Objective:To explore the effect of thymol on improving the core symptoms of autism through regulating scinderin expres-sion in autism spectrum disorder(ASD)rats by constructing valproic acid-induced ASD rat model and intervening with thymol.Methods:The ASD-like behaviors of rats were observed using three box social experiment,open field experiment,and youth social ex-periment.RNA-seq was used to detect the expression of RNA in the prefrontal cortex of rats.The protein level of scinderin in the pre-frontal cortex of rats was measured by Western blot.Results:Compared with the rats in the control group,the rats in the model group showed ASD-like behaviors,including decreased social ability,impaired social preference,decreased exploration ability,and repeated stereotyped behavior.Compared with the control group,the model group showed reduced standing times(P<0.001)and increased self combing time(P=0.003).Moreover,the expression level of scinderin in the prefrontal cortex increased in model rats.After thymol treat-ment,the ASD-like behaviors in the model group were significantly improved.Compared with the model group,the number of standing times in the intervention group increased(P<0.001)and the self grooming time decreased(P=0.004).The expression of scinderin basi-cally returned to the normal level.Conclusion:The abnormal expression of scinderin in the prefrontal cortex of ASD model rats can lead to ASD-like behaviors.Thymol intervention can reduce the expression of scinderin and improve the core symptoms of ASD.

Objective·To investigate the causal relationship between plasma zinc-alpha-2-glycoprotein 1(AZGP1)and heart failure(HF)by using Mendelian randomization(MR)analysis and experimental validation.Methods·A two-sample MR analysis was performed to assess the causal relationship between AZGP1 and HF by integrating large-scale genome-wide association study(GWAS)data on plasma proteins and HF.The inverse-variance weighted(IVW)method was employed as the primary analytical approach,supplemented by MR-Egger regression,weighted median,and simple median methods.Horizontal pleiotropy was tested by using MR-PRESSO global test and MR-Egger intercept analysis.Colocalization analysis was conducted to validate genetic locus overlap.Additionally,a clinical cohort(84 HF patients and 68 healthy controls)was analyzed,with plasma AZGP1 levels quantified by enzyme-linked immunosorbent assay(ELISA).Results·MR analysis showed that elevated plasma AZGP1 levels were significantly associated with reduced HF risk(OR=0.82,95%CI 0.75?0.90,P=1.70×10-5).Colocalization analysis confirmed that AZGP1 expression and HF shared causal genetic variants(posterior probability for H4=0.69).Sensitivity and reverse MR analyses supported the robustness of the results.ELISA confirmed that plasma AZGP1 levels were significantly lower in HF patients compared to healthy controls,reinforcing its protective role in HF.Conclusion·This study demonstrates AZGP1 exerts a protective causal effect on HF and may serve as a potential biomarker for HF treatment.

Abnormal deployment of the airbag during a frontal car collision can cause injuries to the upper extremity of drivers with non-standard driving postures.Finite element simulation offers an effective approach for evaluating such injury risks.In this study,a biomechanical finite element model of the upper limb of the 95th percentile human body with detailed anatomical structures was developed.The validity of the upper extremity-airbag collision model was confirmed by reconstructing the cadaveric forearm and airbag impact experiments.Based on the validated model,the influence of factors such as airbag mass rate parameters,upper limb grip angle,and grip force on upper limb injuries in frontal collisions was investigated.The results indicate that variations in these three parameters have a significant influence on upper extremity injury,and these factors should be considered in the assessment of upper extremity injuries during car collision.

