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Negoto S, Aoki H, Ohshima K, Nakamura E, Shojima T, Takagi K, Otsuka H, Takaseya T, Hiromatsu S, Tayama E. Cell Type-Specific Relationships Among Immune Cells in Human Aortic Dissection Tissue. Kurume Med J 2024; 70:145-155. [PMID: 39218645 DOI: 10.2739/kurumemedj.ms7034007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/04/2024]
Abstract
BACKGROUND Although recent studies have revealed the importance of inflammation in the pathogenesis of aortic dissection (AD), little is known about the relationships among inflammatory cells in human AD tissue. METHODS AND RESULTS We assessed the relationships among various immune cell types, including neutrophils, macrophages (M1 and M2), B cells, and helper T cells (Th1, Th2, Th17, Treg and Tfh ) in human AD tissue. AD tissues displayed abundant infiltration of immune cells. Correlation analysis revealed two groups of highly correlated cell types: a group of neutrophils and M1 and M2 macrophages, and another group consisting of B cells and helper T cells. In one particular case of AD, we were able to analyze the correlations between neutrophils and M1 and M2 macrophages in the entry, border, and intact zones of the AD lesions. Neutrophils showed significant correlations with M1 and M2 macrophages in the border zones. The entry and border zones showed M1-dominant polarization, whereas the intact zone showed M2-dominant polarization. CONCLUSIONS These findings indicate the existence of cell type-specific and site-specific interactions among immune cell types in human AD tissues.
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Affiliation(s)
- Shinya Negoto
- Division of Cardiovascular Surgery, Department of Surgery, Kurume University School of Medicine
| | - Hiroki Aoki
- Cardiovascular Research Institute, Kurume University
| | - Koichi Ohshima
- Department of Pathology, Kurume University School of Medicine
| | - Eiji Nakamura
- Division of Cardiovascular Surgery, Department of Surgery, Kurume University School of Medicine
| | - Takahiro Shojima
- Division of Cardiovascular Surgery, Department of Surgery, Kurume University School of Medicine
| | - Kazuyoshi Takagi
- Division of Cardiovascular Surgery, Department of Surgery, Kurume University School of Medicine
| | - Hiroyuki Otsuka
- Division of Cardiovascular Surgery, Department of Surgery, Kurume University School of Medicine
| | - Tohru Takaseya
- Division of Cardiovascular Surgery, Department of Surgery, Kurume University School of Medicine
| | | | - Eiki Tayama
- Division of Cardiovascular Surgery, Department of Surgery, Kurume University School of Medicine
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Huang X, Zhang G, Feng Y, Zhao X, Li Y, Liu F, Dong Y, Sun J, Xu C. Developing and Verifying an Effective Diagnostic Model Linked to Immune Infiltration in Stanford Type A Aortic Dissection. FRONT BIOSCI-LANDMRK 2024; 29:318. [PMID: 39344316 DOI: 10.31083/j.fbl2909318] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2024] [Revised: 06/20/2024] [Accepted: 06/28/2024] [Indexed: 10/01/2024]
Abstract
BACKGROUND The deadly cardiovascular condition known as Stanford type A aortic dissection (TAAD) carries a high risk of morbidity and mortality. One important step in the pathophysiology of the condition is the influx of immune cells into the aorta media, which causes medial degeneration. The purpose of this work was to investigate the potential pathogenic significance of immune cell infiltration in TAAD and to test for associated biomarkers. METHODS The National Center for Biotechnology Information (NCBI) Gene Expression Omnibus (GEO) database provided the RNA sequencing microarray data (GSE153434, GPL20795, GSE52093). Immune cell infiltration abundance was predicted using ImmuCellAI. GEO2R was used to select differentially expressed genes (DEGs), which were then processed for Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analyses. Additionally, hub genes linked to immune infiltration were found using functional and pathway enrichment, least absolute shrinkage and selection operator (LASSO), weighted gene co-expression network analysis (WGCNA), and differential expression analysis. Lastly, hub genes were validated and assessed using receiver operating characteristic (ROC) curves in the microarray dataset GSE52093. The hub gene expression and its connection to immune infiltration in TAAD were confirmed using both animal