TY - JOUR
T1 - Urinary metabolomics revealed arsenic exposure related to metabolic alterations in general Chinese pregnant women
AU - Li, Han
AU - Wang, Mu
AU - Liang, Qiande
AU - Jin, Shuna
AU - Sun, Xiaojie
AU - Jiang, Yangqian
AU - Pan, Xingyun
AU - Zhou, Yanqiu
AU - Peng, Yang
AU - Zhang, Bin
AU - Zhou, Aifen
AU - Zhang, Yiming
AU - Chen, Zhong
AU - Cao, Jiangxia
AU - Zhang, Hongling
AU - Xia, Wei
AU - Zheng, Tongzhang
AU - Cai, Zongwei
AU - Li, Yuanyuan
AU - Xu, Shunqing
N1 - Funding Information:
This work was supported by the National Natural Science Foundation of China (21437002, 81372959, 8140264, 21177046), the R&D Special Fund for Public Welfare Industry (Environment) (201309048), and the Doctoral Fund of Ministry of Education of China (20120142120017).
PY - 2017/1/6
Y1 - 2017/1/6
N2 - Arsenic exposure is considered a major environmental threat to human health. It is already known that high-level arsenic exposure has adverse effects on human health. Since the pregnant women are known to be more susceptible to some chemical exposures than ordinary people, the understanding regarding the health effects of low-level arsenic exposure on pregnant women is critical and remains unclear. The aim of this study is to investigate the urinary metabolic changes of pregnant women exposed to low-dose arsenic, and to identify biomarkers from metabolomics analysis. Urine samples of 246 pregnant women were collected in the first trimester of pregnancy and were divided into three groups based on the tertile distribution of urinary arsenic concentrations which were determined using inductively coupled plasma mass spectrometry (ICP-MS). Changes in the metabolite profile were measured using ultra-performance liquid chromatography coupled with quadrupole time-of-flight tandem mass spectrometry (UPLC/Q-TOF MS). Arsenic- related metabolic biomarkers were investigated by comparing the samples of the first and third tertiles of arsenic exposure classifications using a partial least-squares discriminant model (PLS-DA). Nine urine potential biomarkers were putatively identified, including LysoPC (14:0), glutathione, 18-carboxy-dinor-LTE4, 20-COOH-LTE4, cystathionine ketimin, 1-(beta-D-ribofuranosyl)-1,4-dihydronicotinamide, thiocysteine, p-cresol glucuronide and vanillactic acid. The obtained results showed that environmental arsenic exposure, even at low levels, could cause metabolite alterations in pregnant women which might be associated with adverse health outcomes. This is the first report on metabolic changes in pregnant women for arsenic exposure. The findings may be valuable for the arsenic risk assessment for pregnant women.
AB - Arsenic exposure is considered a major environmental threat to human health. It is already known that high-level arsenic exposure has adverse effects on human health. Since the pregnant women are known to be more susceptible to some chemical exposures than ordinary people, the understanding regarding the health effects of low-level arsenic exposure on pregnant women is critical and remains unclear. The aim of this study is to investigate the urinary metabolic changes of pregnant women exposed to low-dose arsenic, and to identify biomarkers from metabolomics analysis. Urine samples of 246 pregnant women were collected in the first trimester of pregnancy and were divided into three groups based on the tertile distribution of urinary arsenic concentrations which were determined using inductively coupled plasma mass spectrometry (ICP-MS). Changes in the metabolite profile were measured using ultra-performance liquid chromatography coupled with quadrupole time-of-flight tandem mass spectrometry (UPLC/Q-TOF MS). Arsenic- related metabolic biomarkers were investigated by comparing the samples of the first and third tertiles of arsenic exposure classifications using a partial least-squares discriminant model (PLS-DA). Nine urine potential biomarkers were putatively identified, including LysoPC (14:0), glutathione, 18-carboxy-dinor-LTE4, 20-COOH-LTE4, cystathionine ketimin, 1-(beta-D-ribofuranosyl)-1,4-dihydronicotinamide, thiocysteine, p-cresol glucuronide and vanillactic acid. The obtained results showed that environmental arsenic exposure, even at low levels, could cause metabolite alterations in pregnant women which might be associated with adverse health outcomes. This is the first report on metabolic changes in pregnant women for arsenic exposure. The findings may be valuable for the arsenic risk assessment for pregnant women.
KW - Arsenic exposure
KW - Biomarkers
KW - Early pregnancy
KW - ICP-MS
KW - Metabolomics
KW - UPLC/Q-TOF MS
UR - http://www.scopus.com/inward/record.url?scp=85008258242&partnerID=8YFLogxK
U2 - 10.1016/j.chroma.2016.12.007
DO - 10.1016/j.chroma.2016.12.007
M3 - Journal article
C2 - 27988079
AN - SCOPUS:85008258242
SN - 0021-9673
VL - 1479
SP - 145
EP - 152
JO - Journal of Chromatography A
JF - Journal of Chromatography A
ER -