Objective: To analyze the change trends in the body shape indicators and proportions of students in Harbin from 2010 to 2024, and to investigate ergonomic compatibility of functional dimensions of school desks and chairs with current student shape indicators, so as to provide a reference for revising furniture standards of desks and chairs. Methods: Between September and November of both 2010 and 2024, a combination of convenience sampling and stratified cluster random sampling was conducted across three districts in Harbin, yielding samples of 6 590 and 6 252 students, respectively. Anthropometric shape indicators cluding height, sitting height, crus length, and thigh length-and their proportional changes were compared over the 15-year period. The 2024 data were compared with current standard functional dimensions of school furniture. The statistical analysis incorporated t-test and Mann-Whitney U- test. Results: From 2010 to 2024, average height increased by 1.8 cm for boys and 1.5 cm for girls; sitting height increased by 1.5 cm for both genders; crus length increased by 0.3 cm for boys and 0.4 cm for girls; and thigh length increased by 0.5 cm for both genders. The ratios of sitting height to height, and sitting height to leg length increased by less than 0.1 . The difference between desk chair height and 1/3 sitting height ranged from 0.4-0.8 cm. Among students matched with size 0 desks and chairs, 22.0% had a desk to chair height difference less than 0, indicating that the desk to chair height difference might be insufficient for taller students. The differences between seat height and fibular height ranged from -1.4 to 1.1 cm; and the differences between seat depth and buttock popliteal length ranged from -9.8 to 3.4 cm. Among obese students, the differences between seat width and 1/2 hip circumference ranged from -20.5 to -8.7 cm, while it ranged from -12.2 to -3.8 cm among non obese students. Conclusion Current furniture standards basically satisfy hygienic requirements; however, in the case of exceptionally tall and obese students, ergonomic accommodations such as adaptive seating allocation or personalized adjustments are recommended to meet hygienic requirements.

Objective To evaluate the safety and efficacy of valve-in-valve transcatheter mitral valve replacement(ViV-TMVR)in patients with bioprosthetic valve degeneration who are at high surgical risk.Methods This study is a multi-center,retrospective cohort analysis of 20 consecutive patients who underwent transseptal ViV-TMVR using the Edwards SAPIEN 3 transcatheter heart valve(THV).The primary endpoints include technical success and procedural success,both defined according to the Mitral Valve Academic Research Consortium(MVARC)criteria,as well as mortality and functional change assessed based on New York Heart Association(NYHA)classification at 30-days and six months post-procedure.Clinical follow-up assessments are conducted at 30-days and six months.Results From February 2021 to October 2022,a total of 20 patients with symptoms of bioprosthetic valve degeneration were enrolled across nine sites in China.The patients had a mean age of(73.5±5.5)years,with 85.0％being females and 70.0％classified as NYHA class Ⅲ/Ⅳ.The study achieved a 100.0％technical success rate and a 90.0％procedural success rate finally.All patients remained alive during the 30-day follow-up period.However,six months post-intervention,two patients(10.0％)were re-hospitalized due to heart failure,and sadly,one of them(5.0％)died.None of the patients reported any adverse events related to ViV-TMVR during the follow-up period.Notably,there was a significant improvement in NYHA class compared to baseline(P=0.0004)at six-month follow-ups.Conclusions The transseptal ViV-TMVR technique proved to be highly successful and was associated with significant improvement in NYHA class function.These findings strongly suggest that it serves as a safe and efficient treatment alternative for high-risk patients suffering from bioprosthetic valve degeneration.

