1
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Rakina M, Larionova I, Kzhyshkowska J. Macrophage diversity in human cancers: New insight provided by single-cell resolution and spatial context. Heliyon 2024; 10:e28332. [PMID: 38571605 PMCID: PMC10988020 DOI: 10.1016/j.heliyon.2024.e28332] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2023] [Revised: 03/15/2024] [Accepted: 03/15/2024] [Indexed: 04/05/2024] Open
Abstract
M1/M2 paradigm of macrophage plasticity has existed for decades. Now it becomes clear that this dichotomy doesn't adequately reflect the diversity of macrophage phenotypes in tumor microenvironment (TME). Tumor-associated macrophages (TAMs) are a major population of innate immune cells in the TME that promotes tumor cell proliferation, angiogenesis and lymphangiogenesis, invasion and metastatic niche formation, as well as response to anti-tumor therapy. However, the fundamental restriction in therapeutic TAM targeting is the limited knowledge about the specific TAM states in distinct human cancer types. Here we summarized the results of the most recent studies that use advanced technologies (e.g. single-cell RNA sequencing and spatial transcriptomics) allowing to decipher novel functional subsets of TAMs in numerous human cancers. The transcriptomic profiles of these TAM subsets and their clinical significance were described. We emphasized the characteristics of specific TAM subpopulations - TREM2+, SPP1+, MARCO+, FOLR2+, SIGLEC1+, APOC1+, C1QC+, and others, which have been most extensively characterized in several cancers, and are associated with cancer prognosis. Spatial transcriptomics technologies defined specific spatial interactions between TAMs and other cell types, especially fibroblasts, in tumors. Spatial transcriptomics methods were also applied to identify markers of immunotherapy response, which are expressed by macrophages or in the macrophage-abundant regions. We highlighted the perspectives for novel techniques that utilize spatial and single cell resolution in investigating new ligand-receptor interactions for effective immunotherapy based on TAM-targeting.
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Affiliation(s)
- Militsa Rakina
- Laboratory of Translational Cellular and Molecular Biomedicine, National Research Tomsk State University, Tomsk, 634050, Russia
- Laboratory of Molecular Therapy of Cancer, Cancer Research Institute, Tomsk National Research Medical Center, Russian Academy of Sciences, Tomsk, 634009, Russia
| | - Irina Larionova
- Laboratory of Translational Cellular and Molecular Biomedicine, National Research Tomsk State University, Tomsk, 634050, Russia
- Laboratory of Molecular Therapy of Cancer, Cancer Research Institute, Tomsk National Research Medical Center, Russian Academy of Sciences, Tomsk, 634009, Russia
| | - Julia Kzhyshkowska
- Laboratory of Translational Cellular and Molecular Biomedicine, National Research Tomsk State University, Tomsk, 634050, Russia
- Institute of Transfusion Medicine and Immunology, Institute for Innate Immunoscience (MI3), Medical Faculty Mannheim, University of Heidelberg, Mannheim, 68167, Germany
- German Red Cross Blood Service Baden-Württemberg – Hessen, Mannheim, 68167, Germany
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2
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Krammer C, Yang B, Reichl S, Besson-Girard S, Ji H, Bolini V, Schulte C, Noels H, Schlepckow K, Jocher G, Werner G, Willem M, El Bounkari O, Kapurniotu A, Gokce O, Weber C, Mohanta S, Bernhagen J. Pathways linking aging and atheroprotection in Mif-deficient atherosclerotic mice. FASEB J 2023; 37:e22752. [PMID: 36794636 DOI: 10.1096/fj.202200056r] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2022] [Revised: 11/30/2022] [Accepted: 12/21/2022] [Indexed: 02/17/2023]
Abstract
Atherosclerosis is a chronic inflammatory condition of our arteries and the main underlying pathology of myocardial infarction and stroke. The pathogenesis is age-dependent, but the links between disease progression, age, and atherogenic cytokines and chemokines are incompletely understood. Here, we studied the chemokine-like inflammatory cytokine macrophage migration inhibitory factor (MIF) in atherogenic Apoe-/- mice across different stages of aging and cholesterol-rich high-fat diet (HFD). MIF promotes atherosclerosis by mediating leukocyte recruitment, lesional inflammation, and suppressing atheroprotective B cells. However, links between MIF and advanced atherosclerosis across aging have not been systematically explored. We compared effects of global Mif-gene deficiency in 30-, 42-, and 48-week-old Apoe-/- mice on HFD for 24, 36, or 42 weeks, respectively, and in 52-week-old mice on a 6-week HFD. Mif-deficient mice exhibited reduced atherosclerotic lesions in the 30/24- and 42/36-week-old groups, but atheroprotection, which in the applied Apoe-/- model was limited to lesions in the brachiocephalic artery and abdominal aorta, was not detected in the 48/42- and 52/6-week-old groups. This suggested that atheroprotection afforded by global Mif-gene deletion differs across aging stages and atherogenic diet duration. To characterize this phenotype and study the underlying mechanisms, we determined immune cells in the periphery and vascular lesions, obtained a multiplex cytokine/chemokine profile, and compared the transcriptome between the age-related phenotypes. We found that Mif deficiency promotes lesional macrophage and T-cell counts in younger but not aged mice, with subgroup analysis pointing toward a role for Trem2+ macrophages. The transcriptomic analysis identified pronounced MIF- and aging-dependent changes in pathways predominantly related to lipid synthesis and metabolism, lipid storage, and brown fat cell differentiation, as well as immunity, and atherosclerosis-relevant enriched genes such as Plin1, Ldlr, Cpne7, or Il34, hinting toward effects on lesional lipids, foamy macrophages, and immune cells. Moreover, Mif-deficient aged mice exhibited a distinct plasma cytokine/chemokine signature consistent with the notion that mediators known to drive inflamm'aging are either not downregulated or even upregulated in Mif-deficient aged mice compared with the corresponding younger ones. Lastly, Mif deficiency favored formation of lymphocyte-rich peri-adventitial leukocyte clusters. While the causative contributions of these mechanistic pillars and their interplay will be subject to future scrutiny, our study suggests that atheroprotection due to global Mif-gene deficiency in atherogenic Apoe-/- mice is reduced upon advanced aging and identifies previously unrecognized cellular and molecular targets that could explain this phenotype shift. These observations enhance our understanding of inflamm'aging and MIF pathways in atherosclerosis and may have implications for translational MIF-directed strategies.
