Objective: To explore the effects of personality and sleep quality with psychological distress of junior and senior high school stduents, so as to provide a reference basis for precise interventions of junior and senior high school students mental health. Methods: In October 2023, a convenience sampling method was used to select 9 034 students aged 12-17 from Shiyan City as the study subjects. The Pittsburgh Sleep Quality Index (PSQI) and Kessler Psychological Distress Scale (K10) were used to collect information on sleep quality and psychological distress of junior and senior high school stduents. Between group comparison was conducted by using t-test and Chi-square test. Generalized linear models were employed to analyze the interaction and joint effects of personality and sleep quality on psychological distress. Results: The generalized linear model analysis showed that the interaction between personality and sleep quality on psychological distress was statistically significant of junior and senior high school students(effect size=0.80, P <0.01). The general linear model analysis indicated that, after adjusting for variables such as age, gender, screen time, and daily sitting time with the extroverted and good sleep quality group as the reference, the introverted and poor sleep quality group had the largest mean difference in psychological distress scores (difference=0.51, P <0.05). When stratified by sleep quality, psychological distress scores were higher in the introverted and neutral personality groups with both poor and good sleep quality compared to the extroverted group (poor sleep quality: introverted difference=3.71, neutral difference=1.14; good sleep quality: introverted difference=2.23, neutral difference=0.57, all P < 0.05). When stratified by personality, psychological distress scores were higher in the poor sleep quality groups for introverted, neutral, and extroverted individuals compared to their good sleep quality counterparts (differences=8.66, 7.83, 7.34, all P < 0.05 ). Conclusions Personality and sleep quality have interactive and joint effects on psychological distress of junior and senior high school stduents. Personalized psychological interventions should be developed based on personality and sleep quality.

Neonatal diabetes mellitus （NDM） is a rare monogenic disorder primarily caused by insufficient insulin secretion resulting from mutations in the KCNJ11 and ABCC8 genes. Sulfonylureas， represented by glibenclamide， have become the standard therapy for this type of NDM by precisely closing the mutated ATP-sensitive potassium channels in pancreatic β cells， thereby restoring insulin secretion. Clinical studies confirm that sulfonylureas enable over 90% of patients to successfully transition from insulin to oral treatment， achieving long-term stable glycemic control and improving neurological outcomes to a certain extent. In terms of safety， severe hypoglycemia induced by sulfonylureas is relatively rare and gastrointestinal reactions are mild； moreover， sulfonylureas show good long-term tolerability， and have no adverse effects on child growth and development. In the future， by further refining the full-chain management pathway of “rapid genetic diagnosis-early intervention-specialized dosage forms-long-term follow-up”， the clinical application of sulfonylureas is expected to provide NDM patients with an optimized treatment regimen and maximize their health benefits.

Objective To explore the clinical characteristics of autoimmune encephalitis (AE) and the related factors of social frailty. Methods A total of 412 patients with AE admitted to the hospital between January 2020 and August 2025 were collected as research subjects. According to the occurrence status of social frailty, the above patients were classified into social frailty group (n=166) and control group (n=246). The clinical data of patients were analyzed, Multivariate logistic regression analysis was used to analyze the related factors of social frailty in patients with AE.. Results Among the 412 patients, 166 cases (40.29%) had social frailty and 246 cases (59.71%) did not have social frailty. The proportions of age≥40 years old, language disorder, epileptic seizure, acute onset and abnormal cranial magnetic resonance imaging (MRI) in the social frailty group were higher than those in the control group (Multivariate logistic regression analysis was used to analyze the related factors of social frailty in patients with AE.P<0.05). Age≥40 years old, language disorder, acute onset, Abnormal cranial magnetic resonance imaging is a related factor for the occurrence of social frailty in patients with AE (P<0.05). The area under the curve of the logistic regression model for prediction was 0.851, suggesting that the model had good predictive value. Conclusion Age, language disorder, epileptic seizure, acute onset and cranial MRI abnormality are important risk factors of social frailty in patients with AE. The prediction model based on these factors exhibits good clinical application value.

