Objective: To investigate the associations between 24 hour activity and the quality of life (QoL) in children with autism spectrum disorder (ASD), and to explore their isotemporal substitution effects, providing a reference for developing intervention strategies of their QoL. Methods: From March to June 2025, 288 children with ASD from 7 special education schools in Jinan were selected by using a cluster random sampling method. The 24 hour activity was measured by using ActiGraph wGT3X-BT triaxial accelerometers, and their QoL was assessed by applying a parent proxy Pediatric Quality of Life Inventory. Multiple linear regression was employed to analyze the associations between 24 hour activity and QoL in children with ASD. Isotemporal substitution analysis was applied to analyze the dose response relationship of 24 hour activity time and the QoL scores in children with ASD. Results: Within the 24 hour activities of children with ASD, the daily time spent in sleep, sedentary behavior (SB), light physical activity (LPA), and moderate to vigorous physical activity (MVPA) were 610.49，605.80，195.49，28.22 minutes, respectively. Multiple linear regression analysis showed that, after controlling for confounding factors such as gender, age, and parental education level, the proportion of time spent in MVPA was positively associated with QoL scores ( β =1.75) in children with ASD, whereas the proportion of time spent in SB was negatively associated with QoL scores ( β =-1.00)(both P <0.01). In the dose response relationship, reallocating time from sleep, SB, and LPA to MVPA was associated with an improvement in QoL in children with ASD, with increased scores of 1.38, 1.55, 1.47, respectively; conversely, the reverse substitution was associated with a decline in QoL, and the scores decreased by 2.31, 2.99 and 2.68, respectively, with the latter demonstrating a more pronounced effect(all P <0.05). Conclusions Enhancing the QoL for children with ASD should be grounded in the overall balance of 24 hour activity. Time reallocation strategies should be implemented with an emphasis on relatively increasing MVPA and reducing SB.

Periodontal bone defects, primarily caused by periodontitis, are highly prevalent in clinical settings and manifest as bone fenestration, dehiscence, or attachment loss, presenting a significant challenge to oral health. In regenerative medicine, harnessing developmental principles for tissue repair offers promising therapeutic potential. Of particular interest is the condensation of progenitor cells, an essential event in organogenesis that has inspired clinically effective cell aggregation approaches in dental regeneration. However, the precise cellular coordination mechanisms during condensation and regeneration remain elusive. Here, taking the tooth as a model organ, we employed single-cell RNA sequencing to dissect the cellular composition and heterogeneity of human dental follicle and dental papilla, revealing a distinct Platelet-derived growth factor receptor alpha (PDGFRA) mesenchymal stem/stromal cell (MSC) population with remarkable odontogenic potential. Interestingly, a reciprocal paracrine interaction between PDGFRA⁺ dental follicle stem cells (DFSCs) and CD31⁺ Endomucin⁺ endothelial cells (ECs) was mediated by Vascular endothelial growth factor A (VEGFA) and Platelet-derived growth factor subunit BB (PDGFBB). This crosstalk not only maintains the functionality of PDGFRA⁺ DFSCs but also drives specialized angiogenesis. In vivo periodontal bone regeneration experiments further reveal that communication between PDGFRA⁺ DFSC aggregates and recipient ECs is essential for effective angiogenic-osteogenic coupling and rapid tissue repair. Collectively, our results unravel the importance of MSC-EC crosstalk mediated by the VEGFA and PDGFBB-PDGFRA reciprocal signaling in orchestrating angiogenesis and osteogenesis. These findings not only establish a framework for deciphering and promoting periodontal bone regeneration in potential clinical applications but also offer insights for future therapeutic strategies in dental or broader regenerative medicine.
Receptor, Platelet-Derived Growth Factor alpha/metabolism* ; Humans ; Neovascularization, Physiologic/physiology* ; Dental Sac/cytology* ; Single-Cell Analysis ; Transcriptome ; Mesenchymal Stem Cells/metabolism* ; Bone Regeneration ; Animals ; Dental Papilla/cytology* ; Periodontium/physiology* ; Stem Cells/metabolism* ; Regeneration ; Angiogenesis

