Objective To investigate the effect of miR-486-5P on ferroptosis in H9c2 cardiomyocytes after hypoxia/reoxygenation(H/R),and to analyze its mechanism.Methods Using H9c2 cardiomyocytes as the research object,a H/R injury model was established using cobalt chloride(CoCl2)and fresh culture medium.The cells were divided into control group,H/R group,H/R+miR-486-5P mimic NC group,H/R+miR-486-5P mimic group,H/R+miR-486-5P inhibitor NC group and H/R+miR-486-5P inhibitor group.The relative expression level of miR-486-5P was detected by quantitative reverse transcription-polymerase chain reaction(qRT-PCR).The cell viability was detected by CCK-8 method.The activities or levels of lactate dehydrogen-ase(LDH),glutathione(GSH),Fe2+and malondialdehyde(MDA)were detected by colorimetric method.The levels of reactive oxygen species(ROS)and mitochondrial membrane potential(MMP)were detected by DCFH-DA fluorescent probe and JC-1 assay,respectively.Western blot was used to detect the levels of AkT/mTOR signaling pathway proteins and ferroptosis related protein solute carrier family 7 member 11(SLC7A11),glutathione peroxidase 4(GPX4)and acyl-coa synthetase long chain family member 4(ACSL4).Results Compared with the control group,the level of miR-486-5P and cell viability in the H/R group de-creased significantly(P＜0.05),while LDH activity,MDA,Fe2+level,ROS level and ACSL4 protein level in-creased significantly(P＜0.05).The GSH,MMP,SLC7A11 and GPX4 levels and p-Akt/Akt and p-mTOR/mTOR ratios were significantly decreased(P＜0.05).After H/R treatment,compared with the H/R+miR-486-5P mimic NC group,the cell viability of the H/R+miR-486-5P mimic group was significantly increased(P＜0.05).The LDH activity,MDA,Fe2+level,ROS level and ACSL4 protein level were significantly de-creased(P＜0.05),while GSH,MMP,SLC7A11 and GPX4 levels and p-Akt/Akt and p-mTOR/mTOR ratios were significantly increased(P＜0.05).Compared with the H/R+miR-486-5P inhibitor NC group,the trend of the above indicators in the H/R+miR-486-5P inhibitor group was opposite.Conclusion miR-486-5P allevi-ates hypoxia/reoxygenation-induced ferroptosis in H9c2 cells by regulating Akt/mTOR signaling pathway,and thus alleviates hypoxia/reoxygenation induced cardiomyocyte injury.

Objective:To develop a risk prediction model for moderate to severe orthodontic-induced inflammatory root resorption (OIIRR) of maxillary incisors based on cone beam CT (CBCT) radiomics features and clinical characteristics of the orthodontic patients.Methods:Clinical and CBCT data from 101 orthodontic patients treated by the same attending orthodontist in the Department of Orthodontics, Stomatology Hospital of Tianjin Medical University from January 2019 to January 2024 were retrospectively collected. The sample included 42 class Ⅰ patients, 52 class Ⅱ patients and 7 class Ⅲ patients [age: (19.7±6.3) years], and a total of 394 maxillary incisors were analyzed. Potential influencing factors for moderate to severe OIIRR (root volume resorption rate≥10%) were collected from the patients′ CBCT and medical records, including initial age, gender, treatment duration, Angle′s classification, extraction or not, type of orthodontic appliance (fixed or clear aligner), changes in root inclination, root movement distance and direction, pre-treatment cephalometric measurements, pre-treatment root-bone relationship, pre-treatment root length, and pre-treatment radiomics features of the teeth. Univariate analysis was initially performed to screen for factors influencing moderate to severe OIIRR. Subsequently, least absolute shrinkage and selection operator (LASSO) regression, best subset regression, and random forest were used for feature selection to construct the OIIRR risk prediction model. The discrimination, calibration, and net benefit of the three risk prediction models were evaluated, and the optimal model was displayed using a nomogram.Results:LASSO regression identified clinical features including initial age (LASSO coefficient 0.052), treatment duration (LASSO coefficient 0.024), pre-treatment root length (LASSO coefficient -0.023), and vertical root movement distance (LASSO coefficient -0.029). Initial age and treatment duration were positively correlated with the severity of OIIRR, while root length and vertical root movement distance were negatively correlated. A total of 14 radiomics features were identified, including 2 original image features and 12 wavelet features. Best subset regression identified vertical root movement distance as the clinical feature and 7 radiomics features, including 1 original image feature and 6 wavelet features. The random forest model identified 8 wavelet features as important predictors, and all of which were radiomics features. Model performance evaluation showed that the random forest model had the highest discrimination, calibration, and net benefit, making it the optimal model, with radiomics features being the most important predictors.Conclusions:Based on the data from this study, radiomics features were identified as the most important predictors by the optimal model for OIIRR risk prediction. Predicting the occurrence of moderate to severe OIIRR before orthodontic treatment held potential clinical application value.

