Acute carbon monoxide poisoning (ACMP) is one of the most common gas poisonings in the emergency department, with tens of thousands of people seeking medical attention for carbon monoxide (CO) poisoning each year. The severity of poisoning is dependent upon environmental and human factors, with hypoxia and oxidative stress being important mechanisms of cardiac toxicity induced by CO. Myocardial involvement is common in moderate to severe ACMP, including myocardial injury, myocardial infarction, arrhythmia, and sudden death, which are associated with a high risk of death. Ferroptosis is a cell death mechanism caused by iron-dependent lipid peroxidation (LPO), although ferroptosis has been shown to play a critical role in various cardiovascular diseases, the potential mechanism by which it contributes to ACMP-induced myocardial injury is unclear. This review discusses the established link between ferroptosis and cardiovascular disease and summarizes the potential role of ferroptosis in ACMP-induced myocardial injury and the detrimental effects of ACMP on the heart. Elucidating these mechanisms could guide the development of novel therapeutic strategies that target ferroptosis to mitigate ACMP-induced myocardial injury. This review aims to provide a theoretical foundation for future research on the potential use of ferroptosis as a therapeutic target for ACMP-induced myocardial injury.
Humans ; Carbon Monoxide Poisoning/complications* ; Ferroptosis ; Lipid Peroxidation ; Myocardium/pathology* ; Oxidative Stress

OBJECTIVES: This study aimed to analyze the correlations and proportional relationships between maxillary anterior teeth (MAT) and facial measurements in Han Chinese individuals with the most attractive smiles, as evaluated by dental professionals. METHODS: Ten dentists with more than 5 years of clinical experience from different professional directions in a tertiary stomatological hospital were selected to evaluate the smile attractiveness of volunteers by visual analogue scale (VAS). Eighty-eight Han volunteers with the most attractive smile were selected. The perceived width of the MAT, the dimensions (height and width) of the maxillary central incisors (MCI), and the facial dimensions (intercanthal distance, interzygomatic distance, interalar distance, facial height and lower facial height) of the volunteers were measured on the frontal photos of the smile, digital oral model, and 3D face model. Pearson correlation analysis was performed to analyze linear correlations, and regression analysis was carried out to explore the proportional relationships. Reliability analysis using the intraclass correlation coefficient verified the stability of these proportional relationships. In addition, the correlations between MAT perceived width and the proportional relationships of (MCI) height to width ratio, with facial dimensions were explored and their reliability was verified. RESULTS: In Han Chinese individuals with the most attractive smiles, as evaluated by dental professionals, the Pearson correlation coefficients among MAT perceived widths were 0.813, 0.389, and 0.560. A proportional relationship existed between the lateral incisor and central incisor, and the ratio was 0.729. No significant correlations were found between MCI and the inner canthal distance, zygomatic distance, interalar distance, facial height, or the lower one-third facial height except for a negative correlation (r=-0.357) between MCI height and facial height in males and a positive correlation (r=0.249) between MCI width and interalar width when genders were combined. CONCLUSIONS Correlations exist among MAT perceived widths in Han Chinese individuals with the most attractive smiles, as evaluated by dental professionals. Partial correlations are observed between MCI height and width and facial measurements. The perceived width of the lateral incisor can serve as a reference indicator for predicting the perceived width of the central incisor, providing a reference for the aesthetic restoration of MAT in the Han ethnicity population.
Adult ; Female ; Humans ; Male ; China ; Esthetics, Dental ; Face/anatomy & histology* ; Incisor/anatomy & histology* ; Maxilla/anatomy & histology* ; Smiling ; East Asian People

CAR-T cell immunotherapy,which is derived from T cells and employed in various diseases,particularly blood disorders,involves in vitro gene modification and infusion for treatment.Despite the significant therapeutic effects of CAR-T cells,challenges such as side effects,toxicity,CAR-T cell exhaustion,the immunosuppressive tumor microenvironment,and ge-netic alterations exist.The clinical efficacy of CAR-T cells in solid tumor treatment is limited,often leading to patient re-lapse.Addressing CAR-T-cell exhaustion remains a significant challenge.Scientists are employing diverse technical approaches to prevent CAR-T-cell exhaustion to increase the reliability and utility of CAR-T-cell therapy.This article delves into the mech-anisms of T-cell depletion and CAR-T-cell exhaustion,along with strategies to alleviate or disrupt CAR-T-cell exhaustion.This review of research progress on CAR-T-cell exhaustion aims to identify optimal strategies for reversing CAR-T-cell function and provide a comprehensive theoretical foundation for enhancing CAR-T-cell therapy technology.

