Objective To explore the effectiveness of"near peer learning"(NPL)in the electromyo-graphy(EMG)teaching module for neurology residents.Methods The Department of Neurology,Peking Union Medical College Hospital implemented an NPL instructional design for a course on EMG for residents from November 2020 to March 2024.This teaching session was held annually,in which senior residents in-structed juniors who were 1 or 2 years earlier in their training.The residents participated in the pre-course/post-course tests and completed a feedback survey at the end of the session.This evaluation method was used to un-derstand the effectiveness of the NPL intervention in EMG teaching.Results Over four years,a total of 83 residents participated.Among them,there were 24 postdoctoral students,52 postgraduates and 7 junior resi-dents.The results showed that the post-course test scores were significantly improved compared with pre-course test scores(74.33±2.43 vs.70.11±2.49,P=0.005),with the most remarkable improvements seen for"tu-tees"(73.84±20.53 vs.70.29±21.46,P=0.020),postgraduates(74.04±22.51 vs.68.97±21.40,P=0.009),first-year residents(70.19±4.02 vs.63.59±3.59,P=0.040)and first-time participating resi-dents(65.23±3.24 vs.60.97±3.21,P=0.030).The post-program feedback showed that both tutors and tu-tees thought highly of NPL,believing that it enabled them to gain knowledge and helped them to improve teaching skills.Conclusions The NPL intervention is suitable for the teaching of EMG,because of its contri-bution to knowledge acquisition and basic clinical skills improvement.The NPL is worth replicating in other teaching and learning programs.

Objective:To investigate the distribution of CGG repeat numbers in the FMR1 gene among reproductive-age women in China, providing data reference for carrier screening and genetic counseling of Fragile X syndrome. Methods:This cross-sectional study recruited 16 610 reproductive-age women from 12 medical institutions between July 2022 and October 2023. Peripheral venous blood samples (3 mL) were collected, and genomic DNA was extracted. The number of CGG repeats in the FMR1 gene was determined using the triplet-primed polymerase chain reaction (TP-PCR) combined with capillary electrophoresis technology. Statistical analyses were performed to assess the prevalence and distribution of CGG repeat expansions. Results:Among 16 610 women of childbearing age, 5 684 (34.220%) women had the same number of CGG repeats in the two alleles of FMR1 gene, and 10 926 (65.780%) women had different numbers of repeats in the two alleles. Among the 33 220 FMR1 alleles in 16 610 women of reproductive age, the most common CGG repeat numbers were 29 [48.645% (16 160/33 220)] and 30 [26.276% (8 729/33 220)], while the most frequent CGG genotype was CGG 29/29 [24.726% (4 107/16 610)]. The CGG repeat numbers of FMR1 gene were normal in 16 498 women (99.326%). Among the 112 women (0.674%) with CGG repeat abnormities, 96 (0.578%) women were classified as intermediate carriers, 15 (0.090%) as premutation carriers, and 1 (0.006%) as a full mutation carrier, whose CGG genotype was (36, >200). Conclusion:In the general reproductive-age female population in China, the normal CGG repeat numbers of the FMR1 gene account for 99.326%, while the intermediate carrier rate is 0.578%, and the combined carrier rate of the premutation and full mutation types is 0.096%.

