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Xie Y, Yang F, He L, Huang H, Chao M, Cao H, Hu Y, Fan Z, Zhai Y, Zhao W, Liu X, Zhao R, Xiao B, Shi X, Luo Y, Yin J, Feng D, Hugnot JP, Muhl L, Dimberg A, Betsholtz C, Zhang Y, Wang L, Zhang L. Single-cell dissection of the human blood-brain barrier and glioma blood-tumor barrier. Neuron 2024; 112:3089-3105.e7. [PMID: 39191260 DOI: 10.1016/j.neuron.2024.07.026] [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: 12/07/2023] [Revised: 05/01/2024] [Accepted: 07/30/2024] [Indexed: 08/29/2024]
Abstract
The blood-brain barrier (BBB) serves as a crucial vascular specialization, shielding and nourishing brain neurons and glia while impeding drug delivery. Here, we conducted single-cell mRNA sequencing of human cerebrovascular cells from 13 surgically resected glioma samples and adjacent normal brain tissue. The transcriptomes of 103,230 cells were mapped, including 57,324 endothelial cells (ECs) and 27,703 mural cells (MCs). Both EC and MC transcriptomes originating from lower-grade glioma were indistinguishable from those of normal brain tissue, whereas transcriptomes from glioblastoma (GBM) displayed a range of abnormalities. Among these, we identified LOXL2-dependent collagen modification as a common GBM-dependent trait and demonstrated that inhibiting LOXL2 enhanced chemotherapy efficacy in both murine and human patient-derived xenograft (PDX) GBM models. Our comprehensive single-cell RNA sequencing-based molecular atlas of the human BBB, coupled with insights into its perturbations in GBM, holds promise for guiding future investigations into brain health, pathology, and therapeutic strategies.
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Affiliation(s)
- Yuan Xie
- China-Sweden International Joint Research Center for Brain Diseases, Key Laboratory of Ministry of Education for Medicinal Plant Resource and Natural Pharmaceutical Chemistry, National Engineering Laboratory for Resource Developing of Endangered Chinese Crude Drugs in Northwest of China, College of Life Sciences, Shaanxi Normal University, Xi'an 710119, China; Jinfeng Laboratory, Chongqing 401329, China
| | - Fan Yang
- Department of Immunology, Genetics and Pathology, Science for Life Laboratory, Uppsala University, Rudbeck Laboratory, 75185 Uppsala, Sweden
| | - Liqun He
- Department of Immunology, Genetics and Pathology, Science for Life Laboratory, Uppsala University, Rudbeck Laboratory, 75185 Uppsala, Sweden
| | - Hua Huang
- Department of Immunology, Genetics and Pathology, Science for Life Laboratory, Uppsala University, Rudbeck Laboratory, 75185 Uppsala, Sweden
| | - Min Chao
- Department of Neurosurgery, Tangdu Hospital of the Fourth Military Medical University, 569 Xinsi Road, Xi'an 710038, China
| | - Haiyan Cao
- Department of Neurosurgery, Tangdu Hospital of the Fourth Military Medical University, 569 Xinsi Road, Xi'an 710038, China
| | - Yaqin Hu
- Department of Neurosurgery, Tangdu Hospital of the Fourth Military Medical University, 569 Xinsi Road, Xi'an 710038, China
| | - Zhicheng Fan
- Department of Neurosurgery, Tangdu Hospital of the Fourth Military Medical University, 569 Xinsi Road, Xi'an 710038, China
| | - Yaohong Zhai
- China-Sweden International Joint Research Center for Brain Diseases, Key Laboratory of Ministry of Education for Medicinal Plant Resource and Natural Pharmaceutical Chemistry, National Engineering Laboratory for Resource Developing of Endangered Chinese Crude Drugs in Northwest of China, College of Life Sciences, Shaanxi Normal University, Xi'an 710119, China
| | - Wenjian Zhao
- Department of Neurosurgery, Tangdu Hospital of the Fourth Military Medical University, 569 Xinsi Road, Xi'an 710038, China
| | - Xian Liu
- China-Sweden International Joint Research Center for Brain Diseases, Key Laboratory of Ministry of Education for Medicinal Plant Resource and Natural Pharmaceutical Chemistry, National Engineering Laboratory for Resource Developing of Endangered Chinese Crude Drugs in Northwest of China, College of Life Sciences, Shaanxi Normal University, Xi'an 710119, China
| | - Ruozhu Zhao
- China-Sweden International Joint Research Center for Brain Diseases, Key Laboratory of Ministry of Education for Medicinal Plant Resource and Natural Pharmaceutical Chemistry, National Engineering Laboratory for Resource Developing of Endangered Chinese Crude Drugs in Northwest of China, College of Life Sciences, Shaanxi Normal University, Xi'an 710119, China
| | - Bing Xiao
- China-Sweden International Joint Research Center for Brain Diseases, Key Laboratory of Ministry of Education for Medicinal Plant Resource and Natural Pharmaceutical Chemistry, National Engineering Laboratory for Resource Developing of Endangered Chinese Crude Drugs in Northwest of China, College of Life Sciences, Shaanxi Normal University, Xi'an 710119, China
| | - Xinxin Shi
- China-Sweden International Joint Research Center for Brain Diseases, Key Laboratory of Ministry of Education for Medicinal Plant Resource and Natural Pharmaceutical Chemistry, National Engineering Laboratory for Resource Developing of Endangered Chinese Crude Drugs in Northwest of China, College of Life Sciences, Shaanxi Normal University, Xi'an 710119, China
| | - Yuancheng Luo
- Department of Immunology and Inflammation, Faculty of Medicine, Imperial College London, The Commonwealth Building, Du Cane Road, W12 0NN London, UK
| | - Jinlong Yin
- Henan Key Laboratory of Brain Targeted Bio-nanomedicine, School of Life Sciences & School of Pharmacy, Henan University, Kaifeng, Henan, China
| | - Dayun Feng
- Department of Neurosurgery, Tangdu Hospital of the Fourth Military Medical University, 569 Xinsi Road, Xi'an 710038, China
| | - Jean-Philippe Hugnot
- Jinfeng Laboratory, Chongqing 401329, China; Institut de Génomique Fonctionnelle, Université de Montpellier, CNRS, INSERM, Montpellier, France
| | - Lars Muhl
- Department of Medicine Huddinge, Karolinska Institute, 14157 Huddinge, Sweden
| | - Anna Dimberg
- Department of Immunology, Genetics and Pathology, Science for Life Laboratory, Uppsala University, Rudbeck Laboratory, 75185 Uppsala, Sweden
| | - Christer Betsholtz
- Department of Immunology, Genetics and Pathology, Science for Life Laboratory, Uppsala University, Rudbeck Laboratory, 75185 Uppsala, Sweden; Department of Medicine Huddinge, Karolinska Institute, 14157 Huddinge, Sweden.
| | - Yanyu Zhang
- Department of Neurosurgery, Xijing Hospital, Fourth Military Medical University, Xi'an 710032, China.
| | - Liang Wang
- Department of Neurosurgery, Tangdu Hospital of the Fourth Military Medical University, 569 Xinsi Road, Xi'an 710038, China.
| | - Lei Zhang
- China-Sweden International Joint Research Center for Brain Diseases, Key Laboratory of Ministry of Education for Medicinal Plant Resource and Natural Pharmaceutical Chemistry, National Engineering Laboratory for Resource Developing of Endangered Chinese Crude Drugs in Northwest of China, College of Life Sciences, Shaanxi Normal University, Xi'an 710119, China; Jinfeng Laboratory, Chongqing 401329, China.
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2
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Zhang Z, Lin W, Gan Q, Lei M, Gong B, Zhang C, Henrique JS, Han J, Tian H, Tao Q, Potempa LA, Stein TD, Emili A, Qiu WQ. The influences of ApoE isoforms on endothelial adherens junctions and actin cytoskeleton responding to mCRP. Angiogenesis 2024:10.1007/s10456-024-09946-4. [PMID: 39276310 DOI: 10.1007/s10456-024-09946-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/19/2024] [Accepted: 08/23/2024] [Indexed: 09/16/2024]
Abstract
Apolipoprotein E4 (ApoE4) plays an important role responding to monomeric C-reactive protein (mCRP) via binding to CD31 leading to cerebrovascular damage and Alzheimer's disease (AD). Using phosphor-proteomic profiling, we found altered cytoskeleton proteins in the microvasculature of AD brains, including increased levels of hyperphosphorylated tau (pTau) and the actin-related protein, LIMA1. To address the hypothesis that cytoskeletal changes serve as early pathological signatures linked with CD31 in brain endothelia in ApoE4 carriers, ApoE4 knock-in mice intraperitoneal injected with mCRP revealed that mCRP increased the expressions of phosphorylated CD31 (pCD31) and LIMA1, and facilitate the binding of pCD31 to LIMA1. mCRP combined with recombinant APOE4 protein decreased interaction of CD31 and VE-Cadherin at adherens junctions (AJs), along with altered the expression of various actin cytoskeleton proteins, causing microvasculature damage. Notably, the APOE2 protein attenuated these changes. Overall, our study demonstrates that ApoE4 responds to mCRP to disrupt the endothelial AJs which link with the actin cytoskeleton and this pathway could play a key role in the barrier dysfunction leading to AD risk.
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Affiliation(s)
- Zhengrong Zhang
- Department of Pharmacology, Physiology and Biophysics, Boston University Chobanian & Avedisian School of Medicine, 72 East Concord Street, Boston, MA02118, USA
| | - Weiwei Lin
- Department of Biochemistry, Boston University Chobanian & Avedisian School of Medicine, 72 East Concord Street, Boston, MA02118, USA
| | - Qini Gan
- Department of Pharmacology, Physiology and Biophysics, Boston University Chobanian & Avedisian School of Medicine, 72 East Concord Street, Boston, MA02118, USA
| | - Maohua Lei
- Department of Pharmacology, Physiology and Biophysics, Boston University Chobanian & Avedisian School of Medicine, 72 East Concord Street, Boston, MA02118, USA
| | - Bin Gong
- Department of Pathology, University of Texas Medical Branch, Galveston, TX, 77555, USA
| | - Chao Zhang
- Section of Computational Biomedicine, Department of Medicine, Boston University Chobanian & Avedisian School of Medicine, 72 East Concord Street, Boston, MA02118, USA
| | - Jessica Salles Henrique
- Department of Pharmacology, Physiology and Biophysics, Boston University Chobanian & Avedisian School of Medicine, 72 East Concord Street, Boston, MA02118, USA
| | - Jingyan Han
- Section of Vascular Biology, Department of Medicine, Boston University Chobanian & Avedisian School of Medicine, 72 East Concord Street, Boston, MA02118, USA
| | - Hua Tian
- Department of Pharmacology, Xiaman Medical College, Xiaman, China
| | - Qiushan Tao
- Department of Pharmacology, Physiology and Biophysics, Boston University Chobanian & Avedisian School of Medicine, 72 East Concord Street, Boston, MA02118, USA
| | | | - Thor D Stein
- Department of Pathology and Laboratory Medicine, Boston University Chobanian & Avedisian School of Medicine, 72 East Concord Street, Boston, MA02118, USA.
- Alzheimer's Disease Research Center, Boston University Chobanian & Avedisian School of Medicine, 72 East Concord Street, Boston, MA02118, USA.
- VA Boston Healthcare System, Boston, MA02130, USA.
- VA Bedford Healthcare System, Bedford, MA01730, USA.
| | - Andrew Emili
- Department of Biochemistry, Boston University Chobanian & Avedisian School of Medicine, 72 East Concord Street, Boston, MA02118, USA.
| | - Wei Qiao Qiu
- Department of Pharmacology, Physiology and Biophysics, Boston University Chobanian & Avedisian School of Medicine, 72 East Concord Street, Boston, MA02118, USA.
- Alzheimer's Disease Research Center, Boston University Chobanian & Avedisian School of Medicine, 72 East Concord Street, Boston, MA02118, USA.
- Department of Psychiatry, Boston University Chobanian & Avedisian School of Medicine, 72 East Concord Street, Boston, MA02118, USA.