Objective To investigate the predictive value of labor progress angle (AOP), fetal head descent distance (HPD) and their change rates in the outcome of vaginal trial of cesarean scar uterus. Methods A total of 170 pregnant women who underwent vaginal trial production of scar uterus after cesarean section were selected as study subjects, and were divided into successful group and failed group based on the trial production outcomes. Advanced oxidation processes (AOP) and head-perineum distance (HPD) were measured by ultrasound during the active phase of the first stage of labor when the cervix dilated to 4 cm and at 1 hour after the cervix dilated to 4 cm, respectively. The AOP change rate and HPD change rate after 1 hour of progress were calculated. The receiver operating characteristic (ROC) curve was used to analyze the predictive efficacy of AOP, HPD and their change rates in the outcome of vaginal trial production of scar uterus after cesarean section. Delong test was used to compare the differences in area under curves (AUCs). Results Among 170 pregnant women with scarred uterus after cesarean section who were pregnant again, 139 cases (success group) were succeed in transvaginal delivery, while 31 cases failed trial delivery, and transferred to cesarean section (failure group). The AOP of the successful group was significantly larger than that of the failed group when the cervix was opened to 4 cm, and the HPD was significantly shorter than that of the failure group (P < 0.05). The AOP change rate and the change rate of HPD of the successful group were significantly higher than that of the failed group when the cervix dilated to 4 cm and at 1 hour (P < 0.05). The AUC of AOP and HPD in predicting the outcome of vaginal trial delivery of scar uterus after cesarean section were 0.846 and 0.812 respectively, and AUC predicted jointly by AOP and HPD showed no significant differences compared with AUC predicted separately (P>0.05). The AUC of the change rate of AOP and HPD in predicting the outcome of vaginal trial delivery of scarred uterus after cesarean section was 0.899 and 0.852 respectively, and the combined prediction of AOP change rate and HPD change rate had a higher AUC value than the AUC predicted separately. Its AUC value was higher than that of AOP combined with HPD (P < 0.05). Conclusion The AOP, HPD and their change rates when the uterine orifice expands to 4 cm in the active phase of the first stage of labor have predictive value for the outcome of vaginal trial production of scarred uterus after cesarean section.

Objective For patient-specific open-wedge high tibial osteotomy(OWHTO),a novel anatomical fixation plate was designed,and the effects of geometric parameters and material selection on biomechanical fixation were studied.Methods A patient-specific OWHTO anatomical fixation plate was designed and constructed,and the effects of design parameters(thickness,width,and length of the fixation plate)and four different materials(stainless steel,titanium alloy,magnesium alloy,and PEEK)on the biomechanics of the OWHTO fixation system were studied using finite element analysis.The biomechanical differences between the anatomical fixation plate and TomoFix fixation plate were also compared.Results The thickness had a greater effect on the micromotion of the osteotomy space than the length and width of the fixation plate did.Titanium alloy or magnesium alloy fixation plates were more conducive than stainless steel and PEEK materials in obtaining reasonable stability and mechanical transfer simultaneously.Compared with that of the TomoFix plate,the maximum von Mises stress of the anatomical fixation plate was reduced by 13.5%;the maximum von Mises stress of the screws and tibia was increased by 9.8%and 18.4%,respectively;and the micromotion at the maximum osteotomy space cc was increased by 49.3%.Conclusions Anatomical fixation plates have a positive effect on reducing the stress-shielding effect and improving biomechanical properties under the premise of ensuring stability.This study provides a reference for the development of OWHTO anatomical fixation plates.

