Obesity is a risk factor and pathological basis for various chronic non-communicable diseases and is an important risk factor leading to human mortality and disability. The harm of obesity to the body includes not only various systemic diseases but also some ocular diseases. Currently, the higher pursuit of life and visual quality has led to increased attention to the etiology and prevention of ocular diseases, and the impact of obesity on ocular diseases has been gradually discovered. This article reviews the impact of obesity on certain ocular diseases to deepen the understanding of obesity's impact on ocular diseases and provide a reference for the prevention and treatment of ocular diseases.

Objective To explore the role of neogambogic acid in the characteristics of colorectal cancer stem cells (CRC-CSCs) through the Wnt/β-catenin signaling pathway. Methods The colorectal cells SW480 and HCT166 were divided into control group and neogambogic acid groups (1.5, 3, 6, and 12 μmol/L). The viability of CRC-CSCs was determined by MTT method, and spheroid and clone formation assays were used to assess the capacity of spheroid formation and self-renewal ability of the cells. The effects of neogambogic acid on the apoptosis and cell cycle of CRC-CSCs were evaluated by flow cytometry assays. Real-time quantitative PCR was used to detect the mRNA expression levels of relative markers (CD133, CD44, ALDH1, Oct4, and Nanog) of CRC-CSCs, and the protein expression levels of the self-renewal marker (PCNA), apoptosis markers (cleaved caspase-3 and cleaved caspase-9), and Wnt/β-catenin signaling pathway markers (p-GSK3β, GSK3β, β-catenin, and Wnt) were analyzed using Western blot. Results Compared with the control group, after neogambogic acid treatment, the viability of SW480 and HCT116 cells decreased (P<0.05), the spheroid forming ability and the clone numbers of CRC-CSCs decreased (P<0.001, P<0.01) but the cell apoptosis rate increased (P<0.01), and cell cycle was arrested in G₀/G₁ phase. Moreover, neogambogic acid downregulated the mRNA and protein expression of relative markers of CRC-CSCs (CD133, CD44, ALDH1, Oct4, and Nanog), PCNA, p-GSK3β, β-catenin, and Wnt (P<0.05) and upregulated the expression of cleaved caspase-3, cleaved caspase-9, and GSK3β (P<0.01). Conclusion Neogambogic can inhibit the stem cell properties of colorectal cells via inhibition of Wnt/β-catenin signaling pathway. As a result, neogambogic acid may be an attractive agent against colorectal cancer.

Objective: To design HBV DNA proficiency testing and system comparison samples with different concentration gradients, analyze their detection results in PCR detection systems, evaluate the nucleic acid detection capabilities of laboratories and differences between detection systems, and put forward suggestions for continuous quality improvement to participating laboratories. Methods: Three groups of randomly numbered proficiency testing samples (with HBV DNA reference concentrations of <2, 7.5, and 30 IU/mL respectively) were taken as the detection objects. Using nucleic acid test data from 11 provincial blood station laboratories as the source, the samples were grouped by detection system and laboratory successively, and statistical analysis was conducted. Results: Statistical analysis of the detection data of the three groups of samples based on detection systems and laboratories showed that from low to high concentration, the coincidence rate between the detection results of different detection systems and laboratories and the expected results showed an increasing trend: 38.89%, 85.90%, and 100.00%; the same system exhibited certain differences in performance among different laboratories. Conclusion: Through this proficiency testing and system comparison, it is found that there are certain differences in the detection capabilities of different laboratories and different nucleic acid test systems. Blood station laboratories should standardize processes, strengthen quality management and data analysis on the basis of being familiar with the detection performance of their detection systems, and at the same time strengthen the control of laboratory interference factors to continuously improve the nucleic acid detection capabilities of blood station laboratories.