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Affiliation(s)
- Christine Krammer
- Division of Vascular Biology, Institute for Stroke and Dementia Research (ISD), LMU University Hospital, Ludwig-Maximilians-University (LMU), Munich, Germany
| | - Bishan Yang
- Division of Vascular Biology, Institute for Stroke and Dementia Research (ISD), LMU University Hospital, Ludwig-Maximilians-University (LMU), Munich, Germany
| | - Sabrina Reichl
- Division of Vascular Biology, Institute for Stroke and Dementia Research (ISD), LMU University Hospital, Ludwig-Maximilians-University (LMU), Munich, Germany
| | - Simon Besson-Girard
- Systems Neuroscience Laboratory, Institute for Stroke and Dementia Research (ISD), LMU University Hospital, Munich, Germany.,Graduate School of Systemic Neurosciences (GSN), LMU Munich, Planegg-Martinsried, Germany
| | - Hao Ji
- Systems Neuroscience Laboratory, Institute for Stroke and Dementia Research (ISD), LMU University Hospital, Munich, Germany
| | - Verena Bolini
- Division of Vascular Biology, Institute for Stroke and Dementia Research (ISD), LMU University Hospital, Ludwig-Maximilians-University (LMU), Munich, Germany
| | - Corinna Schulte
- Institute for Molecular Cardiovascular Research (IMCAR), University Hospital Aachen, Rhenish-Westphalian Technical University (RWTH) Aachen University, Aachen, Germany
| | - Heidi Noels
- Institute for Molecular Cardiovascular Research (IMCAR), University Hospital Aachen, Rhenish-Westphalian Technical University (RWTH) Aachen University, Aachen, Germany.,Cardiovascular Research Institute Maastricht (CARIM), Maastricht University, Maastricht, The Netherlands
| | - Kai Schlepckow
- German Center for Neurodegenerative Diseases (DZNE), Munich, Germany
| | - Georg Jocher
- German Center for Neurodegenerative Diseases (DZNE), Munich, Germany
| | - Georg Werner
- Metabolic Biochemistry, Biomedical Center (BMC), Faculty of Medicine, Ludwig-Maximilians-Universität München, Munich, Germany
| | - Michael Willem
- Metabolic Biochemistry, Biomedical Center (BMC), Faculty of Medicine, Ludwig-Maximilians-Universität München, Munich, Germany
| | - Omar El Bounkari
- Division of Vascular Biology, Institute for Stroke and Dementia Research (ISD), LMU University Hospital, Ludwig-Maximilians-University (LMU), Munich, Germany
| | - Aphrodite Kapurniotu
- Division of Peptide Biochemistry, TUM School of Life Sciences, Technical University of Munich (TUM), Munich, Germany
| | - Ozgun Gokce
- Systems Neuroscience Laboratory, Institute for Stroke and Dementia Research (ISD), LMU University Hospital, Munich, Germany.,Munich Cluster for Systems Neurology (SyNergy), Munich, Germany
| | - Christian Weber
- Cardiovascular Research Institute Maastricht (CARIM), Maastricht University, Maastricht, The Netherlands.,Munich Cluster for Systems Neurology (SyNergy), Munich, Germany.,Institute for Cardiovascular Prevention, LMU University Hospital, Ludwig-Maximilians-University (LMU), Munich, Germany.,Munich Heart Alliance, Munich, Germany
| | - Sarajo Mohanta
- Institute for Cardiovascular Prevention, LMU University Hospital, Ludwig-Maximilians-University (LMU), Munich, Germany
| | - Jürgen Bernhagen
- Division of Vascular Biology, Institute for Stroke and Dementia Research (ISD), LMU University Hospital, Ludwig-Maximilians-University (LMU), Munich, Germany.,Munich Cluster for Systems Neurology (SyNergy), Munich, Germany.,Munich Heart Alliance, Munich, Germany
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3
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Wang Y, Su W, Li Y, Yuan J, Yao M, Su X, Wang Y. Analyzing the pathogenesis of systemic lupus erythematosus complicated by atherosclerosis using transcriptome data. Front Immunol 2022; 13:935545. [PMID: 35935949 PMCID: PMC9354579 DOI: 10.3389/fimmu.2022.935545] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2022] [Accepted: 07/04/2022] [Indexed: 11/15/2022] Open
Abstract
Background Accumulating evidence supports the predisposition of systemic lupus erythematosus (SLE) to atherosclerosis (AS). However, the common pathogenesis of these two diseases remains unclear. This study aimed to explore the mechanisms of SLE complicated by AS. Methods Gene expression profiles of SLE (GSE50772) and AS (GSE100927) were downloaded from the Gene Expression Omnibus. We analyzed differentially expressed genes (DEGs) of SLE and AS and performed enrichment analyses separately. After analyzing the common DEGs (CDEGs), we performed functional enrichment analysis, protein-protein interaction (PPI) network analysis, and hub genes (HGs) identification of CDEGs. Then, we performed a co-expression analysis of HGs and verified their expression and diagnostic value. We further explored immune cell infiltration and analyzed the correlation between HGs and infiltrating immune cells (IICs). Finally, we verified the reliability of the screening pathway. Results We obtained 530 DEGs from the GSE50772 dataset and 448 DEGs from the GSE100927 dataset. The results of the enrichment analysis showed that there were many similar immune- and inflammation-related processes between the two diseases. We analyzed 26 CDEGs (two downregulated genes and 24 upregulated genes) and enrichment analysis highlighted the important role of the IL-17 signaling pathway. We identified five HGs (CCR1, CD163, IL1RN, MMP9, and SIGLEC1) using the CytoHubba plugin and HGs validation showed that the five HGs screened were reliable. Co-expression networks showed that five HGs can affect mononuclear cell migration. Immune cell infiltration analysis indicated monocytes in SLE and M0 macrophages in AS accounted for a high proportion of all IICs, and the difference in infiltration was obvious. We also found a significant positive correlation between CCR1, CD163, IL1RN, and MMP9 and monocytes in SLE, and a significant positive correlation between CCR1, IL1RN, MMP9, and SIGLEC1 and M0 macrophages in AS. Pathway validation also demonstrated that the IL-17 signaling pathway was a key pathway for the differentiation of monocytes into macrophages. Conclusions The five HGs may promote the differentiation of monocytes into macrophages by influencing the IL-17 signaling pathway, leading to SLE complicated by AS. Our study provides insights into the mechanisms of SLE complicated by AS.
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Guo X, Zhou S, Yang Z, Li ZA, Hu W, Dai L, Liang W, Wang X. Comprehensive Analysis of Sterol O-Acyltransferase 1 as a Prognostic Biomarker and Its Association With Immune Infiltration in Glioma. Front Oncol 2022; 12:896433. [PMID: 35646697 PMCID: PMC9133349 DOI: 10.3389/fonc.2022.896433] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2022] [Accepted: 04/11/2022] [Indexed: 12/30/2022] Open
Abstract
Metabolic reprogramming is a hallmark of glioma, and sterol O-acyltransferase 1 (SOAT1) is an essential target for metabolic therapy. However, the prognostic value of SOAT1 and its association with immune infiltration has not been fully elucidated. Using RNA-seq and clinical data of glioma patients from The Cancer Genome Atlas (TCGA), SOAT1 was found to be correlated with poor prognosis in glioma and the advanced malignancy of clinicopathological characteristics. Next, the correlation between SOAT1 expression and tumor-infiltrating immune cells was performed using the single-sample GSEA algorithm, gene expression profiling interactive analysis (GEPIA), and tumor immune estimation resource version 2 (TIMER2.0); it was found that SOAT1 expression was positively correlated with multiple tumor-infiltrating immune cells. To further verify these results, immunofluorescence was conducted on paraffin-embedded glioma specimens, and a positive trend of the correlation between SOAT1 expression and Treg infiltration was observed in this cohort. Finally, differentially expressed gene analysis, and Gene Ontology and Kyoto Encyclopedia of Genes and Genomes analyses were performed to explore the biological processes and signaling pathways that SOAT1 may be involved in during glioma pathogenesis. A protein-protein interaction network was established, and co-expression analysis was conducted to investigate the regulatory mechanism of SOAT1 in glioma. To the best of our knowledge, this is the first comprehensive study reporting that SOAT1 may serve as a novel prognostic biomarker associated with immune infiltrates, providing a novel perspective for glioma metabolic therapy.
