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

Objective To establish an ultra-high-performance liquid chromatography-triple quadrupole tandem mass spectrometry method for the determination of N-(1,3-dimethylbutyl)-N′-phenyl-p-phenylenediamine quinone (6PPDQ) in human plasma and urine. Methods Plasma and urine samples (0.3 mL each) were mixed with 0.9 mL acetonitrile and dichloromethane, vortexed, and subjected to ultrasonic treatment to facilitate extraction. After centrifugation, the extract was collected, evaporated to dry powder under nitrogen, and reconstituted. Separation was performed on a C18 column, and detection was carried out using ultra-high-performance liquid chromatography-triple quadrupole tandem mass spectrometry with external standard quantification. Results 6PPDQ showed good linearity in the range of 0.01-25.00 μg/L in both human plasma and urine, with correlation coefficients of 0.999 5 and 0.999 7, respectively. The detection limits for plasma and urine were 8 and 6 ng/L, and the lower limits of quantification were 27 and 19 ng/L, respectively. The average recovery rates were 97.00%-100.00% for plasma and 90.00%-96.50% for urine. The within-run relative standard deviations (RSDs) were 4.35%-10.00% for plasma and 2.34%-11.11% for urine, while the between-run RSDs were 6.80%-8.46% and 2.60%-10.00%, respectively. Samples can be stored for seven days at 4 ℃ or -20 ℃. respectively. Samples can be stored for seven days at 4 ℃ or -20 ℃. Matrix effects ranged from 87.12%-99.27% for plasma and 91.00%-97.56% for urine. Conclusion The proposed method is simple, highly sensitive, and reproducible, and is suitable for the determination of 6PPDQ in human plasma and urine samples.

Objective To analyze differential metabolites (DMs) in the urine of workers with occupational nickel exposure using non-targeted metabolomics, and to screen differential metabolic pathways. Methods A total of 30 nickel exposed workers were selected as the exposure group, and 30 administrative staff from the same factory were selected as the control group using the judgment sampling method. Urine samples of the individuals from the two groups were collected. The ultra-high performance liquid chromatography with quadrupole time-of-flight mass spectrometry and non-targeted metabolomics were used to detect and identify metabolites. The differential metabolic profiles were compared between workers of the two groups, and key differential metabolic pathways and potential biomarkers were screened. The association of DMs and urinary nickel level were evaluated by Spearman correlation coefficients. The sensitivity and specificity of biomarkers were assessed by receiver operating characteristic (ROC) curve analysis. Results A total of 418 metabolites were identified in the urine of worker in the exposure and control groups. The result of principal component analysis and orthogonal partial least squares analysis showed that there were 128 DMs in the urine of workers in the exposure group compared with the control group. These DMs were mainly enriched in glutathione metabolism, carnitine synthesis, and amino acid and nucleotide metabolism pathways, including glycine and serine metabolism. The result of correlation analysis and ROC curve analysis revealed that 4-methylcatechol, 4-vinylphenol sulfate, 2-hydroxyphenylacetone sulfate, 2-dodecylbenzenesulfonic acid, and decylbenzenesulfonic acid could be the potential biomarkers for nickel exposure (all area under the ROC curve >0.800). Conclusion There were significant differences in the urinary metabolic profiles of workers with occupational nickel exposure. The five DMs including 4-methylcatechol, 4-vinylphenol sulfate, 2-hydroxyphenylacetone sulfate, 2-dodecylbenzenesulfonic acid, and decylbenzenesulfonic acid. These DMs could be potential biomarkers of occupational nickel exposure.

