Exposure to per- and polyfluoroalkyl substances in lung cancer patients and their associations with clinical health indicators.

Per- and polyfluoroalkyl substances (PFASs) have potential carcinogenicity, immunotoxicity, and hepatotoxicity. Research has been conducted on PFAS exposure in people to discuss their potential health effects, excluding lung cancer. In this study, we recruited participants (n = 282) with lung cancer from Heilongjiang Province, northeast China. The PFAS concentrations were measured in their serum to fill the data gap of exposure, and relationships were explored in levels between PFASs and clinical indicators of tumor, immune and liver function. Ten PFASs were found in over 80 % of samples and their total concentrations were 5.27-152 ng/mL, with the highest level for perfluorooctanesulfonate (median: 12.4 ng/mL). Long-chain PFASs were the main congeners and their median concentration (20.5 ng/mL) was nearly three times to that of short-chain PFASs (7.61 ng/mL). Significantly higher concentrations of perfluorobutanoic acid, perfluorononanoic acid and perfluorohexanesulfonate were found in males than in females (p < 0.05). Serum levels of neuro-specific enolase were positively associated with perfluoropentanoic acid in all participants and were negatively associated with perfluorononanesulfonate in females (p < 0.05, multiple linear regression models). Exposure to PFAS mixture was significantly positively associated with the lymphocytic absolute value (difference: 0.224, 95% CI: 0.018, 0.470; p < 0.05, quantile g-computation models) and serum total bilirubin (difference: 2.177, 95% CI: 0.0335, 4.33; p < 0.05). Moreover, PFAS exposure can affect γ-glutamyl transpeptidase through several immune markers (p < 0.05, mediating test). Our results suggest that exposure to certain PFASs could interfere with clinical indicators in lung cancer patients. To our knowledge, this is the first study to detect serum PFAS occurrence and check their associations with clinical indicators in lung cancer patients.

Screening of pesticides in serum, urine and cerebrospinal fluid collected from an urban population in China.

Human exposure to pesticides is a topic of public health concern for decades. Pesticide exposures have been assessed through the analysis of urine or blood matrices, but little is known on the accumulation of these chemicals in cerebrospinal fluid (CSF). CSF plays an important role in maintaining physical and chemical balance of the brain and central nervous system and any perturbation can have adverse effects on health. In this study, we investigated the occurrence of 222 pesticides in CSF from 91 individuals using gas chromatography-tandem mass spectrometry (GC-MS/MS). Measured pesticide concentrations in CSF were compared with those in 100 serum and urine specimens from individuals living in the same urban location. Twenty pesticides were found in CSF, serum and urine, at levels above the limit of detection. Three most frequently detected pesticides in CSF were biphenyl (100%), diphenylamine (75%), and hexachlorobenzene (63%). Median concentrations of biphenyl in CSF, serum and urine were 1.11, 10.6, and 1.10 ng/mL, respectively. Six triazole fungicides were found only in CSF, but not in other matrices. To our knowledge, this is the first study to report pesticide concentrations in CSF in a general urban population.

Temporal-spatial variation, source forensics of PAHs and their derivatives in sediment from Songhua River, Northeastern China.

The distribution patterns and health risk assessment of nitrated polycyclic aromatic hydrocarbons (NPAHs), hydroxy polycyclic aromatic hydrocarbons (OH-PAHs), and regular 16 priority polycyclic aromatic hydrocarbons (PAHs) in sediment from the Songhua River in northeastern China were investigated in this research. During dry seasons, concentrations of 16 USEPA priority PAHs, OH-PAHs, and NPAHs were extremely high, with average values of 1220 ± 288, 317 ± 641, 2.54 ± 3.98, and 12.2 ± 22.1 ng/g (dry weight, dw). The dry period level was confirmed to be 4 times greater than the wet period concentration. Modeling with positive matrix factorization (PMF) and estimation of diagnostic isomeric ratios were applied for identifying sources, according to the positive matrix factorization model: vehicle emissions (38.1%), biomass burning (25%), petroleum source (23.4%), and diesel engines source (13.5%) in wet season as well as wood combustion (44.1%), vehicle source (40.2%), coke oven (10.8%), and biomass burning (4.9%) in the dry season. The greatest seasonal variability was attributed to high molecular weight compounds (HMW PAHs). BaP was confirmed to be 81% carcinogenic in this study, which offers convincing proof of the escalating health issues.

