ABSTRACT
Genome-wide studies have identified genetic variants linked to neurologic diseases. Environmental factors also play important roles, but no methods are available for their comprehensive investigation. We developed an approach that combines genomic data, screens in a novel zebrafish model, computational modeling, perturbation studies, and multiple sclerosis (MS) patient samples to evaluate the effects of environmental exposure on CNS inflammation. We found that the herbicide linuron amplifies astrocyte pro-inflammatory activities by activating signaling via sigma receptor 1, inositol-requiring enzyme-1α (IRE1α), and X-box binding protein 1 (XBP1). Indeed, astrocyte-specific shRNA- and CRISPR/Cas9-driven gene inactivation combined with RNA-seq, ATAC-seq, ChIP-seq, and study of patient samples suggest that IRE1α-XBP1 signaling promotes CNS inflammation in experimental autoimmune encephalomyelitis (EAE) and, potentially, MS. In summary, these studies define environmental mechanisms that control astrocyte pathogenic activities and establish a multidisciplinary approach for the systematic investigation of the effects of environmental exposure in neurologic disorders.
Subject(s)
Astrocytes/metabolism , Central Nervous System/metabolism , Animals , Central Nervous System/immunology , Computational Biology/methods , Encephalomyelitis, Autoimmune, Experimental/immunology , Endoribonucleases/metabolism , Environment , Environmental Exposure/adverse effects , Genome , Genomics , Humans , Inflammation/metabolism , Linuron/adverse effects , Mice , Mice, Inbred C57BL , Multiple Sclerosis/immunology , Protein Serine-Threonine Kinases/metabolism , Receptors, sigma/drug effects , Receptors, sigma/metabolism , Signal Transduction , X-Box Binding Protein 1/metabolism , ZebrafishABSTRACT
Methods for the determination of 3,4-dichloroaniline (3,4-DCA) and 3,5-dichloroaniline (3,5-DCA) as common markers of eight non-persistent pesticides in human urine are presented. 3,5-DCA is a marker for the exposure to the fungicides vinclozolin, procymidone, iprodione, and chlozolinate. Furthermore the herbicides diuron, linuron, neburon, and propanil are covered using their common marker 3,4-DCA. The urine samples were treated by basic hydrolysis to degrade all pesticides, metabolites, and their conjugates containing the intact moieties completely to the corresponding dichloroanilines. After addition of the internal standard 4-chloro-2-methylaniline, simultaneous steam distillation extraction (SDE) followed by liquid-liquid extraction (LLE) was carried out to produce, concentrate and purify the dichloroaniline moieties. Gas chromatography (GC) with mass spectrometric (MS) and tandem mass spectrometric (MS-MS) detection and also detection with an electron-capture detector (ECD) after derivatisation with heptafluorobutyric anhydride (HFBA) were employed for separation, detection, and identification. Limit of detection of the GC-MS-MS and the GC-ECD methods was 0.03 and 0.05 microg/l, respectively. Absolute recoveries obtained from a urine sample spiked with the internal standard, 3,5-, and 3,4-DCA, ranged from 93 to 103% with 9-18% coefficient of variation. The three detection techniques were compared concerning their performance, expenditure and suitability for their application in human biomonitoring studies. The described procedure has been successfully applied for the determination of 3,4- and 3,5-DCA in the urine of nonoccupationally exposed volunteers. The 3,4-DCA levels in these urine samples ranged between 0.13 and 0.34 microg/g creatinine or 0.11 and 0.56 microg/l, while those for 3,5-DCA were between 0.39 and 3.33 microg/g creatinine or 0.17 and 1.17 microg/l.
