AIM: To explore the diagnostic value of 18 MHz color Doppler ultrasonography for epiretinal membrane.METHODS: A total of 44 cases(80 eyes)of patients with proposed diagnosis of cataract and vitreous opacity by fundus examination in our hospital between January 2020 and January 2022 were collected, and the affected eyes were examined by optical coherence tomography(OCT)and 18 MHz color Doppler ultrasonography, and the differences in the diagnostic sensitivity, specificity, and accuracy were compared between 18 MHz color Doppler ultrasonography and OCT for the diagnosis of epiretinal membrane.RESULTS: In the 80 eyes detected by 18 MHz color Doppler ultrasonography, 62 had epiretinal membrane and 18 had non epiretinal membrane. Totally 54 eyes were confirmed to have epiretinal membrane by OCT, 13 eyes were not diagnosed with epiretinal membrane, 5 eyes were missed diagnosis, and 8 eyes were misdiagnosed. The diagnostic consistency between 18 MHz color Doppler ultrasonography and OCT was high(Kappa=0.892, P<0.05); the 18 MHz color Doppler ultrasonography detection sensitivity of epiretinal membrane was 92%, specificity was 62%, missed diagnosis rate was 8%, misdiagnosis rate was 38%, and accuracy was 84%; compared with OCT detection, 18 MHz color Doppler ultrasonography detected a lower specificity, correct rate, positive prediction accuracy, negative prediction accuracy, and higher misdiagnosis rate(all P<0.05), and the difference in diagnostic sensitivity compared with leakage rate was not statistically significant(all P>0.05).CONCLUSION: 18 MHz color Doppler ultrasonography has some value in identifying epiretinal membrane lesions and is consistent with OCT testing.

Background The widespread use of herbicides has led to environmental contamination and has implications for human health. The liver is an important organ for the detoxification of environmental pollutants; however, studies on the association between herbicide exposure and liver function are limited. Objectives To investigate the association between baseline serum herbicide levels and changes in liver enzyme levels and liver enzyme abnormalities over a 5-year period in middle-aged and older adults. Methods This study was based on a nested case-control population of type 2 diabetes established in the Dongfeng-Tongji cohort, with a total of 1388 subjects included in this study and followed up for 5 years. Epidemiological data were collected through questionnaires, and baseline serum concentrations of three herbicides (metolachlor, propham, and acetochlor) were measured by gas chromatography-triple quadrupole mass spectrometry. Serum aspartate aminotransferase (AST) and alanine aminotransferase (ALT) levels were detected at baseline and follow-up visits. The associations between baseline serum herbicide levels and changes in AST and ALT over 5 years were assessed using linear regression models with herbicide levels categorized into quartiles, adjusting for age, sex, education level, smoking status, drinking status, physical activity, body mass index, and new-onset type 2 diabetes occurred during follow-up. The relationship between baseline serum herbicide levels and the risk of liver enzyme abnormalities during follow-up was further analyzed using logistic regression models. Results The positive rates of metolachlor, propham, and acetochlor were all higher than 80%, and their spiked rates of recovery ranged from 73.46% to 106.77%. The mean ± standard deviation of the age of subjects at baseline was (62.7±7.6) years, with 34.1% being male. The median serum levels of metolachlor, propham, and acetochlor at baseline were 0.05, 0.16, and 0.03 ng·mL⁻¹, respectively. There was no significant difference in baseline serum herbicide levels between the normal and abnormal liver enzyme groups at follow-up (P >0.05). The baseline liver enzyme levels and the changes in AST and ALT over 5 years in those who developed abnormal liver enzymes were significantly higher than those in the normal liver enzyme group (P <0.05). The linear regression analysis showed that the changes in AST increased progressively over 5 years in the second, third, and fourth quartiles of propham compared to the lowest quartile group (the second quartile: b=1.49, 95%CI: 0.10, 2.87; the third quartile: b=1.52, 95%CI: 0.14, 2.90; the fourth quartile: b=1.69, 95%CI: 0.31, 3.08; P <0.05). The associations of serum metolachlor and acetochlor with changes in AST were not significant. Additionally, no significant relationships were found between the three serum herbicides and the changes in ALT over 5 years or the risk of liver enzyme abnormalities. Conclusion Serum propham levels in middle-aged and older adults are positively associated with changes in liver enzyme AST, which may have an effect on liver function. More studies are needed to provide scientific evidence for the association between herbicide exposure and liver function.

