1
|
Debette S, Caro I, Western D, Namba S, Sun N, Kawaguchi S, He Y, Fujita M, Roshchupkin G, D'Aoust T, Duperron MG, Sargurupremraj M, Tsuchida A, Koido M, Ahmadi M, Yang C, Timsina J, Ibanez L, Matsuda K, Suzuki Y, Oda Y, Kanai A, Jandaghi P, Munter HM, Auld D, Astafeva I, Puerta R, Rotter J, Psaty B, Bis J, Longstreth W, Couffinhal T, Garcia-Gonzalez P, Pytel V, Marquié M, Cano A, Boada M, Joliot M, Lathrop M, Grand QL, Launer L, Wardlaw J, Heiman M, Ruiz A, Matthews P, Seshadri S, Fornage M, Adams H, Mishra A, Trégouët DA, Okada Y, Kellis M, De Jager P, Tzourio C, Kamatani Y, Matsuda F, Cruchaga C. Proteogenomics in cerebrospinal fluid and plasma reveals new biological fingerprint of cerebral small vessel disease. RESEARCH SQUARE 2024:rs.3.rs-4535534. [PMID: 39011113 PMCID: PMC11247936 DOI: 10.21203/rs.3.rs-4535534/v1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/17/2024]
Abstract
Cerebral small vessel disease (cSVD) is a leading cause of stroke and dementia with no specific mechanism-based treatment. We used Mendelian randomization to combine a unique cerebrospinal fluid (CSF) and plasma pQTL resource with the latest European-ancestry GWAS of MRI-markers of cSVD (white matter hyperintensities, perivascular spaces). We describe a new biological fingerprint of 49 protein-cSVD associations, predominantly in the CSF. We implemented a multipronged follow-up, across fluids, platforms, and ancestries (Europeans and East-Asian), including testing associations of direct plasma protein measurements with MRI-cSVD. We highlight 16 proteins robustly associated in both CSF and plasma, with 24/4 proteins identified in CSF/plasma only. cSVD-proteins were enriched in extracellular matrix and immune response pathways, and in genes enriched in microglia and specific microglial states (integration with single-nucleus RNA sequencing). Immune-related proteins were associated with MRI-cSVD already at age twenty. Half of cSVD-proteins were associated with stroke, dementia, or both, and seven cSVD-proteins are targets for known drugs (used for other indications in directions compatible with beneficial therapeutic effects. This first cSVD proteogenomic signature opens new avenues for biomarker and therapeutic developments.
Collapse
|
2
|
Le Grand Q, Tsuchida A, Koch A, Imtiaz MA, Aziz NA, Vigneron C, Zago L, Lathrop M, Dubrac A, Couffinhal T, Crivello F, Matthews PM, Mishra A, Breteler MMB, Tzourio C, Debette S. Diffusion imaging genomics provides novel insight into early mechanisms of cerebral small vessel disease. Mol Psychiatry 2024:10.1038/s41380-024-02604-7. [PMID: 38811690 DOI: 10.1038/s41380-024-02604-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/31/2023] [Revised: 05/06/2024] [Accepted: 05/09/2024] [Indexed: 05/31/2024]
Abstract
Cerebral small vessel disease (cSVD) is a leading cause of stroke and dementia. Genetic risk loci for white matter hyperintensities (WMH), the most common MRI-marker of cSVD in older age, were recently shown to be significantly associated with white matter (WM) microstructure on diffusion tensor imaging (signal-based) in young adults. To provide new insights into these early changes in WM microstructure and their relation with cSVD, we sought to explore the genetic underpinnings of cutting-edge tissue-based diffusion imaging markers across the adult lifespan. We conducted a genome-wide association study of neurite orientation dispersion and density imaging (NODDI) markers in young adults (i-Share study: N = 1 758, (mean[range]) 22.1[18-35] years), with follow-up in young middle-aged (Rhineland Study: N = 714, 35.2[30-40] years) and late middle-aged to older individuals (UK Biobank: N = 33 224, 64.3[45-82] years). We identified 21 loci associated with NODDI markers across brain regions in young adults. The most robust association, replicated in both follow-up cohorts, was with Neurite Density Index (NDI) at chr5q14.3, a known WMH locus in VCAN. Two additional loci were replicated in UK Biobank, at chr17q21.2 with NDI, and chr19q13.12 with Orientation Dispersion Index (ODI). Transcriptome-wide association studies showed associations of STAT3 expression in arterial and adipose tissue (chr17q21.2) with NDI, and of several genes at chr19q13.12 with ODI. Genetic susceptibility to larger WMH volume, but not to vascular risk factors, was significantly associated with decreased NDI in young adults, especially in regions known to harbor WMH in older age. Individually, seven of 25 known WMH risk loci were associated with NDI in young adults. In conclusion, we identified multiple novel genetic risk loci associated with NODDI markers, particularly NDI, in early adulthood. These point to possible early-life mechanisms underlying cSVD and to processes involving remyelination, neurodevelopment and neurodegeneration, with a potential for novel approaches to prevention.
