AIM: To investigate variation patterns of corneal biomechanical parameters and binocular symmetry among children of different genders aged 8-16 years.METHODS:A retrospective study was conducted, and children who underwent optometric examinations at the ophthalmology department of our hospital were enrolled between January 2022 and December 2024. Measurements included the flat keratometry(K1), steep keratometry(K2), and mean curvature(Km)of the anterior corneal surface, horizontal visible iris diameter(HVID), central corneal thickness(CCT), corneal endothelial cell density(CECD), average cell size(ACS), coefficient of variation(CV), and hexagonality(HEX). Corneal parameters and binocular differences were compared between genders and across age groups.RESULTS:A total of 621 children(1 242 eyes)were enrolled in this study, including 284 males(568 eyes), 337 females(674 eyes), 528 children aged 8-12 years(1 056 eyes), and 93 children aged 13-16 years(186 eyes). In children aged 8-16 years, the K1, K2, Km and CV of both eyes, as well as the interocular CCT differences in boys were significantly lower than those in girls(all P<0.05), while the HVID and HEX of both eyes, as well as the CCT of the left eye in boys were significantly higher than those in girls(all P<0.05). Children aged 8-12 years had significantly higher K1, Km, CECD and HEX in both eyes, and significantly lower ACS in both eyes than those aged 13-16 years(all P<0.05). K1, K2, Km, CECD and HEX in both eyes were negatively correlated with age(P<0.05); ACS in both eyes was positively correlated with age(P<0.001); K1 and Km of the right eye were positively correlated with the CECD of the right eye(P<0.05), and K1 and CCT of the left eye were positively correlated with the CECD of the left eye(P<0.05).CONCLUSION:Significant gender differences exist in corneal parameters among children aged 8 to 16 years, while binocular symmetry remained stable.

Background Lead is a typical persistent environmental pollutant that can accumulate in bones for decades. During pregnancy, alterations in calcium metabolism promote the mobilization of bone lead, resulting in secondary exposure; however, the mechanisms by which pregnancy-associated bone lead mobilization affects maternal renal function remain unclear. Objective To investigate the role of mitochondrial dysfunction in pregnancy-related bone lead mobilization-induced renal injury. Methods Newly weaned female Wistar rats were randomly assigned to a control or a lead-exposed group administered either 0.05% sodium acetate or 0.05% lead acetate in drinking water. Following a 4-week lead exposure and a 4-week washout period, the females were co-housed with healthy age-matched males for mating. Rats were sacrificed at early (gestational day 3) and late (gestational day 17) pregnancystages, respectively. Renal histopathology was assessed using hematoxylin and eosin staining staining. Mitochondria-related indicators, including oxidative stress, inflammatory responses, and energy metabolism, were measured. Differential metabolites were identified using serum metabolomics. Results Renal injury in the lead-exposed pregnant rats progressed in a time-dependent manner, characterized by degeneration of proximal tubular epithelial cells, glomerular hyaline changes, and interstitial inflammatory cell infiltration. Repeated measures ANOVA indicated a significant interaction between the treatment factor (lead exposure) and the temporal factor (gestational stage) on renal injury (P<0.001). Further analysis of mitochondrial function-related indicators in late-pregnancy renal tissue revealed that the lead exposure group exhibited significantly increased levels of malondialdehyde (MDA) and reactive oxygen species (ROS) (P<0.05), accompanied by a reduction in superoxide dismutase (SOD) and reduced glutathione (GSH) activities (P<0.05); regarding inflammatory markers, levels of interleukin-18 (IL-18) and interleukin-1β (IL-1β) were elevated (P<0.01), whereas interleukin-33 (IL-33) was decreased in the lead-exposed group (P<0.05); energy metabolism-related indicators, including adenosine triphosphate (ATP) level, Na⁺-K⁺-ATPase and Ca²⁺-Mg²⁺-ATPase activities, and mitochondrial respiratory chain complexes I, III, and V activities, were significantly reduced (P<0.05) in the lead-exposed gorup. The typical differential metabolite N-methylisoleucine, identified through serum metabolomics analysis, was negatively correlated with blood lead levels, kidney injury scores, and IL-1β, while positively correlated with catalase (CAT) activity and Ca²⁺-Mg²⁺-ATPase. Conclusions Mitochondrial dysfunction may play a critical role in renal injury induced by bone lead mobilization during late gestation.