Objective To investigate the activity concentrations of natural radionuclides in drinking water (tap water and well water) in urban and rural areas of Hohhot, assess the safety of drinking water, and to provide data support for local drinking water radioactivity monitoring and management. Methods Representative samples of well water and tap water were collected from nine banners/counties/districts in Hohhot. Activity concentrations were measured using a low-background gross α/β counter, an α spectrometer, inductively coupled plasma mass spectrometry, and a radium/radon analyzer. Results A total of nine tap water samples and nine well water samples were analyzed. For the tap water samples, gross α activity concentrations ranged from 0.093 to 0.193 Bq/L, gross β from 0.091 to 0.225 Bq/L, uranium mass concentrations from 2.32 to 10.36 μg/L, thorium mass concentrations from 0.09 to 0.20 μg/L,²¹⁰Po activity concentrations from below the minimum detectable limit to 0.41 mBq/L, and ²²⁶Ra activity concentrations from 8.70 to 13.35 mBq/L. For the well water samples, gross α activity concentrations ranged from 0.111 to 0.203 Bq/L, gross β from 0.111 to 0.270 Bq/L, uranium mass concentrations from 2.31 to 13.28 μg/L, thorium mass concentrations from 0.17 to 0.26 μg/L,²¹⁰Po activity concentrations from 1.03 to 2.12 mBq/L, and ²²⁶Ra activity concentrations from 15.38 to 23.63 mBq/L. Conclusion The activity concentrations of natural radionuclides in both well water and tap water in the Hohhot region were at environmental background levels and met national drinking water hygiene standards.

Liver cancer (LC) remains one of the most prevalent tumors globally. Despite considerable advancements in its clinical treatment in recent years, the global burden of this disease is projected to increase. According to World Health Organization statistics, the number of LC deaths worldwide in 2022 was 760,000, ranking third among all cancers. Therefore, there is an urgent need to delve deeper into the realms of LC diagnosis, prognosis, and treatment. Proteomics, as an emerging technology leveraging mass spectrometry (MS)-based protein identification, liquid chromatography separation, and bioinformatics-driven data integration, enables the systematic characterization of proteome dynamics to address critical challenges in LC research. These challenges include the discovery of diagnostic and prognostic biomarkers as well as therapeutic targets. By scrutinizing the expression of specific proteins in both normal and cancerous tissues through high-throughput protein microarrays, researchers can uncover novel biomarkers. The use of these biomarkers alone or in combination with established ones holds the potential to significantly advance the fields of LC diagnosis, prognosis, and treatment. In general, the application of proteomics has significantly promoted the development of LC research. In this review, we summarized the latest advancements in the application of proteomics in LC, with a particular focus on diagnosis, prognosis, and treatment. We also concluded selected protein markers, aiming to offer guidance for further applications and present additional therapeutic targets for LC.

Objective To construct nucleotide-binding oligomerization domain-like receptor protein 3(NLRP3)knockout mice in order to investigate the effects of NLRP3 knockout on radiation-induced acute pneumonitis and pulmonary fibrosis.Methods Nlrp3+/+and Nlrp3-/-mice were randomly divided into the control group and irradiation group.To induce radiation-caused acute pneumonitis,the control group was exposed to sham irradiation while the irradiation group was exposed to 60Co γ-rays at a dose of 22 Gy at a dose rate of 184.30 R/min.At 14 days post-irradiation,the body weight of each mouse and the wet weight of its lung tissue were measured separately using an analytical balance to calculate the lung coefficient.Quantitative real-time PCR(qPCR)and cytometric bead array(CBA)were used to detect inflammatory responses in lung tissues and serum.Hematoxylin-eosin(HE)staining and F4/80 immunohistochemical staining were used to assess pathological changes and inflammatory cell infiltration in lung tissues.Cysteinyl aspartate specific proteinase-1(caspase-1)activation was analyzed by Western blotting.To establish a model of radiation-induced pulmonary fibrosis,mice were irradiated with 60Co γ-rays at a dose of 18 Gy at a dose rate of 174.67 R/min.At 24 weeks post-irradiation,HE staining and Masson staining were performed to evaluate pulmonary fibrosis.Results NLRP3 knockout inhibited caspase-1 activation,reduced inflammatory responses in lung tissues and serum,suppressed macrophage infiltration,alleviated pulmonary edema,and thereby protected against acute radiation-induced lung injury.Additionally,NLRP3 knockout significantly ameliorated late-stage radiation-induced pulmonary fibrosis.Conclusion NLRP3 knockout can mitigate both early radiation-induced pneumonia and lateradiation-induced pulmonary fibrosis.

