Objective: To explore relationship of sleep quality with overweight and obesity among middle school students, so as to provide a reference basis for improving adolescent sleep health. Methods: From September to December 2023, 5 713 middle school students aged 13 to 18 were selected by stratified cluster random sampling method in six regions, including Shanghai, Suzhou, Taiyuan, Wuyuan, Xingyi and Urumqi. Sleep quality survey was conducted on middle school students by Pittsburgh Sleep Quality Index. Height and weight were measured, and World Health Organization s standards for growth and development of children and adolescents was used to evaluate their nutritional status. Both χ 2 test and Logistic regression analysis were used to analyze the association between sleep quality and nutritional status of middle school students. Results: The non compliance detection rate of sleep quality was 38.4% among girls, but 29.2% among boys, and the difference was of statistical significance( χ 2=54.08, P < 0.01 ). The detection rate of substandard sleep quality was 34.2% in the group with normal nutritional status, 38.3% in the group with overweight, 43.7% in the group with obesity and 26.0% in the group with emaciation, and the difference in the rates of substandard sleep quality among middle school students of different nutritional status was statistically significant ( χ 2=68.15, P <0.01). Logistic regression analysis showed that, after controlling for mental health and physical activity, the detection rate of substandard sleep quality in the obese groups was 1.30 times higher than that in the normal group, respectively( OR =1.30, 95% CI =1.06- 1.59 , P <0.01). Conclusions Sleep quality is correlated with overweight and obesity among middle school students, and there are gender differences. Intervention policies should be formulated according to the characteristics of different genders.

Background The association between occupational physical activity (OPA) and cardiometabolic risk factors remains controversial, potentially due to differences in the associations between OPA and various cardiometabolic indicators, as well as the lack of a clearly defined optimal OPA range for multiple-indicator synergistic benefits. Objective To investigate the relationship between OPA and cardiometabolic risk factors in individuals at high risk of cardiovascular disease (CVD) in Hubei Province, and to explore an optimal OPA range for multi-indicator improvements. Methods Data were derived from the Hubei Province dataset of the China Health Evaluation And Risk Reduction Through Nationwide Teamwork from 2015 to 2023, including 19028 high-risk CVD individuals. OPA (metabolic equivalent·h·d⁻¹, MET·h·d⁻¹) was assessed using the China Kadoorie Biobank physical activity questionnaire, anthropometric measurements (height, weight, waist circumference) and cardiometabolic indicators (blood pressure, fasting blood glucose, lipid profiles) were measured. Multivariate logistic regression was used to analyze the association between logOPA quartiles (Q1-Q4) and abnormal cardiometabolic indicators, while restricted cubic spline (RCS) models were employed to explore their dose-response relationships. Subgroup and interaction analyses were also conducted by gender. Results The median OPA of all participants was 12.86 MET·h·d⁻¹ (male: 14.40 MET·h·d⁻¹, female: 11.14 MET·h·d⁻¹). After adjusting for confounders, compared with the Q1 group, logOPA in the Q4 group was associated with 20% (OR=0.80, 95%CI: 0.72, 0.89), 14% (OR=0.86, 95%CI: 0.78, 0.96), and 13% (OR=0.87, 95%CI: 0.79, 0.95) reduction in the risk of abdominal obesity, low high-density lipoprotein cholesterol (HDL-C), and metabolic syndrome (MS), respectively, and 33% (OR=1.33, 95%CI: 1.18, 1.49), 33% (OR=1.33, 95%CI: 1.18, 1.50), and 38% (OR=1.38, 95%CI: 1.21, 1.57) increase in the risk of high total cholesterol (TC), high low-density lipoprotein cholesterol (LDL-C), and high non-HDL-C, respectively. Similar trends were observed in males and females, with significant positive associations of logOPA with high TC and high non-HDL-C in males (P_interaction<0.05). The risk of low HDL-C decreased rapidly when logOPA was more than 2.213 (OPA>9.14 MET·h·d⁻¹), showing an inverted L-shaped trend. The risk of high TC, high LDL-C, and high non-HDL-C increased beyond logOPA thresholds of 3.244, 2.476, and 3.377 (OPA >25.64, 11.89, and 29.28 MET·h·d⁻¹), respectively, showing a J-shaped trend. However, logOPA exhibited a U-shaped nonlinear dose-response relationship with blood pressure and fasting blood glucose abnormalities (P_non-linear<0.05) , with minimal risks at logOPA 2.969 and 2.372 (OPA of 19.47 and 10.72 MET·h·d⁻¹). Conclusion OPA exhibits heterogeneous dose-response patterns across cardiometabolic indicators. Integrating the inverted L-, J-, and U-shaped association patterns, we suggest an optimal OPA range of 9.14−25.64 MET·h·d⁻¹ for multiple cardiometabolic indicators in total individuals at high-risk of CVD, with ranges of 9.61−31.34 MET·h·d⁻¹ for males and 8.97−22.87 MET·h·d⁻¹ for females. These findings provide critical evidence for developing OPA interventions strategies targeting high-risk population for CVD.