Collapse
Affiliation(s)
- Quentin Le Grand
- University of Bordeaux, INSERM, Bordeaux Population Health research center, UMR1219, F-33000, Bordeaux, France
- Population Health Sciences, German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany
| | - Ami Tsuchida
- University of Bordeaux, INSERM, Bordeaux Population Health research center, UMR1219, F-33000, Bordeaux, France
- University of Bordeaux, Institute of Neurodegenerative Diseases, UMR5293, Neurofunctional Imaging Group, F-33000, Bordeaux, France
- CNRS, Institute of Neurodegenerative Diseases, UMR5293, Neurofunctional Imaging Group, F-33000, Bordeaux, France
- CEA, Institute of Neurodegenerative Diseases, UMR5293, Neurofunctional Imaging Group, F-33000, Bordeaux, France
| | - Alexandra Koch
- Population Health Sciences, German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany
| | - Mohammed-Aslam Imtiaz
- Population Health Sciences, German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany
| | - N Ahmad Aziz
- Population Health Sciences, German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany
- Department of Neurology, Faculty of Medicine, University of Bonn, Bonn, Germany
| | - Chloé Vigneron
- University of Bordeaux, INSERM, Bordeaux Population Health research center, UMR1219, F-33000, Bordeaux, France
| | - Laure Zago
- University of Bordeaux, Institute of Neurodegenerative Diseases, UMR5293, Neurofunctional Imaging Group, F-33000, Bordeaux, France
- CNRS, Institute of Neurodegenerative Diseases, UMR5293, Neurofunctional Imaging Group, F-33000, Bordeaux, France
- CEA, Institute of Neurodegenerative Diseases, UMR5293, Neurofunctional Imaging Group, F-33000, Bordeaux, France
| | - Mark Lathrop
- Department of Human Genetics, McGill University, Montreal, Quebec, Canada; Victor Phillip Dahdaleh Institute of Genomic Medicine at McGill University, Montreal, QC, H3A 0G1, Canada
| | - Alexandre Dubrac
- Centre de Recherche, CHU Sainte-Justine, Montréal, QC, Canada
- Département de Pathologie et Biologie Cellulaire, Université de Montréal, Montréal, QC, Canada
- Département d'Ophtalmologie, Université de Montréal, Montréal, QC, Canada
| | - Thierry Couffinhal
- University of Bordeaux, INSERM, Biologie des maladies cardiovasculaires, U1034, F-33600, Pessac, France
| | - Fabrice Crivello
- University of Bordeaux, Institute of Neurodegenerative Diseases, UMR5293, Neurofunctional Imaging Group, F-33000, Bordeaux, France
- CNRS, Institute of Neurodegenerative Diseases, UMR5293, Neurofunctional Imaging Group, F-33000, Bordeaux, France
- CEA, Institute of Neurodegenerative Diseases, UMR5293, Neurofunctional Imaging Group, F-33000, Bordeaux, France
| | - Paul M Matthews
- UK Dementia Research Institute and Department of Brain Sciences, Imperial College, London, UK
| | - Aniket Mishra
- University of Bordeaux, INSERM, Bordeaux Population Health research center, UMR1219, F-33000, Bordeaux, France
| | - Monique M B Breteler
- Population Health Sciences, German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany
- Institute for Medical Biometry, Informatics and Epidemiology (IMBIE), Faculty of Medicine, University of Bonn, Bonn, Germany
| | - Christophe Tzourio
- University of Bordeaux, INSERM, Bordeaux Population Health research center, UMR1219, F-33000, Bordeaux, France
- Bordeaux University Hospital, Department of Medical Informatics, F-33000, Bordeaux, France
| | - Stéphanie Debette
- University of Bordeaux, INSERM, Bordeaux Population Health research center, UMR1219, F-33000, Bordeaux, France.
- Bordeaux University Hospital, Department of Neurology, Institute for Neurodegenerative Diseases, F-33000, Bordeaux, France.
| |
Collapse
|
3
|
Fu Y, Zhou Y, Wang K, Li Z, Kong W. Extracellular Matrix Interactome in Modulating Vascular Homeostasis and Remodeling. Circ Res 2024; 134:931-949. [PMID: 38547250 DOI: 10.1161/circresaha.123.324055] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 04/02/2024]
Abstract
The ECM (extracellular matrix) is a major component of the vascular microenvironment that modulates vascular homeostasis. ECM proteins include collagens, elastin, noncollagen glycoproteins, and proteoglycans/glycosaminoglycans. ECM proteins form complex matrix structures, such as the basal lamina and collagen and elastin fibers, through direct interactions or lysyl oxidase-mediated cross-linking. Moreover, ECM proteins directly interact with cell surface receptors or extracellular secreted molecules, exerting matricellular and matricrine modulation, respectively. In addition, extracellular proteases degrade or cleave matrix proteins, thereby contributing to ECM turnover. These interactions constitute the ECM interactome network, which is essential for maintaining vascular homeostasis and preventing pathological vascular remodeling. The current review mainly focuses on endogenous matrix proteins in blood vessels and discusses the interaction of these matrix proteins with other ECM proteins, cell surface receptors, cytokines, complement and coagulation factors, and their potential roles in maintaining vascular homeostasis and preventing pathological remodeling.
