradient boosting, support vector machine, k-nearest neighbor, logistic regression, decision tree, random forest, and multilayer perceptron. These were combined with techniques such as synthetic minority oversampling, undersampling, and cost-sensitive learning (using MFE and MSFE loss functions). Model parameters were optimized through grid search to identify the best-performing model. Results: In a prospective comparative study against conventional methods, the machine learning models increased the recruitment success rate among high-willingness donors by an average of 129.15%, and the recruitment efficiency per SMS improved by 125.02% compared with the traditional method. Under full-scale SMS sending, the recruitment rate per SMS increased by 42.61%, and SMS sending efficiency improved by 31.77%, significantly enhancing recruitment performance. Conclusion: This study represents the first application of a machine learning-based precision donor recruitment model at the county-level in China. The precise recruitment framework not only improves recruitment efficiency and reduces recruitment costs but also demonstrates strong scalability and generalizability. It provides a scientific and feasible intelligent pathway to ensure the safety and sustainability of the blood supply.

ObjectiveTo observe the effect of Shufeng Jiedu capsule （SFJD）-containing serum on human lung epithelial cells infected by influenza A virus， and investigate the protective effect of the drug on the cells and the potential antiviral effect. MethodThe SFJD-containing serum was prepared and used to treat human lung epithelial cells （BEAS-2B） cultured in vitro. The viability of cells treated with different concentrations of SFJD-containing serum was measured by the cell counting kit-8 （CCK-8）， and the optimal concentration of SFJD-containing serum was screened for subsequent experiments. BEAS-2B cells were classified into normal control， virus infection， and SFJD-containing serum groups， and the CCK-8 method was used to detect the survival rate of BEAS-2B cells after virus infection and drug administration. The expression of influenza virus nucleic acid in the cells of each group was determined， and the apoptosis of cells in different groups was observed by fluorescence microscopy. Real-time PCR was employed to determine the mRNA levels of influenza virus nucleoprotein （NP）， Toll-like receptor 4 （TLR4）， and myeloid differentiation primary response gene 88 （MyD88） in each group of cells. The immunofluorescence assay was used to detect the fluorescence intensities of TLR4， MyD88， and phosphorylated nuclear factor-κB （p-NF-κB） in lung epithelial cells. ResultCompared with that in the control group （normal serum）， the cell survival rates in the blank serum and the SFJD-containing serum （5%， 10%， and 20%） groups were 100.00%±0.00%， 89.05%±4.80%， 87.13%±5.90%， 93.83%±6.03%， and 99.33%±3.39%， respectively （P<0.01）. The SFJD-containing serum of 20% was selected as the optimal treatment for subsequent experiments. Compared with the normal control group， the virus infection group showed reduced cell survival rate （P<0.01）， and the reduction was increased by the SFJD-containing serum （P<0.01）. Compared with the virus infection group， SFJD-containing serum reduced the virus load （P<0.01） to decrease apoptosis. Compared with the normal control group， the virus infection group showed up-regulated mRNA levels of NP， TLR4， and MyD88 （P<0.01）， and the up-regulation was down-regulated by the SFJD-containing serum （P<0.05， P<0.01）. The fluorescence intensities of TLR4， MyD88， and p-NF-κB proteins in the cells increased after virus infection compared with those in the normal control （P<0.05， P<0.01）， and they were decreased after administration with the SFJD-containing serum （P<0.05）. ConclusionThe SFJD-containing serum can inhibit influenza virus in vitro by increasing the survival rate， reducing the apoptosis， and down-regulating the protein levels of TLR4， MyD88， and p-NF-κB in BEAS-2B cells.