With the rapid development of science and technology and the wide application of electronic products, the number of patients with high myopia is gradually increasing. Meanwhile, owing to the continuous optimization of surgical skils and the continuous advancement in materials of posterior chamber intraocular lens and manufacturing processes, implantable collamer lens(ICL)V4c implantation has gradually become one of the main surgeries for the treatment of high myopia. In the rapid era of social information, people pay more attention to the long-term efficacy after ICL V4c implantation, they not only want clear vision, but also the pursuit of visual comfort and durability. Therefore, this paper will specifically discuss the research progress of the post-implantation efficacy of ICL V4c with at least 2 a of follow-up observation within 3 a, aiming to review the latest research progress on the long-term efficacy of ICL V4c implantation from the three dimensions of visual quality, safety, efficacy and stability and possible surgical complications after ICL V4c implantation.

Objective: To understand the level of nutritional literacy and its influencing factors among schoolage children in grades 4-9 in Guizhou Province, and to explore the relationship between nutritional literacy and physical health, so as to provide reference for improving nutritional literacy and physical health of schoolage children. Methods: Using multistage stratified cluster sampling method, 1 155 schoolage children in grades 4-6 in elementary school and grades 7-9 in secondary schools in three prefectural and municipal cities of Guizhou Province (Zunyi, Tongren, and Bijie) were sampled from February to July 2023, and were surveyed for nutritional literacy by using the "Food and Nutritional Literacy Questionnaire for Chinese Schoolage Children", and their physical health data (data on body measurement indicators, such as height, weight, lung capacity, and vertical jump) were obtained from the physical health surveillance platform. Pearson correlation analysis and binary Logistic regression modeling were used to explore the association between nutritional literacy and physical health. Results: The nutritional literacy score of the study population was (63.50±8.63), and the scores of each level of nutritional literacy in descending order were interactivity (66.09±13.99), functionality (63.84±8.80), and criticism (61.15±14.65); and the scores of cognitive domain of nutritional literacy, and skill domain were (64.71±10.77) (62.97±9.21); food selection, food preparation, and food intake dimension scores were (64.68±13.52) (56.39±12.17) (63.63±10.04), respectively. Differences in the total nutritional literacy scores of schoolaged children who were only children or not, by gender, ethnicity, grade level, primary caregiver, primary caregivers education, and family economic situation were statistically significant (t/F=2.88, -3.28, 5.02, 18.32, 4.67, 32.47, 32.53, P<0.05); the physical health pass rate was 85.8%, and the mean scores of the total physical health score, physical form, physical function, and physical fitness dimensions were (71.86±10.52) (93.29±12.06) (72.12±14.42) (67.26±13.13), respectively; after controlling for confounders, the nutritional literacy scores were positively correlated with physical health (OR=1.03, 95%CI=1.01-1.05, P<0.05). Conclusion Nutritional literacy scores of schoolage children in grades 4-9 in Guizhou Province are low, and there is a positive correlation between nutritional literacy and physical health in this school age children.

Objective To analyze the risk of return to sport in athletes using their gait data following anterior cruciate ligament re-construction(ACLR). Methods From May to June,2023,39 athletes after ACLR were recruited in Wuhan Sports University.Their data on sta-ble gait and tandem gait were recorded using a three-dimensional motion capture system,surface electromyogra-phy and a three-dimensional ergometer table.Additionally,return-to-sport scores were calculated using the K-STARTS test.The relationship between each gait indicator and the total score of the K-STARTS test was ana-lyzed with Pearson correlation analysis.Furthermore,the key indicators related to the risk of return to sport were analyzed using linear regression. Results In the stable gait test,the step time was negatively correlated with the total score of K-STARTS(r=-0.479,P=0.002),and the peak amplitude symmetry index of rectus femoris(r=0.448,P=0.004)and vastus lateralis(r=0.595,P=0.001)were positively correlated with the total score of K-STARTS.In the tandem gait test,the lateral displacement distance of the center of gravity was negatively correlated with the total score of K-STARTS(r=-0.341,P=0.034),and the time symmetry index of peak amplitude of vastus lateralis was positively correlated with the total score of K-STARTS(r=0.320,P=0.047).Regression analysis showed that the interpretation of the model based on stable gait(F=15.818,P=0.001,R2=0.650)was better than that based on tandem gait(F=7.692,P=0.001,R2=0.397). Conclusion In stable gait,gait rhythm variability and symmetry are correlated with return to sport risk.In tandem gait,gait balance and symmetry indexes are correlated with return-to-sport risk.Compared with tandem gait,the inter-pretation of return-to-sport risk assessment model based on stable gait information is better,and may be more suitable as a simple return-to-sport risk test method.

