Elucidating the associations and molecular mechanisms of perfluoroalkyl substances exposure with type 2 diabetes and its complications: A multifaceted approach

2型糖尿病 糖尿病 化学 环境化学 医学 内分泌学
作者
Xinghai Liu,Xin Wang,Li Wang
出处
期刊:Ecotoxicology and Environmental Safety [Elsevier BV]
卷期号:303: 118914-118914 被引量:2
标识
DOI:10.1016/j.ecoenv.2025.118914
摘要

BACKGROUND: Environmental pollutants, such as perfluoroalkyl substances (PFASs), have been implicated in various human diseases. Despite growing evidence from observational studies linking PFASs to type 2 diabetes (T2D), results have been inconsistent. This study aims to investigate the relationships between PFASs exposure and the onset of T2D and its complications, and to elucidate the underlying molecular mechanisms. METHODS: Mendelian randomization (MR) analysis was conducted to evaluate the relationships between PFASs exposure and the onset of T2D and its complications. PFASs data were sourced from the GWAS Catalog, while T2D and its complications data were retrieved from the FinnGen database. Network toxicology was utilized to investigate the potential molecular mechanisms underlying the significant associations between compounds and diseases. Molecular docking and molecular dynamics simulations were employed to verify the binding stability between the compounds and their core target genes. RESULTS: PFOS exhibited a statistically significant positive association with the risk of diabetic retinopathy (DR) (P < 0.05, OR > 1). 200 intersection targets were obtained, among which EGFR, ESR1, and MMP9 were identified as core targets. Molecular docking and molecular dynamics simulations indicated that PFOS had strong binding affinity with these core targets. Additionally, PFOS might influence DR by mainly modulating the FoxO signaling pathway. CONCLUSIONS: PFOS is significantly associated with DR. EGFR, ESR1, and MMP9 have been identified as core targets associated with DR. These findings may elucidate the mechanisms by which environmental pollutants contribute to the development of DR.
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
科研精留下了新的社区评论
刚刚
1秒前
1秒前
1秒前
在水一方的应助被健康的悲采纳,获得30
1秒前
ineout完成签到,获得积分10
2秒前
sunny发布了新的文献求助10
2秒前
uiiii发布了新的文献求助10
3秒前
xudaniel发布了新的文献求助10
3秒前
噜啦啦发布了新的文献求助10
3秒前
何夕完成签到,获得积分10
4秒前
李健的应助被呵呵呵采纳,获得10
5秒前
tira完成签到,获得积分10
5秒前
缓慢的夕阳完成签到,获得积分10
5秒前
Ethelice发布了新的文献求助10
6秒前
LLLIIICCC发布了新的文献求助10
6秒前
7秒前
zztsg111完成签到,获得积分10
7秒前
隐形又柔发布了新的文献求助10
8秒前
10秒前
10秒前
11秒前
11秒前
果枳完成签到,获得积分10
12秒前
12秒前
孔夫子完成签到,获得积分20
13秒前
zzj完成签到,获得积分10
13秒前
13秒前
13秒前
14秒前
研友_V8R16Z发布了新的文献求助10
14秒前
Vv完成签到,获得积分10
14秒前
大个的应助被egggg采纳,获得30
15秒前
15秒前
ludy完成签到 ,获得积分10
15秒前
ASDq发布了新的文献求助10
16秒前
19978923839发布了新的文献求助10
17秒前
guozy完成签到,获得积分10
17秒前
老实的又亦完成签到,获得积分20
17秒前
柳叶完成签到,获得积分10
17秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Rosenblum, Global Change Biology 800
自動車の空力技術 800
Organizational Behavior 510
Management and the Arts 510
Geschichtliche Grundbegriffe (GGB), Band 5: Pro–Soz 300
Die Religion in Geschichte und Gegenwart (RGG), 4. Auflage, Band 7: R–S 300
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 计算机科学 化学工程 工程类 有机化学 物理 复合材料 生物化学 内科学 细胞生物学 基因 遗传学 免疫学 冶金 光电子学 癌症研究
热门帖子
关注 科研通微信公众号,转发送积分 7790312
求助须知:如何正确求助?哪些是违规求助? 9327918
关于积分的说明 20420336
捐赠科研通 7379953
什么是DOI,文献DOI怎么找? 3323054
关于科研通互助平台的介绍 2470946
邀请新用户注册赠送积分活动 2339947