Compared to other refractive surgeries, the implantable collamer lens(ICL)implantation procedure has become one of the most popular surgical options in refractive surgery. ICL surgery offers advantages such as reversibility, high-definition visual outcomes, and preservation of the corneal anatomical structure. The V4c model, which features a central port, is currently the most widely used in clinical practice and eliminates the need for peripheral iridotomy during the perioperative period. Although excellent uncorrected visual acuity can be achieved postoperatively, some patients may experience visual disturbances in the early postoperative period, such as halo and glare, which may affect visual comfort particularly under low-light conditions. This article reviews visual quality metrics after ICL V4c implantation, including higher-order aberrations(HOA), modulation transfer function(MTF), and contrast sensitivity(CS), along with influencing factors, and discusses potential relative deficits in postoperative visual quality and their underlying mechanisms.

BackgroundIn recent years， the incidence of depression among adolescents has been increasing steadily， posing a serious threat to their physical and mental health and even leading to severe consequences such as self-harm and suicide. At the same time， the detection rate of subclinical depression symptoms among adolescents is even higher. Although these symptoms do not meet the clinical diagnostic criteria， they have significantly affected their quality of life， and their persistence over time may further develop into depression. Therefore， in-depth exploration of adolescent depression symptoms and the predictive factors holds significant practical significance and research value. However， up to now， no large-scale investigation and research on depression symptoms among children and adolescents has been conducted in Inner Mongolia Autonomous Region. ObjectiveTo understand the prevalence of depressive symptoms among children and adolescents in Inner Mongolia Autonomous Region， in order to provide references for formulating scientific and effective prevention strategies and intervention measures. MethodsBy using the cluster stratified random sampling method， 6 281 students from the third grade of primary school to the second grade of high school in 12 leagues and cities of Inner Mongolia Autonomous Region were selected in March 2024. A self-designed questionnaire and the Self-rating Depression Scale （SDS） were used for on-site investigation. ResultsA total of 6 058 （96.45%） children and adolescents completed the valid questionnaire survey， and 2 728 cases （45.03%） were found to have depressive symptoms. There were statistically significant differences in the detection rates of depressive symptoms among children and adolescents of different genders， ages， whether they were only children， different family types， family monthly income， parents' educational levels， and whether the mother was employed （χ²=33.769， 40.618， 48.593， 29.972， 142.648， 195.999， 168.190， 5.445， P<0.05 or 0.01）.The results of the Logistic regression analysis showed that for children and adolescents， being female， aged between 12 and 16， over 16 years old， not being an only child， living in a reconstituted family， having a monthly family income of less than 5 000 yuan， and having parents with an education level of primary school or below were predictors of depressive symptoms （OR=1.241， 1.427， 1.273， 1.177， 1.549， 1.278， 1.462， 1.417， 1.514， 1.929， 1.660， 1.528， P<0.05 or 0.01）. ConclusionThe detection rate of depressive symptoms among children and adolescents in Inner Mongolia Autonomous Region is relatively high. Factors that may predict depressive symptoms in children and adolescents include female gender， ages between 12 and 16， ages over 16 years old， non-only children， families with a restructured structure， monthly family income of less than 5 000 yuan， and parents with an education level of primary school or below. ［Funded by Science and Technology Planning Project of the Inner Mongolia Autonomous Region （number， 2022YFSH0119）］

Background Ozone (O₃) is a major air pollutant. The existing monitoring system has uneven distribution of sites, insufficient coverage in underdeveloped areas, and low temporal resolution, making it difficult to obtain hourly data. This limits the dynamic identification of pollution and the formulation of prevention and control strategies. Objective To construct an hourly O₃ concentration estimation model based on ensemble machine learning, aiming to improve the accuracy of pollution exposure assessment and explore O₃ health impacts. Methods This study integrated land use regression modeling with modern machine learning techniques, employing random forest and XGBoost algorithms to construct base models, and stacking integration using non-negative least squares. The ensemble model was trained and validated across China using high-resolution, multi-source geographic data (e.g., meteorologicaldata, population density, land cover types, and aerosol optical thickness). It was tested in Taiyuan City, combined with a distributed lag non-linear model to analyze the association between O₃ and emergency admissions. Results The constructed ensemble model performed well in predicting O₃ concentration, with a higher coefficient of determination (R²) and a lower root-mean-square deviation (RMSE) compared to the single models. The R² improved from 0.90 to 0.92, and the RMSE decreased from 11.41 to 10.62, enhancing both prediction accuracy and generalization ability. In the application to Taiyuan City, the model successfully imputed the hourly-level data for the entire year. The distributed lag non-linear model analysis revealed that the relative risk (RR) values for the 6th to 8th days following O₃ exposure were 1.14 (95%CI: 1.01, 1.29), 1.16 (95%CI: 1.02, 1.31), and 1.14 (95%CI: 1.01, 1.29), respectively, which were significantly higher than 1, indicating a significant lagged association (lagged 6-8 d) between O₃ and the number of emergency room visits. Conclusion A high-precision, hourly-level O₃ concentration estimation model is successfully constructed by combining the land use regression model with an ensemble machine learning approach to provide a scientific basis for environmental policy formulation and public health intervention. The application of the model verifies its generalization ability and practical application value, which can provide a new technical framework for subsequent environmental health research.

