Will the Dark Triad Engender Psychopathological Symptoms or Vice Versa? A Three-Wave Random Intercept Cross-Lagged Panel Analysis.

INTRODUCTION: The Dark Triad (DT), including narcissism, Machiavellianism, and psychopathy, represents the dark side of human nature and has been related to psychopathological symptoms (e.g., depression, anxiety, and stress). However, little is known about how the two constructs are related longitudinally. To fill this gap and to clarify the directionality between them, we conducted a longitudinal study. METHODS: We measured DT traits and psychopathological symptoms in a large sample of university students (NT1 = 1815) annually for 3 years. We implemented random intercept cross-lagged panel models in analysis. RESULTS: Narcissism and psychopathological symptoms showed a reciprocal relationship at the within-person level: greater narcissism preceded a decline in psychopathological symptoms, while more severe symptoms preceded a decrease in narcissism. Within the same individual, increases in the DT, particularly psychopathy and Machiavellianism, were linked to concurrent escalations in the symptoms. Additionally, all DT traits were positively correlated with psychopathological symptoms as stable differences between individuals. CONCLUSIONS: This study constitutes an important step in clarifying the directionality between the DT and psychopathological symptoms, and advances our understanding of the interplay between these two constructs at both the between-person and within-person levels.

Benzo[a]pyrene exposure induces anxiety-like behaviors in the mice through brain metabolic alterations.

The deleterious health impacts of polycyclic aromatic hydrocarbons (PAHs) on the population have been extensively substantiated and acknowledged. Mounting evidence underscores that PAH exposure is closely linked to an elevated risk of mental disorders, particularly in populations experiencing occupational and high-level exposure. In this study, we aimed to investigate the mechanisms underlying anxiety-like behaviors induced by different dosages of PAHs, with a concentrated focus on brain region-specific metabolic alterations in mice using various metabolomics approaches. Male C57BL/6 mice were exposed to benzo[a]pyrene (B[a]P), a typical PAH, through gavage at occupational exposure and EPA toxicologically relevant dosages (2.0 and 20.0 mg/kg/day) for 21 days, respectively. Behavioral assessments revealed that occupational exposure to B[a]P induced anxiety-like behaviors in C57BL/6 mice. Meanwhile, elevated serum norepinephrine and corticotropin-releasing hormone further confirmed the anxiety-inducing effects of B[a]P exposure. Metabolomics analysis uncovered dysregulation across various metabolic pathways following B[a]P exposure, encompassing brain neurotransmitter, organic acid, amino acid, lipid, fatty acid, and cholesterol. Anxiety levels and lipid metabolic abnormalities were notably exacerbated at the higher dosage, despite being only a 10-fold increase. Of particular significance, a decrease in lysophosphatidic acid (LPA) and lysophosphatidylserine (LPS) emerged as pivotal indicators of B[a]P neurotoxicity. Spatial-resolved metabolomics further demonstrated distinctive lipid and metabolite profiles across different brain subregions after exposure to B[a]P. Remarkably, alterations were specifically observed in the anxiety-related brain regions, such as the hippocampus, cortex, white matter, and thalamus, varying with exposure dosages. These findings underscore the significance of brain metabolic abnormalities in the development of mental disorders triggered by B[a]P exposure and highlight the need for establishing precise exposure limits of B[a]P to safeguard public mental health.

Serum trace elements show association with thyroperoxidase autoantibodies in Thyroid Imaging Reporting and Data System (TI-RADS) 4 nodules.

Thyroid nodule (TN) has been becoming a great concern worldwide due to its high incidence. Although some studies have reported associations between trace elements exposure and the risk of TNs, the linkage was not inconclusive. The present study aimed to identify the association of selected serum trace elements (Ca, Mg, V, Fe, Co, Cu, Zn, Se, Mn and Mo) with TNs among general adults. A cross-sectional study was conducted in January 2021 in Chengdu, China. 1282 subjects completed the questionnaire and gave at least one human biological material after an overnight fast, venous blood, and urine, including 377 TN participants defined through ultrasound. Various trace elements in serum specimens were determined by inductively coupled plasma mass spectrometry. Thyroid functions were tested by chemiluminescent microparticle immunoassay (CMIA). The associations between trace elements levels and the risk of TNs were examined by restricted cubic splines (RCS) regression and bayesian kernel machine regression (BKMR) models. TNs were more common in females (P < 0.001) and in the elderly (P < 0.001) and that they were also frequently associated with fertility, marital status, annual household income, drinking, anxiety, vitamin supplement, tea consumption, hypertension and hyperlipidemia. After adjusting for confounders by a propensity score matching model, the association between trace elements concentrations and TNs risk was found to be statistically insignificant in the RCS (P for nonlinear > 0.05) and BKMR models. FT3 or T4 (total or free) increased significantly with increasing total trace elements mixture levels. In TI-RADS-4 TN subjects, TPO-Ab level increased significantly with increasing total trace elements mixture levels in the high-dose range. Ca, Zn, Mo at their 75th percentile showed positive individual effects on TPO-Ab, which was examined to be interactive. The detection of trace elements for TNs in general adults may be of no significance, but once individuals classified as TI-RADS-4 TNs are detected with abnormal TPO-Ab, Ca, Zn and Mo level are recommended to measure. The substantive association on it still needs to be continuously explored in the future.