OBJECTIVE: To observe the effect of electroacupuncture (EA) on liver protein kinase B (Akt)/forkhead box transcription factor 1 (FoxO1) signaling pathway in Zucker diabetic fatty (ZDF) rats, and to explore the possible mechanism of EA on improving liver insulin resistance of type 2 diabetes mellitus. METHODS: Twelve male 2-month-old ZDF rats were fed with high-fat diet for 4 weeks to establish diabetes model. After modeling, the rats were randomly divided into a model group and an EA group, with 6 rats in each group. In addition, six male Zucker lean (ZL) rats were used as the blank group. The rats in the EA group were treated with EA at bilateral "Zusanli" (ST 36), "Sanyinjiao" (SP 6), "Weiwanxiashu" (EX-B 3), and "Pishu" (BL 20). The ipsilateral "Zusanli" (ST 36) and "Weiwanxiashu" (EX-B 3) were connected to EA device, continuous wave, frequency of 15 Hz, 20 min each time, once a day, six times a week, for a total of 4 weeks. The fasting blood glucose (FBG) in each group was compared before modeling, before intervention and after intervention; the serum levels of insulin (INS) and C-peptide were measured by radioimmunoassay method, and the insulin resistance index (HOMA-IR) was calculated; HE staining method was used to observe the liver tissue morphology; Western blot method was used to detect the protein expression of Akt, FoxO1 and phosphoenolpyruvate carboxykinase (PEPCK) in the liver. RESULTS: Before intervention, compared with the blank group, FBG was increased in the model group and the EA group (P<0.01); after intervention, compared with the model group, FBG in the EA group was decreased (P<0.01). Compared with the blank group, the serum levels of INS and C-peptide, HOMA-IR, and the protein expression of hepatic FoxO1 and PEPCK were increased (P<0.01), while the protein expression of hepatic Akt was decreased (P<0.01) in the model group. Compared with the model group, the serum levels of INS and C-peptide, HOMA-IR, and the protein expression of hepatic FoxO1 and PEPCK were decreased (P<0.01), while the protein expression of hepatic Akt was increased (P<0.01) in the EA group. In the model group, the hepatocytes were structurally disordered and randomly arranged, with a large number of lipid vacuoles in the cytoplasm. In the EA group, the morphology of hepatocytes tended to be normal and lipid vacuoles were decreased. CONCLUSION EA could reduce FBG and HOMA-IR in ZDF rats, improve liver insulin resistance, which may be related to regulating Akt/FoxO1 signaling pathway.
Male ; Animals ; Rats ; Rats, Zucker ; Proto-Oncogene Proteins c-akt/genetics* ; Diabetes Mellitus, Type 2/therapy* ; Insulin Resistance ; C-Peptide ; Electroacupuncture ; Liver ; Signal Transduction ; Insulin ; Lipids

Ma-Mu-Ran Antidiarrheal Capsules (MMRAC) is traditional Chinese medicine that has been used to treat diarrhea caused by acute enteritis (AE) and bacillary dysentery in Xinjiang (China) for many years. However, the potential therapeutic mechanism of MMRAC for AE and its regulatory mechanism on host metabolism is unclear. This study used fecal metabolomics profiling with GC/MS and 16S rRNA gene sequencing analysis to explore the potential regulatory mechanisms of MMRAC on a dextran sulfate sodium salt (DSS)-induced mouse model of AE. Fecal metabolomics-based analyses were performed to detect the differentially expressed metabolites and metabolic pathways. The 16S rRNA gene sequencing analysis was used to assess the altered gut microbes at the genus level and for functional prediction. Moreover, Pearson correlation analysis was used to integrate differentially expressed metabolites and altered bacterial genera. The results revealed that six intestinal bacteria and seven metabolites mediated metabolic disorders (i.e., metabolism of amino acid, carbohydrate, cofactors and vitamins, and lipid) in AE mice. Besides, ten altered microbes mediated the differential expression of eight metabolites and regulated these metabolisms after MMRAC administration. Overall, these findings demonstrate that AE is associated with metabolic disorders and microbial dysbiosis. Further, we present that MMRAC exerts protective effects against AE by improving host metabolism through the intestinal flora.
Animals ; Antidiarrheals/pharmacology* ; Capsules ; Enteritis/genetics* ; Feces/microbiology* ; Genes, rRNA ; Metabolomics ; Mice ; RNA, Ribosomal, 16S/genetics*

