With the younger age of electronic device use and changes in lifestyle, the incidence of dry eye in children has significantly increased, becoming a research hotspot in clinical and scientific fields. Due to the dissociation of symptoms and signs, hidden manifestations, and complex etiology, children with dry eye form a special diagnostic and treatment group. Traditional dry eye detection methods have defects such as low cooperation from children, poor accuracy, and invasiveness, and the lack of a unified diagnostic guideline makes it difficult to accurately assess relevant indicators, urgently requiring scientific diagnostic technologies and standards. In recent years, new detection technologies have brought breakthroughs. The Keratograph 5M can objectively evaluate tear film stability and meibomian gland function; questionnaires such as DEQ-5 enhance the feasibility of subjective symptom feedback in young children; SM Tube test strips, with their rapid and non-invasive advantages, have become efficient tear screening tools; and the application of artificial intelligence(AI)has further revolutionized the diagnostic model, significantly improving diagnostic efficiency and children's compliance. However, existing technologies still face challenges such as difficulty in grassroots popularization, lack of child-specific reference values, and insufficient interdisciplinary data integration. Future efforts should focus on establishing age-stratified diagnostic criteria through multi-center collaboration, integrating AI with multimodal detection technologies, and constructing a diversified evaluation system to support early intervention and precision treatment for childhood dry eye. This paper systematically reviews the progress in detection technologies for childhood dry eye, focuses on the uniqueness of children as a special diagnostic and treatment group, discusses clinical difficulties and challenges, and integrates multimodal and intelligent methods to provide innovative solutions and practical pathways for precise diagnosis, reduction of misdiagnosis rates, and improvement of the diagnostic and treatment system for childhood dry eye.

AIM: To evaluate the pathogenic variants of the SCO2(OMIM 604272)gene in patients with high myopia from Enshi Tujia and Miao Autonomous Prefecture of China.METHODS: A total of 384 patients with high myopia whose spherical refractive error was ≤ -6.00 D and whose axial length was ≥26.00 mm in at least one eye were recruited. DNA was extracted by the phenol-chloroform method from 5 mL of peripheral venous blood. Sanger sequencing was performed to identify pathogenic variants in exon 2 of SCO2. The detected variants were evaluated via in silico prediction software. A total of 288 people from the same district were included as the normal control cohort.RESULTS: Seven variants were detected, namely, four synonymous variants(c.201C>T/p.=, c.576C>T/p.=, c.633A>C/p.=, c.780T>C/p.=.), two missense variants(c.187A>G/p.Ile63Val, c.59G>C/p.Arg20Pro)and one nonsense variant(c.544C>T/p.Gln182*). The two missense variants were not damaging, as predicted by PolyPhen2, SIFT and Provean. The novel nonsense variant(c.544C>T/p.Gln182*)cannot be found in the 1000 Genomes Project and was not identified in 288 normal controls. Variant Taster suggested that the nonsense variant site was conserved.CONCLUSION: The newly identified nonsense mutation may be responsible for high myopia of the patients in our cohort. SCO2 is associated with high myopia, while the incidence of SCO2 variants in high myopia in this cohort was as low as 1/384; the nonsense mutation may be a scarce variant of high myopia in the Enshi Tujia and Miao Autonomous Prefecture of China.

OBJECTIVE To investigate the intervention effect and potential mechanism of breviscapine on hepatic fibrosis （HF） in rats based on the transforming growth factor-β（1 TGF-β1）/Smad2/extracellular signal-regulated protein kinase 1（ERK1） and Kelch-like epichlorohydrin-associated protein 1（Keap1）/nuclear factor-erythroid 2-related factor 2（Nrf2）/heme oxygenase-1（HO-1） pathways. METHODS Totally 60 rats were randomly divided into normal control group， model group， breviscapine low-dose， medium-dose and high-dose groups （5.4， 10.8， 21.6 mg/kg）， and colchicine group （positive control， 0.45 mg/kg）， with 10 rats in each group， half male and half female. Except for the normal control group， HF model of the other groups was induced by carbon tetrachloride. Subsequently， each drug group was given corresponding medicine by gavage once a day for 28 days. The liver appearance of rats in each group was observed and their liver coefficients were calculated. The levels of alanineaminotransferase （ALT） and aspartate aminotransferase （AST）in serum， those of ALT， AST， superoxide dismutase （SOD），malondialdehyde （MDA） and glutathione peroxidase （GSH- Px） in liver tissue were detected. The liver tissue inflammatory and fibrotic changes were observed. The protein and mRNA expressions of TGF-β1， Smad2， ERK1， Nrf2， Keap1 and HO-in liver tissue were detected. RESULTS Compared with the normal control group， the model group showed large areas of white nodular lesions in the liver， obvious inflammatory cell infiltration and collagen fiber deposition. The body weight， the levels of SOD and GSH-Px in liver tissue， the protein and mRNA expressions of Nrf2 and HO-1 were significantly lowered in the model group （P＜0.05）； the liver coefficient， the percentage of Masson staining positive area， ALT and AST levels of serum and liver tissue， MDA level of liver tissue， the protein and mRNA expressions of TGF-β1， Smad2， ERK1 and Keap1 were significantly increased （P＜0.05）. Compared with the model group， the liver lesions of rats in each drug group were improved， and the above quantitative indexes were generally reversed （P＜0.05）. CONCLUSIONS Breviscapine has a good intervention effect on HF rats， which may be related to inhibiting TGF-β1/Smad2/ERK1 pathway for anti-fibrosis and regulating Keap1/Nrf2/HO-1 pathway to inhibit oxidative stress.

