AIM: To analyze the current status and influencing factors for insufficient hyperopia reserve in preschool children from Changzhi City, Shanxi Province, and to provide reference and basis for myopia prevention and control in this district.METHODS: A stratified cluster random sampling strategy was used to select 2 854 preschool children(5 708 eyes)from 29 child-care centers in Changzhi City between January and May 2024. Hyperopia reserve was assessed through measurements and questionnaire surveys. Totally 2 820 cases(5 640 eyes)were finally included, with 34 cases excluded(32 cases of uncooperativeness and 2 cases of distractibility). The univariate analysis and multivariate Logistic regression were performed to analyze the associated influencing factors of insufficient hyperopia reserve.RESULTS: A total of 580 preschool children with insufficient hyperopia reserve were detected, with an incidence of 20.57%. Logistic regression analysis revealed that male(OR=1.723, 95% CI: 1.419-2.093), maternal myopia(OR=2.210, 95% CI: 1.681-2.906), paternal myopia(OR=1.426, 95% CI: 1.059-1.921), myopia in both parents(OR=2.761, 95% CI: 2.110-3.612), preterm infants(OR=1.740, 95% CI: 1.294-2.342), the mean daily sleep duration <10 h(OR=1.272, 95% CI: 1.024-1.579), and the mean daily outdoor activity time <2 h(OR=1.222, 95% CI: 1.005-1.485)were risk factors for insufficient hyperopia reserve(all P<0.05). Conversely, using blackout curtains during the day and turning off lights at night(OR=0.598, 95% CI: 0.405-0.883)were identified to be protective factors(P<0.05).CONCLUSION: Sex, genetics, gestational age, sleep duration and environmental conditions, and outdoor activity time are potentially associated with insufficient hyperopia reserve in preschool children. Caregivers should prioritize the management of these risk factors to prevent the occurrence of myopia.

Background While A few studies have suggested associations between ambient temperature and cardiac autonomic function, the relationship between hourly temperature variations and heart rate variability (HRV) remains unclear. Objective To examine the acute effects and lag patterns of short-term ambient temperature exposure on HRV at an hourly temporal resolution during cold and warm seasons, and to further characterize the exposure-response relationships. Methods We conducted a longitudinal panel study involving 1047 eligible participants who ordered repeated 24 h ambulatory electrocardiogram monitoring at the First Affiliated Hospital of Xinjiang Medical University in Urumqi, Xinjiang Uygur Autonomous Region, China, between March 2020 and March 2022. Twelve HRV parameters were extracted, including standard deviation of all NN intervals (SDNN), standard deviation of the 5 min averages of NN intervals (SDANN), standard deviation of NN intervals index (SDNNIDX), root mean square of successive differences of adjacent NN intervals (rMSSD), triangle index (TI), percent of NN50 in the total number of NN intervals (pNN50), total power (TP), ultralow frequency (ULF), very low frequency (VLF), low frequency (LF), high frequency (HF), and ratio of low frequency to high frequency (LF/HF). Hourly meteorological data (mean temperature and relative humidity) were obtained from the nearest monitoring stations to participants' residences. Linear mixed effects models (LME) and generalized additive mixed effects models (GAMM) were employed to assess temperature-HRV associations and lag patterns during cold (from October to March next year) and warm (from April to September) seasons, with stratification by sex and age. Results A total of 1047 Urumqi residents who had repeated 24 h ambulatory electrocardiograms were included in this study. In both cold and warm seasons, the exposure-response relationship between ambient temperature and HRV showed an approximately linear negative correlation with no threshold effect; HRV parameters decreased as ambient temperature increased. The correlation between ambient temperature and HRV usually began at a lag of 6 h and disappeared around 24 h lag. The cold season induced a stronger effect on HRV decline, and for every 1 °C increase in ambient temperature during the cold season from lag 0 to 6 h, SDNN decreased by 0.72%, SDNNIDX decreased by 1.46%, TI decreased by 0.07%, SDANN decreased by 1.23%, rMSSD decreased by 1.00%, pNN50 decreased by 2.74%, TP decreased by 3.30%, ULF decreased by 3.74%, VLF decreased by 3.76%, LF decreased by 2.75%, HF decreased by 2.49%, and LF/HF decreased by 0.74%; for every 1 °C increase in ambient temperature during the warm season, SDNN decreased by 0.56%, SDNNIDX decreased by 1.08%, TI decreased by 0.29%, SDANN decreased by 0.56%, rMSSD decreased by 0.68%, pNN50 decreased by 2.11%, TP decreased by 2.64%, ULF decreased by 3.14%, VLF decreased by 2.74%, LF decreased by 1.85%, HF decreased by 1.68%, and LF/HF decreased by 0.47%. Conclusion Elevated ambient temperatures in Urumqi are significantly associated with decreased HRV in the residents, affecting cardiac autonomic function.

