Cardiovascular disease remains the leading cause of death in China, with its morbidity and mortality continue to rise. Ferroptosis, a unique form of iron-dependent cell death, plays a major role in many heart diseases. The classical mechanisms of ferroptosis include iron metabolism disorder, oxidative antioxidant imbalance and lipid peroxidation. Recent studies have found many additional mechanisms of ferroptosis, such as coenzyme Q10, ferritinophagy, lipid autophagy, mitochondrial metabolism disorder, and the regulation by nuclear factor erythroid 2-related factor 2 (NRF2). This article reviews recent advances in understanding the mechanisms of ferroptosis and its role in heart failure, myocardial ischemia/reperfusion injury, diabetic cardiomyopathy, myocardial toxicity of doxorubicin, septic cardiomyopathy, and arrhythmia. Furthermore, we discuss the potential of ferroptosis inhibitors/inducers as therapeutic targets for heart diseases, suggesting that ferroptosis may be an important intervention target of heart diseases.
Ferroptosis/physiology* ; Humans ; Heart Diseases/physiopathology* ; NF-E2-Related Factor 2/physiology* ; Animals ; Myocardial Reperfusion Injury/physiopathology* ; Lipid Peroxidation ; Heart Failure/physiopathology* ; Iron/metabolism* ; Diabetic Cardiomyopathies/physiopathology* ; Ubiquinone/analogs & derivatives*

The AP2/ERF transcription factor family is a class of transcription factors widely present in plants, playing a crucial role in regulating flowering, flower development, flower opening, and flower senescence. Based on transcriptome data from flower, leaf, and stem samples of two Lonicera macranthoides varieties, 117 L. macranthoides AP2/ERF family members were identified, including 14 AP2 subfamily members, 61 ERF subfamily members, 40 DREB subfamily members, and 2 RAV subfamily members. Bioinformatics and differential gene expression analyses were performed using NCBI, ExPASy, SOMPA, and other platforms, and the expression patterns of L. macranthoides AP2/ERF transcription factors were validated via qRT-PCR. The results indicated that the 117 LmAP2/ERF members exhibited both similarities and variations in protein physicochemical properties, AP2 domains, family evolution, and protein functions. Differential gene expression analysis revealed that AP2/ERF transcription factors were primarily differentially expressed in the flowers of the two L. macranthoides varieties, with the differentially expressed genes mainly belonging to the ERF and DREB subfamilies. Further analysis identified three AP2 subfamily genes and two ERF subfamily genes as potential regulators of flower development, two ERF subfamily genes involved in flower opening, and two ERF subfamily genes along with one DREB subfamily gene involved in flower senescence. Based on family evolution and expression analyses, it is speculated that AP2/ERF transcription factors can regulate flower development, opening, and senescence in L. macranthoides, with ERF subfamily genes potentially serving as key regulators of flowering duration. These findings provide a theoretical foundation for further research into the specific functions of the AP2/ERF transcription factor family in L. macranthoides and offer important theoretical insights into the molecular mechanisms underlying floral phenotypic differences among its varieties.
Plant Proteins/chemistry* ; Gene Expression Regulation, Plant ; Transcription Factors/chemistry* ; Lonicera/classification* ; Flowers/metabolism* ; Phylogeny ; Gene Expression Profiling ; Multigene Family

General anesthesia, pivotal for surgical procedures, requires precise depth monitoring to mitigate risks ranging from intraoperative awareness to postoperative cognitive impairments. Traditional assessment methods, relying on physiological indicators or behavioral responses, fall short of accurately capturing the nuanced states of unconsciousness. This study introduces a machine learning-based approach to decode anesthesia depth, leveraging EEG data across different anesthesia states induced by propofol and esketamine in rats. Our findings demonstrate the model's robust predictive accuracy, underscored by a novel intra-subject dataset partitioning and a 5-fold cross-validation method. The research diverges from conventional monitoring by utilizing anesthetic infusion rates as objective indicators of anesthesia states, highlighting distinct EEG patterns and enhancing prediction accuracy. Moreover, the model's ability to generalize across individuals suggests its potential for broad clinical application, distinguishing between anesthetic agents and their depths. Despite relying on rat EEG data, which poses questions about real-world applicability, our approach marks a significant advance in anesthesia monitoring.
Animals ; Machine Learning ; Electroencephalography/methods* ; Ketamine/administration & dosage* ; Rats ; Male ; Propofol/administration & dosage* ; Rats, Sprague-Dawley ; Anesthesia, General/methods* ; Brain/physiology* ; Intraoperative Neurophysiological Monitoring/methods*