Objective:To develop a risk prediction model for moderate to severe orthodontic-induced inflammatory root resorption (OIIRR) of maxillary incisors based on cone beam CT (CBCT) radiomics features and clinical characteristics of the orthodontic patients.Methods:Clinical and CBCT data from 101 orthodontic patients treated by the same attending orthodontist in the Department of Orthodontics, Stomatology Hospital of Tianjin Medical University from January 2019 to January 2024 were retrospectively collected. The sample included 42 class Ⅰ patients, 52 class Ⅱ patients and 7 class Ⅲ patients [age: (19.7±6.3) years], and a total of 394 maxillary incisors were analyzed. Potential influencing factors for moderate to severe OIIRR (root volume resorption rate≥10%) were collected from the patients′ CBCT and medical records, including initial age, gender, treatment duration, Angle′s classification, extraction or not, type of orthodontic appliance (fixed or clear aligner), changes in root inclination, root movement distance and direction, pre-treatment cephalometric measurements, pre-treatment root-bone relationship, pre-treatment root length, and pre-treatment radiomics features of the teeth. Univariate analysis was initially performed to screen for factors influencing moderate to severe OIIRR. Subsequently, least absolute shrinkage and selection operator (LASSO) regression, best subset regression, and random forest were used for feature selection to construct the OIIRR risk prediction model. The discrimination, calibration, and net benefit of the three risk prediction models were evaluated, and the optimal model was displayed using a nomogram.Results:LASSO regression identified clinical features including initial age (LASSO coefficient 0.052), treatment duration (LASSO coefficient 0.024), pre-treatment root length (LASSO coefficient -0.023), and vertical root movement distance (LASSO coefficient -0.029). Initial age and treatment duration were positively correlated with the severity of OIIRR, while root length and vertical root movement distance were negatively correlated. A total of 14 radiomics features were identified, including 2 original image features and 12 wavelet features. Best subset regression identified vertical root movement distance as the clinical feature and 7 radiomics features, including 1 original image feature and 6 wavelet features. The random forest model identified 8 wavelet features as important predictors, and all of which were radiomics features. Model performance evaluation showed that the random forest model had the highest discrimination, calibration, and net benefit, making it the optimal model, with radiomics features being the most important predictors.Conclusions:Based on the data from this study, radiomics features were identified as the most important predictors by the optimal model for OIIRR risk prediction. Predicting the occurrence of moderate to severe OIIRR before orthodontic treatment held potential clinical application value.

Objective To investigate the protective effect of insulin-like growth factor-1(IGF-1)precondi-tioning on hypoxic injury in H9c2 rat cardiomyocytes and its mechanism.Methods H9c2 cells were randomly divided into four groups,control group,hypoxia group(CoCl2 group),hypoxia+IGF-1 pretreatment group(CoCl2+IGF-1 group),hypoxia+IGF-1 pretreatment+phosphatidylinositol 3 kinase(PI3K)/protein kinase B(Akt)pathway specific inhibitor LY294002 group(CoCl2+IGF-1+LY294002 group).CCK8 assay was used to detect the survival rate of H9c2 cells,and Tunel assay was used to detect the apoptosis of H9c2 cells,DCFH-DA probe method was used to detect the reactive oxygen species(ROS)level of H9c2 cells in each group.The activities of superoxide dismutase(SOD)and lactate dehydrogenase(LDH)in culture supernatant were detected by kit.The levels of glutathione peroxidase(GSH-Px)and malondialdehyde(MDA)in culture supernatant were detected by enzyme-linked immunosorbent assay(ELISA).Western blot was used to detect the expression of pro-apoptotic protein B cell lymphoma 2 associated X protein(Bax),Caspase-3,anti-apoptot-ic protein Bcl-2,pathway proteins Akt and phosphorylated Akt(p-Akt)in H9c2 cells.Results IGF-1 could increase cell viability(P＜0.05),reduced cell apoptosis rate(P＜0.05),reduced ROS level(P＜0.05),re-duced MDA production(P＜0.05),reduced LDH activity(P＜0.05),and increased SOD and GSH-Px activi-ties(P＜0.05).It also promoted the expression of p-Akt(P＜0.05),reduced the expression of pro-apoptotic proteins Bax and Caspase-3(P＜0.05),and increased the expression of anti-apoptotic protein Bcl-2(P＜0.05).After the addition of PI3K pathway specific inhibitor LY294002,the protective effect of IGF-1 on hy-poxic H9c2 cells disappeared.Conclusion IGF-1 protects cardiomyocytes from hypoxia injury by inhibiting oxidative stress and apoptosis of cardiomyocytes through activating PI3K/Akt pathway and improving the survival rate of cardiomyocytes.