Objective To explore the application of serum signal transducers and activators of transduction 3(STAT3)and SMAD4 expression levels in the early diagnosis and clinical staging of primary glaucoma patients.Methods 86 patients with primary glaucoma admitted to Cangzhou Eye Hospital from August 2021 to May 2023 were selected as the study group,according to the clinical symptoms and visual examination results of the research group,they were divided into mild injury stage(n=30),moderate injury stage(n=34)and severe injury stage(n=22).Another 86 healthy individuals who underwent physical examinations in Cangzhou Eye Hospital during the same period were collected as the control group.Enzyme linked immunosorbent assay(ELISA)was applied to detect the expression levels of serum STAT3 and SMAD4.Multivariate Logistic regression was applied to analyze the relevant factors affecting clinical staging of primary glaucoma,receiver operating characteristic(ROC)curve was applied to analyze the diagnostic value of serum STAT3 and SMAD4 in patients with moderate/severe primary glaucoma injury.Results The expression levels of serum STAT3(13.96±3.45 ng/ml)and SMAD4(11.23±2.85 ng/ml)in the study group were obviously higher than those in the control group(9.83±1.72 ng/ml,7.78±1.95 ng/ml),the differences were statistically significant(F=13.085,17.513,all P＜0.05).The expression levels of serum STAT3(11.88±2.52 ng/ml,13.85±3.51 ng/ml,16.96±4.63 ng/ml)and SMAD4(9.15±1.95 ng/ml,11.23±2.83 ng/ml,14.08±4.12 ng/ml)in patients with primary glaucoma in mild,moderate and severe injury groups were gradually increased,the differences were statistically significant(F=13.085,17.513,all P＜0.05).There was a statistically obvious difference in intraocular pressure among patients with mild,moderate(24.21±5.03 mmHg,28.16±6.31 mmHg,32.26±7.57mmHg),and severe injuries(F=10.577.P＜0.05).serum STAT3[OR(95%CI)=2.728(1.409～5.281)],SMAD4[OR(95%CI)=2.849(1.507～5.387)],and intraocular pressure[OR(95%CI)=2.435(1.094～5.417)]were risk factors affecting clinical staging of primary glaucoma(all P＜0.05).The area under the curve(AUC)of the combined diagnosis of serum STAT3 and SMAD4 for moderate/severe injury in patients with primary glaucoma was 0.963(95%CI:0.899～0.992),which was superior to their respective individual diagnoses(Z =2.558,1.961;P=0.010,0.049),their sensitivity and specificity were 96.43%and 83.33%,respectively.Conclusion The higher the expression levels of STAT3 and SMAD4 in serum,the more severe the clinical symptoms in patients.The combined detection of the two has good diagnostic value for patients with moderate/severe injury.

AIM To establish a GC-MS method for the simultaneous content determination of sixteen pesticide residues in Lycii Fructus and perform safety assessment.METHODS The analysis was performed on DB-5MS chromatographic column(30 m×0.25 mm,0.25 μm)subjected to the programmed heating,with splitless injection of 1.0 μL dissolved sample at a flowing rate of 1.0 mL/min.Other parameters were as follows:injection port temperature of 250℃,electron impact ionization(EI),electron energy of 70 eV;ion source temperature of 230℃,multi-reaction monitoring mode,and collision gas.of high-purity N2.Pesticide residues with relatively high dietary risk were analyzed and discussed with regard to residue levels,dietary intake risk,risk ranking and cumulative exposure assessment.RESULTS Sixteen pesticides showed good linear relationships within their own ranges(r≥0.994 4),whose average recoveries were 70%-114%,with the RSDs of less than 2%.The highest average cyfluthrin residue of 0.999 2 mg/kg in Lycii Fructus of production regions and the highest average cypermethrin residue of 0.088 4 mg/kg in Lycii Fructus commodities were both detected.In Lycii Fructus of production regions with chronic hazard index(HI)value of 0.012 9 and acute HI value of 0.065 5 and their commodities with chronic HI of 0.001 2 and acute HI of 0.005 4,the pesticide residue of cypermethrin was the leading cause of chronic and acute dietary risk,and additionally,pyridaben within maximum residue limit(MRL)was the only detectectable highly toxic pesticide among the other most concerning pestcides of deltamethrin,pyridaben,chlorpyrifos,dichlorvos and methidathion.CONCLUSION There exist pesticide residues within MRL values in some samples of Lycii Fructus and the use of cypermethrin should be well-controlled.