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3
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Cao X, Li X, Li M, Sun J, Gao Z, Li X, Li Q, Shao Z, Fan C, Sun J. Light-Sheet Microscopic Imaging of Whole-Mouse Vascular Network with Fluorescent Microsphere Perfusion. ACS Biomater Sci Eng 2024; 10:5609-5616. [PMID: 38775700 DOI: 10.1021/acsbiomaterials.4c00546] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/10/2024]
Abstract
Visualizing the whole vascular network system is crucial for understanding the pathogenesis of specific diseases and devising targeted therapeutic interventions. Although the combination of light sheet microscopy and tissue-clearing methods has emerged as a promising approach for investigating the blood vascular network, leveraging the spatial resolution down to the capillary level and the ability to image centimeter-scale samples remains difficult. Especially, as the resolution improves, the issue of photobleaching outside the field of view poses a challenge to image the whole vascular network of adult mice at capillary resolution. Here, we devise a fluorescent microsphere vascular perfusion method to enable labeling of the whole vascular network in adult mice, which overcomes the photobleaching limit during the imaging of large samples. Moreover, by combining the utilization of a large-scale light-sheet microscope and tissue clearing protocols for whole-mouse samples, we achieve the capillary-level imaging resolution (3.2 × 3.2 × 6.5 μm) of the whole vascular network with dimensions of 45 × 15 × 82 mm in adult mice. This method thus holds great potential to deliver mesoscopic resolution images of various tissue organs for whole-animal imaging.
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Affiliation(s)
- Xiaojie Cao
- School of Biomedical Engineering, School of Chemistry and Chemical Engineering, National Center for Translational Medicine, Shanghai Jiao Tong University, 200240 Shanghai, China
| | - Xiaoyan Li
- School of Biomedical Engineering, School of Chemistry and Chemical Engineering, National Center for Translational Medicine, Shanghai Jiao Tong University, 200240 Shanghai, China
| | - Min Li
- School of Biomedical Engineering, School of Chemistry and Chemical Engineering, National Center for Translational Medicine, Shanghai Jiao Tong University, 200240 Shanghai, China
| | - Jiawei Sun
- School of Biomedical Engineering, School of Chemistry and Chemical Engineering, National Center for Translational Medicine, Shanghai Jiao Tong University, 200240 Shanghai, China
| | - Zhaoshuai Gao
- School of Biomedical Engineering, School of Chemistry and Chemical Engineering, National Center for Translational Medicine, Shanghai Jiao Tong University, 200240 Shanghai, China
| | - Xiaowei Li
- School of Biomedical Engineering, School of Chemistry and Chemical Engineering, National Center for Translational Medicine, Shanghai Jiao Tong University, 200240 Shanghai, China
| | - Qian Li
- School of Biomedical Engineering, School of Chemistry and Chemical Engineering, National Center for Translational Medicine, Shanghai Jiao Tong University, 200240 Shanghai, China
| | - Zhifeng Shao
- School of Biomedical Engineering, School of Chemistry and Chemical Engineering, National Center for Translational Medicine, Shanghai Jiao Tong University, 200240 Shanghai, China
| | - Chunhai Fan
- School of Biomedical Engineering, School of Chemistry and Chemical Engineering, National Center for Translational Medicine, Shanghai Jiao Tong University, 200240 Shanghai, China
| | - Jielin Sun
- School of Biomedical Engineering, School of Chemistry and Chemical Engineering, National Center for Translational Medicine, Shanghai Jiao Tong University, 200240 Shanghai, China
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4
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Shay TF, Jang S, Brittain TJ, Chen X, Walker B, Tebbutt C, Fan Y, Wolfe DA, Arokiaraj CM, Sullivan EE, Ding X, Wang TY, Lei Y, Chuapoco MR, Chou TF, Gradinaru V. Human cell surface-AAV interactomes identify LRP6 as blood-brain barrier transcytosis receptor and immune cytokine IL3 as AAV9 binder. Nat Commun 2024; 15:7853. [PMID: 39245720 PMCID: PMC11381518 DOI: 10.1038/s41467-024-52149-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/06/2024] [Accepted: 08/27/2024] [Indexed: 09/10/2024] Open
Abstract
Adeno-associated viruses (AAVs) are foundational gene delivery tools for basic science and clinical therapeutics. However, lack of mechanistic insight, especially for engineered vectors created by directed evolution, can hamper their application. Here, we adapt an unbiased human cell microarray platform to determine the extracellular and cell surface interactomes of natural and engineered AAVs. We identify a naturally-evolved and serotype-specific interaction between the AAV9 capsid and human interleukin 3 (IL3), with possible roles in host immune modulation, as well as lab-evolved low-density lipoprotein receptor-related protein 6 (LRP6) interactions specific to engineered capsids with enhanced blood-brain barrier crossing in non-human primates after intravenous administration. The unbiased cell microarray screening approach also allows us to identify off-target tissue binding interactions of engineered brain-enriched AAV capsids that may inform vectors' peripheral organ tropism and side effects. Our cryo-electron tomography and AlphaFold modeling of capsid-interactor complexes reveal LRP6 and IL3 binding sites. These results allow confident application of engineered AAVs in diverse organisms and unlock future target-informed engineering of improved viral and non-viral vectors for non-invasive therapeutic delivery to the brain.
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Affiliation(s)
- Timothy F Shay
- Division of Biology & Biological Engineering, California Institute of Technology, Pasadena, CA, 91125, USA.
| | - Seongmin Jang
- Division of Biology & Biological Engineering, California Institute of Technology, Pasadena, CA, 91125, USA
| | - Tyler J Brittain
- Division of Biology & Biological Engineering, California Institute of Technology, Pasadena, CA, 91125, USA
| | - Xinhong Chen
- Division of Biology & Biological Engineering, California Institute of Technology, Pasadena, CA, 91125, USA
| | - Beth Walker
- Charles River Laboratories, High Peak Business Park, Buxton Road, Chinley, SK23 6FJ, UK
| | - Claire Tebbutt
- Charles River Laboratories, High Peak Business Park, Buxton Road, Chinley, SK23 6FJ, UK
| | - Yujie Fan
- Division of Biology & Biological Engineering, California Institute of Technology, Pasadena, CA, 91125, USA
| | - Damien A Wolfe
- Division of Biology & Biological Engineering, California Institute of Technology, Pasadena, CA, 91125, USA
| | - Cynthia M Arokiaraj
- Division of Biology & Biological Engineering, California Institute of Technology, Pasadena, CA, 91125, USA
| | - Erin E Sullivan
- Division of Biology & Biological Engineering, California Institute of Technology, Pasadena, CA, 91125, USA
| | - Xiaozhe Ding
- Division of Biology & Biological Engineering, California Institute of Technology, Pasadena, CA, 91125, USA
| | - Ting-Yu Wang
- Division of Biology & Biological Engineering, California Institute of Technology, Pasadena, CA, 91125, USA
| | - Yaping Lei
- Division of Biology & Biological Engineering, California Institute of Technology, Pasadena, CA, 91125, USA
| | - Miguel R Chuapoco
- Division of Biology & Biological Engineering, California Institute of Technology, Pasadena, CA, 91125, USA
| | - Tsui-Fen Chou
- Division of Biology & Biological Engineering, California Institute of Technology, Pasadena, CA, 91125, USA
| | - Viviana Gradinaru
- Division of Biology & Biological Engineering, California Institute of Technology, Pasadena, CA, 91125, USA.
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5
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Wang S, Xu B, Liang J, Feng Y, Han P, Shen J, Li X, Zheng M, Zhang T, Zhang C, Mi P, Zhang Y, Liu Z, Li S, Yuan D. Spatial Transcriptomic Study Reveals Heterogeneous Metabolic Adaptation and a Role of Pericentral PPARα/CAR/Ces2a Axis During Fasting in Mouse Liver. ADVANCED SCIENCE (WEINHEIM, BADEN-WURTTEMBERG, GERMANY) 2024:e2405240. [PMID: 39234807 DOI: 10.1002/advs.202405240] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/14/2024] [Revised: 08/13/2024] [Indexed: 09/06/2024]
Abstract
Spatial heterogeneity and plasticity of the mammalian liver are critical for systemic metabolic homeostasis in response to fluctuating nutritional conditions. Here, a spatially resolved transcriptomic landscape of mouse livers across fed, fasted and refed states using spatial transcriptomics is generated. This approach elucidated dynamic temporal-spatial gene cascades and how liver zonation-both expression levels and patterns-adapts to shifts in nutritional status. Importantly, the pericentral nuclear receptor Nr1i3 (CAR) as a pivotal regulator of triglyceride metabolism is pinpointed. It is showed that the activation of CAR in the pericentral region is transcriptionally governed by Pparα. During fasting, CAR activation enhances lipolysis by upregulating carboxylesterase 2a, playing a crucial role in maintaining triglyceride homeostasis. These findings lay the foundation for future mechanistic studies of liver metabolic heterogeneity and plasticity in response to nutritional status changes, offering insights into the zonated pathology that emerge during liver disease progression linked to nutritional imbalances.
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Affiliation(s)
- Shiguan Wang
- Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Cheeloo College of Medicine, Shandong University, Jinan, 250012, China
- Department of Clinical Laboratory, Qilu Hospital of Shandong University, Jinan, 250012, China
| | - Bowen Xu
- Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Cheeloo College of Medicine, Shandong University, Jinan, 250012, China
- Advanced Medical Research Institute, Shandong University, Jinan, 250012, China
| | - Jinyuan Liang
- Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Cheeloo College of Medicine, Shandong University, Jinan, 250012, China
| | - Yawei Feng
- Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Cheeloo College of Medicine, Shandong University, Jinan, 250012, China
| | - Penghu Han
- Advanced Medical Research Institute, Shandong University, Jinan, 250012, China
| | - Jing Shen
- Advanced Medical Research Institute, Shandong University, Jinan, 250012, China
| | - Xinying Li
- Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Cheeloo College of Medicine, Shandong University, Jinan, 250012, China
| | - Mengqi Zheng
- Advanced Medical Research Institute, Shandong University, Jinan, 250012, China
| | - Tingguo Zhang
- Institute of Pathology and Pathophysiology, School of Basic Medical Sciences, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, 250012, China
| | - Cuijuan Zhang
- Institute of Pathology and Pathophysiology, School of Basic Medical Sciences, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, 250012, China
| | - Ping Mi
- Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Cheeloo College of Medicine, Shandong University, Jinan, 250012, China
| | - Yi Zhang
- Department of Clinical Laboratory, Qilu Hospital of Shandong University, Jinan, 250012, China
| | - Zhiping Liu
- Department of Biomedical Engineering, School of Control Science and Engineering, Shandong University, Jinan, Shandong, 250061, China
| | - Shiyang Li
- Advanced Medical Research Institute, Shandong University, Jinan, 250012, China
| | - Detian Yuan
- Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Cheeloo College of Medicine, Shandong University, Jinan, 250012, China
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6
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Chen F, Zhao J, Meng F, He F, Ni J, Fu Y. The vascular contribution of apolipoprotein E to Alzheimer's disease. Brain 2024; 147:2946-2965. [PMID: 38748848 DOI: 10.1093/brain/awae156] [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: 12/24/2023] [Revised: 03/23/2024] [Accepted: 04/21/2024] [Indexed: 09/04/2024] Open
Abstract
Alzheimer's disease, the most prevalent form of dementia, imposes a substantial societal burden. The persistent inadequacy of disease-modifying drugs targeting amyloid plaques and neurofibrillary tangles suggests the contribution of alternative pathogenic mechanisms. A frequently overlooked aspect is cerebrovascular dysfunction, which may manifest early in the progression of Alzheimer's disease pathology. Mounting evidence underscores the pivotal role of the apolipoprotein E gene, particularly the apolipoprotein ε4 allele as the strongest genetic risk factor for late-onset Alzheimer's disease, in the cerebrovascular pathology associated with Alzheimer's disease. In this review, we examine the evidence elucidating the cerebrovascular impact of both central and peripheral apolipoprotein E on the pathogenesis of Alzheimer's disease. We present a novel three-hit hypothesis, outlining potential mechanisms that shed light on the intricate relationship among different pathogenic events. Finally, we discuss prospective therapeutics targeting the cerebrovascular pathology associated with apolipoprotein E and explore their implications for future research endeavours.
