The aim of this study was to investigate the mechanism of quercetin in inhibiting the fer-roptosis induced by zearalenone(ZEN)via mediating the nuclear factor erythroid-2-related factor 2(Nrf2)/glutathione peroxidase 4(GPX4)signaling pathway.IPEC-J2 cells were cultured in vitro and treated with ZEN(25 mg/L)and different concentrations of quercetin(10,20,40 μmol/L).Bi-ochemical methods were used to detect the levels of lactate dehydrogenase(LDH)in the cell cul-ture medium supernatant,total antioxidant capacity(T-AOC),superoxide dismutase(SOD),glu-tathione(GSH),and malondialdehyde(MDA).Fluorescence probes were used to detect the levels of Fe2+,reactive oxygen species(ROS),and lipid peroxidation.Western blot was performed to de-tect the expression levels of Nrf2,long chain acyl CoA synthetase 4(ACSL4),and GPX4.The IPEC-J2 cells were divided into the control group,ZEN group,quercetin group,and ML385(Nrf2 inhibitor)+quercetin group for further analysis.Except for the control group,the other groups were treated with ZEN in the prescence of quercetin and ML385.The changes of Nrf2/GPX4 path-way-related proteins and ferroptosis-related indexes(LDH,Fe2+,MDA,and GSH)were detected.Compared with the control group,IPEC-J2 cells in the ZEN group exhibited a decrease in cell via-bility,T-AOC,and GSH,SOD levels,Nrf2,and GPX4 protein expressions(P＜0.05),while LDH release rate,Fe2+and ROS,lipid peroxidation,MDA levels,and ACSL4 protein expression de-creased in the ZEN group(P＜0.05).Compared with ZEN group,the cell viability,the levels of T-AOC,SOD and GSH,the protein expression of Nrf2 and GPX4 in quercetin groups were increased(P＜0.05),while the LDH release rate,the levels of Fe2+,ROS,lipid peroxidation,and MDA as well as the protein expression of ACSL4 were decreased(P＜0.05).Compared with the quercetin group,the protein expression of Nrf2 and GPX4 and the level of GSH in ML385+quercetin group reduced(P＜0.05),the LDH release rate and the levels of Fe2+and MDA increased(P＜0.05).In summary,quercetin could inhibit ZEN-induced ferroptosis of IPEC-J2 cells,and its mechanism may be related to the induction of Nrf2/GPX4 signaling pathway.

Objective:s To investigate the risk factors for delayed encephalopathy after acute carbon monoxide poisoning (DEACMP) in patients with acute carbon monoxide poisoning (ACOP) and to develop predictive models based on machine learning algorithms.Methods:Patients with ACOP hospitalized at the First Affiliated Hospital of Zhengzhou University from August 2019 to October 2024 were included, with the occurrence of DEACMP as the outcome measure. The dataset was randomly divided into training and validation sets at a ratio of 7:3. Lasso regression was used to select features influencing the outcome in training sets. Nine machine learning models—including Random Forest (RF), Extreme Gradient Boosting (XGBoost), and Support Vector Machine (SVM)—were constructed. Receiver operating characteristic (ROC) curves were plotted and the area under the curve (AUC) calculated for each model. Calibration curves were used to assess accuracy, and decision curve analysis (DCA) was applied to evaluate clinical utility. The SHapley Additive exPlanations (SHAP) method was employed to visualize and interpret the best-performing model.Results:A total of 264 ACOP patients were included, of whom 54 (20.5%) developed DEACMP. Lasso regression identified eight key feature variables. Based on these factors, predictive models were constructed, showing good AUC stability across the nine machine learning models in both training (0.92–0.99) and validation sets (0.85–0.91). The RF model performed best, with an AUC of 0.99 in the training set and 0.90 in the validation set; its calibration curve and DCA curve also demonstrated excellent performance. SHAP analysis of the RF model revealed the importance ranking of factors from highest to lowest as follows: Glasgow Coma Scale (GCS) score, duration of coma, age, history of coronary heart disease, CK-MB level, monocyte count, diastolic blood pressure (DBP), and drinking history.Conclusions:The RF model exhibited the highest predictive performance for DEACMP occurrence in ACOP patients. The influencing factors, ranked in order of importance from highest to lowest, are as follows: GCS score, duration of coma, age, history of coronary heart disease, CK-MB level, monocyte count, DBP, and drinking history.