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Affiliation(s)
- Xuyang Guo
- Department of Neurosurgery, The Fifth Affiliated Hospital of Zhengzhou University, Zhengzhou, China.,Henan International Joint Laboratory of Glioma Metabolism and Microenvironment Research, Zhengzhou, China
| | - Shaolong Zhou
- Department of Neurosurgery, The Fifth Affiliated Hospital of Zhengzhou University, Zhengzhou, China.,Henan International Joint Laboratory of Glioma Metabolism and Microenvironment Research, Zhengzhou, China
| | - Zhuo Yang
- Department of Neurosurgery, The Fifth Affiliated Hospital of Zhengzhou University, Zhengzhou, China.,Henan International Joint Laboratory of Glioma Metabolism and Microenvironment Research, Zhengzhou, China
| | - Zi-An Li
- Department of Neurosurgery, The Fifth Affiliated Hospital of Zhengzhou University, Zhengzhou, China.,Henan International Joint Laboratory of Glioma Metabolism and Microenvironment Research, Zhengzhou, China
| | - Weihua Hu
- Henan International Joint Laboratory of Glioma Metabolism and Microenvironment Research, Zhengzhou, China
| | - Lirui Dai
- Department of Neurosurgery, The Fifth Affiliated Hospital of Zhengzhou University, Zhengzhou, China.,Henan International Joint Laboratory of Glioma Metabolism and Microenvironment Research, Zhengzhou, China
| | - Wulong Liang
- Henan International Joint Laboratory of Glioma Metabolism and Microenvironment Research, Zhengzhou, China
| | - Xinjun Wang
- Department of Neurosurgery, The Fifth Affiliated Hospital of Zhengzhou University, Zhengzhou, China.,Henan International Joint Laboratory of Glioma Metabolism and Microenvironment Research, Zhengzhou, China
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5
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The Importance of Lipoprotein Lipase Regulation in Atherosclerosis. Biomedicines 2021; 9:biomedicines9070782. [PMID: 34356847 PMCID: PMC8301479 DOI: 10.3390/biomedicines9070782] [Citation(s) in RCA: 32] [Impact Index Per Article: 10.7] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2021] [Revised: 07/02/2021] [Accepted: 07/04/2021] [Indexed: 02/07/2023] Open
Abstract
Lipoprotein lipase (LPL) plays a major role in the lipid homeostasis mainly by mediating the intravascular lipolysis of triglyceride rich lipoproteins. Impaired LPL activity leads to the accumulation of chylomicrons and very low-density lipoproteins (VLDL) in plasma, resulting in hypertriglyceridemia. While low-density lipoprotein cholesterol (LDL-C) is recognized as a primary risk factor for atherosclerosis, hypertriglyceridemia has been shown to be an independent risk factor for cardiovascular disease (CVD) and a residual risk factor in atherosclerosis development. In this review, we focus on the lipolysis machinery and discuss the potential role of triglycerides, remnant particles, and lipolysis mediators in the onset and progression of atherosclerotic cardiovascular disease (ASCVD). This review details a number of important factors involved in the maturation and transportation of LPL to the capillaries, where the triglycerides are hydrolyzed, generating remnant lipoproteins. Moreover, LPL and other factors involved in intravascular lipolysis are also reported to impact the clearance of remnant lipoproteins from plasma and promote lipoprotein retention in capillaries. Apolipoproteins (Apo) and angiopoietin-like proteins (ANGPTLs) play a crucial role in regulating LPL activity and recent insights into LPL regulation may elucidate new pharmacological means to address the challenge of hypertriglyceridemia in atherosclerosis development.
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6
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Arlauckas S, Oh N, Li R, Weissleder R, Miller MA. Macrophage imaging and subset analysis using single-cell RNA sequencing. Nanotheranostics 2021; 5:36-56. [PMID: 33391974 PMCID: PMC7738942 DOI: 10.7150/ntno.50185] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2020] [Accepted: 10/19/2020] [Indexed: 12/12/2022] Open
Abstract
Macrophages have been associated with drug response and resistance in diverse settings, thus raising the possibility of using macrophage imaging as a companion diagnostic to inform personalized patient treatment strategies. Nanoparticle-based contrast agents are especially promising because they efficiently deliver fluorescent, magnetic, and/or radionuclide labels by leveraging the intrinsic capacity of macrophages to accumulate nanomaterials in their role as professional phagocytes. Unfortunately, current clinical imaging modalities are limited in their ability to quantify broad molecular programs that may explain (a) which particular cell subsets a given imaging agent is actually labeling, and (b) what mechanistic role those cells play in promoting drug response or resistance. Highly multiplexed single-cell approaches including single-cell RNA sequencing (scRNAseq) have emerged as resources to help answer these questions. In this review, we query recently published scRNAseq datasets to support companion macrophage imaging, with particular focus on using dextran-based nanoparticles to predict the action of anti-cancer nanotherapies and monoclonal antibodies.
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Affiliation(s)
- Sean Arlauckas
- Center for Systems Biology, Massachusetts General Hospital Research Institute, Boston, MA 02114, USA
| | - Nuri Oh
- Center for Systems Biology, Massachusetts General Hospital Research Institute, Boston, MA 02114, USA
| | - Ran Li
- Center for Systems Biology, Massachusetts General Hospital Research Institute, Boston, MA 02114, USA.,Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02115, USA
| | - Ralph Weissleder
- Center for Systems Biology, Massachusetts General Hospital Research Institute, Boston, MA 02114, USA.,Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02115, USA.,Department of Systems Biology, Harvard Medical School, Boston, MA 02115, USA
| | - Miles A Miller
- Center for Systems Biology, Massachusetts General Hospital Research Institute, Boston, MA 02114, USA.,Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02115, USA
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7
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Martinez-Morilla S, Zugazagoitia J, Wong PF, Kluger HM, Rimm DL. Quantitative analysis of CMTM6 expression in tumor microenvironment in metastatic melanoma and association with outcome on immunotherapy. Oncoimmunology 2020; 10:1864909. [PMID: 33457084 PMCID: PMC7781756 DOI: 10.1080/2162402x.2020.1864909] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2020] [Accepted: 12/12/2020] [Indexed: 12/31/2022] Open
Abstract
Chemokine-like factor (CKLF)-like MARVEL transmembrane domain containing 6 (CMTM6) modulates degradation of a number of proteins, including programmed death ligand-1 (PD-L1) by protecting it from ubiquitin-mediated degradation. In this role, it could modulate the effectiveness of immunotherapy. Here, for the first time, we characterize CMTM6 expression in melanoma and evaluate its association with response to immune checkpoint inhibitors (ICI). We evaluated the expression of CMTM6, PD-L1 and other immune-related proteins in 60 pretreatment biopsies from metastatic melanoma patients who received immunotherapy, in a tissue microarray (TMA) using quantitative immunofluorescence (QIF). Expression of mRNA from control patients obtained from The Cancer Genome Atlas (TCGA) database was also compared. CMTM6 expression was positively correlated with PD-L1, CD3, CD20, and CD68 markers, at protein (Pearson's r = 0.53-0.81, all P < .0001) and mRNA (Spearman's r = 0.15-0.44, all P < .002, except for CD68 where P = .26) levels. CMTM6 protein was associated with longer survival after immunotherapy when measured in the stromal (P = .007) and all the immune compartments tested (T cells, B cells, and macrophages). Multivariable analyses also revealed significant CMTM6 survival associations when measured in stromal (Hazard Ratio (HR) = 0.12, P = .001) and CD68-positive (HR = 0.30, P = .043) compartments. Additionally, PD-L1 but not CMTM6 showed prognostic value in control patients. Finally, high CMTM6 and PD-L1 co-expression in the stromal compartment was significantly associated with longer survival in treated patients (P = .028). Consequently, CMTM6 expression shows potential as a predictive factor for ICI treatments.