Objective: To study the association between 24 h activities and Fundamental Motor Skills (FMS) among children with autism spectrum disorder (ASD) using compositional data analysis, and the expected changes in FMS after isochronous substitution of each activity, in order to provide reference basis for improving FMS levels in children with ASD. Methods: From October 2023 to April 2024, a total of 301 children with ASD aged 6-10 from 7 special education schools in Jinan, were investigated by cluster random sampling, and 24 h movement behaviors were calculated based on accelerator data. Test of Gross Motor Development- 2 was used to assess FMS. R software was used to perform the descriptive statistical, multiple linear regression and isochronous substitution analyses. Results: The proportion of moderatevigorous physical activity (MVPA) in children with ASD was positively related with FMS scores, locomotor, and object control skills ( β=12.42, 6.32, 6.10, P <0.01). Reallocating 15 min from sleep (SLP) to MVPA resulted in respective increases of 3.66, 1.91, and 1.75 points in FMS scores, locomotor skills, and object control skills ( P <0.05). Reallocating 15 min from sedentary behavior (SB) to MVPA resulted in respective increases of 3.72, 1.88 , and 1.83 points in FMS scores, locomotor skills, and object control skills ( P <0.05). Reallocating 15 min from light physical activity (LPA) to MVPA resulted in respective increases of 3.32, 1.57, and 1.74 points in FMS scores, locomotor skills, and object control skills ( P <0.05). Moreover, reallocating 15 min from SB to LPA resulted in an increase of 0.28 points in locomotor skills ( P <0.05). Dose response analysis revealed that substitution of MVPA for SLP, SB, and LPA in children with ASD enhanced their FMS levels, and their substitution was asymmetrical; and substitution of LPA for SB enhanced locomotor skills level. Conclusions Among the 24 h movement behaviors, increasing the time spent on MVPA and LPA have positive impacts on the FMS of children with ASD. Schools and families should optimize the allocation of 24 h activity time in children with ASD, so as to promote the improvement of FMS levels of children with ASD.

Objective:To evaluate the diagnostic efficacy and practicality of the Jaundice color card (JCard) as a screening tool for neonatal jaundice.Methods:Following the standards for reporting of diagnostic accuracy studies (STARD) statement, a multicenter prospective study was conducted in 9 hospitals in China from October 2019 to September 2021. A total of 845 newborns who were admitted to the hospital or outpatient department for liver function testing due to their own diseases. The inclusion criteria were a gestational age of ≥35 weeks, a birth weight of ≥2 000 g, and an age of ≤28 days. The neonate′s parents used the JCard to measure jaundice at the neonate′s cheek. Within 2 hours of the JCard measurement, transcutaneous bilirubin (TcB) was measured with a JH20-1B device and total serum bilirubin (TSB) was detected. The Pearson′s correlation analysis, Bland-Altman plots and the receiver operating characteristic (ROC) curve were used for statistic analysis.Results:Out of the 854 newborns, 445 were male and 409 were female; 46 were born at 35-36 weeks of gestational age and 808 were born at ≥37 weeks of gestational age. Additionally, 432 cases were aged 0-3 days, 236 cases were aged 4-7 days, and 186 cases were aged 8-28 days. The TSB level was (227.4±89.6) μmol/L, with a range of 23.7-717.0 μmol/L. The JCard level was (221.4±77.0) μmol/L and the TcB level was (252.5±76.0) μmol/L. Both the JCard and TcB values showed good correlation ( r=0.77 and 0.80, respectively) and agreements (96.0% (820/854) and 95.2% (813/854) of samples fell within the 95% limits of agreement, respectively) with TSB. The JCard value of 12 had a sensitivity of 0.93 and specificity of 0.75 for identifying a TSB ≥205.2?μmol/L, and a sensitivity of 1.00 and specificity of 0.35 for identifying a TSB ≥342.0?μmol/L. The TcB value of 205.2?μmol/L had a sensitivity of 0.97 and specificity of 0.60 for identifying TSB levels of 205.2 μmol/L, and a sensitivity of 1.00 and specificity of 0.26 for identifying TSB levels of 342.0 μmol/L. The areas under the ROC curve (AUC) of JCard for identifying TSB levels of 153.9, 205.2, 256.5, and 342.0 μmol/L were 0.96, 0.92, 0.83, and 0.83, respectively. The AUC of TcB were 0.94, 0.91, 0.86, and 0.87, respectively. There were both no significant differences between the AUC of JCard and TcB in identifying TSB levels of 153.9 and 205.2 μmol/L (both P>0.05). However, the AUC of JCard were both lower than those of TcB in identifying TSB levels of 256.5 and 342.0 μmol/L (both P<0.05). Conclusions:JCard can be used to classify different levels of bilirubin, but its diagnostic efficacy decreases with increasing bilirubin levels. When TSB level are ≤205.2 μmol/L, its diagnostic efficacy is equivalent to that of the JH20-1B. To prevent the misdiagnosis of severe jaundice, it is recommended that parents use a low JCard score, such as 12, to identify severe hyperbilirubinemia (TSB ≥342.0 μmol/L).