Objective:To develop a risk prediction model for moderate to severe orthodontic-induced inflammatory root resorption (OIIRR) of maxillary incisors based on cone beam CT (CBCT) radiomics features and clinical characteristics of the orthodontic patients.Methods:Clinical and CBCT data from 101 orthodontic patients treated by the same attending orthodontist in the Department of Orthodontics, Stomatology Hospital of Tianjin Medical University from January 2019 to January 2024 were retrospectively collected. The sample included 42 class Ⅰ patients, 52 class Ⅱ patients and 7 class Ⅲ patients [age: (19.7±6.3) years], and a total of 394 maxillary incisors were analyzed. Potential influencing factors for moderate to severe OIIRR (root volume resorption rate≥10%) were collected from the patients′ CBCT and medical records, including initial age, gender, treatment duration, Angle′s classification, extraction or not, type of orthodontic appliance (fixed or clear aligner), changes in root inclination, root movement distance and direction, pre-treatment cephalometric measurements, pre-treatment root-bone relationship, pre-treatment root length, and pre-treatment radiomics features of the teeth. Univariate analysis was initially performed to screen for factors influencing moderate to severe OIIRR. Subsequently, least absolute shrinkage and selection operator (LASSO) regression, best subset regression, and random forest were used for feature selection to construct the OIIRR risk prediction model. The discrimination, calibration, and net benefit of the three risk prediction models were evaluated, and the optimal model was displayed using a nomogram.Results:LASSO regression identified clinical features including initial age (LASSO coefficient 0.052), treatment duration (LASSO coefficient 0.024), pre-treatment root length (LASSO coefficient -0.023), and vertical root movement distance (LASSO coefficient -0.029). Initial age and treatment duration were positively correlated with the severity of OIIRR, while root length and vertical root movement distance were negatively correlated. A total of 14 radiomics features were identified, including 2 original image features and 12 wavelet features. Best subset regression identified vertical root movement distance as the clinical feature and 7 radiomics features, including 1 original image feature and 6 wavelet features. The random forest model identified 8 wavelet features as important predictors, and all of which were radiomics features. Model performance evaluation showed that the random forest model had the highest discrimination, calibration, and net benefit, making it the optimal model, with radiomics features being the most important predictors.Conclusions:Based on the data from this study, radiomics features were identified as the most important predictors by the optimal model for OIIRR risk prediction. Predicting the occurrence of moderate to severe OIIRR before orthodontic treatment held potential clinical application value.

Background and purpose:Accurate preoperative differentiation between vagal nerve cervical schwannomas(SCCS)and sympathetic chain cervical schwannomas(SCCS)in the neck is crucial because of their different postoperative complication.This study aimed to construct and validate a Diagnosis Score and vascular displacement nomogram for the preoperative differentiation of VNCS from SCCS in the neck.Methods:This cross-sectional study retrospectively analyzed patients with pathologically confirmed VNCS and SCCS at Fudan University Shanghai Cancer Center from January 2017 to April 2022.This study was approved by the medical ethics committee of Fudan University Shanghai Cancer Center(approval number:1612167-18).Inclusion criteria:① histopathological diagnosis of VNCS or SCCS through biopsy or surgical resection;② patients with complete clinic data;③availability of preoperative contrast-enhanced computed tomography(CT)or magnetic resonance imaging(MRI)examinations.Patients were excluded for:① contrast agent contraindications;② poor image quality;③ severe artifacts;④ non-standard scanning protocols.The cohort was randomly divided into training and validation sets in a 7∶3 ratio.Two radiologists(one resident and one attending physician)independently evaluated tumor characteristics(location,size and vascular displacement patterns)on preoperative imaging.Independent predictors were selected using LASSO regression analysis to construct a diagnostic scoring system and nomogram,with model performance evaluated by the receiver operating characteristic(ROC)curve.Results:A total of 110 patients were enrolled,with 77 cases allocated to the training set and 33 cases to the validation set.The age range was 24-78 years,and the mean age was(51.22±12.36)years.There were no statistically significant differences in baseline characteristics including age,gender,tumor location and size between the two patient groups(P＞0.05).ICA/ECA splaying was significantly associated with SCCS(P＜0.001),while the ICA/IJV splaying was significantly associated with VNCS(P＜0.001).Lateral and posterior ICA displacement were significantly associated with SCCS(P＜0.001),and medial and anterior ICA displacement were significantly associated with VNCS(P＜0.001).Five features including tumor size,ICA displacement direction,IJV displacement direction,ICA/ECA splaying and ICA/IJV splaying were used to establish the Diagnosis Score and nomogram.The nomogram combined imaging features showed favorable preference value for differentiating VNCS from SCCS,with area under curve(AUC)values of 0.953(95%CI:0.912-0.994)and 0.939(95%CI:0.885-0.993)for the training and validation cohorts,respectively.Conclusion:The Diagnosis Score and vascular displacement nomogram showed favorable predictive efficacy for differentiating VNCS from SCCS in the neck,and might be useful for clinical decision-making.

