The Role of Macrophages in Aortic Dissection

Wang, Xinhao; Zhang, Hongpeng; Cao, Long; He, Yuan; Ma, Anlun; Guo, Wei

doi:10.3389/fphys.2020.00054

Cited by 59 publications

(52 citation statements)

References 72 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Macrophages, which have both anti-inflammatory and inflammatory effects, are related to the pathophysiology mechanism of AD. 27 Macrophages play multiple roles in TAAD and the release of VEGF by macrophages is positive in the tunica media, and all AAD samples show immune-inflammatory infiltration and vessel growth. 28 As the dominant inflammatory cells in acute inflammation, neutrophils mainly infiltrate the adventitia of AD tissue.…”

Section: Discussionmentioning

confidence: 92%

Patterns of Immune Infiltration and the Key Immune-Related Genes in Acute Type A Aortic Dissection in Bioinformatics Analyses

Chen¹,

Han²,

Tang³

2021

IJGM

View full text Add to dashboard Cite

Background Immune-inflammatory mechanisms contribute greatly to the complex process leading to type A aortic dissection (TAAD). This study aims to explore immune infiltration and key immune-related genes in acute TAAD. Methods ImmuCellAI algorithm was applied to analyze patterns of immune infiltration in TAAD samples and normal aortic vessel samples in the GSE153434 dataset. Differentially expressed genes (DEGs) were screened. Immune-related genes were obtained from overlapping DEGs of GSE153434 and immune genes of the ImmPort database. The hub genes were obtained based on the protein–protein interaction (PPI) network. The hub genes in TAAD were validated in the GSE52093 dataset. The correlation between the key immune-related genes and infiltrating immune cells was further analyzed. Results In the study, the abundance of macrophages, neutrophils, natural killer T cells (NKT cells), natural regulatory T cells (nTreg), T-helper 17 cells (Th17 cells) and monocytes was increased in TAAD samples, whereas that of dendritic cells (DCs), CD4 T cells, central memory T cells (Tcm), mucosa associated invariant T cells (MAIT cells) and B cells was decreased. Interleukin 6 (IL-6), C-C motif chemokine ligand 2 (CCL2) and hepatocyte growth factor (HGF) were identified and validated in the GSE52093 dataset as the key immune-related genes. Furthermore, IL-6, CCL2 and HGF were correlated with different types of immune cells. Conclusion In conclusion, several immune cells such as macrophages, neutrophils, NKT cells, and nTreg may be involved in the development of TAAD. IL-6, CCL2 and HGF were identified and validated as the key immune-related genes of TAAD via bioinformatics analyses. The key immune cells and immune-related genes have the potential to be developed as targets of prevention and immunotherapy for patients with TAAD.

show abstract

Section: Discussionmentioning

confidence: 92%

Patterns of Immune Infiltration and the Key Immune-Related Genes in Acute Type A Aortic Dissection in Bioinformatics Analyses

Chen¹,

Han²,

Tang³

2021

IJGM

View full text Add to dashboard Cite

show abstract

“…Studies have shown that in ammation, angiogenesis, activation of transforming growth factor-β1 (TGF-β1) signaling pathway and degradation of extracellular matrix, abnormal phenotypic transition of vascular smooth muscle cells (VSMCs) is mainly involved in the pathogenesis of AAD. However, the detailed molecular mechanism remains to be explored [11][12][13][14][15] .…”

Section: Introductionmentioning

confidence: 99%

Identification Novel Biomarker for Acute Aortic Dissection Using 4D-Label-Free Proteomics

