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.

This study was aimed at investigating the immunoregulatory function of Mycobacterium tuberculosis Rv3641c gene in modulating host type Ⅰ interferon responses.The shuttle plasmid pMV261 was used to construct Rv3641c overexpression recombinant Mycobacterium smegmatis,and the biological characteristics of the recombinant bacteria were analyzed to explore the effect of Rv3641c on the growth curve,colony morphology and stress resistance of Mycobacterium.Subsequently,RAW264.7 cells were infected with Rv3641c overexpressing Mycobacterium smegmatis,and the transcriptional expression of genes related to the inhibition of type I inter-feron pathway was determined by RT-PCR.The expression level of IFN-βprotein was determined by ELISA,and the intracellular sur-vival level was determined.As a result,the recombinant rMS::pMV261-Rv3641c was successfully constructed.The results of biologi-cal characteristics analysis showed that Rv3641c did not affect the growth of mycobacteria,but significantly changed the colony mor-phology of mycobacteria and improved its resistance to H2O2.The results of recombinant bacteria infection experiments showed that Rv3641c significantly down-regulated the transcription levels of IFN-α,IFN-βand downstream ISGs genes CXCL10,IFIT2 and IL-1β in host cells,and Rv3641c significantly down-regulated the transcription levels of IFN-α,IFN-βand downstream ISGs genes CXCL10,IFIT2 and IL-1βin host cells.The results of intracellular colonization experiments showed that the intracellular mycobacte-ria in the overexpression recombinant bacteria infection group were significantly higher than those in the empty vector group,indicat-ing that Rv3641c could promote the intracellular surviv al of mycobacteria.In summary,the Rv3641c gene of M.tuberculosis can inhibit the host type I interferon response and promote the intracellular survival of M.tuberculosis,which provides a new idea for further explor-ing the immune escape function of M.tuberculosis and the discovery of new targets for anti-tuberculosis drugs.

Objective To evaluate the safety and efficacy of valve-in-valve transcatheter mitral valve replacement(ViV-TMVR)in patients with bioprosthetic valve degeneration who are at high surgical risk.Methods This study is a multi-center,retrospective cohort analysis of 20 consecutive patients who underwent transseptal ViV-TMVR using the Edwards SAPIEN 3 transcatheter heart valve(THV).The primary endpoints include technical success and procedural success,both defined according to the Mitral Valve Academic Research Consortium(MVARC)criteria,as well as mortality and functional change assessed based on New York Heart Association(NYHA)classification at 30-days and six months post-procedure.Clinical follow-up assessments are conducted at 30-days and six months.Results From February 2021 to October 2022,a total of 20 patients with symptoms of bioprosthetic valve degeneration were enrolled across nine sites in China.The patients had a mean age of(73.5±5.5)years,with 85.0％being females and 70.0％classified as NYHA class Ⅲ/Ⅳ.The study achieved a 100.0％technical success rate and a 90.0％procedural success rate finally.All patients remained alive during the 30-day follow-up period.However,six months post-intervention,two patients(10.0％)were re-hospitalized due to heart failure,and sadly,one of them(5.0％)died.None of the patients reported any adverse events related to ViV-TMVR during the follow-up period.Notably,there was a significant improvement in NYHA class compared to baseline(P=0.0004)at six-month follow-ups.Conclusions The transseptal ViV-TMVR technique proved to be highly successful and was associated with significant improvement in NYHA class function.These findings strongly suggest that it serves as a safe and efficient treatment alternative for high-risk patients suffering from bioprosthetic valve degeneration.

Objective To propose a dynamic electrical impedance tomography imaging algorithm based on complementary information fusion network(CIFN)to enhance image quality of dynamic electrical impedance imaging.Methods There were three modules for initialization,multi-frame complementary information extraction and information fusion involved in the CIFN.Firstly,multi-frame dynamic conductivity distribution images were obtained by the initialization module;secondly,spatial complementary information was extracted from the images by using the multi-frame complementary information extraction module;finally,the fusion of lesion target distribution information and target re-reconstruction were realized by the information fusion module to aquire high-quality EIT images.With a 16-electrode multilayer cranial simulation model,the CIFN-based imaging method was compared with Tikhonov regularization algorithm,spectral constraint algorithm and U-Net algorithm in terms of imaging results of types of lesions to verify its performance.Results Compared with the Tikhonov regularization algorithm,spectral constraint algorithm and U-Net algorithm,the proposed CIFN-based algorithm exhibited the lowest mean absolute error(MAE)and the highest structural similarity(SSIM)when used to image different lesion targets,which accurately reconstructed the distribution of lesion targets and gained high imaging stability under common noise levels.Conclusion The proposed CIFN-based imaging algorithm obtains high imaging quality on a cranial simulation model and reconstruction results close to the real model distribution,which provides algorithmic support for subsequent clinical studies on electrical impedance imaging.[Chinese Medical Equipment Journal,2025,46(6):1-6]

