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Regulatory Genomics of Ozone Air Pollution Response in Vitro and In Vivo

体外和体内臭氧空气污染响应的监管基因组学

基本信息

批准号：
10467348
负责人：
Samir Kelada
金额：
$ 64.55万
依托单位：
UNIV OF NORTH CAROLINA CHAPEL HILL
依托单位国家：
美国
项目类别：
财政年份：
2022
资助国家：
美国
起止时间：
2022-04-18 至 2027-02-28
项目状态：
未结题

来源：
https://reporter.nih.gov/project-details/10467348
关键词：
ATAC-seq Acute Address Adverse effects Affect Air Air Pollutants Air Pollution Alleles Applications Grants Asthma Binding Biological Biological Models Black race CRISPR/Cas technology Candidate Disease Gene Cardiopulmonary Cell model Cells Cellular biology Chromatin Complex DNA-Binding Proteins Data Data Set Development Epithelial Cells Exhibits Exposure to GSTM1 gene Gene Expression Gene Expression Regulation Genes Genetic Genetic Determinism Genetic Transcription Genome Genomics Genotype Goals Human Human Volunteers IL8 gene In Vitro Individual Individual Differences Inflammation Inflammatory Link Lipid Peroxidation Lipid Peroxides Lipids Liquid substance Lung Lung diseases MUC5AC gene Maps Measures Mediating Mediation Modeling Molecular Morbidity - disease rate Multiomic Data Natural Immunity Neutrophil Infiltration Oxidative Stress Ozone Participant Persons Phenotype Predisposition Prevention Production Public Health Quantitative Trait Loci Reaction Reactive Oxygen Species Regulator Genes Regulatory Element Reporter Genes Reproducibility Research Personnel Respiratory Disease Respiratory System Rest Role Sampling Single Nucleotide Polymorphism Specificity Structure of parenchyma of lung Suggestion Testing Tissue Donors Toxicology Validation Variant Work adverse outcome air filter airway epithelium airway inflammation asthmatic bronchial epithelium causal model cell type chemokine cytokine cytotoxicity data integration epigenome epigenomics epithelial injury exposed human population gene environment interaction genetic variant in vivo innovation insight interest knock-down mortality multiple omics neutrophil novel ozone exposure pulmonary function response sex single-cell RNA sequencing trait transcription factor transcriptome sequencing

项目摘要

Project Summary Exposure to the ambient air pollutant ozone (O3) is associated with cardiopulmonary morbidity and mortality, rendering it an important public health issue. Controlled exposure studies show that acute O3 exposure causes airway inflammation, epithelial injury, and a transient decrease in lung function. These studies have also demonstrated that subjects exhibit highly reproducible differences in O3 response, suggestive of gene-by- environment interactions (GxE). Candidate gene studies have provided evidence of GxE for a handful of genes, however, the role of genetic variants in the rest of the genome is largely unknown. This data gap limits our ability to identify susceptible individuals and gain insight into mechanisms by which O3 causes adverse effects. Here, we put forth a proposal to address this data gap using human bronchial epithelial cells (hBECs) in vitro. hBECs are the first cells of the respiratory tract to interact with O3, and we have shown that hBECs exposed to O3 in vitro upregulate the expression of key pro-inflammatory genes (e.g., CXCL8), mirroring the in vivo response. We hypothesize that variation in O3-induced inflammation is associated with differences in hBEC gene expression, and that inter-individual differences in gene expression at baseline and after O3 have a genetic basis, i.e., are expression quantitative trait loci (eQTL). Further, we hypothesize that some eQTL are caused by single nucleotide polymorphisms (SNPs) that affect chromatin accessibility (caQTL). In Aim 1, we will establish well- differentiated hBEC cultures, grown at air-liquid interface, from 300 banked lung tissue donors of both sexes and diverse ancestries, then expose them to O3 vs. filtered air (FA) and measure key hBEC O3 response phenotypes (e.g. IL-8 production, oxidative stress, lipid peroxidation, barrier function, and cytotoxicity). We will profile gene expression in FA and O3-exposed hBECs using both bulk RNA-seq and single cell RNA-seq to identify O3- induced/repressed genes and their cell-type specificity. After genotyping, we will map eQTL at baseline (mRNAFA), response eQTL (mRNAO3-mRNAFA), and QTL for all hBEC O3 response phenotypes, then use mediation analyses to identify SNPs and genes fitting a putative causal model: O3+SNP → [mRNA] → hBEC O3 response phenotype. In Aim 2, we will perform ATAC-seq to characterize how O3 alters chromatin accessibility in hBECs, then map baseline and response caQTL. We will perform multi-omic data integration (eQTL, caQTL, QTL) to identify gene regulatory models of O3 response, i.e., O3+SNP→chromatin accessibility→[mRNA]→hBEC O3 response phenotype. Finally, in Aim 3, we will validate novel genes and gene regulatory mechanisms underlying variation in O3 response in vitro and in vivo. We will determine how key SNPs affect gene regulation and whether knocking down the corresponding genes alters O3 response in vitro. For in vivo validation, we will test for association between SNPs of interest and O3-induced neutrophil recruitment in a dataset of 191 human volunteers exposed to O3. In total, our work will identify genetic variants and gene regulatory mechanisms that influence susceptibility to O3-induced airway inflammation.

项目总结