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  • Ren, Jinrui  (3)
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  • 1
    Online Resource
    Online Resource
    The molecular mechanism of Ang II induced-AAA models based on proteomics analysis in ApoE−/− and CD57BL/6J mice
    Elsevier BV ; 2022
    In:  Journal of Proteomics Vol. 268 ( 2022-09), p. 104702-
    Details
    In: Journal of Proteomics, Elsevier BV, Vol. 268 ( 2022-09), p. 104702-
    Type of Medium: Online Resource
    ISSN: 1874-3919
    URL: Article
    DOI: 10.1016/j.jprot.2022.104702
    Language: English
    Publisher: Elsevier BV
    Publication Date: 2022
    detail.hit.zdb_id: 2400835-7
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  • 2
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    Supplemental Information 4: Checklist.
    PeerJ ; 2022
    In:  PeerJ Vol. 10 ( 2022-05-25), p. e13129-
    Details
    In: PeerJ, PeerJ, Vol. 10 ( 2022-05-25), p. e13129-
    Abstract: Abdominal aortic aneurysm (AAA) is a disease of high prevalence in old age, and its incidence gradually increases with increasing age. There were few studies about differences in the circulatory system in the incidence of AAA, mainly because younger patients with AAA are fewer and more comorbid nonatherosclerotic factors. Method We induced AAA in ApoE −/− male mice of different ages (10 or 24 weeks) and obtained plasma samples. After the top 14 most abundant proteins were detected, the plasma was analyzed by a proteomic study using the data-dependent acquisition (DDA) technique. The proteomic results were compared between different groups to identify age-related differentially expressed proteins (DEPs) in the circulation that contribute to AAA formation. Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG), and protein–protein interaction (PPI) network analyses were performed by R software. The top 10 proteins were determined with the MCC method of Cytoscape, and transcription factor (TF) prediction of the DEPs was performed with iRegulon (Cytoscape). Results The aortic diameter fold increase was higher in the aged group than in the youth group ( p 〈 0.01). Overall, 92 DEPs related to age and involved in AAA formation were identified. GO analysis of the DEPs showed enrichment of the terms wounding healing, response to oxidative stress, regulation of body fluid levels, ribose phosphate metabolic process, and blood coagulation. The KEGG pathway analysis showed enrichment of the terms platelet activation, complement and coagulation cascades, glycolysis/gluconeogenesis, carbon metabolism, biosynthesis of amino acids, and ECM-receptor interaction. The top 10 proteins were Tpi1, Eno1, Prdx1, Ppia, Prdx6, Vwf, Prdx2, Fga, Fgg, and Fgb, and the predicted TFs of these proteins were Nfe2, Srf, Epas1, Tbp, and Hoxc8. Conclusion The identified proteins related to age and involved in AAA formation were associated with the response to oxidative stress, coagulation and platelet activation, and complement and inflammation pathways, and the TFs of these proteins might be potential targets for AAA treatments. Further experimental and biological studies are needed to elucidate the role of these age-associated and AAA-related proteins in the progression of AAA.