Occurrence, Removal, and Mass Balance of Polycyclic Aromatic Hydrocarbons and Their Derivatives in Wastewater Treatment Plants in Northeast China.

Polycyclic aromatic hydrocarbons (PAHs), 33 methylated PAHs (Me-PAHs), and 14 nitrated PAHs (NPAHs) were measured in wastewater treatment plants (WWTPs) to study the removal efficiency of these compounds through the WWTPs, as well as their source appointment and potential risk in the effluent. The concentrations of ∑PAHs, ∑Me-PAHs, and ∑NPAHs were 2.01-8.91, 23.0-102, and 6.21-171 µg/L in the influent, and 0.17-1.37, 0.06-0.41 and 0.01-2.41 µg/L in the effluent, respectively. Simple Treat 4.0 and meta-regression methods were applied to calculate the removal efficiencies (REs) for the 63 PAHs and their derivatives in 10 WWTPs and the results were compared with the monitoring data. Overall, the ranges of REs were 55.3-95.4% predicated by the Simple Treat and 47.5-97.7% by the meta-regression. The results by diagnostic ratios and principal component analysis PCA showed that "mixed source" biomass, coal composition, and petroleum could be recognized to either petrogenic or pyrogenic sources. The risk assessment of the effluent was also evaluated, indicating that seven carcinogenic PAHs, Benzo[a]pyrene, Dibenz[a,h]anthracene, and Benzo(a)anthracene were major contributors to the toxics equivalency concentrations (TEQs) in the effluent of WWTPs, to which attention should be paid.

[Compensated hyperinsulinemia based on selective insulin resistance predicts elevation of blood pressure in non-diabetic adults].

OBJECTIVES: To investigate if hyperinsulinemia or insulin resistance could predict the elevation of blood pressure in non-diabetic adults. METHODS: One hundred and seventy non-diabetic adults (NGT 107, IGT 63) were included based on the screen by OGTT in 1986. Height, weight, blood pressure were measured. Plasma glucose and insulin concentration at 0.60 and 120 min during OGTT were determined at baseline. All the subjects were followed for six years with blood pressure and plasma glucose examined at the end of the study. Subjects worsening to diabetes were excluded. Insulin area under-curve (INSAUC) and insulin sensitivity index [IAI = (1/FINS x FPG)] were calculated. Stepwise regression analysis was performed to evaluate the effects of INSAUC and insulin sensitivity to the elevation of blood pressure. RESULTS: Both SBP and DBP levels at the end of the study were increased with increased INSAUC baseline. The SBP were (119.5 +/- 2.3), (122.1 +/- 2.5), (129.4 +/- 2.4) and (128.3 +/- 2.6) mmHg, and the DBP were (78.6 +/- 1.6), (79.7 +/- 1.7), (85.2 +/- 1.4) and (84.0 +/- 1.0) mmHg from the lowest to the highest quartiles of INSAUC respectively. Pearson correlation analysis showed Age, SBP, DBP, BMI, FINS, INS1h, INSAUC at baseline were positively correlated to blood pressure levels at the end of the study. After the adjustment of Age, sex, BMI, smoking, PG2 h and blood pressure at baseline, the INSAUC was significantly correlated to blood pressure six years later, while the insulin sensitivity index was not. CONCLUSION: The compensated hyperinsulinemia based on selective insulin resistance rather than insulin resistance to glucose per se could predict the elevation of blood pressure in nondiabetic adults.