Radiochemotherapy-induced oral mucositis (OM) is a common oral complication in patients with tumors following head and neck radiotherapy or chemotherapy. Erosion and ulcers are the main features of OM that seriously affect the quality of life of patients and even the progress of tumor treatment. To date, differences in clinical prevention and treatment plans for OM have been noted among doctors of various specialties, which has increased the uncertainty of treatment effects. On the basis of current research evidence, this expert consensus outlines risk factors, clinical manifestations, clinical grading, ancillary examinations, diagnostic basis, prevention and treatment strategies and efficacy indicators for OM. In addition to strategies such as basic oral care, anti-inflammatory and analgesic agents, anti-infective agents, pro-healing agents, and photobiotherapy recommended in previous guidelines, we also emphasize the role of traditional Chinese medicine in OM prevention and treatment. This expert consensus aims to provide references and guidance for dental physicians and oncologists in formulating strategies for OM prevention, diagnosis, and treatment, standardizing clinical practice, reducing OM occurrence, promoting healing, and improving the quality of life of patients.
Humans ; Chemoradiotherapy/adverse effects* ; Consensus ; Risk Factors ; Stomatitis/etiology*

OBJECTIVE: This study aimed to explore the association between body mass index (BMI) and mortality based on the 10-year population-based multicenter prospective study. METHODS: A general population-based multicenter prospective study was conducted at four sites in rural China between 2013 and 2023. Multivariate Cox proportional hazards models and restricted cubic spline analyses were used to assess the association between BMI and mortality. Stratified analyses were performed based on the individual characteristics of the participants. RESULTS: Overall, 19,107 participants with a sum of 163,095 person-years were included and 1,910 participants died. The underweight (< 18.5 kg/m ²) presented an increase in all-cause mortality (adjusted hazards ratio [ aHR] = 2.00, 95% confidence interval [ CI]: 1.66-2.41), while overweight (≥ 24.0 to < 28.0 kg/m ²) and obesity (≥ 28.0 kg/m ²) presented a decrease with an aHR of 0.61 (95% CI: 0.52-0.73) and 0.51 (95% CI: 0.37-0.70), respectively. Overweight ( aHR = 0.76, 95% CI: 0.67-0.86) and mild obesity ( aHR = 0.72, 95% CI: 0.59-0.87) had a positive impact on mortality in people older than 60 years. All-cause mortality decreased rapidly until reaching a BMI of 25.7 kg/m ² ( aHR = 0.95, 95% CI: 0.92-0.98) and increased slightly above that value, indicating a U-shaped association. The beneficial impact of being overweight on mortality was robust in most subgroups and sensitivity analyses. CONCLUSION This study provides additional evidence that overweight and mild obesity may be inversely related to the risk of death in individuals older than 60 years. Therefore, it is essential to consider age differences when formulating health and weight management strategies.
Humans ; Body Mass Index ; China/epidemiology* ; Male ; Female ; Middle Aged ; Prospective Studies ; Rural Population/statistics & numerical data* ; Aged ; Follow-Up Studies ; Adult ; Mortality ; Cause of Death ; Obesity/mortality* ; Overweight/mortality*