Objective:To compare the effects of different appointment regimens on the daily waiting time, fixedness of treatment time and lateness rate of radiotherapy patients.Methods:Medical records of 5488 radiotherapy from 332 patients on the same linear accelerator in West China Hospital of Sichuan University from March to June 2022 were selected. Based on the radiotherapy information integration platform of MOSAIQ, all patients were randomly assigned to the morning class, afternoon class and evening class. Traditional manual appointment regimen was adopted for the morning class, 30 min appointment regimen for the afternoon class, and 15 min appointment regimen for the evening class, respectively. The differences in patient waiting time for treatment, fixedness of treatment time, and lateness rate under different appointment regimens were compared. The fixedness of treatment time and waiting time was determined by one-way ANOVA, and the 2×3 Chi-square test was adopted for the lateness rate. Results:The waiting time in the 15 min appointment, the 30 min appointment and manual appointment groups were (27.08 ± 17.21), (34.57± 19.12) and (41.50 ±20.94) min, respectively. There was statistical significance among three appointment regimens ( F=254.97, P<0.001). The waiting time was the shortest in the 15 min appointment group, followed by the 30 min appointment group, and the manual appointment group (all P<0.001 for two-group comparison). The fixedness of treatment time in the 15 min appointment, the 30 min appointment and the manual appointment groups were (15.60±7.87), (18.69±8.94) and (24.30±15.10) min, respectively. There was statistical significance among three groups ( F=25.23, P<0.001). Among them, the fixedness of treatment time in the 15 min appointment group was the highest, followed by the 30 min appointment group, and the manual appointment group (all P<0.001). The lateness rates in the 15 min appointment, the 30 min appointment and the manual appointment groups were 5.7%, 6.2% and 9.6%, respectively. The lateness rate in the manual appointment group was higher than those in the 15 min appointment and the 30 min appointment groups ( χ2=19.24、14.90, both P<0.001), but there was no statistical significance in the lateness rate between the 15 min appointment and 30min appointment groups ( χ2=0.39, P=0.535). Conclusion:In the clinical practice of conventional intensity-modulated radiotherapy technology carried out by conventional linear accelerator, the 15 min appointment regimen can shorten the waiting time for radiotherapy and improve the fixedness of daily radiotherapy time, which is worthy of clinical promotion.

Objective:To construct a thyroid nodule segmentation model using ultrasound dynamic images and explore its potential for assisting in the screening of thyroid nodules.Methods:A total of 126 patients with thyroid nodules（comprising 150 nodules）who were diagnosed and treated at Xuzhou Cancer Hospital from April 2024 to December 2024 were prospectively enrolled. Two-dimensional ultrasound was performed to capture short-axis and long-axis video images of thyroid nodules，forming a dynamic ultrasound image dataset. The dataset was divided into training，validation，and test sets in a ratio of 6∶1∶3. After the training loss curve converged，the model that performed well on the validation set was selected for testing. Three-fold cross-validation was employed for training and testing. All 300 ultrasound videos were divided into three subsets. In each experiment，two subsets were used as the training set，and one subset was used as the test set to evaluate the model's generalization ability. A collaborative spatiotemporal diffusion model was established based on the dynamic trends and tissue texture details of thyroid nodules. Six widely used segmentation metrics were employed to evaluate the model's application capabilities.Results:The study included 126 patients with 150 thyroid nodules，300 dynamic ultrasound images，and video lengths of 3-4 seconds per nodule，resulting in 12 312 segmented images. The size of the thyroid nodules was（10.7 ± 10.6）mm（transverse diameter）×（8.4 ± 6.3）mm（anteroposterior diameter）. Among the nodules，62（41.3%）had clear boundaries，while 88（58.7%）had indistinct boundaries；61（40.7%）exhibited regular shapes，while 89（59.3%）were irregular；66（44.0%）had a taller-than-wide aspect ratio；and 70（46.7%）showed microcalcifications. The collaborative diffusion model based on dynamic ultrasound image segmentation achieved the following scores：a Jaccard score of（69.22 ± 0.03）%，a Dice score of（79.16 ± 0.18）%，a Precision score of（86.70 ± 0.17）%，a Recall score of（77.82 ± 0.04）%，an Sα score of（85.26 ± 0.01）%，and an Eθmn score of（90.58 ± 0.17）%. Compared to other models，this model demonstrated significant improvements across all evaluation metrics，achieving the highest values in each metric with increments of over 8% and 1%，respectively. Conclusions:The collaborative diffusion model with a dynamic controller，constructed based on dynamic ultrasound images of thyroid nodules，demonstrates excellent performance in ultrasound image segmentation. It improves the accuracy of thyroid nodule screening，thereby providing a valuable auxiliary diagnostic tool for clinical practice.

