Objective: To evaluate the intervention effectiveness of co-occurrence and prevention for myopia and obesity among primary and secondary school students, so as to provide a scientific basis for the development of comprehensive intervention measures in myopia and obesity. Methods: From September 2022 to September 2023, a cluster random sampling method was used to select 6 primary schools and 6 junior high schools from Tongzhou District, Beijing. Participants were randomly assigned to an intervention group (914 before intervention and 754 after intervention) and a control group (868 before intervention and 652 after intervention), with an expected duration of one academic year. Based on the RE-AIM framework, integrate resources from families, schools, communities, and medical institutions to develop a school-based intervention technology packagefor the co-occurrence and prevention of myopia and obesity in children. The intervention group received intervention according to the comprehensive intervention technology package, while the control group did not receive any intervention measures. Relevant health indicators during the baseline period and after intervention were measured and collected, and groups were compared by Chi quest test, t-test and Wilcoxon rank sum test. Results: After intervention, the uncorrected visual acuity of primary and secondary school students in the intervention group (4.79±0.30) and the control group (4.77±0.33) both decreased compared to those before intervention (4.80±0.30, 4.90±0.32) ( t =-7.00,-5.24); the decrease in uncorrected visual acuity in the intervention group was smaller than that in the control group( t =5.33)( P <0.01). After intervention, body mass index, waist circumference, hip circumference, and body fat percentage of primary and secondary school students in the intervention group decreased compared to those before intervention. However, the changes in these indicators were not statistically significant ( t/Z =-0.03, - 0.36，- 0.30，- 0.01, P >0.05); the above indicators in the control group increased compared to those before intervention, but only hip circumference and body fat percentage showed statistically significant changes ( t/Z =2.17, 2.62, P <0.05). After intervention, both the intervention group and the control group showed increases in systolic and diastolic blood pressure compared to those before intervention(intervention group: t =2.16,5.29; control group: t =6.84,5.07); the intervention group had lower systolic and diastolic blood pressure than the control group( t = -5.27 , -2.08)( P <0.05). After intervention, the intervention and the control groups had statistically significant differences in cognitive accuracy(92.48%, 69.33%) in terms of "outdoor exercise can prevent myopia" and "having 5 servings of adult fist sized vegetables and fruits every day" ( χ 2=6.30, 7.86, P <0.05). There was a statistically significant difference in the proportion of primary and secondary school students in the intervention group (40.98%) and the control group (35.43%) for "who did not drink sugary drinks for every day in the past 7 days" ( χ 2=4.32, P <0.05). After intervention, the intervention group and the control group showed increases in "school outdoor activity duration on school days" and "outdoor activity duration on rest days" compared to those before intervention ( t/Z =-13.32,-9.71;- 2.59，-2.69）；the behavior rate of "visual acuity measurement frequency at least once every 3 months" in the intervention group (46.68%) and the control group (52.76%) increased compared to those before intervention (36.43%, 44.01%), and the increases in the intervention group were greater than that in the control group ( χ 2=17.52,11.08) ( P <0.05). Conclusions Comprehensive intervention measures have significant intervention effects on controlling the occurrence and development of comorbidity of myopia and obesity in children. It could actively promote collaboration and cooperation among families, schools, communities and medical institutions to reduce the occurrence of myopia and obesity among primary and secondary school students.

BACKGROUND:Hydroxy safflower yellow A has anti-ischemia,anti-oxidation,anti-thrombotic and anti-inflammatory effects.Whether it affects neuronal pyroptosis after glucose-oxygen deprivation/reglucose-reoxygenation is still unclear. OBJECTIVE:To investigate the protective effect of hydroxy safflower yellow A on neuronal pyroptosis and its mechanism. METHODS:HT22 cells in logarithmic growth phase were randomly divided into five groups:normal group,model group,hydroxy safflower yellow A group,colivelin group,and colivelin+hydroxy safflower yellow A group.HT22 cells were treated with glucose-oxygen deprivation/reglucose-reoxygenation to establish neuronal pyroptosis model,and then treated with STAT3 agonist Colivelin and hydroxy safflower yellow A.JC-1 probe was employed to assess changes in mitochondrial membrane potential.Reactive oxygen species kit was used to determine the content of reactive oxygen species in cells.GSDMD/TUNEL staining was conducted to observe cell pyroptosis.Immunofluorescence analysis was performed to detect STAT3 and GSDMD protein expression.RT-PCR was utilized for assessing mRNA expression levels of STAT3,NLRP3,and Caspase-1.Western blot assay was utilized to measure the protein expression levels of p-STAT3,NLRP3,GSDMD,Cleaved-caspase-1,and interleukin-1β. RESULTS AND CONCLUSION:(1)Compared with the normal group,the number of pyroptotic cells increased in HT22 cells in the model group along with a significant increase in protein expression levels of p-STAT3,NLRP3,Cleaved-caspase-1,GSDMD,and interleukin-1β.Compared with the model group,the number of pyroptotic cells reduced,and the expression of pyroptosis-related proteins significantly decreased in the hydroxy safflower yellow A group.(2)In comparison with the model group,pyroptosis worsened in the colivelin group where mitochondrial membrane potential decreased along with elevated reactive oxygen species content and increased mRNA expression levels of STAT3,NLRP3,and Caspase-1,as well as increased protein expression levels of p-STAT3,NLRP3,GSDMD,Cleaved-caspase-1,and interleukin-1β.Compared with the Colivelin group,above indexes were improved in the colivelin+hydroxy safflower yellow A group.These results suggest that hydroxy safflower yellow A plays a neuroprotective role through STAT3 signaling pathway to inhibit HT22 pyroptosis after glucose-oxygen deprivation/reglucose-reoxygenation treatment.

