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.

Objective:To investigate the predictive value of systemic inflammatory response index (SIRI), systemic immune-inflammation index (SII), and CT perfusion imaging (CTP) parameters for early neurological deterioration (END) in patients with mild stroke duo to anterior circulation large vessel occlusion.Methods:Patients with minor stroke duo to anterior circulation large vessel occlusion admitted to the First People's Hospital of Suqian from November 2021 to December 2023 were included. Minor stroke was defined as a baseline National Institutes of Health Stroke Scale (NIHSS) score ≤ 5, and END was defined as an increase of ≥ 4 in NIHSS score within 24 hours of admission compared to the baseline. SIRI and SII were calculated based on the findings of blood routine examination. According to CTP at admission, the cerebral blood volume (CBV) index, infarct core volume, and early infarct growth rate (EIGR) were obtained. Multivariate logistic regression analysis was used to determine the independent risk factors for END. Receiver operating characteristic (ROC) curve was used to evaluate the predictive value of each predictor on END. Results:A total of 132 patients were included, with 85 males (64.4%) and a median age of 68 years (interquartile range, 58-77 years). Thirty-nine patients (29.5%) experienced END. The baseline NIHSS score, fasting blood glucose, neutrophil count, lymphocyte count, SIRI, SII, infarct core volume, and EIGR in the END group were significantly higher than those in the non-END group, while the CBV index was significantly lower than that in the non-END group (all P<0.05). Multivariate logistic regression analysis showed that SIRI (odds ratio [ OR] 3.672, 95% confidence interval[ CI] 1.838-6.326; P<0.001), SII ( OR 4.824, 95% CI 2.057-7.135; P<0.001), CBV index ( OR 0.968, 95% CI 0.947-0.986; P<0.001), and EIGR ( OR 2.527, 95% CI 1.918-3.589; P<0.001) were the independent predictive factors of END. ROC curve analysis showed that the area under the curves of SIRI, SII, CBV index, and EIGR for predicting END were 0.780 (95% CI 0.692-0.863), 0.798 (95% CI 0.709-0.888), 0.775 (95% CI 0.697-0.853), and 0.772 (95% CI 0.732-0.829), respectively. Conclusion:SIRI, SII, CBV index, and EIGR are the independent predictive factors of END in patients with minor stroke duo to anterior circulation large vessel occlusion, and have certain predictive value for END.

Objective To explore the relevant protective/risk factors during the development of coronary heart disease blood stasis evidence in the process of pre-existing evidence based on the macro-,meso-,and micro-health state characterization parameter system of Chinese medicine state science.Methods 253 cases of coronary heart disease to be investigated were collected from the outpatient and inpatient departments of the Department of Cardiology in the hospitals affiliated to Hunan University of Traditional Chinese Medicine,and questionnaires were formulated according to the three dimensions of macro,meso,and micro,and the collected parameters were categorized with Python software,and the patients were diagnosed as pre-coronary heart disease blood stasis evidence(150 cases)and coronary heart disease blood stasis evidence(100 cases),and statistical analyses were performed with frequency analysis,χ2 test,and Logistic regression and other methods for statistical analysis.Results ①The results of univariate analysis showed that:age,BMI,history of smoking,history of alcohol consumption,history of hypertension,history of diabetes mellitus,average monthly high temperature,air quality,season,type of occupation,social environment,coronary artery angiographic stenosis,diastolic blood pressure,systolic blood pressure,creatinine,uric acid and total cholesterol differed between patients diagnosed as pre-Coronary artery disease blood stasis evidence and those diagnosed as Coronary artery disease blood stasis evidence,and all the differences were statistically significant(P<0.05).② Binary logistic regression analysis showed that age,BMI,history of alcohol consumption,type of occupation,coronary angiographic stenosis,diastolic blood pressure,creatinine,and dark red tongue were independent risk factors.A prediction model was established:P=1/[1+exp(16.522-1.427×age-0.975×BMI-3.55×drinking history+1.982×monthly average high temperature+0.709×season-1.827×occupational type-1.1×coronary angiographic stenosis-0.072×diastolic blood pressure-0.076×creatinine+2.398×dizziness-4.108×dark red tongue+4.169×pulse asthenia)],the model prediction rate was 90.5%.Conclusion The logistic regression model of coronary heart disease with blood stasis evidence is good with clinical diagnosis,which lays the foundation for the exploration of the state between the already diseased and undiseased of coronary heart disease,and provides important basic data for the theory of subhealth.

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.