Uncovering the role of integrated stress in Alzheimer’s disease through single-cell and transcriptomic analysis

Alzheimer's disease (AD) is a common neurodegenerative disorder; however, its molecular complexity remains poorly understood. Single-cell analysis can reveal the molecular changes in AD in different types of brain cells. In this study, we integrated single-cell sequencing and transcriptome data to explore the molecular mechanism of integrated stress response (ISR) in AD. Analysis of the GSE264648 (49 cases) and GSE48350 (253 cases) datasets showed that the integrated stress response (ISR) activity of endothelial cells in patients with AD was significantly increased compared with normal control group. Six key genes (BTG1, EPB41L4A, HERPUD1, SLC3A2, SLC7A11, and SLC7A5) were screened by combining the Least Absolute Shrinkage and Selection Operator (LASSO) regression and the random forest algorithm. Urine test for β-amyloid protein, Clinical Dementia Rating, modified Hachinski Ischemia Scale, Hamilton Depression Scale, Hamilton Anxiety Scale and head magnetic resonance imaging were used to screen cilinical subjects, and then verified the six key genes in their blood samples. These key genes are enriched in inflammatory pathways such as NF-κB and TNF, and are closely related to immune cell infiltration (e.g., M2 macrophages and neutrophils). This research also revealed the association between key and core genes of AD (e.g., APOE) and their clinical predictive value, providing new clues for mechanistic research and targeted therapy of AD.

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Publication Details

Journal
Scientific Reports
Published
2026-01-06
DOI
https://doi.org/10.1038/s41598-026-34997-6
Primary Topic
Alzheimer's disease research and treatments
Type
article
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article

Uncovering the role of integrated stress in Alzheimer’s disease through single-cell and transcriptomic analysis

Ning Sheng, Y Wang, GE Jin-wen, Dahua Wu et al.
Scientific Reports
Alzheimer's disease research and treatments
article

Uncovering the role of integrated stress in Alzheimer’s disease through single-cell and transcriptomic analysis

Ning Sheng, Y Wang, GE Jin-wen, Dahua Wu, Zi-Ying Zong, Yong Zheng, Hong-Yan Wang, Kun Song
article en

Abstract

Alzheimer's disease (AD) is a common neurodegenerative disorder; however, its molecular complexity remains poorly understood. Single-cell analysis can reveal the molecular changes in AD in different types of brain cells. In this study, we integrated single-cell sequencing and transcriptome data to explore the molecular mechanism of integrated stress response (ISR) in AD. Analysis of the GSE264648 (49 cases) and GSE48350 (253 cases) datasets showed that the integrated stress response (ISR) activity of endothelial cells in patients with AD was significantly increased compared with normal control group. Six key genes (BTG1, EPB41L4A, HERPUD1, SLC3A2, SLC7A11, and SLC7A5) were screened by combining the Least Absolute Shrinkage and Selection Operator (LASSO) regression and the random forest algorithm. Urine test for β-amyloid protein, Clinical Dementia Rating, modified Hachinski Ischemia Scale, Hamilton Depression Scale, Hamilton Anxiety Scale and head magnetic resonance imaging were used to screen cilinical subjects, and then verified the six key genes in their blood samples. These key genes are enriched in inflammatory pathways such as NF-κB and TNF, and are closely related to immune cell infiltration (e.g., M2 macrophages and neutrophils). This research also revealed the association between key and core genes of AD (e.g., APOE) and their clinical predictive value, providing new clues for mechanistic research and targeted therapy of AD.

Scientific ReportsVol. 16(1)
Zaozhuang Municipal Hospital (CN), Hunan Academy of Traditional Chinese Medicine (CN), Hunan Provincial People's Hospital (CN)
Life in Land
Openalex Percentile: Top 95%
Alzheimer's disease research and treatments
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Uncovering the role of integrated stress in Alzheimer’s disease through single-cell and transcriptomic analysis — Ning Sheng, Y Wang, et al. · Scientific Reports (2026) | TGRS Research Map | TGRS