Screening serum biomarkers for occupational exposure to titanium dioxide nanoparticles using metabolomics
10.11763/j.issn.2095-2619.2020.06.003
- Author:
Zhangjian CHEN
1
;
Shuo HAN
1
;
Pai ZHENG
1
;
Xiaodong LIU
;
Guang JIA
1
Author Information
1. School of Public Health, Peking University Beijing 100191, China
- Publication Type:Journal Article
- Keywords:
Titanium dioxide nanoparticles;
Metabolomics;
Occupational exposure;
Serum;
Biomarker
- From:
China Occupational Medicine
2020;47(06):633-639
- CountryChina
- Language:Chinese
-
Abstract:
OBJECTIVE: To screen the serum biomarkers in workers occupationally exposed to titanium dioxide nanoparticles(TiO_2 NPs) using metabolomics technology. METHODS: Using a typical sampling method, 56 workers who have occupationally exposed to TiO_(2 )in a TiO_2 NPs manufacturer were selected as the exposure group and 44 employees without occupational exposure to TiO_2 were selected as the control group. The high performance liquid chromatography-mass spectrometry technology was used to perform non-targeted metabolomics detection. The difference in serum metabolite profiles of the TiO_2 NPs exposure group and the control group were analyzed. Key differential metabolites and potential biomarkers were screened. The sensitivity and specificity of biomarkers were assessed through receiver operating characteristic(ROC) curve.RESULTS: We detected a total of 1 492 mass spectrum peaks in serum samples by serum metabolomics analysis, and 413 well-matched metabolites were obtained after annotation and identification. The results of principal component analysis and orthogonal partial least squares discriminant analysis showed that a total of 296 differentially expressed metabolites were found in the serum of individuals of the exposure group compared with the control group(all P<0.01). Among them the relative expression of metabolites increased in 265 species and decreased in 31 species. The ROC analysis results showed that the area under the ROC curve of five metabolites exceeded 0.900, and these metabolites included tanacetol A,(5 E)-2-hydroxy-4-oxobenzopenta-5-en-1-ylacetic acid, triterpene saponins organic compounds, 9,10,13-trihydroxystearic acid, and liquoric acid. The multiple linear regression analysis showed that the relative expression of all the five metabolites were positively correlated with occupational exposure to TiO_2 NPs after adjusting for the influence of confounding factors such as gender, age, body mass index, smoking and drinking(all P<0.01). CONCLUSION: Occupational exposure to TiO_2 NPs could induce changes in serum metabolite profiles. The metabolites represented by tanacetol A in serum can be used as potential biomarkers for indicating occupational exposure to TiO_2 NPs.
