Abstract The prevention and control of myopia in children and adolescents has become a national health strategy in China, and its prevention and management are transitioning from experience driven approaches to precise and intelligent strategies. Understanding the role of artificial intelligence (AI) in myopia prevention and control can provide a foundation for a comprehensive myopia prevention and control system. AI, with its powerful capabilities in data analysis and pattern recognition, shows significant potential in myopia risk prediction, screening and diagnosis, intervention support and behavior monitoring in children and adolescents. The article systematically summarizes the scientific evidence and consensus on the application of AI for myopia prevention and control in children and adolescents. From the perspective of public health practice, it proposes hierarchical expert recommendations for multiple scenarios including schools, families, communities and medical institutions, as well as policy and research with development. Furthermore, it discusses current challenges and future directions, aiming to provide a reference for building an intelligent, precise and fully covered comprehensive myopia prevention and control system in children and adolescents.

Two-dimensional nuclear magnetic resonance (2D NMR) is a widely used technique for structural analysis of small molecular compounds. It can obtain information about the hydrogen-hydrogen correlation, hydrogen-carbon single bond correlation, hydrogen-carbon remote correlation, and hydrogen-hydrogen spatial arrangement of compounds. Thus, 2D NMR has an irreplaceable role in the structure elucidation of small molecular products. However, the sample amount of trace components in phytochemical research is very low, and the traditional sampling method (uniform sampling) has problems of poor spectral quality and too long measure time. Increasing the number of scans results in several hours of the acquisition time for a single two-dimensional spectrum, which in turn causes strain on the NMR machine. The non-uniform sampling (NUS) technique can shorten the acquisition time to a large extent and not affect the quality of 2D NMR data, which greatly improves the efficiency of 2D NMR acquisition. In this paper, fuziline, a small molecular compound in the lateral roots of Aconitum carmichaelii was selected as the research object. Its ¹H-¹³C HSQC, ¹H-¹H COSY, HMBC, and NOESY spectra were acquired by US and NUS methods, respectively. By comparing the integral values of NMR signals of three chemical groups in fuziline, it is confirmed that the NUS technique has the advantages of improving the quality of 2D NMR spectra and shortening the acquisition time in structure elucidation of small molecule compounds. In HMBC spectrum, it was further confirmed that NUS technology can improve the quality of the 2D spectra and the signal resolution. This indicates that NUS technology can improve the efficiency and reliability of the structure elucidation of small molecule compounds.

OBJECTIVE To investigate the effects of Tripterygium wilfordii multiglycoside （TWM） on renal injury in diabetic nephropathy （DN） rats through tumor protein p53/microRNA-214 （miR-214）/UNC-51-like kinase 1 （ULK1） axis. METHODS Male SD rats were randomly divided into normal group （n＝6） and modeling group （n＝28）； the modeling group was fed with high fat and high glucose plus intraperitoneal injection of streptozotocin to establish DN model. The modeled rats were randomly divided into model group， valsartan group [8.33 mg/（kg·d）] and TWM group[6.25 mg/（kg·d）]， with 8 rats in each group. Rats in each group were gavaged with the corresponding medication or normal saline， once a day， for 6 consecutive weeks. After the last medication， liver and renal function indexes [24 h urinary total protein （24 h-UTP）， blood urea nitrogen （BUN）， serum creatinine （SCr）， albumin （ALB）， alanine transaminase （ALT）]， blood lipid indexes （triglycerides， total cholesterol） and blood glucose index （fasting blood glucose） in urine/blood sample of rats were detected in each group. Renal pathologic change was observed， protein and mRNA expressions of p53， ULK1， Beclin-1 and microtubule-associated protein 1 light chain 3 （LC3）， and expression of miR-214 in renal tissue were also determined. RESULTS Compared with the normal group， the renal tubular epithelium of rats in the model group showed obvious edema， cell swelling， accompanied by lymphocyte infiltration； the levels of 24h-UTP， BUN， SCr， ALT and glycolipid indexes， the expressions of p53 protein and mRNA， as well as the expression of miR-214 in rats in the model group and administration groups were significantly increased or up-regulated， while ALB level， LC3-Ⅱ/LC3-Ⅰ， the expressions of LC3 mRNA， the expressions of ULK1， Beclin-1 protein and mRNA were significantly decreased or down-regulated （P＜0.01）. Compared with the model group， the histopathological damage of the kidney in rats was improved in administration groups； the levels of 24 h-UTP， BUN， SCr， ALT and glycolipid indexes， the expressions of p53 protein and mRNA， as well as the expression of miR-214 were all significantly decreased or down-regulated， while ALB level， LC3-Ⅱ/LC3-Ⅰ， the expressions of LC3 mRNA， the expressions of ULK1 and Beclin-1 protein and mRNA were significantly increased or up-regulated （P＜0.01）. CONCLUSIONS TG can alleviate renal damage in DN rats， and improve their liver and renal function， as well as glucose and lipid levels. These effects may be related to the regulation of the p53/miR-214/ULK1 axis and the restoration of cellular autophagy.