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Affiliation(s)
- Feng Chen
- Department of Neurology, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310003, China
| | - Jing Zhao
- Jiangsu Key Laboratory of Neuropsychiatric Diseases and Institute of Neuroscience, Soochow University, Suzhou 215123, China
| | - Fanxia Meng
- Department of Neurology, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310003, China
| | - Fangping He
- Department of Neurology, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310003, China
| | - Jie Ni
- Department of Neurology, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310003, China
| | - Yuan Fu
- Department of Neurology, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310003, China
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7
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Green GS, Fujita M, Yang HS, Taga M, Cain A, McCabe C, Comandante-Lou N, White CC, Schmidtner AK, Zeng L, Sigalov A, Wang Y, Regev A, Klein HU, Menon V, Bennett DA, Habib N, De Jager PL. Cellular communities reveal trajectories of brain ageing and Alzheimer's disease. Nature 2024; 633:634-645. [PMID: 39198642 DOI: 10.1038/s41586-024-07871-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2023] [Accepted: 07/24/2024] [Indexed: 09/01/2024]
Abstract
Alzheimer's disease (AD) has recently been associated with diverse cell states1-11, yet when and how these states affect the onset of AD remains unclear. Here we used a data-driven approach to reconstruct the dynamics of the brain's cellular environment and identified a trajectory leading to AD that is distinct from other ageing-related effects. First, we built a comprehensive cell atlas of the aged prefrontal cortex from 1.65 million single-nucleus RNA-sequencing profiles sampled from 437 older individuals, and identified specific glial and neuronal subpopulations associated with AD-related traits. Causal modelling then prioritized two distinct lipid-associated microglial subpopulations-one drives amyloid-β proteinopathy while the other mediates the effect of amyloid-β on tau proteinopathy-as well as an astrocyte subpopulation that mediates the effect of tau on cognitive decline. To model the dynamics of cellular environments, we devised the BEYOND methodology, which identified two distinct trajectories of brain ageing, each defined by coordinated progressive changes in certain cellular communities that lead to (1) AD dementia or (2) alternative brain ageing. Thus, we provide a cellular foundation for a new perspective on AD pathophysiology that informs personalized therapeutic development, targeting different cellular communities for individuals on the path to AD or to alternative brain ageing.
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Affiliation(s)
- Gilad Sahar Green
- Edmond & Lily Safra Center for Brain Sciences, The Hebrew University of Jerusalem, Jerusalem, Israel
| | - Masashi Fujita
- Center for Translational & Computational Neuroimmunology, Department of Neurology and Taub Institute for Research on Alzheimer's Disease and the Aging Brain, Columbia University Irving Medical Center, New York, NY, USA
| | - Hyun-Sik Yang
- Harvard Medical School, Boston, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Center for Alzheimer Research and Treatment, Department of Neurology, Brigham and Women's Hospital, Boston, MA, USA
| | - Mariko Taga
- Center for Translational & Computational Neuroimmunology, Department of Neurology and Taub Institute for Research on Alzheimer's Disease and the Aging Brain, Columbia University Irving Medical Center, New York, NY, USA
| | - Anael Cain
- Edmond & Lily Safra Center for Brain Sciences, The Hebrew University of Jerusalem, Jerusalem, Israel
| | - Cristin McCabe
- Klarman Cell Observatory, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Natacha Comandante-Lou
- Center for Translational & Computational Neuroimmunology, Department of Neurology and Taub Institute for Research on Alzheimer's Disease and the Aging Brain, Columbia University Irving Medical Center, New York, NY, USA
| | | | - Anna K Schmidtner
- Edmond & Lily Safra Center for Brain Sciences, The Hebrew University of Jerusalem, Jerusalem, Israel
| | - Lu Zeng
- Center for Translational & Computational Neuroimmunology, Department of Neurology and Taub Institute for Research on Alzheimer's Disease and the Aging Brain, Columbia University Irving Medical Center, New York, NY, USA
| | - Alina Sigalov
- Center for Translational & Computational Neuroimmunology, Department of Neurology and Taub Institute for Research on Alzheimer's Disease and the Aging Brain, Columbia University Irving Medical Center, New York, NY, USA
| | - Yangling Wang
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL, USA
| | - Aviv Regev
- Klarman Cell Observatory, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Department of Biology, Koch Institute of Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA, USA
- Genentech, San Francisco, CA, USA
| | - Hans-Ulrich Klein
- Center for Translational & Computational Neuroimmunology, Department of Neurology and Taub Institute for Research on Alzheimer's Disease and the Aging Brain, Columbia University Irving Medical Center, New York, NY, USA
| | - Vilas Menon
- Center for Translational & Computational Neuroimmunology, Department of Neurology and Taub Institute for Research on Alzheimer's Disease and the Aging Brain, Columbia University Irving Medical Center, New York, NY, USA.
| | - David A Bennett
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL, USA
| | - Naomi Habib
- Edmond & Lily Safra Center for Brain Sciences, The Hebrew University of Jerusalem, Jerusalem, Israel.
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL, USA.
| | - Philip L De Jager
- Center for Translational & Computational Neuroimmunology, Department of Neurology and Taub Institute for Research on Alzheimer's Disease and the Aging Brain, Columbia University Irving Medical Center, New York, NY, USA.
- Broad Institute of MIT and Harvard, Cambridge, MA, USA.
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8
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Matsuo K, Nshihara H. Rebuilding insight into the pathophysiology of Alzheimer's disease through new blood-brain barrier models. Neural Regen Res 2024; 19:1954-1960. [PMID: 38227521 DOI: 10.4103/1673-5374.390978] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2023] [Accepted: 11/01/2023] [Indexed: 01/17/2024] Open
Abstract
The blood-brain barrier is a unique function of the microvasculature in the brain parenchyma that maintains homeostasis in the central nervous system. Blood-brain barrier breakdown is a common pathology in various neurological diseases, such as Alzheimer's disease, stroke, multiple sclerosis, and Parkinson's disease. Traditionally, it has been considered a consequence of neuroinflammation or neurodegeneration, but recent advanced imaging techniques and detailed studies in animal models show that blood-brain barrier breakdown occurs early in the disease process and may precede neuronal loss. Thus, the blood-brain barrier is attractive as a potential therapeutic target for neurological diseases that lack effective therapeutics. To elucidate the molecular mechanism underlying blood-brain barrier breakdown and translate them into therapeutic strategies for neurological diseases, there is a growing demand for experimental models of human origin that allow for functional assessments. Recently, several human induced pluripotent stem cell-derived blood-brain barrier models have been established and various in vitro blood-brain barrier models using microdevices have been proposed. Especially in the Alzheimer's disease field, the human evidence for blood-brain barrier dysfunction has been demonstrated and human induced pluripotent stem cell-derived blood-brain barrier models have suggested the putative molecular mechanisms of pathological blood-brain barrier. In this review, we summarize recent evidence of blood-brain barrier dysfunction in Alzheimer's disease from pathological analyses, imaging studies, animal models, and stem cell sources. Additionally, we discuss the potential future directions for blood-brain barrier research.
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Affiliation(s)
- Kinya Matsuo
- Yamaguchi University Graduate School of Medicine, Yamaguchi, Japan
| | - Hideaki Nshihara
- Department of Neurotherapeutics, Yamaguchi University, Ube, Japan
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9
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Weber RZ, Buil BA, Rentsch NH, Bosworth A, Zhang M, Kisler K, Tackenberg C, Zlokovic BV, Rust R. A molecular brain atlas reveals cellular shifts during the repair phase of stroke. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.08.21.608971. [PMID: 39229128 PMCID: PMC11370539 DOI: 10.1101/2024.08.21.608971] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Indexed: 09/05/2024]
Abstract
Ischemic stroke triggers a cascade of pathological events that affect multiple cell types and often lead to incomplete functional recovery. Despite advances in single-cell technologies, the molecular and cellular responses that contribute to long-term post-stroke impairment remain poorly understood. To gain better insight into the underlying mechanisms, we generated a single-cell transcriptomic atlas from distinct brain regions using a mouse model of permanent focal ischemia at one month post-injury. Our findings reveal cell- and region-specific changes within the stroke-injured and peri-infarct brain tissue. For instance, GABAergic and glutamatergic neurons exhibited upregulated genes in signaling pathways involved in axon guidance and synaptic plasticity, and downregulated pathways associated with aerobic metabolism. Using cell-cell communication analysis, we identified increased strength in predicted interactions within stroke tissue among both neural and non-neural cells via signaling pathways such as those involving collagen, protein tyrosine phosphatase receptor, neuronal growth regulator, laminin, and several cell adhesion molecules. Furthermore, we found a strong correlation between mouse transcriptome responses after stroke and those observed in human nonfatal brain stroke lesions. Common molecular features were linked to inflammatory responses, extracellular matrix organization, and angiogenesis. Our findings provide a detailed resource for advancing our molecular understanding of stroke pathology and for discovering therapeutic targets in the repair phase of stroke recovery.
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Affiliation(s)
- Rebecca Z Weber
- Institute for Regenerative Medicine, University of Zurich, Schlieren, Switzerland
- Neuroscience Center Zurich, ETH Zurich and University of Zurich, Zurich, Switzerland
| | - Beatriz Achón Buil
- Institute for Regenerative Medicine, University of Zurich, Schlieren, Switzerland
- Neuroscience Center Zurich, ETH Zurich and University of Zurich, Zurich, Switzerland
| | - Nora H Rentsch
- Institute for Regenerative Medicine, University of Zurich, Schlieren, Switzerland
- Neuroscience Center Zurich, ETH Zurich and University of Zurich, Zurich, Switzerland
| | - Allison Bosworth
- Department of Physiology and Neuroscience, University of Southern California, Los Angeles, USA
- Zilkha Neurogenetic Institute, Keck School of Medicine, University of Southern California, Los Angeles, USA
| | - Mingzi Zhang
- Department of Physiology and Neuroscience, University of Southern California, Los Angeles, USA
- Zilkha Neurogenetic Institute, Keck School of Medicine, University of Southern California, Los Angeles, USA
| | - Kassandra Kisler
- Department of Physiology and Neuroscience, University of Southern California, Los Angeles, USA
- Zilkha Neurogenetic Institute, Keck School of Medicine, University of Southern California, Los Angeles, USA
| | - Christian Tackenberg
- Institute for Regenerative Medicine, University of Zurich, Schlieren, Switzerland
- Neuroscience Center Zurich, ETH Zurich and University of Zurich, Zurich, Switzerland
| | - Berislav V Zlokovic
- Department of Physiology and Neuroscience, University of Southern California, Los Angeles, USA
- Zilkha Neurogenetic Institute, Keck School of Medicine, University of Southern California, Los Angeles, USA
| | - Ruslan Rust
- Institute for Regenerative Medicine, University of Zurich, Schlieren, Switzerland
- Neuroscience Center Zurich, ETH Zurich and University of Zurich, Zurich, Switzerland
- Department of Physiology and Neuroscience, University of Southern California, Los Angeles, USA
- Zilkha Neurogenetic Institute, Keck School of Medicine, University of Southern California, Los Angeles, USA
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10
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Paryani F, Kwon JS, Ng CW, Jakubiak K, Madden N, Ofori K, Tang A, Lu H, Xia S, Li J, Mahajan A, Davidson SM, Basile AO, McHugh C, Vonsattel JP, Hickman R, Zody MC, Housman DE, Goldman JE, Yoo AS, Menon V, Al-Dalahmah O. Multi-omic analysis of Huntington's disease reveals a compensatory astrocyte state. Nat Commun 2024; 15:6742. [PMID: 39112488 PMCID: PMC11306246 DOI: 10.1038/s41467-024-50626-0] [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: 09/17/2023] [Accepted: 07/09/2024] [Indexed: 08/10/2024] Open
Abstract
The mechanisms underlying the selective regional vulnerability to neurodegeneration in Huntington's disease (HD) have not been fully defined. To explore the role of astrocytes in this phenomenon, we used single-nucleus and bulk RNAseq, lipidomics, HTT gene CAG repeat-length measurements, and multiplexed immunofluorescence on HD and control post-mortem brains. We identified genes that correlated with CAG repeat length, which were enriched in astrocyte genes, and lipidomic signatures that implicated poly-unsaturated fatty acids in sensitizing neurons to cell death. Because astrocytes play essential roles in lipid metabolism, we explored the heterogeneity of astrocytic states in both protoplasmic and fibrous-like (CD44+) astrocytes. Significantly, one protoplasmic astrocyte state showed high levels of metallothioneins and was correlated with the selective vulnerability of distinct striatal neuronal populations. When modeled in vitro, this state improved the viability of HD-patient-derived spiny projection neurons. Our findings uncover key roles of astrocytic states in protecting against neurodegeneration in HD.