Objective To investigate the influencing factors of adverse pregnancy outcomes in patients with preeclampsia and the predictive value of serum trace elements in the second trimester.Methods A total of 98 patients with preeclampsia admitted to Qujing First People's Hospital from January 2019 to June 2022 were enrolled in the study.Patients were divided into poor outcome group and good outcome group according to whether they had adverse pregnancy outcomes.The clinical data of all patients enrolled in the study were col-lected and the serum levels of trace elements calcium,copper,zinc and iron were detected in the second trimes-ter.Univariate analysis and multivariate Logistic regression were used to analyze the influencing factors of ad-verse pregnancy outcomes in patients with preeclampsia.The levels of serum trace elements in the second tri-mester of pregnancy were compared between the poor outcome group and the good outcome group.The re-ceiver operating characteristic(ROC)curve was used to evaluate the predictive value of serum trace elements calcium,copper,zinc and iron for adverse pregnancy outcomes in patients with preeclampsia.Results Univari-ate analysis showed that compared with the good outcome group,the poor outcome group had significantly higher systolic blood pressure,24 h urinary protein quantitation,and D-dimer level(P＜0.05)and significantly less gestational age and platelet count at admission(P＜0.05).Multivariate Logistic regression analysis showed that 24 h urinary protein quantification,D-dimer and platelet count were the influencing factors of ad-verse pregnancy outcomes in patients with preeclampsia(P＜0.05).The levels of serum trace elements calci-um,copper,and zinc in the poor outcome group were significantly lower than those in the good outcome group(P＜0.05),and the level of iron was significantly higher than that in the good outcome group(P＜0.05).ROC curve analysis showed that the areas under the curves(AUCs)of serum calcium,copper,zinc,and iron in the second trimester of pregnancy for predicting adverse pregnancy outcomes in preeclampsia patients were 0.830(95％CI:0.780-0.880),0.855(95％CI:0.805-0.905),0.847(0.797-0.897)and 0.861(95％CI:0.811-0.911),respectively.Conclusion Adverse pregnancy outcomes in patients with preeclampsia are re-lated to 24 h urine protein,D-dimer and platelet count.The levels of serum trace elements calcium,copper,zinc and iron in the second trimester of pregnancy change significantly in patients with adverse pregnancy out-comes,which may become predictive markers of adverse pregnancy outcomes.

