Association of genetic polymorphisms with mercapturic acids in the urine of young healthy subjects before and after exposure to outdoor air pollution.
Wenping SongLingjie BianMengran XiongYuanyuan DuanYi WangXia ZhangBiao LiYulong DaiJiawei LuMeng LiZhiguo LiuShigang LiuLi ZhangHongjuan YaoRongguang ShaoGuangxi LiLiang LiPublished in: International journal of environmental health research (2022)
We aimed to identify the relationship between variations in metabolic genes and human urinary changes in mercapturic acids (MAs), including CEMA, HMPMA, SPMA, HPMA and HEMA, before and after air pollution exposure. Genotype detection for 47 relevant single nucleotide polymorphisms (SNPs) collected by literature research was performed. Five MAs expression levels in the urinary samples of 50 young healthy individuals with short-term exposure to clean, polluted and purified air at five time points were detected by targeted online solid-phase extraction liquid chromatography tandem mass spectrometry (SPE-LC-MS/MS), followed with associations of SNPs with MAs changes. Difference in MAs between polluted and clean/purified air was significantly associated with 21 SNPs mapped into 9 genes. Five SNPs in GSTP1 showed the most prominent association with the changes in SPMA expression, indicating that those SNPs in GSTP1 and SPMA might serve as biomarkers for susceptibility and the prognosis of lung cancer.
Keyphrases
- genome wide
- liquid chromatography tandem mass spectrometry
- solid phase extraction
- air pollution
- simultaneous determination
- dna methylation
- high performance liquid chromatography
- ms ms
- molecularly imprinted
- poor prognosis
- genome wide association
- particulate matter
- tandem mass spectrometry
- gas chromatography mass spectrometry
- endothelial cells
- systematic review
- heavy metals
- liquid chromatography
- middle aged
- lung function
- ultra high performance liquid chromatography
- binding protein
- gas chromatography
- long non coding rna
- social media
- gene expression
- transcription factor
- healthcare
- chronic obstructive pulmonary disease
- high resolution
- mass spectrometry
- bioinformatics analysis
- induced pluripotent stem cells
- genome wide analysis