Objective: To understand the oral health status and associated factors of preschool children with disabilities in Bengbu City, so as to provide evidence for preventing dental caries in children with disabilities. Methods: From September 2021 to March 2022, a total of 405 preschool children with disabilities from two rehabilitation institutions in Bengbu were randomly selected for oral health examination, questionnaire survey and physical examination. The caries prevalence rate among disabled children was analyzed. After grouping based on childrens BMI, the correlation between body mass index (BMI) and dental caries among children was explored. Multivariate binary Logistic regression analysis was employed to investigate the factors associated with dental caries occurrence in children. Results: The prevalence of dental caries in preschool children with disabilities was 74.07%, with rates of 71.01% for boys and 77.27% for girls. There was a significant difference in caries prevalence between boys and girls aged 5（66.67%，88.24%） (χ2=7.53, P<0.05). There were significant differences in the dmft index among different BMI groups (underweight: 240, normal weight: 606, overweight:30,obese:60,H=35.66,P<0.05). BMI was negatively correlated with dmft（r=-0.50，P＜0.01）. Frequent tooth brushing (2-3 times daily), the use of fluoride toothpaste, limited intake of sugary foods (< 2 times/d) in the past six months, and exclusively breastfeeding within first six months were negatively correlated with the occurrence of dental caries in disabled children (OR=0.09，0.41，0.24, P＜0.05). Sleep forward to eat，parental education level of junior high school or lower, and parental education of vocational school or high school were positively correlated with dental caries (OR=3.18，5.95，3.99，66.95，7.75，P＜0.05). Conclusions The caries prevalence rate of disabled children in Bengbu City is high and is influenced by multiple factors. It is time to strengthen the oral health training for parents and teachers in educational institutions, pay attention to childrens oral health care, and help disabled children improve their quality of life.

Objective To retrieve,extract,evaluate,and integrate the relevant evidence of postoperative pulmonary rehabilitation management in patients with lung cancer complicated with chronic obstructive pulmonary disease,so as to provide an evidence-based basis for improving the quality of postoperative pulmonary rehabilitation.Methods Relevant literature on postoperative pulmonary rehabilitation of lung cancer complicated with chronic obstructive pulmonary disease were searched by computer from clinical decisions,guideline websites,professional association websites,and comprehensive databases.The types of the literature included clinical decisions,guidelines,expert consensuses,evidence summaries,systematic reviews,meta-analyses,and randomized controlled trials.The retrieval time limit was from the establishment of the database to September 2023.Results A total of 19 articles were included,including 4 clinical decisions,3 guidelines,6 expert consensuses,1 evidence summary,3 systematic reviews,and 2 randomized controlled trials.Through reading,extraction and classification,23 pieces of best evidence were finally formed,including multidisciplinary cooperation,evaluation,pulmonary rehabilitation strategies and health education.Conclusion This study summarizes the best evidence for postoperative lung rehabilitation management in patients with lung cancer and chronic obstructive pulmonary disease.Clinical medical staff can implement practical evidence for postoperative lung rehabilitation based on actual situations,and promote the transformation of evidence-based knowledge into practice.