BACKGROUND:Establishing a nomogram prediction model for postoperative pulmonary infection in hip fractures and taking early intervention measures is crucial for improving patients'quality of life and reducing medical costs. OBJECTIVE:To construct a nomogram risk prediction model of postoperative pulmonary infection in elderly patients with hip fracture,and provide theoretical basis for feasible prevention and early intervention. METHODS:Case data of 305 elderly patients with hip fractures who underwent surgical treatment at Wuxi Traditional Chinese Medicine Hospital Affiliated to Nanjing University of Chinese Medicine between January and October 2020(training set)were retrospectively analyzed.Using univariate and multivariate logistic regression analysis and Hosmer-Lemeshow goodness of fit test,receiver operating characteristic curve was utilized to analyze the diagnostic predictive efficacy of independent risk factors and joint models for postoperative pulmonary infections.Tools glmnet,pROC,and rms in R Studio software were applied to construct a nomogram model for predicting the risk of postoperative pulmonary infection in elderly patients with hip fractures,and calibration curves were further drawn to verify the predictive ability of the nomogram model.Receiver operating characteristic curves,calibration curves,and decision curves were analyzed for 133 elderly patients with hip fractures(validation set)receiving surgery at the same hospital from November 2022 to March 2023 to further predict the predictive ability of the nomogram model. RESULTS AND CONCLUSION:(1)The postoperative pulmonary infection rate in elderly patients with hip fractures in this group was 9.18%(28/305).(2)Single factor and multivariate analysis,as well as forest plots,showed that preoperative hospitalization days,leukocyte count,hypersensitive C-reactive protein,and serum sodium levels were independent risk factors(P<0.05).The Hosmer-Lemeshow goodness of fit test showed good fit(χ2=4.57,P=0.803).Receiver operating characteristic curve analysis was conducted on the independent risk factors and their joint models mentioned above,and the differentiation of each independent risk factor and joint model was good,with statistical significance(P<0.05).(3)The graphical calibration method,C-index,and decision curve were used to validate the nomogram prediction model.The predicted calibration curve was located between the standard curve and the acceptable line,and the predicted risk of the nomogram model was consistent with the actual risk.(4)The validation set used receiver operating characteristic curve,graphic calibration method,and decision curve to validate the prediction model.The results showed good consistency with clinical practice,indicating that the model had a good fit.The nomogram risk prediction model constructed for postoperative pulmonary infection in elderly patients with hip fractures has good predictive performance.The use of the nomogram risk prediction model can screen high-risk populations and provide a theoretical basis for early intervention.

[摘 要] 目的：探究雷公藤甲素（TPL）通过miR-34b-5p调控Notch1表达对骨肉瘤U2OS细胞铁死亡影响的机制。方法：常规培养U2OS细胞，将其分为对照组、TPL（10 μmol/L）组、TPL（10 μmol/L）+Fer-1（铁死亡抑制剂，20 μmol/L） 组、miR-NC组、miR-34b-5p组、miR-34b-5p+Fer-1（20 μmol/L）组、TPL（10 μmol/L）+anti-miR-34b-5p组、anti-miR-34b-5p+Fer-1（20 μmol/L）组。qPCR法、CCK-8法、铁离子检测试剂、DHE-荧光探针和WB法分别检测各组U2OS细胞中miR-34b-5p的表达、增殖能力、Fe2+水平、ROS水平以及铁死亡相关蛋白（GPX4、SLC7A11及Notch1蛋白）的表达，双萤光素酶报告基因实验验证miR-34b-5p与Notch1的靶向结合关系。结果： TPL可促进U2OS细胞中miR-34b-5p表达，Fer-1和anti-miR-34b-5p则抑制miR-34b-5p的表达（均P<0.05）。TPL明显抑制U2OS细胞的增殖、GPX4、SLC7A11、Notch1蛋白的表达、增加细胞中Fe2+和ROS的含量，Fer-1可逆转TPL对U2OS细胞的作用（均P<0.05）。过表达miR-34b-5p与TPL对U2OS细胞的作用相似（均P<0.05）。miR-34b-5p可靶向结合Notch1（均P<0.05）。miR-34b-5p抑制剂可明显抑制TPL对U2OS细胞的影响，Fer-1可增强miR-34b-5p抑制剂的作用（均P<0.05）。结论：TPL可抑制U2OS细胞的增殖能力并促进其铁死亡，其作用机制可能与miR-34a-5p靶向调节Notch1表达有关。