Collapse
Affiliation(s)
- Yi Fu
- Department of Physiology and Pathophysiology (Y.F., K.W., Z.L., W.K.), School of Basic Medical Sciences, State Key Laboratory of Vascular Homeostasis and Remodeling, Peking University, Beijing, China
| | - Yuan Zhou
- Department of Biomedical Informatics (Y.Z.), School of Basic Medical Sciences, State Key Laboratory of Vascular Homeostasis and Remodeling, Peking University, Beijing, China
| | - Kai Wang
- Department of Physiology and Pathophysiology (Y.F., K.W., Z.L., W.K.), School of Basic Medical Sciences, State Key Laboratory of Vascular Homeostasis and Remodeling, Peking University, Beijing, China
| | - Zhuofan Li
- Department of Physiology and Pathophysiology (Y.F., K.W., Z.L., W.K.), School of Basic Medical Sciences, State Key Laboratory of Vascular Homeostasis and Remodeling, Peking University, Beijing, China
| | - Wei Kong
- Department of Physiology and Pathophysiology (Y.F., K.W., Z.L., W.K.), School of Basic Medical Sciences, State Key Laboratory of Vascular Homeostasis and Remodeling, Peking University, Beijing, China
| |
Collapse
|
4
|
Kapate N, Liao R, Sodemann RL, Stinson T, Prakash S, Kumbhojkar N, Suja VC, Wang LLW, Flanz M, Rajeev R, Villafuerte D, Shaha S, Janes M, Park KS, Dunne M, Golemb B, Hone A, Adebowale K, Clegg J, Slate A, McGuone D, Costine-Bartell B, Mitragotri S. Backpack-mediated anti-inflammatory macrophage cell therapy for the treatment of traumatic brain injury. PNAS NEXUS 2024; 3:pgad434. [PMID: 38187808 PMCID: PMC10768983 DOI: 10.1093/pnasnexus/pgad434] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/25/2023] [Accepted: 12/04/2023] [Indexed: 01/09/2024]
Abstract
Traumatic brain injury (TBI) is a debilitating disease with no current therapies outside of acute clinical management. While acute, controlled inflammation is important for debris clearance and regeneration after injury, chronic, rampant inflammation plays a significant adverse role in the pathophysiology of secondary brain injury. Immune cell therapies hold unique therapeutic potential for inflammation modulation, due to their active sensing and migration abilities. Macrophages are particularly suited for this task, given the role of macrophages and microglia in the dysregulated inflammatory response after TBI. However, maintaining adoptively transferred macrophages in an anti-inflammatory, wound-healing phenotype against the proinflammatory TBI milieu is essential. To achieve this, we developed discoidal microparticles, termed backpacks, encapsulating anti-inflammatory interleukin-4, and dexamethasone for ex vivo macrophage attachment. Backpacks durably adhered to the surface of macrophages without internalization and maintained an anti-inflammatory phenotype of the carrier macrophage through 7 days in vitro. Backpack-macrophage therapy was scaled up and safely infused into piglets in a cortical impact TBI model. Backpack-macrophages migrated to the brain lesion site and reduced proinflammatory activation of microglia in the lesion penumbra of the rostral gyrus of the cortex and decreased serum concentrations of proinflammatory biomarkers. These immunomodulatory effects elicited a 56% decrease in lesion volume. The results reported here demonstrate, to the best of our knowledge, a potential use of a cell therapy intervention for a large animal model of TBI and highlight the potential of macrophage-based therapy. Further investigation is required to elucidate the neuroprotection mechanisms associated with anti-inflammatory macrophage therapy.
Collapse
Affiliation(s)
- Neha Kapate
- School of Engineering and Applied Sciences, Harvard University, Boston, MA 02134, USA
- Wyss Institute for Biologically Inspired Engineering, Harvard University, Boston, MA 02134, USA
- Harvard-MIT Division of Health Sciences and Technology, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
| | - Rick Liao
- School of Engineering and Applied Sciences, Harvard University, Boston, MA 02134, USA
- Wyss Institute for Biologically Inspired Engineering, Harvard University, Boston, MA 02134, USA
| | - Ryan Luke Sodemann
- Department of Neurosurgery, Massachusetts General Hospital, Boston, MA 02114, USA
| | - Tawny Stinson
- Department of Neurosurgery, Massachusetts General Hospital, Boston, MA 02114, USA
| | - Supriya Prakash
- School of Engineering and Applied Sciences, Harvard University, Boston, MA 02134, USA
- Wyss Institute for Biologically Inspired Engineering, Harvard University, Boston, MA 02134, USA
| | - Ninad Kumbhojkar
- School of Engineering and Applied Sciences, Harvard University, Boston, MA 02134, USA
- Wyss Institute for Biologically Inspired Engineering, Harvard University, Boston, MA 02134, USA
| | - Vineeth Chandran Suja
- School of Engineering and Applied Sciences, Harvard University, Boston, MA 02134, USA
- Wyss Institute for Biologically Inspired Engineering, Harvard University, Boston, MA 02134, USA
| | - Lily Li-Wen Wang
- School of Engineering and Applied Sciences, Harvard University, Boston, MA 02134, USA
- Wyss Institute for Biologically Inspired Engineering, Harvard University, Boston, MA 02134, USA
- Harvard-MIT Division of Health Sciences and Technology, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
| | - Mikayla Flanz
- School of Engineering and Applied Sciences, Harvard University, Boston, MA 02134, USA
| | - Rohan Rajeev
- School of Engineering and Applied Sciences, Harvard University, Boston, MA 02134, USA
| | - Dania Villafuerte
- School of Engineering and Applied Sciences, Harvard University, Boston, MA 02134, USA
| | - Suyog Shaha
- School of Engineering and Applied Sciences, Harvard University, Boston, MA 02134, USA
- Wyss Institute for Biologically Inspired Engineering, Harvard University, Boston, MA 02134, USA
| | - Morgan Janes