AIM:To observe the changes of atrial fibrillation susceptibility,and the remodeling of atrial myo-cyte action potential,ultrarapid activation delayed rectifier potassium current(IKur)and transient outward potassium cur-rent(Ito)in elderly mice,and to explore the mechanism of atrial fibrillation from the single cell electrophysiological level.METHODS:The C57BL/6J mice were divided into old group(20 months old)and young group(4 months old).Atrial fi-brillation was induced by esophageal atrial pacing.The atrial myocytes were isolated,and action potential and ion currents were recorded with patch-clamp technique.The associated proteins were detected by Western blot technique.RE-SULTS:(1)Compared with young mice,the total incidence of atrial fibrillation was significantly increased in old mice(20.0%at 4 months old vs 60.0%at 20 months old,P<0.01).(2)The action potential duration of atrial myocytes in aged mice was shortened,and more significantly after stimulation.(3)The density of Ito and IKur in atrial myocytes of aged mice increased significantly,from(12.6±1.4)pA/pF to(21.7±1.1)pA/pF,and from(7.5±1.5)pA/pF to(13.3±2.1)pA/pF,respectively(P<0.01).After stimulation,the current increased more significantly,especially in older atrial cells.Compared with the young mice,the steady-state activation curve of Ito in the atrial myocytes of the aged mice shifted towards the depolarization,suggesting that activation of Ito channels in the aged mice increased at the same voltage stimula-tion.(4)Compared with young group,the expression of KV4.2(generating Ito)and KV1.5(generating IKur)proteins in the atrial tissue of the mice in old group was significantly increased,and the expression of caveolin-3 and end-binding protein 1(EB1)was up-regulated,suggesting that the increases in KV4.2 and KV1.5 total channel proteins and effective proteins in the cell membrane might contribute to the increase in the remodeling of potassium currents in the elderly atrial myo-cytes.CONCLUSION:The incidence of atrial fibrillation in elderly mice is significantly augmented,which may be related to the increases in Ito and IKur in atrial myocytes.The remodeling of potassium currents in elderly atrial myocytes is one of the electrophysiological bases leading to the shortening of action potential duration and the occurrence of atrial fibrillation.

