Objective: To investigate the prevalence of overweight and obesity among children and adolescents in Yangzhou City, and its association with screen behaviors, so as to provide scientific evidence for weight management among students. Methods: In May 2025, an electronic questionnaire survey was conducted among children and adolescents in Yangzhou City. A total of 3 722 participants were selected from grades 4 to 12 in 18 primary and secondary schools (108 classes) by using stratified cluster random sampling. The Chi square test was used to compare the differences in the detection rates of overweight and obesity among children and adolescents with 5 types of screen behaviors (watching TV, playing electronic games, scrolling short videos, screen based learning, electronic socializing) in different time groups each day (never, >0~<2 h, ≥2 h). Multivariate Logistic regression analysis was performed to examine the associations of five types of screen behaviors, presence of electronic devices in the bedroom, and screen use during meals on the weight status of children and adolescents. Results: The prevalence of overweight and obesity among children and adolescents was 37.3%. For all five types of screen behaviors, the differences in the distribution of overweight and obesity detection rates among children and adolescents across the three time spent categories were statistically significant ( χ 2=30.76- 70.78 , all P <0.01). After adjusting for confounding factors, multivariate Logistic regression analysis revealed that frequent or always using screens during meals( OR =1.63, 95％ CI =1.14~2.31), playing video games ( OR =1.28, 95% CI =1.11-1.48), browsing short videos ( OR =1.29, 95％ CI=1.09-1.54), and screen based learning ( OR =1.26, 95％ CI =1.10-1.44) were significantly associated with overweight and obesity among children and adolescents (all P <0.05). Conclusions Excessive screen use is positively correlated with the incidence of overweight and obesity in children and adolescents. Targeted interventions on screen behaviors among children and adolescents are therefore warranted.

Piezo is a newly discovered mechanosensitive ion channel (MSC) in mammals, characterized by a unique homotrimeric three-leaf propeller-shaped structure that converts mechanical signals into biological and electrical signals, thus participating in the regulation of various physiological and pathological processes. In recent years, an increasing number of studies have demonstrated the crucial role of Piezo channel in renal physiology and pathophysiology. This article aims to provide new perspectives and targets for the prevention and treatment of renal diseases by reviewing the recent research advances in the structure, kinetics and pharmacology of Piezo channel, especially their expression and physiopathologic roles in the kidney.

Objective:To evaluate the value of acid-base indicators and strong ion gap (SIG) in the prognostic diagnosis of patients with acute paraquat poisoning (APP).Methods:The medical records of 78 APP patients admitted to the First People′s Hospital of Lianyungang from March 2021 to March 2024 were analyzed retrospectively. The patients were divided into the death group ( n=56) and the survival group ( n=22) according to their prognosis. Clinical data, acid-base indicators, and SIG levels were compared between the two groups. Logistic regression analysis was used to identify the influencing factors of prognosis in APP patients and construct a nomogram. Receiver operating characteristic (ROC) curve was established to analyze the diagnostic value of combined acid-base indicators and SIG for the prognosis of APP patients. Results:There were no statistically significant differences in gender, age, body mass index, time from poisoning to treatment, history of diabetes, or history of hypertension between the two groups (all P>0.05). The levels of anion gap (AG), bicarbonate ion (HCO 3-), lactic acid (Lac), and SIG in the death group were higher than those in the survival group (all P<0.05). Logistic regression analysis showed that AG, HCO 3-, Lac, and SIG levels were influencing factors for the prognosis of APP patients (all P<0.05). ROC curve results indicated that the area under the curve (AUC) of AG, HCO 3-, Lac, and SIG combined in predicting the prognosis of APP patients was significantly higher than that of single prediction. Conclusions:Acid-base indicators and SIG have good diagnostic value for the prognosis of APP patients.

This paper aims to discuss the construction and promotion strategy of medical care capacity framework based on the core literacy of palliative care， combining domestic and foreign research and clinical status. The research results show that it is particularly important to construct a framework of medical care competence based on palliative care. The core competencies required for palliative care include the ability to comprehensively evaluate and formulate personalized programs， effective communication skills， interdisciplinary teamwork skills， and the ability to continuously learn and improve themselves. The quality of care can be further improved if the above abilities are incorporated into the framework of medical care ability based on palliative care. However， there are a series of problems in the process of constructing the framework of palliative medical care capacity， such as difficult implementation of policy support， poor professionalism of talent team， single and irregular service model， low social acceptance， and difficult interdisciplinary cooperation and resource integration. After a detailed analysis of the problems， this paper puts forward the countermeasures to construct the framework of caring ability literacy based on palliative care. Effective countermeasures such as increasing policy support， cultivating comprehensive talents， developing diversified palliative care models， improving social recognition， and strengthening interdisciplinary cooperation and resource integration can effectively improve the core literacy and professional ability of medical care personnel， and then promote the development and improvement of palliative care services. In-depth discussion of the above contents can provide scientific reference for building a care model and literacy framework with palliative care as the core.