- School of Engineering and Applied Sciences, Harvard University, Boston, MA 02134, USA
- Wyss Institute for Biologically Inspired Engineering, Harvard University, Boston, MA 02134, USA
- Harvard-MIT Division of Health Sciences and Technology, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
| | - Kyung Soo Park
- School of Engineering and Applied Sciences, Harvard University, Boston, MA 02134, USA
- Wyss Institute for Biologically Inspired Engineering, Harvard University, Boston, MA 02134, USA
| | - Michael Dunne
- School of Engineering and Applied Sciences, Harvard University, Boston, MA 02134, USA
- Wyss Institute for Biologically Inspired Engineering, Harvard University, Boston, MA 02134, USA
| | - Bryan Golemb
- Department of Neurosurgery, Massachusetts General Hospital, Boston, MA 02114, USA
| | - Alexander Hone
- Department of Neurosurgery, Massachusetts General Hospital, Boston, MA 02114, USA
| | - Kolade Adebowale
- School of Engineering and Applied Sciences, Harvard University, Boston, MA 02134, USA
- Wyss Institute for Biologically Inspired Engineering, Harvard University, Boston, MA 02134, USA
| | - John Clegg
- School of Engineering and Applied Sciences, Harvard University, Boston, MA 02134, USA
| | - Andrea Slate
- Center of Comparative Medicine, Massachusetts General Hospital, Boston, MA 02114, USA
| | - Declan McGuone
- Department of Pathology, Yale School of Medicine, New Haven, CT 06520, USA
| | - Beth Costine-Bartell
- Department of Neurosurgery, Massachusetts General Hospital, Boston, MA 02114, USA
- Department of Neurosurgery, Harvard Medical School, Boston, MA 02115, USA
| | - Samir Mitragotri
- School of Engineering and Applied Sciences, Harvard University, Boston, MA 02134, USA
- Wyss Institute for Biologically Inspired Engineering, Harvard University, Boston, MA 02134, USA
| |
Collapse
|
5
|
Al-Thani M, Goodwin-Trotman M, Bell S, Patel K, Fleming LK, Vilain C, Abramowicz M, Allan SM, Wang T, Cader MZ, Horsburgh K, Van Agtmael T, Sinha S, Markus HS, Granata A. A novel human iPSC model of COL4A1/A2 small vessel disease unveils a key pathogenic role of matrix metalloproteinases. Stem Cell Reports 2023; 18:2386-2399. [PMID: 37977146 PMCID: PMC10724071 DOI: 10.1016/j.stemcr.2023.10.014] [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: 02/17/2023] [Revised: 10/19/2023] [Accepted: 10/20/2023] [Indexed: 11/19/2023] Open
Abstract
Cerebral small vessel disease (SVD) affects the small vessels in the brain and is a leading cause of stroke and dementia. Emerging evidence supports a role of the extracellular matrix (ECM), at the interface between blood and brain, in the progression of SVD pathology, but this remains poorly characterized. To address ECM role in SVD, we developed a co-culture model of mural and endothelial cells using human induced pluripotent stem cells from patients with COL4A1/A2 SVD-related mutations. This model revealed that these mutations induce apoptosis, migration defects, ECM remodeling, and transcriptome changes in mural cells. Importantly, these mural cell defects exert a detrimental effect on endothelial cell tight junctions through paracrine actions. COL4A1/A2 models also express high levels of matrix metalloproteinases (MMPs), and inhibiting MMP activity partially rescues the ECM abnormalities and mural cell phenotypic changes. These data provide a basis for targeting MMP as a therapeutic opportunity in SVD.
Collapse
Affiliation(s)
- Maha Al-Thani
- Department of Clinical Neurosciences, Victor Phillip Dahdaleh Heart and Lung Research Institute, University of Cambridge and Royal Papworth Hospital, Cambridge, UK
| | - Mary Goodwin-Trotman
- Department of Clinical Neurosciences, Victor Phillip Dahdaleh Heart and Lung Research Institute, University of Cambridge and Royal Papworth Hospital, Cambridge, UK
| | - Steven Bell
- Department of Clinical Neurosciences, Victor Phillip Dahdaleh Heart and Lung Research Institute, University of Cambridge and Royal Papworth Hospital, Cambridge, UK
| | - Krushangi Patel
- Department of Clinical Neurosciences, Victor Phillip Dahdaleh Heart and Lung Research Institute, University of Cambridge and Royal Papworth Hospital, Cambridge, UK
| | - Lauren K Fleming
- School of Cardiovascular and Metabolic Health, University of Glasgow, Glasgow, UK
| | - Catheline Vilain
- Department of Genetics, Hôpital Erasme, ULB Center of Human Genetics, Universite Libre de Bruxelles, Bruxelles, Belgium
| | - Marc Abramowicz
- Department of Genetics, Hôpital Erasme, ULB Center of Human Genetics, Universite Libre de Bruxelles, Bruxelles, Belgium
| | - Stuart M Allan
- Division of Neuroscience, School of Biological Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, UK
| | - Tao Wang
- Geoffrey Jefferson Brain Research Centre, Manchester Academic Health Science Centre, Northern Care Alliance NHS Foundation Trust, The University of Manchester, Manchester, UK; Division of Evolution, Infection and Genomics, School of Biological Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, UK
| | - M Zameel Cader
- Nuffield Department of Clinical Neurosciences, Kavli Institute of Nanoscience Discovery, Dorothy Crowfoot Hodgkin Building, Sherrington Road, University of Oxford, Oxford, UK
| | - Karen Horsburgh
- Centre for Discovery Brain Sciences, University of Edinburgh, Edinburgh, UK
| | - Tom Van Agtmael
- School of Cardiovascular and Metabolic Health, University of Glasgow, Glasgow, UK
| | - Sanjay Sinha
- Wellcome-MRC Cambridge Stem Cell Institute, Jeffrey Cheah Biomedical Centre, University of Cambridge, Cambridge, UK
| | - Hugh S Markus
- Department of Neurology, Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK
| | - Alessandra Granata
- Department of Clinical Neurosciences, Victor Phillip Dahdaleh Heart and Lung Research Institute, University of Cambridge and Royal Papworth Hospital, Cambridge, UK.