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Affiliation(s)
| | - Jon Zugazagoitia
- Department of Pathology, Yale University School of Medicine, New Haven, Connecticut, USA
| | - Pok Fai Wong
- Department of Pathology, Yale University School of Medicine, New Haven, Connecticut, USA
| | - Harriet M. Kluger
- Section of Medical Oncology, Department of Internal Medicine, Yale School of Medicine, New Haven, Connecticut, USA
| | - David L. Rimm
- Department of Pathology, Yale University School of Medicine, New Haven, Connecticut, USA
- Section of Medical Oncology, Department of Internal Medicine, Yale School of Medicine, New Haven, Connecticut, USA
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8
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Kontos C, El Bounkari O, Krammer C, Sinitski D, Hille K, Zan C, Yan G, Wang S, Gao Y, Brandhofer M, Megens RTA, Hoffmann A, Pauli J, Asare Y, Gerra S, Bourilhon P, Leng L, Eckstein HH, Kempf WE, Pelisek J, Gokce O, Maegdefessel L, Bucala R, Dichgans M, Weber C, Kapurniotu A, Bernhagen J. Designed CXCR4 mimic acts as a soluble chemokine receptor that blocks atherogenic inflammation by agonist-specific targeting. Nat Commun 2020; 11:5981. [PMID: 33239628 PMCID: PMC7689490 DOI: 10.1038/s41467-020-19764-z] [Citation(s) in RCA: 25] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2019] [Accepted: 10/28/2020] [Indexed: 11/22/2022] Open
Abstract
Targeting a specific chemokine/receptor axis in atherosclerosis remains challenging. Soluble receptor-based strategies are not established for chemokine receptors due to their discontinuous architecture. Macrophage migration-inhibitory factor (MIF) is an atypical chemokine that promotes atherosclerosis through CXC-motif chemokine receptor-4 (CXCR4). However, CXCR4/CXCL12 interactions also mediate atheroprotection. Here, we show that constrained 31-residue-peptides ('msR4Ms') designed to mimic the CXCR4-binding site to MIF, selectively bind MIF with nanomolar affinity and block MIF/CXCR4 without affecting CXCL12/CXCR4. We identify msR4M-L1, which blocks MIF- but not CXCL12-elicited CXCR4 vascular cell activities. Its potency compares well with established MIF inhibitors, whereas msR4M-L1 does not interfere with cardioprotective MIF/CD74 signaling. In vivo-administered msR4M-L1 enriches in atherosclerotic plaques, blocks arterial leukocyte adhesion, and inhibits atherosclerosis and inflammation in hyperlipidemic Apoe-/- mice in vivo. Finally, msR4M-L1 binds to MIF in plaques from human carotid-endarterectomy specimens. Together, we establish an engineered GPCR-ectodomain-based mimicry principle that differentiates between disease-exacerbating and -protective pathways and chemokine-selectively interferes with atherosclerosis.
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MESH Headings
- Aged
- Animals
- Antigens, CD/metabolism
- Atherosclerosis/drug therapy
- Atherosclerosis/genetics
- Atherosclerosis/pathology
- Atherosclerosis/surgery
- Binding Sites
- Carotid Artery, Common/pathology
- Carotid Artery, Common/surgery
- Chemokine CXCL12/metabolism
- Crystallography, X-Ray
- Disease Models, Animal
- Drug Design
- Drug Evaluation, Preclinical
- Endarterectomy, Carotid
- Female
- Humans
- Intramolecular Oxidoreductases/antagonists & inhibitors
- Intramolecular Oxidoreductases/metabolism
- Macrophage Migration-Inhibitory Factors/antagonists & inhibitors
- Macrophage Migration-Inhibitory Factors/metabolism
- Male
- Mice
- Mice, Knockout, ApoE
- Middle Aged
- Peptide Fragments/pharmacology
- Peptide Fragments/therapeutic use
- Receptors, CXCR4/chemistry
- Receptors, CXCR4/metabolism
- Receptors, CXCR4/ultrastructure
- Sialyltransferases/metabolism
- Signal Transduction/drug effects
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Affiliation(s)
- Christos Kontos
- Division of Peptide Biochemistry, TUM School of Life Sciences, Technische Universität München (TUM), 85354, Freising, Germany
| | - Omar El Bounkari
- Institute for Stroke and Dementia Research (ISD), Klinikum der Universität München, Ludwig-Maximilians-Universität (LMU) München, 81377, Munich, Germany
| | - Christine Krammer
- Institute for Stroke and Dementia Research (ISD), Klinikum der Universität München, Ludwig-Maximilians-Universität (LMU) München, 81377, Munich, Germany
| | - Dzmitry Sinitski
- Institute for Stroke and Dementia Research (ISD), Klinikum der Universität München, Ludwig-Maximilians-Universität (LMU) München, 81377, Munich, Germany
| | - Kathleen Hille
- Division of Peptide Biochemistry, TUM School of Life Sciences, Technische Universität München (TUM), 85354, Freising, Germany
| | - Chunfang Zan
- Institute for Stroke and Dementia Research (ISD), Klinikum der Universität München, Ludwig-Maximilians-Universität (LMU) München, 81377, Munich, Germany
| | - Guangyao Yan
- Institute for Stroke and Dementia Research (ISD), Klinikum der Universität München, Ludwig-Maximilians-Universität (LMU) München, 81377, Munich, Germany
| | - Sijia Wang
- Institute for Stroke and Dementia Research (ISD), Klinikum der Universität München, Ludwig-Maximilians-Universität (LMU) München, 81377, Munich, Germany
| | - Ying Gao
- Institute for Stroke and Dementia Research (ISD), Klinikum der Universität München, Ludwig-Maximilians-Universität (LMU) München, 81377, Munich, Germany
| | - Markus Brandhofer
- Institute for Stroke and Dementia Research (ISD), Klinikum der Universität München, Ludwig-Maximilians-Universität (LMU) München, 81377, Munich, Germany
| | - Remco T A Megens
- Institute for Cardiovascular Prevention, Klinikum der Universität München, Ludwig-Maximilians-Universität (LMU) München, 80336, Munich, Germany
| | - Adrian Hoffmann
- Institute for Stroke and Dementia Research (ISD), Klinikum der Universität München, Ludwig-Maximilians-Universität (LMU) München, 81377, Munich, Germany
- Department of Anaesthesiology, Klinikum der Universität München, Ludwig-Maximilians-Universität (LMU) München, 81377, Munich, Germany
| | - Jessica Pauli
- Department for Vascular and Endovascular Surgery, Klinikum rechts der Isar, Technische Universität München (TUM), 81675, Munich, Germany
| | - Yaw Asare
- Institute for Stroke and Dementia Research (ISD), Klinikum der Universität München, Ludwig-Maximilians-Universität (LMU) München, 81377, Munich, Germany
| | - Simona Gerra
- Institute for Stroke and Dementia Research (ISD), Klinikum der Universität München, Ludwig-Maximilians-Universität (LMU) München, 81377, Munich, Germany
| | - Priscila Bourilhon
- Institute for Stroke and Dementia Research (ISD), Klinikum der Universität München, Ludwig-Maximilians-Universität (LMU) München, 81377, Munich, Germany
| | - Lin Leng
- Yale University School of Medicine, New Haven, CT, 06510, USA
| | - Hans-Henning Eckstein
- Department for Vascular and Endovascular Surgery, Klinikum rechts der Isar, Technische Universität München (TUM), 81675, Munich, Germany
| | - Wolfgang E Kempf
- Department for Vascular and Endovascular Surgery, Klinikum rechts der Isar, Technische Universität München (TUM), 81675, Munich, Germany
| | - Jaroslav Pelisek
- Department for Vascular and Endovascular Surgery, Klinikum rechts der Isar, Technische Universität München (TUM), 81675, Munich, Germany
- Department of Vascular Surgery, University Hospital Zurich, 8091, Zurich, Switzerland
| | - Ozgun Gokce
- Institute for Stroke and Dementia Research (ISD), Klinikum der Universität München, Ludwig-Maximilians-Universität (LMU) München, 81377, Munich, Germany
- Munich Cluster for Systems Neurology (SyNergy), 81377, Munich, Germany
| | - Lars Maegdefessel
- Department for Vascular and Endovascular Surgery, Klinikum rechts der Isar, Technische Universität München (TUM), 81675, Munich, Germany
| | - Richard Bucala
- Yale University School of Medicine, New Haven, CT, 06510, USA
| | - Martin Dichgans
- Institute for Stroke and Dementia Research (ISD), Klinikum der Universität München, Ludwig-Maximilians-Universität (LMU) München, 81377, Munich, Germany
- Munich Cluster for Systems Neurology (SyNergy), 81377, Munich, Germany
| | - Christian Weber
- Institute for Cardiovascular Prevention, Klinikum der Universität München, Ludwig-Maximilians-Universität (LMU) München, 80336, Munich, Germany
- Munich Cluster for Systems Neurology (SyNergy), 81377, Munich, Germany
- Munich Heart Alliance, 80802, Munich, Germany
- Cardiovascular Research Institute Maastricht (CARIM), Maastricht University, 6229, Maastricht, The Netherlands
| | - Aphrodite Kapurniotu
- Division of Peptide Biochemistry, TUM School of Life Sciences, Technische Universität München (TUM), 85354, Freising, Germany.
