A cross-omics toxicological evaluation of drinking water treated with different processes

Peng Shi; Shuyu Jia; Xu-Xiang Zhang; Fuzheng Zhao; Yajun Chen; Qing Zhou; Shupei Cheng; Ai-Min Li

doi:10.1016/j.jhazmat.2014.02.007

A cross-omics toxicological evaluation of drinking water treated with different processes

J Hazard Mater. 2014 Apr 30:271:57-64. doi: 10.1016/j.jhazmat.2014.02.007. Epub 2014 Feb 15.

Authors

Peng Shi¹, Shuyu Jia¹, Xu-Xiang Zhang², Fuzheng Zhao¹, Yajun Chen¹, Qing Zhou³, Shupei Cheng¹, Ai-Min Li⁴

Affiliations

¹ State Key Laboratory of Pollution Control and Resource Reuse, Environmental Health Research Center, School of the Environment, Nanjing University, Nanjing 210023, China.
² State Key Laboratory of Pollution Control and Resource Reuse, Environmental Health Research Center, School of the Environment, Nanjing University, Nanjing 210023, China; Collaborative Innovation Center for Advanced Water Pollution Control Technology and Equipment, Nanjing 210023, China. Electronic address: zhangxx@nju.edu.cn.
³ State Key Laboratory of Pollution Control and Resource Reuse, Environmental Health Research Center, School of the Environment, Nanjing University, Nanjing 210023, China; Collaborative Innovation Center for Advanced Water Pollution Control Technology and Equipment, Nanjing 210023, China; National Engineering Research Center of Organic Pollution Control and Resource Reuse, Nanjing 210023, China.
⁴ State Key Laboratory of Pollution Control and Resource Reuse, Environmental Health Research Center, School of the Environment, Nanjing University, Nanjing 210023, China; Collaborative Innovation Center for Advanced Water Pollution Control Technology and Equipment, Nanjing 210023, China; National Engineering Research Center of Organic Pollution Control and Resource Reuse, Nanjing 210023, China. Electronic address: liaimin@nju.edu.cn.

PMID: 24598031
DOI: 10.1016/j.jhazmat.2014.02.007

Abstract

Cross-omics profiling and phenotypic analysis were conducted to comprehensively assess the toxicities of source of drinking water (SDW), effluent of conventional treatment (ECT) and effluent of advanced treatment (EAT) in a water treatment plant. SDW feeding increased body weight, and relative liver and kidney weights of mice. Hepatic histopathological damages and serum biochemical alterations were observed in the mice fed with SDW and ECT, but EAT feeding showed no obvious effects. Transcriptomic analysis demonstrated that exposure to water samples caused differential expression of hundreds of genes in livers. Cluster analysis of the differentially expressed genes which generated by both microarrays and digital gene expression showed similar grouping patterns. Proteomic and metabolomics analyses indicated that drinking SDW, ECT and EAT generated 59, 145 and 41 significantly altered proteins in livers and 8, 2 and 0 altered metabolites in serum, respectively. SDW was found to affect several metabolic pathways including metabolism of xenobiotics by cytochrome P450 and fatty acid metabolism. SDW and ECT might induce molecular toxicities to mice, but the advanced treatment process can reduce the potential health risk by effectively removing toxic chemicals in drinking water.

Keywords: Drinking water; Health risk; Metabolomics; Proteomics; Transcriptomics.

Publication types

Research Support, Non-U.S. Gov't

MeSH terms

Animals
Drinking Water*
Kidney / drug effects
Kidney / pathology
Liver / drug effects*
Liver / metabolism
Liver / pathology
Male
Mice
Oligonucleotide Array Sequence Analysis
Organ Size / drug effects
Proteomics
Water Pollutants, Chemical / toxicity*
Water Purification / methods*

Substances

Drinking Water
Water Pollutants, Chemical