Evidence map›Paper›PMID 36467613›Full record

ArticleFrontiers in cellular neuroscience2022

Ferroptosis-related biomarkers for Alzheimer's disease: Identification by bioinformatic analysis in hippocampus.

Binyang Wang, Chenyang Fu, Yuanyuan Wei, Bonan Xu, Rongxing Yang, Chuanxiong Li, Meihua Qiu, Yong Yin, Dongdong Qin

Open access · goldAbstract read
In one paragraph

Article in Frontiers in cellular neuroscience, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed, 1 pooled it
6.1field-weighted citation impact, top 3% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

32 citing papers in PubMed, 1 synthesis or guideline pooled it, 42 citations in OpenAlex.

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  19. IL-1β and CXCR4 as Potential Therapeutic Targets for Alzheimer's Disease.Combinatorial chemistry & high throughput screening · 2025
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors at 1 institution in 1 country.

Binyang WangDepartment of Rehabilitation Medicine, The Affiliated Hospital of Yunnan University, Kunming, China.
Chenyang FuSchool of Basic Medical Sciences, Yunnan University of Chinese Medicine, Kunming, China.
Yuanyuan WeiSchool of Basic Medical Sciences, Yunnan University of Chinese Medicine, Kunming, China.
Bonan XuSchool of Basic Medical Sciences, Yunnan University of Chinese Medicine, Kunming, China.
Rongxing YangDepartment of Rehabilitation Medicine, The Affiliated Hospital of Yunnan University, Kunming, China.
Chuanxiong LiDepartment of Rehabilitation Medicine, The Affiliated Hospital of Yunnan University, Kunming, China.
Meihua QiuDepartment of Rehabilitation Medicine, The Affiliated Hospital of Yunnan University, Kunming, China.
Yong YinDepartment of Rehabilitation Medicine, The Affiliated Hospital of Yunnan University, Kunming, China.
Dongdong QinSchool of Basic Medical Sciences, Yunnan University of Chinese Medicine, Kunming, China.
Yunnan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Globally, Alzheimer's Disease (AD) accounts for the majority of dementia, making it a public health concern. AD treatment is limited due to the limited understanding of its pathogenesis. Recently, more and more evidence shows that ferroptosis lead to cell death in the brain, especially in the regions of the brain related to dementia. Materials and methods: Three microarray datasets (GSE5281, GSE9770, GSE28146) related to AD were downloaded from Gene Expression Omnibus (GEO) datasets. Ferroptosis-related genes were extracted from FerrDb database. Data sets were separated into two groups. GSE5281 and GSE9770 were used to identify ferroptosis-related genes, and GSE28146 was used to verify results. During these processes, protein-protein interaction (PPI), the Gene Ontology (GO), and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses were conducted. Finally, the differentiated values of ferroptosis-related genes were determined by receiver operator characteristic (ROC) monofactor analysis to judge their potential quality as biomarkers. Results: Twenty-four ferroptosis-related genes were obtained. Using STRING (https://cn.string-db.org/) and Cytoscape with CytoHubba, the top 10 genes ( Conclusion: Our results suggest that ASNS and SENS2 may serve as potential diagnostic biomarkers for AD and provide additional evidence regarding the essential role of ferroptosis in AD.

Indexed as

Alzheimer’s diseaseASNSbiomarkersferroptosishippocampusSESN2

Identifiers

PMID36467613
PMCPMC9709107
OpenAlexW4309315284

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.