| | - Jürgen Bernhagen
- Institute for Stroke and Dementia Research (ISD), Klinikum der Universität München, Ludwig-Maximilians-Universität (LMU) München, 81377, Munich, Germany.
- Munich Cluster for Systems Neurology (SyNergy), 81377, Munich, Germany.
- Munich Heart Alliance, 80802, Munich, Germany.
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9
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Ding X, Xiang W, He X. IFN-I Mediates Dysfunction of Endothelial Progenitor Cells in Atherosclerosis of Systemic Lupus Erythematosus. Front Immunol 2020; 11:581385. [PMID: 33262760 PMCID: PMC7686511 DOI: 10.3389/fimmu.2020.581385] [Citation(s) in RCA: 21] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2020] [Accepted: 10/14/2020] [Indexed: 12/14/2022] Open
Abstract
Systemic lupus erythematosus (SLE) is a multi-system autoimmune disease including the cardiovascular system. Atherosclerosis is the most common cardiovascular complication of SLE and a significant risk factor for morbidity and mortality. Vascular damage/protection mechanism in SLE patients is out of balance, caused by the cascade reaction among oxidative stress, proinflammatory cytokines, Neutrophil Extracellular Traps, activation of B cells and autoantibodies and abnormal T cells. As a precursor cell repairing vascular endothelium, endothelial progenitor cells (EPCs) belong to the protective mechanism and show the reduced number and impaired function in SLE. However, the pathological mechanism of EPCs dysfunction in SLE remains ill-defined. This paper reviews the latest SLE epidemiology and pathogenesis, discusses the changes in the number and function of EPCs in SLE, expounds the role of EPCs in SLE atherosclerosis, and provides new guidance and theoretical basis for exploring novel targets for SLE treatment.
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Affiliation(s)
- Xuewei Ding
- Institute of Pediatrics, The Second Xiangya Hospital, Central South University, Changsha, China.,Laboratory of Pediatric Nephrology, Institute of Pediatrics, The Second Xiangya Hospital, Central South University, Changsha, China
| | - Wei Xiang
- Key Laboratory of Tropical Translational Medicine of Ministry of Education, Hainan Medical University, NHC Key Laboratory of Control of Tropical diseases (Hainan Medical University), Haikou, China
| | - Xiaojie He
- Institute of Pediatrics, The Second Xiangya Hospital, Central South University, Changsha, China.,Laboratory of Pediatric Nephrology, Institute of Pediatrics, The Second Xiangya Hospital, Central South University, Changsha, China
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10
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Wang D, Yang Y, Lei Y, Tzvetkov NT, Liu X, Yeung AWK, Xu S, Atanasov AG. Targeting Foam Cell Formation in Atherosclerosis: Therapeutic Potential of Natural Products. Pharmacol Rev 2019; 71:596-670. [PMID: 31554644 DOI: 10.1124/pr.118.017178] [Citation(s) in RCA: 104] [Impact Index Per Article: 20.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022] Open
Abstract
Foam cell formation and further accumulation in the subendothelial space of the vascular wall is a hallmark of atherosclerotic lesions. Targeting foam cell formation in the atherosclerotic lesions can be a promising approach to treat and prevent atherosclerosis. The formation of foam cells is determined by the balanced effects of three major interrelated biologic processes, including lipid uptake, cholesterol esterification, and cholesterol efflux. Natural products are a promising source for new lead structures. Multiple natural products and pharmaceutical agents can inhibit foam cell formation and thus exhibit antiatherosclerotic capacity by suppressing lipid uptake, cholesterol esterification, and/or promoting cholesterol ester hydrolysis and cholesterol efflux. This review summarizes recent findings on these three biologic processes and natural products with demonstrated potential to target such processes. Discussed also are potential future directions for studying the mechanisms of foam cell formation and the development of foam cell-targeted therapeutic strategies.
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Affiliation(s)
- Dongdong Wang
- The Second Affiliated Hospital of Guizhou University of Traditional Chinese Medicine, Guiyang, China (D.W., X.L.); Department of Molecular Biology, Institute of Genetics and Animal Breeding of the Polish Academy of Sciences, Jastrzębiec, Poland (D.W., Y.Y., Y.L., A.G.A.); Department of Pharmacognosy, University of Vienna, Vienna, Austria (A.G.A.); Institute of Clinical Chemistry, University Hospital Zurich, Schlieren, Switzerland (D.W.); Institute of Molecular Biology "Roumen Tsanev," Department of Biochemical Pharmacology and Drug Design, Bulgarian Academy of Sciences, Sofia, Bulgaria (N.T.T.); Pharmaceutical Institute, University of Bonn, Bonn, Germany (N.T.T.); Aab Cardiovascular Research Institute, Department of Medicine, University of Rochester, Rochester, New York (S.X.); Oral and Maxillofacial Radiology, Applied Oral Sciences and Community Dental Care, Faculty of Dentistry, The University of Hong Kong, Hong Kong, China (A.W.K.Y.); and Institute of Neurobiology, Bulgarian Academy of Sciences, Sofia, Bulgaria (A.G.A.)
| | - Yang Yang
- The Second Affiliated Hospital of Guizhou University of Traditional Chinese Medicine, Guiyang, China (D.W., X.L.); Department of Molecular Biology, Institute of Genetics and Animal Breeding of the Polish Academy of Sciences, Jastrzębiec, Poland (D.W., Y.Y., Y.L., A.G.A.); Department of Pharmacognosy, University of Vienna, Vienna, Austria (A.G.A.); Institute of Clinical Chemistry, University Hospital Zurich, Schlieren, Switzerland (D.W.); Institute of Molecular Biology "Roumen Tsanev," Department of Biochemical Pharmacology and Drug Design, Bulgarian Academy of Sciences, Sofia, Bulgaria (N.T.T.); Pharmaceutical Institute, University of Bonn, Bonn, Germany (N.T.T.); Aab Cardiovascular Research Institute, Department of Medicine, University of Rochester, Rochester, New York (S.X.); Oral and Maxillofacial Radiology, Applied Oral Sciences and Community Dental Care, Faculty of Dentistry, The University of Hong Kong, Hong Kong, China (A.W.K.Y.); and Institute of Neurobiology, Bulgarian Academy of Sciences, Sofia, Bulgaria (A.G.A.)