Background Long working hours, as a common risk factor for occupational stress, is closely related to the occurrence of depressive symptoms. Understanding how long working hours affect occupational stress and depressive symptoms will inform occupational health interventions. Objective To quantify the impact of long working hours exposure on occupational stress and depressive symptoms among Internet industry employees, translate black-box outputs into actionable insights, and demonstrate the value of interpretable machine learning for early-warning occupational-health surveillance. Methods A dataset was derived from a cross-sectional survey involving 2866 internet industry employees in China. This survey was part of the project Risk Assessment Of Long Working Hour Exposure And Its Adverse Health Effects, conducted by the National Institute for Occupational Health and Poisoning Control, Chinese Center for Disease Control and Prevention, from 2021 to 2023. Working hours, occupational stress and depressive symptoms were quantified with a set of structured questionnaires including the Core Occupational Stress Scale and the Patient Health Questionnaire. Pairwise associations were screened by Mantel tests and variance-inflation factors. Key predictors identified through feature selection were fed into six machine-learning risk-prediction models. Visual interpretation was provided by feature importance, Shapley additive explanations (SHAP) and local interpretable model-agnostic explanations (LIME), while directed causal effects and intervention impacts of prolonged working hours exposure on occupational stress and depressive symptoms were dissected with causal explanation of features techniques. Results The positive rates of occupational stress and depressive symptoms among internet employees were 12.9% and 77.8% respectively. Twelve core features for occupational stress and nine for depressive symptoms were retained after selection. After these features were supplied to six predictive algorithms and evaluated on five metrics, the Light Gradient Boosting Machine (LGBM) achieved the highest accuracy—0.89 for occupational stress and 0.79 for depressive symptoms on the hold-out test set. The feature-importance rankings converged on fatigue accumulation and life satisfaction as dominant drivers for both outcomes, whereas weekly working hours and daily overtime emerged as the principal exposure-related predictors. The SHAP summary plots revealed that longer weekly hours and daily overtime systematically elevated the probability of occupational stress. The causal feature explanation further quantified that ascending one category in weekly working hours increased the probability of occupational stress by 7.04%. Conclusion Exposure to long working hours is associated with both occupational stress and depressive symptoms among internet industry employees. Interpretable machine-learning frameworks translate these associations into transparent, defensible drivers, enabling precise identification of the pivotal factors and their interplay. This evidence base equips occupational-health practitioners with actionable insights for designing targeted prevention and intervention strategies.

BACKGROUND:Magnetic resonance imaging is the gold standard for the diagnosis of osteonecrosis of femoral head,and previous methods of predicting osteonecrosis of femoral head collapse based on magnetic resonance images mostly require the combined assessment of coronal and sagittal images.However,osteonecrosis of femoral head tends to occur bilaterally,most hospitals perform bilateral hip magnetic resonance imaging scans during clinical examinations,but the bilateral hip scans can only view coronal and cross-sectional images,and it is difficult to obtain sagittal images,which affects the assessment of the risk of collapse.Therefore,it is of clinical value to establish a method to assess the risk of early osteonecrosis of femoral head collapse by applying the images that can be obtained after bilateral hip magnetic resonance scanning. OBJECTIVE:To establish a method of applying coronal and cross-sectional images of bilateral hip magnetic resonance imaging to assess the risk of osteonecrosis of femoral head collapse. METHODS:The medical records of 111 patients(181 hips)with early-stage osteonecrosis of femoral head diagnosed at the outpatient clinic of Honghui Hospital Affiliated to Xi'an Jiaotong University from October 2017 to October 2019 were retrospectively analyzed.They were categorized into collapsed and non-collapsed groups according to the femoral head collapse at the final follow-up,with 69 hips in the collapsed group and 112 hips in the non-collapsed group.The angle of necrotic range on the images of median coronal plane,transverse plane or one level above and below it was measured on the magnetic resonance imaging system.The sum of the two angles of necrotic angle on the coronal and transverse planes was used as the combined necrotic angle.The average of the three combined necrotic angles of each hip was taken to get the average combined necrotic angle of each hip.Finally,the correlation between the three combined necrotic angles and the average combined necrotic angle with the collapse of osteonecrosis of femoral head was analyzed,and the specificity and sensitivity of the four combined necrotic angles in predicting collapse were evaluated by using receiver operating characteristic curves. RESULTS AND CONCLUSION:(1)Totally 69 hips(38.1%)had femoral head collapse at the last follow-up and were included in the collapsed group;112 hips(61.9%)did not have progression of collapse and were included in the non-collapsed group.(2)The difference between the collapsed group and the non-collapsed group in terms of Association Research Circulation Osseous(ARCO)stage was significant(P<0.001).The difference in age,body mass index,follow-up time,gender distribution,side of onset,and causative factors was not significant(P>0.05).(3)The results of independent samples t-test suggested that all four combined necrotic angles were significantly correlated with collapse(P<0.000 1);and the differences in combined necrotic angles between the collapsed group and the non-collapsed group of ARCO stage I and the two groups of ARCO stage II were all significant(P<0.000 1).(4)In the analysis of the receiver operating characteristic,the area under the curve of the average combined necrotic angle was greater than that of the combined necrotic angle on the lower level of the median,the middle level,and the upper level of the median.(5)The average combined necrotic angle had a higher accuracy in the prediction of collapse than the lower level of the median,the middle level,and the upper level of the combined necrotic angle.(6)It is concluded that the accuracy of the average combined necrotic angle in predicting the risk of osteonecrosis of femoral head collapse is higher,and the clinical practicability is stronger,so we can consider using this method to predict the risk of osteonecrosis of femoral head collapse.