models and clinic data. RESULTS We identified the most important connections between macrophages, T helper cell 17 (Th17), iTreg cells, B cells, natural killer cells and TAAD. And screened seven hub genes associated with immune cell infiltration: ABCG2, FAM20C, ELL2, MTHFD2, ANKRD6, GLRX, and CDCP1. The diagnostic model in TAAD diagnosis with the area under ROC (AUC) was 0.996, and the sensitivity was 99.21%, the specificity was 98.67%, which demonstrated a surprisingly strong diagnostic power of TAAD in the validation datasets. The expression pattern of four hub DEGs (ABCG2, FAM20C, MTHFD2, CDCP1) in clinic samples and animal models matched bioinformatics analysis, and ABCG2, FAM20C, MTHFD2 up-regulation, and the of CDCP1 down-regulation were also linked to poor cardiovascular function. CONCLUSIONS This study developed and verified an effective diagnostic model linked to immune infiltration in TAAD, providing new approaches to studying the potential pathogenesis of TAAD and discovering new medication intervention targets.
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Affiliation(s)
- Xiaoyan Huang
- Shaanxi Provincial Key Laboratory of Infection and Immune Diseases, Shaanxi Provincial People's Hospital, 710068 Xi'an, Shaanxi, China
- Shaanxi Engineering Research Center of Cell Immunology, Shaanxi Provincial People's Hospital, 710068 Xi'an, Shaanxi, China
| | - Guoan Zhang
- Department of Cardiology Surgery, Shaanxi Provincial People's Hospital, 710068 Xi'an, Shaanxi, China
| | - Yangmeng Feng
- Shaanxi Provincial Key Laboratory of Infection and Immune Diseases, Shaanxi Provincial People's Hospital, 710068 Xi'an, Shaanxi, China
- Shaanxi Engineering Research Center of Cell Immunology, Shaanxi Provincial People's Hospital, 710068 Xi'an, Shaanxi, China
| | - Xiangrong Zhao
- Shaanxi Provincial Key Laboratory of Infection and Immune Diseases, Shaanxi Provincial People's Hospital, 710068 Xi'an, Shaanxi, China
- Shaanxi Engineering Research Center of Cell Immunology, Shaanxi Provincial People's Hospital, 710068 Xi'an, Shaanxi, China
| | - Yaping Li
- Shaanxi Provincial Key Laboratory of Infection and Immune Diseases, Shaanxi Provincial People's Hospital, 710068 Xi'an, Shaanxi, China
- Shaanxi Engineering Research Center of Cell Immunology, Shaanxi Provincial People's Hospital, 710068 Xi'an, Shaanxi, China
| | - Fuqiang Liu
- Department of Cardiology, Shaanxi Provincial People's Hospital, 710068 Xi'an, Shaanxi, China
| | - Yihan Dong
- Department of Graduate School, Yan'an University, 716000 Yan'an, Shaanxi, China
| | - Jingying Sun
- Shaanxi Provincial Key Laboratory of Infection and Immune Diseases, Shaanxi Provincial People's Hospital, 710068 Xi'an, Shaanxi, China
- Shaanxi Engineering Research Center of Cell Immunology, Shaanxi Provincial People's Hospital, 710068 Xi'an, Shaanxi, China
| | - Cuixiang Xu
- Shaanxi Provincial Key Laboratory of Infection and Immune Diseases, Shaanxi Provincial People's Hospital, 710068 Xi'an, Shaanxi, China
- Shaanxi Engineering Research Center of Cell Immunology, Shaanxi Provincial People's Hospital, 710068 Xi'an, Shaanxi, China
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Li S, Li J, Cheng W, He W, Dai SS. Independent and Interactive Roles of Immunity and Metabolism in Aortic Dissection. Int J Mol Sci 2023; 24:15908. [PMID: 37958896 PMCID: PMC10647240 DOI: 10.3390/ijms242115908] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2023] [Revised: 10/22/2023] [Accepted: 10/27/2023] [Indexed: 11/15/2023] Open
Abstract
Aortic dissection (AD) is a cardiovascular disease that seriously endangers the lives of patients. The mortality rate of this disease is high, and the incidence is increasing annually, but the pathogenesis of AD is complicated. In recent years, an increasing number of studies have shown that immune cell infiltration in the media and adventitia of the aorta is a novel hallmark of AD. These cells contribute to changes in the immune microenvironment, which can affect their own metabolism and that of parenchymal cells in the aortic wall, which are essential factors that induce degeneration and remodeling of the vascular wall and play important roles in the formation and development of AD. Accordingly, this review focuses on the independent and interactive roles of immunity and metabolism in AD to provide further insights into the pathogenesis, novel ideas for diagnosis and new strategies for treatment or early prevention of AD.
