Objective To investigate the diagnostic value of our regression model based on quantitative parameters of dual-energy CT and clinical features for stages T2 and T3 colorectal cancer.Methods A cross-section study was performed on 91 patients with colorectal cancer confirmed by postoperative pathology in our hospital from January 2022 to November 2023.All of them underwent dual-energy CT examination.According to the pathological T staging criteria of Chinese Colorectal Cancer Diagnosis and Treatment Standard(2020 Edition),they were divided into T2 group(n=43)and T3 group(n=48).Univariate analysis was used to compare the differences in quantitative CT parameters and clinical features between the 2 groups,and the obtained significant variables were employed to construct diagnosis models by univariate or multivariate logistic regression analysis.The area under receiver operating characteristic curve(AUC)of the CT parametric model and the model combined with clinical features was compared to evaluate the efficacy of diagnosing T2 and T3 stages.Results Univariate analysis showed that carcinoembryonic antigen(CEA),N stage,tumor location,tumor longest diameter(LD),CT value of virtual noncontrast(CT-VNC),fat fraction,electron density(Rho)and dual energy index(DEI)were significantly different between the T2 and T3 groups(P＜0.05).Multivariate logistic regression analysis found that N stage,tumor location,LD,fat fraction and DEI were independent risk factors for the diagnosis of stage T3.The AUC value of the model of above CT parameters in diagnosing stage T3 colorectal cancer was 0.671(95％CI:0.558～0.783),and the AUC value of the combined model of above CT parameters and clinical features was 0.886(95％CI:0.815～0.957),and statistical difference was observed in the AUC value between the combined model and the CT parametric model(P＜0.01).Conclusion The regression model constructed with dual-energy CT quantitative parameters combined with clinical features has high value in the preoperative diagnosis of stages T2 and T3 colorectal cancer before surgery.

BackgroundPreventing and intervening in adolescent gaming disorder is of significant practical importance. Gaming motivation is strongly linked to gaming addiction and serves a key function in comprehending and addressing addictive gaming behaviors. However， the relationship between components of gaming motivation and symptoms of gaming disorder remains unclear. ObjectiveTo explore the relationship between components of gaming motivation and symptoms of gaming disorder among adolescents， so as to provide references for the prevention and intervention of gaming disorder in this population. MethodsFrom January to February 2024， a cluster sampling method was employed to select 1 414 adolescents from four middle schools in Sichuan Province and Chongqing Municipality as participants in the study. Online Game Motivation Scale （OGMS） and Gaming Disorder Scale for Adolescents （GADIS-A） were administered. Network analysis methods were utilized to investigate the relationships between components of gaming motivation and symptoms of gaming disorder. ResultsThe network edge weights revealed that achievement motivation was positively correlated with impaired game control ability， continued gaming despite negative consequences and the frequency of symptom occurrence （r=0.115， 0.050， 0.076， P<0.05）. Social motivation was negatively correlated with negative consequences （r=-0.054， P<0.05），while immersion motivation was positively correlated with continued gaming despite negative consequences （r=0.032， P<0.05）. Achievement motivation exhibited the highest strength centrality （1.157） among the three components of gaming motivation. ConclusionThe connections between components of gaming motivation and symptoms of gaming disorder exhibit distinct patterns， with each motivational component influencing gaming disorder through specific symptom pathway. Among these components， achievement motivation plays the most critical role in the interplay between gaming motivation and symptoms of gaming disorder. ［Funded by Chongqing Science and Health Joint Medical Science and Technology Innovation Projects General Projects （number， 2023MSXM133）］

