AIM: To explore the clinical therapeutic effect of teprotumumab combined with glucocorticoid pulse therapy for thyroid-associated ophthalmopathy(TAO), and its impacts on thyroid function, levels of inflammatory factors, and adverse reactions in patients. METHODS: Active TAO patients admitted to the Ophthalmology Department were enrolled and randomly divide into the steroid group and the combined group. Then the steroid group was treated with glucocorticoid pulse therapy, while the combined group was combined with intravenous infusion of teprotumumab on the basis of the steroid group. The clinical therapeutic effect, the CAS, OSDI, M-C-TAO-QOL scores, ocular sign indicators(fissure width, proptosis), levels of inflammatory factors(TNF-α, CRP, IL-17), thyroid function(TSH, FT3, FT4)before and after treatment, and occurrence of adverse reactions were compared between two groups.RESULTS:Totally 96 TAO patients(192 eyes)were included, with 48 cases(96 eyes)in each group. In the combined group, there were 17 males and 31 females, with an average age of 51.85±3.53 y; in the steroid group, there were 14 males and 34 females, with an average age of 51.26±3.84 y. The total effective rate of the combined group(94%)was higher than that of the steroid group(79%)(P<0.05). After treatment, the CAS score, OSDI score, fissure width, proptosis, levels of TNF-α, CRP, and IL-17 in the combined group were all lower than those in the steroid group, and the M-C-TAO-QOL score was higher than that in the steroid group(P<0.05). However, there was no difference in thyroid function indicators and adverse reactions between two groups after treatment(P>0.05). CONCLUSION: The combination of teprotumumab and glucocorticoid pulse therapy for TAO has a prominent therapeutic effect. Meantime, it can more effectively control ocular inflammation, improve ocular signs and quality of life of patients, and has no obvious adverse effect on thyroid function, with controllable safety.

ObjectiveTo observe the effect of functional pelvic floor muscle training on pelvic floor muscle function, incontinence symptoms and quality of life in female patients with stress urinary incontinence (SUI). MethodsFrom February, 2024 to July, 2025, 40 female patients with SUI were recruited from Beijing Bo'ai Hospital and advertisements. They were randomly divided into control group (n = 20) and experimental group (n = 20). The control group received conventional pelvic floor muscle contraction and relaxation training, and the experimental group received functional pelvic floor muscle contraction and relaxation training, for eight weeks. The data of pelvic floor muscle strength, pelvic floor muscle surface electromyography (sEMG), 1-hour urine pad test and Incontinence Quality of Life questionnaire (I-QOL) were collected before and after training. The compliance rate was counted after training. ResultsOne case dropped down in the control group and three cases dropped down in the experimental group. After treatment, the pelvic floor muscle strength increased in both groups (|Z| > 3.317, P < 0.01), the pre-resting average value, sustained contraction average value and durable contraction average value of sEMG improved in the control group (|t| > 2.731, P < 0.05), the mass of 1-hour urine pad significantly reduced (t > 9.215, P < 0.001) and the I-QOL score significantly increased (|t| > 13.229, P < 0.001) in both groups; compared with the control group, the pelvic floor muscle strength significantly increased (Z = -2.281, P = 0.023), the mass of 1-hour urine pad significantly reduced (t = 4.215, P < 0.001), the I-QOL score significantly increased (t = -4.501, P < 0.001), and the compliance rate significantly increased (Z = -2.798, P < 0.01) in the experimental group . ConclusionFunctional pelvic floor muscle training can significantly improve pelvic floor muscle strength, incontinence symptoms and quality of life in female patients with SUI.

