Objective: To analyze the associations of physical activity with overweight/obesity, depressive symptoms, and their co-occurrence among junior and senior high school students, so as to provide reference for optimizing physical activity intervention strategies and promoting healthy lifestyles. Methods: From March to November 2023, a cross sectional survey was conducted among 90 457 junior and senior high school students aged 11-18 years in Zhejiang Province using a stratified cluster random sampling method. Data on physical activity and dietary behavior were collected through questionnaires, height and weight were measured. Depressive symptoms were assessed using the Center for Epidemiologic Studies Depression Scale (CES-D). The Chi-square test was used to examine differences, and Logistic regression was applied to evaluate the associations of physical activity characteristics with overweight/obesity, depressive symptoms, and their co-occurrence. Additionally, the effectiveness of physical activity performed on rest days versus work days was examined. Results: The prevalence of overweight/obesity, depressive symptoms, and their co-occurrence among junior and senior high school students were 25.1%, 27.9%, and 6.7%, respectively, with significant sex differences ( χ 2=2 005.3, 587.7, 99.6, all P <0.01). Logistic regression analysis showed that students with insufficient physical activity had a higher risk of overweight/obesity compared with those with sufficient physical activity ( OR=1.12, 95%CI=1.06-1.17, P <0.01). Comparing to students who exercised 0-1 day per week, those who exercised 5-7 days per week were associated with a reduced risk of overweight/obesity and depressive symptoms ( OR=0.93, 95%CI =0.90-0.97; OR=0.95, 95%CI =0.91-0.99, both P <0.05). When total activity volume and frequency were held constant, students with sufficient rest day physical activity had lower risks of overweight/obesity, depressive symptoms, and their co-occurrence than those with insufficient rest day activity (all P < 0.01). Conclusions Sufficient amount of physical activity and higher frequency of rest day physical activity are significantly associated with lower risks of overweight/obesity, depressive symptoms, and their co-occurrence in adolescents. Physical activity performed on rest days may confer greater health benefits than activity performed on work days.

Objective To explore factors associated with early postoperative hormonal remission in patients with prolactinoma and to develop prediction models based on clinical and radiological features. Methods Data from 107 patients with prolactinoma who underwent transsphenoidal surgery at The First People’s Hospital of Huai’an, Nanjing Medical University between January 2020 and December 2024 was collected, included general clinical characteristics, preoperative laboratory indicators, and imaging features. Based on whether early postoperative prolactin (PRL) levels normalized, patients were divided into a remission group (n=76) and a non-remission group (n=31). Univariate logistic regression was used for preliminary evaluation of candidate variables, followed by LASSO regression for feature selection. Multiple machine learning models were constructed, including logistic regression, random forest, support vector machine, K-nearest neighbors, naive Bayes, decision tree, neural network, and gradient boosting decision tree (GBDT). All models were trained and evaluated using ten-fold cross-validation, with comprehensive assessment of model performance based on the area under the ROC curve (AUC), accuracy, sensitivity, specificity, precision, and F1 score. Results The maximum diameter of tumors in the non remission group was larger than that in the remission group (P=0.019), and the incidence of tumor stroke and preoperative PRL levels were significantly higher than those in the remission group (P＜0.001). Univariate analysis showed that sex, maximum tumor diameter, tumor stroke, and preoperative PRL levels were influencing factors for early postoperative hormone response in patients with prolactinoma (P＜0.05). The comparison results of machine learning models show that the neural network model performs the best (AUC=0.921) and has good clinical application value, followed by the GBDT model (AUC=0.893) and the support vector machine model (AUC=0.884). Other models also show certain predictive ability. Conclusions Sex, preoperative PRL levels, maximum tumor diameter, Hounsfield unit value, and tumor stroke are important factors affecting early hormone response after prolactinoma surgery. The machine learning model constructed based on the above variables has good predictive performance, and performs the best and has good clinical application value.