Background Silicosis, an occupational lung disease induced by chronic silica (SiO₂) exposure, is pathologically defined by progressive pulmonary fibrosis, and its associated molecular mechanisms are not yet fully elucidated. Objective To understand the critical role of macrophage-derived vesicles in silicotic pulmonary fibrosis via their carried complement component 1r (C1R). Methods Through integrated analysis of human plasma vesicle proteomics and spatial transcriptomics in silicosis mouse models, the key molecular C1R was identified in silicotic fibrosis. Spatial transcriptomic data were further employed to analyze the expression distribution of C1R in lung tissues. In animal experiments, a mouse silicosis model was established via tracheal instillation of silica dust, followed by pulmonary fibrosis assessed by Sirius Red staining, and C1R expression levels in plasma and lung tissue vesicles examined by Western blot. In cellular experiments, an in vitro model was constructed by stimulating macrophages with silica. Extracellular vesicles isolated from this system were then co-cultured with mouse lung fibroblasts (MLG),followed by intervention with a C1R-neutralizing antibody. Results The proteomic analysis of human plasma vesicles revealed a significant upregulation of C1R in silicosis patients, confirmed by Western blot. The spatial transcriptomics in silicotic mice indicated elevated C1R expression in lung tissues after 56 d of SiO₂ exposure, colocalizing with fibrotic lesions. The results of Western blot further demonstrated increased C1R levels in both lung tissue-derived and peripheral blood-derived vesicles during silicosis progression, consistent with the findings in an ex vivo macrophage model. The results of functional assays demonstrated that macrophage-derived vesicles significantly increased the expression of fibrosis markers, including fibronectin 1 (FN1), collagen type I alpha 1 (COL1A1), and alpha-smooth muscle actin (α-SMA), as well as the migratory capacity of lung fibroblasts; these effects were blocked by the C1R-neutralizing antibody. Conclusion Macrophage vesicles drive fibroblast activation and migration through C1R. Since a C1R-neutralizing antibody blocks this pro-fibrotic effect, C1R represents a key mediator in silicosis and thus is considered a new potential therapeutic target.

OBJECTIVE To improve the inventory turnover rate of traditional Chinese medicine （TCM） decoction pieces in hospitals and achieve refined inventory management for cost reduction and efficiency improvement. METHODS Inventory data of TCM decoction pieces in our hospital from 2022 to 2023 were collected. Based on the sale amount and demand coefficient of variation respectively， the ABC classification method and XYZ analysis method were adopted for classification. The two classification results were combined through a cross matrix to divide them into three-level management priorities： level Ⅰ （AX， AY， BX）， level Ⅱ （AZ， BY， CX）， and level Ⅲ （BZ， CY， CZ）. Differentiated inventory strategies were formulated for each level， and core indicators such as turnover rate and inventory cost before and after inventory management optimization were compared. RESULTS There were 58 types （14.22%） in level Ⅰ， 85 types （20.83%） in level Ⅱ， and 265 types （64.95%） in level Ⅲ. After inventory management optimization， the average inventory value of TCM decoction pieces decreased by 341 800 yuan， the average turnover rate increased by 73.03%， and the average turnover days decreased by 4.98 days. The differences in all indicators before and after optimization were statistically significant （ P ＜0.01）. CONCLUSIONS The ABC-XYZ analysis method can break through the single-dimensional limitation of the traditional ABC classification method， adapt to characteristics such as the strong seasonality of TCM decoction pieces， significantly optimize the inventory structure， improve turnover efficiency， and reduce operating costs. It provides a feasible plan for the refined and scientific management of hospital TCM warehouses.