Objective To analyze the epidemiological characteristics of syphilis in Yangzhou City from 2013 to 2023, to understand the syphilis epidemic trends, and provide a scientific basis for formulating prevention and control strategies. Methods Syphilis case reports in Yangzhou City from 2013 to 2023 were collected through the infectious disease surveillance module of the Chinese Center for Disease Control and Prevention Information System. The annual average reported incidence rate and annual average growth rate were calculated. Descriptive epidemiological methods were employed to analyze the overview of syphilis and its temporal, geographical and demographic distribution characteristics. Linear trend chi-square tests were conducted to analyze the syphilis epidemic trends. Results A total of 19, 457 syphilis cases were reported in Yangzhou City from 2013 to 2023, with an annual average reported incidence rate of 39.17/100, 000. The overall incidence of syphilis showed an upward trend, with the reported incidence rate increasing from 37.26/100, 000 in 2013 to 43.27/100, 000 in 2023 (χ²= 50.528, P < 0.001), representing an annual average growth rate of 1.51%. The majority of reported cases were latent syphilis, accounting for 64.99% (12, 646/19, 457). The number of reported cases of primary, secondary and congenital syphilis revealed an overall decreased trend, while the number of reported cases of tertiary and latent syphilis increased trend. There was no significant seasonality or periodicity in the reported incidence rate of syphilis in Yangzhou City from 2013 to 2023. The top three districts with the highest annual average reported incidence rates were the Development District, Guangling District and Hanjiang District, with incidence rates of 50.93/100, 000, 50.89/100, 000 and 43.18/100, 000, respectively. There were 10, 290 male syphilis cases (52.89%) and 9, 167 female syphilis cases (47.11%). The top three occupations were farmers (8, 682 cases), homemakers and unemployed individuals (5, 379 cases) and retired personnel (2, 559 cases), accounting for 85.42% (16, 620/19, 457) of the reported cases. Conclusion The incidence of syphilis in Yangzhou City generally shows an upward trend, and the disease epidemic spectrum changes annually, with latent syphilis currently being the primary form. The prevention and control situation is severe. Therefore, syphilis prevention and control efforts should be further strengthened to block its transmission and prevalence.

Objective:This study aimed to explore whether there are abnormalities in the kynurenine pathway in patients with depression and suicidal ideation, and their dynamic relationship with clinical symptoms.Methods:According to the DSM-5 diagnostic criteria, a total of 68 patients with depression were prospectively enrolled, including 28 males and 40 females, aged( M ( Q1, Q3)) 22.0 (17.3, 47.8) years, who were the inpatients in the Division of Mood Disorders of Shanghai Mental Health Center from July 2019 to July 2022. The depressed patients were divided into groups with ( n=41) or without suicidal ideation ( n=27) based on whether they chose "weak" or "moderate to strong" suicidal ideation in questions 4 and 5 of the Beck Scale for Suicide Ideation (BSI). And 72 gender-matched healthy controls were also enrolled, including 29 males and 43 females, aged 25.5 (24.0, 36.8) years. Hamilton Depression Rating Scale-24 (HAMD 24), Hamilton Anxiety Rating Scale (HAMA), and BSI were used to evaluate the depression symptoms, anxiety symptoms, and suicidal ideation of depressed patients. All the participants received fasting venous blood collection to measure the levels of kynurenine metabolites in plasma. Among them, depressed patients with suicidal ideation were followed up, and the assessment s of depression symptoms, anxiety symptoms, and suicidal ideation, as well as kynurenine metabolites measurements, were repeated at the end of the 2nd and 4th weeks. Ultra-high performance liquid chromatography-triple quadrupole mass spectrometry was used to measure the levels of kynurenine metabolites in plasma. The hematological indicators were log-transformed, Z-score standardized, and false discovery rate correction was used for multiple comparisons of different metabolites. The relationship between baseline kynurenine metabolites and scale scores was analyzed. The relationship between kynurenine metabolites and scale scores during the follow-up process was analyzed by a linear mixed-effects model. Results:The peripheral picolinic acid (0.39±0.87 vs -0.23±1.09, t=3.89), 3-hydroxykynurenine/kynurenine (3-HK/KYN) (0.38±0.85 vs -0.09±1.01, t=2.98) and 3-HK (0.31±0.81 vs 0.14±1.04, t=2.78) of patients with depression were lower than those of healthy controls (both P<0.05). No statistically significant difference was found between patients with depression with or without suicidal ideation in kynurenine metabolites. In patients with depression and suicidal ideation, baseline HAMD 24 and HAMA scores were positively correlated with plasma 3-HK (HAMD 24: r=0.38; HAMA: r=0.39) and 3-HK/KYN (HAMD 24: r=0.34; HAMA: r=0.37) levels (all P<0.05). After adjusting for age and gender factors, a linear mixed-effects model was established for the follow-up scale scores, and kynurenine metabolite levels of this group of patients, and the results showed that the positive effect of HAMA score on 3-HK/KYN during follow-up was statistically significant ( B=0.04, t=2.46, P<0.05). Conclusion:There are abnormalities in the kynurenine pathway of tryptophan metabolism in patients with depression. 3-HK and 3-HK/KYN are related to the severity of depression and anxiety in patients with depression and suicidal ideation, among which 3-HK/KYN, representing the activity of kynurenine-3-monooxygenase, is dynamically associated with anxiety level.

