Literature DB >> 33288260

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

Qiyue Tan1, Yuebin Lv2, Feng Zhao2, Jinhui Zhou2, Yang Yang3, Yingchun Liu2, Mingyuan Zhang1, Feng Lu4, Yuan Wei1, Xin Chen1, Ruizhi Zhang5, Chen Chen2, Bing Wu6, Xiaochang Zhang2, Chengcheng Li2, Hongyuan Huang5, Junfang Cai2, Zhaojin Cao2, Di Yu3, John S Ji7, Shuhua Zhao5, Xiaoming Shi8.   

Abstract

High environmental arsenic exposure can increase chronic oxidative stress in experimental studies and in occupational epidemiology studies. Many regulatory agencies have put forth arsenic exposure limits, it is still unclear that whether low environmental arsenic exposure was associated with adverse health outcome in general population. This study aimed to explore the association of low blood arsenic with malondialdehyde in community-dwelling older adults. We used a cross-sectional study of 2384 older adult individuals aged ≥65 years (mean age: 85 years) from the Healthy Aging and Biomarkers Cohort Study in 2017. The median blood arsenic level was 1.41 μg/L. High oxidative stress was categorized according to the 95th percentile of MDA levels (7.47 nmol/mL). Restricted cubic spline models showed that blood arsenic levels were positively associated with malondialdehyde levels (P < 0.01); and the risk of high oxidative stress was no longer significantly increased when blood arsenic level up to 8.74 μg/L. After adjusting for potential confounders, the odds ratios of high oxidative stress for the second, third, and fourth quartiles of blood arsenic were 2.35 (1.11-4.96), 3.87 (1.90-7.91), and 4.18 (2.00-8.72) (Ptrend < 0.01), compared with the first quartile. We concluded that even low arsenic exposure was associated with higher risk of oxidative stress, in a nonlinear dose-response.
Copyright © 2020 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Blood arsenic; Malondialdehyde; Older adults; Restricted cubic spline

Mesh:

Substances:

Year:  2020        PMID: 33288260      PMCID: PMC7897719          DOI: 10.1016/j.scitotenv.2020.143638

Source DB:  PubMed          Journal:  Sci Total Environ        ISSN: 0048-9697            Impact factor:   7.963


  56 in total

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Authors:  Wen-Qi Dong; Hong-Jie Sun; Yu Zhang; Hong-Jun Lin; Jian-Rong Chen; Hua-Chang Hong
Journal:  Chemosphere       Date:  2018-08-03       Impact factor: 7.086

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Journal:  Chemosphere       Date:  2016-05-28       Impact factor: 7.086

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Authors:  Eduardo M Brambila; William E Achanzar; Wei Qu; Mukta M Webber; Michael P Waalkes
Journal:  Toxicol Appl Pharmacol       Date:  2002-09-01       Impact factor: 4.219

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Journal:  Toxicol Sci       Date:  2004-11-10       Impact factor: 4.849

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8.  Metabolism of arsenobetaine in mice, rats and rabbits.

Authors:  M Vahter; E Marafante; L Dencker
Journal:  Sci Total Environ       Date:  1983-09       Impact factor: 7.963

9.  Biomarkers for the evaluation of population health status 16 years after the intervention of arsenic-contaminated groundwater in Xinjiang, China.

Authors:  Faye F Liu; Jian-Ping Wang; Yu-Jian Zheng; Jack C Ng
Journal:  J Hazard Mater       Date:  2013-04-02       Impact factor: 10.588

10.  Plasma-aminothiols status and inverse correlation of total homocysteine with B-vitamins in arsenic exposed population of West Bengal, India.

Authors:  Ashit K Mukherjee; Sujoy K Manna; Sanjit K Roy; Manisha Chakraborty; Surajit Das; Jnan P Naskar
Journal:  J Environ Sci Health A Tox Hazard Subst Environ Eng       Date:  2016-06-23       Impact factor: 2.269

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