Objective To evaluate the value of coronary CT angiography(CCTA)radiomics machine learning(ML)model combined with pericoronary fat attenuation index(FAI)for predicting coronary plaques progression.Methods Totally 194 patients with CCTA showing coronary plaques and received at least one CCTA review afterwards were retrospectively collected.The annual change value of total plaque burden(△TPB/y)was calculated based on the first and last CCTA to assess plaque progression.All patients were categorized into non-progressive(△TPB/y＜median △TPB/y)and progressive(△ TPB/y≥median △ TPB/y)groups.The patients were divided into training set(n=155)and validation set(n=39)at the ratio of 8∶2.Univariate and multivariate logistic regression analyses were used to screen clinical and primary CCTA related factors for plaque progression,and CCTA model was constructed.Radiomics features were extracted and screened based on primary CCTA to build ML models using random forest(RF),Gaussian process(GP),partial least squares discriminant analysis(PLS-DA),quadratic discriminant analysis(QDA)and support vector machine(SVM)algorithms.The effectiveness of all models was verified in validation set and the optimal ML model was selected.And its combination with CCTA model constructed combined model.The efficacy of each model for predicting coronary plaques progression was evaluated.Results Of 194 cases,97 were in progressive group and 97 were in non-progressive group.The training set included 77 cases of plaques progression and 78 of plaques non-progression,and the validation set included 20 of plaques progression and 19 of plaques non-progression.FAI was the independent predictor of plaque progression(OR=1.08,P＜0.001)and CCTA model was constructed.Ten optimal radiomics features based on training set were selected to build RF,GP,PLS-DA,QDA and SVM models.The area under the curve(AUC)of RF model in training set and validation set were both high,was considered as the optimal ML model.The AUC of CCTA,RF and combined models in training set was 0.684,0.847 and 0.861,respectively,while was 0.629,0.768 and 0.821 in validation set,respectively.Conclusion CCTA radiomics ML model combined with FAI could effectively predict coronary plaques progression.

Objective To evaluate the value of coronary CT angiography(CCTA)radiomics machine learning(ML)model combined with pericoronary fat attenuation index(FAI)for predicting coronary plaques progression.Methods Totally 194 patients with CCTA showing coronary plaques and received at least one CCTA review afterwards were retrospectively collected.The annual change value of total plaque burden(△TPB/y)was calculated based on the first and last CCTA to assess plaque progression.All patients were categorized into non-progressive(△TPB/y＜median △TPB/y)and progressive(△ TPB/y≥median △ TPB/y)groups.The patients were divided into training set(n=155)and validation set(n=39)at the ratio of 8∶2.Univariate and multivariate logistic regression analyses were used to screen clinical and primary CCTA related factors for plaque progression,and CCTA model was constructed.Radiomics features were extracted and screened based on primary CCTA to build ML models using random forest(RF),Gaussian process(GP),partial least squares discriminant analysis(PLS-DA),quadratic discriminant analysis(QDA)and support vector machine(SVM)algorithms.The effectiveness of all models was verified in validation set and the optimal ML model was selected.And its combination with CCTA model constructed combined model.The efficacy of each model for predicting coronary plaques progression was evaluated.Results Of 194 cases,97 were in progressive group and 97 were in non-progressive group.The training set included 77 cases of plaques progression and 78 of plaques non-progression,and the validation set included 20 of plaques progression and 19 of plaques non-progression.FAI was the independent predictor of plaque progression(OR=1.08,P＜0.001)and CCTA model was constructed.Ten optimal radiomics features based on training set were selected to build RF,GP,PLS-DA,QDA and SVM models.The area under the curve(AUC)of RF model in training set and validation set were both high,was considered as the optimal ML model.The AUC of CCTA,RF and combined models in training set was 0.684,0.847 and 0.861,respectively,while was 0.629,0.768 and 0.821 in validation set,respectively.Conclusion CCTA radiomics ML model combined with FAI could effectively predict coronary plaques progression.