Objective:To construct a thyroid nodule segmentation model using ultrasound dynamic images and explore its potential for assisting in the screening of thyroid nodules.Methods:A total of 126 patients with thyroid nodules（comprising 150 nodules）who were diagnosed and treated at Xuzhou Cancer Hospital from April 2024 to December 2024 were prospectively enrolled. Two-dimensional ultrasound was performed to capture short-axis and long-axis video images of thyroid nodules，forming a dynamic ultrasound image dataset. The dataset was divided into training，validation，and test sets in a ratio of 6∶1∶3. After the training loss curve converged，the model that performed well on the validation set was selected for testing. Three-fold cross-validation was employed for training and testing. All 300 ultrasound videos were divided into three subsets. In each experiment，two subsets were used as the training set，and one subset was used as the test set to evaluate the model's generalization ability. A collaborative spatiotemporal diffusion model was established based on the dynamic trends and tissue texture details of thyroid nodules. Six widely used segmentation metrics were employed to evaluate the model's application capabilities.Results:The study included 126 patients with 150 thyroid nodules，300 dynamic ultrasound images，and video lengths of 3-4 seconds per nodule，resulting in 12 312 segmented images. The size of the thyroid nodules was（10.7 ± 10.6）mm（transverse diameter）×（8.4 ± 6.3）mm（anteroposterior diameter）. Among the nodules，62（41.3%）had clear boundaries，while 88（58.7%）had indistinct boundaries；61（40.7%）exhibited regular shapes，while 89（59.3%）were irregular；66（44.0%）had a taller-than-wide aspect ratio；and 70（46.7%）showed microcalcifications. The collaborative diffusion model based on dynamic ultrasound image segmentation achieved the following scores：a Jaccard score of（69.22 ± 0.03）%，a Dice score of（79.16 ± 0.18）%，a Precision score of（86.70 ± 0.17）%，a Recall score of（77.82 ± 0.04）%，an Sα score of（85.26 ± 0.01）%，and an Eθmn score of（90.58 ± 0.17）%. Compared to other models，this model demonstrated significant improvements across all evaluation metrics，achieving the highest values in each metric with increments of over 8% and 1%，respectively. Conclusions:The collaborative diffusion model with a dynamic controller，constructed based on dynamic ultrasound images of thyroid nodules，demonstrates excellent performance in ultrasound image segmentation. It improves the accuracy of thyroid nodule screening，thereby providing a valuable auxiliary diagnostic tool for clinical practice.