Exosomes are ubiquitous in all types of body fluids, exhibiting a high degree of abundance and diversity. Given their distinctive structure and function, exosomes are involved in a range of life activities, including intercellular communication, material transport, and immune regulation. An increasing number of studies have identified exosomes as a source of diagnostic markers for diabetic retinopathy. Furthermore, exosomes represent a novel avenue for therapeutic intervention, with promising clinical applications. This paper examines the diagnostic and therapeutic mechanisms of exosomes in diabetic retinopathy, reviews the advancements in exosomes-based diagnostics and therapeutics for diabetic retinopathy, and aims to enhance the precision and efficiency of clinical diagnosis and treatment of diabetic retinopathy.

BACKGROUND:How to effectively promote bone regeneration and bone reconstruction after bone injury has always been a key issue in clinical bone repair research.The use of biological and degradable materials loaded with bioactive factors to treat bone defects has excellent application prospects in bone repair. OBJECTIVE:To investigate the effect of polylactic acid-glycolic acid copolymer(PLGA)composite scaffold modified by lysine-grafted graphene oxide nanoparticles(LGA-g-GO)on osteogenic differentiation and new bone formation. METHODS:PLGA was dissolved in dichloromethane and PLGA scaffold was prepared by solvent evaporation method.PLGA/GO composite scaffolds were prepared by dispersing graphene oxide uniformly in PLGA solution.LGA-g-GO nanoparticles were prepared by chemical grafting method,and the PLGA/LGA-g-GO composite scaffolds were constructed by blending LGA-g-GO nanoparticles at different mass ratios(1%,2%,and 3%)with PLGA.The micromorphology,hydrophilicity,and protein adsorption capacity of scaffolds of five groups were characterized.MC3T3 cells were inoculated on the surface of scaffolds of five groups to detect cell proliferation and osteogenic differentiation. RESULTS AND CONCLUSION:(1)The surface of PLGA scaffolds was smooth and flat under scanning electron microscope,while the surface of the other four scaffolds was rough.The surface roughness of the composite scaffolds increased with the increase of the addition of LGA-g-GO nanoparticles.The water contact angle of PLGA/LGA-g-GO(3%)composite scaffolds was lower than that of the other four groups(P<0.05).The protein adsorption capacity of PLGA/LGA-g-GO(1%,2%,and 3%)composite scaffolds was stronger than PLGA and PLGA/GO scaffolds(P<0.05).(2)CCK-8 assay showed that PLGA/LGA-g-GO(2%,3%)composite scaffold could promote the proliferation of MC3T3 cells.Alkaline phosphatase staining and alizarin red staining showed that the cell alkaline phosphatase activity in PLGA/LGA-g-GO(2%,3%)group was higher than that in the other three groups(P<0.05).The calcium deposition in the PLGA/GO and PLGA/LGA-g-GO(1%,2%,and 3%)groups was higher than that in the PLGA group(P<0.05).(3)In summary,PLGA/LGA-g-GO composite scaffold can promote the proliferation and osteogenic differentiation of osteoblasts,and is conducive to bone regeneration and bone reconstruction after bone injury.

Abstract In order to understand and analyze the current standards and application of school desks and chairs for primary and secondary schools, and to promote the healthy growth of primary and secondary school students. The article conducts a comprehensive review of the functional and dimensional standards for school furniture both domestically and internationally, and objectively analyzes the current utilization and existing issues concerning desks and chairs in schools. It further explores the multifaceted factors that influence the allocation of desks and chairs, and proposes effective countermeasures, so as to provide a reference for the risk factors of common diseases related to desks and chairs, such as myopia and abnormal spinal curvature.