Objective:To investigate the characteristics of m6A methylation modification patterns in mRNA of patients with major depressive disorder (MDD) and its effect in the pathogenesis of the disease.Methods:From March 2022 to May 2023, five untreated MDD patients were assigned to the MDD group, and five healthy individuals were enrolled as the healthy control group at the First Psychiatric Hospital of Harbin.Microarray analysis was performed to determine the m6A modification profiles and gene expression patterns of mRNA in MDD. Gene ontology (GO) enrichment analysis and Kyoto encyclopedia of genes and genomes (KEGG) pathway analysis were conducted to elucidate the effect of m6A methylation in the development of depression. Finally, methylated RNA immunoprecipitation combined with quantitative PCR (MeRIP-qPCR) was used to validate the m6A methylation levels of key mRNAs (GRM4, CAMKK2). Data were analyzed using R software (version 4.2.0) with t-test and Fisher's exact test. Results:Significant differences in m6A-modified mRNAs were observed between MDD patients and healthy controls. A total of 513 mRNAs (180 hypermethylated and 333 hypomethylated) exhibited differential m6A modifications in MDD patients. GO and KEGG analysis revealed that hypermethylated mRNAs were primarily enriched in neuroactive ligand-receptor interactions, while hypomethylated mRNAs were associated with the AMP-activated protein kinase (AMPK) signaling pathway. Additionally, a total of 350 differentially expressed mRNAs were identified (171 upregulated and 179 downregulated), enriched in the cyclic adenosine monophosphate (cAMP) and tumor necrosis factor (TNF) signaling pathways. MeRIP-qPCR results demonstrated that the m6A methylation level of GRM4 in MDD patients (25.40±2.38) was significantly higher than that in healthy controls (9.40±1.00) ( t=13.88, P<0.05), whereas the methylation level of CAMKK2 (19.63±6.60) was significantly lower than that in healthy controls (30.51±7.20) ( t=2.48, P<0.05). Conclusion:The m6A modification expression profile is abnormal in patients with major depressive disorder, which may be involved in the pathogenesis and development of MDD, and the identification of key pathways may provide new clues and evidence for the development of more effective therapeutic targets for MDD.

