Toxic effects of long-term pesticides exposure and key gene discovery.
10.3760/cma.j.cn121094-20210719-00359
- VernacularTitle:长期农药暴露的毒性作用及关键基因发掘
- Author:
Bin Jie JIANG
1
;
Jian Rui DOU
2
;
Lei HAN
3
;
Heng Dong ZHANG
3
;
Feng ZHANG
3
;
Xin LIU
3
Author Information
1. Department of Occupational Disease Control, Wujin Center for Disease Control and Prevention of Changzhou, Changzhou 213164, China.
2. Scenic Area Division, Yangzhou Center for Disease Control and Prevention, Yangzhou 225007, China.
3. Institute of Occupational Disease Prevention, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing 210028, China Jiangsu Preventive Medical Association, Nanjing 210028, China.
- Publication Type:Journal Article
- Keywords:
Bioinformatics analysis;
Differentially expressed genes;
Gene Expression Omnibus;
Key gene;
Pesticides
- MeSH:
Computational Biology/methods*;
Gene Expression Profiling/methods*;
Gene Regulatory Networks;
Genetic Association Studies;
Humans;
Male;
Pesticides/toxicity*
- From:
Chinese Journal of Industrial Hygiene and Occupational Diseases
2022;40(9):641-648
- CountryChina
- Language:Chinese
-
Abstract:
Objective: Bioinformatics methods were used to mine differentially expressed genes (DEGs) and enriched signal pathways induced by chronic pesticide exposure, and explore its potential pathogenic mechanisms and key genes. Methods: In July 2021, high-throughput gene expression profile data related to pesticide toxicity was downloaded from Gene Expression Omnibus (GEO) database to obtain DEGs. The samples were from American male farm workers who had been exposed to pesticides for a long time and other industry workers. The functional enrichment analysis of GO, KEGG and Geme Set Enrichment Analysis (GSEA) were performed by R package clusterProfiler. STRING, Cytoscape and other tools were applied to construct and visualize the protein interaction network. With the help of MCODE and Cytohubba plugins, gene function modules were obtained, and hub gene was screened out. Results: 189 DEGs were screened from GSE30335 dataset, including 101 up-regulated genes and 88 down-regulated genes. The results of GO, KEGG and GSEA were mainly enriched in biological functions such as regulation of neuron projection development, regulation of locomotion, ribosomal protein synthesis, and pathways related to complex nervous system diseases such as Parkinson's disease. And the comprehensive screening showed that KLF1 was the hub gene of pesticide exposure, with a fold change of 0.456 (t=-3.82, P=0.021) . Conclusion: Long term exposure to pesticides results in the differential expression of multiple genes in the exposed population, which may be involved in the pathological changes of nervous system by down regulating KLF1 and related biological pathways.