Objective:To compare the effects of different appointment regimens on the daily waiting time, fixedness of treatment time and lateness rate of radiotherapy patients.Methods:Medical records of 5488 radiotherapy from 332 patients on the same linear accelerator in West China Hospital of Sichuan University from March to June 2022 were selected. Based on the radiotherapy information integration platform of MOSAIQ, all patients were randomly assigned to the morning class, afternoon class and evening class. Traditional manual appointment regimen was adopted for the morning class, 30 min appointment regimen for the afternoon class, and 15 min appointment regimen for the evening class, respectively. The differences in patient waiting time for treatment, fixedness of treatment time, and lateness rate under different appointment regimens were compared. The fixedness of treatment time and waiting time was determined by one-way ANOVA, and the 2×3 Chi-square test was adopted for the lateness rate. Results:The waiting time in the 15 min appointment, the 30 min appointment and manual appointment groups were (27.08 ± 17.21), (34.57± 19.12) and (41.50 ±20.94) min, respectively. There was statistical significance among three appointment regimens ( F=254.97, P<0.001). The waiting time was the shortest in the 15 min appointment group, followed by the 30 min appointment group, and the manual appointment group (all P<0.001 for two-group comparison). The fixedness of treatment time in the 15 min appointment, the 30 min appointment and the manual appointment groups were (15.60±7.87), (18.69±8.94) and (24.30±15.10) min, respectively. There was statistical significance among three groups ( F=25.23, P<0.001). Among them, the fixedness of treatment time in the 15 min appointment group was the highest, followed by the 30 min appointment group, and the manual appointment group (all P<0.001). The lateness rates in the 15 min appointment, the 30 min appointment and the manual appointment groups were 5.7%, 6.2% and 9.6%, respectively. The lateness rate in the manual appointment group was higher than those in the 15 min appointment and the 30 min appointment groups ( χ2=19.24、14.90, both P<0.001), but there was no statistical significance in the lateness rate between the 15 min appointment and 30min appointment groups ( χ2=0.39, P=0.535). Conclusion:In the clinical practice of conventional intensity-modulated radiotherapy technology carried out by conventional linear accelerator, the 15 min appointment regimen can shorten the waiting time for radiotherapy and improve the fixedness of daily radiotherapy time, which is worthy of clinical promotion.

OBJECTIVE To explore the improving effect of luteolin （Lut） on placental dysfunction in rats with gestational diabetes mellitus （GDM） and its potential mechanism based on hedgehog （Hh） signaling pathway. METHODS Twenty female rats were randomly selected as a control group and fed a normal diet. The remaining female rats were fed a high-fat and high-sugar diet for 8 weeks and then caged with male rats. Pregnant rats were administered 35 mg/kg streptozotocin intraperitoneally to establish GDM models. Successfully modeled female rats were randomly allocated to model group， SAG group （Hh signaling pathway activator SAG 50 mg/kg）， Lut low-dose group （Lut 40 mg/kg）， Lut high-dose group （Lut 80 mg/kg）， and Lut high+ITR group （Lut 80 mg/kg+Hh signaling pathway antagonist itraconazole 50 mg/kg）， with 20 rats in each group. Female rats in each drug group were intubated with the corresponding drug solution once a day for 19 days. After the final administration， the serum glucose- fat metabolic parameters （levels of fasting blood glucose and fasting insulin， insulin resistance index）， placental quality， placental permeability [Evan’s blue （EB） content]， and pathological changes in placental tissue were observed. The activities of superoxide dismutase （SOD）， the contents of malondialdehyde （MDA） and reduced glutathione （GSH）， and the protein expressions of Sonic Hh （Shh）， Patched-1 （Ptch1）， Smoothened （Smo） and Gli family zinc finger-1 （Gli1） in placental tissue were detected. HBB_ RESULTS Compared with the control group， rats in the model group showed narrow capillary lumens， perivascular fibrosis in placental tissue， and a significant increase in serum glucose-fat metabolic parameters， placental quality， contents of EB and MDA， while there was a significant decrease in SOD activity， GSH content， and protein expressions of Shh， Ptch1， Smo and Gli1 （P＜0.05）. Compared with the model group， rats in the SAG group， Lut low-dose and high-dose groups had widened capillary lumens， a significant decrease in perivascular fibrosis in placental tissue， serum glucose-fat metabolic parameters， placental qualities， EB and MDA contents， while there was a significant increase in SOD activities， GSH contents， and protein expressions of Shh， Ptch1， Smo and Gli1 （P＜0.05）， with the high-dose group showing no significant difference compared to the SAG group （P＞0.05）. The Hh signaling pathway antagonist itraconazole could significantly reverse the improving effects of Lut on the above indicators （P＜0.05）. CONCLUSIONS Lut can improve glucose metabolism parameters of GDM rats， reduce placental permeability， alleviate pathological damage to placental tissue， and reduce oxidative stress. These effects may be related to the activation of the Hh signaling pathway.

