Evidence map›Paper›PMID 37181620›Full record

ArticleFrontiers in aging neuroscience2023

Constructing a prognostic risk model for Alzheimer's disease based on ferroptosis.

Xiao-Li Wang, Rui-Qing Zhai, Zhi-Ming Li, Hong-Qiu Li, Ya-Ting Lei, Fang-Fang Zhao, Xiao-Xiao Hao, Sheng-Yuan Wang, Yong-Hui Wu

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Article in Frontiers in aging neuroscience, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

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9 authors.

Xiao-Li WangDepartment of Occupational Health, Public Health College, Harbin Medical University, Harbin, China.
Rui-Qing ZhaiCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China.
Zhi-Ming LiDepartment of Occupational Health, Public Health College, Harbin Medical University, Harbin, China.
Hong-Qiu LiDepartment of Occupational Health, Public Health College, Harbin Medical University, Harbin, China.
Ya-Ting LeiDepartment of Occupational Health, Public Health College, Harbin Medical University, Harbin, China.
Fang-Fang ZhaoDepartment of Occupational Health, Public Health College, Harbin Medical University, Harbin, China.
Xiao-Xiao HaoDepartment of Occupational Health, Public Health College, Harbin Medical University, Harbin, China.
Sheng-Yuan WangDepartment of Occupational Health, Public Health College, Harbin Medical University, Harbin, China.
Yong-Hui WuDepartment of Occupational Health, Public Health College, Harbin Medical University, Harbin, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: The aim of this study is to establish a prognostic risk model based on ferroptosis to prognosticate the severity of Alzheimer's disease (AD) through gene expression changes. Methods: The GSE138260 dataset was initially downloaded from the Gene expression Omnibus database. The ssGSEA algorithm was used to evaluate the immune infiltration of 28 kinds of immune cells in 36 samples. The up-regulated immune cells were divided into Cluster 1 group and Cluster 2 group, and the differences were analyzed. The LASSO regression analysis was used to establish the optimal scoring model. Cell Counting Kit-8 and Real Time Quantitative PCR were used to verify the effect of different concentrations of Aβ Results: Based on the differential expression analysis, there were 14 up-regulated genes and 18 down-regulated genes between the control group and Cluster 1 group. Cluster 1 and Cluster 2 groups were differentially analyzed, and 50 up-regulated genes and 101 down-regulated genes were obtained. Finally, nine common differential genes were selected to establish the optimal scoring model. Discussion: The establishment of this research model can help clinicians make decisions on the severity of AD, thus providing better guidance for the clinical treatment of Alzheimer's disease.

Indexed as

Alzheimer’s diseaseAβ1–42ferroptosisPC12prognostic risk model

Identifiers

PMID37181620
PMCPMC10172508

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