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Affiliation(s)
- Siyu Li
- School of Medicine, Chongqing University, Chongqing 400044, China
- Department of Biochemistry and Molecular Biology, Third Military Medical University (Army Medical University), Chongqing 400038, China
| | - Jun Li
- Department of Cardiac Surgery, The First Affiliated Hospital of Third Military Medical University (Army Medical University), Chongqing 400038, China
| | - Wei Cheng
- Department of Cardiac Surgery, The First Affiliated Hospital of Third Military Medical University (Army Medical University), Chongqing 400038, China
| | - Wenhui He
- Department of Biochemistry and Molecular Biology, Third Military Medical University (Army Medical University), Chongqing 400038, China
| | - Shuang-Shuang Dai
- School of Medicine, Chongqing University, Chongqing 400044, China
- Department of Biochemistry and Molecular Biology, Third Military Medical University (Army Medical University), Chongqing 400038, China
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Ge P, Liu C, Chan L, Pang Y, Li H, Zhang Q, Ye X, Wang J, Wang R, Zhang Y, Wang W, Zhang D, Zhao J. High-Dimensional Immune Profiling by Mass Cytometry Revealed the Circulating Immune Cell Landscape in Patients With Intracranial Aneurysm. Front Immunol 2022; 13:922000. [PMID: 35833148 PMCID: PMC9271834 DOI: 10.3389/fimmu.2022.922000] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2022] [Accepted: 06/01/2022] [Indexed: 11/30/2022] Open
Abstract
Background Increasing evidence supports a critical role of chronic inflammation in intracranial aneurysm (IA). Understanding how the immunological alterations in IA provides opportunities for targeted treatment. However, there is a lack of comprehensive and detailed characterization of the changes in circulating immune cells in IA. Objective To perform a comprehensive and detailed characterization of the changes in circulating immune cells in patients with IA. Methods Peripheral blood mononuclear cell samples from IA patients (n = 26) and age-and sex-matched healthy controls (HCs, n = 20) were analyzed using high dimensional mass cytometry, and the frequency and phenotype of immune cell subtypes were assessed. Results We identified 28 cell clusters and found that the immune signature of IA consists of cluster changes. IA patients exhibited dysfunction of immunity, with dysregulation of CD4+ T-cell clusters, increased B cells and monocytes, and decreased CD8+ T cells, DNT cells, and DPT cells. Moreover, compared with findings in HC, IA was associated with enhanced lymphocyte and monocyte immune activation, with a higher expression of HLA-DR, CXCR3, and CX3CR1. In addition, the expression of TLR4, p-STAT3, and the exhaustion marker PD1 was increased in T cells, B cells, and NK cells in IA patients. Conclusions Our data provide an overview of the circulating immune cell landscape of IA patients, and reveal that the dysfunction of circulating immunity may play a potential role in the development of IA.