Objective:This study aimed to identify key genes in endothelial cell (EC) associated with the pathogenesis and progression of human venous malformations (VMs) through bioinformatics analysis, providing potential biomarkers for early screening and targeted therapy of VMs.Methods:A case-control study was conducted using surgically resected tissue specimens from VMs patients at the Third Affiliated Hospital of Zhengzhou University (from September 2021 to September 2023), with malformed venous tissues as the experimental group and distal normal venous tissues as controls. Single-nucleus RNA sequencing (snRNA-seq) was performed on paired experimental and control samples from four VM patients. High-dimensional weighted gene co-expression network analysis (hdWGCNA), combined with gene ontology (GO), Kyoto encyclopedia of genes and genomes (KEGG), and protein-protein interaction (PPI) network analysis, identified critical genes. Validation experiments included 15 additional VM cases and controls using reverse transcription quantitative polymerase chain reaction (RT-qPCR), immunohistochemistry (IHC), and Western blot.Results:A total of 55 430 nuclei were captured using snRNA-seq, with 30 391 nuclei from the experimental group and 25 039 nuclei from the control group. Cluster analysis identified 22 distinct cell populations, which were annotated into 8 cell types. hdWGCNA revealed four modules associated with invasion, which were enriched in angiogenesis, integrin signaling, and cell adhesion according to GO analysis. KEGG pathway analysis indicated that the PI3K-AKT signaling pathway and focal adhesion are key regulatory mechanisms. PPI network analysis combined with cytoscape identified EGFL7, TEK, and FLT1 as key genes. RT-qPCR results demonstrated that the relative mRNA expression levels of these three genes in the experimental group (6.66±2.31, 1.86±0.62, 3.49±0.58) were significantly higher than those in the control group (1.05±0.14, 1.00±0.14, 1.06±0.25), with statistically significant differences ( t=9.37, 4.27, 11.20, P<0.05). Immunohistochemical analysis showed that the relative protein expression levels of these three genes in the cytoplasm of the experimental group (0.84±0.15, 0.68±0.14, 0.85±0.12) were also significantly higher than those in the control group (0.19±0.05, 0.23±0.06, 0.30±0.05), with statistically significant differences ( t=16.62, 5.93, 11.68, P<0.05). Western blot analysis confirmed that the relative protein expression levels of these three genes in the experimental group (0.35±0.04, 0.36±0.09, 0.31±0.04) were significantly higher than those in the control group (0.19±0.01, 0.13±0.02, 0.14±0.04), with statistically significant differences ( t=7.05, 4.61, 5.93, P<0.05). Conclusion:EGFL7, FLT1, and TEK in EC may play crucial roles in the occurrence and invasion of VMs.

Objective To investigate the protective effects and potential mechanisms of tetrahydrocurcumin(THC)on thoracic aortic aneurysm and dissection(TAAD)in mice.Methods TAAD was induced in 3-week-old C57BL/6J mice by oral administration of β-aminopropionitrile(BAPN)(diluted in drinking water,1 g/(kg·d)).Eighty mice were divided randomly into Con,BAPN,BAPN+THC,and BAPN+THC+3-TYP(SIRT3 inhibitor)groups(n=20 mice per group).The survival rate of mice in each group was recorded after 4 weeks.The maximum diameter of the aorta was measured and the histomorphology and aortic wall elastin integrity were evaluated by hematoxylin and eosin and elastin van Gieson staining.Macrophage infiltration was detected by immunohistochemical staining and α-smooth muscle actin(α-SMA)and osteopontin(OPN)expression were detected by immunofluorescence staining.The production of reactive oxygen species(ROS)was measured by dihydroethidium staining and superoxide dismutase(SOD)activity and malondialdehyde(MDA)levels were determined using kits.Protein expression levels of matrix metalloproteinase(MMP)2,MMP9,interleukin(IL)-6,tumor necrosis factor(TNF)-α,nuclear factor erythroid 2-related factor 2(NRF2),NADPH oxidase 2(NOX2),α-SMA,OPN,sirtuin 3(SIRT3),Ac-SOD2,and SOD2 were measured by Western Blot.Results Mice in the BAPN+THC group showed significantly higher survival and a lower incidence of TAAD compared with the BAPN group and the degree of aortic dilatation and morphology and structure were improved(P＜0.05).Infiltration of CD68-positive macrophages and MMP2,MMP9,IL-6,and TNF-α expression levels were lower(P＜0.05),ROS generation,MDA content,and NOX2 expression in aortic tissue were also significantly decreased,while SOD activity and NRF2 expression were increased(P＜0.05).α-SMA expression was also increased,while OPN expression was reduced(P＜0.05).SIRT3 expression was increased while the Ac-SOD2/SOD2 ratio was decreased(P＜0.01).Treatment with the SIRT3-specific inhibitor and silencing of SIRT3 counteracted the ability of THC to resist TAAD via the SIRT3 signaling pathway(all P＜0.05).Conclusions THC alleviated inflammation and oxidative stress in aortic tissues by activating the SIRT3 signaling pathway,thus inhibiting the phenotypic transformation of vascular smooth muscle cells and resisting the formation of TAAD in mice.