Objective:To establish and validate a multimodal model based on radiomics and deep learning for predicting acute pancreatitis (AP) complicated with acute respiratory distress syndrome (ARDS).Methods:Patients diagnosed with AP from The First Affiliated Hospital of Soochow University, Donghai County People's Hospital and Jintan Affiliated Hospital of Jiangsu University between January 2017 and December 2023 were enrolled. Based on the diagnosis of ARDS within 1 week after admission, the patients were classified into the ARDS group and the non-ARDS group. Patients in the First Affiliated Hospital of Soochow University ( n=406) was used as the training set (non-ARDS group n=212 vs ARDS group n=194), while Donghai and Jintan hospitals served as the test set ( n=175; non-ARDS group n=104 vs ARDS group n=71). Clinical data, laboratory tests and the occurrence of systemic inflammatory response syndrome (SIRS) within 24 hours after admission were collected. Scoring systems such as bedside index for severity in acute pancreatitis (BISAP), Ranson score and modified CT severity index (MCTSI) were calculated. Radiomics features were extracted from three-dimensional CT images to develop a radiomics model based on XGBoost algorithm. At the same time, a deep learning model was constructed using deep convolutional networks to extract deep features. Finally, clinical features and the predictions from the aforementioned models were integrated to establish a multimodal model based on XGBoost algorithm. To enhance model visualization, variable importance ranking and local interpretable visualization were used. The receiver operating characteristic (ROC) curves of the three models and the three scores including BISAP, Ranson and MCTSI were plotted and the area under the curves (AUCs) were calculated to evaluate the prediction performance for ARDS in AP patients, as well as sensitivity and specificity. Results:In the multimodal model for predicting ARDS in AP patients, predictions of the deep learning model and the radiomics model were the most important variables, followed by SIRS, C-reactive protein, procalcitonin, albumin, glucose, creatinine, neutrophil, and Ca 2+. In the training set, the multimodal model achieved an AUC of 0.933 for predicting ARDS in AP patients, higher than the radiomics model (0.727), the deep learning model (0.877), MCTSI (0.870), Ranson (0.620) and BISAP (0.898). In the test set, the model's AUC was 0.916 for predicting ARDS in AP patients, higher than the radiomics model (0.660), the deep learning model (0.864), MCTSI (0.851), Ranson (0.609), and BISAP (0.860). Conclusions:Based on clinical structured data, radiomics and deep learning features, the multimodal model could predict the risk of ARDS in AP patients at an early stage, whose performance is better than the single-modal models and the traditional scoring systems.

Objective To explore the characteristics and molecular mechanisms of dynamic changes in ovarian function during natural aging in mice.Methods Eighteen female ICR mice of 2,6,10 and 14 months of age(referred to as 2 M,6 M,10 M,and 14 M)were included.The estrous cycle,ovarian index,pregnancy rate and embryo number were detected.The number of follicles was observed using HE staining.Serum anti-Müllerian hormone(AMH)levels were measured using ELISA.Protein and mRNA expression of P16,P21,proliferator-activated receptor-γ coactivator-1α(PGC-1α),and mitochondrial transcription factor A(TFAM)were detected through IHC and qPCR,respectively,and the protein expression of PGC-1α and TFAM was detected by Western blot.Relationships between indicators were evaluated based on Spearman's rank correlation coefficients and logistic regression analyses.Results Compared with estimates in the 2 M group,the percentage of estrous cycle disorders(P＜0.05 in 10 M group,P＜0.01 in 14 M group),ovarian index(P＜0.05 in 10 M group,P＜0.01 in 14 M group),serum AMH level(P＜0.01 in 10 M group,P＜0.01 in 14 M group),number of embryos(P＜0.01 in the 10 M group,P＜0.01 in 14 M group),and pregnancy rate(P＜0.01 in 14 M group)were significantly lower;the number of follicles at all levels and total number of follicles were lower(all P＜0.01),and the number of atretic follicles(all P＜0.01)was higher.Furthermore,P16 and P21 mRNA(P16:P＜0.01 in 10 M and 14 M groups;P21:P＜0.05 in 10 M group,P＜0.01 in 14 M group)and protein levels(P16:P＜0.01 in each group;P21:P＜0.01 in 10 M and 14 M groups)were elevated.Spearman's correlation analyses showed that the age in months was negatively correlated with the ovarian index,serum AMH level,primordial follicle number,number of embryos,and expression of PGC-1αand TFAM and positively correlated with the expression of atretic follicle,P16 and P21(all P＜0.01).Logistic regression analysis revealed a significant negative correlation between the age in months and pregnancy rate(P＜0.01).PGC-1α mRNA was significantly decreased(all P＜0.01),and TFAM mRNA was significantly decreased in 10 M and 14 M groups(P＜0.01).PGC-1α levels were significantly decreased in the 10 M group(IHC:P＜0.05;Western blot:P＜0.01)and 14 M group(all P＜0.01);TFAM levels were significantly lower in 6 M,10 M,and 14 M groups than in the 2 M group(IHC:P＜0.01;Western blot:P＜0.01).Compared with the 2 M group,expression levels of PGC-1α and TFAM were positively correlated with the ovarian index and serum AMH level and negatively correlated with P16 and P21 expression(all P＜0.01).Conclusions Ovarian function in mice declines progressively with age in months,as reflected by reductions in follicles and fertility and the up-regulation of aging markers,which may be associated with the decreased expression of the mitochondrial biogenesis factors PGC-1α and TFAM.