Background: Intravenous immunoglobulin (IVIG)-resistant Kawasaki disease is associated with coronary artery lesion development.Purpose: This study aimed to explore the factors associated with IVIG-resistance and construct and validate an interpretable machine learning (ML) prediction model in clinical practice. Methods: Between December 2014 and November 2022, 602 patients were screened and risk factors for IVIG-resistance investigated. Five ML models are used to establish an optimal prediction model. The SHapley Additive exPlanations (SHAP) method was used to interpret the ML model. Results: Na+, hemoglobin (Hb), C-reactive protein (CRP), and globulin were independent risk factors for IVIG-resistance. A nonlinear relationship was identified between globulin level and IVIG-resistance. The XGBoost model exhibited excellent performance, with an area under the receiver operating characteristic curve of 0.821, accuracy of 0.748, sensitivity of 0.889, and specificity of 0.683 in the testing set. The XGBoost model was interpreted globally and locally using the SHAP method. Conclusion Na+, Hb, CRP, and globulin levels were independently associated with IVIG-resistance. Our findings demonstrate that ML models can reliably predict IVIG-resistance. Moreover, use of the SHAP method to interpret the established XGBoost model's findings would provide evidence of IVIG-resistance and guide the individualized treatment of Kawasaki disease.

Objective:To develop a robotic digestive endoscope system (RDES) and to evaluate its feasibility, safety and control performance by experiments.Methods:The RDES was designed based on the master-slave control system, which consisted of 3 parts: the integrated endoscope, including a knob and button robotic control system integrated with a gastroscope; the robotic mechanical arm system, including the base and arm, as well as the endoscopic advance-retreat control device (force-feedback function was designed) and the endoscopic axial rotation control device; the control console, including a master manipulator and an image monitor. The operator sit far away from the endoscope and controlled the master manipulator to bend the end of the endoscope and to control advance, retract and rotation of the endoscope. The air supply, water supply, suction, figure fixing and motion scaling switching was realized by pressing buttons on the master manipulator. In the endoscopy experiments performed on live pigs, 5 physicians each were in the beginner and advanced groups. Each operator operated RDES and traditional endoscope (2 weeks interval) to perform porcine gastroscopy 6 times, comparing the examination time. In the experiment of endoscopic circle drawing on the inner wall of the simulated stomach model, each operator in the two groups operated RDES 1∶1 motion scaling, 5∶1 motion scaling and ordinary endoscope to complete endoscopic circle drawing 6 times, comparing the completion time, accuracy (i.e. trajectory deviation) and workload.Results:RDES was operated normally with good force feedback function. All porcine in vivo gastroscopies were successful, without mucosal injury, bleeding or perforation. In beginner and advanced groups, the examination time of both RDES and ordinary endoscopy tended to decrease as the number of operations increased, but the decrease in time was greater for operating RDES than for operating ordinary endoscope (beginner group P=0.033; advanced group P=0.023). In the beginner group, the operators operating RDES with 1∶1 motion scaling or 5∶1 motion scaling to complete endoscopic circle drawing had shorter completion time [1.68 (1.40, 2.17) min, 1.73 (1.47, 2.37) min VS 4.13 (2.27, 5.16) min, H=32.506, P<0.001], better trajectory deviation (0.50±0.11 mm, 0.46±0.11 mm VS 0.82±0.26 mm, F=38.999, P<0.001], and less workload [42.00 (30.00, 50.33) points, 43.33 (35.33, 54.00) points VS 52.67 (48.67, 63.33) points, H=20.056, P<0.001] than operating ordinary endoscope. In the advanced group, the operators operating RDES with 1∶1 or 5∶1 motion scaling to complete endoscopic circle drawing had longer completion time than operating ordinary endoscope [1.72 (1.37, 2.53) min, 1.57 (1.25, 2.58) min VS 1.15 (0.86, 1.58) min, H=13.233, P=0.001], but trajectory deviation [0.47 (0.13, 0.57) mm, 0.44 (0.39, 0.58) mm VS 0.52 (0.42, 0.59) mm, H=3.202, P=0.202] and workload (44.62±21.77 points, 41.24±12.57 points VS 44.71±17.92 points, F=0.369, P=0.693) were not different from those of the ordinary endoscope. Conclusion:The RDES enables remote control, greatly reducing the endoscopists' workload. Additionally, it gives full play to the cooperative motion function of the large and small endoscopic knobs, making the control more flexible. Finally, it increases motion scaling switching function to make the control of endoscope more flexible and more accurate. It is also easy for beginners to learn and master, and can shorten the training period. So it can provide the possibility of remote endoscopic control and fully automated robotic endoscope.