Objective:To evaluate the effect of tubastatin A (TubA) on pyroptosis during brain injury after cardiac arrest and resuscitation in swine.Methods:Twenty-two conventional male white swine, weighing 34-39 kg, aged 4-6 months, were divided into 3 groups using a random number table: sham operation group (group S, n=6), cardiac arrest-cardiopulmonary resuscitation (CA-CPR) group ( n=8) and CA-CPR+ TubA group ( n=8). The swine model of CA-CPR was established by 9 min of cardiac arrest and 6 min of cardiopulmonary resuscitation in CA-CPR group and CA-CPR+ TubA group. TubA 4.5 mg/kg (in 50 ml of normal saline) was infused over 1 h via the femoral vein starting from 5 min after resuscitation in CA-CPR+ TubA group. Before developing the model and at 1, 2, 4 and 24 h after resuscitation (T 0-4), blood samples were collected from the femoral vein for determination of the concentrations of neuron specific enolase (NSE) and S100β protein in serum (by enzyme-linked immunosorbent assay). Neurological deficit score (NDS) was evaluated at T 4. The animals were then sacrificed, and their brain cortex tissues were harvested to measure the expression of histone deacetylase 6 (HDAC6), caspase-3, cleaved caspase-3, gasdermin E (GSDME) and GSDME N-terminal (N-GSDME) (by Western blot) and contents of high mobility group box 1 (HMGB1), interleukin-1β (IL-1β) and IL-18 (by enzyme-linked immunosorbent assay). Results:Compared with group S, the serum concentrations of NSE and S100β were significantly increased at T 1-4, NDS was increased at T 4, the expression of HDAC6, caspase-3, cleaved caspase-3, GSDME and N-GSDME in brain cortex was up-regulated, and the contents of HMGB1, IL-1β and IL-18 were increased in CA-CPR and CA-CPR+ TubA groups ( P<0.05). Compared with group CA-CPR, the serum concentrations of NSE and S100β were significantly decreased at T 3, 4, NDS was decreased at T 4, the expression of HDAC6, caspase-3, cleaved caspase-3, GSDME and N-GSDME in brain cortex was down-regulated, and the contents of HMGB1, IL-1β and IL-18 were decreased in group CA-CPR+ TubA ( P<0.05). Conclusions:The mechanism by which TubA alleviates brain injury after cardiac arrest and resuscitation may be related to inhibition of pyroptosis in swine.

Objective: To understand associated factors of myopia among middle school students in Zhengzhou and to explore the correlation between myopia with overweight and obesity, to provide a scientific basis for myopia prevention. Methods: A total of 3 297 middle school students from 8 middle schools in Erqi District, Zhongmu County and Xingyang County of Zhengzhou City were selected by a cluster random sampling method to participate in vision testing and questionnaire survey. Chi square test, and Logistic regression analysis were used. Results: Overall prevalence of myopia of middle school students was 80.5%, overweight 14.7%, obesity 10.1% in Zhengzhou. The prevalence of myopia differed significantly by schooling stage, parental myopia status and sex ( χ 2= 18.34, 23.55, 8.98, 26.53, 27.46, 47.25, P <0.05). Significant differences in myopia detection rate by after school homework duration were observed in boys and the entire population( χ 2=12.40, 15.25, P <0.01), and significant differences in myopia detection rate by body mass index (BMI) were only observed in boys ( χ 2=6.32, P <0.05). The distribution of myopia severity was statistically significant by sex among junior school students, and by BMI categories among high school students ( χ 2=22.71, 20.37, P <0.01). Multivariate binary Logistic regression analysis showed that the risk for myopia among school students who were overweight and obese was 1.81 times higher than that of students who were not overweight and obese( P <0.01). Conclusion Overweight and obesity might increase the risk of myopia among middle school students, targeted measures should be taken to maintain the healthy weight of middle school students and reduce the risk of myopia.