Objective To analyze temporal trends in infectious disease burden among Chinese elderly(≥60 years)using data from the Global Burden of Disease Study(GBD 2021),evaluate age-period-cohort effects on disease burden,predict trends through 2045,and propose evidence-based medication management strategies.Methods We conducted a threefold analysis of infectious disease burden from 1990 to 2021 using Joinpoint regression to identify temporal trends,Age-Period-Cohort(APC)modeling to disentangle epidemiological effects,and Nordpred projections for 2045 disease burden estimates.Results Over 32 years,all infectious disease categories except HIV/AIDS and sexually transmitted infections demonstrated significant declines.Enteric infections showed the most rapid reductions in mortality(AAPC=-7.85,P﹤0.001)and disability-adjusted life year rates(DALYR;AAPC=-7.18,P﹤0.001).We also found a significant decrease in the incidence of tropical diseases and malaria(AAPC=-6.77,P﹤0.001).APC analysis found that the age effect was mostly negative in terms of the annual percentage change in mortality and DALYR for each disease,except for HIV/AIDS,with an overall decline in period risk over time,and a generally higher risk of morbidity and mortality for the early birth cohort,and an overall decline in the risk of each disease as the year of birth progressed,but the risk of HIV/AIDS death and DALY period and cohort risks trended upward.While the overall risk for certain diseases was slightly higher in males compared to females,the trends were largely consistent across both sexes.In terms of projections,the absolute prevalence of respiratory infections and tuberculosis in terms of number of cases and age-standardized rates,and the growth of the disease burden of HIV/AIDS were particularly prominent,making them important health challenges for the future.The burden of disease in the elderly often results in issues such as potential polypharmacy,which must be addressed to improve medication management.Conclusions China has achieved remarkable progress in reducing infectious disease burdens among older adults,though HIV/AIDS and sexually transmitted infections present an escalating public health threat.These findings advocate for enhanced surveillance systems,age-specific prevention strategies,and precision medication protocols to optimize therapeutic outcomes in geriatric populations.

Objective:To investigate the distribution of CGG repeat numbers in the FMR1 gene among reproductive-age women in China, providing data reference for carrier screening and genetic counseling of Fragile X syndrome. Methods:This cross-sectional study recruited 16 610 reproductive-age women from 12 medical institutions between July 2022 and October 2023. Peripheral venous blood samples (3 mL) were collected, and genomic DNA was extracted. The number of CGG repeats in the FMR1 gene was determined using the triplet-primed polymerase chain reaction (TP-PCR) combined with capillary electrophoresis technology. Statistical analyses were performed to assess the prevalence and distribution of CGG repeat expansions. Results:Among 16 610 women of childbearing age, 5 684 (34.220%) women had the same number of CGG repeats in the two alleles of FMR1 gene, and 10 926 (65.780%) women had different numbers of repeats in the two alleles. Among the 33 220 FMR1 alleles in 16 610 women of reproductive age, the most common CGG repeat numbers were 29 [48.645% (16 160/33 220)] and 30 [26.276% (8 729/33 220)], while the most frequent CGG genotype was CGG 29/29 [24.726% (4 107/16 610)]. The CGG repeat numbers of FMR1 gene were normal in 16 498 women (99.326%). Among the 112 women (0.674%) with CGG repeat abnormities, 96 (0.578%) women were classified as intermediate carriers, 15 (0.090%) as premutation carriers, and 1 (0.006%) as a full mutation carrier, whose CGG genotype was (36, >200). Conclusion:In the general reproductive-age female population in China, the normal CGG repeat numbers of the FMR1 gene account for 99.326%, while the intermediate carrier rate is 0.578%, and the combined carrier rate of the premutation and full mutation types is 0.096%.