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Affiliation(s)
- Fahad Paryani
- Department of Neurology, Columbia University Irving Medical Center, New York, NY, USA
| | - Ji-Sun Kwon
- Department of Developmental Biology Washington University School of Medicine in St. Louis, St. Louis, MO, USA
| | - Christopher W Ng
- Massachusetts Institute of Technology, Department of Biological Engineering, Cambridge, MA, USA
| | - Kelly Jakubiak
- Department of Pathology and Cell Biology, Columbia University Irving Medical Center, New York, NY, USA
| | - Nacoya Madden
- Department of Pathology and Cell Biology, Columbia University Irving Medical Center, New York, NY, USA
| | - Kenneth Ofori
- Department of Pathology and Cell Biology, Columbia University Irving Medical Center, New York, NY, USA
| | - Alice Tang
- Department of Pathology and Cell Biology, Columbia University Irving Medical Center, New York, NY, USA
| | - Hong Lu
- Department of Pathology and Cell Biology, Columbia University Irving Medical Center, New York, NY, USA
| | - Shengnan Xia
- Department of Pathology and Cell Biology, Columbia University Irving Medical Center, New York, NY, USA
| | - Juncheng Li
- Department of Pathology and Cell Biology, Columbia University Irving Medical Center, New York, NY, USA
| | - Aayushi Mahajan
- Department of Pathology and Cell Biology, Columbia University Irving Medical Center, New York, NY, USA
| | - Shawn M Davidson
- Northwestern Feinberg School of Medicine, Northwestern University, Evanston, IL, USA
| | | | | | - Jean Paul Vonsattel
- Department of Pathology and Cell Biology, Columbia University Irving Medical Center, New York, NY, USA
| | - Richard Hickman
- Department of Pathology and Cell Biology, Columbia University Irving Medical Center, New York, NY, USA
| | | | - David E Housman
- Massachusetts Institute of Technology, Department of Biological Engineering, Cambridge, MA, USA
| | - James E Goldman
- Department of Pathology and Cell Biology, Columbia University Irving Medical Center, New York, NY, USA
- Taub Institute for Research on Alzheimer's Disease and the Aging Brain, New York, NY, USA
| | - Andrew S Yoo
- Department of Developmental Biology Washington University School of Medicine in St. Louis, St. Louis, MO, USA
| | - Vilas Menon
- Department of Neurology, Columbia University Irving Medical Center, New York, NY, USA.
- Taub Institute for Research on Alzheimer's Disease and the Aging Brain, New York, NY, USA.
| | - Osama Al-Dalahmah
- Department of Pathology and Cell Biology, Columbia University Irving Medical Center, New York, NY, USA.
- Taub Institute for Research on Alzheimer's Disease and the Aging Brain, New York, NY, USA.
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11
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Wälchli T, Ghobrial M, Schwab M, Takada S, Zhong H, Suntharalingham S, Vetiska S, Gonzalez DR, Wu R, Rehrauer H, Dinesh A, Yu K, Chen ELY, Bisschop J, Farnhammer F, Mansur A, Kalucka J, Tirosh I, Regli L, Schaller K, Frei K, Ketela T, Bernstein M, Kongkham P, Carmeliet P, Valiante T, Dirks PB, Suva ML, Zadeh G, Tabar V, Schlapbach R, Jackson HW, De Bock K, Fish JE, Monnier PP, Bader GD, Radovanovic I. Single-cell atlas of the human brain vasculature across development, adulthood and disease. Nature 2024; 632:603-613. [PMID: 38987604 PMCID: PMC11324530 DOI: 10.1038/s41586-024-07493-y] [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: 10/17/2021] [Accepted: 04/30/2024] [Indexed: 07/12/2024]
Abstract
A broad range of brain pathologies critically relies on the vasculature, and cerebrovascular disease is a leading cause of death worldwide. However, the cellular and molecular architecture of the human brain vasculature remains incompletely understood1. Here we performed single-cell RNA sequencing analysis of 606,380 freshly isolated endothelial cells, perivascular cells and other tissue-derived cells from 117 samples, from 68 human fetuses and adult patients to construct a molecular atlas of the developing fetal, adult control and diseased human brain vasculature. We identify extensive molecular heterogeneity of the vasculature of healthy fetal and adult human brains and across five vascular-dependent central nervous system (CNS) pathologies, including brain tumours and brain vascular malformations. We identify alteration of arteriovenous differentiation and reactivated fetal as well as conserved dysregulated genes and pathways in the diseased vasculature. Pathological endothelial cells display a loss of CNS-specific properties and reveal an upregulation of MHC class II molecules, indicating atypical features of CNS endothelial cells. Cell-cell interaction analyses predict substantial endothelial-to-perivascular cell ligand-receptor cross-talk, including immune-related and angiogenic pathways, thereby revealing a central role for the endothelium within brain neurovascular unit signalling networks. Our single-cell brain atlas provides insights into the molecular architecture and heterogeneity of the developing, adult/control and diseased human brain vasculature and serves as a powerful reference for future studies.
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Affiliation(s)
- Thomas Wälchli
- Group Brain Vasculature and Perivascular Niche, Division of Experimental and Translational Neuroscience, Krembil Brain Institute, Krembil Research Institute, Toronto Western Hospital, University Health Network, University of Toronto, Toronto, Ontario, Canada.
- Division of Neurosurgery, Department of Surgery, University of Toronto, Toronto, Ontario, Canada.
- Group of CNS Angiogenesis and Neurovascular Link, Neuroscience Center Zurich, University of Zurich and University Hospital Zurich, Zurich, Switzerland.
- Division of Neurosurgery, University Hospital Zurich, Zurich, Switzerland.
| | - Moheb Ghobrial
- Group Brain Vasculature and Perivascular Niche, Division of Experimental and Translational Neuroscience, Krembil Brain Institute, Krembil Research Institute, Toronto Western Hospital, University Health Network, University of Toronto, Toronto, Ontario, Canada
- Division of Neurosurgery, Department of Surgery, University of Toronto, Toronto, Ontario, Canada
- Group of CNS Angiogenesis and Neurovascular Link, Neuroscience Center Zurich, University of Zurich and University Hospital Zurich, Zurich, Switzerland
- Division of Neurosurgery, University Hospital Zurich, Zurich, Switzerland
- Laboratory of Exercise and Health, Institute of Exercise and Health, Department of Health Sciences and Technology; Swiss Federal Institute of Technology (ETH Zurich), Zurich, Switzerland
| | - Marc Schwab
- Group Brain Vasculature and Perivascular Niche, Division of Experimental and Translational Neuroscience, Krembil Brain Institute, Krembil Research Institute, Toronto Western Hospital, University Health Network, University of Toronto, Toronto, Ontario, Canada
- Division of Neurosurgery, Department of Surgery, University of Toronto, Toronto, Ontario, Canada
- Group of CNS Angiogenesis and Neurovascular Link, Neuroscience Center Zurich, University of Zurich and University Hospital Zurich, Zurich, Switzerland
- Division of Neurosurgery, University Hospital Zurich, Zurich, Switzerland
- Institute for Regenerative Medicine, University of Zurich, Zurich, Switzerland
| | - Shigeki Takada
- Division of Neurosurgery, Department of Surgery, University of Toronto, Toronto, Ontario, Canada
- Department of Neurosurgery, Kyoto University Graduate School of Medicine, Kyoto, Japan
- Division of Experimental and Translational Neuroscience, Krembil Brain Institute, Krembil Research Institute, Toronto Western Hospital, University Health Network, University of Toronto, Toronto, Ontario, Canada
| | - Hang Zhong
- Group Brain Vasculature and Perivascular Niche, Division of Experimental and Translational Neuroscience, Krembil Brain Institute, Krembil Research Institute, Toronto Western Hospital, University Health Network, University of Toronto, Toronto, Ontario, Canada
- Division of Neurosurgery, Department of Surgery, University of Toronto, Toronto, Ontario, Canada
- Group of CNS Angiogenesis and Neurovascular Link, Neuroscience Center Zurich, University of Zurich and University Hospital Zurich, Zurich, Switzerland
- Division of Neurosurgery, University Hospital Zurich, Zurich, Switzerland
- Laboratory of Exercise and Health, Institute of Exercise and Health, Department of Health Sciences and Technology; Swiss Federal Institute of Technology (ETH Zurich), Zurich, Switzerland
| | - Samuel Suntharalingham
- Group Brain Vasculature and Perivascular Niche, Division of Experimental and Translational Neuroscience, Krembil Brain Institute, Krembil Research Institute, Toronto Western Hospital, University Health Network, University of Toronto, Toronto, Ontario, Canada
- Division of Neurosurgery, Department of Surgery, University of Toronto, Toronto, Ontario, Canada
- Department of Physiology, Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
| | - Sandra Vetiska
- Division of Neurosurgery, Department of Surgery, University of Toronto, Toronto, Ontario, Canada
- Division of Experimental and Translational Neuroscience, Krembil Brain Institute, Krembil Research Institute, Toronto Western Hospital, University Health Network, University of Toronto, Toronto, Ontario, Canada
| | | | - Ruilin Wu
- Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, Ontario, Canada
- Toronto General Hospital Research Institute, University Health Network, Toronto, Ontario, Canada
| | - Hubert Rehrauer
- Functional Genomics Center Zurich, ETH Zurich/University of Zurich, Zurich, Switzerland
| | - Anuroopa Dinesh
- The Lunenfeld-Tanenbaum Research Institute, Mount Sinai Health System, Toronto, Ontario, Canada
| | - Kai Yu
- Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, Ontario, Canada
- Toronto General Hospital Research Institute, University Health Network, Toronto, Ontario, Canada
| | - Edward L Y Chen
- The Lunenfeld-Tanenbaum Research Institute, Mount Sinai Health System, Toronto, Ontario, Canada
- Department of Molecular Genetics, University of Toronto, Toronto, Ontario, Canada
| | - Jeroen Bisschop
- Group Brain Vasculature and Perivascular Niche, Division of Experimental and Translational Neuroscience, Krembil Brain Institute, Krembil Research Institute, Toronto Western Hospital, University Health Network, University of Toronto, Toronto, Ontario, Canada
- Division of Neurosurgery, Department of Surgery, University of Toronto, Toronto, Ontario, Canada
- Group of CNS Angiogenesis and Neurovascular Link, Neuroscience Center Zurich, University of Zurich and University Hospital Zurich, Zurich, Switzerland
- Division of Neurosurgery, University Hospital Zurich, Zurich, Switzerland
- Department of Physiology, Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
| | - Fiona Farnhammer
- Group Brain Vasculature and Perivascular Niche, Division of Experimental and Translational Neuroscience, Krembil Brain Institute, Krembil Research Institute, Toronto Western Hospital, University Health Network, University of Toronto, Toronto, Ontario, Canada
- Division of Neurosurgery, Department of Surgery, University of Toronto, Toronto, Ontario, Canada
- Group of CNS Angiogenesis and Neurovascular Link, Neuroscience Center Zurich, University of Zurich and University Hospital Zurich, Zurich, Switzerland
- Division of Neurosurgery, University Hospital Zurich, Zurich, Switzerland
- Department of Physiology, Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
| | - Ann Mansur
- Division of Neurosurgery, Department of Surgery, University of Toronto, Toronto, Ontario, Canada
- Division of Experimental and Translational Neuroscience, Krembil Brain Institute, Krembil Research Institute, Toronto Western Hospital, University Health Network, University of Toronto, Toronto, Ontario, Canada
- Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, Ontario, Canada
| | - Joanna Kalucka
- Department of Biomedicine, Aarhus University, Aarhus, Denmark
| | - Itay Tirosh
- Department of Molecular Cell Biology, Weizmann Institute of Science, Rehovot, Israel
| | - Luca Regli
- Division of Neurosurgery, University Hospital Zurich, Zurich, Switzerland
| | - Karl Schaller
- Department of Neurosurgery, University of Geneva Medical Center & Faculty of Medicine, University of Geneva, Geneva, Switzerland
| | - Karl Frei
- Group of CNS Angiogenesis and Neurovascular Link, Neuroscience Center Zurich, University of Zurich and University Hospital Zurich, Zurich, Switzerland
- Division of Neurosurgery, University Hospital Zurich, Zurich, Switzerland
| | - Troy Ketela
- The Donnelly Centre, University of Toronto, Toronto, Ontario, Canada
| | - Mark Bernstein
- Division of Neurosurgery, Department of Surgery, University of Toronto, Toronto, Ontario, Canada
- Division of Neurosurgery, Sprott Department of Surgery, University of Toronto, Toronto, Ontario, Canada
| | - Paul Kongkham
- Division of Neurosurgery, Department of Surgery, University of Toronto, Toronto, Ontario, Canada
- Division of Neurosurgery, Sprott Department of Surgery, University of Toronto, Toronto, Ontario, Canada
- MacFeeters-Hamilton Centre for Neuro-Oncology Research, University Health Network, Toronto, Ontario, Canada
| | - Peter Carmeliet
- Laboratory of Angiogenesis and Vascular Metabolism, Center for Cancer Biology, VIB & Department of Oncology, KU Leuven, Leuven, Belgium
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou, P. R. China
- Laboratory of Angiogenesis and Vascular Heterogeneity, Department of Biomedicine, Aarhus University, Aarhus, Denmark
| | - Taufik Valiante
- Division of Neurosurgery, Department of Surgery, University of Toronto, Toronto, Ontario, Canada
- Division of Neurosurgery, Sprott Department of Surgery, University of Toronto, Toronto, Ontario, Canada
