AIM:To investigate the effect of paeoniflorin on the inflammatory response of diabetic retinopathy rats by regulating phosphatidylinositol-3 kinase/protein kinase B(PI3K/Akt)signaling pathway.METHODS: A total of 70 SPF male SD rats were selected, and 12 rats were randomly selected as the control group(normal saline gavage). The remaining 58 rats were fed with high-sugar and high-fat diet combined with intraperitoneal injection of streptozotocin(STZ)to establish diabetic rat models. Rats with diabetic retinopathy were randomly divided into model group(normal saline), paeoniflorin low-dose group(100 mg/kg paeoniflorin), paeoniflorin high-dose group(200 mg/kg paeoniflorin)and metformin group(100 mg/kg metformin), with 12 rats in each group. The body mass of the rats in each group were compared. HE staining was used to observe the pathological changes of the rat retina. Automatic biochemical analyzer was used to detect the levels of fasting blood glucose, glycosylated hemoglobin, serum high-density lipoprotein cholesterol(HDL-C), low-density lipoprotein cholesterol(LDL-C), total cholesterol and triglyceride in the rats. Enzyme-linked immunosorbent assay was used to detect the levels of serum superoxide dismutase(SOD), reactive oxygen species(ROS), malondialdehyde(MDA), glutathione peroxidase(GSH-PX), tumor necrosis factor-α(TNF-α), interleukin-6(IL-6)and interleukin-1β(IL-1β)in the rats. Western blot was used to detect the expressions of Occludin, p-PI3K, tight junction protein-1(ZO-1), p-Akt and VE-Cadherin in the rat retina.RESULTS: The expression levels of Occludin, ZO-1 and VE-cadherin in low-dose and high-dose paeoniflora groups were higher than those in the model group, while the expression levels of TNF-α, IL-6, IL-1β, p-PI3K and p-Akt in serum were lower than those in the model group. The high-dose group of paeoniflorin was significantly better than the low-dose group of paeoniflorin(all P<0.05).CONCLUSION: Paeoniflorin may reduce inflammatory response in diabetic retinopathy rats by inhibiting PI3K/Akt signaling pathway.

AIM:To investigate the effect of paeoniflorin on the inflammatory response of diabetic retinopathy rats by regulating phosphatidylinositol-3 kinase/protein kinase B(PI3K/Akt)signaling pathway.METHODS: A total of 70 SPF male SD rats were selected, and 12 rats were randomly selected as the control group(normal saline gavage). The remaining 58 rats were fed with high-sugar and high-fat diet combined with intraperitoneal injection of streptozotocin(STZ)to establish diabetic rat models. Rats with diabetic retinopathy were randomly divided into model group(normal saline), paeoniflorin low-dose group(100 mg/kg paeoniflorin), paeoniflorin high-dose group(200 mg/kg paeoniflorin)and metformin group(100 mg/kg metformin), with 12 rats in each group. The body mass of the rats in each group were compared. HE staining was used to observe the pathological changes of the rat retina. Automatic biochemical analyzer was used to detect the levels of fasting blood glucose, glycosylated hemoglobin, serum high-density lipoprotein cholesterol(HDL-C), low-density lipoprotein cholesterol(LDL-C), total cholesterol and triglyceride in the rats. Enzyme-linked immunosorbent assay was used to detect the levels of serum superoxide dismutase(SOD), reactive oxygen species(ROS), malondialdehyde(MDA), glutathione peroxidase(GSH-PX), tumor necrosis factor-α(TNF-α), interleukin-6(IL-6)and interleukin-1β(IL-1β)in the rats. Western blot was used to detect the expressions of Occludin, p-PI3K, tight junction protein-1(ZO-1), p-Akt and VE-Cadherin in the rat retina.RESULTS: The expression levels of Occludin, ZO-1 and VE-cadherin in low-dose and high-dose paeoniflora groups were higher than those in the model group, while the expression levels of TNF-α, IL-6, IL-1β, p-PI3K and p-Akt in serum were lower than those in the model group. The high-dose group of paeoniflorin was significantly better than the low-dose group of paeoniflorin(all P<0.05).CONCLUSION: Paeoniflorin may reduce inflammatory response in diabetic retinopathy rats by inhibiting PI3K/Akt signaling pathway.