AIM:This study aims to investigate the protective effect of α-lipoic acid(α-LA)against alcohol-induced damage in H9c2 rat cardiomyocytes and to explore the underlying mechanisms.METHODS:An alcohol-induced injury model of H9c2 cells was established,and the cells were divided into 4 groups:control group,alcohol group,α-LA group,and alcohol+α-LA group.Additionally,H9c2 cells overexpressing aldehyde dehydrogenase 2(ALDH2)were cre-ated and further divided into 6 groups:normal control group,normal cells treated with alcohol group,normal cells treated with alcohol+α-LA group,ALDH2 overexpression group,ALDH2-overexpressing cardiomyocytes treated with alcohol group,and ALDH2-overexpressing cardiomyocytes treated with alcohol+α-LA group.Cell proliferation was assessed using 5-ethynyl-2'-deoxyuridine(EdU)staining.Reactive oxygen species(ROS)levels in each group were measured using di-hydroethidium(DHE)staining,while the expression levels of ALDH2,silent information regulator 1(SIRT1),heme oxy-genase 1(HO1)and P53 proteins were detected by Western blot analysis.RESULTS:(1)Alcohol exposure resulted in a decrease in the proliferation of H9c2 cells and an increase in intracellular oxidative stress,evidenced by elevated ROS levels and decreased expression of related proteins(ALDH2,SIRT1 and HO1).However,α-LA treatment significantly mitigated the decline in cell proliferation and the oxidative stress induced by alcohol.(2)Alcohol may induce cellular se-nescence,as demonstrated by the up-regulation of P53 expression,which were reversed by α-LA.(3)The H9c2 cells with high ALDH2 expression markedly improved the cell proliferation in the presence of alcohol,suppressed the ROS pro-duction,prevented the down-regulation of oxidative stress-related proteins(ALDH2,SIRT1 and HO1),and reversed the enhanced expression of the senescence marker P53.CONCLUSION:Treatment with α-LA may counteract oxidative stress and attenuate cellular senescence by activating ALDH2,thereby protecting cardiomyocytes from alcohol-induced damage.

Objective To analyze temporal trends in infectious disease burden among Chinese elderly(≥60 years)using data from the Global Burden of Disease Study(GBD 2021),evaluate age-period-cohort effects on disease burden,predict trends through 2045,and propose evidence-based medication management strategies.Methods We conducted a threefold analysis of infectious disease burden from 1990 to 2021 using Joinpoint regression to identify temporal trends,Age-Period-Cohort(APC)modeling to disentangle epidemiological effects,and Nordpred projections for 2045 disease burden estimates.Results Over 32 years,all infectious disease categories except HIV/AIDS and sexually transmitted infections demonstrated significant declines.Enteric infections showed the most rapid reductions in mortality(AAPC=-7.85,P﹤0.001)and disability-adjusted life year rates(DALYR;AAPC=-7.18,P﹤0.001).We also found a significant decrease in the incidence of tropical diseases and malaria(AAPC=-6.77,P﹤0.001).APC analysis found that the age effect was mostly negative in terms of the annual percentage change in mortality and DALYR for each disease,except for HIV/AIDS,with an overall decline in period risk over time,and a generally higher risk of morbidity and mortality for the early birth cohort,and an overall decline in the risk of each disease as the year of birth progressed,but the risk of HIV/AIDS death and DALY period and cohort risks trended upward.While the overall risk for certain diseases was slightly higher in males compared to females,the trends were largely consistent across both sexes.In terms of projections,the absolute prevalence of respiratory infections and tuberculosis in terms of number of cases and age-standardized rates,and the growth of the disease burden of HIV/AIDS were particularly prominent,making them important health challenges for the future.The burden of disease in the elderly often results in issues such as potential polypharmacy,which must be addressed to improve medication management.Conclusions China has achieved remarkable progress in reducing infectious disease burdens among older adults,though HIV/AIDS and sexually transmitted infections present an escalating public health threat.These findings advocate for enhanced surveillance systems,age-specific prevention strategies,and precision medication protocols to optimize therapeutic outcomes in geriatric populations.