Biotoxins, which include bacterial, fungal, marine, plant, and animal toxins, are widespread in living and occupational environments, posing potential threats to human health. Rapid detection of biotoxins in blood is crucial for preventing health hazards and enabling timely disease diagnosis and treatment. Biosensors and immunoassay technologies have critical advantages in the rapid detection of biotoxins in blood. Common biosensors, such as surface plasmon resonance biosensors and fluorescent biosensors, enhance sensitivity and reduce detection limits through signal amplification. Common immunoassay methods, such as colloidal gold immunochromatography, fluorescence immunochromatography, and chemiluminescence immunoassay, improve detection efficacy and sensitivity through specific antibody-antigen binding and nanotechnology. However, current rapid detection technologies of bitoxins in blood face challenges such as matrix interference and insufficient specificity, and they fall short in high-throughput detection of multiple toxins simultaneously. Future developments should focus on improving sample pretreatment, innovating signal amplification methods, enhancing specificity on recognition of elements, and designing portable detection devices and high-throughput platforms for simultaneous toxin analysis. These advancements aim to improve the sensitivity and reliability of detection methods, providing more accurate and convenient solutions for biotoxin detection in blood.

Objective:To study the relationship between hemoglobin glycation index (HGI) and blood lipid indices such as low-density lipoprotein cholesterol (LDL-C), non-high-density lipoprotein cholesterol (non-HDL-C), and plasma atherogenic index (AIP).Methods:This cross-sectional study included 16 049 participants from the Beijing Apple Garden community between December 2011 and August 2012. The subjects were divided into three groups based on the HGI quartile: low ( n=5 388), medium ( n=5 249), and high ( n=5 412). The differences in blood lipid indicators between different HGI groups were compared and multivariate logistic regression model was established to analyze the association between HGI and dyslipidemia. And multivariate logistic regression model was established to analyze the relationship between HGI and blood lipid indicators in different glucose metabolism populations. Results:There were 16 049 participants in all (mean age: 56 years), including 10 452 women (65.1%). They were classified into normal glucose tolerance (9 093 cases), prediabetes (4 524 cases), and diabetes (2 432 cases) based on glucose tolerance status. In the general population, with the increase of HGI, LDL-C, non-HDL-C, and AIP gradually increased (all P values for trends were <0.05), and the proportion of abnormalities increased significantly ( χ2=101.40, 42.91, 39.80; all P<0.001). A multivariate logistic regression model was established, which suggested a significant correlation between HGI and LDL-C, non-HDL-C, and AIP (all P<0.05), after adjusting for factors such as age, sex, fasting blood glucose, hypertension, body mass index, smoking, and alcohol consumption. In the overall population, normal glucose tolerance group, and diabetes group, HGI had the highest correlation with non-HDL-C ( OR values of 1.325, 1.678, and 1.274, respectively); in the prediabetes group, HGI had a higher correlation with LDL-C ( OR value: 1.510); and in different glucose metabolism groups, AIP and HGI were both correlated ( OR: 1.208-1.250), but not superior to non-HDL-C and LDL-C. Conclusion:HGI was closely related to LDL-C, non HDL-C, and AIP in the entire population and people with different glucose metabolism, suggesting that HGI may be a predictor of atherosclerotic cardiovascular disease.

Objective To explore the value of chromosomal microarray analysis(CMA)for the diagnosis of early spontaneous abortion,and to investigate the relationship between chromosomal abnormalities and early spontaneous abortion.Methods A total of 432 cases embryos were collected from June 2017 to December 2022 which occur early spontaneous abortion in Yangzhou Maternal and Child Health Hospital.We retrospectively analyze the results of chromosomal microarray analysis,and analyze the correlation between different gestational weeks and numerical chromosomal abnormalities and copy number variations.Results A total of 428 specimens were successfully analyzed by the CMA.Chromosomal abnormalities were identified in 270 specimens,including 212 cases of numerical chromosomal abnormalities,53 cases of copy number variations,and 5 cases of uniparental disomy.Most chromosomal abnormalities are trisomies,with 16-trisomy was the most common.Among the copy number variations,31 cases of pathogenic and likely pathogenic were detected,and 22 cases of clinically unknown copy number abnormalities were detected.There was no statistically significant difference in numerical chromosomal abnormalities among different gestational weeks(P>0.05),while the positive rate of copy number variations was highest at 10-11+6 weeks of pregnancy.Conclusion CMA can clarify the etiological diagnosis of early spontaneous abortion.It can not only detect chromosomal abnormalities,but also can detect copy number variations and even chromosome microdeletion syndrome,chromosome microduplication syndrome.In the study,numerical chromosomal abnormalities are the main cause of spontaneous abortion.