Objective:To analyze the spatiotemporal correlation between the surveillance data of influenza in students reported by medical institutions and school absenteeism due to illness, and evaluate the application of Bayesian Structural Time Series model (BSTS) in the prediction of school influenza epidemic.Methods:A total of 13 schools in Dapeng new district of Shenzhen were selected. The incidence data of influenza in schools in Shenzhen from January 1, 2015 to December 31, 2019 were collected from China Disease Control and Prevention Information System and the illness related school absentence data during this period were collected from Shenzhen Student Health Surveillance System, and the spatiotemporal correlation between the data from two systems was analyzed and compared. BSTS was used to make long-term predictions of the monthly incidence of influenza in students in 2019 and short-term predictions of the weekly incidence of influenza in week 1-8 and week 45-52 of 2019 by using the data from two systems.Results:There was a temporal correlation between the data from China Disease Control and Prevention Information System and the data from Shenzhen Student Health Surveillance System ( r=0.93, P<0.001), and the lag of the former one was 1 day ( r=0.73, P<0.001). Influenza outbreaks were randomly distributed in different schools in Shenzhen, and there was no spatial correlation. The root mean square error ( RMSE) and mean absolute error ( MAE) were 0.35 and 0.28, respectively, in the long-term prediction, and the RMSE was 0.33 and 0.34, and the MAE was 0.26 and 0.28, respectively, in the short-term predictions of week 1-8 and week 45-52 of 2019, respectively, showing good prediction accuracy and fitting effect. Conclusion:By analyzing the data from China Disease Control and Prevention Information System and Shenzhen Student Health Surveillance System with BSTS, the dynamics of the school influenza epidemic can be accurately predicted, and effective technical support can be provided for the early warning and prevention and control of influenza epidemic.

Objective:To analyze the spatiotemporal correlation between the surveillance data of influenza in students reported by medical institutions and school absenteeism due to illness, and evaluate the application of Bayesian Structural Time Series model (BSTS) in the prediction of school influenza epidemic.Methods:A total of 13 schools in Dapeng new district of Shenzhen were selected. The incidence data of influenza in schools in Shenzhen from January 1, 2015 to December 31, 2019 were collected from China Disease Control and Prevention Information System and the illness related school absentence data during this period were collected from Shenzhen Student Health Surveillance System, and the spatiotemporal correlation between the data from two systems was analyzed and compared. BSTS was used to make long-term predictions of the monthly incidence of influenza in students in 2019 and short-term predictions of the weekly incidence of influenza in week 1-8 and week 45-52 of 2019 by using the data from two systems.Results:There was a temporal correlation between the data from China Disease Control and Prevention Information System and the data from Shenzhen Student Health Surveillance System ( r=0.93, P<0.001), and the lag of the former one was 1 day ( r=0.73, P<0.001). Influenza outbreaks were randomly distributed in different schools in Shenzhen, and there was no spatial correlation. The root mean square error ( RMSE) and mean absolute error ( MAE) were 0.35 and 0.28, respectively, in the long-term prediction, and the RMSE was 0.33 and 0.34, and the MAE was 0.26 and 0.28, respectively, in the short-term predictions of week 1-8 and week 45-52 of 2019, respectively, showing good prediction accuracy and fitting effect. Conclusion:By analyzing the data from China Disease Control and Prevention Information System and Shenzhen Student Health Surveillance System with BSTS, the dynamics of the school influenza epidemic can be accurately predicted, and effective technical support can be provided for the early warning and prevention and control of influenza epidemic.

The aim of this study was to investigate the mechanism of quercetin in inhibiting the fer-roptosis induced by zearalenone(ZEN)via mediating the nuclear factor erythroid-2-related factor 2(Nrf2)/glutathione peroxidase 4(GPX4)signaling pathway.IPEC-J2 cells were cultured in vitro and treated with ZEN(25 mg/L)and different concentrations of quercetin(10,20,40 μmol/L).Bi-ochemical methods were used to detect the levels of lactate dehydrogenase(LDH)in the cell cul-ture medium supernatant,total antioxidant capacity(T-AOC),superoxide dismutase(SOD),glu-tathione(GSH),and malondialdehyde(MDA).Fluorescence probes were used to detect the levels of Fe2+,reactive oxygen species(ROS),and lipid peroxidation.Western blot was performed to de-tect the expression levels of Nrf2,long chain acyl CoA synthetase 4(ACSL4),and GPX4.The IPEC-J2 cells were divided into the control group,ZEN group,quercetin group,and ML385(Nrf2 inhibitor)+quercetin group for further analysis.Except for the control group,the other groups were treated with ZEN in the prescence of quercetin and ML385.The changes of Nrf2/GPX4 path-way-related proteins and ferroptosis-related indexes(LDH,Fe2+,MDA,and GSH)were detected.Compared with the control group,IPEC-J2 cells in the ZEN group exhibited a decrease in cell via-bility,T-AOC,and GSH,SOD levels,Nrf2,and GPX4 protein expressions(P＜0.05),while LDH release rate,Fe2+and ROS,lipid peroxidation,MDA levels,and ACSL4 protein expression de-creased in the ZEN group(P＜0.05).Compared with ZEN group,the cell viability,the levels of T-AOC,SOD and GSH,the protein expression of Nrf2 and GPX4 in quercetin groups were increased(P＜0.05),while the LDH release rate,the levels of Fe2+,ROS,lipid peroxidation,and MDA as well as the protein expression of ACSL4 were decreased(P＜0.05).Compared with the quercetin group,the protein expression of Nrf2 and GPX4 and the level of GSH in ML385+quercetin group reduced(P＜0.05),the LDH release rate and the levels of Fe2+and MDA increased(P＜0.05).In summary,quercetin could inhibit ZEN-induced ferroptosis of IPEC-J2 cells,and its mechanism may be related to the induction of Nrf2/GPX4 signaling pathway.