Objective To gain insights into the biological characteristics of different populations of Culex tritaeniorhynchus within and around the Yellow Sea wetland from the perspective of the occurrence of resistance, we investigated the levels of resistance to deltamethrin and kdr gene mutation in the wetland and its peripheral areas. Methods Specimens were collected from Cx. tritaeniorhynchus populations at two monitoring sites in the Rare Bird National Nature Reserve and Tiaozi Ni Wetland Scenic Area, and also from two populations in Yancheng City and the Liuhe District of Nanjing, and the resistance of these mosquitoes to deltamethrin was determined using the CDC biotest bottle method. For each concentration of deltamethrin assessed, a random subset of exposed specimens was selected for amplification of the kdr gene fragment, followed by Sanger sequencing to identify and analyze resistance-associated mutations. Results The LC50 levels of deltamethrin among mosquitoes from the four populations in Luhe, Yancheng, the Rare Bird National Nature Reserve and the Tiaozi Ni Wetland Scenic Area were 2.048 5, 7.798 2, 3.473 3, and 17.695 5 mg/mL, respectively, with corresponding concentrations of deltamethrin ranging from 0.005 to 5.000,0.050 to 50.000,0.050 to 25.000 and 0.050 to 50.000 mg/mL, respectively. Furthermore, the ranges of the KT50 values were 11.76-107.43, 67.05-216.30,29.77-107.43 and 28.40-329.51 min; the 1-h knockdown rates were 34.58%-99.15%, 9.52%-43.80%, 55.09%-73.01%, and 10.09%-68.07%; and the 24-h mortality rates were 12.15%-67.52%,9.52%-79.56%,13.17%-82.21%, and 11.01%-78.99%, respectively. With respect to kdr gene mutation, we assayed a total of 63,70,59, and 57 mosquitoes for the four populations, for which we detected L1014F mutation frequencies of 14.29%, 35.00%, 20.34%, and 31.58%, respectively, with a majority of these mutations being heterozygous for resistance. In addition, five adult mosquitoes were identified has having synonymous mutations at site 1011[i. e. , AAT(asparagine)mutation to AAC(asparagine)]. Conclusions Our findings revealed the clear resistance of Cx. tritaeniorhynchus to deltamethrin in the Yancheng region of the Yellow Sea wetland, and the resistance phenotype and kdr frequency of Cx. tritaeniorhynchus in the wetland environment were comparable to those of Cx. tritaeniorhynchus in the wetland environment, thereby indicating that the resistance of different populations of Cx. tritaeniorhynchus was homogeneous under the pressure of different insecticide selection within and around the wetland. However, the underlying mechanisms need to be further studied.

Objective To establish an analytical strategy covering multi-dataset processing, recursive feature elimination (RFE) screening and multi-model evaluation based on multiple machine learning algorithms, so as to screen radiation-sensitive genes and verify the feasibility of the evaluation strategy. Methods Qualified radiation transcriptome datasets were retrieved from public gene expression databases. Following standardized data preprocessing and feature preselection, 13 machine learning algorithms were adopted to construct models. The performance of each model was compared and validated in independent datasets. Results A total of 38 eligible datasets were included. Sixteen differentially expressed genes unreported in existing literature were screened out, among which ugcrhl, pdcl3, mct4, h2-g2 and fam120aos were correlated with radiation phenotypes. Ensemble learning algorithms including random forest and gradient boosting exhibited the optimal comprehensive performance. Independent dataset verification confirmed that the screened genes overlapped with known radiation-sensitive genes, and the model performance was consistent with the findings. Conclusion The machine learning strategy constructed in this study can effectively explore potential radiation-sensitive genes, and provides methodological support for subsequent relevant studies.

Objective To establish an analytical strategy covering multi-dataset processing, recursive feature elimination (RFE) screening and multi-model evaluation based on multiple machine learning algorithms, so as to screen radiation-sensitive genes and verify the feasibility of the evaluation strategy. Methods Qualified radiation transcriptome datasets were retrieved from public gene expression databases. Following standardized data preprocessing and feature preselection, 13 machine learning algorithms were adopted to construct models. The performance of each model was compared and validated in independent datasets. Results A total of 38 eligible datasets were included. Sixteen differentially expressed genes unreported in existing literature were screened out, among which ugcrhl, pdcl3, mct4, h2-g2 and fam120aos were correlated with radiation phenotypes. Ensemble learning algorithms including random forest and gradient boosting exhibited the optimal comprehensive performance. Independent dataset verification confirmed that the screened genes overlapped with known radiation-sensitive genes, and the model performance was consistent with the findings. Conclusion The machine learning strategy constructed in this study can effectively explore potential radiation-sensitive genes, and provides methodological support for subsequent relevant studies.