Objective:To evaluate the value of 18F-FDG PET metabolic parameters in predicting histopathological grade of soft tissue sarcoma (STS). Methods:From December 2012 to December 2021, 51 patients (26 males, 25 females, age range: 32-84 years) who underwent 18F-FDG PET/CT imaging before treatment and confirmed STS pathologically in the First Affiliated Hospital of Dalian Medical University were retrospectively collected. 18F-FDG PET metabolic parameters SUV max, metabolic tumor volume (MTV), total lesion glycolysis (TLG) and intertumoral FDG uptake heterogeneity (IFH) were measured. Kruskal-Wallis rank sum test was used to analyze the differences in metabolic parameters among different groups and Spearman rank correlation analysis was used to analyze the correlation of each metabolic parameter and histological grade. Logistic regression was used to screen and construct the prediction model for high-grade STS. ROC curve was plotted and Delong test was used to analyze the differences among AUCs. Results:The metabolic parameters SUV max, MTV, TLG and IFH were significantly different among French Federation of Cancer Centers Sarcoma Group (FNCLCC)Ⅰ( n=8), Ⅱ( n=10) and Ⅲ ( n=33) grade groups ( H values: 16.24, 10.52, 19.29 and 16.99, all P<0.05), and each metabolic parameter was positively correlated with histological grade ( rs values: 0.58, 0.45, 0.52, and 0.62, all P<0.05). Multivariate logistic regression analysis showed that SUV max(odds ratio ( OR)=1.27, 95% CI: 1.06-1.51, P=0.009) and IFH ( OR=6.83, 95% CI: 1.44-32.27, P=0.015) were independent risk indicators for high-grade STS. The prediction model constructed by combining SUV max and IFH had better diagnostic efficacy for differentiating high-grade STS with the AUC of 0.93, and the sensitivity of 93.9%(31/33) and the specificity of 16/18, respectively. The AUC of prediction model was significant different from SUV max, MTV, TLG and IFH (AUCs: 0.81, 0.78, 0.86 and 0.85; z values: 2.69, 2.53, 1.94 and 1.97, all P<0.05). Conclusions:The metabolic parameters SUV max, MTV, TLG and IFH are valuable predictors for histological grade of STS. The combination of SUV max and IFH may be a more meaningful method than using each of the above metabolic parameters alone.

Objective:To investigate the correlation between 25-hydroxyvitamin D3 (25 (OH) D3), insulin-like growth factor 1 (IGF-1) and glycolipid metabolism in patients with diabetes 2 mellitus (T2DM), as well as their predictive value in retinopathy.Methods:A total of 120 T2DM patients admitted to Linyi Central Hospital of Shandong Province from Oct. 2020 to Oct.r 2023 were selected as the study objects (defined as the study group). Another 120 healthy volunteers who underwent physical examination in our hospital during the same period were selected as the control group. Serum 25 (OH) D3, IGF-1, fasting blood glucose (FBG), 2 h plasma glucose (2 hPG) ) and lipid levels (triglycerides) were compared between the two groups. The levels of TG, total cholesterol (TC) and serum 25 (OH) D3 and IGF-1 were analyzed by Pearson correlation analysis. At the same time, the patients in the study group were divided into diabetic group with retinopathy (DR Group, 40 cases) and non-retinopathy group (NDR group, 80 cases) according to the status of retinopathy. Multivariate analysis was used to analyze the risk factors affecting the occurrence of retinopathy in T2DM patients, and receiver operating characteristic (ROC) curve was drawn to analyze the predictive value of serum 25 (OH) D3 and IGF-1 levels in the occurrence of retinopathy in T2DM patients.Results:The level of serum 25 (OH) D3 was (36.15±4.25) nmol/L in the study group, lower than that in the control group (51.24±5.32) nmol/L ( P<0.05), and the level of IGF-1 was (30.26±4.52) mg/L was in the study group, higher than that in the control group ( P<0.05). The levels of FBG, 2 hPG, TG and TC in the study group were (8.67±2.52) mmol/L, (11.36±2.43) mmol/L, (2.05±0.72) mmol/L, (5.05±1.54) mmol/L respectively, higher than those in the control group [ (5.02±0.42) mmol/L, (6.32±0.54) mmol/L, (1.21±0.32) mmol/L, (3.42±0.68) mmol/L] ( P<0.05). Pearson correlation analysis showed that serum 25 (OH) D3 levels were negatively correlated with FBG, 2 hPG, TG and TC levels in T2DM patients ( r=-0.762, -0.782, -0.736, -0.721, P<0.05). Serum IGF-1 levels were positively correlated with the levels of FBG, 2 hPG, TG and TC in T2DM patients ( r=0.741, 0.756, 0.715, 0.698, P<0.05). Family history of diabetes in DR group, FBG, 2 hPG, TG, TC, IGF-1 levels was 35.00%, (9.31±2.49) mmol/L, (12.52±2.34) mmol/L, (2.76±0.61) mmol/L, (5.92±1.42) mmol/L, (37.89±4.41) mg/L respectively, higher than those in NDR group [16.25%, (8.35±2.15) mmol/L, (10.78±1.75) mmol/L, (1.69±0.52) mmol/L, (4.62±1.31) mmol/L, (26.45±4.06) mg/L] ( P<0.05). 25 (OH) D3 in DR group was (30.21±3.51) nmol/L, lower than that in NDR group (39.12±3.85) nmol/L ( P<0.05). Logistic regression analysis showed that family history of diabetes mellitus, duration of diabetes mellitus, 25 (OH) D3, IGF-1, FBG, 2hPG, TG and TC levels were all risk factors for the occurrence of retinopathy in elderly T2DM patients ( P<0.05). ROC curve analysis showed that AUC and sensitivity of 25 (OH) D3 and IGF-1 combined to predict retinopathy in elderly T2DM patients were 0.854 and 92.50%, respectively, higher than that of 25 (OH) D3 and IGF-1 alone ( P<0.05) . Conclusion:Serum 25 (OH) D3 and IGF-1 levels are abnormally expressed in elderly patients with T2DM, and there is a close relationship between glucose and lipid metabolism in elderly patients with T2DM, and the combined detection of these indicators has a higher predictive value for the occurrence of DR In elderly patients with T2DM.