Screening for compounds with bioaccumulation potential in breast milk using their retention behavior in two-dimensional gas chromatography.

Discovery of emerging pollutants in breast milk will be helpful for understanding the hazards to human health. However, it is difficult to identify key compounds among thousands present in complex samples. In this study, a method for screening compounds with bioaccumulation potential was developed. The method can decrease the number of compounds needing structural identification because the partitioning properties of bioaccumulative compounds can be mapped onto GC×GC chromatograms through their retention behaviors. Twenty pooled samples from seven provinces in China were analyzed. 1,286 compounds with bioaccumulation potential were selected from over 3,000 compounds. Sixty-two compounds, including aromatic compounds, phthalates, and phenolics etc., were identified with a high level of confidence and then quantified. Among them, twenty-seven compounds were found for the first time in breast milk. Three phthalate plasticizers and two phenolic antioxidants were found in significantly higher concentrations than other compounds. A toxicological priority index approach was applied to prioritize the compounds considering their concentrations, detection frequencies and eight toxic effects. The prioritization indicated that 13 compounds, including bis(2-ethylhexyl) phthalate, dibutyl phthalate, 1,3-di-tert-butylbenzene, phenanthrene, 2,6-di-tert-butyl-1,4-benzoquinone, 2,4-di-tert-butylphenol, and others, showed higher health risks. Meanwhile, some compounds with high risk for a particular toxic effect, such as benzothiazole and geranylacetone, were still noteworthy. This study is important for assessing the risks of human exposure to organic compounds.

Exposure to Chloropropanols and Their Fatty Acid Esters and Glycidyl Fatty Acid Esters in the Sixth Total Diet Study - China, 2016-2019.

What is already known about this topic?: Chloropropanols, along with their fatty acid esters and glycidyl fatty acid esters (GEs), are prevalent contaminants in a variety of processed foods, posing potential health risks to humans. What is added by this report?: In the Sixth China Total Diet Study (TDS), 3-monochloropropane-1,2-diol esters (3-MCPD esters) and GEs were identified as the predominant chloropropanols and their esters in composite food samples. Vegetables (47.0%) and cereals (15.4%) were the major contributors to exposure among the 12 food categories evaluated. What are the implications for public health practice?: The Sixth China TDS highlighted concerns regarding potential health risks associated with dietary exposure to GEs. This study underscores the need for further attention in devising practical strategies to mitigate dietary exposure to GEs.

Identification and Prioritization of Organic Pollutants in Human Milk from the Yangtze River Delta, China.

Pollutants in human milk are critical for evaluating maternal internal exposure and infant external exposure. However, most studies have focused on a limited range of pollutants. Here, 15 pooled samples (prepared from 467 individual samples) of human milk from three areas of the Yangtze River Delta (YRD) in China were analyzed by gas chromatography quadrupole time-of-flight mass spectrometry. In total, 171 compounds of nine types were preliminarily identified. Among these, 16 compounds, including 2,5-di-tert-butylhydroquinone and 2-tert-butyl-1,4-benzoquinone, were detected in human milk for the first time. Partial least-squares discriminant analysis identified ten area-specific pollutants, including 2-naphthylamine, 9-fluorenone, 2-isopropylthianthrone, and benzo[a]pyrene, among pooled human milk samples from Shanghai (n = 3), Jiangsu Province (n = 6), and Zhejiang Province (n = 6). Risk index (RI) values were calculated and indicated that legacy polycyclic aromatic hydrocarbons (PAHs) contributed only 20% of the total RIs for the identified PAHs and derivatives, indicating that more attention should be paid to PAHs with various functional groups. Nine priority pollutants in human milk from the YRD were identified. The most important were 4-tert-amylphenol, caffeine, and 2,6-di-tert-butyl-p-benzoquinone, which are associated with apoptosis, oxidative stress, and other health hazards. The results improve our ability to assess the health risks posed by pollutants in human milk.