- Krembil Brain Institute, Division of Clinical and Computational Neuroscience, Krembil Research Institute, Toronto Western Hospital, University Health Network, University of Toronto, Toronto, Ontario, Canada
- Institute of Biomaterials and Biomedical Engineering and Electrical and Computer Engineering, University of Toronto, Toronto, Ontario, Canada
- Institute of Medical Science Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
| | - Peter B Dirks
- Division of Neurosurgery, Department of Surgery, University of Toronto, Toronto, Ontario, Canada
- Department of Molecular Genetics, University of Toronto, Toronto, Ontario, Canada
- Division of Neurosurgery, Arthur and Sonia Labatt Brain Tumor Research Center, Departments of Surgery and Molecular Genetics, Hospital for Sick Children, Toronto, Ontario, Canada
| | - Mario L Suva
- Department of Pathology and Center for Cancer Research, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
- Broad Institute of Harvard and MIT, Cambridge, MA, USA
| | - Gelareh Zadeh
- Division of Neurosurgery, Department of Surgery, University of Toronto, Toronto, Ontario, Canada
- Division of Neurosurgery, Sprott Department of Surgery, University of Toronto, Toronto, Ontario, Canada
- Princess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada
| | - Viviane Tabar
- Department of Neurosurgery, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Ralph Schlapbach
- Functional Genomics Center Zurich, ETH Zurich/University of Zurich, Zurich, Switzerland
| | - Hartland W Jackson
- The Lunenfeld-Tanenbaum Research Institute, Mount Sinai Health System, Toronto, Ontario, Canada
- Department of Molecular Genetics, University of Toronto, Toronto, Ontario, Canada
- Ontario Institute of Cancer Research, Toronto, Ontario, Canada
| | - Katrien De Bock
- Laboratory of Exercise and Health, Institute of Exercise and Health, Department of Health Sciences and Technology; Swiss Federal Institute of Technology (ETH Zurich), Zurich, Switzerland
| | - Jason E Fish
- Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, Ontario, Canada
- Toronto General Hospital Research Institute, University Health Network, Toronto, Ontario, Canada
- Peter Munk Cardiac Centre, University Health Network, Toronto, Ontario, Canada
| | - Philippe P Monnier
- Department of Physiology, Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
- Krembil Research Institute, Vision Division, Krembil Discovery Tower, Toronto, Ontario, Canada
- Department of Ophthalmology and Vision Sciences, Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
| | - Gary D Bader
- The Lunenfeld-Tanenbaum Research Institute, Mount Sinai Health System, Toronto, Ontario, Canada
- Department of Molecular Genetics, University of Toronto, Toronto, Ontario, Canada
- The Donnelly Centre, University of Toronto, Toronto, Ontario, Canada
- Department of Computer Science, University of Toronto, Toronto, Ontario, Canada
| | - Ivan Radovanovic
- Division of Neurosurgery, Department of Surgery, University of Toronto, Toronto, Ontario, Canada
- Division of Experimental and Translational Neuroscience, Krembil Brain Institute, Krembil Research Institute, Toronto Western Hospital, University Health Network, University of Toronto, Toronto, Ontario, Canada
- Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, Ontario, Canada
- Division of Neurosurgery, Sprott Department of Surgery, University of Toronto, Toronto, Ontario, Canada
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12
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Yao Y, Chen Y, Tomer R, Silver R. Capillary connections between sensory circumventricular organs and adjacent parenchyma enable local volume transmission. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.07.30.605849. [PMID: 39211092 PMCID: PMC11361043 DOI: 10.1101/2024.07.30.605849] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 09/04/2024]
Abstract
Among contributors to diffusible signaling are portal systems which join two capillary beds through connecting veins (Dorland 2020). Portal systems allow diffusible signals to be transported in high concentrations directly from one capillary bed to the other without dilution in the systemic circulation. Two portal systems have been identified in the brain. The first was discovered almost a century ago and connects the median eminence to the anterior pituitary gland (Popa & Fielding 1930). The second was discovered a few years ago, and links the suprachiasmatic nucleus to the organum vasculosum of the lamina terminalis, a sensory circumventricular organ (CVO) (Yao et al. 2021). Sensory CVOs bear neuronal receptors for sensing signals in the fluid milieu (McKinley et al. 2003). They line the surface of brain ventricles and bear fenestrated capillaries, thereby lacking blood brain barriers. It is not known whether the other sensory CVOs, namely the subfornical organ (SFO), and area postrema (AP) form portal neurovascular connections with nearby parenchymal tissue. This has been difficult to establish as the structures lie at the midline and protrude into the ventricular space. To preserve the integrity of the vasculature of CVOs and their adjacent neuropil, we combined iDISCO clearing and light-sheet microscopy to acquire volumetric images of blood vessels. The results indicate that there is a portal pathway linking the capillary vessels of the SFO and the posterior septal nuclei, namely the septofimbrial nucleus and the triangular nucleus of the septum. Unlike the latter arrangement, the AP and the nucleus of the solitary tract share their capillary beds. Taken together, the results reveal that all three sensory circumventricular organs bear specialized capillary connections to adjacent neuropil, providing a direct route for diffusible signals to travel from their source to their targets.
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13
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Kang J, Deng YT, Wu BS, Liu WS, Li ZY, Xiang S, Yang L, You J, Gong X, Jia T, Yu JT, Cheng W, Feng J. Whole exome sequencing analysis identifies genes for alcohol consumption. Nat Commun 2024; 15:5777. [PMID: 38982111 PMCID: PMC11233704 DOI: 10.1038/s41467-024-50132-3] [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: 05/15/2023] [Accepted: 06/26/2024] [Indexed: 07/11/2024] Open
Abstract
Alcohol consumption is a heritable behavior seriously endangers human health. However, genetic studies on alcohol consumption primarily focuses on common variants, while insights from rare coding variants are lacking. Here we leverage whole exome sequencing data across 304,119 white British individuals from UK Biobank to identify protein-coding variants associated with alcohol consumption. Twenty-five variants are associated with alcohol consumption through single variant analysis and thirteen genes through gene-based analysis, ten of which have not been reported previously. Notably, the two unreported alcohol consumption-related genes GIGYF1 and ANKRD12 show enrichment in brain function-related pathways including glial cell differentiation and are strongly expressed in the cerebellum. Phenome-wide association analyses reveal that alcohol consumption-related genes are associated with brain white matter integrity and risk of digestive and neuropsychiatric diseases. In summary, this study enhances the comprehension of the genetic architecture of alcohol consumption and implies biological mechanisms underlying alcohol-related adverse outcomes.
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Affiliation(s)
- Jujiao Kang
- Institute of Science and Technology for Brain-Inspired Intelligence (ISTBI), Fudan University, Shanghai, 200433, China
- Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence (Fudan University), Ministry of Education, Shanghai, 200433, China
| | - Yue-Ting Deng
- Department of Neurology and National Center for Neurological Disorders, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Shanghai Medical College, Fudan University, Shanghai, 200433, China
| | - Bang-Sheng Wu
- Department of Neurology and National Center for Neurological Disorders, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Shanghai Medical College, Fudan University, Shanghai, 200433, China
| | - Wei-Shi Liu
- Department of Neurology and National Center for Neurological Disorders, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Shanghai Medical College, Fudan University, Shanghai, 200433, China
| | - Ze-Yu Li
- Institute of Science and Technology for Brain-Inspired Intelligence (ISTBI), Fudan University, Shanghai, 200433, China
- Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence (Fudan University), Ministry of Education, Shanghai, 200433, China
| | - Shitong Xiang
- Institute of Science and Technology for Brain-Inspired Intelligence (ISTBI), Fudan University, Shanghai, 200433, China
- Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence (Fudan University), Ministry of Education, Shanghai, 200433, China
| | - Liu Yang
- Department of Neurology and National Center for Neurological Disorders, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Shanghai Medical College, Fudan University, Shanghai, 200433, China
| | - Jia You
- Institute of Science and Technology for Brain-Inspired Intelligence (ISTBI), Fudan University, Shanghai, 200433, China
- Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence (Fudan University), Ministry of Education, Shanghai, 200433, China
| | - Xiaohong Gong
- School of Life Sciences, Fudan University, Shanghai, 200433, China
| | - Tianye Jia
- Institute of Science and Technology for Brain-Inspired Intelligence (ISTBI), Fudan University, Shanghai, 200433, China
- Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence (Fudan University), Ministry of Education, Shanghai, 200433, China
- Social Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
- School of Psychology, University of Southampton, Southampton, UK
| | - Jin-Tai Yu
- Department of Neurology and National Center for Neurological Disorders, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Shanghai Medical College, Fudan University, Shanghai, 200433, China.
| | - Wei Cheng
- Institute of Science and Technology for Brain-Inspired Intelligence (ISTBI), Fudan University, Shanghai, 200433, China.
- Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence (Fudan University), Ministry of Education, Shanghai, 200433, China.
- Department of Neurology and National Center for Neurological Disorders, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Shanghai Medical College, Fudan University, Shanghai, 200433, China.
- Fudan ISTBI-ZJNU Algorithm Centre for Brain-inspired Intelligence, Zhejiang Normal University, Zhejiang, China.
| | - Jianfeng Feng
- Institute of Science and Technology for Brain-Inspired Intelligence (ISTBI), Fudan University, Shanghai, 200433, China.
- Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence (Fudan University), Ministry of Education, Shanghai, 200433, China.
- Fudan ISTBI-ZJNU Algorithm Centre for Brain-inspired Intelligence, Zhejiang Normal University, Zhejiang, China.
- Department of Computer Science, University of Warwick, Coventry, CV4 7AL, UK.
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14
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Joachimiak MP, Caufield JH, Harris NL, Kim H, Mungall CJ. Gene Set Summarization Using Large Language Models. ARXIV 2024:arXiv:2305.13338v3. [PMID: 37292480 PMCID: PMC10246080] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Subscribe] [Scholar Register] [Indexed: 06/10/2023]
Abstract
Molecular biologists frequently interpret gene lists derived from high-throughput experiments and computational analysis. This is typically done as a statistical enrichment analysis that measures the over- or under-representation of biological function terms associated with genes or their properties, based on curated assertions from a knowledge base (KB) such as the Gene Ontology (GO). Interpreting gene lists can also be framed as a textual summarization task, enabling Large Language Models (LLMs) to use scientific texts directly and avoid reliance on a KB. TALISMAN (Terminological ArtificiaL Intelligence SuMmarization of Annotation and Narratives) uses generative AI to perform gene set function summarization as a complement to standard enrichment analysis. This method can use different sources of gene functional information: (1) structured text derived from curated ontological KB annotations, (2) ontology-free narrative gene summaries, or (3) direct retrieval from the model. We demonstrate that these methods are able to generate plausible and biologically valid summary GO term lists for an input gene set. However, LLM-based approaches are unable to deliver reliable scores or p-values and often return terms that are not statistically significant. Crucially, in our experiments these methods were rarely able to recapitulate the most precise and informative term from standard enrichment analysis. We also observe minor differences depending on prompt input information, with GO term descriptions leading to higher recall but lower precision. However, newer LLM models perform statistically significantly better than the oldest model across all performance metrics, suggesting that future models may lead to further improvements. Overall, the results are nondeterministic, with minor variations in prompt resulting in radically different term lists, true to the stochastic nature of LLMs. Our results show that at this point, LLM-based methods are unsuitable as a replacement for standard term enrichment analysis, however they may provide summarization benefits for implicit knowledge integration across extant but unstandardized knowledge, for large sets of features, and where the amount of information is difficult for humans to process.