In recent years, organophosphate esters (OPEs), widely used in industrial and consumer products, have become ubiquitous environmental contaminants, raising concerns about their potential effects on human health, particularly fetal neurodevelopment. While published studies have suggested that prenatal exposure to OPEs may negatively impact fetal neurodevelopment, the mechanisms remain unclear. Placental neurotransmitters play a crucial role in fetal neurodevelopment during critical periods, with their synthesis, release, transport, and expression dynamically regulated by various factors, including environmental influences. This review, based on potential mediating role of placental neurotransmitters in fetal neurodevelopment, systematically reviewed studies examining the associations between prenatal OPEs exposure, alterations in maternal placental neurotransmitters, and neurodevelopmental abnormalities in offspring. The majority of studies suggested that OPEs may impact fetal neurodevelopment by interfering with placental neurotransmitter homeostasis. This review provided the first systematic overview of research demonstrating the long-term impact of OPEs on offspring neurodevelopment via placental neurotransmitters, revealing novel mechanisms of OPEs neurotoxicity, and offering a new understanding of the potential mechanisms of OPEs action on neurodevelopment.

Carboxylated pillar[5]arene functionalized silver nanoparticles(CP5A-AgNPs)were successfully prepared by Creighton method.The prepared CP5A-AgNPs composites were characterized by ultraviolet-visible absorption spectroscopy(UV-Vis),infrared spectroscopy(FT-IR)and transmission electron microscopy(TEM),etc.TEM results showed that when the molar ratio of CP5A to AgNO3 was 1:10,the prepared CP5A-AgNPs had good dispersion and uniform particle size,with an average particle size of 4.05 nm.The catalytic degradation ability of CP5A-AgNPs toward two kinds of organic dyes,Rhodamine B(RhB)and methyl orange(MO)was further investigated.The results showed that the degradation rates of these two dyes by CP5A-AgNPs were 99.91%and 98.83%respectively,and CP5A-AgNPs exhibited good cyclic catalytic ability.The catalytic efficiencies in the fifth cycle were 91.06%and 98.45%,respectively.In addition,the performance of functionalized silver nanoparticles using monomer compound of CP5(CMA)as stabilizer(CMA-AgNPs)was compared.The results showed that CP5A-AgNPs had strong catalytic degradation activity to RhB and MO,and had good recycling catalytic ability.