ObjectiveTo evaluate the effectiveness of Lutongning granules in the treatment of trigeminal neuralgia in animal models and study its mechanism of action， so as to provide laboratory data support for the clinical application of Lutongning granules and precise treatment. MethodMale SD rats were randomly divided into normal group， model group， carbamazepine group （0.06 g·kg^-1·d^-1）， high-dose Lutongning group （2.70 g·kg^-1·d^-1）， and low-dose Lutongning group （1.35 g·kg^-1·d^-1） according to the stratified basic mechanical pain thresholds， with 10 rats in each group. A trigeminal neuralgia model of rats was prepared by injecting 30% talc suspension into the infraorbital foramen area of the rat. The drug groups were administered 10 mL·kg^-1 of drugs by gavage after 2 h of modeling. The normal group and the model group were administered distilled water by gavage under the same conditions once a day for 10 consecutive days. Von Frey brushes were used to determine the mechanical pain threshold of rats. A fully automated blood and body fluid analyzer was employed to detect the blood routine of rats. Hematoxylin and eosin （HE） staining was utilized to detect the pathological changes in the trigeminal ganglion and medulla oblongata tissue. Transmission electron microscopy was used to scan the ultrastructure of the medulla oblongata tissue. Enzyme-linked immunosorbent assay （ELISA） was used to detect the levels of inflammatory factors interleukin （IL）-1， IL-6， IL-8， tumor necrosis factor （TNF）-α， neuropeptide substance P， and β-endorphins （β-EP） in the serum of rats， and Western blot was used to detect the protein expression levels of IL-1β， purinergic receptor P2X7 （P2X7R）， and phosphorylated p38 mitogen-activated protein kinase （p-p38 MAPK）. ResultCompared with that in the normal group， the pain threshold of rats in the model group was significantly lower （P<0.01）. The absolute value of neutrophils （NEUT#） and the percentage of neutrophils （NEUT） were significantly improved， and the percentage of lymphocytes （LYMPH） was significantly reduced （P<0.01）. The serum levels of IL-1， IL-6， IL-8， and TNF-α were significantly increased （P<0.01）. SP content in brain tissue was significantly increased， and β-EP content was significantly decreased （P<0.01）. The relative protein expression of IL-1β， P2X7R， and p-p38 MAPK was significantly increased （P<0.05）. HE staining and transmission electron microscopy results of medulla oblongata tissue revealed neuronal degeneration， mild proliferation of microglial cells， reduction in the number of myelinated nerves， and obvious demyelination. The trigeminal nerve fibers of rats were disarranged， and some nerve fibers showed vacuolization. Axons were swollen， and Schwann cells proliferated. Demyelination was observed. Compared with the model group， each administration group significantly increased the pain threshold of rats （P<0.05， P<0.01）， reduced NEUT# and NEUT， and elevated LYMPH （P<0.05， P<0.01）. The administration group significantly decreased the levels of IL-1， IL-6， IL-8， and TNF-α in serum and SP in brain tissue （P<0.01） and increased the level of β-EP （P<0.01）. They significantly down-regulated the protein expression of IL-1β， P2X7R， and p-p38 MAPK（P<0.05， P<0.01） and significantly ameliorated the pathological changes in medulla oblongata tissue and trigeminal nerves of rats. ConclusionLutongning Granules had significant therapeutic effects on trigeminal neuralgia induced by injection of talc into the infraorbital foramen of model rats， and the mechanism may be related to amelioration of P2X7R-mediated neuroinflammation and inhibition of demyelination of myelinated nerves.

ObjectiveTo explore host factors interacting with influenza virus nucleoprotein （NP） and study their effects on influenza virus replication， as well as the mechanism of gardenia jasminoides iridoid glycoside （IGE） in inhibiting influenza virus. MethodA yeast two-hybrid system was utilized to screen host factors that interacted with influenza virus NP. Heterogeneous nuclear ribonucleoprotein D0 （HNRNPD）， glucosamine-6-phosphate deaminase 1 （GNPDA1）， poly（rC）-binding protein 1 （PCBP1）， and protein inhibitor of activated signal transducer and activator of transcription （STAT） protein 1 （PIAS1） were validated by immunoprecipitation assay. The effects of PIAS1 and HNRNPD on influenza virus replication were compared by a dual luciferase assay， and the effects of IGE on influenza virus replication were examined in the presence of transfected ribonucleoprotein （RNP） and knockdown of PIAS1. ICR mice were randomly divided into a normal group， model group， oseltamivir phosphate group， and high， medium， and low dose IGE groups， with 10 mice in each group. In addition to the normal group， each group was infected with the influenza A virus FM1 strain by nasal drip to establish a viral pneumonia model. The high， medium， and low dose IGE groups were given drugs of 50， 25， and 12.5 mg∙kg^-1 by gavage， and the oseltamivir phosphate group was given the drug of 27.5 mg∙kg^-1 by gavage. Equal amounts of distilled water were instilled in the normal and model groups for four consecutive days. Later， protein expression of PIAS1， NP， phosphorylated （p）-STAT3， STAT3， p-STAT1， and STAT1 were detected in the lung tissue by Western blot. ResultIn yeast two-hybrid assays， 16 potential host targets interacting with influenza virus NP were identified. Immunoprecipitation experiments revealed that HNRNPD and PIAS1 could interact with influenza virus NP. The dual luciferase reporter assays found that both PIAS1 knockdown and overexpression significantly affected IAV RNP activity （P<0.05， P<0.01）， and the effect of HNRNPD on IAV RNP was not significant. Both high and low dose IGE groups reduced influenza virus replication （P<0.05） and reversed the increase in influenza virus replication caused by the knockdown of PIAS1（P<0.05， P<0.01）. The expressions of PIAS1， NP， p-STAT3， p-STAT1， and STAT1 in the lung tissue of infected mice were reduced to different degrees in each IGE group （P<0.05， P<0.01）. ConclusionPIAS1 interacts with influenza virus NP and is able to inhibit influenza virus replication. IGE may exert antiviral effects by inhibiting the activity of IAV RNP through the PIAS1/STAT1 pathway.