Myocardial infarction (MI) is the leading cause of cardiovascular disease-related death worldwide. Nonetheless, existing therapeutic approaches for MI are hampered by issues such as reliance on pharmacological agents and suboptimal patient adherence. Caffeic acid (CA) is a bioactive polyphenolic compound with important anti-inflammatory, anti-bacterial and anti-oxidant functions. Still, its specific role and mechanism in treating cardiovascular disease remain to be further studied. In recent years, a large number of studies have shown that the kelch-like ECH-associated protein 1/nuclear factor erythroid 2 related factor 2 (Keap1/Nrf2) pathway is a key factor in the occurrence and development of cardiovascular diseases. In this study, H₂O₂-induced oxidative stress model of H9c2 cells and left anterior descending branch (LAD) conjunctival induced acute myocardial infarction reperfusion (AMI/R) model were used to evaluate the protective effect of CA on the heart. The interaction between CA and Keap1 was analyzed by CA-labeled fluorescence probe, target fishing, isothermal titration calorimetry (ITC), protein crystallography and surface plasmon resonance (SPR). Our results suggested that CA binds Keap1 and degrades Keap1 in a p62-dependent manner, further promoting nuclear transcription of Nrf2 and thus effectively reducing oxidative stress. In addition, based on the three-dimensional eutectic structure, it was confirmed that CA directly targets Keap1 protein by interacting with residues M550 and N532, inducing conformation changes in Keap1 protein. We also found that the CA analog chlorogenic acid (GCA) can bind Keap1. In conclusion, this study elucidates a novel molecular mechanism and structural basis for the protective effects of CA against oxidative damage via the Keap1-Nrf2 pathway.

Objective To construct a risk prediction model for liver cancer in patients with chronic hepatitis C based on seven different machine learning algorithms and select the optimal model. Methods A total of 236 patients with chronic hepatitis C were selected as the research subjects. Patients were divided into a case group and a control group according to whether liver cancer occurs. Prediction models were constructed based on seven machine learning algorithms including classification and regression tree, random forest, gradient boosting decision tree, extreme gradient boosting (XGBoost), logistic regression, K-near neighbor, and support vector machine. The Shapley additive explanations (SHAP) algorithm was used to interpret the best prediction model. Results Among the seven models, the XGBoost model had the best comprehensive prediction performance (accuracy of 0.933, sensitivity of 0.775, specificity of 0.960, area under the ROC curve of 0.956, F1 score of 0.764). The SHAP algorithm suggested that AFP, age, AST, diabetes, BMI, PLT, ALT, liver cysts, FIB-4, and gender contributed to the model decision and are the risk factors for liver cancer in patients with chronic hepatitis C. Conclusion This study develops an interpretable machine learning model based on the XGBoost algorithm, which has a good reference value for individualized monitoring of liver cancer in patients with chronic hepatitis C.

Objective:To understand the impact of diet on glycemic control in community-managed patients with type 2 diabetes mellitus (T2DM) and provide evidence for implementing prevention strategies and measures for diabetes patients.Methods:Eight communities were randomly selected from Changshu and Wuhan in 2015, and T2DM patients managed in the community were selected to conduct questionnaire surveys, physical measurements, and blood glucose testing. Factor analysis was used to obtain dietary patterns. A binary logistic regression model was used to analyze the factors affecting glycemic control.Results:Finally, 1 818 T2DM patients were included, and the control rate of FPG was 57.59% (95% CI: 55.30%-59.86%), and the control rate of 2 h postprandial blood glucose (2 h PBG) was 24.90% (95% CI: 22.93%- 26.91%). Five dietary patterns were obtained by factor analysis: animal food pattern, fruit-aquatic products-potato patterns, vegetable-grain pattern, egg-milk-bean pattern, and oil-salt patterns. No-conditional multivariate logistic regression analysis showed that after adjusting for confounding factors, the reduced probability of FPG control was related to animal food pattern ( OR=0.71, 95% CI: 0.52-0.98) and fruit-aquatic products-potato patterns ( OR=0.71, 95% CI: 0.51-0.97). The decrease in the 2 h PBG control probability was related to fruit-aquatic products-potato patterns ( OR=0.60, 95% CI: 0.40-0.90). The increased probability of FPG and 2 h postprandial glucose control were both related to vegetable-grain pattern ( OR=1.41, 95% CI: 1.03-1.94; OR=1.68, 95% CI: 1.13-2.51) and egg-milk-bean pattern ( OR=1.75, 95% CI: 1.25-2.46; OR=1.56, 95% CI: 1.00-2.42). Compared with the Q4 group of egg-milk-bean pattern, the FPG control rate of the combination of "fruit-aquatic products-potato pattern ( Q4 group), vegetable-grain pattern ( Q2 group), egg-milk-bean pattern ( Q3 group)" was higher ( OR=6.79, 95% CI: 1.15-40.23, P=0.035). Compared with the Q4 group of vegetable-grain pattern, the combination of "fruit-aquatic products-potato pattern ( Q4 group), vegetable-grain pattern ( Q3 group), egg-milk-bean pattern ( Q2 group), oil-salt pattern ( Q2 group)" had higher control rate of 2 h PBG ( OR=12.78, 95% CI: 1.26-130.05, P=0.031). Conclusions:A proper combination of dietary patterns and dietary patterns are more conducive to the control of FPG and 2 h PBG in T2DM patients managed in the communities of Wuhan and Changshu. Patient nutrition education should be strengthened, and the food-matching ability of patients should be improved.