Objective:To evaluate the role of uncoupling protein 2 in dexmedetomidine-induced alleviation of myocardial ischemia-reperfusion (I/R) injury in diabetic mice.Methods:SPF C57BL/6 male mice, aged 6-8 weeks, weighing 20-25 g, in which the model of type 2 diabetes mellitus was established by high-fat feeding combined with intraperitoneal injection of streptozotocin, were used in this study. Ninety diabetic mice were divided into 5 groups ( n=18 each) by a random number table method: sham operation group (S group), myocardial I/R group, myocardial I/R+ UCP2 inhibitor genipin group (I/R+ G group), myocardial I/R+ dexmedetomidine group (I/R+ D group) and myocardial I/R+ dexmedetomidine+ UCP2 inhibitor genipin group (I/R+ DG group). Myocardial I/R injury model was established by ligating the left anterior descending coronary artery of diabetic mice for 60 min followed by 120 min of reperfusion. Dexmedetomidine 20 μg/kg was intraperitoneally injected at 5 min prior to reperfusion in I/R+ D group. Genipin 100 mg/kg was intraperitoneally injected at 14 h prior to ischemia, and dexmedetomidine 20 μg/kg was intraperitoneally injected at 5 min prior to reperfusion in I/R+ D+ G group. The concentrations of cardiac troponin I (cTnI), tumor necrosis factor-α (TNF-α), interleukin-6 (IL-6) and IL-10 in serum were detected by enzyme-linked immunosorbent assay at 120 min of reperfusion. The myocardial tissue was obtained for determination of the myocardial infarct size, the level of reactive oxygen species (ROS) (by flow cytometry), and the expression of UCP2, nuclear factor kappa B (NF-κB) inhibitory protein α (IκBα), phosphorylated IκBα (p-IκBα), NF-κB p65 and phosphorylated NF-κB p65 (p-NF-κB p65) (by Western blot) and for observation of the morphological structure of the myocardial tissue. The cardiac function was evaluated by echocardiography at 24 h of reperfusion. Results:Compared with group S, the percentage of myocardial infarct size and level of ROS were significantly increased, the concentrations of cTnI, TNF-α, IL-6 and IL-10 were increased, the expression of UCP2 was up-regulated, the p-IκBα/IκBα ratio and p-NF-κB p65/NF-κB p65 ratio were increased, the stroke volume (SV), ejection fraction (EF), and left ventricular fractional shortening (FS) were decreased ( P<0.05), and the myocardial structure was severely damaged in group I/R. Compared with group I/R, the percentage of myocardial infarct size and level of ROS were significantly decreased, the concentrations of cTnI, TNF-α and IL-6 were decreased, the concentration of IL-10 was increased, the expression of UCP2 was up-regulated, the p-IκBα/IκBα ratio and p-NF-κB p65/NF-κB p65 ratio were decreased, the SV, EF and FS were increased ( P<0.05), and the pathological damage was significantly attenuated in group I/R+ D. Compared with group I/R+ D, the percentage of myocardial infarct size and level of ROS were significantly increased, the concentrations of cTnI, TNF-α and IL-6 were increased, the concentration of IL-10 was decreased, the expression of UCP2 was down-regulated, the p-IκBα/IκBα ratio and p-NF-κB p65/NF-κB p65 ratio were increased, the SV, EF and FS were decreased ( P<0.05), and the pathological damage was aggravated in group I/R+ D+ G. Conclusions:Dexmedetomidine may ameliorate myocardial I/R injury by up-regulating UCP2 expression in the myocardium and inhibiting mitochondrial ROS-mediated inflammatory responses in diabetic mice.

Objective:To analyze the changing trends and international differences in the incidence and disability-adjusted life years (DALY) of hypertensive disorders in pregnancy (HDP) in China from 1990 to 2021 based on the Global Burden of Disease (GBD) database.Methods:The data were derived from the GBD database, covering the incidence and DALY data of HDP in countries or regions around the world. Descriptive statistics were used to compare the differences in disease burden between China and different regions of Europe, America and other developed countries, and to analyze the disease burden characteristics of women of childbearing age in different age groups (every 5 years). The Joinpoint regression model was used to identify trend change points. The age-period-cohort model was used to analyze the independent effects of age, period and birth cohort.Results:(1) From 1990 to 2021, the incidence of HDP in China showed an overall downward trend, from 387.18/100 000 in 1990 to 216.35/100 000 in 2021. Compared with the global incidence rate (1990: 1 167.28/100 000; 2021: 923.48/100 000), the incidence rate of HDP in China was relatively low, but it was still higher than that in some developed countries. (2) The analysis of the Joinpoint regression model showed that the incidence rate of HDP in different age groups first decreased, then increased, and finally leveled off. The connection point with the lowest point was in 2005. DALY showed a continuous downward trend in all age groups. Among them, the decline in maternal DALY of pregnant women in all age groups from 15 to 39 years old was more obvious. (3) The age-period-cohort effect model showed that the incidence rate and DALY of HDP in women of childbearing age aged 20 to 24 years reached their peak.Conclusions:The burden of HDP in China continues to decrease, and the disease prevention and control has achieved remarkable results, but the incidence rate is still higher than that in some developed countries. It is suggested that personalized interventions should be developed for different risk groups to further reduce the burden of disease.