Objective:To explore the value of the Nomogram model established by CT radiomics combined with clinical indicators for prediction of the severity of early acute pancreatitis (AP).Methods:From January 2016 to March 2023, the AP patients in the Second Affiliated Hospital of Soochow University were retrospectively collected. According to the revised Atlanta classification and definition of acute pancreatitis in 2012, all patients were divided into the severe group and the non-severe group. All patients were first diagnosed, and abdominal CT plain scan and enhanced scan were completed within 1 week. Patients were randomly (random number) divided into training and validation groups at a ratio of 7:3. The pancreatic parenchyma was delineated as the region of interest on each phase CT images, and the radiomics features were extracted by python software. LASSO regression and 10-fold cross-validation were used to reduce the dimension and select the optimal features to establish the radiomics signature. Multivariate Logistic regression was used to select the independent predictors of severe acute pancreatitis (SAP), and a clinical model was established. A Nomogram model was established by combining CT radiomics signature and clinical independent predictors. Receiver operating characteristic (ROC) curve and decision curve analysis (DCA) were used to evaluate the predictive efficacy of each model.Results:Total of 205 AP patients were included (59 cases in severe group, 146 cases in non-severe group). 3, 5, 5 and 5 optimal radiomics features were selected from the plain CT scan, arterial phase, venous phase and delayed phase images of all patients, and the radiomics models were established. Among them, the arterial phase radiomics model had relatively better performance in predicting SAP, with an area under curve (AUC) of 0.937 in the training group and 0.913 in the validation group. Multivariate Logistic regression showed that C-reactive protein (CRP) and lactate dehydrogenase (LDH) were independent predictors of SAP, and they were used to establish a clinical model. The AUC in the training and validation groups were 0.879 and 0.889, respectively. The Nomogram model based on arterial phase CT radiomics signature, CRP and LDH was established, and the AUC was 0.956 and 0.947 in the training group and validation group, respectively. DCA showed that the net benefit of Nomogram model was higher than that of clinical model or radiomics model alone.Conclusions:The Nomogram model established by CT radiomics combined with clinical indicators has high application value for early prediction of the severity of AP, which is conducive to the formulation of clinical treatment plans and prognosis evaluation.

Objective:To analyze the mutation spectrum and hematological phenotype of hemoglobin subunit delta(HBD) gene among prenatal population in Xiangtan City, and to provide scientific basis for screening and diagnosis of rare and complex hemoglobinopathia.Methods:Prenatal population underwent screening and genetic testing for thalassemia at Xiangtan Maternal and Child Health Hospital from October 2022 to December 2023 were selected as the study subjects, combined with capillary electrophoresis results, further HBD gene sequencing was performed to identify specific genotypes.Results:A total of 5 371 subjects were enrolled, 22 cases of HBD gene mutations were detected, with a mutation carrier rate of 0.41% (22/5 371). Among them, 14 cases were diagnosed with δ thalassemia, 7 cases were δ abnormal hemoglobin, and 1 case was δ thalassemia combined with δ abnormal hemoglobin. There were 7 HBD mutant genotypes were included, with -77(T>C) being the most common, followed by hemoglobin (Hb) A 2-Huadu and CD34(+GGT); accounting for 68.2% (15/22), 9.1% (2/22), 9.1% (2/22). CD34(+GGT) was a newly discovered genotype, and CD7(GAG>TAG) was the first reported genotype in Chinese population. The Hb content, mean corpuscular volume, and mean corpuscular hemoglobin content were normal or nearly normal in 22 carriers of the HBD gene mutation; capillary electrophoresis demonstrated reduced Hb A 2 content in all cases. Conclusions:HBD gene mutations have been detected in the prenatal population in Xiangtan City, with -77(T>C) being the most common mutation genotype. None of the mutation carriers showed anemia.

Objective By exploring the conditional configuration effect of negative defensive medicine behavior,the formation mechanism and causal path of negative defensive medicine are explained,and systematic suggestions are provided for negative defensive medicine behavior,so as to improve the rational utilization of health resources.Methods NCA and fsQCA are used to conduct configuration analysis on factors influencing passive defensive medical behavior,output the conditional configuration,and further analyze the configuration effects among the influencing factors.Results The antecedent conditions of negative defensive medicine include systemic mechanisms,institutional norms,social culture,doctor-patient relationships,and self-efficacy.Ultimately,two paths contributing to passive defensive medical behavior emerge:environment conduction type and efficiency-environment joint conduction type,their consistency is 0.830.Conclusion To reduce the negative defensive medical behavior,it should pay atten-tion to improving the institutional environment and improving doctors'self-efficacy,establish a fair and reasonable external institutional environment,create an honest and harmonious cultural atmosphere,strengthen the training of doctors'professional ability and improve the doctor-patient relationship,so as to improve the rational use of health resources.