| |
Collapse
|
6
|
Yuzhalin AE, Yu D. Critical functions of extracellular matrix in brain metastasis seeding. Cell Mol Life Sci 2023; 80:297. [PMID: 37728789 PMCID: PMC10511571 DOI: 10.1007/s00018-023-04944-z] [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] [Received: 05/06/2023] [Revised: 08/16/2023] [Accepted: 08/29/2023] [Indexed: 09/21/2023]
Abstract
Human brain is characterized by extremely sparse extracellular matrix (ECM). Despite its low abundance, the significance of brain ECM in both physiological and pathological conditions should not be underestimated. Brain metastasis is a serious complication of cancer, and recent findings highlighted the contribution of ECM in brain metastasis development. In this review, we provide a comprehensive outlook on how ECM proteins promote brain metastasis seeding. In particular, we discuss (1) disruption of the blood-brain barrier in brain metastasis; (2) role of ECM in modulating brain metastasis dormancy; (3) regulation of brain metastasis seeding by ECM-activated integrin signaling; (4) functions of brain-specific ECM protein reelin in brain metastasis. Lastly, we consider the possibility of targeting ECM for brain metastasis management.
Collapse
Affiliation(s)
- Arseniy E Yuzhalin
- Department of Molecular and Cellular Oncology, The University of Texas MD Anderson Cancer Center, 6565 MD Anderson Blvd, Unit 108, Houston, TX, 77030, USA
| | - Dihua Yu
- Department of Molecular and Cellular Oncology, The University of Texas MD Anderson Cancer Center, 6565 MD Anderson Blvd, Unit 108, Houston, TX, 77030, USA.
| |
Collapse
|
7
|
Downs M, Zaia J, Sethi MK. Mass spectrometry methods for analysis of extracellular matrix components in neurological diseases. MASS SPECTROMETRY REVIEWS 2023; 42:1848-1875. [PMID: 35719114 PMCID: PMC9763553 DOI: 10.1002/mas.21792] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/08/2022] [Revised: 04/12/2022] [Accepted: 05/24/2022] [Indexed: 06/15/2023]
Abstract
The brain extracellular matrix (ECM) is a highly glycosylated environment and plays important roles in many processes including cell communication, growth factor binding, and scaffolding. The formation of structures such as perineuronal nets (PNNs) is critical in neuroprotection and neural plasticity, and the formation of molecular networks is dependent in part on glycans. The ECM is also implicated in the neuropathophysiology of disorders such as Alzheimer's disease (AD), Parkinson's disease (PD), and Schizophrenia (SZ). As such, it is of interest to understand both the proteomic and glycomic makeup of healthy and diseased brain ECM. Further, there is a growing need for site-specific glycoproteomic information. Over the past decade, sample preparation, mass spectrometry, and bioinformatic methods have been developed and refined to provide comprehensive information about the glycoproteome. Core ECM molecules including versican, hyaluronan and proteoglycan link proteins, and tenascin are dysregulated in AD, PD, and SZ. Glycomic changes such as differential sialylation, sulfation, and branching are also associated with neurodegeneration. A more thorough understanding of the ECM and its proteomic, glycomic, and glycoproteomic changes in brain diseases may provide pathways to new therapeutic options.
Collapse
Affiliation(s)
- Margaret Downs
- Department of Biochemistry, Center for Biomedical Mass Spectrometry, Boston University, Boston, Massachusetts, USA
| | - Joseph Zaia
- Department of Biochemistry, Center for Biomedical Mass Spectrometry, Boston University, Boston, Massachusetts, USA
- Bioinformatics Program, Boston University, Boston, Massachusetts, USA
| | - Manveen K Sethi
- Department of Biochemistry, Center for Biomedical Mass Spectrometry, Boston University, Boston, Massachusetts, USA
| |
Collapse
|
8
|
Soles A, Selimovic A, Sbrocco K, Ghannoum F, Hamel K, Moncada EL, Gilliat S, Cvetanovic M. Extracellular Matrix Regulation in Physiology and in Brain Disease. Int J Mol Sci 2023; 24:7049. [PMID: 37108212 PMCID: PMC10138624 DOI: 10.3390/ijms24087049] [Citation(s) in RCA: 16] [Impact Index Per Article: 16.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2023] [Revised: 03/31/2023] [Accepted: 04/07/2023] [Indexed: 04/29/2023] Open
Abstract
The extracellular matrix (ECM) surrounds cells in the brain, providing structural and functional support. Emerging studies demonstrate that the ECM plays important roles during development, in the healthy adult brain, and in brain diseases. The aim of this review is to briefly discuss the physiological roles of the ECM and its contribution to the pathogenesis of brain disease, highlighting the gene expression changes, transcriptional factors involved, and a role for microglia in ECM regulation. Much of the research conducted thus far on disease states has focused on "omic" approaches that reveal differences in gene expression related to the ECM. Here, we review recent findings on alterations in the expression of ECM-associated genes in seizure, neuropathic pain, cerebellar ataxia, and age-related neurodegenerative disorders. Next, we discuss evidence implicating the transcription factor hypoxia-inducible factor 1 (HIF-1) in regulating the expression of ECM genes. HIF-1 is induced in response to hypoxia, and also targets genes involved in ECM remodeling, suggesting that hypoxia could contribute to ECM remodeling in disease conditions. We conclude by discussing the role microglia play in the regulation of the perineuronal nets (PNNs), a specialized form of ECM in the central nervous system. We show evidence that microglia can modulate PNNs in healthy and diseased brain states. Altogether, these findings suggest that ECM regulation is altered in brain disease, and highlight the role of HIF-1 and microglia in ECM remodeling.