Pharmaceutical cocrystals is an advanced technology to improve the physicochemical and biological properties of drugs. However, there are few studies on the in vivo metabolism of pharmaceutical cocrystals. In this study, the pharmacokinetics of wogonin cocrystal in normal rats was further studied on the basis of the previous preparation of wogonin-aloperine cocrystal. Firstly, an ultra-performance liquid chromatography-tandem mass spectrometry (UPLC-MS/MS) method was established for simultaneous determination of wogonin and its metabolite wogonoside in rat plasma, and to investigate the methodology. The method was applied to the pharmacokinetic study of wogonin-aloperine cocrystal (Wog-Alop) in rats. The results showed that wogonin and its metabolite wogonoside had a good linear relationship in the range of 1-800 ng·mL^-1, and the precision, accuracy, matrix effect and stability in this range met the requirements of biological analysis. Compared with direct administration of wogonin, the C_max of wogonin and its metabolite in rats increased to 7.44-fold and 9.15-fold, AUC_0-t increased to 1.67-fold and 3.72-fold, and oral bioavailability of wogonin increased to 187.66% after cocrystal administration. Wog-Alop cocrystal can significantly improve the C_max, AUC, and oral bioavailability of wogonin and its metabolite, which provides a new perspective for the clinical application of wogonin. This study was approved by the Experimental Animal Ethics Review Committee of Beijing University of Chinese Medicine (approval number: BUCM-2023032307-1148).

Background: Intravenous immunoglobulin (IVIG)-resistant Kawasaki disease is associated with coronary artery lesion development.Purpose: This study aimed to explore the factors associated with IVIG-resistance and construct and validate an interpretable machine learning (ML) prediction model in clinical practice. Methods: Between December 2014 and November 2022, 602 patients were screened and risk factors for IVIG-resistance investigated. Five ML models are used to establish an optimal prediction model. The SHapley Additive exPlanations (SHAP) method was used to interpret the ML model. Results: Na+, hemoglobin (Hb), C-reactive protein (CRP), and globulin were independent risk factors for IVIG-resistance. A nonlinear relationship was identified between globulin level and IVIG-resistance. The XGBoost model exhibited excellent performance, with an area under the receiver operating characteristic curve of 0.821, accuracy of 0.748, sensitivity of 0.889, and specificity of 0.683 in the testing set. The XGBoost model was interpreted globally and locally using the SHAP method. Conclusion Na+, Hb, CRP, and globulin levels were independently associated with IVIG-resistance. Our findings demonstrate that ML models can reliably predict IVIG-resistance. Moreover, use of the SHAP method to interpret the established XGBoost model's findings would provide evidence of IVIG-resistance and guide the individualized treatment of Kawasaki disease.

Background: Intravenous immunoglobulin (IVIG)-resistant Kawasaki disease is associated with coronary artery lesion development.Purpose: This study aimed to explore the factors associated with IVIG-resistance and construct and validate an interpretable machine learning (ML) prediction model in clinical practice. Methods: Between December 2014 and November 2022, 602 patients were screened and risk factors for IVIG-resistance investigated. Five ML models are used to establish an optimal prediction model. The SHapley Additive exPlanations (SHAP) method was used to interpret the ML model. Results: Na+, hemoglobin (Hb), C-reactive protein (CRP), and globulin were independent risk factors for IVIG-resistance. A nonlinear relationship was identified between globulin level and IVIG-resistance. The XGBoost model exhibited excellent performance, with an area under the receiver operating characteristic curve of 0.821, accuracy of 0.748, sensitivity of 0.889, and specificity of 0.683 in the testing set. The XGBoost model was interpreted globally and locally using the SHAP method. Conclusion Na+, Hb, CRP, and globulin levels were independently associated with IVIG-resistance. Our findings demonstrate that ML models can reliably predict IVIG-resistance. Moreover, use of the SHAP method to interpret the established XGBoost model's findings would provide evidence of IVIG-resistance and guide the individualized treatment of Kawasaki disease.

Background: Intravenous immunoglobulin (IVIG)-resistant Kawasaki disease is associated with coronary artery lesion development.Purpose: This study aimed to explore the factors associated with IVIG-resistance and construct and validate an interpretable machine learning (ML) prediction model in clinical practice. Methods: Between December 2014 and November 2022, 602 patients were screened and risk factors for IVIG-resistance investigated. Five ML models are used to establish an optimal prediction model. The SHapley Additive exPlanations (SHAP) method was used to interpret the ML model. Results: Na+, hemoglobin (Hb), C-reactive protein (CRP), and globulin were independent risk factors for IVIG-resistance. A nonlinear relationship was identified between globulin level and IVIG-resistance. The XGBoost model exhibited excellent performance, with an area under the receiver operating characteristic curve of 0.821, accuracy of 0.748, sensitivity of 0.889, and specificity of 0.683 in the testing set. The XGBoost model was interpreted globally and locally using the SHAP method. Conclusion Na+, Hb, CRP, and globulin levels were independently associated with IVIG-resistance. Our findings demonstrate that ML models can reliably predict IVIG-resistance. Moreover, use of the SHAP method to interpret the established XGBoost model's findings would provide evidence of IVIG-resistance and guide the individualized treatment of Kawasaki disease.