Clinical prediction models, which utilize clinical data and statistical methods, aim to enhance the accuracy and efficiency of medical decision-making and improve patient health outcomes. These models play a crucial role in optimizing healthcare decisions and tailoring treatments to individual needs. However, many studies currently face systemic challenges during the development process, including unclear model design objectives, redundant model construction, lack of clinical relevance in variable selection, and irregular data preprocessing. These issues finally lead to reduced model performance and limited clinical applicability. To address these challenges, this study systematically reviews relevant literature, including articles from the BMJ, and draws on practical research experience to propose a structured preparation process. This process aims to provide a scientific guiding framework for model development, ensuring the efficiency of subsequent model construction and the accuracy of predictions, thus laying a foundation for the application and advancement of clinical prediction models.

Clinical prediction models are statistical tools that incorporate multiple variables to predict the likelihood of specific outcomes, by which the accuracy and efficiency of medical decision-making can be facilitated and patient health outcomes can be improved. However, many current studies face problems, such as model construction and reporting irregularities, as well as questionable reliability, which limit their clinical application of clinical prediction model. Therefore, this study systematically reviews relevant literatures, including publications from journals like BMJ, and outline the steps involved in constructing clinical prediction models based on practical research experience. It also provides an in-depth comparison of commonly used methods during the construction process and proposes a comprehensive guiding framework to help researchers in the field to better understand and master the core concepts and practical skills of clinical prediction models for the purpose of improving their professional capabilities in the development, validation, and application of clinical prediction models.

Post-acute pancreatitis diabetes mellitus (PPDM-A) is a common type of exocrine pancreatic diabetes. It is very important to clarify the risk factors of PPDM-A and effectively screen for diabetes in patients with acute pancreatitis to prevent the occurrence and development of PPDM-A. This article elaborates on the three aspects of PPDM-A, including high-risk population, screening timing and methods, as well as PPDM-A screening in children and adolescents, aiming to provide a basis for early detection of PPDM-A and timely targeted treatment for patients.

BACKGROUND:It has been confirmed that the mixing of decellularized matrix and polymer electrospinning can not only improve the structural properties of fibers,but also preserve the biological decellularized of decellularized matrix.However,there is no relevant report on the preparation of skin tissue engineering scaffolds by electrospinning polyurethane and decellularized skin matrix. OBJECTIVE:To investigate the reparative effect of a decellularized skin matrix/polyurethane blended fibrous scaffold on rat skin defects. METHODS:Polyurethane electrospun fibrous scaffold and decellularized skin matrix/polyurethane blended fibrous scaffold were fabricated using the electrospinning technique.The fiber structure was observed under scanning electron microscope.Rat adipose mesenchymal stem cells were inoculated on two kinds of scaffolds respectively.The morphology of the scaffolds was observed under scanning electron microscope.Three full-thickness skin defects of 1 cm×1 cm were fabricated on the back of 10 SD rats.Polyurethane electrospun fibrous scaffolds(control group)and decellularized skin matrix/polyurethane blended fibrous scaffolds(experimental group)were implanted in two of the defects,and no material was implanted in the remaining defects(blank control group).The skin wound healing was observed at 1,2,and 3 weeks after operation.At 3 weeks after implantation,the wound was stained with hematoxylin and eosin and the scar area was calculated. RESULTS AND CONCLUSION:(1)Under scanning electron microscope,the two kinds of electrospun fibers were reticulated,and the rat adipose mesenchymal stem cells attached to the fibers on the two kinds of scaffolds,and the adhesion was good.(2)With the extension of the postoperative time,the skin wounds of each group gradually healed.By week 3 after the operation,the skin wounds of the experimental group and the control group were basically healed,and small ulcers could be seen on the wounds of the blank control group.Hematoxylin-eosin staining of skin wounds showed that the epidermal coverage of the wound was basically complete in the control group and the experimental group,and fibroblast growth and inflammatory cell infiltration could be seen in the dermis.In addition,the collagen fibers of the wound in the experimental group were abundant and arranged in a regular order,basically parallel to the epidermal surface.The wound epidermis of blank control group was still defective.The scar area of the experimental group was smaller than that of the other two groups(P<0.05,P<0.01).(3)These results indicate that the decellularized skin matrix/polyurethane blended fibrous scaffold can effectively repair full-thickness skin defects and improve scar formation in rats.