OBJECTIVE To study the fingerprint of Denghong buyang huanwu granules （DBHG）， screen the quality markers， and establish the method for content determination of active ingredients. METHODS HPLC method was adopted. The fingerprints of 10 batches of DBHG （S1-S10） were established by using the Similarity Evaluation System for Chromatographic Fingerprint of Traditional Chinese Medicine （2012 edition）， and similarity evaluation was also performed. Traditional Chinese medicine pieces attribution analysis， cluster analysis （CA）， principal component analysis （PCA） and orthogonal partial least squares discriminant analysis （OPLS-DA） were conducted for common peaks， and quality biomarkers were screened based on variable importance projection （VIP） values＞1. The contents of 10 batches of samples were determined by the same HPLC method， such as salidroside， tyrosol， calycosin-7-O-beta-D-glucoside， scutellarin and calycosin. RESULTS A total of 25 common peaks were obtained in the fingerprints for 10 batches of samples and 6 common peaks were identified， i.e. salidroside， tyrosol， paeoniflorin， calycosin-7-O-beta-D-glucoside， scutellarin， calycosin. Their similarities were greater than 0.9， and 10 common peaks of them were unique components of Erigeron breviscapus. DBHG could be clustered into 2 categories by using CA and PCA； S4-S5， and S7 could be clustered into one category and other samples could be clustered into one category. The corresponding components of peaks 16 （scutellarin）， 12， 15 （calycosin-7-O-beta-D-glucoside）， 13 （paeoniflorin）， and 14 were quality markers. The average contents of salidroside， tyrosol， calycosin-7-O-beta-D-glucoside， scutellarin and calycosin were 1.64， 0.45， 0.31， 0.73， 0.15 mg/g in 10 batches of samples. CONCLUSIONS HPLC fingerprint for DBHG and a method for determining the contents of five active ingredients including salidroside are successfully established. Five quality markers have been screened. It can be used for the quality control of the preparation.

African swine fever(ASF)is an acute and highly pathogenic hemorrhagic disease of pigs,causing huge economic losses to pig industry.In order to quantitatively detect clinical samples of ASF and inactivated ASFV antigens,the IgG of ASF positive serum was used as capture anti-body and the HRP-labeled p72 monoclonal antibody was used as detecting antibody.The standard curve was drawn with the cell-cultured ASFV,and a sandwich ELISA detection of antigen was es-tablished.The specificity,sensitivity and stability of the method were evaluated.The effects of dif-ferent inactivation methods and adjuvant addition on antigen detection were further evaluated.The results showed that the minimum detection limits of the recombinant protein and the ASFV were 0.1 mg/L and 103.7 TCID50/mL,respectively.There was no cross-reaction with five common porcine pathogenic viruses,and the coefficient variations between batches was less than 10％.The total co-incidence rate with real-time fluorescence quantitative PCR was 92％(23/25).The sensitivity of antigen detection was significantly reduced when antigen was treated by BEI inactivation,and the detection results were severely interfered by aluminum adjuvant and nano-adjuvant.In summary,the sandwich ELISA antigen detection method established is specific,sensitive,and repeatable,with a good consistency to the qPCR method,which provides an effective clinical diagnostic meth-od for ASFV antigen.