Objective: To investigate the correlation between social jetlag and psychological behavior in upper primary school students,so as to provide reference for sleep health promotion in primary school students. Methods: From April to June 2024, a survey was conducted among 4 341 fourth and fifth grade students from 9 public primary schools in a district in Beijing. Sleep patterns were assessed using a self designed questionnaire, while psychological behavior was evaluated using the Strengths and Difficulties Questionnaire (SDQ)(parent version). A generalized estimating equation (GEE) model was used to examine the association between different levels of social jetlag and psychological behavior problem scores in primary school students. Results: The proportions of students with social jetlag of <1.0, 1.0-<2.0, and ≥2.0 h were 57.6%, 30.6%, and 11.8%, respectively. The GEE model analysis found that after adjusting for covariates, compared with primary school students with social jetlag of <1.0 h, those with 1.0 -<2.0 and ≥2.0 h had higher scores for internalizing behavior problems [ β (95% CI ) =0.23(0.05-0.41)，0.28(0.02-0.54), P < 0.01]. Primary school students with ≥2.0 h of social jetlag had higher scores for externalizing behavior problems [ β (95% CI )=0.42 (0.13-0.71)， P <0.01]. Among boys and primary school students with an average nighttime sleep duration of ≥9 h, comparied with social jetlag of <1.0 h,those with sucial jetlag 1.0-<2.0 h had higher scores on internalizing and externalizing behavior problems[ β (95% CI )=0.32(0.07-0.56),0.51 (0.11-0.90), 0.26 (0.06-0.46)，0.58 (0.25-0.91), P <0.05]. Conclusions Greater social jetlag may be a risk factor for internalizing and externalizing behavior problems in upper primary school students. Reducing social jetlag may help decrease the occurrence of psychological behavior problems in primary school students.

Objective: To evaluate the feasibility of dynamic contrast-enhanced MRI (DCE-MRI) in differentiating tumor deposits (TDs) from metastatic lymph nodes (MLNs) in rectal cancer. Materials and Methods: A retrospective analysis was conducted on 70 patients with rectal cancer, including 168 lesions (70 TDs and 98 MLNs confirmed by histopathology), who underwent pretreatment MRI and subsequent surgery between March 2019 and December 2022. The morphological characteristics of TDs and MLNs, along with quantitative parameters derived from DCE-MRI (K trans , kep, and v e) and DWI (ADCmin, ADCmax, and ADCmean), were analyzed and compared between the two groups.Multivariable binary logistic regression and receiver operating characteristic (ROC) curve analyses were performed to assess the diagnostic performance of significant individual quantitative parameters and combined parameters in distinguishing TDs from MLNs. Results: All morphological features, including size, shape, border, and signal intensity, as well as all DCE-MRI parameters showed significant differences between TDs and MLNs (all P < 0.05). However, ADC values did not demonstrate significant differences (all P > 0.05). Among the single quantitative parameters, v e had the highest diagnostic accuracy, with an area under the ROC curve (AUC) of 0.772 for distinguishing TDs from MLNs. A multivariable logistic regression model incorporating short axis, border, v e, and ADC mean improved diagnostic performance, achieving an AUC of 0.833 (P = 0.027). Conclusion The combination of morphological features, DCE-MRI parameters, and ADC values can effectively aid in the preoperative differentiation of TDs from MLNs in rectal cancer.

Objective: To evaluate the feasibility of dynamic contrast-enhanced MRI (DCE-MRI) in differentiating tumor deposits (TDs) from metastatic lymph nodes (MLNs) in rectal cancer. Materials and Methods: A retrospective analysis was conducted on 70 patients with rectal cancer, including 168 lesions (70 TDs and 98 MLNs confirmed by histopathology), who underwent pretreatment MRI and subsequent surgery between March 2019 and December 2022. The morphological characteristics of TDs and MLNs, along with quantitative parameters derived from DCE-MRI (K trans , kep, and v e) and DWI (ADCmin, ADCmax, and ADCmean), were analyzed and compared between the two groups.Multivariable binary logistic regression and receiver operating characteristic (ROC) curve analyses were performed to assess the diagnostic performance of significant individual quantitative parameters and combined parameters in distinguishing TDs from MLNs. Results: All morphological features, including size, shape, border, and signal intensity, as well as all DCE-MRI parameters showed significant differences between TDs and MLNs (all P < 0.05). However, ADC values did not demonstrate significant differences (all P > 0.05). Among the single quantitative parameters, v e had the highest diagnostic accuracy, with an area under the ROC curve (AUC) of 0.772 for distinguishing TDs from MLNs. A multivariable logistic regression model incorporating short axis, border, v e, and ADC mean improved diagnostic performance, achieving an AUC of 0.833 (P = 0.027). Conclusion The combination of morphological features, DCE-MRI parameters, and ADC values can effectively aid in the preoperative differentiation of TDs from MLNs in rectal cancer.