OBJECTIVE To explore the antidepressant mechanism of Wenyang jieyu granules （WYJYG） via the NOD-like receptor thermal protein domain associated protein 3 （NLRP3）/apoptosis-associated speck-like protein containing a CARD （ASC）/Caspase-1 pathway. METHODS A rat model of depression was established by chronic unpredictable mild stress combined with single-housing for 42 consecutive days.The experiment set up blank group， model group， MCC950 （NLRP3 inflammasome inhibitor） group （10 mg/kg）， fluoxetine group （positive control，2.08 mg/kg），low-dose WYJYG（3.78 g/kg） and high-dose WYJYG group （7.56 g/kg），with 10 rats in each group. From the 22nd day of the experiment， rats in the fluoxetine group， low-dose and high-dose WYJYG groups were intragastrically administered with the corresponding drugs and intraperitoneally injected with an equal volume of normal saline. Rats in the MCC950 group were intraperitoneally injected with MCC950 at the corresponding concentration and intragastrically administered with an equal volume of distilled water. Rats in the blank group and model group were given an equal volume of distilled water by gavage and an equal volume of normal saline by intraperitoneal injection. All interventions were performed once a day for 21 consecutive days. Behavioral tests were conducted once a week. After the last administration， the contents of ASC， ionized calcium binding adaptor molecule 1 （Iba1）， interleukin-1β （IL-1β）， and IL-18 in hippocampal tissues were detected. The protein expressions of NLRP3， cluster of differentiation 68 （CD68）， Caspase-1， B-cell lymphoma-2 （Bcl-2）， and Bcl-2-associated X protein were determined， and neuronal apoptosis was observed. RESULTS After the last administration， compared with the model group， the open-field activity time was significantly prolonged （ P ＜0.05）， and the latency to feed in a novel environment was significantly shortened （ P ＜0.05） in rats of the high-dose WYJYG group. In hippocampal tissue， the contents of ASC， Iba1， IL-1β， and IL-18， as well as the protein expression levels of NLRP3， Caspase-1， and CD68， and the positive rate of neuronal apoptosis were all significantly decreased/downregulated （ P ＜0.05）. Bcl-2 protein expression was significantly upregulated （ P ＜0.05）， and the density of neuronal apoptosis-positive cells was significantly reduced （ P ＜0.05）. CONCLUSIONS WYJYG play on antidepressant role by inhibiting the NLRP3/ASC/Caspase-1 pathway， reducing microglia-mediated neuroinflammation， and inhibiting hippocampal neurons apoptosis.

Objective This study examined the association between smoking and cognitive decline through a cohort in rural population in Xi'an.Methods Data were collected from the cognitive impairment cohort of middle-aged and elderly people in rural areas of Xi'an.The cohort selected the population aged 40 years and above in rural Xi'an.The baseline survey was completed between October 2014 and March 2015,and two follow-up visits were conducted in 2016 and 2018.This study took the baseline cognitively normal population of this cohort as the research subjects.According to the survey results in 2018,the population was divided into three groups according to smoking status:smoking,quitting and non-smoking.Cognitive function was assessed by Mini-Mental State Examination(MMSE).△MMSE(2014 rating-2018 rating)≥2 was defined as cognitive decline,and △MMSE＜2 was defined as cognitive stability.Binary Logistic regression model and stratified analysis were used to analyze the relationship between smoking and cognitive decline and the influence of age on the relationship.Results A total of 1 289 subjects were included in this study.According to smoking status in 2018,they were divided into non-smokers(910,70.6％),smokers(335,26.0％),and ex-smokers(44,3.4％).In the total population,there was no significant difference in the incidence of cognitive decline among non-smokers,smokers and ex-smokers(17.3％vs.16.1％vs.15.9％,P=0.880).When stratified by age,there was no significant difference in the incidence of cognitive decline among the three groups in the subgroup of age＜65 years(16.5％vs.13.2％vs.12.1％,P=0.365).In the subgroup of age≥65 years,no significant difference was found in the incidence of cognitive decline among non-smokers,smokers and ex-smokers(20.8％vs.30.9％vs.27.3％,P=0.306).After adjusting for confounding factors,smokers had a significantly higher risk of cognitive decline than non-smokers(OR=14.139;95％CI:1.541-129.705;P=0.019).There was a trend of cognitive decline in the ex-smokers group,but with no statistical significance(OR=8.252;95％CI:0.630-108.175;P=0.108).Conclusion Smoking is positively associated with cognitive decline in the elderly,suggesting that smoking may accelerate cognitive decline in this population.