Objective To explore the role of dapansutrile(OLT1177)in radiation-induced intestinal injury and the mechanism.Methods C57BL/6J mice were locally irradiated in the abdomen with 60Co to induce a model of radiation-induced intestinal injury.OLT1177 was intraperitoneally injected at a dose of 100 mg/kg 2 hours before irradiation and 6 hours after irradiation before the drug was administered once a day.At 12 hours after irradiation,intestinal tissues were taken for terminal deoxynucleotidyl transferase mediated nick end labeling(TUNEL)staining to detect apoptosis in intestinal tissues.At 4 days after irradiation,mouse serum was collected to detect the levels of inflammatory factors in the serum.Hematoxylin-eosin(HE)stainingwas used for the evaluation of the damage to the intestinal villus structure.Immunohistochemical staining was adopted to detect the changes in crypt proliferation in intestinal tissues.Finally,proteins were isolated from intestinal tissues,and Western blotting was employed to evaluate the activation of nucleotide-binding oligomerization domain-like receptor protein 3(NLRP3)inflammasome.Results After irradiation,the intestinal villi in mice were shortened.Meanwhile,there was a notable declinein the number of cells that were proliferating in the crypts,a surge in the number of apoptotic cells,and a significant spike in the overall inflammatory level.However,administration of OLT1177 inhibited the activation of the NLRP3 inflammasome,reduced apoptosis and pyroptosis,decreased the inflammatory level,and thus improved radiation-induced intestinal injury.Conclusion Administration of OLT1177 can significantly mitigate radiation-induced intestinal injury.

ObjectiveThis study aims to develop and validate a novel multimodal predictive model， termed criss-cross network（CCNet）-directed graph neural network（DGNN）（CGN）， for accurate assessment of pulmonary nodule progression in high-risk individuals for lung cancer， by integrating longitudinal chest computed tomography（CT） imaging with both traditional Chinese and western clinical evaluation data. MethodsA cohort of 4 432 patients with pulmonary nodules was retrospectively analyzed. A twin CCNet was employed to extract spatiotemporal representations from paired sequential CT scans. Structured clinical assessment and imaging-derived features were encoded via a multilayer perceptron， and a similarity-based alignment strategy was adopted to harmonize multimodal imaging features across temporal dimensions. Subsequently， a DGNN was constructed to integrate heterogeneous features， where nodes represented modality-specific embeddings and edges denoted inter-modal information flow. Finally， model optimization was performed using a joint loss function combining cross-entropy and cosine similarity loss， facilitating robust classification of nodule progression status. ResultsThe proposed CGN model demonstrated superior predictive performance on the held-out test set， achieving an area under the receiver operating characteristic curve（AUC） of 0.830， accuracy of 0.843， sensitivity of 0.657， specificity of 0.712， Cohen's Kappa of 0.417， and F₁ score of 0.544. Compared with unimodal baselines， the CGN model yielded a 36%-48% relative improvement in AUC. Ablation studies revealed a 2%-22% increase in AUC when compared to simplified architectures lacking key components， substantiating the efficacy of the proposed multimodal fusion strategy and modular design. Incorporation of traditional Chinese medicine （TCM）-specific symptomatology led to an additional 5% improvement in AUC， underscoring the complementary value of integrating TCM and western clinical data. Through gradient-weighted activation mapping visualization analysis， it was found that the model's attention predominantly focused on nodule regions and effectively captured dynamic associations between clinical data and imaging-derived features. ConclusionThe CGN model， by synergistically combining cross-attention encoding with directed graph-based feature integration， enables effective alignment and fusion of heterogeneous multimodal data. The incorporation of both TCM and western clinical information facilitates complementary feature enrichment， thereby enhancing predictive accuracy for pulmonary nodule progression. This approach holds significant potential for supporting intelligent risk stratification and personalized surveillance strategies in lung cancer prevention.

