Shared circulating diagnostic biomarkers and molecular mechanisms in ischemic stroke and systemic lupus erythematosus

医学 缺血性中风 全身循环 系统性风险 系统性狼疮 冲程(发动机) 全身性疾病 心脏病学 内科学 缺血 免疫病理学 疾病 金融危机 经济 宏观经济学 工程类 机械工程
作者
Xiaoyi Ma,Lifei Huang,Huanhuan Yan
出处
期刊:Frontiers in Immunology [Frontiers Media]
卷期号:16
标识
DOI:10.3389/fimmu.2025.1565379
摘要

Ischemic stroke, a prevalent cerebrovascular disorder characterized by reduced cerebral blood flow, and systemic lupus erythematosus (SLE), an autoimmune disease affecting various organs, are suspected to share overlapping etiological mechanisms and genetic predispositions. This study aimed to identify shared diagnostic biomarkers and molecular mechanisms by analyzing datasets from the GEO database. We pinpointed differentially expressed genes using the limma package and identified co-expression modules associated with both conditions using Weighted Gene Coexpression Network Analysis. Pathway enrichment analysis was conducted using GO and KEGG to identify co-driver genes. LASSO regression was applied to evaluate potential diagnostic markers, and immune cell infiltration was quantified using the CIBERSORT computational method. A middle cerebral artery occlusion (MCAO) mouse model was developed to assess core gene expression in vivo. We identified 69 shared driver genes linked to stroke and SLE, which were narrowed down to the top 10 genes through a Protein-Protein Interaction network analysis with Cytoscape. LASSO regression selected EIF2AK2, PARP9, and IFI27 as diagnostic biomarkers, supported by ROC curve analysis. Immune cell infiltration profiles were nearly identical between ischemic stroke and SLE. 9.4T MR imaging, H&E and Nissl staining confirmed ischemic stroke in the MCAO model, and qPCR analysis confirmed elevated expression of the three hub genes. Our findings provide evidence for common diagnostic indicators and disease mechanisms in ischemic stroke and SLE, offering novel insights for potential therapeutic strategies targeting their shared immune cell infiltration microenvironments.

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
ly发布了新的文献求助10
刚刚
刚刚
66关注了科研通微信公众号
1秒前
淡然冬灵发布了新的文献求助10
1秒前
体贴的沛蓝关注了科研通微信公众号
1秒前
1秒前
2秒前
二十二点36发布了新的文献求助200
3秒前
上官若男应助racill采纳,获得10
3秒前
理由多多发布了新的文献求助20
4秒前
鲸鱼姐姐发布了新的文献求助10
4秒前
樊书南发布了新的文献求助10
4秒前
远方完成签到,获得积分10
6秒前
王颖发布了新的文献求助30
6秒前
6秒前
伊梦阑珊完成签到,获得积分10
7秒前
7秒前
8秒前
小马甲应助鸡蛋小汉堡采纳,获得10
10秒前
心心发布了新的文献求助10
11秒前
彩色面包发布了新的文献求助10
11秒前
FashionBoy应助笨笨采纳,获得10
11秒前
Juvenilesy应助马牛采纳,获得10
11秒前
ly完成签到,获得积分10
12秒前
李田所完成签到,获得积分20
13秒前
15秒前
15秒前
mrx96完成签到 ,获得积分10
15秒前
16秒前
DOC_XIONG应助忧郁醉薇采纳,获得10
16秒前
jojo完成签到 ,获得积分10
16秒前
16秒前
17秒前
淡然的子默完成签到,获得积分10
17秒前
所所应助Man采纳,获得10
17秒前
18秒前
香蕉觅云应助隐形静芙采纳,获得10
18秒前
jiangjiaodu2024完成签到,获得积分10
18秒前
大个应助把妹王采纳,获得10
18秒前
faye发布了新的文献求助10
19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
Principles of town planning: translating concepts to applications 1000
Management and the Arts 510
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
核安全综合知识2024版 500
Photothermal Science and Techniques 500
Essentials of Carbohydrate Chemistry and Biochemistry, 4th Edition 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7718790
求助须知:如何正确求助?哪些是违规求助? 9272670
关于积分的说明 20093154
捐赠科研通 7294620
什么是DOI,文献DOI怎么找? 3299547
关于科研通互助平台的介绍 2453387
邀请新用户注册赠送积分活动 2306840