Objective:To investigate the pharmacological mechanism of Compound Xuanju Capsule in the treatment of erectile dysfunction(ED)by using network pharmacology and molecular docking technology.Methods:The active ingredients and targets of Compound Xuanju Capsule were screened using Traditional Chinese Medicine Systematic Pharmacology Database and Analysis Platform(TCMSP).TTD,OMIM,DrugBank and GeneCards databases were used to obtain genes related to ED,and the union of the results was taken as the disease genes of ED.The common target of drug and disease was taken as the potential target of Compound Xuanju Capsule in ED,and the drug-disease interaction network was constructed by using Cytoscape software.The protein-protein interaction(PPI)network was constructed by using String database,which was then imported into Cytoscape to identify the key target.Based on the drug-disease intersection genes,GO and KEGG enrichment analyses were performed to predict the relevant signaling pathways and molecular mechanisms of Compound Xuanju Capsule for the treatment of ED.Autodock software was used to perform molecular docking between the active ingredients and the core targets.Results:Forty chemical components of Compound Xuanju Capsule were screened,and 239 predicted targets were obtained.A total of 1 907 ED-related genes were screened,and 97 common targets were identified between Compound Xuanju Capsule and ED,among which the core targets included EGFR,ESR1,HIF1A,PTGS2,and STAT3.The signaling pathways obtained by KEGG enrichment analysis included calcium signaling pathway,HIF-1 signaling pathway,PI3K-Akt signaling pathway,cGMP-PKG signaling pathway,relaxin signaling pathway,Serotonergic synapse signaling pathway.The molecular docking results showed that there were molecular binding sites between the key active ingredients and the core targets with strong binding activity.Conclusion:Compound Xuanju Capsule may treat ED through multi-target pathways such as anti-inflamnmato-ry and improving cellular oxidative stress.

Objective To investigate the predictive value of edema metabolic and hematoma dynamics changes on motor and cog-nitive recovery outcomes in patients with intracerebral hemorrhage(ICH).Methods The CT data of ICH patients were collected to evaluate hematoma volume changes from admission to day 3.On day 3,multivoxel magnetic resonance spectroscopy(MRS)was per-formed with region of interest located in the edema region and contralateral normal tissue.Motor and cognitive function recovery was assessed using the simplified F-M scale and the Montreal cognitive assessment(MoCA)on day 3 and at the 3-month follow-up,respec-tively.Overall clinical outcomes were assessed using the Glasgow outcome scale(GOS),and all patients were divided into good and poor outcome groups.Clinical data and metabolic differences in the edema region between the two groups were compared,respec-tively.Logistic regression analysis and receiver operating characteristic(ROC)curves were used to identify and evaluate independent prognostic factors.Subgroup analysis were performed via stratification of hematoma location.Results The logistic regression analy-sis indicated that intraventricular extension,hematoma changes,and the ratio of N-acetyl aspartate(NAA)around the hematoma to contralateral normal brain parenchyma NAA(rNAA)were inde-pendent prognostic factors for poor outcomes(P＜0.05).The area under the curve(AUC)for each factor and the combined model were 0.69,0.73,0.79,and 0.82,respectively.In patients with ICH in the basal ganglia region,△F-M was negatively correlated with hematoma changes and positively correlated with rNAA value(P＜0.001).In patients with ICH in the thalamic and lobar regions,△MoCA was not significantly correlated with hematoma changes(P＞0.05),but was positively correlated with rNAA value(P＜0.001).Conclusion The rNAA holds predictive value for motor and cognitive recovery outcomes following standard treatment.