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Affiliation(s)
- Peicong Ge
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
- Center of Stroke, Beijing Institute for Brain Disorders, Beijing, China
- Beijing Key Laboratory of Translational Medicine for Cerebrovascular Disease, Beijing, China
- Beijing Translational Engineering Center for 3D Printer in Clinical Neuroscience, Beijing, China
| | - Chenglong Liu
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
- Center of Stroke, Beijing Institute for Brain Disorders, Beijing, China
- Beijing Key Laboratory of Translational Medicine for Cerebrovascular Disease, Beijing, China
- Beijing Translational Engineering Center for 3D Printer in Clinical Neuroscience, Beijing, China
| | - Liujia Chan
- Beijing Institute of Hepatology, Beijing YouAn Hospital, Capital Medical University, Beijing, China
| | - Yuheng Pang
- Beijing Institute of Hepatology, Beijing YouAn Hospital, Capital Medical University, Beijing, China
| | - Hao Li
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
- Center of Stroke, Beijing Institute for Brain Disorders, Beijing, China
- Beijing Key Laboratory of Translational Medicine for Cerebrovascular Disease, Beijing, China
- Beijing Translational Engineering Center for 3D Printer in Clinical Neuroscience, Beijing, China
| | - Qian Zhang
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
- Center of Stroke, Beijing Institute for Brain Disorders, Beijing, China
- Beijing Key Laboratory of Translational Medicine for Cerebrovascular Disease, Beijing, China
- Beijing Translational Engineering Center for 3D Printer in Clinical Neuroscience, Beijing, China
| | - Xun Ye
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
- Center of Stroke, Beijing Institute for Brain Disorders, Beijing, China
- Beijing Key Laboratory of Translational Medicine for Cerebrovascular Disease, Beijing, China
- Beijing Translational Engineering Center for 3D Printer in Clinical Neuroscience, Beijing, China
| | - Jia Wang
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
- Center of Stroke, Beijing Institute for Brain Disorders, Beijing, China
- Beijing Key Laboratory of Translational Medicine for Cerebrovascular Disease, Beijing, China
- Beijing Translational Engineering Center for 3D Printer in Clinical Neuroscience, Beijing, China
| | - Rong Wang
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
- Center of Stroke, Beijing Institute for Brain Disorders, Beijing, China
- Beijing Key Laboratory of Translational Medicine for Cerebrovascular Disease, Beijing, China
- Beijing Translational Engineering Center for 3D Printer in Clinical Neuroscience, Beijing, China
| | - Yan Zhang
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
- Center of Stroke, Beijing Institute for Brain Disorders, Beijing, China
- Beijing Key Laboratory of Translational Medicine for Cerebrovascular Disease, Beijing, China
- Beijing Translational Engineering Center for 3D Printer in Clinical Neuroscience, Beijing, China
| | - Wenjing Wang
- Beijing Institute of Hepatology, Beijing YouAn Hospital, Capital Medical University, Beijing, China
- *Correspondence: Wenjing Wang, ; Dong Zhang, ; Jizong Zhao,
| | - Dong Zhang
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
- Center of Stroke, Beijing Institute for Brain Disorders, Beijing, China
- Beijing Key Laboratory of Translational Medicine for Cerebrovascular Disease, Beijing, China
- Beijing Translational Engineering Center for 3D Printer in Clinical Neuroscience, Beijing, China
- Department of Neurosurgery, Beijing Hospital, Beijing, China
- *Correspondence: Wenjing Wang, ; Dong Zhang, ; Jizong Zhao,
| | - Jizong Zhao
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
- Center of Stroke, Beijing Institute for Brain Disorders, Beijing, China
- Beijing Key Laboratory of Translational Medicine for Cerebrovascular Disease, Beijing, China
- Beijing Translational Engineering Center for 3D Printer in Clinical Neuroscience, Beijing, China
- Savaid Medical School, University of Chinese Academy of Sciences, Beijing, China
- *Correspondence: Wenjing Wang, ; Dong Zhang, ; Jizong Zhao,
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