Objective:To explore the effects of IFN-γ on IL-8 secretion by human liver cancer cells and the impact on their malignant biological functions in vitro. Methods:HuH7 and Hep3B cells were treated with different concentrations of IFN-γ for 24 or 48 h. Changes in the cellular activity, IL-8 secretion, and the proportion of CD133 + liver cancer stem cells were evaluated using CCK8 kit and flow cytometry. Western blot was used to detect the effects of IFN-γ on the expression of several molecules such as phosphorylated protein kinase B (p-Akt), phosphorylated c-Jun N-terminal kinase (p-JNK), vimentin, and E-cadherin in the liver cancer cells. Effects of IFN-γ with or without IL-8 on the migration of liver cancer cells were detected by transwell assay. Additionally, effects of IFN-γ combined with IL-8 or IL-8 receptor inhibitor repertaxin on the differentiation of liver cancer stem cells were detected by flow cytometry. One-way analysis of variance and Tukey-Kramer test were used for statistical analysis. Results:HuH7 and Hep3B cells secreted significantly higher levels of IL-8 than normal hepatocytes LO2 ( P<0.01) and high expression level of IL-8 gene ( CXCL8) was closely correlated with the expression levels of vimentin gene ( VIMENTIN), CD133 gene ( PRCM1), PD-L1 gene ( CD274), PD-1 gene ( PDCD1), and CD163 gene ( CD163), as well as the poor prognosis of liver cancer patients ( P<0.01). IFN-γ (1-100 ng/ml) had no significant effect on the proliferative activity of HuH7 and Hep3B cells ( P>0.05), but could significantly inhibit IL-8 secretion, cell migration, CD133 + liver cancer stem cell differentiation and suspension tumor sphere formation through the Akt and JNK pathways ( P<0.01). IFN-γ combined with IL-8 could significantly reversed the inhibitory effects of IFN-γ on liver cancer cell migration, stem cell differentiation, and suspension tumor sphere formation ( P<0.01). IFN-γ in combination with repertaxin could synergistically inhibited the differentiation of CD133 + liver cancer stem cells ( P<0.01). Conclusion:IFN-γ inhibits the differentiation and migration of human liver cancer cells through the Akt/JNK-IL-8 signaling pathway, providing a new strategy for future clinical immunotherapy of liver cancer.