Objective To evaluate the performance of the artificial intelligence (AI)-enabled snail identification system for recognition of Oncomelania hupensis robertsoni and Tricula in schistosomiasis-endemic areas of Yunnan Province. Methods Fifty O. hupensis robertsoni and 50 Tricula samples were collected from Yongbei Township, Yongsheng County, Lijiang City, a schistosomiasis-endemic area in Yunnan Province in May 2024. A total of 100 snail sample images were captured with smartphones, including front-view images of 25 O. hupensis robertsoni and 25 Tricula samples (upward shell opening) and back-view images of 25 O. hupensis robertsoni and 25 Tricula samples (downward shell opening). Snail samples were identified as O. hupensis robertsoni or Tricula by schistosomiasis control experts with a deputy senior professional title and above according to image quality and morphological characteristics. A standard dataset for snail image classification was created, and served as a gold standard for recognition of snail samples. A total of 100 snail sample images were recognized with the AI-enabled intelligent snail identification system based on a WeChat mini program in smartphones. Schistosomiasis control professionals were randomly sampled from stations of schistosomisis prevention and control and centers for disease control and prevention in 18 schistosomiasis-endemic counties (districts, cities) of Yunnan Province, for artificial identification of 100 snail sample images. All professionals are assigned to two groups according the median years of snail survey experiences, and the effect of years of snail survey experiences on O. hupensis robertsoni sample image recognition was evaluated. A receiver operating characteristic (ROC) curve was plotted, and the sensitivity, specificity, accuracy, Youden’s index and the area under the curve (AUC) of the AI-enabled intelligent snail identification system and artificial identification were calculated for recognition of snail sample images. The snail sample image recognition results of AI-enabled intelligent snail identification system and artificial identification were compared with the gold standard, and the internal consistency of artificial identification results was evaluated with the Cronbach’s coefficient alpha. Results A total of 54 schistosomiasis control professionals were sampled for artificial identification of snail sample image recognition, with a response rate of 100% (54/54), and the accuracy, sensitivity, specificity, Youden’s index, and AUC of artificial identification were 90%, 86%, 94%, 0.80 and 0.90 for recognition of snail sample images, respectively. The overall Cronbach’s coefficient alpha of artificial identification was 0.768 for recognition of snail sample images, and the Cronbach’s coefficient alpha was 0.916 for recognition of O. hupensis robertsoni snail sample images and 0.925 for recognition of Tricula snail sample images. The overall accuracy of artificial identification was 90% for recognition of snail sample images, and there was no significant difference in the accuracy of artificial identification for recognition of O. hupensis robertsoni (86%) and Tricula snail sample images (94%) (χ² = 1.778, P > 0.05). There was no significant difference in the accuracy of artificial identification for recognition of snail sample images with upward (88%) and downward shell openings (92%) (χ² = 0.444, P > 0.05), and there was a significant difference in the accuracy of artificial identification for recognition of snail sample images between schistosomiasis control professionals with snail survey experiences of 6 years and less (75%) and more than 6 years (90%) (χ² = 7.792, P < 0.05). The accuracy, sensitivity, specificity and AUC of the AI-enabled intelligent snail identification system were 88%, 100%, 76% and 0.88 for recognition of O. hupensis robertsoni snail sample images, and there was no significant difference in the accuracy of recognition of O. hupensis robertsoni snail sample images between the AI-enabled intelligent snail identification system and artificial identification (χ² = 0.204, P > 0.05). In addition, there was no significant difference in the accuracy of artificial identification for recognition of snail sample images with upward (90%) and downward shell openings (86%) (χ² = 0.379, P > 0.05), and there was a significant difference in the accuracy of artificial identification for recognition of snail sample images between schistosomiasis control professionals with snail survey experiences of 6 years and less and more than 6 years (χ² = 5.604, P_adjusted < 0.025). Conclusions The accuracy of recognition of snail sample images is comparable between the AI-enabled intelligent snail identification system and artificial identification by schistosomiasis control professionals, and the AI-enabled intelligent snail identification system is feasible for recognition of O. hupensis robertsoni and Tricula in Yunnan Province.