OBJECTIVE To establish the analysis methods of 33 banned pesticides in Ginkgo Biloba leaves and the extracts, and conduct the risk assessment study. METHODS One hundred and thirty-six batches of Ginkgo Biloba leaves and 58 batches of Ginkgo Biloba leaves extract were detected by UPLC-MS and GC-MS. The acute and chronic intake risk of pesticide residues in samples were calculated by point assessment method, and the risk scores of the pesticides were calculated by the Britain veterinary residues matrix ranking. RESULTS Six kinds of banned pesticides were detected in 136 batches of Ginkgo Biloba leaves, the total detection rate was 35.29%, and the detection amount was 0.002−0.210 mg·kg−1. The chronic dietary intake risk was 0.018%−0.620%, and the acute dietary intake risk was 0.000 1%−0.014 0%, indicated that the dietary exposure risk of pesticides in Ginkgo biloba leaves was at a low level. Two kinds of banned pesticides were detected in 58 batches of Ginkgo Biloba leaves extract, the detection rate was 55.17%, and the detection amount was 0.002−1.788 mg·kg−1. The percentage of acceptable daily intake was 0.003%−0.143%, and the percentage of acute reference dose was 0.002 4%, which was also at a low level. Risk ranking results indicated that the risk of phorate was the highest and should be focused on the production and safety supervision. CONCLUSION The method has good stability, high precision and promising repeatability, which can be used for the detection of 33 prohibited pesticides in Ginkgo biloba leaves and their extracts. The results show that the residual amounts of 33 banned pesticides in Ginkgo Biloba leaves and its extracts were extremely low, and there is no significant health risks.

Objective By exploring the conditional configuration effect of negative defensive medicine behavior,the formation mechanism and causal path of negative defensive medicine are explained,and systematic suggestions are provided for negative defensive medicine behavior,so as to improve the rational utilization of health resources.Methods NCA and fsQCA are used to conduct configuration analysis on factors influencing passive defensive medical behavior,output the conditional configuration,and further analyze the configuration effects among the influencing factors.Results The antecedent conditions of negative defensive medicine include systemic mechanisms,institutional norms,social culture,doctor-patient relationships,and self-efficacy.Ultimately,two paths contributing to passive defensive medical behavior emerge:environment conduction type and efficiency-environment joint conduction type,their consistency is 0.830.Conclusion To reduce the negative defensive medical behavior,it should pay atten-tion to improving the institutional environment and improving doctors'self-efficacy,establish a fair and reasonable external institutional environment,create an honest and harmonious cultural atmosphere,strengthen the training of doctors'professional ability and improve the doctor-patient relationship,so as to improve the rational use of health resources.

Objective By exploring the conditional configuration effect of negative defensive medicine behavior,the formation mechanism and causal path of negative defensive medicine are explained,and systematic suggestions are provided for negative defensive medicine behavior,so as to improve the rational utilization of health resources.Methods NCA and fsQCA are used to conduct configuration analysis on factors influencing passive defensive medical behavior,output the conditional configuration,and further analyze the configuration effects among the influencing factors.Results The antecedent conditions of negative defensive medicine include systemic mechanisms,institutional norms,social culture,doctor-patient relationships,and self-efficacy.Ultimately,two paths contributing to passive defensive medical behavior emerge:environment conduction type and efficiency-environment joint conduction type,their consistency is 0.830.Conclusion To reduce the negative defensive medical behavior,it should pay atten-tion to improving the institutional environment and improving doctors'self-efficacy,establish a fair and reasonable external institutional environment,create an honest and harmonious cultural atmosphere,strengthen the training of doctors'professional ability and improve the doctor-patient relationship,so as to improve the rational use of health resources.

Objective By exploring the conditional configuration effect of negative defensive medicine behavior,the formation mechanism and causal path of negative defensive medicine are explained,and systematic suggestions are provided for negative defensive medicine behavior,so as to improve the rational utilization of health resources.Methods NCA and fsQCA are used to conduct configuration analysis on factors influencing passive defensive medical behavior,output the conditional configuration,and further analyze the configuration effects among the influencing factors.Results The antecedent conditions of negative defensive medicine include systemic mechanisms,institutional norms,social culture,doctor-patient relationships,and self-efficacy.Ultimately,two paths contributing to passive defensive medical behavior emerge:environment conduction type and efficiency-environment joint conduction type,their consistency is 0.830.Conclusion To reduce the negative defensive medical behavior,it should pay atten-tion to improving the institutional environment and improving doctors'self-efficacy,establish a fair and reasonable external institutional environment,create an honest and harmonious cultural atmosphere,strengthen the training of doctors'professional ability and improve the doctor-patient relationship,so as to improve the rational use of health resources.