wang

Wang

Maitusun

et al. 2021

Preprint

View full text Add to dashboard Cite

Purpose: we aimed to identify potential candidate biomarkers in aorta tissue from AAD patients. Methods: We used 4D label-free quantification (4D-LFQ) mass spectrometry to screen differentially expressed proteins in aorta tissues of AAD patients. Then we performed protein annotation, unsupervised hierarchical clustering, functional classification, functional enrichment and cluster, and protein-protein interaction analyses. Parallel Reaction Monitoring (PRM) technology was used to accurately and quantitatively confirm the selected target proteins. Results: A total of 3350 proteins were identified. Taking 1.5 times as the differential expression threshold, 139 were upregulated and 108 were downregulated as compared to the control groups. Bioinformatics analysis showed that the differential proteins were mainly distributed in extracellular matrix and cytoplasm. And their functions mainly involve cell migration and proliferation, inflammatory cell activation, cell contraction, muscle organ development and other processes. PRM technology accurately quantified the selected 20 target proteins, and found SAA1, LBP, MPO, and ENG were confirmed to be enriched in the aorta tissue of AAD patients. Conclusions: This is the first application of a 4D-LFQ-PRM workflow to identify and validate biomarkers in AAD patients. SAA1, LBP, MPO, and ENG represent novel biomarkers for the pathogenesis of AAD and might be a therapeutic target in the future.

show abstract

“…And it can subsequently develop to systemic inflammatory reactions syndrome (SIRS) due to uncontrolled inflammatory cascade [17]. Aortic samples from the patients with aortic dissection revealed a large amount of macrophages infiltration [18]. A large number of cytokines have also been found infiltrating the aortic wall of patients with aortic dissection, such as IL-6 and IL-17 [12].…”

Section: Discussionmentioning

confidence: 99%

Predictors for the development of preoperative oxygenation impairment in acute aortic dissection in hypertensive patients

Zhao

Bie

2020

BMC Cardiovasc Disord

View full text Add to dashboard Cite

Background: Acute aortic dissection (AAD) is an acute life-threatening cardiovascular disease, which is frequently complicated with oxygenation impairment (OI). We aim to investigate predictors of the development of OI in the patients with AAD. Methods: We retrospectively collected clinical data of AAD in hypertensive patients from July 2012 to March 2020. The patients included in this study were divided into OI (+) group (oxygenation index≤200) and OI (−) group (oxygenation index> 200). Both groups were compared according to demographic and clinical characteristics, and laboratory findings. Characteristics of hypertension in the patients with AAD were described. Predictors for the development of OI were assessed. And cutoff values were determined by receiver operating characteristics (ROC) curve. Results: A total of 208 patients were included in this study and the incidence of OI was 32.2%. In OI (+) group, patients had significantly higher peak body temperature (37.85 ± 0.60 vs 37.64 ± 0.44°C, P = .005), higher levels of CRP (42.70 ± 28.27 vs 13.90 ± 18.70 mg/L, P = .000) and procalcitonin (1.07 ± 3.92 vs 0.31 ± 0.77μg/L, P = .027), and lower levels of albumin (34.21 ± 5.65 vs 37.73 ± 4.70 g/L, P = .000). Spearman's rank correlation test showed that the minimum oxygenation index was positively correlated with albumin, and was negatively correlated with the peak body temperature, serum CRP, procalcitonin, BNP and troponin. The stepwise multiple linear regression analysis showed that the peak body temperature, serum CRP and albumin were independently associated with development of OI. An optimal cutoff value for CRP for predicting OI was ≥9.20 mg/L, with a sensitivity of 91.0% and a specificity of 61.0%. Conclusions: The peak body temperature, serum CRP and albumin were independent predictors of OI development in the patients with AAD. The serum CRP on admission≥9.20 mg/L might be a valuable and reliable indicator in predicting the development of OI.

show abstract

The Role of Macrophages in Aortic Dissection

Cited by 59 publications

References 72 publications

Patterns of Immune Infiltration and the Key Immune-Related Genes in Acute Type A Aortic Dissection in Bioinformatics Analyses

Patterns of Immune Infiltration and the Key Immune-Related Genes in Acute Type A Aortic Dissection in Bioinformatics Analyses

Identification Novel Biomarker for Acute Aortic Dissection Using 4D-Label-Free Proteomics

Predictors for the development of preoperative oxygenation impairment in acute aortic dissection in hypertensive patients

Contact Info

Product

Resources

About