Objective: To evaluate the feasibility of dynamic contrast-enhanced MRI (DCE-MRI) in differentiating tumor deposits (TDs) from metastatic lymph nodes (MLNs) in rectal cancer. Materials and Methods: A retrospective analysis was conducted on 70 patients with rectal cancer, including 168 lesions (70 TDs and 98 MLNs confirmed by histopathology), who underwent pretreatment MRI and subsequent surgery between March 2019 and December 2022. The morphological characteristics of TDs and MLNs, along with quantitative parameters derived from DCE-MRI (K trans , kep, and v e) and DWI (ADCmin, ADCmax, and ADCmean), were analyzed and compared between the two groups.Multivariable binary logistic regression and receiver operating characteristic (ROC) curve analyses were performed to assess the diagnostic performance of significant individual quantitative parameters and combined parameters in distinguishing TDs from MLNs. Results: All morphological features, including size, shape, border, and signal intensity, as well as all DCE-MRI parameters showed significant differences between TDs and MLNs (all P < 0.05). However, ADC values did not demonstrate significant differences (all P > 0.05). Among the single quantitative parameters, v e had the highest diagnostic accuracy, with an area under the ROC curve (AUC) of 0.772 for distinguishing TDs from MLNs. A multivariable logistic regression model incorporating short axis, border, v e, and ADC mean improved diagnostic performance, achieving an AUC of 0.833 (P = 0.027). Conclusion The combination of morphological features, DCE-MRI parameters, and ADC values can effectively aid in the preoperative differentiation of TDs from MLNs in rectal cancer.

Objective: To evaluate the feasibility of dynamic contrast-enhanced MRI (DCE-MRI) in differentiating tumor deposits (TDs) from metastatic lymph nodes (MLNs) in rectal cancer. Materials and Methods: A retrospective analysis was conducted on 70 patients with rectal cancer, including 168 lesions (70 TDs and 98 MLNs confirmed by histopathology), who underwent pretreatment MRI and subsequent surgery between March 2019 and December 2022. The morphological characteristics of TDs and MLNs, along with quantitative parameters derived from DCE-MRI (K trans , kep, and v e) and DWI (ADCmin, ADCmax, and ADCmean), were analyzed and compared between the two groups.Multivariable binary logistic regression and receiver operating characteristic (ROC) curve analyses were performed to assess the diagnostic performance of significant individual quantitative parameters and combined parameters in distinguishing TDs from MLNs. Results: All morphological features, including size, shape, border, and signal intensity, as well as all DCE-MRI parameters showed significant differences between TDs and MLNs (all P < 0.05). However, ADC values did not demonstrate significant differences (all P > 0.05). Among the single quantitative parameters, v e had the highest diagnostic accuracy, with an area under the ROC curve (AUC) of 0.772 for distinguishing TDs from MLNs. A multivariable logistic regression model incorporating short axis, border, v e, and ADC mean improved diagnostic performance, achieving an AUC of 0.833 (P = 0.027). Conclusion The combination of morphological features, DCE-MRI parameters, and ADC values can effectively aid in the preoperative differentiation of TDs from MLNs in rectal cancer.

