Evidence map›Paper›PMID 36672701›Full record

ArticleBiomedicines2023

The Inflammatory Gene

Wenjia Liu, Sophia Chen, Xin Rao, Yisong Yang, Xiaodong Chen, Liyang Yu

Open access · goldAbstract read
In one paragraph

Article in Biomedicines, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
2.1field-weighted citation impact, top 13% 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

8 citing papers in PubMed, 12 citations in OpenAlex.

  1. Article
  2. Identification of plasma SEMA3E as the diagnostic biomarker for human epilepsy based on integrated bioinformatics analysis.Neurotherapeutics : the journal of the American Society for Experimental NeuroTherapeutics · 2025
    Article
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  6. Review
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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

6 authors at 3 institutions in 2 countries.

Wenjia LiuSchool of Electronics and Information, Hangzhou Dianzi University, Hangzhou 310018, China.ORCID 0000-0001-8034-4425
Sophia ChenSchool of Medicine, Imperial College London, London SW7 2AZ, UK.ORCID 0000-0003-0079-881X
Xin RaoSchool of Electronics and Information, Hangzhou Dianzi University, Hangzhou 310018, China.
Yisong YangSchool of Electronic Engineering and Computer Science, Queen Mary University of London, London E1 4NS, UK.
Xiaodong ChenSchool of Electronics and Information, Hangzhou Dianzi University, Hangzhou 310018, China.ORCID 0000-0002-1972-3271
Liyang YuSchool of Electronics and Information, Hangzhou Dianzi University, Hangzhou 310018, China.
Hangzhou Dianzi University · CNQueen Mary University of London · GBImperial College London · GB

Funding

China Postdoctoral Science Foundation 2022M720976National Natural Science Foundation of China 62101171Natural Science Foundation of Zhejiang Province LQ22F010015
6 · The paper itself

Abstract

The incidence of Alzheimer's disease (AD) is increasing year by year, which brings great challenges to human health. However, the pathogenesis of AD is still unclear, and it lacks early diagnostic targets. The entorhinal cortex (EC) is a key brain region for the occurrence of AD neurodegeneration, and neuroinflammation plays a significant role in EC degeneration in AD. This study aimed to reveal the close relationship between inflammation-related genes in the EC and AD by detecting key differentially expressed genes (DEGs) via gene function enrichment pathway analysis. GSE4757 and GSE21779 gene expression profiles of AD were downloaded from the Gene Expression Omnibus (GEO) database. R language was used for the standardization and differential analysis of DEGs. Then, significantly enriched Gene Ontology (GO) terms and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways were analyzed to predict the potential biological functions of the DEGs. Finally, the significant expressions of identified DEGs were verified, and the therapeutic values were detected by a receiver operating characteristic (ROC) curve. The results showed that eight up-regulated genes (

Indexed as

Alzheimer’s diseasediagnostic targetdifferentially expressed geneentorhinal cortexinflammationPYCARD

Identifiers

PMID36672701
PMCPMC9856101
OpenAlexW4315701775

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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 Socratic graph.