Evidence map›Paper›PMID 38778589›Full record

ArticleCombinatorial chemistry & high throughput screening2025

IL-1β and CXCR4 as Potential Therapeutic Targets for Alzheimer's Disease.

Yuhan Zhang, Qiong Su, Jun Tan, Weiping Deng, Xiaoju Wan, Yunjun Li, Kuanyong Shu

Abstract read
In one paragraph

Article in Combinatorial chemistry & high throughput screening, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

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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

1 citing paper in PubMed.

  1. Article
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

7 authors.

Yuhan ZhangDepartment of Reproduction Center, Jiangxi Maternal and Child Health Hospital, Nanchang, Jiangxi, China.
Qiong SuDepartment of Reproduction Center, Jiangxi Maternal and Child Health Hospital, Nanchang, Jiangxi, China.
Jun TanDepartment of Reproduction Center, Jiangxi Maternal and Child Health Hospital, Nanchang, Jiangxi, China.
Weiping DengDepartment of Reproduction Center, Jiangxi Maternal and Child Health Hospital, Nanchang, Jiangxi, China.
Xiaoju WanDepartment of Reproduction Center, Jiangxi Maternal and Child Health Hospital, Nanchang, Jiangxi, China.
Yunjun LiDepartment of Reproduction Center, Jiangxi Maternal and Child Health Hospital, Nanchang, Jiangxi, China.
Kuanyong ShuDepartment of Oncology, Jiangxi Maternal and Child Health Hospital, Nanchang, Jiangxi, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAlzheimer's Disease (AD) is a highly prevalent form of age-related dementia. However, the underlying mechanisms of AD are largely unexplored. MATERIALS AND

methodsIn this study, bioinformatics analysis was performed to identify the possible therapeutic targets for AD. The GEO database was used to screen the Differentially Expressed Genes (DEGs). Enrichment analysis, protein-protein interaction network, and LASSO model analyses were successfully performed. Furthermore, an ELISA assay was also conducted to determine the expression of principal genes within the AD and control samples.

resultsA total of 416 differentially expressed genes (DEGs) were recognized based on the GSE48350 and GSE28146 datasets. The IL-1β and CXCR4 levels were markedly elevated in the AD samples relative to the control.

conclusionThe IL-1β and CXCR4 genes were identified as principal AD-related genes that can be targeted for anti-AD therapy.

Indexed as

Alzheimer DiseaseInterleukin-1betaReceptors, CXCR4Computational BiologyHumansCXCR4 protein, humanIL1B protein, humanInterleukin-1betaReceptors, CXCR4Alzheimer’s diseasebioinformaticsbiomarkersdifferentially expressed genesLASSOprotein-protein interaction.

Identifiers

PMID38778589
PMCPMC12307957

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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.