Objective:To investigate the value of a preoperatively MRI-based deep learning (DL) radiomics machine learning model to distinguish low-grade and high-grade soft tissue sarcomas (STS).Methods:From November 2007 to May 2019, 151 patients with STS confirmed by pathology in the Affiliated Hospital of Qingdao University were enrolled as training sets, and 131 patients in the Affiliated Hospital of Shandong First Medical University and the Third Hospital of Hebei Medical University were enrolled as external validation sets. According to the French Federation Nationale des Centres de Lutte Contre le Cancer classification (FNCLCC) system, 161 patients with FNCLCC grades Ⅰ and Ⅱ were defined as low-grade and 121 patients with grade Ⅲ were defined as high-grade. The hand-crafted radiomic (HCR) and DL radiomic features of the lesions were extracted respectively. Based on HCR features, DL features, and HCR-DL combined features, respectively, three machine-learning models were established by decision tree, logistic regression, and support vector machine (SVM) classifiers. The area under the receiver operating characteristic curve (AUC) was used to evaluate the performance of each machine learning model and choose the best one. The univariate and multivariate logistic regression were used to establish a clinical-imaging factors model based on demographics and MRI findings. The nomogram was established by combining the optimal radiomics model and the clinical-imaging model. The AUC was used to evaluate the performance of each model and the DeLong test was used for comparison of AUC between every two models. The Kaplan-Meier survival curve and log-rank test were used to evaluate the performance of the optimal machine learning model in the risk stratification of progression free survival (PFS) in STS patients.Results:The SVM radiomics model based on HCR-DL combined features had the optimal predicting power with AUC values of 0.931(95%CI 0.889-0.973) in the training set and 0.951 (95%CI 0.904-0.997) in the validation set. The AUC values of the clinical-imaging model were 0.795 (95%CI 0.724-0.867) and 0.615 (95%CI 0.510-0.720), and of the nomogram was 0.875 (95%CI 0.818-0.932) and 0.786 (95%CI 0.701-0.872) in the training and validation sets, respectively. In validation set, the performance of SVM radiomics model was better than those of the nomogram and clinical-imaging models ( Z=3.16, 6.07; P=0.002,<0.001). Using the optimal radiomics model, there was statistically significant in PFS between the high and low risk groups of STS patients (training sets: χ2=43.50, P<0.001; validation sets: χ2=70.50, P<0.001). Conclusion:Preoperative MRI-based DL radiomics machine learning model has accurate prediction performance in differentiating the histopathological grading of STS. The SVM radiomics model based on HCR-DL combined features has the optimal predicting power and was expected to undergo risk stratification of prognosis in STS patients.

Background::As a non-invasive and effective diagnostic method for small intestinal bacterial overgrowth (SIBO), wild-use of breath test (BT) has demonstrated a high comorbidity rate in patients with diarrhea-predominant irritable bowel syndrome (IBS-D) and SIBO. Patients overlapping with SIBO respond better to rifaximin therapy than those with IBS-D only. Gut microbiota plays a critical role in both of these two diseases. We aimed to determine the microbial difference between IBS-D overlapping with/without SIBO, and to study the underlying mechanism of its sensitivity to rifaximin.Methods::Patients with IBS-D were categorized as BT-negative (IBSN) and BT-positive (IBSP). Healthy volunteers (BT-negative) were enrolled as healthy control. The patients were clinically evaluated before and after rifaximin treatment (0.4 g bid, 4 weeks). Blood, intestine, and stool samples were collected for cytokine assessment and gut microbial analyses.Results::Clinical complaints and microbial abundance were significantly higher in IBSP than in IBSN. In contrast, severe systemic inflammation and more active bacterial invasion function that were associated with enrichment of opportunistic pathogens were seen in IBSN. The symptoms of IBSP patients were relieved in different degrees after therapy, but the symptoms of IBSN rarely changed. We also found that the presence of IBSN-enriched genera ( Enterobacter and Enterococcus) are unaffected by rifaximin therapy. Conclusions::IBS-D patients overlapping with SIBO showed noticeably different fecal microbial composition and function compared with IBS-D only. The better response to rifaximin in those comorbid patients might associate with their different gut microbiota, which suggests that BT is necessary before IBS-D diagnosis and use of rifaximin.Registration::Chinese Clinical Trial Registry, ChiCTR1800017911.