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Affiliation(s)
- Marcin P Joachimiak
- Biosystems Data Science Department, Environmental Genomics and Systems Biology Division, Lawrence Berkeley National Laboratory, 1 Cyclotron Road, Berkeley, CA 94720, USA
| | - J Harry Caufield
- Biosystems Data Science Department, Environmental Genomics and Systems Biology Division, Lawrence Berkeley National Laboratory, 1 Cyclotron Road, Berkeley, CA 94720, USA
| | - Nomi L Harris
- Biosystems Data Science Department, Environmental Genomics and Systems Biology Division, Lawrence Berkeley National Laboratory, 1 Cyclotron Road, Berkeley, CA 94720, USA
| | | | - Christopher J Mungall
- Biosystems Data Science Department, Environmental Genomics and Systems Biology Division, Lawrence Berkeley National Laboratory, 1 Cyclotron Road, Berkeley, CA 94720, USA
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15
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Gong W, Fu Y, Wu BS, Du J, Yang L, Zhang YR, Chen SD, Kang J, Mao Y, Dong Q, Tan L, Feng J, Cheng W, Yu JT. Whole-exome sequencing identifies protein-coding variants associated with brain iron in 29,828 individuals. Nat Commun 2024; 15:5540. [PMID: 38956042 PMCID: PMC11219919 DOI: 10.1038/s41467-024-49702-2] [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: 04/12/2024] [Accepted: 06/16/2024] [Indexed: 07/04/2024] Open
Abstract
Iron plays a fundamental role in multiple brain disorders. However, the genetic underpinnings of brain iron and its implications for these disorders are still lacking. Here, we conduct an exome-wide association analysis of brain iron, measured by quantitative susceptibility mapping technique, across 26 brain regions among 26,789 UK Biobank participants. We find 36 genes linked to brain iron, with 29 not being previously reported, and 16 of them can be replicated in an independent dataset with 3,039 subjects. Many of these genes are involved in iron transport and homeostasis, such as FTH1 and MLX. Several genes, while not previously connected to brain iron, are associated with iron-related brain disorders like Parkinson's (STAB1, KCNA10), Alzheimer's (SHANK1), and depression (GFAP). Mendelian randomization analysis reveals six causal relationships from regional brain iron to brain disorders, such as from the hippocampus to depression and from the substantia nigra to Parkinson's. These insights advance our understanding of the genetic architecture of brain iron and offer potential therapeutic targets for brain disorders.
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Affiliation(s)
- Weikang Gong
- School of Data Science, Department of Neurology and National Center for Neurological Disorders, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Fudan University, Shanghai, China.
- Centre for Functional MRI of the Brain (FMRIB), Nuffield Department of Clinical Neurosciences, Wellcome Centre for Integrative Neuroimaging, University of Oxford, Oxford, OX3 9DU, UK.
| | - Yan Fu
- Department of Neurology, Qingdao Municipal Hospital, Qingdao University, 266071, Qingdao, China
| | - Bang-Sheng Wu
- School of Data Science, Department of Neurology and National Center for Neurological Disorders, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Fudan University, Shanghai, China
| | - Jingnan Du
- Department of Psychology, Center for Brain Science, Harvard University, Cambridge, MA, 02138, USA
| | - Liu Yang
- School of Data Science, Department of Neurology and National Center for Neurological Disorders, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Fudan University, Shanghai, China
| | - Ya-Ru Zhang
- School of Data Science, Department of Neurology and National Center for Neurological Disorders, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Fudan University, Shanghai, China
| | - Shi-Dong Chen
- School of Data Science, Department of Neurology and National Center for Neurological Disorders, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Fudan University, Shanghai, China
| | - JuJiao Kang
- Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, 200433, Shanghai, China
- Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence, Ministry of Education, Fudan University, 200433, Shanghai, China
| | - Ying Mao
- School of Data Science, Department of Neurology and National Center for Neurological Disorders, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Fudan University, Shanghai, China
| | - Qiang Dong
- School of Data Science, Department of Neurology and National Center for Neurological Disorders, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Fudan University, Shanghai, China
| | - Lan Tan
- Department of Neurology, Qingdao Municipal Hospital, Qingdao University, 266071, Qingdao, China
| | - Jianfeng Feng
- Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, 200433, Shanghai, China
- Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence, Ministry of Education, Fudan University, 200433, Shanghai, China
- Department of Computer Science, University of Warwick, Coventry, UK
| | - Wei Cheng
- School of Data Science, Department of Neurology and National Center for Neurological Disorders, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Fudan University, Shanghai, China.
- Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, 200433, Shanghai, China.
- Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence, Ministry of Education, Fudan University, 200433, Shanghai, China.
| | - Jin-Tai Yu
- School of Data Science, Department of Neurology and National Center for Neurological Disorders, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Fudan University, Shanghai, China.
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16
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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, Le Grand Q, 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] [Grants] [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.
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Affiliation(s)
| | | | - Daniel Western
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA
| | | | - Na Sun
- MIT Computer Science and Artificial Intelligence Laboratory; Broad Institute of MIT and Harvard
| | | | - Yunye He
- Graduate School of Frontier Sciences, The University of Tokyo
| | | | | | - Tim D'Aoust
- Bordeaux Population Health, Inserm U1219, University of Bordeaux
| | | | - Murali Sargurupremraj
- University of Bordeaux, Inserm, Bordeaux Population Health Research Center, team VINTAGE, UMR 1219, F-33000 Bordeaux, France; Glenn Biggs Institute for Alzheimer's & Neurodegenerative Diseases Unive
| | | | - Masaru Koido
- Graduate School of Frontier Sciences, The University of Tokyo
| | | | | | - Jigyasha Timsina
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA
| | | | - Koichi Matsuda
- Department of Computational Biology and Medical Sciences, Graduate school of Frontier Sciences, The University of Tokyo
| | | | - Yoshiya Oda
- Graduate School of Medicine, The University of Tokyo
| | | | | | | | - Dan Auld
- Victor Phillip Dahdaleh Institute of Genomic Medicine, McGill University
| | - Iana Astafeva
- Bordeaux Population Health, Inserm U1219, University of Bordeaux; Institute of Neurodegenerative Diseases
| | | | - Jerome Rotter
- The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center
| | | | | | | | - Thierry Couffinhal
- University of Bordeaux, The clinical unit of Exploration, Prevention and Care Center for Atherosclerosis (CEPTA), CHUB, Inserm U1034
| | | | - Vanesa Pytel
- Ace Alzheimer Center Barcelona, Universitat Internacional de Catalunya; CIBERNED, Network Center for Biomedical Research in Neurodegenerative Diseases, National Institute of Health Carlos III
| | | | | | | | | | - Mark Lathrop
- Department of Human Genetics, McGill University, 1205 Dr Penfield Avenue, Montreal, QC, H3A 1B1, Canada
| | - Quentin Le Grand
- University of Bordeaux, Inserm, Bordeaux Population Health Research Center, UMR 1219
| | - Lenore Launer
- National Institute on Aging, National Institutes of Health
| | | | | | - Agustin Ruiz
- Glenn Biggs Institute for Alzheimer's and Neurodegenerative Diseases, University of Texas Health Sciences Center; Ace Alzheimer Center Barcelona, Universitat Internacional de Catalunya;CIBERN
| | - Paul Matthews
- UK Dementia Research Institute Centre at Imperial College London
| | | | - Myriam Fornage
- 1. Institute of Molecular Medicine, McGovern Medical School, The University of Texas Health Science Center 2. Human Genetics Center, Department of Epidemiology, School of Public Health
| | - Hieab Adams
- Department of Human Genetics, Radboud University Medical Center; Latin American Brain Health (BrainLat), Universidad Adolfo Ibáñez
| | | | | | - Yukinori Okada
- Department of Genome Informatics, Graduate School of Medicine, The Univ. of Tokyo; Department of Statistical Genetics, Osaka Univ. Graduate School of Medicine; Laboratory for Systems Genetic, RIKEN
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17
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Bohannon DG, Long D, Okhravi HR, Lee SC, De Jesus CL, Neubert TA, Rostagno AA, Ghiso JA, Kim WK. Functionally distinct pericyte subsets differently regulate amyloid-β deposition in patients with Alzheimer's disease. Brain Pathol 2024:e13282. [PMID: 38932696 DOI: 10.1111/bpa.13282] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/05/2024] [Accepted: 06/11/2024] [Indexed: 06/28/2024] Open
Abstract
Although the concept that the blood-brain barrier (BBB) plays an important role in the etiology and pathogenesis of Alzheimer's disease (AD) has become increasingly accepted, little is known yet about how it actually contributes. We and others have recently identified a novel functionally distinct subset of BBB pericytes (PCs). In the present study, we sought to determine whether these PC subsets differentially contribute to AD-associated pathologies by immunohistochemistry and amyloid beta (Aβ) peptidomics. We demonstrated that a disease-associated PC subset (PC2) expanded in AD patients compared to age-matched, cognitively unimpaired controls. Surprisingly, we found that this increase in the percentage of PC2 (%PC2) was correlated negatively with BBB breakdown in AD patients, unlike in natural aging or other reported disease conditions. The higher %PC2 in AD patients was also correlated with a lower Aβ42 plaque load and a lower Aβ42:Aβ40 ratio in the brain as determined by immunohistochemistry. Colocalization analysis of multicolor confocal immunofluorescence microscopy images suggests that AD patient with low %PC2 have higher BBB breakdown due to internalization of Aβ42 by the physiologically normal PC subset (PC1) and their concomitant cell death leading to more vessels without PCs and increased plaque load. On the contrary, it appears that PC2 can secrete cathepsin D to cleave and degrade Aβ built up outside of PC2 into more soluble forms, ultimately contributing to less BBB breakdown and reducing Aβ plaque load. Collectively our data shows functionally distinct mechanisms for PC1 and PC2 in high Aβ conditions, demonstrating the importance of correctly identifying these populations when investigating the contribution of neurovascular dysfunction to AD pathogenesis.
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Affiliation(s)
- Diana G Bohannon
- Department of Microbiology and Molecular Cell Biology, Eastern Virginia Medical School, Norfolk, Virginia, USA
| | - Danielle Long
- Department of Microbiology and Molecular Cell Biology, Eastern Virginia Medical School, Norfolk, Virginia, USA
| | - Hamid R Okhravi
- Glennan Center for Geriatrics and Gerontology, Eastern Virginia Medical School, Norfolk, Virginia, USA
- Integrated Neurodegenerative Disorders Center, Eastern Virginia Medical School, Norfolk, Virginia, USA
| | - Sunhee C Lee
- Regeneron Pharmaceuticals, Inc, Tarrytown, New York, USA
| | | | - Thomas A Neubert
- Department of Neuroscience and Physiology, New York University Grossman School of Medicine, New York, New York, USA
| | - Agueda A Rostagno
- Department of Pathology, New York University Grossman School of Medicine, New York, New York, USA
| | - Jorge A Ghiso
- Department of Pathology, New York University Grossman School of Medicine, New York, New York, USA
- Department of Psychiatry, New York University Grossman School of Medicine, New York, New York, USA
| | - Woong-Ki Kim
- Department of Microbiology and Molecular Cell Biology, Eastern Virginia Medical School, Norfolk, Virginia, USA
- Integrated Neurodegenerative Disorders Center, Eastern Virginia Medical School, Norfolk, Virginia, USA
- Division of Microbiology, Tulane National Primate Research Center, Covington, Louisiana, USA
- Department of Microbiology and Immunology, Tulane University School of Medicine, New Orleans, Louisiana, USA
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18
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İş Ö, Wang X, Reddy JS, Min Y, Yilmaz E, Bhattarai P, Patel T, Bergman J, Quicksall Z, Heckman MG, Tutor-New FQ, Can Demirdogen B, White L, Koga S, Krause V, Inoue Y, Kanekiyo T, Cosacak MI, Nelson N, Lee AJ, Vardarajan B, Mayeux R, Kouri N, Deniz K, Carnwath T, Oatman SR, Lewis-Tuffin LJ, Nguyen T, Carrasquillo MM, Graff-Radford J, Petersen RC, Jr Jack CR, Kantarci K, Murray ME, Nho K, Saykin AJ, Dickson DW, Kizil C, Allen M, Ertekin-Taner N. Gliovascular transcriptional perturbations in Alzheimer's disease reveal molecular mechanisms of blood brain barrier dysfunction. Nat Commun 2024; 15:4758. [PMID: 38902234 PMCID: PMC11190273 DOI: 10.1038/s41467-024-48926-6] [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: 10/09/2023] [Accepted: 05/17/2024] [Indexed: 06/22/2024] Open
Abstract
To uncover molecular changes underlying blood-brain-barrier dysfunction in Alzheimer's disease, we performed single nucleus RNA sequencing in 24 Alzheimer's disease and control brains and focused on vascular and astrocyte clusters as main cell types of blood-brain-barrier gliovascular-unit. The majority of the vascular transcriptional changes were in pericytes. Of the vascular molecular targets predicted to interact with astrocytic ligands, SMAD3, upregulated in Alzheimer's disease pericytes, has the highest number of ligands including VEGFA, downregulated in Alzheimer's disease astrocytes. We validated these findings with external datasets comprising 4,730 pericyte and 150,664 astrocyte nuclei. Blood SMAD3 levels are associated with Alzheimer's disease-related neuroimaging outcomes. We determined inverse relationships between pericytic SMAD3 and astrocytic VEGFA in human iPSC and zebrafish models. Here, we detect vast transcriptome changes in Alzheimer's disease at the gliovascular-unit, prioritize perturbed pericytic SMAD3-astrocytic VEGFA interactions, and validate these in cross-species models to provide a molecular mechanism of blood-brain-barrier disintegrity in Alzheimer's disease.
