Mitochondrial dysfunction and programmed cell death in Alzheimer’s disease: A retrospective bioinformatics study

作者
Hua-xiong Zhang,Hong-yan Li
出处
期刊:Medicine [Wolters Kluwer]
卷期号:105 (12): e48105-e48105
标识
DOI:10.1097/md.0000000000048105
摘要

Alzheimer's disease (AD) is a major cause of dementia, and this paper explores the unclear roles of mitochondrial dysfunction and programmed cell death in AD. Differentially expressed genes (DEGs) were identified using AD datasets GSE63061 and GSE63060 from the Gene Expression Omnibus. DEGs were intersected with mitochondria-related genes and programmed cell death-related genes to obtain DEGs (in AD) intersected with mitochondrial-related genes and DEGs (in AD) intersected with programmed cell death-related genes. Correlation analysis of these DEGs was used to identify candidate genes. Machine learning algorithms were applied to key genes, followed by functional enrichment, network construction, immune infiltration analysis, drug prediction, and expression validation. Two key genes, superoxide dismutase 1 (SOD1) and translocase of the outer mitochondrial membrane 7 (TOMM7), were identified and linked to pathways like ribosome and chemokine signaling. A strong positive correlation (0.76, P < .001) was found between them. Immune analysis showed differences in 11 immune cells between AD and controls, with TOMM7 positively linked to activated CD8 T cells and negatively to myeloid-derived suppressor cells. SOD1 and TOMM7 are regulated by 4 miRNAs and 71 long noncoding RNAs (lncRNAs). Seventeen potential AD drugs, including urea and nitric oxide, were predicted. Two key genes, SOD1 and TOMM7, related to mitochondria and PCD, were identified as potential targets for understanding AD's etiology, detection, and therapeutic approaches.

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
DONGYL发布了新的文献求助10
刚刚
李林骏完成签到,获得积分20
刚刚
愉快旭尧完成签到 ,获得积分10
刚刚
刘同学完成签到,获得积分10
刚刚
1秒前
春风不语发布了新的文献求助10
1秒前
尿尿king发布了新的文献求助10
2秒前
ww不迷糊完成签到 ,获得积分10
4秒前
情怀的应助被照亮世界的ay采纳,获得10
4秒前
4秒前
4秒前
铃芽之旅发布了新的文献求助10
5秒前
5秒前
6秒前
柠檬火兔发布了新的文献求助10
6秒前
6秒前
6秒前
小马甲的应助被cbb采纳,获得10
6秒前
7秒前
酸甜完成签到,获得积分10
7秒前
cc发布了新的文献求助10
8秒前
9秒前
9秒前
10秒前
科研通AI6.4的应助被硕果累累采纳,获得10
10秒前
余可馨发布了新的文献求助10
10秒前
11秒前
liufuqiao完成签到,获得积分10
11秒前
充电宝的应助被安岁采纳,获得20
13秒前
13秒前
Leo93发布了新的文献求助10
13秒前
13秒前
13秒前
Jia发布了新的文献求助10
14秒前
14秒前
aajhajkahna的应助被yu采纳,获得10
15秒前
多情的剑发布了新的文献求助10
15秒前
他是一只咕咕鸡完成签到,获得积分10
15秒前
无心的怀蝶完成签到,获得积分20
16秒前
yzq发布了新的文献求助10
16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
Energie-Contracting 1500
Mathematical models in hydrology 1000
Klimaschutzrecht durch den Energiesektor im Mehrebenensystem – Ein Rechtsvergleich 1000
Oncology Clinical Trials: Successful Design, Conduct, and Analysis, Second Edition 800
Erzählte Gnade 500
Butadiene hydroxytelechelic oligomers PBHT 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 计算机科学 工程类 有机化学 化学工程 生物化学 物理 复合材料 内科学 催化作用 光电子学 人工智能 细胞生物学 无机化学 物理化学 数学
热门帖子
关注 科研通微信公众号,转发送积分 8082925
求助须知:如何正确求助?哪些是违规求助? 9498174
关于积分的说明 21405279
捐赠科研通 7651066
什么是DOI,文献DOI怎么找? 3402081
关于科研通互助平台的介绍 2531108
邀请新用户注册赠送积分活动 2440677