Eye diagnosis is a method for inspecting systemic diseases and syndromes by observing the eyes.With the development of intelligent diagnosis in traditional Chinese medicine(TCM),artificial intelligence(AI)can improve the accuracy and efficiency of eye diagnosis.However,the research on intelligent eye diagnosis still faces many challenges,including the lack of standardized and precisely labeled data,multi-modal information analysis,and artificial in-telligence models for syndrome differentiation.The widespread application of AI models in medicine provides new insights and opportunities for the research of eye diagnosis intelli-gence.This study elaborates on the three key technologies of AI models in the intelligent ap-plication of TCM eye diagnosis,and explores the implications for the research of eye diagno-sis intelligence.First,a database concerning eye diagnosis was established based on self-su-pervised learning so as to solve the issues related to the lack of standardized and precisely la-beled data.Next,the cross-modal understanding and generation of deep neural network models to address the problem of lacking multi-modal information analysis.Last,the build-ing of data-driven models for eye diagnosis to tackle the issue of the absence of syndrome dif-ferentiation models.In summary,research on intelligent eye diagnosis has great potential to be applied the surge of AI model applications.

Objective To investigate the effect of Jisuikang formula-medicated serum for promoting spinal cord injury (SCI) repair in rats and explore the possible mechanism. Methods Thirty adult SD rats were randomized into sham-operated group, SCI (induced using a modified Allen method) model group, and Jisuikang formula-medicated serum treatment group. After the operations, the rats were treated with normal saline or Jisuikang by gavage on a daily basis for 14 days, and the changes in hindlimb motor function of the rats was assessed with Basso-Beattie-Bresnahan (BBB) scores and inclined-plate test. The injured spinal cord tissues were sampled from the SCI rat models for single-cell RNA sequencing, and bioinformatics analysis was performed to identify the target genes of Jisuikang, spinal cord injury and glycolysis. In the cell experiment, cultured astrocytes from neonatal SD rat cortex were treated with SOX2 alone or in combination with Jisuikang-medicated serum for 21 days, and the protein expressions of PKM2, p-PKM2 and YAP and colocalization of PKM2 and YAP in the cells were analyzed with Western blotting and immunofluorescence staining, respectively. Results The SCI rats with Jisuikang treatment showed significantly improved BBB scores and performance in inclined-plate test. At the injury site, high PKM2 expression was detected in various cell types. Bioinformatic analysis identified the HIPPO-YAP signaling pathway as the target pathway of Jisuikang. In cultured astrocytes, SOX2 combined with the mediated serum, as compared with SOX2 alone, significantly increased PKM2, p-PKM2 and YAP expressions and entry of phosphorylated PKM2 into the nucleus, and promoted PKM2 and YAP co-localization in the cells. Conclusion Jisuikang formula accelerates SCI repair in rats possibly by promoting aerobic glycolysis of the astrocytes via activating the PKM2/YAP axis to induce reprogramming of the astrocytes into neurons.

Objective:To compare the consistency of lymphoma multigene detection panels based on next-generation sequencing (NGS) with FISH detection of B-cell lymphoma gene rearrangement.Methods:From January 2019 to May 2023, fusion genes detected by lymphoma-related 413 genes that targeted capture sequencing of 489 B-cell lymphoma tissues embedded in paraffin were collected from Henan Cancer Hospital, and the results were compared with simultaneous FISH detection of four break/fusion genes: BCL2, BCL6, MYC, and CCND1. Consistency was defined as both methods yielding positive or negative results for the same sample. The relationship between fusion mutation abundance in NGS and the positivity rate of cells in FISH was also analyzed.Results:Kappa consistency analysis revealed high consistency between NGS and FISH in detecting the four B-cell lymphoma-related gene rearrangement ( P<0.001 for all) ; however, the detection rates of positive individuals differed for the four genes. Compared with FISH, NGS demonstrated a higher detection rate for BCL2 rearrangement, a lower detection rate for BCL6 and MYC rearrangement, and a similar detection rate for CCND1 rearrangement. No correlation was found between fusion mutation abundance in NGS and the positivity rate of cells in FISH. Conclusions:NGS and FISH detection of B-cell lymphoma gene rearrangement demonstrate overall good consistency. NGS is superior to FISH in detecting BCL2 rearrangement, inferior in detecting MYC rearrangement, and comparable in detecting CCND1 rearrangement.