Objective To explore the efficiency improvement in segmenting neural network with the application of Transformer + U-Net artificial intelligence (AI) and modeling with the application of Python scripts in three-dimensional (3D) printing brachytherapy. Methods A Transformer + U-Net AI neural network model was constructed, and Adam optimizer was used to ensure rapid gradient descent. Computed tomography or magnetic resonance imaging data of patients were standardized and processed as self-made data sets. The training set was used to train AI and the optimal result weight parameters were saved. The test set was used to evaluate the AI ability. Python programming language was used to write an automated script to obtain the output segmentation image and convert it to the STL file for import. The source applicator and needle could be automatically modeled. The time of automatic segmentation and modeling and the time of manual segmentation and modeling were entered by two people, and the difference was verified by paired t-test. Results Dice similarity coefficient (DSC), mean intersection over union (MIOU), and Hausdorff distance (HD95) were used for evaluation. DSC was 0.9341, MIOU was 0.8762, and mean HD95 was 2.516. The mean time of manual segmentation was 1187 s, and the mean time of AI segmentation was 145 s (P < 0.01). The mean time of manual modeling was 321 s, and the mean time of modeling with Python automated scripts was 18 s (P < 0.01). Conclusion The application of Transformer + U-Net automatic segmentation and Python automated scripts can effectively improve work efficiency in the 3D printing brachytherapy for cervical cancer.

AIM:To observe the effect of the plus power ring zone(PPRZ)area and distribution on myopia progression.METHODS:This retrospective study enrolled 137 pre-teens aged 8-12 at Taiyuan Aier Eye Hospital between 2019 and 2021. They were fitted with Ortho-K lenses for the first time due to refractive error, with a one-year follow-up period. To indicate the peripheral plus ring zone overlapping with the pupil zone(PPROPZ)accompanying PPRZ, participants were divided based on the PPROPZ to PPRZ ratio. The experimental group had 103 eyes with a PPROPZ to PPRZ ratio of ≥0.2, and the control group had 103 eyes with a ratio of <0.2. Participants had a spherical diopter in the range of -6.00 D to -0.75 D, against-the-rule astigmatism less than 1.00 D, with-the-rule astigmatism less than 1.50 D, and corneal curvatures of 39.00 D to 46.00 D. They had a stable best corrected visual acuity of 0.10 LogMAR(20/25)or better when wearing orthokeratology(Ortho-K)lenses. PPRZ and PPROPZ were measured using ImageJ; corneal topography assessed corneal-related parameters, and an optical biometer measured the axial length of the eyes pre and post-one years of lens wear.RESULTS: Changes in axial length elongation were found to decrease when either the PPRZ(P<0.01)or PPROPZ(P<0.001)was increased significantly. The axial length growth was faster in the control group(0.37±0.2 mm)than in the experimental group(0.21±0.11 mm). Furthermore, we found that a larger horizontal visible iris diameter(HVID)corresponded to slower axial growth of the eye. In contrast, axial length growth showed no correlation with surface regularity index(SRI), surface asymmetry index(SAI), flat keratometry value(Kf), steep keratometry value(Ks).CONCLUSION:For orthokeratology, wearers with larger PPROPZ to PPRZ ratio usually experiences a reduction in axial length growth. The PPRZ and PPROPZ are negatively correlated with the axial length. Our findings provide a recommendation and methods for studying the myopia control mechanism through Ortho-K lenses.

Objective To explore the symptom clusters in renal transplant recipients and con-struct a concurrent symptom network to identify core symptoms.Methods A total of 343 patients with followed up after renal transplantation were selected as the study subjects.A general information questionnaire and the Chinese version of the Modified Transplant Symptom Occurrence and Symptom Distress Scale were employed to analyze the occurrence of symptoms in patients.In this study,only symptoms with an incidence rate greater than 20％and Spearman correlation coefficient greater than 0.40 between symptom severity and total score were retained.Exploratory factor analysis was used to extract symptom clusters with a factor loading of ≥0.45 as the criterion.The R language was utilized to construct symptom network,based on which core symptoms and bridge symptoms were identified.Results A total of 5 symptom clusters were extracted in this study:the neuro-gastrointestinal symp-tom cluster,the mood-related symptom cluster,the hormone-related symptom cluster,the energy de-ficiency symptom cluster and the vision-related symptom cluster.The core symptoms were anxiety(rs=1.75),mood swings(rs=1.50)and muscle weakness(rs=1.27).The top three symptoms in terms of bridge strength were muscle weakness(rb=0.87),lack of vitality(rb=0.66)and fa-tigue(rb=0.65).Conclusion Multiple symptoms are presented in patients after renal transplanta-tion.Based on the results of symptom network analysis,clinicians can strengthen the assessment of core symptoms and bridge symptoms to develop precise intervention strategies and improve the effectiveness of symptom management.

