Neurotoxicity and brain metabolic dysfunction induced by long-term food-derived arsenic exposure

神经毒性 期限(时间) 毒理 环境化学 医学 毒性 化学 生物 内科学 物理 量子力学 有机化学
作者
Zujian Huang,Lianxian Guo,Jieliang Huang,Xu Che,Jiadi Sun,Yongli Ye,Lina Sheng,Yinzhi Zhang,Jianzhong Zhou,Jian Ji,Xiu‐Lan Sun
出处
期刊:Food bioscience [Elsevier]
卷期号:59: 103804-103804
标识
DOI:10.1016/j.fbio.2024.103804
摘要

Rice consumption are a major cause of long-term exposure to arsenic. However, the exact mechanism of the neurotoxic action caused by arsenic exposure remain elusive. The purpose of this study was to investigate the effects of arsenic exposure on the behavior and neuronal structure of Caenorhabditis elegans, followed by the establishment of a 14-month mice model to simulate long-term effects. To elucidate the toxic effects of arsenic on brain metabolism, comprehensive analyses of neurotransmitter content and brain metabolomics were conducted. The findings demonstrated that arsenic exposure led to behavioral impairment, reduced levels of glutamatergic, GABAergic, dopaminergic and serotonergic neurotransmitters, as well as structural abnormalities. The majority of amino acid and fatty acid compounds were found to be upregulated in the hippocampus and cortical tissues. Respectively, an increase in nucleic acid and hydroxy acid-related compounds was observed in hippocampal tissues, while an upregulation of purine ribose-related compounds was detected in cortical tissues. The identified differential metabolites were primarily impacted by glutathione metabolism, arginine and proline metabolism, as well as alanine, aspartate, and glutamate metabolism. Correlation analysis of the hippocampus and cortex yielded compelling evidence of a strong association between glutamate and the majority of the presented metabolites.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
大幅提高文件上传限制,最高150M (2024-4-1)

科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
刚刚
刚刚
思源应助shawn采纳,获得10
刚刚
刚刚
开朗尔冬发布了新的文献求助10
刚刚
刚刚
刚刚
小二郎应助xsw采纳,获得30
刚刚
张小小发布了新的文献求助10
1秒前
Olivia完成签到,获得积分10
2秒前
3秒前
KY寜完成签到,获得积分10
3秒前
3秒前
4秒前
Olivia发布了新的文献求助10
5秒前
fay1987发布了新的文献求助10
5秒前
努力读文献的夏夏完成签到 ,获得积分10
6秒前
7秒前
爱笑水壶完成签到,获得积分10
7秒前
grmqgq发布了新的文献求助10
7秒前
KY寜发布了新的文献求助10
7秒前
柯伯云发布了新的文献求助10
7秒前
粥粥发布了新的文献求助30
7秒前
cctv18应助playgirl02采纳,获得50
8秒前
14秒前
15秒前
单纯平松关注了科研通微信公众号
16秒前
胡小月发布了新的文献求助10
16秒前
17秒前
顾矜应助研友_LN32Mn采纳,获得10
18秒前
柯伯云完成签到,获得积分20
19秒前
ZS完成签到 ,获得积分10
19秒前
wanci应助嘴巴张大一点采纳,获得10
20秒前
21秒前
22秒前
香蕉觅云应助grmqgq采纳,获得10
22秒前
华仔应助kiri采纳,获得10
23秒前
厄尔尼诺发布了新的文献求助30
23秒前
菲1208完成签到,获得积分10
23秒前
自由的语兰完成签到,获得积分10
23秒前
高分求助中
Sustainable Land Management: Strategies to Cope with the Marginalisation of Agriculture 1000
Corrosion and Oxygen Control 600
Yaws' Handbook of Antoine coefficients for vapor pressure 500
Python Programming for Linguistics and Digital Humanities: Applications for Text-Focused Fields 500
Division and square root. Digit-recurrence algorithms and implementations 400
行動データの計算論モデリング 強化学習モデルを例として 400
Johann Gottlieb Fichte: Die späten wissenschaftlichen Vorlesungen / IV,1: ›Transzendentale Logik I (1812)‹ 400
热门求助领域 (近24小时)
化学 材料科学 医学 生物 有机化学 工程类 生物化学 纳米技术 物理 内科学 计算机科学 化学工程 复合材料 遗传学 基因 物理化学 催化作用 电极 光电子学 量子力学
热门帖子
关注 科研通微信公众号,转发送积分 2552722
求助须知:如何正确求助?哪些是违规求助? 2178257
关于积分的说明 5613603
捐赠科研通 1899219
什么是DOI,文献DOI怎么找? 948285
版权声明 565546
科研通“疑难数据库(出版商)”最低求助积分说明 504327