Objective To investigate the protective effects and potential mechanisms of tetrahydrocurcumin(THC)on thoracic aortic aneurysm and dissection(TAAD)in mice.Methods TAAD was induced in 3-week-old C57BL/6J mice by oral administration of β-aminopropionitrile(BAPN)(diluted in drinking water,1 g/(kg·d)).Eighty mice were divided randomly into Con,BAPN,BAPN+THC,and BAPN+THC+3-TYP(SIRT3 inhibitor)groups(n=20 mice per group).The survival rate of mice in each group was recorded after 4 weeks.The maximum diameter of the aorta was measured and the histomorphology and aortic wall elastin integrity were evaluated by hematoxylin and eosin and elastin van Gieson staining.Macrophage infiltration was detected by immunohistochemical staining and α-smooth muscle actin(α-SMA)and osteopontin(OPN)expression were detected by immunofluorescence staining.The production of reactive oxygen species(ROS)was measured by dihydroethidium staining and superoxide dismutase(SOD)activity and malondialdehyde(MDA)levels were determined using kits.Protein expression levels of matrix metalloproteinase(MMP)2,MMP9,interleukin(IL)-6,tumor necrosis factor(TNF)-α,nuclear factor erythroid 2-related factor 2(NRF2),NADPH oxidase 2(NOX2),α-SMA,OPN,sirtuin 3(SIRT3),Ac-SOD2,and SOD2 were measured by Western Blot.Results Mice in the BAPN+THC group showed significantly higher survival and a lower incidence of TAAD compared with the BAPN group and the degree of aortic dilatation and morphology and structure were improved(P＜0.05).Infiltration of CD68-positive macrophages and MMP2,MMP9,IL-6,and TNF-α expression levels were lower(P＜0.05),ROS generation,MDA content,and NOX2 expression in aortic tissue were also significantly decreased,while SOD activity and NRF2 expression were increased(P＜0.05).α-SMA expression was also increased,while OPN expression was reduced(P＜0.05).SIRT3 expression was increased while the Ac-SOD2/SOD2 ratio was decreased(P＜0.01).Treatment with the SIRT3-specific inhibitor and silencing of SIRT3 counteracted the ability of THC to resist TAAD via the SIRT3 signaling pathway(all P＜0.05).Conclusions THC alleviated inflammation and oxidative stress in aortic tissues by activating the SIRT3 signaling pathway,thus inhibiting the phenotypic transformation of vascular smooth muscle cells and resisting the formation of TAAD in mice.