Computational approaches,encompassing both physics-based and machine learning(ML)methodolo-gies,have gained substantial traction in drug repurposing efforts targeting specific therapeutic entities.The human dopamine(DA)transporter(hDAT)is the primary therapeutic target of numerous psychi-atric medications.However,traditional hDAT-targeting drugs,which interact with the primary binding site,encounter significant limitations,including addictive potential and stimulant effects.In this study,we propose an integrated workflow combining virtual screening based on weighted holistic atom localization and entity shape(WHALES)descriptors with in vitro experimental validation to repurpose novel hDAT-targeting drugs.Initially,WHALES descriptors facilitated a similarity search,employing four benztropine-like atypical inhibitors known to bind hDAT's allosteric site as templates.Consequently,from a compound library of 4,921 marketed and clinically tested drugs,we identified 27 candidate atypical inhibitors.Subsequently,ADMETlab was employed to predict the pharmacokinetic and toxi-cological properties of these candidates,while induced-fit docking(IFD)was performed to estimate their binding affinities.Six compounds were selected for in vitro assessments of neurotransmitter re-uptake inhibitory activities.Among these,three exhibited significant inhibitory potency,with half maximal inhibitory concentration(IC50)values of 0.753 μM,0.542 μM,and 1.210 μM,respectively.Finally,molecular dynamics(MD)simulations and end-point binding free energy analyses were con-ducted to elucidate and confirm the inhibitory mechanisms of the repurposed drugs against hDAT in its inward-open conformation.In conclusion,our study not only identifies promising active compounds as potential atypical inhibitors for novel therapeutic drug development targeting hDAT but also validates the effectiveness of our integrated computational and experimental workflow for drug repurposing.

Vein graft(VG)failure(VGF)is associated with VG intimal hyperplasia,which is characterized by abnormal accumulation of vascular smooth muscle cells(VSMCs),Most neointimal VSMCs are derived from pre-existing VSMCs via a process of VSMC phenotypic transition,also known as dedifferentiation.There is increasing evidence to suggest that ginger or its bioactive ingredients may block VSMC dedif-ferentiation,exerting vasoprotective functions;however,the precise mechanisms have not been fully characterized.Therefore,we investigated the effect of ginger on VSMC phenotypic transition in VG remodeling after transplantation.Ginger significantly inhibited neointimal hyperplasia and promoted lumen(L)opening in a 3-month VG,which was primarily achieved by reducing ferroptotic stress.Fer-roptotic stress is a pro-ferroptotic state.Contractile VSMCs did not die but instead gained a proliferative capacity and switched to the secretory type,forming neointima(NI)after vein transplantation.Ginger and its two main vasoprotective ingredients(6-gingerol and 6-shogaol)inhibit VSMC dedifferentiation by reducing ferroptotic stress.Network pharmacology analysis revealed that 6-gingerol inhibits fer-roptotic stress by targeting P53,while 6-shogaol inhibits ferroptotic stress by targeting 5-lipoxygenase(Alox5),both promoting ferroptosis.Furthermore,both ingredients co-target peroxisome proliferator-activated receptor gamma(PPARγ),decreasing PPARγ-mediated nicotinamide adenine dinucleotide phosphate(NADPH)oxidase 1(Nox1)expression.Nox1 promotes intracellular reactive oxygen species(ROS)production and directly induces VSMC dedifferentiation.In addition,Nox1 is a ferroptosis-promoting gene that encourages ferroptotic stress production,indirectly leading to VSMC dedifferenti-ation.Ginger,a natural multi-targeted ferroptotic stress inhibitor,finely and effectively prevents VSMC phenotypic transition and protects against venous injury remodeling.

Vein graft (VG) failure (VGF) is associated with VG intimal hyperplasia, which is characterized by abnormal accumulation of vascular smooth muscle cells (VSMCs). Most neointimal VSMCs are derived from pre-existing VSMCs via a process of VSMC phenotypic transition, also known as dedifferentiation. There is increasing evidence to suggest that ginger or its bioactive ingredients may block VSMC dedifferentiation, exerting vasoprotective functions; however, the precise mechanisms have not been fully characterized. Therefore, we investigated the effect of ginger on VSMC phenotypic transition in VG remodeling after transplantation. Ginger significantly inhibited neointimal hyperplasia and promoted lumen (L) opening in a 3-month VG, which was primarily achieved by reducing ferroptotic stress. Ferroptotic stress is a pro-ferroptotic state. Contractile VSMCs did not die but instead gained a proliferative capacity and switched to the secretory type, forming neointima (NI) after vein transplantation. Ginger and its two main vasoprotective ingredients (6-gingerol and 6-shogaol) inhibit VSMC dedifferentiation by reducing ferroptotic stress. Network pharmacology analysis revealed that 6-gingerol inhibits ferroptotic stress by targeting P53, while 6-shogaol inhibits ferroptotic stress by targeting 5-lipoxygenase (Alox5), both promoting ferroptosis. Furthermore, both ingredients co-target peroxisome proliferator-activated receptor gamma (PPARγ), decreasing PPARγ-mediated nicotinamide adenine dinucleotide phosphate (NADPH) oxidase 1 (Nox1) expression. Nox1 promotes intracellular reactive oxygen species (ROS) production and directly induces VSMC dedifferentiation. In addition, Nox1 is a ferroptosis-promoting gene that encourages ferroptotic stress production, indirectly leading to VSMC dedifferentiation. Ginger, a natural multi-targeted ferroptotic stress inhibitor, finely and effectively prevents VSMC phenotypic transition and protects against venous injury remodeling.