Efficient analysis of toxicity and mechanisms of environmental pollutants with network toxicology and molecular docking strategy: Acetyl tributyl citrate as an example

药理学 对接(动物) 毒性 发育毒性 小桶 化学 生物信息学 医学 生物 生物化学 基因表达 护理部 有机化学 怀孕 妊娠期 转录组 基因 遗传学
作者
Shujun Huang
出处
期刊:Science of The Total Environment [Elsevier BV]
卷期号:905: 167904-167904 被引量:41
标识
DOI:10.1016/j.scitotenv.2023.167904
摘要

The study aims to promote network toxicology strategy to efficiently investigate the putative toxicity and underlying molecular mechanisms of environmental pollutants through an example of exploring brain injury induced by ATBC exposure. By utilizing ChEMBL, STITCH, GeneCards, and OMIM databases, we identified 213 potential targets associated with ATBC exposure and brain injury. Further refinements via STRING and Cytoscape software highlight 23 core targets, including AKT1, CASP3, and HSP90AA1. GO and KEGG pathway analysis conducted through DAVID and FUMA databases reveal that core targets of ATBC-induced brain toxicity are predominantly enriched in cancer signaling and neuroactive ligand receptor interaction pathways. Molecular docking was performed with Autodock, which confirmed robust binding between ATBC and core targets. Together, these findings suggest that ATBC may impact the occurrence and development of brain cancer and brain related inflammation, whereas pose risks for cognitive impairment and neurodegeneration, by modulating the apoptosis and proliferation of brain cancer cells, activating inflammatory signaling pathways, and regulating neuroplasticity. This research provides a theoretical basis for understanding the molecular mechanism of ATBC-induced brain toxicity, as well as establishing a foundation for the prevention and treatment of prostatic diseases associated with exposure to plastic products containing ATBC and certain ATBC-overwhelmed environments. Moreover, our network toxicology approach also expedites the elucidation of toxicity pathways for uncharacterized environmental chemicals.
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
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
SciGPT应助o原来是草莓吖采纳,获得10
1秒前
1秒前
爆米花应助Sususoule采纳,获得10
2秒前
3秒前
Enoch发布了新的文献求助10
4秒前
研友_VZG7GZ应助甜蜜水蜜桃采纳,获得10
4秒前
量子星尘发布了新的文献求助10
5秒前
9秒前
9秒前
圈圈发布了新的文献求助10
9秒前
科研通AI2S应助Lucia采纳,获得10
10秒前
bkagyin应助Lucia采纳,获得10
10秒前
懦弱的难敌完成签到,获得积分10
11秒前
11秒前
酷波er应助jdj采纳,获得30
11秒前
13秒前
14秒前
15秒前
fabian发布了新的文献求助10
15秒前
量子星尘发布了新的文献求助10
16秒前
lcs发布了新的文献求助10
16秒前
17秒前
17秒前
陈龙完成签到,获得积分10
19秒前
幸福大白发布了新的文献求助30
20秒前
优美匕发布了新的文献求助10
21秒前
任性的白玉完成签到 ,获得积分10
23秒前
量子星尘发布了新的文献求助10
24秒前
Ava应助圈圈采纳,获得10
24秒前
爱学习的瑞瑞子完成签到 ,获得积分10
26秒前
26秒前
可爱的函函应助优美匕采纳,获得10
28秒前
鲤角兽完成签到,获得积分10
28秒前
28秒前
我是老大应助健康的寄风采纳,获得10
29秒前
量子星尘发布了新的文献求助10
30秒前
Orange应助lcs采纳,获得10
30秒前
31秒前
陈st完成签到 ,获得积分10
32秒前
科目三应助Chuwei采纳,获得10
33秒前
高分求助中
Production Logging: Theoretical and Interpretive Elements 2700
An experimental and analytical investigation on the fatigue behaviour of fuselage riveted lap joints: The significance of the rivet squeeze force, and a comparison of 2024-T3 and Glare 3 1000
Neuromuscular and Electrodiagnostic Medicine Board Review 1000
Statistical Methods for the Social Sciences, Global Edition, 6th edition 600
こんなに痛いのにどうして「なんでもない」と医者にいわれてしまうのでしょうか 510
ALUMINUM STANDARDS AND DATA 500
Walter Gilbert: Selected Works 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 物理 生物化学 纳米技术 计算机科学 化学工程 内科学 复合材料 物理化学 电极 遗传学 量子力学 基因 冶金 催化作用
热门帖子
关注 科研通微信公众号,转发送积分 3664444
求助须知:如何正确求助?哪些是违规求助? 3224488
关于积分的说明 9757694
捐赠科研通 2934379
什么是DOI,文献DOI怎么找? 1606832
邀请新用户注册赠送积分活动 758873
科研通“疑难数据库(出版商)”最低求助积分说明 735012