| | - Yingnan Lei
- The Second Affiliated Hospital of Guizhou University of Traditional Chinese Medicine, Guiyang, China (D.W., X.L.); Department of Molecular Biology, Institute of Genetics and Animal Breeding of the Polish Academy of Sciences, Jastrzębiec, Poland (D.W., Y.Y., Y.L., A.G.A.); Department of Pharmacognosy, University of Vienna, Vienna, Austria (A.G.A.); Institute of Clinical Chemistry, University Hospital Zurich, Schlieren, Switzerland (D.W.); Institute of Molecular Biology "Roumen Tsanev," Department of Biochemical Pharmacology and Drug Design, Bulgarian Academy of Sciences, Sofia, Bulgaria (N.T.T.); Pharmaceutical Institute, University of Bonn, Bonn, Germany (N.T.T.); Aab Cardiovascular Research Institute, Department of Medicine, University of Rochester, Rochester, New York (S.X.); Oral and Maxillofacial Radiology, Applied Oral Sciences and Community Dental Care, Faculty of Dentistry, The University of Hong Kong, Hong Kong, China (A.W.K.Y.); and Institute of Neurobiology, Bulgarian Academy of Sciences, Sofia, Bulgaria (A.G.A.)
| | - Nikolay T Tzvetkov
- The Second Affiliated Hospital of Guizhou University of Traditional Chinese Medicine, Guiyang, China (D.W., X.L.); Department of Molecular Biology, Institute of Genetics and Animal Breeding of the Polish Academy of Sciences, Jastrzębiec, Poland (D.W., Y.Y., Y.L., A.G.A.); Department of Pharmacognosy, University of Vienna, Vienna, Austria (A.G.A.); Institute of Clinical Chemistry, University Hospital Zurich, Schlieren, Switzerland (D.W.); Institute of Molecular Biology "Roumen Tsanev," Department of Biochemical Pharmacology and Drug Design, Bulgarian Academy of Sciences, Sofia, Bulgaria (N.T.T.); Pharmaceutical Institute, University of Bonn, Bonn, Germany (N.T.T.); Aab Cardiovascular Research Institute, Department of Medicine, University of Rochester, Rochester, New York (S.X.); Oral and Maxillofacial Radiology, Applied Oral Sciences and Community Dental Care, Faculty of Dentistry, The University of Hong Kong, Hong Kong, China (A.W.K.Y.); and Institute of Neurobiology, Bulgarian Academy of Sciences, Sofia, Bulgaria (A.G.A.)
| | - Xingde Liu
- The Second Affiliated Hospital of Guizhou University of Traditional Chinese Medicine, Guiyang, China (D.W., X.L.); Department of Molecular Biology, Institute of Genetics and Animal Breeding of the Polish Academy of Sciences, Jastrzębiec, Poland (D.W., Y.Y., Y.L., A.G.A.); Department of Pharmacognosy, University of Vienna, Vienna, Austria (A.G.A.); Institute of Clinical Chemistry, University Hospital Zurich, Schlieren, Switzerland (D.W.); Institute of Molecular Biology "Roumen Tsanev," Department of Biochemical Pharmacology and Drug Design, Bulgarian Academy of Sciences, Sofia, Bulgaria (N.T.T.); Pharmaceutical Institute, University of Bonn, Bonn, Germany (N.T.T.); Aab Cardiovascular Research Institute, Department of Medicine, University of Rochester, Rochester, New York (S.X.); Oral and Maxillofacial Radiology, Applied Oral Sciences and Community Dental Care, Faculty of Dentistry, The University of Hong Kong, Hong Kong, China (A.W.K.Y.); and Institute of Neurobiology, Bulgarian Academy of Sciences, Sofia, Bulgaria (A.G.A.)
| | - Andy Wai Kan Yeung
- The Second Affiliated Hospital of Guizhou University of Traditional Chinese Medicine, Guiyang, China (D.W., X.L.); Department of Molecular Biology, Institute of Genetics and Animal Breeding of the Polish Academy of Sciences, Jastrzębiec, Poland (D.W., Y.Y., Y.L., A.G.A.); Department of Pharmacognosy, University of Vienna, Vienna, Austria (A.G.A.); Institute of Clinical Chemistry, University Hospital Zurich, Schlieren, Switzerland (D.W.); Institute of Molecular Biology "Roumen Tsanev," Department of Biochemical Pharmacology and Drug Design, Bulgarian Academy of Sciences, Sofia, Bulgaria (N.T.T.); Pharmaceutical Institute, University of Bonn, Bonn, Germany (N.T.T.); Aab Cardiovascular Research Institute, Department of Medicine, University of Rochester, Rochester, New York (S.X.); Oral and Maxillofacial Radiology, Applied Oral Sciences and Community Dental Care, Faculty of Dentistry, The University of Hong Kong, Hong Kong, China (A.W.K.Y.); and Institute of Neurobiology, Bulgarian Academy of Sciences, Sofia, Bulgaria (A.G.A.)
| | - Suowen Xu
- The Second Affiliated Hospital of Guizhou University of Traditional Chinese Medicine, Guiyang, China (D.W., X.L.); Department of Molecular Biology, Institute of Genetics and Animal Breeding of the Polish Academy of Sciences, Jastrzębiec, Poland (D.W., Y.Y., Y.L., A.G.A.); Department of Pharmacognosy, University of Vienna, Vienna, Austria (A.G.A.); Institute of Clinical Chemistry, University Hospital Zurich, Schlieren, Switzerland (D.W.); Institute of Molecular Biology "Roumen Tsanev," Department of Biochemical Pharmacology and Drug Design, Bulgarian Academy of Sciences, Sofia, Bulgaria (N.T.T.); Pharmaceutical Institute, University of Bonn, Bonn, Germany (N.T.T.); Aab Cardiovascular Research Institute, Department of Medicine, University of Rochester, Rochester, New York (S.X.); Oral and Maxillofacial Radiology, Applied Oral Sciences and Community Dental Care, Faculty of Dentistry, The University of Hong Kong, Hong Kong, China (A.W.K.Y.); and Institute of Neurobiology, Bulgarian Academy of Sciences, Sofia, Bulgaria (A.G.A.)
| | - Atanas G Atanasov
- The Second Affiliated Hospital of Guizhou University of Traditional Chinese Medicine, Guiyang, China (D.W., X.L.); Department of Molecular Biology, Institute of Genetics and Animal Breeding of the Polish Academy of Sciences, Jastrzębiec, Poland (D.W., Y.Y., Y.L., A.G.A.); Department of Pharmacognosy, University of Vienna, Vienna, Austria (A.G.A.); Institute of Clinical Chemistry, University Hospital Zurich, Schlieren, Switzerland (D.W.); Institute of Molecular Biology "Roumen Tsanev," Department of Biochemical Pharmacology and Drug Design, Bulgarian Academy of Sciences, Sofia, Bulgaria (N.T.T.); Pharmaceutical Institute, University of Bonn, Bonn, Germany (N.T.T.); Aab Cardiovascular Research Institute, Department of Medicine, University of Rochester, Rochester, New York (S.X.); Oral and Maxillofacial Radiology, Applied Oral Sciences and Community Dental Care, Faculty of Dentistry, The University of Hong Kong, Hong Kong, China (A.W.K.Y.); and Institute of Neurobiology, Bulgarian Academy of Sciences, Sofia, Bulgaria (A.G.A.)