Background Under the background of global warming, research on association between ambient temperature and risk of injury is needed. Objective To examine the effect of temperature on injury in Bao'an district, Shenzhen and identify the sensitive population, thereby providing a scientific basis for formulating prevention and control strategies and measures of injury. Methods The injury reports from the Injury Surveillance System and the meteorological data of Bao'an District between 2018 to 2022 were collected. The meteorological data were sourced from the fifth generation of the European Centre for Medium-Range Weather Forecasts (ECMWF) land reanalysis data. Based on time-stratified case-crossover design, conditional logistic regression combined with distributed lag nonlinear model was used to evaluate the exposure-response association between ambient temperature and injury. The stratified analyses were further conducted by gender, age, and causes of injury. Results A total of 156205 injury cases were collected from the injury surveillance sentinel hospitals in Bao'an District of Shenzhen from 2018 to 2022, and the median of daily average temperature during the same period was 20.0 ℃. The exposure-response curve showed that the risk of injury was positively correlated with temperature. The linearized analysis revealed that each 1°C increase in temperature was associated with a 1.05% (95%CI: 0.68%, 1.42%) rise in injury risk (ER). Notably, the effect was greater in females (ER=1.31%, 95%CI: 0.67%, 1.94%) than males (ER=0.92%, 95%CI: 0.47%, 1.37%). Among age groups, adults ＞60 years faced the highest risk (ER=1.91%, 95%CI: −0.36%, 4.24%). The top three temperature-associated injury risks were sharp instrument injuries (ER=2.19%, 95%CI: 1.16%, 3.22%), animal injuries (ER=1.71%, 95%CI: 0.86%, 2.56%), and blunt injuries (ER=071%, 95%CI: −0.08%, 1.51%). The impact of temperature on unintentional injuries (ER=1.11%, 95%CI: 0.72%, 1.49%) was higher than that on intentional injuries (ER=0.43%, 95%CI: −0.85%, 1.72%). Severe injuries (ER=2.20%, 95%CI: −3.09%, 7.77%) were more affected by temperature than mild injuries (ER=1.00%, 95%CI: 0.58%, 1.43%) and moderate injuries (ER=1.15%, 95%CI: 0.42%, 1.89%). Conclusion The increase in ambient temperature associates with injury occurrence, and the impact of temperature exhibits obvious heterogeneity among different populations, indicating that targeted intervention measures should be taken for different populations and types of injuries.

Objective: To evaluate the feasibility of dynamic contrast-enhanced MRI (DCE-MRI) in differentiating tumor deposits (TDs) from metastatic lymph nodes (MLNs) in rectal cancer. Materials and Methods: A retrospective analysis was conducted on 70 patients with rectal cancer, including 168 lesions (70 TDs and 98 MLNs confirmed by histopathology), who underwent pretreatment MRI and subsequent surgery between March 2019 and December 2022. The morphological characteristics of TDs and MLNs, along with quantitative parameters derived from DCE-MRI (K trans , kep, and v e) and DWI (ADCmin, ADCmax, and ADCmean), were analyzed and compared between the two groups.Multivariable binary logistic regression and receiver operating characteristic (ROC) curve analyses were performed to assess the diagnostic performance of significant individual quantitative parameters and combined parameters in distinguishing TDs from MLNs. Results: All morphological features, including size, shape, border, and signal intensity, as well as all DCE-MRI parameters showed significant differences between TDs and MLNs (all P < 0.05). However, ADC values did not demonstrate significant differences (all P > 0.05). Among the single quantitative parameters, v e had the highest diagnostic accuracy, with an area under the ROC curve (AUC) of 0.772 for distinguishing TDs from MLNs. A multivariable logistic regression model incorporating short axis, border, v e, and ADC mean improved diagnostic performance, achieving an AUC of 0.833 (P = 0.027). Conclusion The combination of morphological features, DCE-MRI parameters, and ADC values can effectively aid in the preoperative differentiation of TDs from MLNs in rectal cancer.

Objective: To explore the association of screening myopia and sitting posture habits as well as screen viewing distance among primary school students, providing a scientific basis for myopia prevention and intervention among primary school students. Methods: From April to June 2024, a convenient sampling method was used to enroll 1 394 fourth grade students from four primary schools in a district of Beijing for vision examinations and questionnaire surveys. Logistic regression models were employed to analyze the relationship of screening myopia detection and sitting posture habits as well as viewing distance. Results: The screening myopia prevalence among primary school students was 63.8%. About 13.1% of students self reported poor sitting posture, and 47.1% selfreported a viewing distance of ≤20 cm. After adjusting for covariates including age, gender, school, sleep quality, parental myopia status, physical fitness level, daily high intensity physical activity, weekend outdoor activity time and types of after school services, Logistic regression analysis showed that students with poor sitting posture were more likely to have screening myopia than those with normal sitting posture ( OR =1.73,95% CI =1.03-2.92); students with a viewing distance of ≤20 cm were more likely to have screening myopia than those with a viewing distance of >20 cm( OR =1.32, 95% CI =1.02-1.71)( P <0.05). The association between sitting posture and screening myopia was more significant among boys( OR =2.00, 95% CI =1.03-3.88, P < 0.05 ). A multiplicative interaction was observed between sitting posture and viewing distance. Compared to primary school students with normal posture and a viewing distance of >20 cm, those with poor posture and a viewing distance of >20 cm were more likely to have screening myopia ( OR =1.82, 95% CI =1.12-2.96， P <0.05). Conclusions Both sitting posture habits and screen viewing distance are related to screening myopia in primary school students. Poor sitting posture poses a higher risk than screen distance, and the two factors exhibit an interactive effect on myopia risk.