Collapse
Affiliation(s)
- Alyssa Soles
- Department of Neuroscience, University of Minnesota, 321 Church St SE, Minneapolis, MN 55455, USA
| | - Adem Selimovic
- Department of Neuroscience, University of Minnesota, 321 Church St SE, Minneapolis, MN 55455, USA
| | - Kaelin Sbrocco
- Department of Neuroscience, University of Minnesota, 321 Church St SE, Minneapolis, MN 55455, USA
| | - Ferris Ghannoum
- Department of Neuroscience, University of Minnesota, 321 Church St SE, Minneapolis, MN 55455, USA
| | - Katherine Hamel
- Department of Neuroscience, University of Minnesota, 321 Church St SE, Minneapolis, MN 55455, USA
| | - Emmanuel Labrada Moncada
- Department of Neuroscience, University of Minnesota, 321 Church St SE, Minneapolis, MN 55455, USA
| | - Stephen Gilliat
- Department of Neuroscience, University of Minnesota, 321 Church St SE, Minneapolis, MN 55455, USA
| | - Marija Cvetanovic
- Department of Neuroscience, University of Minnesota, 321 Church St SE, Minneapolis, MN 55455, USA
- Institute for Translational Neuroscience, University of Minnesota, 2101 6th Street SE, Minneapolis, MN 55455, USA
| |
Collapse
|
9
|
Single-cell sequencing reveals that endothelial cells, EndMT cells and mural cells contribute to the pathogenesis of cavernous malformations. Exp Mol Med 2023; 55:628-642. [PMID: 36914857 PMCID: PMC10073145 DOI: 10.1038/s12276-023-00962-w] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/24/2022] [Revised: 12/13/2022] [Accepted: 01/01/2023] [Indexed: 03/14/2023] Open
Abstract
Cavernous malformations (CMs) invading the central nervous system occur in ~0.16-0.4% of the general population, often resulting in hemorrhages and focal neurological deficits. Further understanding of disease mechanisms and therapeutic strategies requires a deeper knowledge of CMs in humans. Herein, we performed single-cell RNA sequencing (scRNA-seq) analysis on unselected viable cells from twelve human CM samples and three control samples. A total of 112,670 high-quality cells were clustered into 11 major cell types, which shared a number of common features in CMs harboring different genetic mutations. A new EC subpopulation marked with PLVAP was uniquely identified in lesions. The cellular ligand‒receptor network revealed that the PLVAP-positive EC subcluster was the strongest contributor to the ANGPT and VEGF signaling pathways in all cell types. The PI3K/AKT/mTOR pathway was strongly activated in the PLVAP-positive subcluster even in non-PIK3CA mutation carriers. Moreover, endothelial-to-mesenchymal transition (EndMT) cells were identified for the first time in CMs at the single-cell level, which was accompanied by strong immune activation. The transcription factor SPI1 was predicted to be a novel key driver of EndMT, which was confirmed by in vitro and in vivo studies. A specific fibroblast-like phenotype was more prevalent in lesion smooth muscle cells, hinting at the role of vessel reconstructions and repairs in CMs, and we also confirmed that TWIST1 could induce SMC phenotypic switching in vitro and in vivo. Our results provide novel insights into the pathomechanism decryption and further precise therapy of CMs.
Collapse
|
10
|
McCabe MC, Saviola AJ, Hansen KC. Mass Spectrometry-Based Atlas of Extracellular Matrix Proteins across 25 Mouse Organs. J Proteome Res 2023; 22:790-801. [PMID: 36763087 DOI: 10.1021/acs.jproteome.2c00526] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/11/2023]
Abstract
The extracellular matrix (ECM) is a critical non-cellular component of multicellular organisms containing a variety of proteins, glycoproteins, and proteoglycans which have been implicated in a wide variety of essential biological processes, including development, wound healing, and aging. Due to low solubility, many ECM proteins have been underrepresented in previous proteomic datasets. Using an optimized three-step decellularization and ECM extraction method involving chaotrope extraction and digestion via hydroxylamine hydrochloride, we have generated coverage of the matrisome across 25 organs. We observe that the top 100 most abundant proteins from the ECM fractions of all tissues are generally present in all tissues, indicating that tissue matrices are principally composed of a shared set of ECM proteins. However, these proteins vary up to 4000-fold between tissues, resulting in highly unique matrix profiles even with the same primary set of proteins. A data reduction approach was used to reveal related networks of expressed ECM proteins across varying tissues, including basement membrane and collagen subtypes.