ObjectiveTo explore the molecular mechanism by which gypenoside L （Gyp-L） promotes apoptosis and inhibits ovarian cancer （OC） through the FK506-binding protein （FKBP） prolyl isomerase 8 （FKBP8）/B-cell lymphoma-2 （Bcl-2） axis， with the piR-hsa-2804461 pathway as a breakthrough point. MethodsThe effects of different concentrations of Gyp-L and cis-platinum on the proliferation of OVCAR3 cells were determined by the cell count kit-8 method to identify the appropriate intervention concentration for subsequent experiments. OVCAR3 cells were allocated into blank， low-dose Gyp-L （Gyp-L-L， 50 µmol·L^-1）， high-dose Gyp-L （Gyp-L-H， 100 µmol·L^-1）， and cis-platinum （15 µmol·L^-1） groups. The migration， colony formation， and apoptosis of OVCAR3 cells were detected by the cell scratch assay， colony formation assay， and flow cytometry， respectively. The mRNA levels of piR-hsa-2804461 and FKBP8/Bcl-2 axis-related genes in OVCAR3 cells were determined by Real-time PCR， and the expression levels of FKBP8/Bcl-2 axis-related proteins were determined by simple Western blot. Further， an OVCAR3 cell model with piR-hsa-2804461 knocked out was constructed. The cells were allocated into blank， NC-inhibitor， inhibitor， NC-inhibitor+Gyp-L， and inhibitor+Gyp-L groups. The colony formation of OVCAR3 cells was detected by the colony formation assay. The mRNA levels of piR-hsa-2804461 and FKBP8/Bcl-2 axis-related genes and the expression levels of FKBP8/Bcl-2 axis-related proteins were determined by Real-time PCR and simple Western blotting， respectively. ResultsGyp-L inhibited the migration and proliferation （P<0.01）， promoted the apoptosis （P<0.05）， up-regulated the mRNA level of piR-hsa-2804461 （P<0.05）， and down-regulated the mRNA and protein levels of FKBP8 and Bcl-2 （P<0.05） in OVCAR3 cells. Furthermore， Gyp-L increased the mRNA and protein levels of Bcl-2-associated X protein （Bax）， cysteinyl aspartate-specific proteinase （Caspase）-3， and Caspase-9， which are related to the FKBP8/Bcl-2 axis （P<0.05）. ConclusionGyp-L may promote apoptosis by regulating the piR-hsa-2804461/FKBP8/Bcl-2 axis， thus affecting the occurrence of ovarian cancer.

ObjectiveTo explore the molecular mechanism of gypenoside L （Gyp-L） in the treatment of ovarian cancer （OC） by taking the glycolytic pathway of OC as the key point. MethodsThe proliferation activity of OVCAR3 cells was measured by the cell counting kit-8 （CCK-8） assay to determine the appropriate intervention concentration for subsequent experiments. The cell clone formation assay and the scratch healing assay were employed to assess the proliferation and migration capabilities of OVCAR3 cells. OVCAR3 cells were divided into a blank group， a Gyp-L-L group （low concentration of Gyp-L， 50 µmol·L^-1）， a Gyp-L-H group （high concentration of Gyp-L， 100 µmol·L^-1）， and a cisplatin （15 µmol·L^-1） group. The glucose consumption in OC cells was determined using a kit， and the expression levels of related mRNAs in OVCAR3 cells were detected by real-time fluorescence quantitative polymerase chain reaction （Real-time PCR）. The expressions of related proteins were detected by Wes automatic Western blot quantitative analysis. ResultsValidated by the cell scratch assay， the scratch healing rate of OVCAR3 cells was decreased after Gyp-L intervention， reflecting that Gyp-L could significantly inhibit the migration of OVCAR3 cells （P<0.05）. According to the clone formation assay， the cell colony formation ability of the Gyp-L-L group， Gyp-L-H group， and cisplatin group was significantly lower than that of the control group （P<0.05）. In OVCAR3 cells， compared with those in the control group， the levels of glucose consumption and lactate generation in the Gyp-L-L group and Gyp-L-H group were significantly reduced （P<0.05）， indicating that Gyp-L could effectively inhibit the glycolysis level of OC cells. Meanwhile， Gyp-L could suppress the expression levels of glucokinase （GCK）， phosphofructokinase liver （PFKL）， signal transducer and activator of transcription 3 （STAT3）， lactate dehydrogenase D （LDHD）， phosphoglycerate mutase 1 （PGAM1）， mRNAs， and proteins related to the glycolytic pathway in OC cells. ConclusionGyp-L may inhibit the occurrence and development of OC by influencing the GCK-mediated glycolytic pathway.