Background and purpose:Accurate preoperative differentiation between vagal nerve cervical schwannomas(SCCS)and sympathetic chain cervical schwannomas(SCCS)in the neck is crucial because of their different postoperative complication.This study aimed to construct and validate a Diagnosis Score and vascular displacement nomogram for the preoperative differentiation of VNCS from SCCS in the neck.Methods:This cross-sectional study retrospectively analyzed patients with pathologically confirmed VNCS and SCCS at Fudan University Shanghai Cancer Center from January 2017 to April 2022.This study was approved by the medical ethics committee of Fudan University Shanghai Cancer Center(approval number:1612167-18).Inclusion criteria:① histopathological diagnosis of VNCS or SCCS through biopsy or surgical resection;② patients with complete clinic data;③availability of preoperative contrast-enhanced computed tomography(CT)or magnetic resonance imaging(MRI)examinations.Patients were excluded for:① contrast agent contraindications;② poor image quality;③ severe artifacts;④ non-standard scanning protocols.The cohort was randomly divided into training and validation sets in a 7∶3 ratio.Two radiologists(one resident and one attending physician)independently evaluated tumor characteristics(location,size and vascular displacement patterns)on preoperative imaging.Independent predictors were selected using LASSO regression analysis to construct a diagnostic scoring system and nomogram,with model performance evaluated by the receiver operating characteristic(ROC)curve.Results:A total of 110 patients were enrolled,with 77 cases allocated to the training set and 33 cases to the validation set.The age range was 24-78 years,and the mean age was(51.22±12.36)years.There were no statistically significant differences in baseline characteristics including age,gender,tumor location and size between the two patient groups(P＞0.05).ICA/ECA splaying was significantly associated with SCCS(P＜0.001),while the ICA/IJV splaying was significantly associated with VNCS(P＜0.001).Lateral and posterior ICA displacement were significantly associated with SCCS(P＜0.001),and medial and anterior ICA displacement were significantly associated with VNCS(P＜0.001).Five features including tumor size,ICA displacement direction,IJV displacement direction,ICA/ECA splaying and ICA/IJV splaying were used to establish the Diagnosis Score and nomogram.The nomogram combined imaging features showed favorable preference value for differentiating VNCS from SCCS,with area under curve(AUC)values of 0.953(95%CI:0.912-0.994)and 0.939(95%CI:0.885-0.993)for the training and validation cohorts,respectively.Conclusion:The Diagnosis Score and vascular displacement nomogram showed favorable predictive efficacy for differentiating VNCS from SCCS in the neck,and might be useful for clinical decision-making.

Objective:To develop a risk prediction model for moderate to severe orthodontic-induced inflammatory root resorption (OIIRR) of maxillary incisors based on cone beam CT (CBCT) radiomics features and clinical characteristics of the orthodontic patients.Methods:Clinical and CBCT data from 101 orthodontic patients treated by the same attending orthodontist in the Department of Orthodontics, Stomatology Hospital of Tianjin Medical University from January 2019 to January 2024 were retrospectively collected. The sample included 42 class Ⅰ patients, 52 class Ⅱ patients and 7 class Ⅲ patients [age: (19.7±6.3) years], and a total of 394 maxillary incisors were analyzed. Potential influencing factors for moderate to severe OIIRR (root volume resorption rate≥10%) were collected from the patients′ CBCT and medical records, including initial age, gender, treatment duration, Angle′s classification, extraction or not, type of orthodontic appliance (fixed or clear aligner), changes in root inclination, root movement distance and direction, pre-treatment cephalometric measurements, pre-treatment root-bone relationship, pre-treatment root length, and pre-treatment radiomics features of the teeth. Univariate analysis was initially performed to screen for factors influencing moderate to severe OIIRR. Subsequently, least absolute shrinkage and selection operator (LASSO) regression, best subset regression, and random forest were used for feature selection to construct the OIIRR risk prediction model. The discrimination, calibration, and net benefit of the three risk prediction models were evaluated, and the optimal model was displayed using a nomogram.Results:LASSO regression identified clinical features including initial age (LASSO coefficient 0.052), treatment duration (LASSO coefficient 0.024), pre-treatment root length (LASSO coefficient -0.023), and vertical root movement distance (LASSO coefficient -0.029). Initial age and treatment duration were positively correlated with the severity of OIIRR, while root length and vertical root movement distance were negatively correlated. A total of 14 radiomics features were identified, including 2 original image features and 12 wavelet features. Best subset regression identified vertical root movement distance as the clinical feature and 7 radiomics features, including 1 original image feature and 6 wavelet features. The random forest model identified 8 wavelet features as important predictors, and all of which were radiomics features. Model performance evaluation showed that the random forest model had the highest discrimination, calibration, and net benefit, making it the optimal model, with radiomics features being the most important predictors.Conclusions:Based on the data from this study, radiomics features were identified as the most important predictors by the optimal model for OIIRR risk prediction. Predicting the occurrence of moderate to severe OIIRR before orthodontic treatment held potential clinical application value.