Objective To investigate the expression and clinical significance of serum cystatin SA(Cystatin SA)and long non-coding RNA(lncRNA)promoter of CDKN1A antisense DNA damage activated RNA(PANDAR)in patients with type 2 dia-betic kidney disease(T2DN).Method A total of 142 patients with type 2 diabetes mellitus(T2DM)admitted to Shanghai Jiao Tong University School of Medicine Suzhou Jiulong Hospital from February 2021 to October 2023 were selected.According to whether they had nephropathy,they were divided into T2DN group(n=82)and non-T2DN group(n=60).60 healthy people who underwent physical examination during the same period were used as the control group.Serum Cystatin SA levels were detected by enzyme-linked immunosorbent assay(ELISA).Serum lncRNA PANDAR level was detected by real-time fluorescence quanti-tative PCR.Pearson correlation analysis was used to analyze the correlation between serum Cystatin SA,lncRNA PANDAR and clinical parameters in T2DN patients.Logistic regression analysis was used to analyze the influencing factors of T2 DN.The re-ceiver operating characteristic(ROC)curve was used to analyze the value of serum Cystatin SA and lncRNA PANDAR in the evaluation of T2DN.Results Serum Cystatin SA(236.28±44.63 ng/L)and serum lncRNA PANDAR(3.21±0.34)in the T2DM group were higher than those in the control group(91.25±22.33 ng/L,1.06±0.23),and the differences were statistically significant(t=23.127,42.379,all P<0.001).Serum Cystatin SA(275.08±46.83 ng/L)and lncRNA PANDAR(3.64±0.38)in T2DN group were higher than those in non-T2DN group(183.25±40.88 ng/L,2.62±0.30),and the differences were statistically significant(t=12.169,17.226,all P<0.001).Serum Cystatin SA and lncRNA PANDAR in T2DN patients were positively correlat-ed with diabetes duration,serum creatinine(sCr),blood urea nitrogen(BUN)and UACR(r=0.562～0.750,all P<0.001),and neg-atively correlated with eGFR(r=-0.656,-0.634,all P<0.001).Serum Cystatin SA,lncRNA PANDAR,duration of diabetes,UACR,sCr were risk factors for T2DN,eGFR was a protective factor(Wald χ2=4.257～12.360,all P<0.001).The area under the curve(AUC)of serum Cystatin SA combined with lncRNA PANDAR in predicting T2DN was 0.920(0.899～0.960),which was greater than that of single index[0.847(0.791～0.887),0.851(0.803～0.896)],and the differences were statistically significant(Z=4.522,4.319,all P<0.05).Conclusion Serum Cystatin SA and lncRNA PANDAR are elevated in patients with T2DN,which are related to renal function indexes and are risk factors affecting the occurrence of T2DN.The combination of the two can effec-tively evaluate the occurrence of T2DN.

There are differences in the images of the same visual object projected onto the retinas of the two eyes.Stereopsis is the perceptual ability of the brain to discern three-dimensional depth from these two-dimensional images with binocular disparities,enabling humans to accurately perceive the relative distance between objects and assess their relative depth in space.Panum's fusional area(PFA)encompasses the depth range,including the horopter where the visual object lies and the areas in front of and behind it,within which fused single vision can be achieved.Visual function within the PFA is closely related to the formation of depth perception.The monocular visual direction,the depth of the binocular horopter position,and the measurement methods and models for the theoretical horopter and empirical horopter are all closely asso-ciated with the characteristics of depth perception within the PFA range.This holds significant importance for studying the construction process of stereopsis.

Objective To explore the correlation between autoimmune diseases and adverse pregnancy outcomes and establish a pre-dictive model.Methods A retrospective analysis was conducted on 250 cases of pregnancy complicated with autoimmune diseases in the Obstetrics Department of the Second Affiliated Hospital of Kunming Medical University from September 2022 to September 2024.The pa-tients were grouped according to their pregnancy outcomes,including 117 cases in the good pregnancy outcome group and 133 cases in the poor pregnancy outcome group.The related factors of adverse pregnancy outcomes in patients with pregnancy complicated with autoimmune diseases were analyzed.And construct the nomogram prediction model.Results High body mass index,positive anti-Sjogren's syn-drome antigen B antibody,preeclampsia,high leukocyte and D-dimer were independent risk factors for adverse pregnancy outcomes.Based on the analysis results,the nomogram prediction model for the risk of adverse pregnancy outcomes in pregnant patients with autoim-mune diseases has a certain degree of differentiation.Conclusion There is a high probability of adverse pregnancy outcomes in pregnant patients with autoimmune diseases,among which BMI,positive anti-SSB,preeclampsia,white blood cell level and D-dimer level of patients are correlated.Based on the analysis results,the prediction model based on the histogram can evaluate the probability of adverse pregnancy outcomes to a certain extent.