The antidepressant mechanism of Sini Powder was investigated by metabonomics based on UHPLC-Q-TOF-MS, and the roles of processing and compatibility in the antidepression of Sini Powder were discussed in the present study. The chronic unpredictable mild stress(CUMS) model of depression was induced in the model group, the Bupleuri Radix group, the Paeoniae Radix Alba group, the herb-pair group(Bupleuri Radix-Paeoniae Radix Alba), the Sini Powder group, and the vinegar-processed Sini Powder group(Bupleuri Radix and Paeoniae Radix Alba were vinegar-processed). After the establishment of the model, the rats in each group were continuously administered with corresponding drugs(ig) at a dose of 9.6 g·kg~(-1) for eight days [the rats in the model group and the normal group(without model induction) received the same volume of normal saline at the same time]. Following the last administration, the differential metabolites were identified to analyze metabolic pathways based on the rat plasma samples collected from each group. A total of sixteen potential biomarkers were identified. The metabolites with significant changes were involved in many biological metabolic pathways, such as amino acid metabolism, pentose phosphate pathway, glycerol phospholipid metabolism, sphingolipid metabolism, and purine metabolism. After drug intervention, some biomarkers returned to normal levels. Further comparisons of processing and compatibility revealed that the vinegar-processed Sini Powder group had the most total metabolic pathways where differential metabolites were returned to normal. Compared with the individual herbs, the herb-pair significantly improved the recovery of differential metabolites in the pentose phosphate and purine metabolic pathways. Compared with the Sini Powder, the vinegar-processed Sini Powder facilitated the recovery of differential metabolites in the arginine biosynthesis, and pyrimidine and pentose phosphate metabolic pathways. As indicated by the results, Sini Powder may interfere with depression by regulating lipid and nucleotide metabolisms. The processing and compatibility of Chinese herbal medicines can potentiate the intervention on depression by regulating nucleotide, energy, and amino acid metabolisms to a certain extent.
Animals ; Antidepressive Agents ; Drugs, Chinese Herbal ; Metabolomics ; Paeonia ; Powders ; Rats

OBJECTIVE: To investigate the prevalence rate of hypothyroidism in children with β-thalassemia major (β-TM) and its risk factors. METHODS: A total of 86 children with β-TM treated and followed up in the Department of Pediatrics of the Fifth Affiliated Hospital of Sun Yat-Sen University, Zhuhai Municipal Maternal and Child Health Care Hospital from August 2018 to August 2020 were enrolled. The clinical data of the children were analyzed to investigate the prevalence rate of hypothyroidism in children with β-thalassemia major (β-TM) and its risk factors. RESULTS: The prevalence rate of hypothyroidism in children with β-TM in Zhuhai area was 17.4%. The level of serum ferritin(SF) (4948.27±1225.33 μg/L) in hypothyroidism children was significantly increased(t=10.273，P<0.05). The prevalence rate of hypothyroidism was significantly higher in β-TM children(age ≥10 years old, SF ≥2 500 μg/L and irregular iron removal) (P<0.05). Logistic regression result showed that age ≥10 years old was the independent risk factor affecting the increasing of hypothyroidism rate in the children. The levels of SF(3880.60±1269.17 μg/L), TSH(4.43±1.52 mIU/L) and the prevalence rate of hypothyroidism(37.14%)(P<0.05) were higher for the children in irregular iron removal group. CONCLUSION The prevalence rate of hypothyroidism in children with β-TM in Zhuhai area is high, and it is related to the age ≥10 years old, SF ≥2 500 μg/L and irregular iron removal of the children.
Child ; Humans ; Hypothyroidism/epidemiology* ; Iron Overload ; Prevalence ; Risk Factors ; beta-Thalassemia/epidemiology*

BACKGROUND: Little is known about the effects of environmental cobalt exposure on insulin resistance (IR) in the general adult population. We investigated the association between cobalt concentration and IR. METHODS: A total of 1281 subjects aged more than 20 years with complete blood cobalt data were identified from the National Health and Nutrition Examination Survey (NHANES) 2015-2016 cycle. Blood cobalt levels were analyzed for their association with IR among all populations and subgroups by sex. Regression coefficients and 95% confidence intervals (CIs) of blood cobalt concentrations in association with fasting glucose, insulin and homeostatic model assessment of insulin resistance (HOMA-IR) were estimated using multivariate linear regression after adjusting for age, sex, ethnicity, alcohol consumption, body mass index, education level, and household income. A multivariate generalized linear regression analysis was further carried out to explore the association between cobalt exposure and IR. RESULTS: A negative association between blood cobalt concentration (coefficient = - 0.125, 95% CI - 0.234, - 0.015; P = 0.026) and HOMA-IR in female adults in the age- and sex-adjusted model was observed. However, no associations with HOMA-IR, fasting glucose, or insulin were found in the overall population. In the generalized linear models, participants with the lowest cobalt levels had a 2.74% (95% CI 0.04%, 5.50%) increase in HOMA-IR (P for trend = 0.031) compared with subjects with the highest cobalt levels. Restricted cubic spline regression suggested that a non-linear relationship may exist between blood cobalt and HOMA-IR. CONCLUSIONS These results provide epidemiological evidence that low levels of blood cobalt are negatively associated with HOMA-IR in female adults.
Adult ; Aged ; Aged, 80 and over ; Cobalt/blood* ; Cross-Sectional Studies ; Environmental Pollutants/blood* ; Female ; Homeostasis ; Humans ; Insulin/blood* ; Insulin Resistance ; Male ; Middle Aged ; Nutrition Surveys ; Sex Factors ; United States ; Young Adult