Objective:To determine the epidemiological characteristics of human bocavirus (HBoV) in children with acute respiratory infections (ARI) in Bengbu City, Anhui Province, in 2024.Methods:Nasopharyngeal swab samples were collected from 269 children with ARI in Bengbu City, Anhui Province, in 2024. Seventeen respiratory pathogens were screened using quantitative fluorescence PCR. For HBoV-positive samples, the VP1/VP2 structural gene fragments of HBoV were amplified and sequenced for genetic evolutionary analysis.Results:Among the 269 nasopharyngeal swab samples from children with ARI, the overall detection rate of respiratory pathogens was 48.33% (103/269). The top three pathogens with the highest detection rates were: Influenza A virus (FluA): 10.04% (27/269), Respiratory syncytial virus (RSV): 8.18% (22/269), Human bocavirus (HBoV): 7.43% (20/269). The age distribution of HBoV-infected children showed that the detection rate was highest in the 0-2 years age group (50%, 10/20), followed by the 3-5 years age group (25%, 5/20) and the over 6 years age group (25%, 5/20). However, there was no statistically significant difference in viral detection rates among the age groups. Genetic evolutionary analysis based on VP1/VP2 revealed that all 13 HBoV strains were of the HBoV-1 genotype.Conclusions:HBoV is one of the major pathogens causing ARI in children in Bengbu City, Anhui Province, in 2024, with HBoV-1 being the predominant genotype. Additionally, infants aged 0-2 years are the most susceptible population to HBoV infection.

Objective To investigate biological markers associated with psychotic symptoms in patients with bipolar disorder(BD)based on electronic medical records of patients,and to develop an interpretable risk prediction model that supports the identification of high-risk individuals and that facilitates decision-making for providing clinical intervention in a timely manner.Methods A total of 2 352 patients diagnosed with BD and admitted to West China Hospital,Sichuan University were enrolled using the electronic medical records system of the hospital.The participants were divided into two subgroups,the bipolar disorder depression(BDD)group and the bipolar disorder mania(BDM)group.The logistic regression algorithm was used to train and validate the prediction model,and interpretability methods were used to analyze the contribution of each feature to individuals and the effect of the features on specific target prediction decisions.Results The logistic regression model demonstrated robust predictive performance across the BD,BDD,and BDM cohorts,with areas under the curve(AUC)of the receiver operating characteristic curves always exceeding 81.6%.The core predictive features included platelet distribution width(PDW),fibrinogen(FIB),platelet large cell ratio(P-LCR),activated partial thromboplastin time(APTT),prothrombin time(PT),and triglyceride(TG).The logistic regression model exhibited strong interpretability and was combined with nomograms for intuitive risk quantification and individualized prediction.Conclusion The logistic regression model enables rapid and simple screening of BD patients with psychotic symptoms.Distinct patterns of changes observed in blood biomarkers of BDD and BDM subgroups enrich the understanding of the underlying pathophysiological mechanisms and highlight the importance of considering subtypes in the intervention and management of patients.

Objective:To investigate the mechanism of improving liver injury by enhancing the abundance of Akkermansia mu-ciniphila(AKK bacteria)with hepatocyte-specific Yap1 knockout during PD-1 monoclonal antibody treatment.Methods:Hepatocyte-specific Yap1 knockout mice(genotype Yap1Flox/Flox;albumin-Cre,labeled as Yap1LKO)and control mice(genotype Yap1Flox/Flox,labeled Yap1Flox),aristolocholic acidⅠ(AAⅠ)and CCl4 were used to induce liver injury,Yap1LKO mice and Yap1Flox mice were randomly di-vided into control group and PD-1 monoclonal antibody group.After the intervention,real-time PCR detected changes in the abun-dance of AKK bacteria in the fecal microbial DNA of mice,16S rRNA gene sequencing further analyzes intestinal flora changes,the livers of mice were made into wax blocks for HE staining to observe the histopathological changes of the liver.Results:Yap1Flox mice exhibited balloon-like edema degeneration of hepatocytes and infiltration of inflammatory factors in the manifold area,compared with Yap1Flox mice,Yap1LKO mice had reduced the abundance of AKK bacteria in the intestine,fibrosis of the liver,and the degree of dam-age was more serious;PD-1 monoclonal antibody treatment alone did not increase the abundance of AKK bacteria in the intestines of mice,and fibrosis appeared in the liver;however,the abundance of intestinal AKK bacteria in Yap1LKO mice treated with PD-1 mono-clonal antibody increased,the ratio(F/B value)of Firmicutes to Bacteroides at the phylum level decreased,and the morphology of he-patocytes returned to normal and the degree of liver damage decreased.Conclusion:In AAⅠ and CCl4 induced liver injury mice,he-patocyte-specific Yap1 knockout reduced the abundance of AKK bacteria in the intestine,and the degree of liver injury was more se-vere than that in Yap1Flox mice.When treated with PD-1 monoclonal antibody,hepatocyte-specific Yap1 knockout could increase the abundance of AKK bacteria in the intestine,change the composition of intestinal flora,maintain intestinal homeostasis and ameliorate liver injury.