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11
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Fuior EV, Gafencu AV. Apolipoprotein C1: Its Pleiotropic Effects in Lipid Metabolism and Beyond. Int J Mol Sci 2019; 20:ijms20235939. [PMID: 31779116 PMCID: PMC6928722 DOI: 10.3390/ijms20235939] [Citation(s) in RCA: 94] [Impact Index Per Article: 18.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/02/2019] [Revised: 11/19/2019] [Accepted: 11/21/2019] [Indexed: 12/20/2022] Open
Abstract
Apolipoprotein C1 (apoC1), the smallest of all apolipoproteins, participates in lipid transport and metabolism. In humans, APOC1 gene is in linkage disequilibrium with APOE gene on chromosome 19, a proximity that spurred its investigation. Apolipoprotein C1 associates with triglyceride-rich lipoproteins and HDL and exchanges between lipoprotein classes. These interactions occur via amphipathic helix motifs, as demonstrated by biophysical studies on the wild-type polypeptide and representative mutants. Apolipoprotein C1 acts on lipoprotein receptors by inhibiting binding mediated by apolipoprotein E, and modulating the activities of several enzymes. Thus, apoC1 downregulates lipoprotein lipase, hepatic lipase, phospholipase A2, cholesterylester transfer protein, and activates lecithin-cholesterol acyl transferase. By controlling the plasma levels of lipids, apoC1 relates directly to cardiovascular physiology, but its activity extends beyond, to inflammation and immunity, sepsis, diabetes, cancer, viral infectivity, and-not last-to cognition. Such correlations were established based on studies using transgenic mice, associated in the recent years with GWAS, transcriptomic and proteomic analyses. The presence of a duplicate gene, pseudogene APOC1P, stimulated evolutionary studies and more recently, the regulatory properties of the corresponding non-coding RNA are steadily emerging. Nonetheless, this prototypical apolipoprotein is still underexplored and deserves further research for understanding its physiology and exploiting its therapeutic potential.
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Affiliation(s)
- Elena V. Fuior
- Institute of Cellular Biology and Pathology “N. Simionescu”, 050568 Bucharest, Romania;
| | - Anca V. Gafencu
- Institute of Cellular Biology and Pathology “N. Simionescu”, 050568 Bucharest, Romania;
- Correspondence:
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12
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Zugazagoitia J, Liu Y, Toki M, McGuire J, Ahmed FS, Henick BS, Gupta R, Gettinger SN, Herbst RS, Schalper KA, Rimm DL. Quantitative Assessment of CMTM6 in the Tumor Microenvironment and Association with Response to PD-1 Pathway Blockade in Advanced-Stage Non-Small Cell Lung Cancer. J Thorac Oncol 2019; 14:2084-2096. [PMID: 31605795 DOI: 10.1016/j.jtho.2019.09.014] [Citation(s) in RCA: 44] [Impact Index Per Article: 8.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2019] [Revised: 08/12/2019] [Accepted: 09/12/2019] [Indexed: 02/07/2023]
Abstract
INTRODUCTION CKLF like MARVEL transmembrane domain containing 6 (CMTM6) has been described as a programmed death ligand 1 (PD-L1) regulator at the protein level by modulating stability through ubiquitination. In this study, we describe the patterns of CMTM6 expression and assess its association with response to programmed cell death 1 pathway blockade in NSCLC. METHODS We used multiplexed quantitative immunofluorescence to determine the expression of CMTM6 and PD-L1 in 438 NSCLCs represented in tissue microarrays, including in two independent retrospective cohorts of immunotherapy-treated (n = 69) and non-immunotherapy-treated (n = 258) patients and a third collection of EGFR- and KRAS-genotyped tumors (n = 111). RESULTS Tumor and stromal CMTM6 expression was detected in approximately 70% of NSCLCs. CMTM6 expression was not associated with clinical features or EGFR/KRAS mutational status and showed a modest correlation with T-cell infiltration (R2 < 0.40). We found a significant correlation between CMTM6 and PD-L1, which was higher in the stroma (R2 = 0.51) than in tumor cells (R2 = 0.35). In our retrospective NSCLC cohort, neither CMTM6 nor PD-L1 expression alone significantly predicted immunotherapy outcomes. However, high CMTM6 and PD-L1 coexpression in the stromal and CD68 compartments (adjusted hazard ratio = 0.38, p = 0.03), but not in tumor cells (p = 0.15), was significantly associated with longer overall survival in treated patients but was not observed in the absence of immunotherapy. CONCLUSION This study supports the mechanistic role for CMTM6 in stabilization of PD-L1 in patient tumors and suggests that high coexpression of CMTM6 and PD-L1, particularly in stromal immune cells (macrophages), might identify the greatest benefit from programmed cell death 1 axis blockade in NSCLC.
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Affiliation(s)
- Jon Zugazagoitia
- Department of Pathology, Yale University School of Medicine, New Haven, Connecticut
| | - Yuting Liu
- Department of Pathology, Yale University School of Medicine, New Haven, Connecticut
| | - Maria Toki
- Department of Pathology, Yale University School of Medicine, New Haven, Connecticut; Department of Medicine, Sotiria General Hospital, Athens School of Medicine, Athens, Greece
| | - John McGuire
- Department of Pathology, Yale University School of Medicine, New Haven, Connecticut
| | - Fahad Shabbir Ahmed
- Department of Pathology, Yale University School of Medicine, New Haven, Connecticut
| | - Brian S Henick
- Department of Medicine (Oncology), Columbia University Medical Center, New York, New York
| | - Richa Gupta
- Department of Pathology, Yale University School of Medicine, New Haven, Connecticut
| | - Scott N Gettinger
- Department of Medicine (Oncology), Yale University School of Medicine, New Haven, Connecticut
| | - Roy S Herbst
- Department of Medicine (Oncology), Yale University School of Medicine, New Haven, Connecticut
| | - Kurt A Schalper
- Department of Pathology, Yale University School of Medicine, New Haven, Connecticut; Department of Medicine (Oncology), Yale University School of Medicine, New Haven, Connecticut
| | - David L Rimm
- Department of Pathology, Yale University School of Medicine, New Haven, Connecticut; Department of Medicine (Oncology), Yale University School of Medicine, New Haven, Connecticut.
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13
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Wilson JL, Mayr HK, Weichhart T. Metabolic Programming of Macrophages: Implications in the Pathogenesis of Granulomatous Disease. Front Immunol 2019; 10:2265. [PMID: 31681260 PMCID: PMC6797840 DOI: 10.3389/fimmu.2019.02265] [Citation(s) in RCA: 40] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2019] [Accepted: 09/09/2019] [Indexed: 12/16/2022] Open
Abstract
Metabolic reprogramming is rapidly gaining appreciation in the etiology of immune cell dysfunction in a variety of diseases. Tuberculosis, schistosomiasis, and sarcoidosis represent an important class of diseases characterized by the formation of granulomas, where macrophages are causatively implicated in disease pathogenesis. Recent studies support the incidence of macrophage metabolic reprogramming in granulomas of both infectious and non-infectious origin. These publications identify the mechanistic target of rapamycin (mTOR), as well as the major regulators of lipid metabolism and cellular energy balance, peroxisome proliferator receptor gamma (PPAR-γ) and adenosine monophosphate-activated protein kinase (AMPK), respectively, as key players in the pathological progression of granulomas. In this review, we present a comprehensive breakdown of emerging research on the link between macrophage cell metabolism and granulomas of different etiology, and how parallels can be drawn between different forms of granulomatous disease. In particular, we discuss the role of PPAR-γ signaling and lipid metabolism, which are currently the best-represented metabolic pathways in this context, and we highlight dysregulated lipid metabolism as a common denominator in granulomatous disease progression. This review therefore aims to highlight metabolic mechanisms of granuloma immune cell fate and open up research questions for the identification of potential therapeutic targets in the future.