The mother-offspring transfer of chlorothalonil through human breast milk: A multi-city cross-sectional study.

4-Hydroxychlorothalonil (4-OH CHT), the main metabolite of chlorothalonil and the most widely used fungicide, has been frequently detected in human samples during monitoring. 4-OH CHT may exhibit higher toxicity and persistence in the environment compared to its prototype. In this study, a total of 540 paired serum and breast milk samples from pregnant women in three provinces in China were monitored for contaminant residues. 4-OH CHT was analyzed in the samples using ultra high-performance liquid chromatography - high-resolution mass spectrometry with a detection limit of 20 ng/L. The study investigated the effects of demographic factors, such as BMI, region of residence, and education level, on the levels of 4-OH CHT residues in serum and breast milk. Among the three provinces, the highest median concentration of 4-OH CHT in serum samples was observed in Hebei (1.04 × 103 ng/L), while the highest median concentration of 4-OH CHT in breast milk samples was observed in Hubei and Guangdong (491 ng/L). Multiple linear regression was used to investigate the significant positive correlation between 4-OH CHT in serum and breast milk (p = 0.000) after adjusting for personal characteristics. Based on this, the study further explored the influencing factors of transfer efficiencies (TEs) in conjunction with the individual TEs and the personal characteristics of the participants. Our results demonstrated that the age of the volunteers and their exercise habits had an effect on TEs, but further studies are needed to determine whether exercise leads to an increase in TEs.

[Determination of six bisphenols in human urine by ultra-high performance liquid chromatography-tandem mass spectrometry].

OBJECTIVE: To develop and validate a solid phase extraction-ultra-high performance liquid chromatography-tandem mass spectrometry method for the determination of six bisphenols(bisphenol S, bisphenol F, bisphenol A, 2, 2'-methylenediphenol, bisphenol AF, bisphenol AP) in urine. METHODS: After enzymolysis of urine sample, the target substances were quickly purified and extracted by WAX solid phase extraction column. On ACQUITY BEH C_(18) column(2.1 mm×100 mm, 1.7 µm), the mobile phase of water and methanol was used to separate. Finally, multi-reaction detection was carried out under electrospray negative ion scanning, and quantification was carried out by internal standard method. RESULTS: The correlation coefficients(r) of the target compounds were all more than 0.998 in the range of 0.1-50.0 ng/mL, the linearity was good, and the detection limits were all lower than 0.1 ng/mL. The recoveries of the three standard concentrations(0.5, 5.0 and 50.0 ng/mL) were all between 80% and 120%, and the relative standard deviation was less than 20%(n=5). The standard reference material was detected and the concentration was within the reference range. CONCLUSION: This method can be used to detect six bisphenols in urine quickly and accurately, is suitable for the trace analysis of bisphenol compounds in human urine.

Bayesian analysis of physiologically based toxicokinetic (PBTK) modeling for pentachlorophenol exposure in pregnant women.

Pentachlorophenol (PCP) is a persistent organic compound that is widely present in the environment. The estimation of internal exposure levels for a given external exposure using toxicokinetic models is key to the human health risk assessment of PCP. The present study developed a physiologically based multicompartmental pharmacokinetic (PBTK) model to describe and predict the behavior of pentachlorophenol (PCP) in an organism. The model consists of stomach, intestines, adipose tissue, kidneys and fast- and poorly perfused tissues that are interconnected via blood circulation. We constructed a PBTK model of PCP in rats and extrapolated it to human dietary PCP exposure. The toxicokinetic data of PCP in human tissues and excreta were obtained from the published literature. Based on the collected PCP dietary survey and internal exposure data of pregnant women in Shanghai, Bayesian statistical analysis was performed for the model using Markov chain Monte Carlo (MCMC) simulation. The posterior distributions of the sensitive parameters were estimated, and the model was parameter optimized and validated using the pregnant women's test dataset. The results showed that the root mean square error (RMSE) improved 37.3% compared to the original model, and a systematic literature search revealed that the optimized model achieved acceptable prediction results for other datasets in China. A PCP metabolism model based on the exposure characteristics of pregnant women in China was constructed in the present study. The model provides a theoretical basis for the study of PCP toxicity and risk assessment.