Objective To develop a rapid and accurate ultra-performance liquid chromatography tandem mass spectrometry(UPLC-MS/MS)method for the detection of etomidate,metomidate,propoxate,and isopropoxate in human hair.Methods Hair samples containing etomidate,metomidate,propoxate,and isopropoxate were extracted with methanol containing the internal standard orthoxine,filtered with a 0.22 μm organic filter membrane and detected vio UPLC-MS/MS.All components were separated by using a gradient elution procedure consisting of 0.01％formic acid(1 mmol/L ammonium acetate)and acetonitrile.Positive electrospray ionization was performed using multiple reaction monitoring(MRM)mode.Results The linear relationships of etomidate,metomidate,propoxate,and isopropoxate were good in the range of 0.01～1 ng/mg(r ≥ 0.997 9),with recovery rates ranging from 87.9％to 101.5％.The accuracy was between 80.0％and 110.0％.The intra-day and inter-day relative standard deviations(RSD)were 2.9％～9.6％and 3.6％～19.9％.Conclusion This method is easy to operate and has high recovery efficiencies.It is sufficiently simple and sensitive to be applied to detect etomidate,metomidate,propoxate,and isopropoxate in hair.

Objective To screen the anti-Streptococcus pneumoniae(Spn)active ingredients in vitro from different po-lar parts of Pilea peltata,and to examine the combined antibacterial effect of the active ingredient and amoxicillin(AMX).Methods A 96-well plate microdilution method was used to determine the minimum inhibitory concentration(MIC)of different polar parts;the most active polar part was separated by preparative high-performance liquid chromatography,and the active ingre-dients were identified using spectral technology.The fractional inhibitory concentration(FIC)of active ingredients and AMX was determined by the 96-well plate chessboard microdilution method.The crystal violet method was used to investigate the effect of ac-tive ingredients on Spn biofilm.The effect of active ingredients on the appearance and morphology of Spn was investigated under the electron microscope.Results The MICs of the petroleum ether part,chloroform part,ethyl acetate part,n-butanol part,and water part were 1.000,1.000,0.500,1.000,and 2.000 mg·mL-1 respectively,among which the ethyl acetate part had the stron-gest antibacterial activity.Three compounds were isolated from ethyl acetate,namely 5,7,3',4'-tetramethoxyflavone 1,8-O-(p-coumaroyl)-1(10)E,4(5)E-humuladien-8-ol 2 and 1-O-p-coumaroyl copaborneol 3.These compounds were all isolated for the first time from Pilea peltate,their MICs against Spn were 200.000,50.000,and 25.000 μg·mL-1 respectively,and the compound 3 had the strongest antibacterial activity;the FIC value of AMX and compound 3 was 0.50,which had a synergistic antibacterial effect on Spn.Both AMX and compound 3 had inhibitory effects on Spn biofilm,but the biofilm inhibition rate of compound 3(59.10±1.04％)was significantly lower than AMX(87.38±0.84)％(P＜0.01);Moreover,there was no significant difference in biofilm inhibition rate between the combination of the two and AMX(P＞0.05).The scanning electron microscope results showed that the bacterial cells in the compound 3 group had a smooth surface but varying degrees of depression.The surface of the bacteri-al cells in the AMX group and the AMX combined compound 3 group showed severe swelling and rupture.Conclusions Fla-vonoids and sesquiterpenoids are both the anti-Spn active components of Pilea peltate.Among them,sesquiterpenoids have more potent antibacterial activity,and their antibacterial action mechanism is related to inhibiting bacterial biofilms.Compound 3 and AMX have a synergistic antibacterial effect on Spn,but its mechanism of action is not by enhancing biofilm inhibition;although compound 3 cannot destroy the cell wall of Spn,it still has a negative impact on the appearance of the bacteria.