Comprehensive bioinformatics analysis revealed potential key genes and pathways underlying abdominal aortic aneurysm.

Abdominal aortic aneurysm Comprehensive bioinformatics analysis Key genes RNA-seq analysis ScRNA-seq analysis

Journal

Computational and structural biotechnology journal
ISSN: 2001-0370
Titre abrégé: Comput Struct Biotechnol J
Pays: Netherlands
ID NLM: 101585369

Informations de publication

Date de publication:
2023
Historique:
received: 20 07 2023
revised: 30 10 2023
accepted: 30 10 2023
medline: 29 11 2023
pubmed: 29 11 2023
entrez: 29 11 2023
Statut: epublish

Résumé

Abdominal aortic aneurysm (AAA) is a permanent, asymptomatic segmental dilatation of the abdominal aorta, with a high mortality risk upon rupture. Identification of potential key genes and pathways may help to develop curative drugs for AAA. We conducted RNA-seq on abdominal aortic tissues from both AAA patients and normal individuals as a control group. Integrated bioinformatic analysis was subsequently performed to comprehensively reveal potential key genes and pathways. A total of 1148 differential expressed genes (DEGs) (631 up-regulated and 517 down-regulated) were identified in our study. Gene Ontology (GO) analysis revealed enrichment in terms related to extracellular matrix organization, while KEGG analysis indicated enrichment in hematopoietic cell lineage and ECM-receptor interaction. Protein-protein interaction (PPI) network analysis revealed several candidate key genes, and differential expression of 6 key genes (

Identifiants

pubmed: 38022704
doi: 10.1016/j.csbj.2023.10.052
pii: S2001-0370(23)00409-9
pmc: PMC10665597
doi:

Types de publication

Journal Article

Langues

eng

Pagination

5423-5433

Informations de copyright

© 2023 The Authors.

Déclaration de conflit d'intérêts

The authors declare that there are no commercial or financial relationships that could be perceived as a potential conflict of interest in relation to this research.

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Auteurs

Kaijie Zhang (K)

Department of Vascular Surgery, Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, Zhejiang Province 310009, China.

Jianing Yue (J)

Department of Vascular Surgery, Zhongshan Hospital of Fudan University School of Medicine, Shanghai 200032, China.

Li Yin (L)

Department of Vascular Surgery, Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, Zhejiang Province 310009, China.

Jinyi Chen (J)

Department of Vascular Surgery, Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, Zhejiang Province 310009, China.

Yunlu Chen (Y)

Clinical Research Center, Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, Zhejiang Province 310009, China.

Lanting Hu (L)

Department of Vascular Surgery, Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, Zhejiang Province 310009, China.

Jian Shen (J)

Department of Cardiology, Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, Zhejiang 310009, China.

Naiji Yu (N)

Department of Vascular Surgery, Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, Zhejiang Province 310009, China.

Yunxia Gong (Y)

Department of Vascular Surgery, Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, Zhejiang Province 310009, China.

Zhenjie Liu (Z)

Department of Vascular Surgery, Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, Zhejiang Province 310009, China.

Classifications MeSH