Collapse
Affiliation(s)
- Maxwell C McCabe
- Department of Biochemistry and Molecular Genetics, School of Medicine, University of Colorado, Aurora, Colorado 80045, United States
| | - Anthony J Saviola
- Department of Biochemistry and Molecular Genetics, School of Medicine, University of Colorado, Aurora, Colorado 80045, United States
| | - Kirk C Hansen
- Department of Biochemistry and Molecular Genetics, School of Medicine, University of Colorado, Aurora, Colorado 80045, United States
- Cancer Center Proteomics Core, School of Medicine, University of Colorado, Aurora, Colorado 80045, United States
| |
Collapse
|
11
|
Wang C, Zhao Q, Zheng X, Li S, Chen J, Zhao H, Chen F, Cui L, Li W. Decellularized brain extracellular matrix slice glioblastoma culture model recapitulates the interaction between cells and the extracellular matrix without a nutrient-oxygen gradient interference. Acta Biomater 2023; 158:132-150. [PMID: 36565784 DOI: 10.1016/j.actbio.2022.12.044] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2022] [Revised: 12/16/2022] [Accepted: 12/20/2022] [Indexed: 12/24/2022]
Abstract
Decellularized extracellular matrix (dECM) is a valuable tool for generating three-dimensional in vitro tumor models that effectively recapitulate tumor-extracellular matrix (ECM) interactions. However, in current culture models, the components and structures of dECM are enzymatically disrupted to form hydrogels, making it difficult to recapitulate the native ECM. Additionally, when studying ECM-cell interactions, large-volume tumor culture models are incompatible with traditional experimental techniques and the nutrient-oxygen concentration gradient, which is a significant confounding factor. To address these issues, we developed a decellularized brain extracellular matrix slice (dBECMS) glioblastoma (GBM) culture model. This model possesses good light transmittance and substance diffusivity, making it compatible with traditional experimental techniques without forming nutrient-oxygen concentration gradients. Through transcriptomic analysis, we found that native brain ECM has a broad impact on glioma cells; the impact involves the ECM-ECM receptor interactions and the ECM and metabolic reprogramming. Further experiments demonstrated that dBECMS promoted glucose consumption and lactate production in GBM cells. Silver staining experiments revealed abundant proteins in the media of dBECMS, suggesting the degradation of the brain ECM by GBM cells. Transcriptome analysis also showed that the dBECMS-GBM culture model more accurately recapitulated the transcriptional profile of GBM than the two-dimensional culture. We experimentally demonstrated that the dBECMS-GBM model enhanced the resistance of GBM cells to temozolomide and increased the stemness of GBM cells. Additionally, we demonstrated the feasibility of the dBECMS-GBM model as a platform for drug response modeling. STATEMENT OF SIGNIFICANCE: The decellularized brain extracellular matrix (ECM) slice glioblastoma culture model mimics the interaction between native brain ECM and glioblastoma when glioblastoma infiltrates the brain and reveals the effects of native brain ECM on glioblastoma metabolism, ECM reprogramming, drug responsiveness, and stemness.
Collapse
Affiliation(s)
- Can Wang
- Department of Neuro-oncology, Cancer Center, Beijing Tiantan Hospital, Capital Medical University, Beijing 100071, China
| | - Qiannan Zhao
- Evidence Based Medicine Center, Xuanwu Hospital of Capital Medical University, Xicheng District, Beijing 100053, China
| | - Xiaohong Zheng
- Department of Neuro-oncology, Cancer Center, Beijing Tiantan Hospital, Capital Medical University, Beijing 100071, China
| | - Shenglan Li
- Department of Neuro-oncology, Cancer Center, Beijing Tiantan Hospital, Capital Medical University, Beijing 100071, China
| | - Jinyi Chen
- Department of Neuro-oncology, Cancer Center, Beijing Tiantan Hospital, Capital Medical University, Beijing 100071, China
| | - Hanyun Zhao
- Department of Neuro-oncology, Cancer Center, Beijing Tiantan Hospital, Capital Medical University, Beijing 100071, China
| | - Feng Chen
- Department of Neuro-oncology, Cancer Center, Beijing Tiantan Hospital, Capital Medical University, Beijing 100071, China
| | - Lei Cui
- Department of Plastic Surgery, Beijing Shijitan Hospital, Capital Medical University, Beijing 100038, China; Key Laboratory of spine and spinal cord injury repair and regeneration, Ministry of Education of the People's Republic of China & Department of Orthopedics, Tongji Hospital, Tongji University School of Medicine, Shanghai 200062, China.
| | - Wenbin Li
- Department of Neuro-oncology, Cancer Center, Beijing Tiantan Hospital, Capital Medical University, Beijing 100071, China.
| |
Collapse
|
12
|
Martinez-Ramirez L, Slate A, Price G, Duhaime AC, Staley K, Costine-Bartell BA. Robust, long-term video EEG monitoring in a porcine model of post-traumatic epilepsy. eNeuro 2022; 9:ENEURO.0025-22.2022. [PMID: 35697513 PMCID: PMC9275145 DOI: 10.1523/eneuro.0025-22.2022] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2022] [Revised: 05/09/2022] [Accepted: 05/13/2022] [Indexed: 11/23/2022] Open
Abstract
To date, post-traumatic epilepsy (PTE) research in large animal models has been limited. Recent advances in neocortical microscopy have made possible new insights into neocortical PTE. However, it is very difficult to engender convincing neocortical PTE in rodents. Thus, large animal models that develop neocortical PTE may provide useful insights that also can be more comparable to human patients. Because gyrencephalic species have prolonged latent periods, long-term video EEG recording is required. Here, we report a fully subcutaneous EEG implant with synchronized video in freely ambulatory swine for up to 13 months during epileptogenesis following bilateral cortical impact injuries or sham surgery The advantages of this system include the availability of a commercially available system that is simple to install, a low failure rate after surgery for EEG implantation, radiotelemetry that enables continuous monitoring of freely ambulating animals, excellent synchronization to video to EEG, and a robust signal to noise ratio. The disadvantages of this system in this species and age are the accretion of skull bone which entirely embedded a subset of skull screws and EEG electrodes, and the inability to rearrange the EEG electrode array. These disadvantages may be overcome by splicing a subdural electrode strip to the electrode leads so that skull growth is less likely to interfere with long-term signal capture and by placing two implants for a more extensive montage. This commercially available system in this bilateral cortical impact swine model may be useful to a wide range of investigators studying epileptogenesis in PTE.SignificancePost-traumatic epilepsy (PTE) is a cause of significant morbidity after traumatic brain injury (TBI) and is often drug-resistant. Robust, informative animal models would greatly facilitate PTE research. Ideally, this biofidelic model of PTE would utilize a species that approximates human brain anatomy, brain size, glial populations, and inflammatory pathways. An ideal model would also incorporate feasible methods for long-term video EEG recording required to quantify seizure activity. Here, we describe the first model of PTE in swine and describe a method for robust long-term video EEG monitoring for up to 13 months post-TBI. The relatively easy "out-of-the-box" radiotelemetry system and surgical techniques described here will be adaptable by a wide array of investigators studying the pathogenesis and treatment of PTE.