Based on CT scan data,a bionic model of lumbar spine injuries with high biofidelity is developed and validated through cadaver experiments.Decoupling the constraint system that affects occupants during collisions due to inertial forces and the subsequent pressure exerted by the seat upon returning to position,a simulated fall experiment is designed.The simulated outcomes are trained and predicted using deep learning algorithms,and the accuracy of the trained neural network prediction model is verified.Key parameters are analyzed for correlation using principal component analysis and cross-reverse methods.The results shows that the predicted lumbar spine injury model obtained from training has high reliability(R2>0.9).Comprehensive analysis reveals that after experiencing axial impact,the L4 vertebral body bears the highest impact load and can be used as a representative measure of lumbar spine injury.Among the environmental variables,the axial force on the L4 lumbar spine is mainly affected by torso mass and fall height,both of which have positive correlations.Torso mass,fall height,and posture angle all have positive effects on internal energy.Conversely,torso mass and fall height have negative correlations with stress.These research findings provide a scientific basis for further elucidating lumbar spine injury mechanisms in intelligent cockpit environments,devising corresponding safety protection measures,and evaluating occupant safety in automobiles.

Objective The finite element pelvis model with detailed anatomical structures which meets the Chinese human 95th percentile characteristics is developed,and the influence of cortical bone modeling method on the biomechanical response of the real pelvis is explored.Methods Based on the pelvic medical images of a 95th percentile male volunteer,two finite element pelvis models with real hip bone cortical bone thickness(REA-M)and 2 mm uniform cortical bone thickness(CON-M)dominated by hexahedral elements were constructed.Using the simulation method to reconstruct the loading conditions of cadaver experiments,the validation of models was verified by comparing the cadaver experimental results and simulation results,and biomechanical response differences of two models under different working conditions were discussed.Results The simulation data showed that there was a strong correlation between the overall biomechanical responses of two pelvic models and the cadaver experiment,and the mechanical response difference between two models was mostly within 8％,and the correlation score difference between two models was smaller than 2％.Conclusions The validation of two pelvic models established in this study is verified by rebuilding multiple simulation experiments.Although the biomechanical responses of CON-M and REA-M models were different,the difference was small.From the perspective of model simplification,the CON-M model can be used to study the biomechanical response of the pelvis.

Objective To investigate the risk of thoracoabdominal injuries in six-year-old child occupants in a reclined seating posture during frontal collisions,and provide a reference for developing child restraint systems(CRS).Methods Three validated biomechanical models of six-year-old child occupants in different seating postures with detailed anatomical structures were used.The acceleration curve from a sport utility vehicle crash test was applied to analyze the effects of seating posture on thoracic motion trajectory,chest acceleration,thoracoabdominal compression,viscous criterion(VC)of the chest and abdomen,internal organ strain,and spinal stress.Results Thoracic motion trajectories varied in the Z-direction under three seating postures.As the upper torso angle increased,thoracoabdominal kinematic injury parameters showed an upward trend.The thoracic and abdominal VC under 120° and 135° posture increased by 67％and 113％,10.7％and 25％compared with that under 105° standard sitting posture.The risk of thoracic internal organ injury was inversely related to the seating angle,while the risk of abdominal internal organ injury was positively related to the seating angle.The primary spinal injury mechanism was compression-flexion.Conclusions CRS protection evaluation should comprehensively consider thoracoabdominal kinematic parameters,internal organ biomechanics,and spinal injury risk.These findings have important implications for CRS development in intelligent driving systems and occupant protection strategy formulation.

Objective To evaluate the application value of the MR three-dimensional double inversion recovery(3D DIR)sequence in the diagnosis of optic neuritis(ON).Methods A retrospective analysis was conducted on MRI images from 40 patients with sus-pected ON.All patients underwent conventional T2 WI fat suppression(FS)and 3D DIR sequences.The lesion detection rate and diag-nostic accuracy of the intraorbital,intracanalicular,and intracranial segments of the optic nerve were compared between the two sequences,respectively.The receiver operating characteristic(ROC)curves were used to assess the diagnostic performance,and the intraclass correlation coefficient(ICC)were used to analyze interobserver consistency.Imaging assessments were independently performed by two senior and two junior radiologists.Results The sensitivity(SEN),specificity(SPE),and accuracy(ACC)in lesion detection of 3D DIR sequence were significantly better than those of conventional T2 WI FS sequence[odds ratio(OR)221 vs 104,P＜0.001].Notably,3D DIR sequence exhibited superior performance in detecting lesions in the intraorbital segment[area under the curve(AUC)0.915,OR=102]and intracanalicular segment(AUC 0.858,OR=51)compared with conventional T2WI FS sequence.Additionally,3D DIR sequence significantly improved diagnostic consistency among junior radiologists(ICC value increased from 0.469 to 0.655),bring-ing their diagnostic performance closer to that of senior radiologists(AUC improved to 0.883,ACC reached 90.1％).Conclusion The 3D DIR sequence has outstanding diagnostic efficacy in detecting ON lesions,significantly improving ACC and interobserver consistency,thereby offering strong support for the precise diagnosis of ON.

