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Gas chromatography-mass spectrometry based metabolomics profile of hippocampus and cerebellum in mice after chronic arsenic exposure.
Mo, Ting-Ting; Dai, Hua; Du, Hang; Zhang, Rui-Yuan; Chai, Ke-Ping; An, Yao; Chen, Ji-Ji; Wang, Jun-Ke; Chen, Zi-Jin; Chen, Cheng-Zhi; Jiang, Xue-Jun; Tang, Rong; Wang, Li-Ping; Tan, Qiang; Tang, Ping; Miao, Xin-Yu; Meng, Pan; Zhang, Long-Bin; Cheng, Shu-Qun; Peng, Bin; Tu, Bai-Jie; Han, Ting-Li; Xia, Yin-Yin; Baker, Philip N.
Affiliation
  • Mo TT; School of Public Health and Management, Research Center for Medicine and Social Development, Innovation Center for Social Risk Governance in Health, Chongqing Medical University, Chongqing, China.
  • Dai H; Department of Public Health, Guiyang Center for Disease Control and Prevention, Guiyang, China.
  • Du H; Center of Experimental Medicine, Chongqing Municipal Hospital for Prevention and Control of Occupational Diseases, Chongqing, China.
  • Zhang RY; School of Public Health and Management, Research Center for Medicine and Social Development, Innovation Center for Social Risk Governance in Health, Chongqing Medical University, Chongqing, China.
  • Chai KP; School of Public Health and Management, Research Center for Medicine and Social Development, Innovation Center for Social Risk Governance in Health, Chongqing Medical University, Chongqing, China.
  • An Y; School of Public Health and Management, Research Center for Medicine and Social Development, Innovation Center for Social Risk Governance in Health, Chongqing Medical University, Chongqing, China.
  • Chen JJ; School of Public Health and Management, Research Center for Medicine and Social Development, Innovation Center for Social Risk Governance in Health, Chongqing Medical University, Chongqing, China.
  • Wang JK; School of Public Health and Management, Research Center for Medicine and Social Development, Innovation Center for Social Risk Governance in Health, Chongqing Medical University, Chongqing, China.
  • Chen ZJ; School of Public Health and Management, Research Center for Medicine and Social Development, Innovation Center for Social Risk Governance in Health, Chongqing Medical University, Chongqing, China.
  • Chen CZ; School of Public Health and Management, Research Center for Medicine and Social Development, Innovation Center for Social Risk Governance in Health, Chongqing Medical University, Chongqing, China.
  • Jiang XJ; School of Public Health and Management, Research Center for Medicine and Social Development, Innovation Center for Social Risk Governance in Health, Chongqing Medical University, Chongqing, China.
  • Tang R; School of Public Health and Management, Research Center for Medicine and Social Development, Innovation Center for Social Risk Governance in Health, Chongqing Medical University, Chongqing, China.
  • Wang LP; School of Public Health and Management, Research Center for Medicine and Social Development, Innovation Center for Social Risk Governance in Health, Chongqing Medical University, Chongqing, China.
  • Tan Q; School of Public Health and Management, Research Center for Medicine and Social Development, Innovation Center for Social Risk Governance in Health, Chongqing Medical University, Chongqing, China.
  • Tang P; School of Public Health and Management, Research Center for Medicine and Social Development, Innovation Center for Social Risk Governance in Health, Chongqing Medical University, Chongqing, China.
  • Miao XY; School of Public Health and Management, Research Center for Medicine and Social Development, Innovation Center for Social Risk Governance in Health, Chongqing Medical University, Chongqing, China.
  • Meng P; School of Public Health and Management, Research Center for Medicine and Social Development, Innovation Center for Social Risk Governance in Health, Chongqing Medical University, Chongqing, China.
  • Zhang LB; School of Public Health and Management, Research Center for Medicine and Social Development, Innovation Center for Social Risk Governance in Health, Chongqing Medical University, Chongqing, China.
  • Cheng SQ; School of Public Health and Management, Research Center for Medicine and Social Development, Innovation Center for Social Risk Governance in Health, Chongqing Medical University, Chongqing, China.
  • Peng B; Department of Statistics, School of Public Health and Management, Chongqing Medical University, Chongqing, China.
  • Tu BJ; School of Public Health and Management, Research Center for Medicine and Social Development, Innovation Center for Social Risk Governance in Health, Chongqing Medical University, Chongqing, China.
  • Han TL; The Liggins Institute, University of Auckland, Auckland, New Zealand.
  • Xia YY; China-Canada-New Zealand Joint Laboratory of Maternal and Fetal Medicine, Chongqing Medical University, Chongqing, China.
  • Baker PN; School of Public Health and Management, Research Center for Medicine and Social Development, Innovation Center for Social Risk Governance in Health, Chongqing Medical University, Chongqing, China.
Environ Toxicol ; 34(2): 103-111, 2019 Feb.
Article in En | MEDLINE | ID: mdl-30375170
Intake of arsenic (As) via drinking water has been a serious threat to global public health. Though there are numerous reports of As neurotoxicity, its pathogenesis mechanisms remain vague especially its chronic effects on metabolic network. Hippocampus is a renowned area in relation to learning and memory, whilst recently, cerebellum is argued to be involved with process of cognition. Therefore, the study aimed to explore metabolomics alternations in these two areas after chronic As exposure, with the purpose of further illustrating details of As neurotoxicity. Twelve 3-week-old male C57BL/6J mice were divided into two groups, receiving deionized drinking water (control group) or 50 mg/L of sodium arsenite (via drinking water) for 24 weeks. Learning and memory abilities were tested by Morris water maze (MWM) test. Pathological and morphological changes of hippocampus and cerebellum were captured via transmission electron microscopy (TEM). Metabolic alterations were analyzed by gas chromatography-mass spectrometry (GC-MS). MWM test confirmed impairments of learning and memory abilities of mice after chronic As exposure. Metabolomics identifications indicated that tyrosine increased and aspartic acid (Asp) decreased simultaneously in both hippocampus and cerebellum. Intermediates (succinic acid) and indirect involved components of tricarboxylic acid cycle (proline, cysteine, and alanine) were found declined in cerebellum, indicating disordered energy metabolism. Our findings suggest that these metabolite alterations are related to As-induced disorders of amino acids and energy metabolism, which might therefore, play an important part in mechanisms of As neurotoxicity.
Subject(s)
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Arsenic / Water Pollutants, Chemical / Cerebellum / Metabolic Networks and Pathways / Hippocampus Type of study: Prognostic_studies Limits: Animals Language: En Journal: Environ Toxicol Journal subject: SAUDE AMBIENTAL / TOXICOLOGIA Year: 2019 Document type: Article Affiliation country: Country of publication:

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Arsenic / Water Pollutants, Chemical / Cerebellum / Metabolic Networks and Pathways / Hippocampus Type of study: Prognostic_studies Limits: Animals Language: En Journal: Environ Toxicol Journal subject: SAUDE AMBIENTAL / TOXICOLOGIA Year: 2019 Document type: Article Affiliation country: Country of publication: