Identification and preliminary validation of differently expressed genes as candidate biomarkers associated with atherosclerosis

生物 小桶 计算生物学 小RNA 微阵列 基因 微阵列分析技术 遗传学 基因表达 转录组
作者
Liqin Zhou,Liping Zhou,Yong‐Min Liang,Congying Chen,Yuanyuan Qian,Dayong Lou,Huanjie Ma,S Alex Wang
出处
期刊:Gene [Elsevier BV]
卷期号:915: 148410-148410
标识
DOI:10.1016/j.gene.2024.148410
摘要

Atherosclerosis (AS) is the primary cause of deadly cardio-cerebro vascular diseases globally. This study aims to explore the key differentially expressed genes (DEGs), potentially serving as predictive biomarkers for AS. Microarray datasets were retrieved from the GEO database for DEGs and DE-miRNAs identification. Then biological function of DEGs were elucidated based on gene ontology (GO) and KEGG pathway enrichment analysis. The protein–protein interaction (PPI) network and DEGs-DE-miRNAs network were constructed, with emphasis on hub DEGs selection and their interconnections. Additionally, receiver operating characteristic (ROC) curve analysis was performed to evaluate the diagnostic precision of hub DEGs for AS. More importantly, an AS Syrian Golden hamster model was established to validate the expression levels of hub DEGs in AS. A total of 203 DEGs and 10 DE-miRNAs were screened, with six genes were chosen as hub DEGs. These DEGs were significantly enriched in AS-related biological processes and pathways, such as immune and inflammatory response, cellular response to IL-1 and TNF, positive regulation of angiogenesis, Type I diabetes mellitus, Cytokine-cytokine receptor interaction, TLR signaling pathway. Also, these DEGs and DE-miRNAs formed a closely-interacted DE-miRNAs - DEGs - KEGG pathway network. Besides, hub DEGs presented promising diagnostic potential for AS (AUC: 0.781 ∼ 0.887). In addition, the protein expression levels of TNF-α, CXCL8, CCL4, IL-1β, CCL3 and CCR8 were significantly increased in AS group Syrian Golden hamsters. The identified candidate genes TNF, CXCL8, CCL4, IL1B, CCL3 and CCR8 may have the potential to serve as prognostic biomarker in diagnosing AS.
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
李健应助小宇OvO采纳,获得10
刚刚
卡卡完成签到 ,获得积分10
刚刚
Lu完成签到,获得积分10
刚刚
白色梨花发布了新的文献求助30
3秒前
渣兔完成签到,获得积分10
3秒前
4652376完成签到 ,获得积分10
8秒前
无情的幻嫣完成签到,获得积分10
8秒前
9秒前
李小小飞完成签到,获得积分10
10秒前
11秒前
hello完成签到,获得积分10
11秒前
我是老大应助无情的幻嫣采纳,获得10
11秒前
Roman完成签到,获得积分10
12秒前
slin_sjtu发布了新的文献求助10
14秒前
周周发布了新的文献求助20
14秒前
小党完成签到,获得积分10
14秒前
15秒前
昏睡的白桃完成签到,获得积分10
15秒前
小宇OvO发布了新的文献求助10
16秒前
jiaolulu发布了新的文献求助10
20秒前
量子星尘发布了新的文献求助10
20秒前
真的不想干活了完成签到,获得积分10
20秒前
美丽的依琴完成签到,获得积分10
21秒前
Xin完成签到,获得积分10
27秒前
Aurora.H完成签到,获得积分10
30秒前
30秒前
FashionBoy应助科研通管家采纳,获得10
31秒前
打打应助科研通管家采纳,获得10
31秒前
Jasper应助科研通管家采纳,获得10
31秒前
Ava应助科研通管家采纳,获得10
31秒前
顾矜应助科研通管家采纳,获得10
31秒前
上官若男应助科研通管家采纳,获得10
31秒前
duckspy发布了新的文献求助10
33秒前
33秒前
33秒前
xiaowan完成签到,获得积分10
34秒前
Terry完成签到,获得积分10
35秒前
张张张哈哈哈完成签到,获得积分10
35秒前
Research完成签到 ,获得积分10
35秒前
称心采枫完成签到 ,获得积分0
36秒前
高分求助中
【提示信息,请勿应助】关于scihub 10000
Les Mantodea de Guyane: Insecta, Polyneoptera [The Mantids of French Guiana] 3000
徐淮辽南地区新元古代叠层石及生物地层 3000
The Mother of All Tableaux: Order, Equivalence, and Geometry in the Large-scale Structure of Optimality Theory 3000
Handbook of Industrial Diamonds.Vol2 1100
Global Eyelash Assessment scale (GEA) 1000
Picture Books with Same-sex Parented Families: Unintentional Censorship 550
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 4038201
求助须知:如何正确求助?哪些是违规求助? 3575940
关于积分的说明 11373987
捐赠科研通 3305747
什么是DOI,文献DOI怎么找? 1819274
邀请新用户注册赠送积分活动 892662
科研通“疑难数据库(出版商)”最低求助积分说明 815022