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Affiliation(s)
- Jayne Louise Wilson
- Center for Pathobiochemistry and Genetics, Institute of Medical Genetics, Medical University of Vienna, Vienna, Austria
| | - Hannah Katharina Mayr
- Center for Pathobiochemistry and Genetics, Institute of Medical Genetics, Medical University of Vienna, Vienna, Austria
| | - Thomas Weichhart
- Center for Pathobiochemistry and Genetics, Institute of Medical Genetics, Medical University of Vienna, Vienna, Austria
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14
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Arnold KA, Blair JE, Paul JD, Shah AP, Nathan S, Alenghat FJ. Monocyte and macrophage subtypes as paired cell biomarkers for coronary artery disease. Exp Physiol 2019; 104:1343-1352. [PMID: 31264265 DOI: 10.1113/ep087827] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2019] [Accepted: 07/01/2019] [Indexed: 12/24/2022]
Abstract
NEW FINDINGS What is the central question of this study? Are circulating monocyte markers correlated with their derived macrophage polarization patterns and coronary artery disease severity? What is the main finding and its importance? There was an inverse relationship between circulating CD16+ monocytes (high) and M2 macrophages (low) that marked coronary disease severity, and the differences in polarization of macrophages were seen despite a week of cell culture ex vivo. This study highlights the importance, and potential prognostic implications, of circulating monocyte and descendant macrophage phenotypes in coronary artery disease. ABSTRACT Monocytes and macrophages are central to atherosclerosis, but how they combine to mark progression of human coronary artery disease (CAD) is unclear. We tested whether patients' monocyte subtypes paired with their derived macrophage profiles were correlated with extent of CAD. Peripheral blood was collected from 40 patients undergoing cardiac catheterization, and patients were categorized as having no significant CAD, single vessel disease or multivessel disease according to the number of affected coronary arteries. Mononuclear cells were measured for the monocyte markers CD14 and CD16 by flow cytometry, and separate monocytes were cultured into macrophages over 7 days and measured for the polarization markers CD86 and CD206. At baseline, patients with a greater CAD burden were older, with higher rates of statin, β-blocker and antiplatelet drug use, whereas other characteristics were similar across the spectrum of coronary disease. CD16+ (both intermediate and non-classical) monocytes were elevated in patients with single vessel and multivessel disease compared with those without significant CAD (P < 0.05), whereas regulatory M2 macrophages (CD206+ ) were decreased in patients with single vessel and multivessel disease (P < 0.001). An inverse relationship between paired CD16+ monocytes and M2 macrophages marked CAD severity. On multivariable linear regression, CAD severity was associated, along with age and traditional cardiovascular risk factors, with CD16+ monocytes (directly) and M2 macrophages (inversely). Circulating monocytes may influence downstream polarization of lesional macrophages, and these measures of monocyte and macrophage subtypes hold potential as biomarkers in CAD.
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Affiliation(s)
- Kathryn A Arnold
- University of Chicago Pritzker School of Medicine, Chicago, IL, USA
| | - John E Blair
- Section of Cardiology, Department of Medicine, University of Chicago, Chicago, IL, USA
| | - Jonathan D Paul
- Section of Cardiology, Department of Medicine, University of Chicago, Chicago, IL, USA
| | - Atman P Shah
- Section of Cardiology, Department of Medicine, University of Chicago, Chicago, IL, USA
| | - Sandeep Nathan
- Section of Cardiology, Department of Medicine, University of Chicago, Chicago, IL, USA
| | - Francis J Alenghat
- Section of Cardiology, Department of Medicine, University of Chicago, Chicago, IL, USA
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15
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Evangelou P, Groll M, Oppermann H, Gaunitz F, Eisenlöffel C, Müller W, Eschrich K, Schänzer A, Nestler U. Assessment of ApoC1, LuzP6, C12orf75 and OCC-1 in cystic glioblastoma using MALDI-TOF mass spectrometry, immunohistochemistry and qRT-PCR. Med Mol Morphol 2019; 52:217-225. [PMID: 31006040 PMCID: PMC6885021 DOI: 10.1007/s00795-019-00223-8] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/31/2018] [Accepted: 04/08/2019] [Indexed: 12/24/2022]
Abstract
Mass spectrometric analysis of glioblastoma cyst fluids has disclosed a protein peak with m/z 6424–6433. Among the proteins, potentially generating this peak are ApoC1 and LuzP6. To further elucidate protein expression of glioblastoma cells, we analyzed MALDI–TOF results of cyst fluid, performed immunohistochemistry and mRNA analysis. MALDI–TOF protein extraction from 24 glioblastoma cyst fluids was performed with a weak cation exchange. 50 glioblastoma samples were stained with two custom-made antibodies against LuzP6 and commercial antibodies against ApoC1, C12orf75 and OCC-1 and analyzed. For mRNA detection, 16 tissue samples were stored in RNAlater, extracted using the miRNeasy kit and reversely transcribed. For 12 patients, synopsis of results from all three examinations was possible. MALDI–TOF confirmed the peak at 6433 Da in 75% of samples. Immunohistochemically, LuzP6 was detected in 92% (LuzP61–29) and 96% (LuzP630–58) of samples and ApoC1 in 66%. Mean mRNA levels were highest for ApoC1, followed by LuzP6. No correlation between mRNA expression, immunohistochemical staining and intensity of the MALDI–TOF peaks was found. An unequivocal identification of one protein as the source for the 6433 peak is not possible, but our results point to ApoC1 and LuzP6 as the underlying proteins.
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Affiliation(s)
- Petros Evangelou
- Department of Neurosurgery, University Hospital Leipzig, Liebigstrasse 20, 04103, Leipzig, Germany
| | - Mathias Groll
- Department of Neurosurgery, University Hospital Leipzig, Liebigstrasse 20, 04103, Leipzig, Germany
| | - Henry Oppermann
- Department of Neurosurgery, University Hospital Leipzig, Liebigstrasse 20, 04103, Leipzig, Germany
| | - Frank Gaunitz
- Department of Neurosurgery, University Hospital Leipzig, Liebigstrasse 20, 04103, Leipzig, Germany
| | - Christian Eisenlöffel
- Institute of Neuropathology, University Hospital Leipzig, Liebigstrasse 26, 04103, Leipzig, Germany
| | - Wolf Müller
- Institute of Neuropathology, University Hospital Leipzig, Liebigstrasse 26, 04103, Leipzig, Germany
| | - Klaus Eschrich
- Rudolf Schoenheimer Institute of Biochemistry, Medical Faculty, University of Leipzig, Johannisallee 30, 04103, Leipzig, Germany
| | - Anne Schänzer
- Institute of Neuropathology, Justus Liebig University Giessen, 35392, Giessen, Germany
| | - Ulf Nestler
- Department of Neurosurgery, University Hospital Leipzig, Liebigstrasse 20, 04103, Leipzig, Germany.
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