Objective To assess the efficacy and the survival rate of the hip joint following the treatment of osteonecrosis of the femoral head(ONFH)with ultrasound-guided percutaneous intra-articular platelet-rich plasma(PRP)injection in combination with percutaneous silver needle thermalolysis.Methods Fifty-six patients diag-nosed with ARCO(Association Research Circulation Osseous)stage Ⅱ ONFH were randomly allocated into two groups.The first group,designated as the PRP injection combined with silver needle thermalolysis group(Group R,n=28),and the second group,the steroid injection combined with silver needle thermalolysis group(Group S,n=28).Both groups underwent three injections(administered at 4-week intervals)and one session of silver needle thermalolysis.Outcome measures,including the Numerical Rating Scale(NRS)for pain assessment,Harris Hip Score(HHS),daily consumption of non-steroidal anti-inflammatory drugs(etoricoxib)and tramadol,progression to ARCO stage Ⅲ,and the rates of surgical intervention,were recorded at baseline,3 days,and 1,3,6,and 12 months after the treatment.Results When compared to the baseline,both groups manifested significant decreases in NRS scores and enhancements in HHS at all follow-up time points(P<0.05).Specifically,Group R demonstrated more favorable outcomes compared to Group S.At 3,6,and 12 months,Group R had lower NRS scores(P<0.01)and more notable improvements in HHS(P<0.01).Additionally,the daily analgesic consumption(etoricoxib and tramadol)in Group R was significantly lower than that in Group S at 3,6,and 12 months(P<0.01).Moreover,Group R exhibited a significantly lower progression rate to ARCO stage III and a lower hip replacement surgery rate(P<0.05).Conclusions Ultrasound-guided intra-articular PRP injection in combination with silver needle therma-lolysis expedites pain alleviation,enhances hip function,reduces analgesic dependence,and retards the progression of ONFH.This approach thus represents a clinically viable option for early-stage intervention.

ObjectiveTo investigate the application value of a multimodal model integrating radiomics features， deep learning features， and clinical structured data in predicting severe acute pancreatitis （SAP）， and to provide more accurate tools for the early identification of SAP in clinical practice. MethodsThe patients with acute pancreatitis （AP） who attended The First Affiliated Hospital of Soochow University， Jintan Hospital Affiliated to Jiangsu University， and Suzhou Yongding Hospital from January 1， 2017 to December 31， 2023 were included. Related data were collected， including demographic information， previous medical history， etiology， laboratory test data， and systemic inflammatory response syndrome （SIRS） within 24 hours after admission， as well as imaging data within 72 hours after admission， while related scores were calculated， including Ranson score， modified CT severity index （MCTSI）， bedside index for severity in acute pancreatitis （BISAP）， and systemic inflammatory response syndrome， albumin， blood urea nitrogen and pleural effusion （SABP） score. The model was constructed in the following process： （1） three-dimensional CT images were used to extract and identify radiomics features， and a radiomics classification model was established based on the extreme gradient Boost （XGBoost） algorithm； （2） U-Net is used to perform semantic segmentation of three-dimensional CT images， and then the results of segmentation were imported into 3D ResNet50 to construct a deep learning classification model； （3） the predicted values of the above two models were integrated with clinical structured data to establish a multimodal model based on the XGBoost algorithm. The variable importance plot and local interpretability plot were used to perform visual interpretation of the model. The independent samples t-test was used for comparison of normally distributed continuous data between groups， and the Mann-Whitney U test was used for comparison of non-normally distributed continuous data between groups； the chi-square test or Fisher’s exact test was used for comparison of categorical data between groups. The receiver operating characteristic （ROC） curve was plotted for each model and existing scoring systems， and the area under the ROC curve （AUC） was calculated to assess their performance； the Delong test was used for comparison of AUC. ResultsA total of 609 patients who met the criteria were included， among whom 114 （18.7%） developed SAP. In this study， the data of 426 patients from The First Affiliated Hospital of Soochow University was used as the training set， and the data of 183 patients from Jintan Hospital Affiliated to Jiangsu University and Suzhou Yongding Hospital were used as the independent test set. The multimodal model had an AUC of 0.914 in the test set， which was significantly higher than the AUC of traditional scoring systems such as MCTSI （AUC=0.827）， Ranson score （AUC=0.675）， BISAP （AUC=0.791）， and SABP score （AUC=0.648）； in addition， the multimodal model showed a significant improvement in performance compared with the radiomics classification model （AUC=0.739） and the deep learning classification model （AUC=0.685） （the Delong test： Z=-3.23， -4.83， -3.48， -4.92， -4.31， and -4.59， all P <0.01）. The top 10 variables in terms of importance in the multimodal model were pleural effusion， predicted value of the deep learning model， predicted value of the radiomics model， triglycerides， calcium ions， SIRS， white blood cell count， age， platelets， and C-reactive protein， suggesting that the above variables had significant contributions to the performance of the model in predicting SAP. ConclusionBased on structured data， radiomic features， and deep learning features， this study constructs a multicenter prediction model for SAP based on the XGBoost algorithm， which has a better predictive performance than existing traditional scoring systems and unimodal models.