Objective : By observing the changes of interleukin-22 ( IL-22) ，signal transduction and transcriptional activator 3 (STAT3) ，fasting blood glucose ( FBG) and fasting insulin ( FINS) of rats under the circumstance of chronic intermittent hypoxia and reoxygenation，to explore the role of IL-22 / STAT3 pathway in insulin resistance in- duced by chronic intermittent hypoxia． Methods : 4 SD rats were randomly divided into control group (NC group) and intermittent hypoxia group ( CIH group) ，with 12 rats in each group．NC group was placed in normoxia environment for 12 weeks，while CIH group was first given intermittent hypoxia for 8 weeks and then resumed normoxia feeding until 12 weeks．FBG，FINS，IL-22 and p-STAT3 / STAT3 levels were measured at baseline，week 8 and week 12 in both groups，and insulin resistance index (HOMA-IR) was calculated．The differences between the two groups were compared. Results : ① There was no significant difference of the observation indexes between the two groups at baseline (P＞0. 05) ．At 8 weeks，the levels of FBG，FINS and HOMA-IR in CIH group were higher than those in NC group (P＜0. 05) ，and the levels of IL-22 were lower than those in NC group (P ＜0. 05) ．p-STAT3 / STAT3 showed a decreasing trend，but not statistically significant．At 4 weeks of reoxygenation，there were no significant differences in FBG，FINS，HOMA-IR and IL-22 levels between the two groups (P ＞0. 05 ) ．p-STAT3 / STAT3 in CIH group was significantly higher than that in NC group ( P ＜0. 05 ) . ② Spearman rank correlation analysis showed that HOMA-IR was negatively correlated with IL-22 and p-STAT3 / STAT3 ( all P ＜0. 05) ． Conclusion Chronic intermittent hypoxia can inhibit the expression of IL-22 / STAT3 signaling pathway，IL-22 / STAT3 signaling pathway may mediate insulin resistance induced by chronic intermittent hypoxia.

Abstract OBJECTIVE To clarify the resource status and diversity of endemic medicinal plants in Shaanxi province. METHODS The species specificity, species composition, faunal composition, family and genus types, medicinal value and endangerment degree of endemic medicinal plants in Shaanxi province were studied by literature review.RESULTS There were 713 species of 331 genera and 101 families endemic to Chinese medicinal plants in the study area. Fifteen species were naturally distributed only in Shaanxi province, and the remaining 698 species were also naturally distributed in other provinces of China. Among the 713 species, 233 species(69 families, 159 genera) were not collected from the fourth resource census in Shaanxi province. There were 11 species of pteridophytes in 7 families and 11 genera, 14 species of gymnosperms in 4 families and 10 genera, 627 species of dicotyledons in 82 families and 278 genera, and 59 species of monocots in 8 families and 32 genera. The endemic life forms of medicinal plants in the study area were mostly herbaceous, followed by shrubs and trees, and semi-shrubs and epiphytes accounted for the least. There were 9 families with ≥ 20 species and 4 families with ≥ 10 species in the study area. The 90 families belonging to the endemic species of medicinal plants in Shaanxi province were divided into 13 distribution types and 9 variations, and the tropical distribution(2-7 categories) had a total of 34 families. There were 5 endemic species of medicinal plants in the study area under the national class I key protection, and 14 species under the national class II key protection. There were 26 species of plants under local key protection in Shaanxi province. There were 21 plants that could be used as original plants for medicinal materials included in the Pharmacopoeia of the People's Republic of China(2020 edition). CONCLUSION The endemic species of medicinal plants in Shaanxi province are rich in resources and have good medicinal value. However, the growing environment of some plants is harsh and human damage is serious. Multiple protection measures should be taken to maintain the species diversity and sustainable development of resources in the study area.