Objective:To analyze the clinical characteristics of patients with acute glyphosate herbicide poisoning and the differences in the severity of poisoning.Methods:A retrospective analysis was performed on patients with acute glyphosate herbicide poisoning admitted to the First Affiliated Hospital of Zhengzhou University from January 2014 to December 2020. The general information, exposure time, poisoning dose, poisoning cause, poisoning route, clinical manifestations, laboratory examination results during hospitalization, treatment measures, hospital stays and prognosis of the patients were collected. The patients were graded according to the poisoning severity scoring standard of Chinese Expert Consensus on Diagnosis and Treatment of Acute Poisoning in 2016. The highest severity score during hospitalization was used as the final grade. According to the final grade, asymptomatic and mild patients were included in the mild group, and moderate, severe and death patients were included in the severe group. The independent sample T test or Mann-Whitney U test was used for measurement data, and χ2 test or Fisher's exact test was used for counting data. The differences of general data and clinical data between the two groups were compared. Results:According to the inclusion and exclusion criteria, 83 patients with acute glyphosate herbicide poisoning were selected as the study subjects. All patients survived, mainly mild poisoning (56.6%), with a male to female ratio of 33∶50, and an average age of 39 years. The number of poisoning cases increased yearly (the highest in 2019), and most cases occurred in spring and summer. The main cause of poisoning was suicide (71.1%), direct oral administration (83.1%) was the primary route of poisoning, and the dominating clinical manifestations were digestive symptoms (71.1%). Laboratory tests showed increased white blood cell count (WBC), neutrophil percentage (NEUT %) and D-dimer, and decreased hemoglobin and potassium. Compared with the mild group, patients in the severe group were older [(51±17) years vs. (35±19) years], had a higher proportion of suicide and direct oral administration, a longer hospital stay [8.0 (4.8, 12.0) d vs. 3.0 (2.0, 5.5) d], a higher dose of poisoning [200.0 (50.0, 200.0) mL vs. 30.0 (11.3, 57.5) mL], and higher NEUT % within 24 h of admission [(83.4±10.4) vs. (73.2±12.8)]. The increase of WBC, NEUT %, aspartate aminotransferase, prothrombin time, D-dimer and the decrease of serum potassium were more common in the severe group than the mild group, with statistical significance (all P<0.05). Conclusions:The number of patients with acute glyphosate herbicide poisoning is increasing yearly. Generally, the condition is mild and the prognosis is satisfying. The severity is more serious in the middle-aged and elderly patients andthose with direct oral administration, high toxic dose, and high NEUT % within 24 h of admission. Severe poisoning is more likely to cause changes in laboratory indicators.

Objective:To investigate the clinical features of patients with anti-N-methyl-D-aspartate receptor (NMDAR) encephalitis misdiagnosed as mental disorder, improve the early diagnosis rate and reduce misdiagnosis.Methods:The clinical data of patients with anti-NMDA receptor encephalitis diagnosed at the First Affiliated Hospital of Zhengzhou University from 2012 to 2018 were collected. Patients misdiagnosed as mental disorders were screened out. Their psychiatric symptom characteristics, disease course characteristics, imaging and laboratory findings, treatment and prognosis were retrospectively analyzed.Results:A total of 121 cases of anti-NMDA receptor encephalitis were collected, and 43 cases of mental disorders were screened out. Sixteen of the 43 patients (37.2%) had prodromal symptoms, and all the patients had psychiatric behavioral abnormalities (100%), including 32 cases (74.4%) of seizures, 13 cases (30.2%) of decreased level of consciousness, 21 cases (48.8%) of involuntary movements, 15 cases (34.9%) of decreased memory, 8 cases (18.6%) of speech dysfunction, and 8 cases (18.6%) of other neurological symptoms (central hyperventilation, autonomic dysfunction). Memory loss was observed in 15 cases (34.9%), speech dysfunction in 8 cases (18.6%), other neurological symptoms (central hypoventilation, autonomic dysfunction) in 8 cases (18.6%), and various symptoms may appear simultaneously or successively in the same patient. Thirty-eight cases had complete resolution of symptoms or only minor physical impairment, and 5 cases had recurrent admissions with mental abnormalities and seizures. The recurrence rate accounted for 11.6% (5/43).Conclusions:The clinical manifestations of anti-NMDA receptor encephalitis are complex and varied. Most of them have mental behavior abnormalities as the first symptom, which is easily misdiagnosed as mental disorder and delayed treatment will lead to prolonged disease course and poor prognosis.