OBJECTIVE To mine and analyze the post-marketing adverse drug event （ADE） signals of irinotecan in adults and children populations， and to provide a reference for clinical safe medication. METHODS ADE reports of irinotecan from the first quarter of 2004 to the first quarter of 2023 in the US FDA adverse event reporting system database were extracted and the risk signals of irinotecan were detected through the reporting odds ratio and proportional reporting ratio. Statistical analysis was performed for ADE reports and signals of patients aged＜18 years （children） and ≥18 years （adults）. RESULTS A total of 8 013 ADE reports with irinotecan as the primary suspect drug were identified， including 7 656 and 357 ADE reports in adults and children， respectively. A total of 518 and 75 ADE signals were detected in the adults and children， and the mainly involved systems and organs including gastrointestinal disorders， blood and lymphatic system disorders， systemic disorders and various reactions at the administration site， etc. Most of the top 20 ADE signals in terms of frequency were documented in the drug instructions of irinotecan. New ADE signals in adults included peripheral neuropathy， oral mucosal inflammation， pulmonary embolism， epidermal nevus syndrome and reproductive toxicity， while hypertension， progressive neoplasms， tumor lysis syndromes， and embolism were new ADE signals in children. CONCLUSIONS The above new suspected high-risk signals not mentioned in the instructions should raise a high level of alertness in clinical practice of irinotecan.

OBJECTIVE To mine and analyze the post-marketing adverse drug event （ADE） signals of irinotecan in adults and children populations， and to provide a reference for clinical safe medication. METHODS ADE reports of irinotecan from the first quarter of 2004 to the first quarter of 2023 in the US FDA adverse event reporting system database were extracted and the risk signals of irinotecan were detected through the reporting odds ratio and proportional reporting ratio. Statistical analysis was performed for ADE reports and signals of patients aged＜18 years （children） and ≥18 years （adults）. RESULTS A total of 8 013 ADE reports with irinotecan as the primary suspect drug were identified， including 7 656 and 357 ADE reports in adults and children， respectively. A total of 518 and 75 ADE signals were detected in the adults and children， and the mainly involved systems and organs including gastrointestinal disorders， blood and lymphatic system disorders， systemic disorders and various reactions at the administration site， etc. Most of the top 20 ADE signals in terms of frequency were documented in the drug instructions of irinotecan. New ADE signals in adults included peripheral neuropathy， oral mucosal inflammation， pulmonary embolism， epidermal nevus syndrome and reproductive toxicity， while hypertension， progressive neoplasms， tumor lysis syndromes， and embolism were new ADE signals in children. CONCLUSIONS The above new suspected high-risk signals not mentioned in the instructions should raise a high level of alertness in clinical practice of irinotecan.

Objective To monitor the antifungal resistance of clinical isolates of Candida spp.in the East China region.Methods MALDI-TOF MS or molecular methods were used to re-identify the strains collected from January 2018 to December 2022.Antifungal susceptibility testing was performed using the broth microdilution method.The susceptibility test results were interpreted according to the breakpoints of 2022 Clinical and Laboratory Standards Institute(CLSI)documents M27 M44s-Ed3 and M57s-Ed4.Results A total of 3 026 strains of Candida were collected,65.33％of which were isolated from sterile body sites,mainly from blood(38.86％)and pleural effusion/ascites(10.21％).The predominant species of Candida were Candida albicans(44.51％),followed by Candida parapsilosis complex(19.46％),Candida tropicalis(13.98％),Candida glabrata(10.34％),and other Candida species(0.79％).Candida albicans showed overall high susceptibility rates to the 10 antifungal drugs tested(the lowest rate being 93.62％).Only 2.97％of the strains showed dose-dependent susceptibility(SDD)to fluconazole.Candida parapsilosis complex had a SDD rate of 2.61％and a resistance rate of 9.42％to fluconazole,and susceptibility rates above 90％to other drugs.Candida glabrata had a SDD rate of 92.01％and a resistance rate of 7.99％to fluconazole,resistance rates of 32.27％and 48.24％to posaconazole and voriconazole non-wild-type strains(NWT),respectively,and susceptibility rates above 90％to other drugs.Candida tropicalis had resistance rates of 29.55％and 26.24％to fluconazole and voriconazole,respectively,resistance rates of 76.60％and 21.99％to posaconazole and echinocandins non-wild-type strains(NWT),and a resistance rate of 2.36％to echinocandins.Conclusions The prevalence and species distribution of Candida spp.in the East China region are consistent with previous domestic and international reports.Candida glabrata exhibits certain degree of resistance to fluconazole,while Candida tropicalis demonstrates higher resistance to triazole drugs.Additionally,echinocandins resistance has emerged in Candida albicans,Candida glabrata,Candida tropicalis,and Candida parapsilosis.

