Mathiassenhalberg4372

Objective To screen the biomarkers in the exhaled breath of mice exposed to benzene by using exhaled breath online analysis system. Methods Thirty 8-week-old male C57BL/6 mice were randomly divided into six groups (0, 3, 32, 324, 648, and 1 296 mg/m3) and treated with benzene vapour for 28 days. At the end of the exposure, the peripheral blood cell counts and blood glutathione (GSH) were detected. The content of malondialdehyde (MDA) in HL60 cells treated by mice plasma was examined. Exhaled breath data from mice were collected by Secondary electrospray ionization source high resolution mass spectrometry (SESI-HRMS). Targeted analysis underlying benzene metabolites and oxidative stress metabolites was performed to screen the biomarkers in exhaled breath. Results After benzene exposure, the number of peripheral blood cells was decreased in different degrees, particularly in the white blood cells (WBC) number. The WBC in 32 and 324 mg/m3 groups was declined by 27.76% and 52.87%, respectively compared to that in control group (P0.8, P less then 0.001). The peak intensity of five small molecular metabolites related to oxidative stress (ω-carboxylic fatty acid C5H10O3, ω-carboxylic fatty acid C6H12O3, glutamate, cysteine and MDA) increased with the increase of benzene concentration (P less then 0.05), which was negatively correlated with WBC decline (P less then 0.001), suggesting that these molecules mignt be used as biomarkers of benzene-induced toxicity. Conclusions Phenol, hydroquinone/catechol, benzenetriol and trans, trans-Muconic acid (t,t-MA) in exhaled breath of mice could be used as biomarkers for benzene exposure; ω-carboxylic fatty acid C5H10O3, ω-carboxylic fatty acid C6H12O3, glutamate, cysteine and MDA might be used as markers of benzene-induced toxicity.Objective To examine the relationship between parental education level and left ventricular hypertrophy (LVH) in children. Methods The data comes from the baseline survey of the Huantai Childhood Cardiovascular Health Cohort Study (HCCH) conducted in Huantai County, Zibo City, Shandong Province. A convenient cluster sampling method was used to select a primary school in Huantai County, Zibo City, Shandong Province as a survey point. A cross-sectional survey was conducted from November 2017 to January 2018. check details A total of 1 316 children aged 6-11 years with complete data were included. LVH was defined as left ventricular mass index ≥ sex-and age-specific 90th percentile values of this population. Education levels of both parents were divided into junior high school or lower, high school, university or higher, respectively. Logistic regression models were used to analyze the association between parental education level and LVH in children. Results The age of 1 316 participants was (8.9±1.5) years old. Among them, there were 703 boys (53.4%).After adjusting for gender, age, intake of vegetables and fruits, intake of carbonated drinks, physical activity, sleep time, screen time, overweight or obesity, and occasional hypertension, the logistic regression model results show that compared with those children whose parents' education level is junior high school or below, paternal or maternal education level of college or higher was associated with odds of LVH (father OR=0.53, 95%CI 0.33-0.87; mother OR=0.52, 95%CI 0.32-0.87; father/mother OR=0.54,95%CI 0.32-0.91). Conclusion Parental education level is inversely associated with LVH in childhood. The probability of LVH in childhood decreases with the increase of parental education levels.Objective This study was aimed to analyze the untargeted metabolomics of serum samples from children with mycoplasma pneumonia in a hospital in Beijing. Methods A total of 50 children with mycoplasma pneumonia as the case group were recruited from Department of Pediatrics, China-Japan Friendship Hospital in Beijing from January 2019 to February 2020, and meanwhile 50 age-and gender-matched heathy children were selected and formed the control group. 2 ml venous fasting blood samples was collected from all children. Serum metabolites were quantified by using the untargeted ultra-high performance liquid chromatography/tandem mass spectrometry (UPLC-MS/MS) technique. Unsupervised principle component analysis and (orthogonal) partial least-squares-discriminant analysis were employed to identify differential metabolites between cases and controls. MBRole software was used for pathway enrichment analysis. Results There were 27 boys and 23 girls in the case group with an average age of (6.0±3.65) years, and the control group consisted of 28 boys and 22 girls with an average age of (6.62±2.64) years. A total of 392 different metabolites were detected. Compared with the control group, 306 metabolites were decreased and 86 increased in case group. Forty-one differential metabolites with variable important in projection (VIP) values larger than 5 and P values less than 0.05 were teased out, and they mainly concentrated on phospholipid. The levels of 38 metabolites were significantly lower in the case group, yet 4 metabolites were significantly higher than that of the control group. Metabolic enrichment analysis showed that different metabolites were related to the biosynthesis of phenylalanine, tyrosine, tryptophan, unsaturated fatty acid, ammonia acyl tRNA and insulin signaling pathway, as well as the metabolism of ABC transporters. Conclusion The serum untargeted metabolomics differed remarkably between children with mycoplasma pneumonia and healthy children.Objective To investigate the dose-response relationship between serum polycyclic aromatic hydrocarbon adducts and serum complement C3 and C4 levels among children from a city in East China. Methods In September 2016, two boarding schools in the air pollution exposure area and the control area (beyond the upwind of 30 km in the air pollution exposure area) in a city in East China were selected as the research site, and the eligible school-age children were recruited as the research objects. A total of 273 children were included, including 163 in the exposure group and 110 in the control group. The annual air pollutant data (PM2.5, PM10 and NO2) of the two regions during the study period were collected. The exposure level of tobacco was evaluated by cotinine in urine. The levels of serum complement C3 and C4 were determined by automatic biochemical analyzer. The serum anti-7, 8, -dihydrodiol-9, 10-epoxide benzo[a]pyrene (BPDE)-albumin adduct levels were detected by ELISA. Linear regression model was used to explore the dose-response relationship between BPDE-albumin adducts and serum complement C3 and C4.