Objective:To establish a colloidal gold technique assay for the rapid detection of immunoglobulin(Ig)M and IgG antibodies against 2019 novel coronavirus (2019-nCoV) and to evaluate its clinical performance.Methods:A total of 278 patients who were respectively treated at Wuhan Hankou Hospital and the People′s Hospital of Honghu from February 12, 2020 to February 20, 2020 were collected. According to the diagnostic criteria, 89 patients were confirmed with positive 2019-nCoV nucleic acid, and 189 were 2019-nCoV nucleic acid-negative suspected patients. A total of 273 medical examiners from Nanfang Hospital, Southern Medical University from 2015 to 2018 were selected as controls. The serum samples of patients were collected. 2019-nCoV nucleic proteins were obtained from prokaryotic expression vectors. Indirect IgM and IgG colloidal gold techniques were established by using recombinant nuclear protein. 2019-nCoV nucleic acid detection by reverse transcription-polymerase chain reaction (RT-PCR) was used as control. Serum specimens were tested for 2019-nCoV IgM and IgG. The specificity and sensitivity of colloidal gold assay were analyzed.Results:The positive rates of IgM and IgG with the colloidal gold detection in confirmed patients with positive 2019-nCoV nucleic acid were 78.7%(70/89) and 73.0%(65/89), respectively. The positive rates of IgM and IgG in medical examiners were 1.8%(5/273) and 0.7%(2/273), respectively. The sensitivity and specificity of IgM detection reagents were 78.7% and 98.2%, respectively, those of IgG detection reagents were 73.0% and 99.3%, respectively, and those of IgM combined with IgG detection were 87.6% and 98.2%, respectively. For suspected patients with negative 2019-nCoV nucleic acid, the positive rates of IgM and IgG were 59.8%(113/189) and 52.9%(100/189), respectively, and the positive rate of IgM combined with IgG detection was 66.1%(125/189).Conclusion:This reagent of 2019-nCoV antibodies detection (colloidal gold technique) fulfills the requirement for clinical application with high specificity and sensitivity, which can be served as a supplementary detection method for 2019-nCoV nucleic acid detection by RT-PCR.

Objective: To establish a colloidal gold technique assay for the rapid detection of immunoglobulin(Ig) M and IgG antibodies against 2019 novel coronavirus (2019-nCoV) and to evaluate its clinical performance. Methods: A total of 278 patients who were treated at Wuhan Hankou Hospital and the People's Hospital of Honghu from February 12, 2020 to February 20, 2020 were collected. According to the diagnostic criteria, 89 patients were confirmed with 2019-nCoV nucleic acid positive diagnosis, and 189 were 2019-nCoV nucleic acid-negative suspected patients. A total of 273 medical examiners from Nanfang Hospital, Southern Medical University from 2015 to 2018 were selected as controls. The serum samples of patients were collected. 2019-nCoV nucleic proteins were obtained from prokaryotic expression vectors. Indirect IgM and IgG colloidal gold techniques were established by using recombinant N protein. 2019-nCoV nucleic acid detection by reverse transcription-polymerase chain reaction (RT-PCR) was used as control. Serum specimens were tested for 2019-nCoV IgM and IgG. The specificity and sensitivity of colloidal gold assay were analyzed. Results: The sensitivity and specificity of IgM detection reagents were 78.7% and 98.2%, respectively, those of IgG detection reagents were 73.0% and 99.3%, respectively, and those of IgM combined with IgG detection were 87.6% and 98.2%, respectively. For suspected patients with negative 2019-nCoV nucleic acid, the positive rates of IgM and IgG were 59.8% (113/189) and 52.9% (100/189), respectively, and the positive rate of IgM combined with IgG detection was 66.1% (125/189). Conclusion This reagent of 2019-nCoV antibodies detection (colloidal gold technique) fulfills the requirement for clinical application with high specificity and sensitivity, which can be served as a supplementary detection method for 2019-nCoV nucleic acid detection by RT-PCR.