ObjectiveTo conduct an epidemiological investigation and analysis of a clustered scabies outbreak in a middle school, so as to provide evidence for developing targeted prevention and control strategies. MethodsCase data on a clustered scabies outbreak occurring in a middle school of Shaanxi Province in 2025 were collected. Field epidemiological approaches were adopted to define cases, search for infected individuals, and describe the temporal, spatial, and population distribution. Specimens were collected from individuals and surrounding environments for laboratory testing. ResultsA total of 25 scabies cases were identified in 4 classes and 9 dormitories of the school. All cases were first-year high school students. The overall attack rate was 6.00% (25/414); the attack rate was 10.53% (22/209) among male students and 1.46% (3/205) among female students. The disease course ranged from 10 to 30 days, with a median duration of 14 days, and 3 students (12.00%) continued attending classes with ongoing infection. Skin scrapings collected from lesion sites of 3 patients were examined under microscopy, all of which were positive for Sarcoptes scabiei; no laboratory testing was performed for the remaining cases. This clustered scabies infection outbreak lasted for one month. All affected students recovered completely without severe complications or deaths, and the outbreak was effectively contained. ConclusionThis scabies infection is a clustered school-based scabies outbreak caused by Sarcoptes scabiei. Affected patients present relatively severe symptoms and a prolonged disease course. Scientific and standardized preventive systems should be established to enable timely early warning and emergency response.

Objective To establish an analytical strategy covering multi-dataset processing, recursive feature elimination (RFE) screening and multi-model evaluation based on multiple machine learning algorithms, so as to screen radiation-sensitive genes and verify the feasibility of the evaluation strategy. Methods Qualified radiation transcriptome datasets were retrieved from public gene expression databases. Following standardized data preprocessing and feature preselection, 13 machine learning algorithms were adopted to construct models. The performance of each model was compared and validated in independent datasets. Results A total of 38 eligible datasets were included. Sixteen differentially expressed genes unreported in existing literature were screened out, among which ugcrhl, pdcl3, mct4, h2-g2 and fam120aos were correlated with radiation phenotypes. Ensemble learning algorithms including random forest and gradient boosting exhibited the optimal comprehensive performance. Independent dataset verification confirmed that the screened genes overlapped with known radiation-sensitive genes, and the model performance was consistent with the findings. Conclusion The machine learning strategy constructed in this study can effectively explore potential radiation-sensitive genes, and provides methodological support for subsequent relevant studies.

ObjectiveTo investigate the therapeutic effect of Shaoyao Gancaotang （SYGCT） on high-fat diet （HFD）-aggravated colitis induced by dextran sulfate sodium （DSS） in mice and decipher the potential mechanism. MethodsForty male C57BL/6J mice were fed an HFD for 14 days， followed by gavage of 2%DSS for 7 days for the modeling of HFD-aggravated colitis. The mice were randomly allocated into control， model （HFD-aggravated colitis）， low-dose （5.2 g·kg^-1） SYGCT， high-dose （10.4 g·kg^-1） SYGCT， and 5-aminosalicylic acid （5-ASA， positive control， 50 mg·kg^-1） groups. Body mass changes and disease activity index （DAI） scores were recorded. The colon length was measured. Pathological changes in the colon tissue were observed through hematoxylin-eosin （HE） staining. Transcriptomic analysis was performed to identify differentially expressed genes. Western blot was employed to quantify the protein levels of Occludin， Claudin3， solute carrier family 7 member 11 （SLC7A11）， glutathione peroxidase 4 （GPX4）， and ferritin heavy chain 1 （FTH1）. ResultsCompared with the control group， the model group exhibited diarrhea， bloody stools， increased DAI scores （P<0.01）， colon shortening （P<0.01）， severe colonic pathological damage， and reduced expression of tight junction proteins Occludin and Claudin3 （P<0.05， P<0.01）. Transcriptomic analysis revealed that the differentially expressed genes between the high-dose SYGCT group and the model group were significantly enriched in the ferroptosis signaling pathway. Compared with the model group， SYGCT treatment alleviated diarrhea and bloody stools， reduced DAI scores （P<0.01）， increased the colon length （P<0.01）， mitigated colonic pathological damage， and upregulated the expression of Occludin and Claudin3 （P<0.01）， as well as proteins （SLC7A11， GPX4， and FTH1） associated with the inhibition of ferroptosis （P<0.05）. ConclusionSYGCT significantly ameliorates HFD-aggravated DSS-induced colitis by suppressing ferroptosis via activation of the SLC7A11/GPX4 pathway.