Objective To explore the risk factors of residual displacement after Kirschner wire internal fixation for unstable humeral supracondylar fracture in children.Methods A total of 128 children who underwent Kirschner wire internal fixation for humeral supracondylar fracture in our hospital from March 2019 to October 2023 were selected.According to the degree of humeral supracondylar displacement after recovery,the patients were divided into the normal group(n=63),grade Ⅰ group(n=29),grade Ⅱ group(n=22)and grade Ⅲgroup(n=14).The mechanical parameters before and after the operation and general data of patients in each group were compared.A LASSO regression model was established to screen the influencing factors of residual displacement.Multivariate Logistic regression analysis was used to analyze the risk factors of postoperative residual displacement in patients with grade Ⅲ.A risk factor model of postoperative residual displacement was constructed and evaluated.Results After treatment with Kirschner wire internal fixation,the humeral supracondylar mechanical parameters of the patients significantly improved compared to those before operation(P<0.05).There were statistically significant differences among the groups in terms of fracture healing time,fracture fixation time,Gartland classification,reduction method,postoperative complications,Flynn score,anterior inclination angle of the humeral head,Baumann angle,carrying angle,and distal humeral torsion angle(P<0.05).The LASSO regression model indicated that fracture healing time,Gartland classification,postoperative complications,Baumann angle,distal humeral torsion angle,and Flynn score were the relevant indicators of residual displacement.The Logistic regression analysis revealed that fracture healing time≥50 minutes,Gartland classification of grade Ⅲ,occurrence of postoperative complications,and Flynn score(average or poor)were independent risk factors for residual displacement after surgery in patients with grade Ⅲ.The receiver operating characteristic(ROC)curve showed that this risk factor model had good discrimination ability[area under the curve(AUC)=0.858,95%CI:0.823 to 0.897].Conclusion The internal fixation with Kirschner wire for treatment of humeral supracondylar fracture has a remarkable therapeutic effect,and it can significantly improve the humeral supracondylar mechanical parameters of the patients.The fracture healing time≥50 minutes,Gartland classification of grade Ⅲ,occurrence of postoperative complications,and Flynn score(average or poor)are risk factors for residual displacement after internal fixation with Kirschner wire in patients with humeral supracondylar fracture.

Objective:To investigate the characteristics of m6A methylation modification patterns in mRNA of patients with major depressive disorder (MDD) and its effect in the pathogenesis of the disease.Methods:From March 2022 to May 2023, five untreated MDD patients were assigned to the MDD group, and five healthy individuals were enrolled as the healthy control group at the First Psychiatric Hospital of Harbin.Microarray analysis was performed to determine the m6A modification profiles and gene expression patterns of mRNA in MDD. Gene ontology (GO) enrichment analysis and Kyoto encyclopedia of genes and genomes (KEGG) pathway analysis were conducted to elucidate the effect of m6A methylation in the development of depression. Finally, methylated RNA immunoprecipitation combined with quantitative PCR (MeRIP-qPCR) was used to validate the m6A methylation levels of key mRNAs (GRM4, CAMKK2). Data were analyzed using R software (version 4.2.0) with t-test and Fisher's exact test. Results:Significant differences in m6A-modified mRNAs were observed between MDD patients and healthy controls. A total of 513 mRNAs (180 hypermethylated and 333 hypomethylated) exhibited differential m6A modifications in MDD patients. GO and KEGG analysis revealed that hypermethylated mRNAs were primarily enriched in neuroactive ligand-receptor interactions, while hypomethylated mRNAs were associated with the AMP-activated protein kinase (AMPK) signaling pathway. Additionally, a total of 350 differentially expressed mRNAs were identified (171 upregulated and 179 downregulated), enriched in the cyclic adenosine monophosphate (cAMP) and tumor necrosis factor (TNF) signaling pathways. MeRIP-qPCR results demonstrated that the m6A methylation level of GRM4 in MDD patients (25.40±2.38) was significantly higher than that in healthy controls (9.40±1.00) ( t=13.88, P<0.05), whereas the methylation level of CAMKK2 (19.63±6.60) was significantly lower than that in healthy controls (30.51±7.20) ( t=2.48, P<0.05). Conclusion:The m6A modification expression profile is abnormal in patients with major depressive disorder, which may be involved in the pathogenesis and development of MDD, and the identification of key pathways may provide new clues and evidence for the development of more effective therapeutic targets for MDD.

