BACKGROUND:Potassium channel is the main ion channel to regulate vascular smooth muscle contraction and relaxation, and closely related with vascular tone. However, the reports about the mechanism of potassium channels in the body’s aging process are rare. OBJECTIVE:To investigate the effects of aging on the arterial ultrastructure and smooth muscle potassium channel reaction, and then to explore the possible mechanisms. METHODS:Sixteen healthy male Wistar rats were col ected, 19-month-old rats were assigned to the old group (n=8), 2-month-old rats were used as young group (n=8). The thoracic arteries were isolated and cut into rings to conduct contractility measurement in six rats of each group. The thoracic arteries were stimulated with specific calcium-activated potassium channel blocker tetraethylammonium, specific voltage-dependent potassium channel blocker 4-aminopyridine, specific ATP-sensitive potassium channel blocker glibenclamide, and specific inward rectifier potassium channel blocker BaCl 2 ultrastructure changes under electron microscope. , and then the arterial contractile response to the blockers were observed. The thoracic arteries of the remaining two rats in each group were taken to observe the arterial RESULTS AND CONCLUSION:Compared with the young group, the ultrastructures of the thoracic aortic endothelial cells and smooth muscle cells were changed in the old group;KCI induced the maximum thoracic aortic contractile tension, and then recovered to the baseline tension, and the recovery time in the old group was significantly longer than that in the young group;al the four kinds of blockers could increase vascular tone, and the tetraethylammonium and 4-aminopyridine induced thoracic aortic contractile response in the old group was significantly lower than that in the young group;there was no significant difference in vasoconstriction induced by glibenclamide and BaCl 2 . Aging can induce arterial ultrastructure changes and declination of vasodilatation capacity, which may partly due to the decreasing of the potassium channels function in smooth muscle cells, especial y the calcium-activated potassium channel and inward rectifier potassium channel.

Objective To investigate the reliability of Pediatric Evaluation of Disability Inventory (PEDI) in China. Methods 21 children with cerebral palsy were assessed with PEDI by 2 raters respectively. The intrarater and interrater agreement was analyzed. The internal consistency of the PEDI was also calculated. Results The ICC of intrarater and interrater was 0.919～0.993. The Cronbach α was 0.9597～0.9711 in self care, 0.9569～0.9799 in mobility, 0.9419～0.9830 in social function.Conclusion PEDI is reliable and internal consistent.

Objective:To explore the feasibility of predicting complexity of intensity modulated radiotherapy(IMRT)plan through adopted machine learning method to extract planomics features of radiotherapy,so as to provide a new method for comprehensive evaluation of the complexity of IMRT plan.Methods:The medical case data of 3203 patients with pelvic tumor,or abdominal tumor or head and neck tumor,who admitted to The First Affiliated Hospital with Nanjing Medical University from December 2022 to November 2023,were selected.All patients adopted Monaco system to conduct design for plan,and underwent treatment on Precise and Axesse accelerators.The evaluation indicator of complexity of 10 plans was calculated by using Python software,and the planomics features in the files of radiotherapy plans were extracted through format conversion and pyradiomics tool of imaging omics.The planomics features of radiotherapy were selected through data cleaning,filtering method and embedding method of machine learning.The corresponding predictive model of the evaluation indicator of complexity of 10 common plans was respectively constructed through used Gradient Boosting Decision Tree algorithm.The goodness of fit(R2)was adopted to evaluate the prediction performance of the model,and the 5-fold cross-validation method was adopted to detect the generalization ability of the model.Results:There were statistically significant differences between Precise accelerator and Axesse accelerator in average leaf to area(LA),plan irregularity(PI)of beam shape and standard circle,modulation complexity score(MCS)of the variability between shape and area of subfield,and the advantage value of leaf travel(LT)(t=63.894,-63.678,72.582,-48.858,P＜0.01),respectively.A total of 107 planomics features were extracted through pyradiomics tool,and 38 features were remained after filtering method conducted screening,and 4 to 11 features were remained after embedding method conducted screening.The goodness of fits of mean field area(MFA),LA and leaf gap average(LGA)value were better in the validation set,with R2＞0.970,however the goodness of fits of the proportion of small aperture score 20 mm(SAS20)was poor in validation set,with R2=0.917.The 5-fold cross-validation results showed that the average value of prediction accuracy of all indicators of complexity was＞90％.Conclusions:The extracted planomics features of radiotherapy based on radiomics method can accurately predict the complexity of IMRT plan,which are expected to play a greater role in improving the ensure efficiency of individual quality of patient,and screening radiotherapy plan with higher-quality.