Objective: Accurate evaluation of inflammation severity in ulcerative colitis (UC) can guide treatment strategy selection. The potential value of the pericolic fat attenuation index (FAI) on CT as an indicator of disease severity remains unknown.This study aimed to assess the diagnostic accuracy of pericolic FAI in predicting UC severity. Materials and Methods: This retrospective study enrolled 148 patients (mean age 48 years; 87 males). The fat attenuation on CT was measured in four different locations: the mesocolic vascular side (MS) and opposite side of MS (OMS) around the most severe bowel lesion, the retroperitoneal space (RS), and the subcutaneous area. The fat attenuation indices (FAI MS, FAI OMS, and FAI RS) were calculated as the fat attenuation measured in MS, OMS, and RS, respectively, minus that of the subcutaneous area, and were obtained in the non-enhanced, arterial, and delayed phases. Correlations between the FAI and UC Endoscopic Index of Severity (UCEIS) were assessed using Spearman’s correlation. Predictors of severe UC (UCEIS ≥7) were selected by univariable analysis. The performance of FAI in predicting severe UC was evaluated using the area under the receiver operating characteristic curve (AUC). Results: The FAIMS and FAI OMS scores were significantly higher than FAI RS in three phases (all P < 0.001). The FAIMS and FAI OMS scores moderately correlated with the UCEIS score (r = 0.474–0.649 among the three phases). Additionally, FAI MS and FAI OMS identified severe UC, with AUC varying from 0.77 to 0.85. Conclusion Increased CT attenuation of pericolic adipose tissue could serve as a noninvasive marker for evaluating UC severity. FAI MS and FAI OMS of three phases showed similar prediction accuracies for severe UC identification.

The mandibular condyle is a critical growth center in craniofacial bone development, especially during postnatal stages. Postnatal condyle osteogenesis requires precise spatiotemporal coordination of growth factor signaling cascades and hierarchical gene regulatory networks. Plagl1, which encodes a zinc finger transcription factor, is a paternally expressed gene. We demonstrate that PLAGL1 is highly expressed in cranial neural crest cell (CNCC)-derived lineage cells in mouse condyles. Using the CNCC-derived lineage-specific Plagl1 knockout mouse model, we evaluate the function of PLAGL1 during postnatal mouse condyle development. Our findings show that PLAGL1 contributes significantly to osteoblast differentiation, and its deficiency impairs osteogenic lineage differentiation, which consequently disrupts mandibular condyle development. Mechanistically, insulin-like growth factor 2 (IGF2) in complex with IGF-binding proteins (IGFBPs) has been identified as the principal PLAGL1 effector responsible for osteogenic regulation during postnatal condyle morphogenesis. Plagl1 deficiency significantly downregulates the IGF2/IGFBP pathway, leading to disordered glucose metabolism, defective extracellular matrix organization, and impaired ossification. Exogenous IGF2 treatment rescues impaired osteoblast differentiation caused by Plagl1 deficiency. In conclusion, the PLAGL1-IGF2 axis is a critical regulator of osteogenesis during mandibular condyle development.
Animals ; Osteogenesis/genetics* ; Insulin-Like Growth Factor II/metabolism* ; Mice ; Transcription Factors/metabolism* ; Mice, Knockout ; Cell Differentiation ; DNA-Binding Proteins/genetics* ; Mandibular Condyle/growth & development* ; Osteoblasts/cytology* ; Signal Transduction ; Neural Crest/cytology*