Objective To investigate the value of dual-energy CT quantitative parameters combined with CT features for predicting perineural invasion(PNI)of colorectal adenocarcinoma.Methods Preoperative whole-abdominal CT data of 79 patients with colorectal adenocarcinoma confirmed by postoperative pathology were retrospectively analyzed.The patients were divided into PNI group(n=31)or no PNI group(n=48).Univariate analysis was used to compare CT features and dual-energy CT quantitative parameters between groups,and the variables with significant differences were included in binary logistic regression analysis to construct a combined model.Receiver operating characteristic(ROC)curves were drawn and area under the curve(AUC)were calculated,the efficacy of single CT parameters and combined model for predicting PNI of colorectal adenocarcinoma were evaluated.Results There were significant differences of the location of the primary lesion,the maximum thickness of the diseased intestinal wall,the presence or absence of peritumoral lymph node metastases,peritumoral mesenteric streak shadow and tumor deposits shown on CT between groups(all P＜0.05).Significant differences of the arterial phase slope of energy spectrum curve(λHU),iodine concentration(IC),normalized IC(NIC),dual energy index and the venous phase NIC of dual energy index were found between groups(all P＜0.05).AUC of the above single parameters for predicting PNI of colorectal adenocarcinoma ranged from 0.615 to 0.698,while of the combined model was 0.864.Conclusion Dual-energy CT quantitative parameters combined with CT features could be used to effectively predict PNI of colorectal adenocarcinoma.

Objective:To investigate the characteristics of executive function of preschool children with high functioning autism spectrum disorder (HFA) and with global developmental delay (GDD), and the differences among HFA, GDD and typically developmental (TD) children.Methods:From January 2020 to January 2021, 20 male HFA, 20 male GDD and 20 male TD children aged 4-6 years who visited the Psychological Behavior Clinic of the Child Health Department of Guiyang Maternal and Child Health Hospital and the Developmental Behavior Clinic of the Children Health Department of the Ninth People's Hospital in Chongqing were selected for comparative study.The executive function of HFA, GDD and TD children was assessed with the behavior rating scale of executive function-preschool version(BRIEF-P) and the executive function task program (EF-TOUCH). SPSS 26.0 software was used for statistical analysis, including variance test, independent sample t-test, χ2 test, Kruskal Wallis test and Mann-Whitney U test. Results:In the EF-TOUCH program task, the accuracy of the three groups of children's performance in the pig task (Pig), the silly sounds game (SSG), the working memory task (pick the picture, PTP) and the task of cognitive flexibility (something's the same, STS) were statistically different(Pig: HFA group: 0.87(0.76, 0.99), GDD group: 0.97(0.85, 0.99), TD group: 1.00(0.98, 1.00), χ2=15.646, P<0.001; SSG: HFA group: 0.76(0.53, 0.91), GDD group: 0.76(0.65, 0.99), TD group: 0.94(0.76, 1.00), χ2=6.448, P=0.040; PTP: HFA group: 0.66±0.18, GDD group: 0.66±0.19, TD group: 0.78±0.11; F=3.221, P=0.048; STS: HFA group: 0.67(0.63, 0.70), GDD group: 0.72(0.46, 0.78), TD group: 0.87(0.83, 0.90), χ2=26.898, P<0.001). The accuracies of Pig, SSG, PTP and STS in HFA group were significantly lower than those in TD group(all P<0.05), and the accuracies of Pig and STS in GDD group were significantly lower than those in TD group(both P<0.05). In inhibition control, there were statistically differences in response time of Pig and SSG among the three groups (Pig: HFA group: (1 694.36±222.83)ms, GDD group: (1 513.46±244.91)ms, TD group: (1 444.84±197.95)ms, F=5.810, P=0.005; SSG: HFA group: (2 202.42±195.58)ms, GDD group: (2 116.52±323.27)ms, TD group: (1 937.17±252.74)ms, Z=4.610, P=0.014). There were no significant differences in the reaction time of Arrows task ( P>0.05). There were significant differences in BRIEF-P inhibition control, organizational planning, inhibition self-regulation, cognitive flexibility and total scores among the three groups ( P<0.05), while there were no significant differences in the scores of other factors and dimensions ( P>0.05). Conclusion:The executive function of pre-school children with high functioning autism spectrum disorder and children with global developmental delay is impaired.The executive function of children with high functioning autism spectrum disorder and children with global developmental delay is significantly different from that of typically developmental children of the same age.Moreover, the executive function of children with HFA is more severely damaged from all components than that of children with GDD.