Objective To investigate the value of machine learning models based on contrast-enhanced CT radiomics in differentia-ting renal oncocytoma(RO)from chromophobe renal cell carcinoma(chRCC).Methods A total of 65 patients with RO and chRCC confirmed by pathology with complete clinical and imaging data were analyzed retrospectively.The patients were randomly divided into training set(n=45)and test set(n=20)according to a ratio of 7︰3.The tumor boundaries were delineated on the preoperative CT images using 3D Slicer software,and radiomics features were extracted using the Radiomics plugin.Univariate analysis,recursive fea-ture elimination(RFE),least absolute shrinkage and selection operator(LASSO)algorithms were used to select the best radiomics features.Three machine learning models were constructed on the training set and the grid search method was used to select the best combination of hyperparameters.The receiver operating characteristic(ROC)curve,calibration curve and decision curve were used to evaluate the performance of each machine learning model on the training set and test set.Results Random forest model,logistic regres-sion model and support vector machine model can better identify RO and chRCC.In the training set,the area under the curve(AUC)of random forest model and support vector machine model were 0.950[95%confidence interval(CI)0.901-0.998]and 0.955(95%CI 0.908-1.000),respectively,which were higher than the AUC of logistic regression model 0.882(95%CI 0.806-0.956).Statistical differences were found by DeLong test(P<0.05);In the test set,the AUC of random forest model,logistic regression model and support vector machine model were 0.876(95%CI 0.758-0.993),0.883(95%CI 0.768-0.997)and 0.883(95%CI 0.768-0.997),respectively.There was no significant statistical difference in the AUC of each model by DeLong test(P>0.05).The decision curve showed that all three models had significant net clinical benefits.Conclusion The machine learning model based on contrast-enhanced CT radiomics can effectively distinguish RO from chRCC.

Objective To explore the correlation between psoas major index(PMI)in patients with diffuse large B-cell lymphoma(DLBCL)and prognosis after rituximab,cyclophosphamide,doxorubicin,vincristine,prednisone(R-CHOP)chemotherapy.Methods Totally 148 DLBCL patients who received R-CHOP chemotherapy were retrospectively enrolled.Based on axis CT image at L3 vertebral transverse process,bilateral psoas muscles were delineated,and PMI was calculated.Then the patients were divided into muscle reduction group(≤lower quartile,n=37)and control group(＞lower quartile,n=111)according to the lower quartile of PMI.Clinical and imaging data were compared between groups,and the correlations of PMI with the above indexes were analyzed.The impact factors of prognosis of DLBCL were observed.Results Significant differences of body mass index(BMI),Eastern Cooperative Oncology Group(ECOG)score,international prognostic index(IPI),the proportion of B symptoms,mortality rate,3-year survival rate,β2-microglobulin,hemoglobin,albumin and PMI were found between groups(all P＜0.05).PMI of DLBCL patient was negatively correlated with age,ECOG score,IPI,β2-microglobulin and lactate dehydrogenase(LDH)(r=—0.126,-0.225,—0.262,—0.232,—0.229,all P＜0.05),but positively correlated with BMI and hemoglobin(r=0.282,0.376,both P＜0.05).The age,ECOG score,IPI and PMI were all independent impact factors of overall survival in DLBCL patients(all P＜0.05).Conclusion PMI was an independent impact factor of prognosis of DLBCL after R-CHOP chemotherapy.

