Identification of endocrine-disrupting chemicals targeting key DCM-associated genes via bioinformatics and machine learning

小桶 基因 计算生物学 毒理基因组学 生物信息学 生物 全基因组关联研究 单核苷酸多态性 遗传学 转录组 基因表达 基因型
作者
Shu Li,Shuice Liu,Xuefei Sun,Liying Hao,Qinghua Gao
出处
期刊:Ecotoxicology and Environmental Safety [Elsevier BV]
卷期号:274: 116168-116168 被引量:1
标识
DOI:10.1016/j.ecoenv.2024.116168
摘要

Dilated cardiomyopathy (DCM) is a primary cause of heart failure (HF), with the incidence of HF increasing consistently in recent years. DCM pathogenesis involves a combination of inherited predisposition and environmental factors. Endocrine-disrupting chemicals (EDCs) are exogenous chemicals that interfere with endogenous hormone action and are capable of targeting various organs, including the heart. However, the impact of these disruptors on heart disease through their effects on genes remains underexplored. In this study, we aimed to explore key DCM-related genes using machine learning (ML) and the construction of a predictive model. Using the Gene Expression Omnibus (GEO) database, we screened differentially expressed genes (DEGs) and performed enrichment analyses of Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways related to DCM. Through ML techniques combining maximum relevance minimum redundancy (mRMR) and least absolute shrinkage and selection operator (LASSO) logistic regression, we identified key genes for predicting DCM (IL1RL1, SEZ6L, SFRP4, COL22A1, RNASE2, HB). Based on these key genes, 79 EDCs with the potential to affect DCM were identified, among which 4 (3,4-dichloroaniline, fenitrothion, pyrene, and isoproturon) have not been previously associated with DCM. These findings establish a novel relationship between the EDCs mediated by key genes and the development of DCM.
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
PDF的下载单位、IP信息已删除 (2025-6-4)

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
谁又动了我的液相完成签到,获得积分10
1秒前
1秒前
wzjs发布了新的文献求助30
2秒前
plmm完成签到,获得积分10
2秒前
深情安青应助包容的觅双采纳,获得30
4秒前
5秒前
5秒前
Hannibal完成签到,获得积分10
6秒前
BING发布了新的文献求助10
6秒前
Allenlee关注了科研通微信公众号
7秒前
吉师大_科研完成签到,获得积分10
7秒前
量子星尘发布了新的文献求助10
7秒前
8秒前
爱跳舞的科研小白完成签到,获得积分10
8秒前
小笼包完成签到,获得积分10
9秒前
9秒前
9秒前
田様应助yiren采纳,获得10
9秒前
李健的小迷弟应助一个采纳,获得10
10秒前
biggun发布了新的文献求助10
10秒前
10秒前
Evelyn发布了新的文献求助10
11秒前
酷波er应助耍酷的梦桃采纳,获得20
11秒前
shengChen完成签到,获得积分10
12秒前
12秒前
Lucas应助壮观的衫采纳,获得10
13秒前
英姑应助huayi采纳,获得10
13秒前
李爱国应助Wacky采纳,获得10
13秒前
嗯哼发布了新的文献求助10
14秒前
fyt723175249发布了新的文献求助10
14秒前
何日寻完成签到,获得积分10
14秒前
17秒前
xmx发布了新的文献求助10
17秒前
优秀若剑完成签到,获得积分10
18秒前
18秒前
SYLH应助DW采纳,获得10
20秒前
20秒前
21秒前
cecily81813发布了新的文献求助10
23秒前
24秒前
高分求助中
A new approach to the extrapolation of accelerated life test data 1000
ACSM’s Guidelines for Exercise Testing and Prescription, 12th edition 500
Picture Books with Same-sex Parented Families: Unintentional Censorship 500
Nucleophilic substitution in azasydnone-modified dinitroanisoles 500
不知道标题是什么 500
A Preliminary Study on Correlation Between Independent Components of Facial Thermal Images and Subjective Assessment of Chronic Stress 500
Phylogenetic study of the order Polydesmida (Myriapoda: Diplopoda) 370
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 生物化学 物理 内科学 纳米技术 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 冶金 细胞生物学 免疫学
热门帖子
关注 科研通微信公众号,转发送积分 3971775
求助须知:如何正确求助?哪些是违规求助? 3516416
关于积分的说明 11182625
捐赠科研通 3251629
什么是DOI,文献DOI怎么找? 1796019
邀请新用户注册赠送积分活动 876216
科研通“疑难数据库(出版商)”最低求助积分说明 805358