【Objective】 Diabetic mice could show learning and memory dysfunction, and we aimed to investigate the effect of Sigma-1 receptor agonist, PRE-084, on neurons and cognitive impairment in mice with type 1 diabetes (T1DM). 【Methods】 Twenty mice with T1DM induced by streptozocin, aged 8-10 weeks, and 20 control mice (CON) were randomly divided into four groups (CON+Vehicle, CON+PRE-084, T1DM+Vehicle and T1DM+PRE-084). Mouse primary neurons were cultured in high glucose medium with PRE-084 and control solvent, respectively. The body weight, food and water intake, and fasting blood glucose level of mice in each group were detected and recorded. The learning and memory abilities of mice were detected by new object recognition experiment. The mitochondria-associated endoplasmic reticulum membrane (MAM) structure of neurons in hippocampal CA1 area of mice was detected by transmission electron microscope. And the expression levels of ATP and reactive oxygen species (ROS) in hippocampus of mice were detected by biochemical kit. Cell viability and ROS level of primary neurons were detected by CCK8 and cellular ROS kit. 【Results】 PRE-084 reduced the increase of body weight, food and water intake, and blood glucose caused by diabetes. PRE-084 significantly ameliorated the learning and memory impairment of the mice with T1DM, improved the changes of MAM structure in neurons of hippocampal CA1 area of diabetic mice, increased the level of ATP in hippocampus of diabetic mice, and decreased the increase of ROS expression in diabetic hippocampus and neurons under high glucose conditions. 【Conclusion】 Sigma-1 receptor agonist, PRE-084, could improve learning and memory impairment in the mice with T1DM, which might be related to the structural changes of MAM, the increase of ATP production, and the decrease of ROS production in hippocampal neurons.

【Objective】 To explore the effect of high-fat and high-fructose diet on mouse intestinal barrier function, as well as the role of ketohexokinase (KHK), the key enzyme in fructose metabolism, in intestinal barrier impairment. 【Methods】 Eight-week-old male control C57BL/6J mice and Khk^-/- mice were randomly divided into control + normal diet (ND), control + high-fat and high-fructose diet (HFHFD), Khk^-/-+ normal diet (ND+Khk^-/-), and Khk^-/-+ high-fat and high-fructose diet (HFHFD+Khk^-/-) groups, with eight mice in each group. During the high-fat and high-fructose diet and normal diet, the body weight changes of mice in different groups were recorded. After the intervention, the blood glucose and insulin levels of mice in each group were detected. The intestinal barrier function and inflammation level of mice were evaluated by detecting intestinal water content, permeability, tight junction protein expression, serum and intestinal inflammatory factor levels. 【Results】 Compared with ND group, HFHFD group significantly increased the body weight, blood glucose and insulin levels of mice, increased the intestinal water content and permeability, decreased the expression of tight junction proteins, and increased inflammatory factors of the serum and intestines. In the two groups fed with high-fat and high-fructose diet, the body weight, blood glucose and insulin levels of the HFHFD+Khk^-/- group were significantly lower than those of HFHFD group, and the intestinal barrier dysfunction and inflammation were significantly improved. 【Conclusion】 KHK, a key enzyme in fructose metabolism, is involved in the impairment of intestinal barrier caused by high-fat and high-fructose diet. Knockout of Khk gene significantly improved intestinal barrier dysfunction and the inflammation level.

【Objective】 To explore the effect of cilostazol on intestinal barrier function in type 2 diabetes (T2DM). 【Methods】 The GSE142153 dataset was downloaded from GEO database to analyze gene changes in diabetic patients. Eight-week-old male db/db mice and control m/m mice were randomly divided into m/m+cmc, m/m+cilo, db/db+cmc, and db/db+cilo groups. Mice in different groups were given cilostazol and corresponding solvents for 4 weeks. We detected the levels of serum sCD40L and the expression of CD40 in intestinal tissue, and evaluated the mice’s intestinal barrier function by examining intestinal permeability, water content, bacterial number, and tight junction protein expression in different groups. 【Results】 Differential expressed genes were enriched in platelet activation and endothelial barrier function pathways in diabetic patients. Compared with those in the control group, the levels of serum sCD40L in db/db diabetic mice elevated significantly, and the CD40 expression, permeability, water content and bacterial number in intestinal tissue increased obviously, while the expression of tight junction protein decreased. Cilostazol treatment in diabetic mice decreased the levels of serum sCD40L and CD40, and alleviated significantly the intestinal barrier dysfunction. 【Conclusion】 Cilostazol attenuated the damage of intestinal barrier function in T2DM, and its protective effect may be related to the inhibition of platelet activation in diabetic mice.