ObjectiveTo explore the molecular mechanism by which gypenoside L （Gyp-L） promotes apoptosis and inhibits ovarian cancer （OC） through the FK506-binding protein （FKBP） prolyl isomerase 8 （FKBP8）/B-cell lymphoma-2 （Bcl-2） axis， with the piR-hsa-2804461 pathway as a breakthrough point. MethodsThe effects of different concentrations of Gyp-L and cis-platinum on the proliferation of OVCAR3 cells were determined by the cell count kit-8 method to identify the appropriate intervention concentration for subsequent experiments. OVCAR3 cells were allocated into blank， low-dose Gyp-L （Gyp-L-L， 50 µmol·L^-1）， high-dose Gyp-L （Gyp-L-H， 100 µmol·L^-1）， and cis-platinum （15 µmol·L^-1） groups. The migration， colony formation， and apoptosis of OVCAR3 cells were detected by the cell scratch assay， colony formation assay， and flow cytometry， respectively. The mRNA levels of piR-hsa-2804461 and FKBP8/Bcl-2 axis-related genes in OVCAR3 cells were determined by Real-time PCR， and the expression levels of FKBP8/Bcl-2 axis-related proteins were determined by simple Western blot. Further， an OVCAR3 cell model with piR-hsa-2804461 knocked out was constructed. The cells were allocated into blank， NC-inhibitor， inhibitor， NC-inhibitor+Gyp-L， and inhibitor+Gyp-L groups. The colony formation of OVCAR3 cells was detected by the colony formation assay. The mRNA levels of piR-hsa-2804461 and FKBP8/Bcl-2 axis-related genes and the expression levels of FKBP8/Bcl-2 axis-related proteins were determined by Real-time PCR and simple Western blotting， respectively. ResultsGyp-L inhibited the migration and proliferation （P<0.01）， promoted the apoptosis （P<0.05）， up-regulated the mRNA level of piR-hsa-2804461 （P<0.05）， and down-regulated the mRNA and protein levels of FKBP8 and Bcl-2 （P<0.05） in OVCAR3 cells. Furthermore， Gyp-L increased the mRNA and protein levels of Bcl-2-associated X protein （Bax）， cysteinyl aspartate-specific proteinase （Caspase）-3， and Caspase-9， which are related to the FKBP8/Bcl-2 axis （P<0.05）. ConclusionGyp-L may promote apoptosis by regulating the piR-hsa-2804461/FKBP8/Bcl-2 axis， thus affecting the occurrence of ovarian cancer.

ObjectiveTo explore the molecular mechanism of gypenoside L （Gyp-L） in the treatment of ovarian cancer （OC） by taking the glycolytic pathway of OC as the key point. MethodsThe proliferation activity of OVCAR3 cells was measured by the cell counting kit-8 （CCK-8） assay to determine the appropriate intervention concentration for subsequent experiments. The cell clone formation assay and the scratch healing assay were employed to assess the proliferation and migration capabilities of OVCAR3 cells. OVCAR3 cells were divided into a blank group， a Gyp-L-L group （low concentration of Gyp-L， 50 µmol·L^-1）， a Gyp-L-H group （high concentration of Gyp-L， 100 µmol·L^-1）， and a cisplatin （15 µmol·L^-1） group. The glucose consumption in OC cells was determined using a kit， and the expression levels of related mRNAs in OVCAR3 cells were detected by real-time fluorescence quantitative polymerase chain reaction （Real-time PCR）. The expressions of related proteins were detected by Wes automatic Western blot quantitative analysis. ResultsValidated by the cell scratch assay， the scratch healing rate of OVCAR3 cells was decreased after Gyp-L intervention， reflecting that Gyp-L could significantly inhibit the migration of OVCAR3 cells （P<0.05）. According to the clone formation assay， the cell colony formation ability of the Gyp-L-L group， Gyp-L-H group， and cisplatin group was significantly lower than that of the control group （P<0.05）. In OVCAR3 cells， compared with those in the control group， the levels of glucose consumption and lactate generation in the Gyp-L-L group and Gyp-L-H group were significantly reduced （P<0.05）， indicating that Gyp-L could effectively inhibit the glycolysis level of OC cells. Meanwhile， Gyp-L could suppress the expression levels of glucokinase （GCK）， phosphofructokinase liver （PFKL）， signal transducer and activator of transcription 3 （STAT3）， lactate dehydrogenase D （LDHD）， phosphoglycerate mutase 1 （PGAM1）， mRNAs， and proteins related to the glycolytic pathway in OC cells. ConclusionGyp-L may inhibit the occurrence and development of OC by influencing the GCK-mediated glycolytic pathway.