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

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.

Authors

Institutions

Publication Details

Journal
Medicine
Published
2026-03-20
DOI
https://doi.org/10.1097/md.0000000000048105
Primary Topic
Alzheimer's disease research and treatments
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

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

Huaxiong Zhang, Hong-yan Li
Medicine
Alzheimer's disease research and treatments
article

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

Huaxiong Zhang, Hong-yan Li
article en

Abstract

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.

MedicineVol. 105(12)
Xinjiang Uygur Autonomous Region Disease Prevention and Control Center (CN), People's Hospital of Xinjiang Uygur Autonomous Region (CN)
Good health and well-being
Openalex Percentile: Top 14%
Alzheimer's disease research and treatments
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.