Objective To investigate the risk of thoracoabdominal injuries in six-year-old child occupants in a reclined seating posture during frontal collisions,and provide a reference for developing child restraint systems(CRS).Methods Three validated biomechanical models of six-year-old child occupants in different seating postures with detailed anatomical structures were used.The acceleration curve from a sport utility vehicle crash test was applied to analyze the effects of seating posture on thoracic motion trajectory,chest acceleration,thoracoabdominal compression,viscous criterion(VC)of the chest and abdomen,internal organ strain,and spinal stress.Results Thoracic motion trajectories varied in the Z-direction under three seating postures.As the upper torso angle increased,thoracoabdominal kinematic injury parameters showed an upward trend.The thoracic and abdominal VC under 120° and 135° posture increased by 67％and 113％,10.7％and 25％compared with that under 105° standard sitting posture.The risk of thoracic internal organ injury was inversely related to the seating angle,while the risk of abdominal internal organ injury was positively related to the seating angle.The primary spinal injury mechanism was compression-flexion.Conclusions CRS protection evaluation should comprehensively consider thoracoabdominal kinematic parameters,internal organ biomechanics,and spinal injury risk.These findings have important implications for CRS development in intelligent driving systems and occupant protection strategy formulation.

Based on CT scan data,a bionic model of lumbar spine injuries with high biofidelity is developed and validated through cadaver experiments.Decoupling the constraint system that affects occupants during collisions due to inertial forces and the subsequent pressure exerted by the seat upon returning to position,a simulated fall experiment is designed.The simulated outcomes are trained and predicted using deep learning algorithms,and the accuracy of the trained neural network prediction model is verified.Key parameters are analyzed for correlation using principal component analysis and cross-reverse methods.The results shows that the predicted lumbar spine injury model obtained from training has high reliability(R2>0.9).Comprehensive analysis reveals that after experiencing axial impact,the L4 vertebral body bears the highest impact load and can be used as a representative measure of lumbar spine injury.Among the environmental variables,the axial force on the L4 lumbar spine is mainly affected by torso mass and fall height,both of which have positive correlations.Torso mass,fall height,and posture angle all have positive effects on internal energy.Conversely,torso mass and fall height have negative correlations with stress.These research findings provide a scientific basis for further elucidating lumbar spine injury mechanisms in intelligent cockpit environments,devising corresponding safety protection measures,and evaluating occupant safety in automobiles.

Objective The finite element pelvis model with detailed anatomical structures which meets the Chinese human 95th percentile characteristics is developed,and the influence of cortical bone modeling method on the biomechanical response of the real pelvis is explored.Methods Based on the pelvic medical images of a 95th percentile male volunteer,two finite element pelvis models with real hip bone cortical bone thickness(REA-M)and 2 mm uniform cortical bone thickness(CON-M)dominated by hexahedral elements were constructed.Using the simulation method to reconstruct the loading conditions of cadaver experiments,the validation of models was verified by comparing the cadaver experimental results and simulation results,and biomechanical response differences of two models under different working conditions were discussed.Results The simulation data showed that there was a strong correlation between the overall biomechanical responses of two pelvic models and the cadaver experiment,and the mechanical response difference between two models was mostly within 8％,and the correlation score difference between two models was smaller than 2％.Conclusions The validation of two pelvic models established in this study is verified by rebuilding multiple simulation experiments.Although the biomechanical responses of CON-M and REA-M models were different,the difference was small.From the perspective of model simplification,the CON-M model can be used to study the biomechanical response of the pelvis.