Collapse
Affiliation(s)
- Luis Martinez-Ramirez
- Department of Neurosurgery, Massachusetts General Hospital, Boston, Massachusetts, United States of America
| | - Andrea Slate
- Center for Comparative Medicine, Massachusetts General Hospital, Boston, Massachusetts, United States of America
| | - George Price
- Department of Neurosurgery, Massachusetts General Hospital, Boston, Massachusetts, United States of America
| | - Ann-Christine Duhaime
- Department of Neurosurgery, Massachusetts General Hospital, Boston, Massachusetts, United States of America
- Department of Neurosurgery, Harvard Medical School, Boston, Massachusetts, United States of America
| | - Kevin Staley
- Department of Neurosurgery, Massachusetts General Hospital, Boston, Massachusetts, United States of America
- Department of Neurosurgery, Harvard Medical School, Boston, Massachusetts, United States of America
| | - Beth A Costine-Bartell
- Department of Neurosurgery, Massachusetts General Hospital, Boston, Massachusetts, United States of America
- Department of Neurosurgery, Harvard Medical School, Boston, Massachusetts, United States of America
| |
Collapse
|
13
|
Cader Z. Human Blood-Brain-Barrier In Vitro Models: Overview and Applications. Handb Exp Pharmacol 2022; 273:205-222. [PMID: 34935086 DOI: 10.1007/164_2021_562] [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: 06/14/2023]
Abstract
The human blood-brain-barrier (BBB) is a vital structure for brain health. Conversely it represents a challenge in drug development programmes that require breaching of the barrier in order to access the central nervous system. Very often brain disorders have early dysfunction of the BBB implicating an important role in pathogenesis and disease progression. The development of human in vitro models is a major advance to allow experimental studies and screening assays, although there remain outstanding questions for the field. In this chapter, the current state of the art will be reviewed, with the complementary innovative approaches to in vitro modelling described, from simple 2D-cultures to more complex multi-cell type micro-physiological systems.
Collapse
Affiliation(s)
- Zameel Cader
- Translational Molecular Neuroscience Group, University of Oxford, Oxford, UK.
| |
Collapse
|
14
|
Potjewyd G, Kellett K, Hooper N. 3D hydrogel models of the neurovascular unit to investigate blood-brain barrier dysfunction. Neuronal Signal 2021; 5:NS20210027. [PMID: 34804595 PMCID: PMC8579151 DOI: 10.1042/ns20210027] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2021] [Revised: 10/20/2021] [Accepted: 10/22/2021] [Indexed: 12/16/2022] Open
Abstract
The neurovascular unit (NVU), consisting of neurons, glial cells, vascular cells (endothelial cells, pericytes and vascular smooth muscle cells (VSMCs)) together with the surrounding extracellular matrix (ECM), is an important interface between the peripheral blood and the brain parenchyma. Disruption of the NVU impacts on blood-brain barrier (BBB) regulation and underlies the development and pathology of multiple neurological disorders, including stroke and Alzheimer's disease (AD). The ability to differentiate induced pluripotent stem cells (iPSCs) into the different cell types of the NVU and incorporate them into physical models provides a reverse engineering approach to generate human NVU models to study BBB function. To recapitulate the in vivo situation such NVU models must also incorporate the ECM to provide a 3D environment with appropriate mechanical and biochemical cues for the cells of the NVU. In this review, we provide an overview of the cells of the NVU and the surrounding ECM, before discussing the characteristics (stiffness, functionality and porosity) required of hydrogels to mimic the ECM when incorporated into in vitro NVU models. We summarise the approaches available to measure BBB functionality and present the techniques in use to develop robust and translatable models of the NVU, including transwell models, hydrogel models, 3D-bioprinting, microfluidic models and organoids. The incorporation of iPSCs either without or with disease-specific genetic mutations into these NVU models provides a platform in which to study normal and disease mechanisms, test BBB permeability to drugs, screen for new therapeutic targets and drugs or to design cell-based therapies.
Collapse
Affiliation(s)
- Geoffrey Potjewyd
- Division of Neuroscience and Experimental Psychology, School of Biological Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester M13 9PT, U.K
| | - Katherine A.B. Kellett
- Division of Neuroscience and Experimental Psychology, School of Biological Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester M13 9PT, U.K
| | - Nigel M. Hooper
- Division of Neuroscience and Experimental Psychology, School of Biological Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester M13 9PT, U.K
- Geoffrey Jefferson Brain Research Centre, Manchester Academic Health Science Centre, Northern Care Alliance and University of Manchester, Manchester, U.K
| |
Collapse
|