Objective:To investigate the effects of nutritional support on chemotherapeutic efficacy and safety in patients with acute myeloid leukemia.Methods:A total of 130 patients with acute myeloid leukemia who received treatment in Lishui Municipal Central Hospital from January 2021 to December 2021 were included in this study. They were divided into a control group and an observation group ( n = 65/group) according to different nutritional support methods. Patients in the control group were given routine intervention, while patients in the observation group were given nutritional support based on routine intervention. These two interventions were administered till 1 month after chemotherapy. Chemotherapeutic efficacy and safety were compared between the two groups. Results:Total response rate in the observation group was significantly higher than that in the control group [92.3% (60/65) vs. 78.5% (51/65), Z = 4.91, P < 0.05]. After chemotherapy, waist-to-hip ratio, arm girth, and body mass index in the observation group were (0.9 ± 0.1), (25.7 ± 1.2) cm, (21.9 ± 2.1) kg/m 2, respectively, which were significantly greater than (0.8 ± 0.1), (24.4 ± 1.1) cm, (20.6 ± 2.1) kg/m 2 in the control group, respectively ( t = 4.13, 6.63, 3.64, all P < 0.05). Transferrin, albumin, prealbumin, and total serum protein in the observation group were (1.4 ± 0.3) g/L, (27.5 ± 3.1) g/L, (171.3 ± 11.3) mg/L, and (61.2 ± 4.3) g/L, respectively, which were significantly higher than (1.3 ± 0.3) g/L, (25.2 ± 2.9) g/L, (154.3 ± 10.3) mg/L, (56.6 ± 4.0) g/L respectively in the control group ( t = 2.24, 4.48, 8.93, 6.31, all P < 0.05). The scores of emotional state, social status, role cognition, and somatic perception in the observation group were (57.5 ± 4.6) points, (64.5 ± 3.8) points, (56.5 ± 4.1) points, (62.0 ± 4.2) points, which were significantly higher than (47.9 ± 4.2) points, (56.4 ± 3.2) points, (47.7 ± 4.5) points, (55.5 ± 5.4) points in the control group ( t = 12.34, 13.04, 11.55, 7.65, all P < 0.05). The total incidence of adverse reactions in the observation group was 9.2% (6/65), which was significantly lower than 24.6% (16/65) in the control group ( χ2 = 4.43, P < 0.05). Conclusion:Nutritional support can substantially improve chemotherapeutic efficacy in the treatment of acute myeloid leukemia, decrease the incidence of adverse reactions, and is safe. Therefore, nutritional support for patients with acute myeloid leukemia deserves clinical promotion.

Objective: To explore the effects of grandparent involvement in parenting on health related behaviors among urban preschool children, so as to provide a basis for the development of interventions for unhealthy behaviors among preschool children with different parenting pattern. Methods: A total of 5 431 preschool children aged 3-6 years old in Xinbei District, Changzhou City, were selected by census method during January to October, 2022. General household characteristics and health related behaviors of children were investigated by questionnaires, and the differences in health related behaviors with different parenting pattern involving grandparents were explored by the χ 2 test. A multifactorial Logistic regression model was used to analyze the effects of grandparenting on preschool children s health behaviors. Results: About 51.2% of preschoolers were raised by both parents, 46.1 % were co parented by grandparents, and 2.7% were raised by grandparents. After multifactorial Logistic regression analysis controlling for age, gender, annual household income, and family structure, children co parented by grandparents had a reduced risk of screen exposure time>1 h/d ( OR =0.79, P <0.05), with increased risks of outdoor activity time<2 h/d ( OR =1.30, P < 0.05 ), sleep duration <10 h/d ( OR =1.31, P <0.05), sleep difficulties ( OR =1.39, P <0.05) and adverse eating behaviors ( OR =1.20， P < 0.05), compared with children parented by both parents. Children raised by grandparents were at increased risk for outdoor activity time<2 h/d ( OR =2.19) and unhealthy eating behaviors ( OR =1.39) ( P <0.05). Conclusions Compared with children raised by both parents, the incidence of unhealthy behaviors is increased in children raised by parents and grandparents and in children raised by full grandparents. Active intervention should be focused on unhealthy behaviors of preschool children with pareting involving grandparents to promote the physical and mental health of preschool children.