Causal effects of PM2.5 exposure on neuropsychiatric disorders and the mediation via gut microbiota: A Mendelian randomization study.

BACKGROUND: Growing evidence has revealed the impacts of exposure to fine particulate matter (PM2.5) and dysbiosis of gut microbiota on neuropsychiatric disorders, but the causal inference remains controversial due to residual confounders in observational studies. METHODS: This study aimed to examine the causal effects of exposure to PM2.5 on 4 major neuropsychiatric disorders (number of cases = 18,381 for autism spectrum disorder [ASD], 38,691 for attention deficit hyperactivity disorder [ADHD], 67,390 for schizophrenia, and 21,982 cases for Alzheimer's disease [AD]), and the mediation pathway through gut microbiota. Two-sample Mendelian randomization (MR) analyses were performed, in which genetic instruments were identified from genome-wide association studies (GWASs). The included GWASs were available from (1) MRC Integrative Epidemiology Unit (MRC-IEU) for PM2.5, PMcoarse, PM10, and NOX; (2) the Psychiatric Genomics Consortium (PGC) for ASD, ADHD, and schizophrenia; (3) MRC-IEU for AD; and (4) MiBioGen for gut microbiota. Multivariable MR analyses were conducted to adjust for exposure to NOX, PMcoarse, and PM10. We also examined the mediation effects of gut microbiota in the associations between PM2.5 exposure levels and neuropsychiatric disorders, using two-step MR analyses. RESULTS: Each 1 standard deviation (1.06 ug/m3) increment in PM2.5 concentrations was associated with elevated risk of ASD (odds ratio [OR] 1.42, 95% confidence interval [CI] 1.00-2.02), ADHD (1.51, 1.15-1.98), schizophrenia (1.47, 1.15-1.87), and AD (1.57, 1.16-2.12). For all the 4 neurodevelopmental disorders, the results were robust under various sensitivity analyses, while the MR-Egger method yielded non-significant outcomes. The associations remained significant for all the 4 neuropsychiatric disorders after adjusting for PMcoarse, while non-significant after adjusting for NOX and PM10. The effects of PM2.5 exposure on ADHD and schizophrenia were partially mediated by Lachnospiraceae and Barnesiella, with the proportions ranging from 8.31% to 15.77%. CONCLUSIONS: This study suggested that exposure to PM2.5 would increase the risk of neuropsychiatric disorders, partially by influencing the profile of gut microbiota. Comprehensive regulations on air pollutants are needed to help prevent neuropsychiatric disorders.

Rapid and green quantification of phloridzin and trilobatin in Lithocarpus litseifolius (Hance) Chun (sweet tea) using an online pressurized liquid extraction high-performance liquid chromatography at equal absorption wavelength method.

Sweet tea is a functional herbal tea with anti-inflammatory, anti-diabetic, and other effects, in which phloridzin and trilobatin are two functional compounds. However, the current methods for their quantification are time-consuming, costly, and environmentally unfriendly. In this paper, we propose a rapid method that integrates online pressurized liquid extraction and high-performance liquid chromatography featuring a superficially porous column for fast separation. Moreover, we employ an equal absorption wavelength method to eliminate using multiple standard solutions and relative calibration factors. Our verification process corroborated the technique's selectivity, accuracy, precision, linearity, and detection limitations. Separately, our methodology demonstrated excellent analytical efficiency, cost-effectiveness, and environmental friendliness. Practical application using six distinct batches of sweet tea samples yielded results in congruence with the external standard method. The analytical rate of this technique is up to over 18 times faster than traditional methods, and organic solvent consumption has been reduced to less than 1.5 mL. Therefore, this method provides a valuable way to achieve quality control and green analysis of sweet tea and other herbal teas.

Effects of PM2.5 pollution and single nucleotide polymorphisms of neurotrophin signaling pathway genes acting together on schizophrenia relapse.

PURPOSE: The objective of this study was to investigate the co-effect of long-term exposure to atmospheric particulate matter PM2.5 and single nucleotide polymorphisms on schizophrenia relapse. METHODS: A total of 332 patients with schizophrenia were recruited. Genotyping of eight SNPs for five genes along the neurotrophin signaling pathway was performed by the Sequenom Massarray technology platform. Based on the data from the monitoring stations, the PM2.5 level of each patient's residence was assessed by the inverse distance weighting method using Arc GIS software. Cox regression analysis was used to determine independent risk factors. The relationship between PM2.5 levels and the risk of schizophrenia relapse was evaluated using the restricted cubic spline (RCS) method. RESULTS: In this study, a total of 191 of 332 patients with schizophrenia relapsed with hospitalization. The risk of schizophrenia relapse was 13.62 (95% CI 8.29 to 22.37) in areas with PM2.5 concentrations of 48.43 to 75.35 µg/m3. The risk of schizophrenia relapse was 5.81 (95% CI 3.58-9.42, p < 0.001) and 13.62 (95% CI 8.29-22.37, p < 0.001) in the exposure categories Q3 and Q4, respectively, compared with Q1, and non-linear relationship between cumulative PM2.5 exposure and risk of schizophrenia relapse. A greater association was observed in the YWHAB gene polymorphic locus rs6031849 genotype TG (Hazard ratio 16.62, 95% CI 5.73 to 48.24). CONCLUSIONS: PM2.5 levels, YWHAB gene polymorphism locus rs6031849, and gender jointly influenced schizophrenia relapse, with long-term exposure to high levels of PM2.5 having the greatest effect on schizophrenia relapse.

An ultra-rapid and eco-friendly method for determination of loganic acid and gentiopicroside from Gentianae Macrophyllae Radix by vortex-assisted matrix solid-phase dispersion extraction and LC-MS.

An ultra-rapid and eco-friendly method for the determination of loganic acid and gentiopicroside in Gentianae Macrophyllae Radix (GMR) was developed by vortex-assisted matrix solid-phase dispersion extraction (VAMSPD) and liquid chromatography with mass spectrometry (LC-MS). The optimized VAMSPD parameters are as follow: sample-dispersant (diatomaceous earth) ratio is 1:5, grinding for 0.5 min and whirling with 0.5 mL 15 % ethanol for 0.5 min. The LC separation is performed on a Poroshell 120 EC-C18 column (30 ×2.1 mm, 2.7 µm) and eluted by an eco-friendly mobile phase (14 % ethanol containing 0.1 % formic acid) at a flow rate of 0.5 mL min-1 in isocratic mode, and detected by mass spectrometry (MS). The developed method exhibits a good linearity for the analytes (r > 0.9990). The RSDs of precision and repeatability are less than 4.0 %, the recoveries for loganic acid and gentiopicroside are 106.5 % (RSD=3.6 %) and 95.7 % (RSD=8.0 %), respectively. The developed method was successfully applied in the analysis of loganic acid and gentiopicroside in GMR samples. The total analysis time is 2 min, including 1 min for sample extraction and 1 min for LC-MS analysis. In addition, the method only requires 0.3 mL of ethanol.