    Type of Medium: Online Resource
    ISSN: 2167-8359
    URL: Article
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    DOI: 10.7717/peerj.13129
    DOI: 10.7717/peerj.13129/fig-1
    DOI: 10.7717/peerj.13129/fig-2
    DOI: 10.7717/peerj.13129/fig-3
    DOI: 10.7717/peerj.13129/fig-4
    DOI: 10.7717/peerj.13129/fig-5
    DOI: 10.7717/peerj.13129/table-1
    DOI: 10.7717/peerj.13129/table-2
    DOI: 10.7717/peerj.13129/table-3
    DOI: 10.7717/peerj.13129/supp-1
    DOI: 10.7717/peerj.13129/supp-2
    DOI: 10.7717/peerj.13129/supp-3
    DOI: 10.7717/peerj.13129/supp-4
    Language: English
    Publisher: PeerJ
    Publication Date: 2022
    detail.hit.zdb_id: 2703241-3
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  • 3
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    Image_3.TIFF
    Frontiers Media SA ; 2022
    In:  Frontiers in Cardiovascular Medicine Vol. 9 ( 2022-8-9)
    Details
    In: Frontiers in Cardiovascular Medicine, Frontiers Media SA, Vol. 9 ( 2022-8-9)
    Abstract: Abdominal aortic aneurysm (AAA) is a cardiovascular disease with high mortality and pathogenesis closely related to various cell death types, e.g., autophagy, apoptosis and pyroptosis. However, the association between AAA and ferroptosis is unknown. Methods GSE57691 and GSE98278 dataset were obtained from the Gene Expression Omnibus database, and a ferroptosis-related gene (FRG) set was downloaded from the FerrDb database. These data were normalized, and ferroptosis-related differentially expressed genes (FDEGs, AAA vs. normal samples) were identified using the limma package in R. FRGs expression was analyzed by Gene Set Expression Analysis (GSEA), and FDEGs were analyzed by Gene Ontology (GO) and Kyoto Encyclopedia of Genes (KEGG) pathway enrichment analyses using the clusterProfiler package in R and ClueGO in Cytoscape. Protein–protein interaction networks were assembled using Cytoscape, and crucial FDEGs were identified using CytoHubba. Critical FDEG transcription factors (TFs) were predicted with iRegulon. FDEGs were verified in GSE98278 set, and key FDEGs in AAA (compared with normal samples) and ruptured AAA (RAAA; compared with AAA samples) were identified. Ferroptosis-related immune cell infiltration and correlations with key genes were analyzed by CIBERSORT. Key FEDGs were reverified in Ang II-induced AAA models of ApoE –/– and CD57B/6J mice by immunofluorescence assay. Results In AAA and normal samples, 40 FDEGs were identified, and the expression of suppressive FRGs was significantly downregulated with GSEA. For FDEGs, the GO terms were response to oxidative stress and cellular response to external stimulus, and the KEGG pathways were the TNF and NOD-like receptor signaling pathways. IL6, ALB, CAV1, PTGS2, NOX4, PRDX6, GPX4, HSPA5, HSPB1, and NCF2 were the most enriched genes in the crucial gene cluster. CEBPG, NFAT5, SOX10, GTF2IRD1, STAT1, and RELA were potential TFs affecting these crucial genes. Ferroptosis-related immune cells involved in AAA formation were CD8+ T, naive CD4+ T, and regulatory T cells (Tregs); M0 and M2 macrophages; and eosinophils. Tregs were also involved in RAAA. GPX4, SLC2A1, and PEBP1 expression was downregulated in both the RAAA and AAA samples. GPX4 and PEBP1 were more important in AAA because they influenced ferroptosis-related immune cell infiltration, and SLC2A1 was more important in RAAA. Conclusions This is the first study to show that ferroptosis is crucial to AAA/RAAA formation. The TNF and NOD-like signaling pathways and ferroptosis-related immune cell infiltration play key roles in AAA/RAAA. GPX4 is a key ferroptosis-related gene in AAA. Ferroptosis and related genes might be promising targets in the treatment of AAA/RAAA.
    Type of Medium: Online Resource
    ISSN: 2297-055X
    URL: Article
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    DOI: 10.3389/fcvm.2022.875434
    DOI: 10.3389/fcvm.2022.875434.s001
    DOI: 10.3389/fcvm.2022.875434.s002
    DOI: 10.3389/fcvm.2022.875434.s003
    DOI: 10.3389/fcvm.2022.875434.s004
    DOI: 10.3389/fcvm.2022.875434.s005
    DOI: 10.3389/fcvm.2022.875434.s006
    Language: Unknown
    Publisher: Frontiers Media SA
    Publication Date: 2022
    detail.hit.zdb_id: 2781496-8
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