Objective: To investigate the specificity of endogenous metabolic profile in plasma of patients with occupational acute methyl acetate poisoning using non-targeted metabolomics. Methods: A total of six patients with occupational acute methyl acetate poisoning were selected as the poisoning group, while 10 healthy workers without occupational exposure history of chemical hazards in the same industry were selected as the control group using the judgment sampling method. Metabolites in patient plasma of the two groups were detected using ultra-high performance liquid chromatography coupled with quadrupole time-of-flight mass spectrometry, and non-targeted metabolomics analysis was performed. Principal component analysis and partial least squares discriminant analysis were used to identify differential metabolites and analyze their metabolic pathways. Results: There were significant differences in metabolite profiles in patient plasma between poisoning group and control group. A total of 195 differentially expressed metabolites were screened in plasma of patients in poisoning group, including 119 upregulated and 76 downregulated metabolites. Lipid substances (lipids and lipid-like molecules) accounted for the highest proportion (21.5%). The differential metabolites of poisoning group were related to folate biosynthesis, amino acid metabolism, pyrimidine metabolism, sphingolipid biosynthesis and other metabolic pathways in plasma compared with the control group (all P<0.05). Conclusion: Occupational acute methyl acetate poisoning affects metabolism of the body. The folic acid biosynthesis, amino acid and lipid metabolism and other pathways may be involved in the occurrence and development of poisoning.

In recent years, the perioperative surgical home model has been gradually applied to the posterior spinal fusion for adolescent idiopathic scoliosis. This review summarizes the application of perioperative surgical home model in adolescent idiopathic scoliosis surgery, including the concept, connotation and elements, hoping to provide reference and reference for complex and high-risk surgical procedures.

Objective To compare the set up errors derived from different registration methods of the X-ray volume imaging (XVI) system for radiotherapy in the treatment of middle/lower-segment esophageal cancer, and to provide a reference for radiation treatment of esophageal cancer. Methods We randomly selected 63 patients with middle/lower-segment esophageal cancer, and obtained their reconstructed XVI images at the first therapy to perform automatic registration with gray-value and bone registration methods. We acquired and compared the three translation errors (along x [left to right], y [head to feet], and z [front to back] axes) and three rotation errors (around the x, y, and z axes) derived from the two registration methods. Results Gray-value registration had significantly smaller translation errors along the x and z axes than bone registration (x azes t = −2.78, z azes t = −2.15, P < 0.05), but there was no significant difference along the y axes (P > 0.05). The rotation errors around the three axes were all smaller than 1°, and were smaller with gray-value registration than with bone registration, but without significant differences (P > 0.05). Conclusion We recommend gray-value registration for radiotherapy in the treatment of middle/lower-segment esophageal cancer. Manual verification or fine-tuning is recommended after automatic registration in clinical practice. Besides translation errors, rotation errors should also be paid attention to.

OBJECTIVE: To carry out genetic testing and prenatal diagnosis for a Chinese pedigree with Lesch-Nyhan syndrome (LNS) but no specimen from the affected probands. METHODS: All affected individuals in this pedigrees were male and had deceased during childhood, with no biological specimen left. Based on their typical neurological dysfunction and tendency for self-mutilation, the diagnosis of LNS was suspected. Sanger sequencing was carried out to detect potential variant of the HPRT1 gene among female members from the pedigree. Following the identification of the pathogenic variant, prenatal diagnosis was provided for a high-risk fetus. RESULTS: The proband's mother and three other females were found to harbor heterozygous c.500_501delGGinsC (p.Arg167fs*23) variant of the HPRT1 gene, which was unreported previously. Prenatal diagnosis showed that the fetus was a male and had inherited the same pathogenic variant. CONCLUSION The c.500_501delGGinsC variant of the HPRT1 gene probably underlay the LNS in this pedigree. Above finding has provided a basis for prenatal diagnosis and genetic counseling for this pedigree.
Male ; Female ; Humans ; Pregnancy ; Lesch-Nyhan Syndrome/genetics* ; Pedigree ; Hypoxanthine Phosphoribosyltransferase/genetics* ; Prenatal Diagnosis ; China ; Mutation