Objective:To analyze the influencing factors of incision infection in patients undergoing colorectal cancer surgery under the standards of enhanced recovery after surgery, to establish a prediction model for the risk of postoperative incision infection and to evaluate its efficacy, providing a reference for surgical site caring of colorectal cancer patients under enhanced recovery after surgery precisely.Methods:A cross-sectional survey was used, 285 patients who underwent colorectal tumor surgery in the Department of Gastrointestinal Surgery of the First Affiliated Hospital of Xinjiang Medical University and the First Department of Gastrointestinal Surgery and the Second Department of Gastrointestinal Surgery of Xinjiang Uygur Autonomous Region Cancer Hospital from July 2023 to January 2024 were prospectively selected as the study subjects by the convenience sampling method, 225 cases were used as the modeling group and 60 cases were selected as the external validation group. The preoperative data, intraoperative data and postoperative data of subjects were collected. Postoperative incision infection was taken as the outcome index. Univariate analysis and multivariate Logistic regression analysis were used to screen the independent risk factors of postoperative incision infection of patients with colorectal tumors, and drew a nomogram, Hosmer-Lemeshow test and receiver operating characteristic (ROC) curve were used to verify the model.Results:The modeling group consisted of 131 males and 94 females aged (58.42 ± 16.24) years old. There were 35 males and 25 females in the external validation group, with an age of (57.16 ± 16.28) years. Multivariate analysis showed that malnutrition ( OR=6.614, 95% CI 2.008-21.789), length of hospital stay ( OR=1.058, 95% CI 1.004-1.114), interleukin-6 ( OR=1.041, 95% CI 1.021-1.062), and lymphocyte count ( OR=0.275, 95% CI 0.093-0.813) were independent risk factors for incision infection (all P<0.05). The area under the ROC curve of the modeling group was 0.921, the 95% CI was 0.754-0.902, the optimal cut-off value was 0.461, the sensitivity was 0.782, and the specificity was 0.785, concordance index of calibration curve was 0.971. External validation results showed that area under the ROC curve was 0.828, the 95% CI was 0.754-0.902, the optimal cut-off value was 0.438, the sensitivity was 0.745 and the specificity was 0.783. Conclusions:Under the enhanced recovery after surgery, the risk prediction model established in this study has good effect in predicting postoperative incision infection, which can provide a reference for early identification of high-risk patients with postoperative incision infection after colorectal cancer surgery.

Objective:To analyze the influencing factors of incision infection in patients undergoing colorectal cancer surgery under the standards of enhanced recovery after surgery, to establish a prediction model for the risk of postoperative incision infection and to evaluate its efficacy, providing a reference for surgical site caring of colorectal cancer patients under enhanced recovery after surgery precisely.Methods:A cross-sectional survey was used, 285 patients who underwent colorectal tumor surgery in the Department of Gastrointestinal Surgery of the First Affiliated Hospital of Xinjiang Medical University and the First Department of Gastrointestinal Surgery and the Second Department of Gastrointestinal Surgery of Xinjiang Uygur Autonomous Region Cancer Hospital from July 2023 to January 2024 were prospectively selected as the study subjects by the convenience sampling method, 225 cases were used as the modeling group and 60 cases were selected as the external validation group. The preoperative data, intraoperative data and postoperative data of subjects were collected. Postoperative incision infection was taken as the outcome index. Univariate analysis and multivariate Logistic regression analysis were used to screen the independent risk factors of postoperative incision infection of patients with colorectal tumors, and drew a nomogram, Hosmer-Lemeshow test and receiver operating characteristic (ROC) curve were used to verify the model.Results:The modeling group consisted of 131 males and 94 females aged (58.42 ± 16.24) years old. There were 35 males and 25 females in the external validation group, with an age of (57.16 ± 16.28) years. Multivariate analysis showed that malnutrition ( OR=6.614, 95% CI 2.008-21.789), length of hospital stay ( OR=1.058, 95% CI 1.004-1.114), interleukin-6 ( OR=1.041, 95% CI 1.021-1.062), and lymphocyte count ( OR=0.275, 95% CI 0.093-0.813) were independent risk factors for incision infection (all P<0.05). The area under the ROC curve of the modeling group was 0.921, the 95% CI was 0.754-0.902, the optimal cut-off value was 0.461, the sensitivity was 0.782, and the specificity was 0.785, concordance index of calibration curve was 0.971. External validation results showed that area under the ROC curve was 0.828, the 95% CI was 0.754-0.902, the optimal cut-off value was 0.438, the sensitivity was 0.745 and the specificity was 0.783. Conclusions:Under the enhanced recovery after surgery, the risk prediction model established in this study has good effect in predicting postoperative incision infection, which can provide a reference for early identification of high-risk patients with postoperative incision infection after colorectal cancer surgery.