Evidence map›Paper›PMID 38622006›Full record

ArticleActas espanolas de psiquiatria2024

Bioinformatic Identification of Signaling Pathways and Hub Genes in Vascular Dementia.

Yuanhua Wu, Jing Cai, Bo Pang, Liping Cao, Qiankun He, Qiansong He, Anbang Zhang

Open access · bronzeAbstract read
In one paragraph

Article in Actas espanolas de psiquiatria, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.2field-weighted citation impact, top 48% 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

2 citing papers in PubMed, 1 citations in OpenAlex.

  1. Article
  2. The enigma of vascular dementia: current state and emerging perspectives.Journal of neural transmission (Vienna, Austria : 1996) · 2026
    Review
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 at 1 institution in 1 country.

Yuanhua WuDepartment of Neurology, The First Affiliated Hospital of Guizhou University of Traditional Chinese Medicine, 550002 Guiyang, Guizhou, China.
Jing CaiDepartment of Neurology, The First Affiliated Hospital of Guizhou University of Traditional Chinese Medicine, 550002 Guiyang, Guizhou, China.
Bo PangDepartment of Neurology, The First Affiliated Hospital of Guizhou University of Traditional Chinese Medicine, 550002 Guiyang, Guizhou, China.
Liping CaoDepartment of Neurology, The First Affiliated Hospital of Guizhou University of Traditional Chinese Medicine, 550002 Guiyang, Guizhou, China.
Qiankun HeThe First School of Clinical Medicine of Guizhou University of Traditional Chinese Medicine, 550001 Guiyang, Guizhou, China.
Qiansong HeDepartment of Neurology, The First Affiliated Hospital of Guizhou University of Traditional Chinese Medicine, 550002 Guiyang, Guizhou, China.
Anbang ZhangDepartment of Neurology, The First Affiliated Hospital of Guizhou University of Traditional Chinese Medicine, 550002 Guiyang, Guizhou, China.
Guizhou University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundVascular dementia (VaD) is a prevalent neurodegenerative disease characterized by cognitive impairment due to cerebrovascular factors, affecting a significant portion of the aging population and highlighting the critical need to understand specific targets and mechanisms for effective prevention and treatment strategies. We aimed to identify pathways and crucial genes involved in the progression of VaD through bioinformatics analysis and subsequently validate these findings.

methodsWe conducted differential expression analysis, Weighted Gene Co-expression Network Analysis (WGCNA), Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis, and Protein-Protein Interaction (PPI) analysis. We utilized pheochromocytoma 12 (PC12) cells to create an in vitro oxygen-glucose deprivation (OGD) model. We investigated the impact of overexpression and interference of adrenoceptor alpha 1D (ADRA1D) on OGD PC12 cells using TdT-mediated dUTP nick-end labeling (TUNEL), reverse transcription-quantitative polymerase chain reaction (RT-qPCR), western blot (WB), and Fluo-3-pentaacetoxymethyl ester (Fluo-3 AM) analysis.

resultsWe found 187 differentially expressed genes (DEGs) in the red module that were strongly associated with VaD and were primarily enriched in vasoconstriction, G protein-coupled amine receptor activity, and neuroactive ligand-receptor interaction, mitogen-activated protein kinase (MAPK) signaling pathway, and cell adhesion. Among these pathways, we identified ADRA1D as a gene shared by vasoconstriction, G protein-coupled amine receptor activity, and neuroactive ligand-receptor interaction. The TUNEL assay revealed a significant decrease in PC12 cell apoptosis with ADRA1D overexpression (p < 0.01) and a significant increase in apoptosis upon silencing ADRA1D (p < 0.01). RT-qPCR and WB analysis revealed elevated ADRA1D expression (p < 0.001) and decreased phospholipase C beta (PLCβ) and inositol 1,4,5-trisphosphate receptor (IP3R) expression (p < 0.05) with ADRA1D overexpression. Moreover, the Fluo-3 AM assessment indicated significantly lower intracellular Ca2+ levels with ADRA1D overexpression (p < 0.001). Conversely, interference with ADRA1D yielded opposite results.

conclusionOur study provides a new perspective on the pathogenic mechanisms of VaD and potential avenues for therapeutic intervention. The results highlight the role of ADRA1D in modulating cellular responses to OGD and VaD, suggesting its potential as a target for VaD treatment.

Indexed as

Aniline CompoundsDementia, VascularNeurodegenerative DiseasesXanthenesAgedAminesAnimalsGTP-Binding ProteinsHumansLigandsRatsSignal TransductionAminesAniline CompoundsFluo-3GTP-Binding ProteinsLigandsXanthenes

Identifiers

PMID38622006
PMCPMC11015743
OpenAlexW4394853371

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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.