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Affiliation(s)
- Özkan İş
- Department of Neuroscience, Mayo Clinic, Jacksonville, FL, USA
| | - Xue Wang
- Department of Quantitative Health Sciences, Mayo Clinic, Jacksonville, FL, USA
| | - Joseph S Reddy
- Department of Quantitative Health Sciences, Mayo Clinic, Jacksonville, FL, USA
| | - Yuhao Min
- Department of Neuroscience, Mayo Clinic, Jacksonville, FL, USA
| | - Elanur Yilmaz
- Department of Neurology, Columbia University Irving Medical Center, New York, NY, USA
- Taub Institute for Research on Alzheimer's Disease and the Aging Brain, Columbia University Irving Medical Center, New York, NY, USA
| | - Prabesh Bhattarai
- Department of Neurology, Columbia University Irving Medical Center, New York, NY, USA
- Taub Institute for Research on Alzheimer's Disease and the Aging Brain, Columbia University Irving Medical Center, New York, NY, USA
| | - Tulsi Patel
- Department of Neuroscience, Mayo Clinic, Jacksonville, FL, USA
| | | | - Zachary Quicksall
- Department of Quantitative Health Sciences, Mayo Clinic, Jacksonville, FL, USA
| | - Michael G Heckman
- Department of Quantitative Health Sciences, Mayo Clinic, Jacksonville, FL, USA
| | | | - Birsen Can Demirdogen
- Department of Neuroscience, Mayo Clinic, Jacksonville, FL, USA
- Department of Biomedical Engineering, TOBB University of Economics and Technology, Ankara, Turkey
| | - Launia White
- Department of Quantitative Health Sciences, Mayo Clinic, Jacksonville, FL, USA
| | - Shunsuke Koga
- Department of Neuroscience, Mayo Clinic, Jacksonville, FL, USA
| | - Vincent Krause
- Department of Neuroscience, Mayo Clinic, Jacksonville, FL, USA
| | - Yasuteru Inoue
- Department of Neuroscience, Mayo Clinic, Jacksonville, FL, USA
| | | | - Mehmet Ilyas Cosacak
- German Center for Neurodegenerative Diseases (DZNE) within Helmholtz Association, Dresden, Germany
| | - Nastasia Nelson
- Department of Neurology, Columbia University Irving Medical Center, New York, NY, USA
- Taub Institute for Research on Alzheimer's Disease and the Aging Brain, Columbia University Irving Medical Center, New York, NY, USA
| | - Annie J Lee
- Department of Neurology, Columbia University Irving Medical Center, New York, NY, USA
- Taub Institute for Research on Alzheimer's Disease and the Aging Brain, Columbia University Irving Medical Center, New York, NY, USA
- The Gertrude H. Sergievsky Center, College of Physicians and Surgeons, Columbia University, New York, NY, USA
| | - Badri Vardarajan
- Department of Neurology, Columbia University Irving Medical Center, New York, NY, USA
- Taub Institute for Research on Alzheimer's Disease and the Aging Brain, Columbia University Irving Medical Center, New York, NY, USA
- The Gertrude H. Sergievsky Center, College of Physicians and Surgeons, Columbia University, New York, NY, USA
| | - Richard Mayeux
- Department of Neurology, Columbia University Irving Medical Center, New York, NY, USA
- Taub Institute for Research on Alzheimer's Disease and the Aging Brain, Columbia University Irving Medical Center, New York, NY, USA
- The Gertrude H. Sergievsky Center, College of Physicians and Surgeons, Columbia University, New York, NY, USA
- Department of Psychiatry, Columbia University Irving Medical Center, New York, NY, USA
- Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY, USA
| | - Naomi Kouri
- Department of Neuroscience, Mayo Clinic, Jacksonville, FL, USA
| | - Kaancan Deniz
- Department of Neuroscience, Mayo Clinic, Jacksonville, FL, USA
| | - Troy Carnwath
- Department of Neuroscience, Mayo Clinic, Jacksonville, FL, USA
| | | | - Laura J Lewis-Tuffin
- Mayo Clinic Florida Cytometry and Cell Imaging Laboratory, Mayo Clinic, Jacksonville, FL, USA
| | - Thuy Nguyen
- Department of Neuroscience, Mayo Clinic, Jacksonville, FL, USA
| | | | | | - Ronald C Petersen
- Department of Neurology, Mayo Clinic, Rochester, MN, USA
- Mayo Clinic Alzheimer's Disease Research Center, Rochester, MN, USA
| | | | - Kejal Kantarci
- Mayo Clinic Alzheimer's Disease Research Center, Rochester, MN, USA
| | | | - Kwangsik Nho
- Center for Computational Biology and Bioinformatics, Indiana University School of Medicine, Indianapolis, IN, USA
- Department of Radiology and Imaging Sciences, Indiana University School of Medicine, Indianapolis, IN, USA
- Indiana Alzheimer's Disease Research Center, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Andrew J Saykin
- Department of Radiology and Imaging Sciences, Indiana University School of Medicine, Indianapolis, IN, USA
- Indiana Alzheimer's Disease Research Center, Indiana University School of Medicine, Indianapolis, IN, USA
- Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN, USA
| | | | - Caghan Kizil
- Department of Neurology, Columbia University Irving Medical Center, New York, NY, USA
- Taub Institute for Research on Alzheimer's Disease and the Aging Brain, Columbia University Irving Medical Center, New York, NY, USA
- The Gertrude H. Sergievsky Center, College of Physicians and Surgeons, Columbia University, New York, NY, USA
| | - Mariet Allen
- Department of Neuroscience, Mayo Clinic, Jacksonville, FL, USA
| | - Nilüfer Ertekin-Taner
- Department of Neuroscience, Mayo Clinic, Jacksonville, FL, USA.
- Department of Neurology, Mayo Clinic, Jacksonville, FL, USA.
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19
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Bjerkan J, Kobal J, Lancaster G, Šešok S, Meglič B, McClintock PVE, Budohoski KP, Kirkpatrick PJ, Stefanovska A. The phase coherence of the neurovascular unit is reduced in Huntington's disease. Brain Commun 2024; 6:fcae166. [PMID: 38938620 PMCID: PMC11210076 DOI: 10.1093/braincomms/fcae166] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2023] [Revised: 03/07/2024] [Accepted: 05/09/2024] [Indexed: 06/29/2024] Open
Abstract
Huntington's disease is a neurodegenerative disorder in which neuronal death leads to chorea and cognitive decline. Individuals with ≥40 cytosine-adenine-guanine repeats on the interesting transcript 15 gene develop Huntington's disease due to a mutated huntingtin protein. While the associated structural and molecular changes are well characterized, the alterations in neurovascular function that lead to the symptoms are not yet fully understood. Recently, the neurovascular unit has gained attention as a key player in neurodegenerative diseases. The mutant huntingtin protein is known to be present in the major parts of the neurovascular unit in individuals with Huntington's disease. However, a non-invasive assessment of neurovascular unit function in Huntington's disease has not yet been performed. Here, we investigate neurovascular interactions in presymptomatic (N = 13) and symptomatic (N = 15) Huntington's disease participants compared to healthy controls (N = 36). To assess the dynamics of oxygen transport to the brain, functional near-infrared spectroscopy, ECG and respiration effort were recorded. Simultaneously, neuronal activity was assessed using EEG. The resultant time series were analysed using methods for discerning time-resolved multiscale dynamics, such as wavelet transform power and wavelet phase coherence. Neurovascular phase coherence in the interval around 0.1 Hz is significantly reduced in both Huntington's disease groups. The presymptomatic Huntington's disease group has a lower power of oxygenation oscillations compared to controls. The spatial coherence of the oxygenation oscillations is lower in the symptomatic Huntington's disease group compared to the controls. The EEG phase coherence, especially in the α band, is reduced in both Huntington's disease groups and, to a significantly greater extent, in the symptomatic group. Our results show a reduced efficiency of the neurovascular unit in Huntington's disease both in the presymptomatic and symptomatic stages of the disease. The vasculature is already significantly impaired in the presymptomatic stage of the disease, resulting in reduced cerebral blood flow control. The results indicate vascular remodelling, which is most likely a compensatory mechanism. In contrast, the declines in α and γ coherence indicate a gradual deterioration of neuronal activity. The results raise the question of whether functional changes in the vasculature precede the functional changes in neuronal activity, which requires further investigation. The observation of altered dynamics paves the way for a simple method to monitor the progression of Huntington's disease non-invasively and evaluate the efficacy of treatments.
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Affiliation(s)
- Juliane Bjerkan
- Department of Physics, Lancaster University, Lancaster LA1 4YB, UK
| | - Jan Kobal
- Department of Neurology, University Medical Centre, 1525 Ljubljana, Slovenia
| | - Gemma Lancaster
- Department of Physics, Lancaster University, Lancaster LA1 4YB, UK
| | - Sanja Šešok
- Department of Neurology, University Medical Centre, 1525 Ljubljana, Slovenia
| | - Bernard Meglič
- Department of Neurology, University Medical Centre, 1525 Ljubljana, Slovenia
| | | | - Karol P Budohoski
- Division of Neurosurgery, Department of Clinical Neurosciences, Addenbrooke's Hospital, University of Cambridge, Cambridge CB2 0QQ, UK
| | - Peter J Kirkpatrick
- Division of Neurosurgery, Department of Clinical Neurosciences, Addenbrooke's Hospital, University of Cambridge, Cambridge CB2 0QQ, UK
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20
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Wojtas AM, Dammer EB, Guo Q, Ping L, Shantaraman A, Duong DM, Yin L, Fox EJ, Seifar F, Lee EB, Johnson ECB, Lah JJ, Levey AI, Levites Y, Rangaraju S, Golde TE, Seyfried NT. Proteomic changes in the human cerebrovasculature in Alzheimer's disease and related tauopathies linked to peripheral biomarkers in plasma and cerebrospinal fluid. Alzheimers Dement 2024; 20:4043-4065. [PMID: 38713744 PMCID: PMC11180878 DOI: 10.1002/alz.13821] [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: 01/25/2024] [Revised: 02/21/2024] [Accepted: 03/02/2024] [Indexed: 05/09/2024]
Abstract
INTRODUCTION Cerebrovascular dysfunction is a pathological hallmark of Alzheimer's disease (AD). Nevertheless, detecting cerebrovascular changes within bulk tissues has limited our ability to characterize proteomic alterations from less abundant cell types. METHODS We conducted quantitative proteomics on bulk brain tissues and isolated cerebrovasculature from the same individuals, encompassing control (N = 28), progressive supranuclear palsy (PSP) (N = 18), and AD (N = 21) cases. RESULTS Protein co-expression network analysis identified unique cerebrovascular modules significantly correlated with amyloid plaques, cerebrovascular amyloid angiopathy (CAA), and/or tau pathology. The protein products within AD genetic risk loci were concentrated within cerebrovascular modules. The overlap between differentially abundant proteins in AD cerebrospinal fluid (CSF) and plasma with cerebrovascular network highlighted a significant increase of matrisome proteins, SMOC1 and SMOC2, in CSF, plasma, and brain. DISCUSSION These findings enhance our understanding of cerebrovascular deficits in AD, shedding light on potential biomarkers associated with CAA and vascular dysfunction in neurodegenerative diseases.