Objective:To analyze the immune microenvironment characteristics of human dental follicle tissues from the third molars and to explore the mutual communication and the effects of innate immune cells and adaptive immune cells within the dental follicle.Methods:Sequencing data(GSA-Human:HRA008022)in the GSA database were analyzed.Bioinformatics tools were employed for gene identification and GO enrichment analysis was performed to define the biological function of innate and adaptive immune cells.CellChat analysis was used for explaining intercellular communication among immune cell populations.Results:Using t-SNE dimen-sionality reduction analysis for immune cell populations,innate immune cell populations were obtained,including innate lymphoid cells,dendritic cells,mast cells and macrophages,and adaptive immune cell populations including T cells and B cells.Pearson corre-lation analysis showed that innate immune cells,specifically innate lymphoid cells and macrophages,had a strong correlation with adap-tive immune cell populations.GO enrichment analysis revealed mutual coordination among innate immune cell populations and regulato-ry effects on adaptive immune cell populations.Further CellChat analysis indicated biological signal transmission between innate and a-daptive immune cell populations,with CLEC,MIF,ADGRE5,COLLAGEN and MIF signaling pathways is the most significant.Con-clusion:Dental follicle tissues are rich in immune cells and innate immune cell populations interact with adaptive immune cells to regulate immune responses and participate in maintaining the homeostasis of dental follicle.

Objective To explore the value of machine learning(ML)models based on non-contrast CT(NCCT)radiomics features for predicting the severity of acute phase traumatic brain injury(TBI).Methods Totally 600 TBI patients were retrospectively collected as observation group,other 65 TBI patients were taken as external validation set,while 50 TBI patients were prospectively enrolled as prospective validation set.Patients in observation group were divided into high-risk subgroup(n=240)and low-risk subgroup(n=360)according to Glasgow outcome scale(GOS)at discharge.The severity of acute phase TBI in observation group was assessed by doctor A and B with the same criteria,then an artificial model was established based on clinical and NCCT data at the time of first diagnosis using logistic regression(LR)method for predicting the severity of acute phase TBI.Patients in observation group were divided into training set(n=420,including 168 in high-risk subgroup and 252 in low-risk subgroup)and test set(n=180,including 72 in high-risk subgroup and 108 in low-risk subgroup)at the ratio of 7∶3.Based on NCCT of training set,radiomics features were extracted and selected,and LR,support vector machine(SVM),random forest(RF)and K-nearest neighbor(KNN)were used to establish 4 ML models.The efficacies of the above models were validated in test set,external validation set(including 34 cases of high-risk and 31 cases of low-risk TBI)and prospective validation set(including 21 cases of high-risk and 29 cases of low-risk TBI),respectively.Results The area under the curve(AUC)of doctor A and B for evaluating the severity of acute phase TBI in observation group was 0.606 and 0.771,respectively,of artificial model was 0.824.Based on NCCT in training set,6 optimal radiomics features were selected to construct LR,SVM,RF and KNN ML models,with AUC of 0.983,0.971,0.970 and 0.984 in test set,respectively,while the AUC of artificial model was 0.708.The AUC of LR,SVM,RF,KNN ML models and artificial model in external validation set was 0.879,0.881,0.984,0.863 and 0.733,while in prospective validation set was 0.984,0.873,0.982,0.897 and 0.704,respectively.Conclusion ML models based on CT radiomics could effectively predict the severity of acute phase TBI.