Objective:To explore the optimal blood glucose-lowering strategies for patients with diabetic ketoacidosis (DKA) to enhance personalized treatment effects using machine learning techniques based on the United States Critical Care Medical Information Mart for Intensive Care-Ⅳ(MIMIC-Ⅳ).Methods:Utilizing the MIMIC-Ⅳ database, the case data of 2 096 patients with DKA admitted to the intensive care unit (ICU) at Beth Israel Deaconess Medical Center from 2008 to 2019 were analyzed. Machine learning models were developed, and receiver operator characteristic curve (ROC curve) and precision-recall curve (PR curve) were plotted to evaluate the model's effectiveness in predicting four common adverse outcomes: hypoglycemia, hypokalemia, reductions in Glasgow coma scale (GCS), and extended hospital stays. The risk of adverse outcomes was analyzed in relation to the rate of blood glucose decrease. Univariate and multivariate Logistic regression analyses were conducted to examine the relationship between relevant factors and the risk of hypokalemia. Personalized risk interpretation methods and predictive technologies were applied to individualize the analysis of optimal glucose control ranges for patients.Results:The machine learning models demonstrated excellent performance in predicting adverse outcomes in patients with DKA, with areas under the ROC curve (AUROC) and 95% confidence interval (95% CI) for predicting hypoglycemia, hypokalemia, GCS score reduction, and extended hospital stays being 0.826 (0.803-0.849), 0.850 (0.828-0.870), 0.925 (0.903-0.946), and 0.901 (0.883-0.920), respectively. Analysis of the relationship between the rate of blood glucose reduction and the risk of four adverse outcomes showed that a maximum glucose reduction rate > 6.26 mmol·L -1·h -1 significantly increased the risk of hypoglycemia ( P < 0.001); a rate > 2.72 mmol·L -1·h -1 significantly elevated the risk of hypokalemia ( P < 0.001); a rate > 5.53 mmol·L -1·h -1 significantly reduced the risk of GCS score reduction ( P < 0.001); and a rate > 8.03 mmol·L -1·h -1 significantly shortened the length of hospital stay ( P < 0.001). Multivariate Logistic regression analysis indicated significant correlations between maximum bicarbonate levels, blood urea nitrogen levels, and total insulin doses with the risk of hypokalemia (all P < 0.01). In terms of establishing personalized optimal treatment thresholds, assuming optimal glucose reduction thresholds for hypoglycemia, hypokalemia, GCS score reduction, and extended hospital stay were x1, x2, x3, x4, respectively, the recommended glucose reduction rates to minimize the risks of hypokalemia and hypoglycemia should be ≤min{ x1, x2}, while those to reduce GCS score decline and extended hospital stay should be ≥ max{ x3, x4}. When these ranges overlap, i.e., max{ x3, x4} ≤ min{ x1, x2}, this interval was the recommended optimal glucose reduction range. If there was no overlap between these ranges, i.e., max{ x3, x4} > min{ x1, x2}, the treatment strategy should be dynamically adjusted considering individual differences in the risk of various adverse outcomes. Conclusion:The machine learning models shows good performance in predicting adverse outcomes in patients with DKA, assisting in personalized blood glucose management and holding important clinical application prospects.

Objective:To identify XMA09,a broadly neutralizing antibody against severe acute respiratory syndrome coronavi-rus 2(SARS-CoV-2),and to explore the potential mechanism of XMA09 to broadly neutralize variants of SARS-CoV-2,so as to pro-vide a reference for vaccine design and broadly neutralizing antibody screening against SARS-CoV-2.Methods:XMA09 protein was expressed and purified by ExpiCHO expression system and Protein A chromatography column.The key amino acid sites on receptor binding domain(RBD)recognized by XMA09 were identified by Cryo-EM,and the affinity of XMA09 to Spike protein of SARS-CoV-2 and its variants was detected by indirect ELISA and Surface Plasmon Resonance(SPR).The pseudovirus neutralization assay based on vesicular stomatitis virus(VSV)was used to detect the neutralization ability of XMA09 to wild-type and variants of SARS-CoV-2.Results:In this study,it was found that the epitopes recognized by XMA09 were conservative,who has an excellent binding ability to Spike protein of many kinds of variants,and could neutralize the variants of concern(VOCs),including the widespread BA.4/5.Conclusion:XMA09 is a broadly neutralizing antibody,which has the potential to be used as a therapeutic antibody against SARS-CoV-2,and can provide reference for broad-spectrum vaccine design and antibody drug development against SARS-CoV-2.