Objective To investigate the effect of Jisuikang formula-medicated serum for promoting spinal cord injury (SCI) repair in rats and explore the possible mechanism. Methods Thirty adult SD rats were randomized into sham-operated group, SCI (induced using a modified Allen method) model group, and Jisuikang formula-medicated serum treatment group. After the operations, the rats were treated with normal saline or Jisuikang by gavage on a daily basis for 14 days, and the changes in hindlimb motor function of the rats was assessed with Basso-Beattie-Bresnahan (BBB) scores and inclined-plate test. The injured spinal cord tissues were sampled from the SCI rat models for single-cell RNA sequencing, and bioinformatics analysis was performed to identify the target genes of Jisuikang, spinal cord injury and glycolysis. In the cell experiment, cultured astrocytes from neonatal SD rat cortex were treated with SOX2 alone or in combination with Jisuikang-medicated serum for 21 days, and the protein expressions of PKM2, p-PKM2 and YAP and colocalization of PKM2 and YAP in the cells were analyzed with Western blotting and immunofluorescence staining, respectively. Results The SCI rats with Jisuikang treatment showed significantly improved BBB scores and performance in inclined-plate test. At the injury site, high PKM2 expression was detected in various cell types. Bioinformatic analysis identified the HIPPO-YAP signaling pathway as the target pathway of Jisuikang. In cultured astrocytes, SOX2 combined with the mediated serum, as compared with SOX2 alone, significantly increased PKM2, p-PKM2 and YAP expressions and entry of phosphorylated PKM2 into the nucleus, and promoted PKM2 and YAP co-localization in the cells. Conclusion Jisuikang formula accelerates SCI repair in rats possibly by promoting aerobic glycolysis of the astrocytes via activating the PKM2/YAP axis to induce reprogramming of the astrocytes into neurons.

Objective:To evaluate the application of modular teaching program in the clinical competence training for community general practitioners.Methods:This was a cross-sectional study. A 140 teaching hour-modular training program was designed by the authors on the basis of the previous training experience and conducted in clinical competence training for 20 general practitioners (study group) from all 10 community health service centers in Shanghai Huangpu district between September 2022 and April 2023; and 26 general practitioners who planned to participate in the next batch of training courses were enrolled as the control group. The clinical competence assessment was conducted in May 2023, including knowledge level tests and clinical skill assessment. By comparing the scores of clinical competence assessment and satisfaction survey between two groups, the training effectiveness was evaluated.Results:Among the 46 general practitioners, 33 (71.7%) were female, aged 27 to 47 (37±6), working in general practice for 2 to 25 (9.4±5.5) years, 31 (67.4%) had participated in standardized residency training for general practice and 31 (67.4%) were contracted family doctors. The total score of 46 general practitioners was 69.7±9.6, and 68.9±8.6 for knowledge level and 69.8±10.6 for clinical skills. The total scores and single scores of trained participants were all significantly higher than those of untrained(all P<0.05). The multiple linear regression model showed that after controlling for gender, age, educational background, professional title, years of working in general practice, participation in standardized residency training, and status as a contracted family doctor, the trained participants had significantly higher scores in history collection, pediatric reception, indwelling gastric tube and abdominal puncture (all P<0.05). There was no statistically significant difference in the scores in knowledge level test, nervous system physical examination, SOAP medical record writing, and tutorium between the trained and untrained groups (all P>0.05). Among 20 general practitioners who completed training, the overall satisfaction score of the training program was 4.3±0.7 points, including 4.3±0.6 for the training course, 4.3±0.7 for teachers, and 4.3±0.7 for the organization and arrangement; 85% of the participants considered the training to be very helpful or helpful for improving their competence, and 90% considered the training to be very helpful or helpful for their future work. Conclusion:Modular teaching program is helpful to improve the clinical competence of community general practitioners, especially in clinical skills.