Objective:To evaluate the technical feasibility and perioperative safety of pyeloplasty assis-ted by the CarinaTM modular laparoscopic surgical robotic system in patients with ureteropelvic junction obstruction(UPJO).Methods:From November to December 2024,five consecutive patients diagnosed with UPJO underwent robot-assisted pyeloplasty using the CarinaTM modular laparoscopic surgical system at Peking University First Hospital.Data on patient demographics,intraoperative parameters(including docking time,console time,and estimated blood loss),perioperative outcomes,follow-up results,and surgeons' subjective evaluations of system performance were prospectively collected.Descriptive statistics were used;continuous variables were presented as median(range),and categorical variables as frequen-cy and percentage.Results:The cohort included four females and one male.All the patients successfully completed the robotic procedure without conversion to open or conventional laparoscopic surgery.The me-dian age was 32 years(24-37 years),and the median body mass index was 21.6 kg/m2(15.8-27.3 kg/m2).The median docking time was 8 min(3-12 min),and the median console time was 91 min(71-125 min).Intraoperative blood loss was uniformly 20 mL.The median postoperative drainage du-ration was 3 d(0-4 d),and the median length of hospital stay was 4 d(4-9 d).No Clavien-Dindo grade Ⅲ or higher complications occurred.All the patients had their double-J stents removed at 2 months postoperatively,and pain in the ipsilateral flank,reported preoperatively by all the five patients,was al-leviated.The subjective surgical success rate was 100％.Surgeons reported stable system performance throughout all the procedures,with no instances of mechanical arm interference or visual drift affecting surgical fluency.Conclusion:Preliminary findings indicate that pyeloplasty using the domestically deve-loped CarinaTM modular laparoscopic robotic system is technically feasible and perioperatively safe for the treatment of UPJO.

Aim To explore the material basis and un-derlying mechanism of Qingre Huoxue Formula(QRHXF)in the treatment of non-small cell lung cancer(NSCLC)by applying network pharmacology,molecular docking technology and bioinformatics com-bined with animal experiments.Methods TCMSP,ECTM,and BATMAN databases were used to obtain active components and corresponding targets of QRHXF;GEO and DisGeNENT databases were con-ducted to acquire NSCLC-associated differential expres-sion genes.By intersecting them,the common targets were obtained.It was chosen to construct a herb-com-ponent-disease network and protein-protein interaction(PPI)network.Furthermore,DAVID database was used to perform gene ontology(GO)function and Kyo-to encyclopedia of genes and genomes(KEGG)path-way enrichment analyses.The molecular docking was presented by adopting Autodock Vina program to verify key targets.RNA-seq datawere downloaded from TC-GA database to obtain differential gene expression.Ka-planMeier(KM)analysis was performed to analyze the relationship between gene expression and overall sur-vival.Mouse subcutaneous tumor model of LLC was established.The effects of QRHXF on body weight,tumor volume and weight were monitored for pharmaco-dynamic analysis.Tumor tissues slides were stained with hematoxylin and eosin(HE)for histopathological examination.Immunohistochemistry(IHC)staining was employed for detecting Ki67 and EP300.Western blot was performed to measure the protein expression of TP53,CDK1 and NTRK1.Results The results of net-work pharmacology showed that a total of seven com-mon targets were screened from NSCLC and QRHXF,and the effect of QRHXF on anti-NSCLC may occur via multiple signaling pathways,including cell cycle.The results of molecular docking indicated that the main ac-tive components of QRHXF had low binding energy and stable docking conformation with the molecular target for treating NSCLC.According to bioinformatic analy-sis,there were significant differences in BRCA1,CDK1 and NTRK1 mRNA expression between tumor tissues and normal tissues,which were also prognostic factors for overall survival.Animal experimental research showed QRHXF inhibited subcutaneous tumor growth(P＜0.01)and improved the quality of life in mice with NSCLC.After QRHXF intervention,the density of tumor cells was significantly reduced,and necrotic are-as were increased.The expressions of Ki67 and EP300 were significantly decreased.Compared with the model group,Western blot showed up-regulation of TP53 and NTRKA(P＜0.05),whereas CDK1 were down-regu-lated(P＜0.05).Conclusion QRHXF exerted anti-NSCLC effects by regulating NTRK1,EP300,TP53,CDK1 and inducing cell cycle,cell cycle arrest and in-hibiting tumor growth,metastasis and angiogenesis.