Literature DB >> 27498811

Oxidative Damage Induced by Arsenic in Mice or Rats: A Systematic Review and Meta-Analysis.

Mengchuan Xu1, Dongsheng Rui1, Yizhong Yan1, Shangzhi Xu1, Qiang Niu1, Gangling Feng1, Yan Wang1, Shugang Li2, Mingxia Jing3.   

Abstract

In this meta-analysis, studies reporting arsenic-induced oxidative damage in mouse models were systematically evaluated to provide a scientific understanding of oxidative stress mechanisms associated with arsenic poisoning. Fifty-eight relevant peer-reviewed publications were identified through exhaustive database searching. Oxidative stress indexes assessed included superoxide dismutase (SOD), catalase (CAT), glutathione (GSH), glutathione peroxidase (GPx), glutathione-s-transferase (GST), glutathione reductase (GR), oxidized glutathione (GSSG), malondialdehyde (MDA), and reactive oxygen species (ROS). Our meta-analysis showed that arsenic exposure generally suppressed measured levels of the antioxidants, SOD, CAT, GSH, GPx, GST, and GR, but increased levels of the oxidants, GSSG, MDA, and ROS. Arsenic valence was important and GR and MDA levels increased to a significantly (P < 0.05) greater extent upon exposure to As3+ than to As5+. Other factors that contributed to a greater overall oxidative effect from arsenic exposure included intervention time, intervention method, dosage, age of animals, and the sample source from which the indexes were estimated. Our meta-analysis effectively summarized a wide range of studies and detected a positive relationship between arsenic exposure and oxidative damage. These data provide a scientific basis for the prevention and treatment of arsenic poisoning.

Entities:  

Keywords:  Arsenic; Meta-analysis; Oxidative stress; Systematic review

Mesh:

Substances:

Year:  2016        PMID: 27498811     DOI: 10.1007/s12011-016-0810-4

Source DB:  PubMed          Journal:  Biol Trace Elem Res        ISSN: 0163-4984            Impact factor:   3.738


  10 in total

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Review 3.  Meta-analysis of TLR4 pathway-related protein alterations induced by arsenic exposure.

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4.  Association of low blood arsenic exposure with level of malondialdehyde among Chinese adults aged 65 and older.

Authors:  Qiyue Tan; Yuebin Lv; Feng Zhao; Jinhui Zhou; Yang Yang; Yingchun Liu; Mingyuan Zhang; Feng Lu; Yuan Wei; Xin Chen; Ruizhi Zhang; Chen Chen; Bing Wu; Xiaochang Zhang; Chengcheng Li; Hongyuan Huang; Junfang Cai; Zhaojin Cao; Di Yu; John S Ji; Shuhua Zhao; Xiaoming Shi
Journal:  Sci Total Environ       Date:  2020-11-19       Impact factor: 7.963

Review 5.  Biological effects and epidemiological consequences of arsenic exposure, and reagents that can ameliorate arsenic damage in vivo.

Authors:  Chinthalapally V Rao; Sanya Pal; Altaf Mohammed; Mudassir Farooqui; Mark P Doescher; Adam S Asch; Hiroshi Y Yamada
Journal:  Oncotarget       Date:  2017-05-10

6.  Strain differences in arsenic-induced oxidative lesion via arsenic biomethylation between C57BL/6J and 129X1/SvJ mice.

Authors:  Ruirui Wu; Xiafang Wu; Huihui Wang; Xin Fang; Yongfang Li; Lanyue Gao; Guifan Sun; Jingbo Pi; Yuanyuan Xu
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7.  Inorganic arsenic causes fatty liver and interacts with ethanol to cause alcoholic liver disease in zebrafish.

Authors:  Kathryn Bambino; Chi Zhang; Christine Austin; Chitra Amarasiriwardena; Manish Arora; Jaime Chu; Kirsten C Sadler
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8.  Plasma Metal Concentrations and Incident Coronary Heart Disease in Chinese Adults: The Dongfeng-Tongji Cohort.

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Journal:  Environ Health Perspect       Date:  2017-10-19       Impact factor: 9.031

9.  Arsenic induced redox imbalance triggers the unfolded protein response in the liver of zebrafish.

Authors:  Patrice Delaney; Anjana Ramdas Nair; Catherine Palmer; Nouf Khan; Kirsten C Sadler
Journal:  Toxicol Appl Pharmacol       Date:  2020-11-02       Impact factor: 4.219

10.  Proanthocyanidins Antagonize Arsenic-Induced Oxidative Damage and Promote Arsenic Methylation through Activation of the Nrf2 Signaling Pathway.

Authors:  Mengchuan Xu; Qiang Niu; Yunhua Hu; Gangling Feng; Haixia Wang; Shugang Li
Journal:  Oxid Med Cell Longev       Date:  2019-01-20       Impact factor: 6.543

  10 in total

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