Detection of common pathogenesis of rheumatoid arthritis and atherosclerosis via microarray data analysis

© 2024 The Authors..

Despite extensive research reveal rheumatoid arthritis (RA) is related to atherosclerosis (AS), common pathogenesis between these two diseases still needs to be explored. In current study, we explored the common pathogenesis between rheumatoid arthritis (RA) and atherosclerosis (AS) by identifying 297 Differentially Expressed Genes (DEGs) associated with both diseases. Through KEGG and GO functional analysis, we highlighted the correlation of these DEGs with crucial biological processes such as the vesicle transport, immune system process, signaling receptor binding, chemokine signaling and many others. Employing Protein-Protein Interaction (PPI) network analysis, we elucidated the associations between DEGs, revealing three gene modules enriched in immune system process, vesicle, signaling receptor binding, Pertussis, and among others. Additionally, through CytoHubba analysis, we pinpointed 11 hub genes integral to intergrin-mediated signaling pathway, plasma membrane, phosphotyrosine binding, chemokine signaling pathway and so on. Further investigation via the TRRUST database identified two key Transcription Factors (TFs), SPI1 and RELA, closely linked with these hub genes, shedding light on their regulatory roles. Finally, leveraging the collective insights from hub genes and TFs, we proposed 10 potential drug candidates targeting the molecular mechanisms underlying RA and AS pathogenesis. Further investigation on xCell revealed that 14 types of cells were all different in both AS and RA. This study underscores the shared pathogenic mechanisms, pivotal genes, and potential therapeutic interventions bridging RA and AS, offering valuable insights for future research and clinical management strategies.

Medienart:

E-Artikel

Erscheinungsjahr:

2024

Erschienen:

2024

Enthalten in:

Zur Gesamtaufnahme - volume:10

Enthalten in:

Heliyon - 10(2024), 8 vom: 30. Apr., Seite e28029

Sprache:

Englisch

Beteiligte Personen:

Xu, Fan [VerfasserIn]
Xie, Linfeng [VerfasserIn]
He, Jian [VerfasserIn]
Huang, Qiuyu [VerfasserIn]
Shen, Yanming [VerfasserIn]
Chen, Liangwan [VerfasserIn]
Zeng, Xiaohong [VerfasserIn]

Links:

Volltext

Themen:

Atherosclerosis
Bioinformatics
Differentially expressed genes
Hub genes
Journal Article
Rheumatoid arthritis

Anmerkungen:

Date Revised 25.04.2024

published: Electronic-eCollection

Citation Status PubMed-not-MEDLINE

doi:

10.1016/j.heliyon.2024.e28029

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

NLM371178398