Objective To assess vitamin D levels in eastern China by a standard measurement. Methods The data were from a 2014 Survey on the Prevalence in East China for Metabolic Diseases and Risk Factors-China data base. There were 12662 subjects included in this cross-sectional study from February 2014 to June 2016. We assessed the vitamin D levels of natural population by a standard classification in which serum 25-hydroxy vitamin D (25-OHD)<50 nmol/ L was defined as vitamin D deficiency. Results The average serum 25-OHD level was (40. 5 ± 12. 5)nmol/ L, and there were 80. 3% subjects who would be classified as vitamin D deficiency; The average serum 25-OHD level of women was significantly lower than that of men (P< 0. 05); The serum 25-OHD concentrations of the <30, 30-39, 40-49, 50-59, 60-69, ≥70 age groups were 37. 81(31. 98-43. 52)nmol/ L, 39. 46(33. 87-45. 72) nmol/ L, 41. 17(34. 10-48. 65) nmol/ L, 40. 67(34. 20-49. 02) nmol/ L, 44. 00 (35. 67-53. 93) nmol/ L, 44. 14 (34. 61-55. 85)nmol/ L for males, and 36. 86 (30. 52-43. 75) nmol/ L, 37. 11 (31. 68-43. 23) nmol/ L, 36. 94 (30. 72-43. 71) nmol/ L, 38. 42(32. 08-46. 41) nmol/ L, 38. 58(31. 04-46. 21) nmol/ L, 37. 31(29. 34-47. 17) nmol/ L for females in corresponding subgroups. Conclusion The prevalence of vitamin D deficiency of natural population in eastern China was common, the levels of vitamin D in women were lower than those of men. However, the vitamin D levels were tended to be increasing with the advance of age.

Objective:To assess the predictive value of dosiomics in predicting the occurrence of bone marrow suppression (BMS) in patients with pelvic tumors during radiotherapy.Methods:A retrospective analysis was conducted on the clinical data and radiotherapy planning documents of 129 patients with pelvic region tumors who underwent radiotherapy at the First Affiliated Hospital of Nanjing Medical University from January 2019 to January 2023. The region of interest (ROI) was outlined for bone marrow in the pelvic region by Accu Contour software in planning CT, and the ROI was exported together with the dose distribution file. According to a stratified randomization grouping method, the patients were divided into the training set and test set in an 8 vs. 2 ratio. The dosiomic features were extracted from the ROI, and the two independent samples t-test and the least absolute shrinkage and selection operator (LASSO) algorithm was employed to identify the best predictive characteristics. Subsequently, the dosiomic scores were calculated. Clinical predictors were identified through both univariant and multivariate logistic regression analyses. Predictive models were constructed by using clinical predictors alone and combining clinical predictors and dosiomic scores. The efficacy of predictive model was assessed by plotting the receiver operating characteristic (ROC) curve and evaluating its performance through the area under the ROC curve (AUC), the calibration curve, and decision curve analysis (DCA). Results:Fourteen dosiomic features that showed a strong correlation with the occurrence of BMS were screened and utilized to calculate the dosiomic scores. Based on both univariant and multivariate logistic regression analyses, chemotherapy, planning target volume (PTV) and V 5 Gy were identified as clinical predictors. According to the combined model, the AUC values for the training set and test set were 0.911 and 0.868, surpassing those of the clinical model (AUC=0.878 and 0.824). Furthermore, the analysis of both the calibration curve and DCA suggested that the combined model had higher calibration and net clinical benefit. Conclusion:The combined model has a high diagnostic value for predicting BMS in patients with pelvic tumors during radiotherapy.