Objective:To retrieve, evaluate and integrate the best evidence for cognitive behavioral therapy for improving psychosomatic symptoms in chronic obstructive pulmonary disease (COPD) patients.Methods:According to the "6S" model, evidence related to the cognitive behavioral therapy of COPD patients, including clinical practice guidelines, evidence summaries, expert consensus, systematic reviews and original research, was searched in UpToDate, Joanna Briggs Institute Center for Evidence-Based Health Care database, BMJ Best Practice, Cochrane Library, Guidelines International Network, National Institute for Health and Clinical Excellence, Registered Nurses' Association of Ontario, Medlive, Global Initiative for Chronic Obstructive Lung Disease, PubMed, Embase, Web of Science, China Biology Medicine disc, China National Knowledge Infrastructure, Wanfang database and VIP. The search deadline was from the establishment of the databases to November 21, 2022. Two researchers independently evaluated the quality of the literature and extracted and summarized evidence from the literature that met the quality standards.Results:A total of 13 articles were included, including 2 clinical decision-making articles, 3 guidelines, 1 expert consensus, 3 systematic evaluations, 1 Meta-analysis and 3 randomized controlled trials. Finally, 21 pieces of evidence were formed from three aspects, such as establishing trust relationships, cognitive therapy and behavioral therapy.Conclusions:This study summarizes the best evidence for cognitive behavioral therapy to improve psychosomatic symptoms of COPD patients, in order to provide evidence-based evidence for cognitive behavioral therapy in COPD patients.

Objective:To explore the relationship between metabolic score for insulin resistance (METS-IR) and chronic kidney disease (CKD) and albuminuria in the Chinese population.Methods:This cross-sectional study was conducted from January to December 2018 among residents aged 20 to 70 years in ten regions of eight provinces in China; all residents had lived in their region for more than 5 years. Various parameters were measured, included fasting blood glucose, 2-hour postprandial blood glucose, glycosylated hemoglobin (HbA 1c), blood lipids, renal function, urinary albumin/creatinine ratio (UACR), etc. Data of 5 060 subjects meeting the criteria were included in the study. CKD was defined as estimated glomerular filtration rate (eGFR)<60 ml·min -1·1.73 m -2 or UACR≥30 mg/g. Albuminuria was defined as UACR≥30 mg/g. METS-IR was calculated and categorized into quartiles: Q1, METS-IR≤32.19; Q2, METS-IR 32.20-37.10; Q3, METS-IR 37.11-42.58; and Q4, METS-IR>42.58. The correlation between METS-IR and CKD and albuminuria was analyzed by binary logistic regression, and subgroup analyses were performed. Results:There were 1 266, 1 266, 1 265, and 1 263 participants included in Q1-Q4 groups, respectively. With the increase of METS-IR quartile, various parameters increased, including age, fasting blood glucose, HbA 1c, triglycerides, serum uric acid, waist circumference, body mass index, and systolic and diastolic blood pressure, and the proportion of males also increased (all P<0.05). The proportion of patients with CKD and albuminuria increased significantly with the increase in interquartile range (Q) of METS-IR (all P<0.05). Logistic regression analysis showed that for every 1-unit increment of METS-IR, the risk of CKD and albuminuria were both increased by 2% [for both: odds ratio ( OR)=1.02, 95% confidence interval ( CI) 1.01-1.03]. Compared with the lowest METS-IR group (Q1), the ORs for CKD and albuminuria in the highest METS-IR group (Q4) were 1.57 (95% CI 1.17-2.10) and 1.46 (95% CI 1.09-1.96), respectively. In the subgroup analyses, increased METS-IR was significantly associated with CKD and albuminuria among women (CKD: OR=1.62, 95% CI 1.14-2.31; albuminuria: OR=1.53, 95% CI 1.07-2.18), individuals with HbA 1c<7% ( OR=1.64, 95% CI 1.21-2.23; OR=1.55, 95% CI 1.14-2.11), individuals with eGFR≥90 ml·min -1·1.73 m -2 ( OR=1.78, 95% CI 1.27-2.49; OR=1.80, 95% CI 1.28-2.53), and the Chinese Han population ( OR=1.56, 95% CI 1.13-2.17; OR=1.41, 95% CI 1.01-1.96). Conclusions:METS-IR is significantly associated with CKD and albuminuria in a Chinese population. Furthermore, the higher the METS-IR, the higher the risk of CKD and albuminuria.