Objective: To investigate the longitudinal associations between dietary patterns in early childhood and myopia among children, so as to provide evidence for improving early childhood dietary patterns and promoting healthy ocular development among children. Methods: Participants were derived from the Ma-anshan Birth Cohort (MABC). A total of 1 432 children were included. Dietary patterns at 2.5 years of age were collected in 2017 using a food frequency questionnaire completed by parents. In 2022, cycloplegic refraction and ocular biometric parameters were measured in children aged 7-8 years. Food components were grouped into tertiles ( T1-T 3), and latent class analysis (LCA) was used to identify dietary pattern at the age of 2.5. Log-binomial regression and multiple linear regression model were applied to examine the associations of dietary patterns and their latent classes with myopia, spherical equivalent (SE), and axial length (AL). Results: The prevalence of myopia among children was 23.9%. After adjusting for covariates, the T 2 group of cereals and tubers was negatively associated with myopia rate ( RR=0.72, 95%CI =0.57-0.90) and AL ( β=-0.15, 95%CI =-0.24 to -0.05), and positively associated with SE ( β=0.21, 95%CI =0.06-0.35)(all P ＜0.05). Linear regression models showed that the T 2 group of fruits and vegetables was positively associated with AL ( β=0.09, 95%CI =0.00- 0.19 ); the T 3 group of high sugar foods ( β=0.11, 95%CI =0.00-0.21) and the T 3 group of processed foods ( β= 0.10 , 95%CI =0.00-0.19) were positively associated with AL; total scores for high sugar foods ( β=0.07, 95%CI =0.00-0.14) and processed foods ( β=0.09, 95%CI =0.01-0.17) were positively associated with AL (all P <0.05). After adjusting for sex, age, and parental myopia, the comprehensive high intake pattern was positively associated with AL ( β=0.12, 95%CI =0.00-0.23, P <0.05). After further adjusting for daily screen time and daily outdoor activity time, the association was no longer statistically significant ( β= 0.11 , 95%CI =-0.00-0.23, P >0.05). Conclusions Moderate consumption of cereals and tubers in early childhood may reduce the risk of myopia and delay AL growth. In contrast, high sugar and highly processed diets may promote AL and increase myopia risk. Establishing healthy dietary habits in early childhood and limiting intake of high sugar and processed foods is crucial for promoting ocular development in children.

Objective To investigate the influencing factors of advanced bone age in early adolescence, and to provide a scientific basis for the early identification of children and adolescents with abnormal bone age development. Methods A prospective cohort study design was adopted. From July 2022 to September 2023, height, weight, and body composition data of children were collected, with the baseline age of the study participants being 8.42±0.50 years. Subsequently, from March 2024 to November 2025, these children in the cohort were followed up and their bone age development was monitored. In the end, a total of 1142 participants with complete data were included in the study. Results In early adolescence, there were 239 individuals (20.93%) with early bone age development and 103 (9.02%) with delayed development. The proportion of early bone age development was higher among individuals whose mothers had gestational hypertension during pregnancy, and the difference was statistically significant (χ²=8.90, P<0.05). The proportion of early bone age development was higher among boys, and the difference was statistically significant (χ²=41.69, P＜0.001). Disordered multiclass logistic regression analysis showed that after adjusting for demographic factors, overweight (OR=2.65, 95%CI:1.81-3.88), obesity (OR=6.51, 95%CI: 4.45-9.53), and excessive body fat percentage (OR=4.60, 95% CI: 3.01-7.03) were associated with an increased risk of early bone age development in children and adolescents. Conclusion Being overweight/obese and having an excessive body fat percentage can increase the risk of early bone age development in adolescents.