Objective:To investigate the prevalence and risk factors of overweight and obesity among Chinese children aged 3-18 years from 11 provinces, antonomous regions, or municipalities.Methods:This national cross-sectional community health survey utilized a multistage stratified cluster-random sampling method to recruit 193 997 nationally representative participants from 11 provinces, autonomous regions, or municipalities between January 2017 and December 2019. All participants underwent physical examinations, and their caregivers completed questionnaires assessing participants′ dietary, lifestyle, familial, and perinatal information. Multilevel multinomial logistic regression models were employed to identify the potential risk factors.Results:The cohort comprised 193 997 children (102 178 boys, 91 819 girls),aged (10±4) years. Overall prevalence rates were 30 574(15.8%)overweight children and 17 217(8.9%) obesity children. Boys exhibited higher overweight and obesity rates than girls (17.0% (17 368/102 178) vs. 14.4% (13 206/102 178), 11.3% (11 553/91 819) vs. 6.2% (5 664/91 819), χ2=249.12,1 578.69,both P<0.001). The detection rates of obesity in Tanner stage 2 and 3 were the highest in boys and girls, with 13.4%(2 231/16 665) and 8.6%(880/10 221) respectively. Risk factors for obesity included parental overweight (paternal OR=2.34 and maternal OR=2.29), annual household income of 100 000-200 000 yuan (compared with<100 000 yuan, OR=1.04), higher paternal education (compared with below high school,high school and a college education OR=1.09,1.14), birth weight >4.0 kg (≤5 and>5 years old OR=1.74, 1.44,respectively), and western food consumption≥1 time/month (compared with<1, 1-2, 3-4,>4 times/month OR=1.36, 1.30, 1.67(≤5 years), 1.19, 1.16, 1.15 (>5 years), respectively) (all P<0.05). Conversely, coarse grain intake≥1 times/week (compared with<1 times/week, every day, 3-4, 1-2 times/week OR=0.74, 0.80, 0.71 (≤5 years), 0.75, 0.87, 0.90(>5 years), respectively, all P<0.05) was associated with reduced obesity risk. Conclusions:Obesity epidemiology in children demonstrates significant heterogeneity across age, gender, geographic regions, and pubertal stages. It is necessary to establish a personalized prevention and control strategy.

Objective:To explore the value of ultrasound imaging characteristics combined with clinical indicators in assessing the prognosis of patients with pancreatic ductal adenocarcinoma (PDAC).Methods:A retrospective analysis was conducted for patients who underwent pancreatic contrast-enhanced ultrasound (CEUS) from September 2017 to October 2023 at Peking Union Medical College Hospital and were diagnosed with PDAC based on pathological findings. Various parameters were recorded, including CA19-9 levels, tumor size, location, morphologic features, echogenicity, presence of internal cystic components, dilatation of the main pancreatic duct, peripheral vascular invasion, CEUS characteristics, presence or absence of liver metastasis, and treatment methods. In April 2024, patient survival information was obtained through telephone follow-up or review of medical records. Based on the results of the cox regression model analysis, a nomogram model of the risk of death was developed. The receiver operating characteristic (ROC) curves were applied to evaluate the predictive efficacy of the model. The calibration curves were plotted to evaluate the accuracy of the model, and clinical decision curves were used to evaluate the clinical benefit of the model.Results:This study included a total of 207 patients with PDAC. As of April 2024, 71 patients were alive and 136 died, with a median survival time of 14 months (95% CI: 12 -17). Multivariate analysis confirmed that the elevated CA19-9 ( HR=1.689, 95% CI: 1.102-2.588), tumor size >4 cm ( HR=1.641, 95% CI: 1.159-2.322), taller-than-wide shapes ( HR=1.450, 95% CI: 1.019-2.065), incomplete hypo-enhancement ( HR=1.618, 95% CI: 1.100-2.380), and liver metastasis ( HR=1.687, 95% CI: 1.175-2.423) were independent risk factors for survival in patients with PDAC. A nomogram model was further constructed for 6-month, 12-month and 3-year survival of patients with PDAC. The areas under the ROC curve were 0.679, 0.705 and 0.815, respectively. The calibration curves suggested that the model was more accurate, and the clinical decision curves showed that the model had a better clinical benefit. Conclusion:The combined use of ultrasound imaging characteristics and clinical indicators could effectively predict the prognosis of PDAC patients. Specifically, tumor size >4 cm, taller-than-wide shapes, incomplete hypo-enhancement, elevated CA19-9, and the presence of liver metastasis are correlated with poorer survival outcomes. The nomogram model constructed on the basis of these factors can be used to assess the survival of patients with PDAC.