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Affiliation(s)
- Aleksandra M. Wojtas
- Department of BiochemistryEmory University School of MedicineAtlantaGeorgiaUSA
- Center for Neurodegenerative DiseaseEmory University School of MedicineAtlantaGeorgiaUSA
| | - Eric B. Dammer
- Department of BiochemistryEmory University School of MedicineAtlantaGeorgiaUSA
- Center for Neurodegenerative DiseaseEmory University School of MedicineAtlantaGeorgiaUSA
| | - Qi Guo
- Department of BiochemistryEmory University School of MedicineAtlantaGeorgiaUSA
- Center for Neurodegenerative DiseaseEmory University School of MedicineAtlantaGeorgiaUSA
| | - Lingyan Ping
- Department of BiochemistryEmory University School of MedicineAtlantaGeorgiaUSA
- Center for Neurodegenerative DiseaseEmory University School of MedicineAtlantaGeorgiaUSA
| | - Ananth Shantaraman
- Department of BiochemistryEmory University School of MedicineAtlantaGeorgiaUSA
- Center for Neurodegenerative DiseaseEmory University School of MedicineAtlantaGeorgiaUSA
| | - Duc M. Duong
- Department of BiochemistryEmory University School of MedicineAtlantaGeorgiaUSA
- Center for Neurodegenerative DiseaseEmory University School of MedicineAtlantaGeorgiaUSA
| | - Luming Yin
- Department of BiochemistryEmory University School of MedicineAtlantaGeorgiaUSA
- Center for Neurodegenerative DiseaseEmory University School of MedicineAtlantaGeorgiaUSA
| | - Edward J. Fox
- Department of BiochemistryEmory University School of MedicineAtlantaGeorgiaUSA
- Center for Neurodegenerative DiseaseEmory University School of MedicineAtlantaGeorgiaUSA
| | - Fatemeh Seifar
- Department of BiochemistryEmory University School of MedicineAtlantaGeorgiaUSA
- Center for Neurodegenerative DiseaseEmory University School of MedicineAtlantaGeorgiaUSA
| | - Edward B. Lee
- Department of Pathology and Laboratory MedicineUniversity of PennsylvaniaPennsylvaniaUSA
| | - Erik C. B. Johnson
- Center for Neurodegenerative DiseaseEmory University School of MedicineAtlantaGeorgiaUSA
- Department of NeurologyEmory University School of MedicineAtlantaGeorgiaUSA
| | - James J. Lah
- Center for Neurodegenerative DiseaseEmory University School of MedicineAtlantaGeorgiaUSA
- Department of NeurologyEmory University School of MedicineAtlantaGeorgiaUSA
| | - Allan I. Levey
- Department of BiochemistryEmory University School of MedicineAtlantaGeorgiaUSA
- Center for Neurodegenerative DiseaseEmory University School of MedicineAtlantaGeorgiaUSA
- Department of NeurologyEmory University School of MedicineAtlantaGeorgiaUSA
| | - Yona Levites
- Center for Neurodegenerative DiseaseEmory University School of MedicineAtlantaGeorgiaUSA
- Department of Pharmacology and Chemical BiologyEmory University School of MedicineAtlantaGeorgiaUSA
| | - Srikant Rangaraju
- Center for Neurodegenerative DiseaseEmory University School of MedicineAtlantaGeorgiaUSA
- Department of NeurologyEmory University School of MedicineAtlantaGeorgiaUSA
| | - Todd E. Golde
- Center for Neurodegenerative DiseaseEmory University School of MedicineAtlantaGeorgiaUSA
- Department of NeurologyEmory University School of MedicineAtlantaGeorgiaUSA
- Department of Pharmacology and Chemical BiologyEmory University School of MedicineAtlantaGeorgiaUSA
| | - Nicholas T. Seyfried
- Department of BiochemistryEmory University School of MedicineAtlantaGeorgiaUSA
- Center for Neurodegenerative DiseaseEmory University School of MedicineAtlantaGeorgiaUSA
- Department of NeurologyEmory University School of MedicineAtlantaGeorgiaUSA
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21
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Enström A, Carlsson R, Buizza C, Lewi M, Paul G. Pericyte-Specific Secretome Profiling in Hypoxia Using TurboID in a Multicellular in Vitro Spheroid Model. Mol Cell Proteomics 2024; 23:100782. [PMID: 38705386 PMCID: PMC11176767 DOI: 10.1016/j.mcpro.2024.100782] [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: 08/22/2023] [Revised: 04/09/2024] [Accepted: 05/02/2024] [Indexed: 05/07/2024] Open
Abstract
Cellular communication within the brain is imperative for maintaining homeostasis and mounting effective responses to pathological triggers like hypoxia. However, a comprehensive understanding of the precise composition and dynamic release of secreted molecules has remained elusive, confined primarily to investigations using isolated monocultures. To overcome these limitations, we utilized the potential of TurboID, a non-toxic biotin ligation enzyme, to capture and enrich secreted proteins specifically originating from human brain pericytes in spheroid cocultures with human endothelial cells and astrocytes. This approach allowed us to characterize the pericyte secretome within a more physiologically relevant multicellular setting encompassing the constituents of the blood-brain barrier. Through a combination of mass spectrometry and multiplex immunoassays, we identified a wide spectrum of different secreted proteins by pericytes. Our findings demonstrate that the pericytes secretome is profoundly shaped by their intercellular communication with other blood-brain barrier-residing cells. Moreover, we identified substantial differences in the secretory profiles between hypoxic and normoxic pericytes. Mass spectrometry analysis showed that hypoxic pericytes in coculture increase their release of signals related to protein secretion, mTOR signaling, and the complement system, while hypoxic pericytes in monocultures showed an upregulation in proliferative pathways including G2M checkpoints, E2F-, and Myc-targets. In addition, hypoxic pericytes show an upregulation of proangiogenic proteins such as VEGFA but display downregulation of canonical proinflammatory cytokines such as CXCL1, MCP-1, and CXCL6. Understanding the specific composition of secreted proteins in the multicellular brain microvasculature is crucial for advancing our knowledge of brain homeostasis and the mechanisms underlying pathology. This study has implications for the identification of targeted therapeutic strategies aimed at modulating microvascular signaling in brain pathologies associated with hypoxia.
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Affiliation(s)
- Andreas Enström
- Translational Neurology Group, Department of Clinical Science, Lund University, Lund, Sweden
| | - Robert Carlsson
- Translational Neurology Group, Department of Clinical Science, Lund University, Lund, Sweden
| | - Carolina Buizza
- Translational Neurology Group, Department of Clinical Science, Lund University, Lund, Sweden
| | - Marvel Lewi
- Translational Neurology Group, Department of Clinical Science, Lund University, Lund, Sweden
| | - Gesine Paul
- Translational Neurology Group, Department of Clinical Science, Lund University, Lund, Sweden; Department of Neurology, Scania University Hospital, Lund, Sweden; Wallenberg Centre for Molecular Medicine, Lund University, Lund, Sweden.
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22
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Deng YT, Wu BS, Yang L, He XY, Kang JJ, Liu WS, Li ZY, Wu XR, Zhang YR, Chen SD, Ge YJ, Huang YY, Feng JF, Zhu Y, Dong Q, Mao Y, Cheng W, Yu JT. Large-scale whole-exome sequencing of neuropsychiatric diseases and traits in 350,770 adults. Nat Hum Behav 2024; 8:1194-1208. [PMID: 38589703 DOI: 10.1038/s41562-024-01861-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2023] [Accepted: 03/11/2024] [Indexed: 04/10/2024]
Abstract
While numerous genomic loci have been identified for neuropsychiatric conditions, the contribution of protein-coding variants has yet to be determined. Here we conducted a large-scale whole-exome-sequencing study to interrogate the impact of protein-coding variants on 46 neuropsychiatric diseases and 23 traits in 350,770 adults from the UK Biobank. Twenty new genes were associated with neuropsychiatric diseases through coding variants, among which 16 genes had impacts on the longitudinal risks of diseases. Thirty new genes were associated with neuropsychiatric traits, with SYNGAP1 showing pleiotropic effects across cognitive function domains. Pairwise estimation of genetic correlations at the coding-variant level highlighted shared genetic associations among pairs of neurodegenerative diseases and mental disorders. Lastly, a comprehensive multi-omics analysis suggested that alterations in brain structures, blood proteins and inflammation potentially contribute to the gene-phenotype linkages. Overall, our findings characterized a compendium of protein-coding variants for future research on the biology and therapeutics of neuropsychiatric phenotypes.
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Affiliation(s)
- Yue-Ting Deng
- Department of Neurology and National Center for Neurological Disorders, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Shanghai Medical College, Fudan University, Shanghai, China
| | - Bang-Sheng Wu
- Department of Neurology and National Center for Neurological Disorders, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Shanghai Medical College, Fudan University, Shanghai, China
| | - Liu Yang
- Department of Neurology and National Center for Neurological Disorders, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Shanghai Medical College, Fudan University, Shanghai, China
| | - Xiao-Yu He
- Department of Neurology and National Center for Neurological Disorders, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Shanghai Medical College, Fudan University, Shanghai, China
| | - Ju-Jiao Kang
- Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China
- Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence, Fudan University, Ministry of Education, Shanghai, China
| | - Wei-Shi Liu
- Department of Neurology and National Center for Neurological Disorders, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Shanghai Medical College, Fudan University, Shanghai, China
| | - Ze-Yu Li
- Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China
- Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence, Fudan University, Ministry of Education, Shanghai, China
| | - Xin-Rui Wu
- Department of Neurology and National Center for Neurological Disorders, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Shanghai Medical College, Fudan University, Shanghai, China
| | - Ya-Ru Zhang
- Department of Neurology and National Center for Neurological Disorders, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Shanghai Medical College, Fudan University, Shanghai, China
| | - Shi-Dong Chen
- Department of Neurology and National Center for Neurological Disorders, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Shanghai Medical College, Fudan University, Shanghai, China
| | - Yi-Jun Ge
- Department of Neurology and National Center for Neurological Disorders, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Shanghai Medical College, Fudan University, Shanghai, China
| | - Yu-Yuan Huang
- Department of Neurology and National Center for Neurological Disorders, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Shanghai Medical College, Fudan University, Shanghai, China
| | - Jian-Feng Feng
- Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China
- Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence, Fudan University, Ministry of Education, Shanghai, China
- Department of Computer Science, University of Warwick, Coventry, UK
| | - Ying Zhu
- Institutes of Brain Science, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Fudan University, Shanghai, China
| | - Qiang Dong
- Department of Neurology and National Center for Neurological Disorders, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Shanghai Medical College, Fudan University, Shanghai, China
| | - Ying Mao
- Department of Neurosurgery, Huashan Hospital Fudan University, Shanghai, China
| | - Wei Cheng
- Department of Neurology and National Center for Neurological Disorders, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Shanghai Medical College, Fudan University, Shanghai, China.
- Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China.
- Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence, Fudan University, Ministry of Education, Shanghai, China.
- Fudan ISTBI-ZJNU Algorithm Centre for Brain-inspired Intelligence, Zhejiang Normal University, Zhejiang, China.
| | - Jin-Tai Yu
- Department of Neurology and National Center for Neurological Disorders, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Shanghai Medical College, Fudan University, Shanghai, China.
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23
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Tung YT, Chen YC, Derr K, Wilson K, Song MJ, Ferrer M. A 3D Bioprinted Human Neurovascular Unit Model of Glioblastoma Tumor Growth. Adv Healthc Mater 2024; 13:e2302831. [PMID: 38394389 PMCID: PMC11176035 DOI: 10.1002/adhm.202302831] [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: 10/01/2023] [Revised: 01/29/2024] [Indexed: 02/25/2024]
Abstract
A 3D bioprinted neurovascular unit (NVU) model is developed to study glioblastoma (GBM) tumor growth in a brain-like microenvironment. The NVU model includes human primary astrocytes, pericytes and brain microvascular endothelial cells, and patient-derived glioblastoma cells (JHH-520) are used for this study. Fluorescence reporters are used with confocal high content imaging to quantitate real-time microvascular network formation and tumor growth. Extensive validation of the NVU-GBM model includes immunostaining for brain relevant cellular markers and extracellular matrix components; single cell RNA sequencing (scRNAseq) to establish physiologically relevant transcriptomics changes; and secretion of NVU and GBM-relevant cytokines. The scRNAseq reveals changes in gene expression and cytokines secretion associated with wound healing/angiogenesis, including the appearance of an endothelial mesenchymal transition cell population. The NVU-GBM model is used to test 18 chemotherapeutics and anti-cancer drugs to assess the pharmacological relevance of the model and robustness for high throughput screening.
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Affiliation(s)
- Yen-Ting Tung
- National Center for Advancing Translational Sciences (NCATS), National Institutes of Health (NIH), Rockville, MD, 20850, USA
| | - Yu-Chi Chen
- National Center for Advancing Translational Sciences (NCATS), National Institutes of Health (NIH), Rockville, MD, 20850, USA
| | - Kristy Derr
- National Center for Advancing Translational Sciences (NCATS), National Institutes of Health (NIH), Rockville, MD, 20850, USA
| | - Kelli Wilson
- National Center for Advancing Translational Sciences (NCATS), National Institutes of Health (NIH), Rockville, MD, 20850, USA
| | - Min Jae Song
- National Center for Advancing Translational Sciences (NCATS), National Institutes of Health (NIH), Rockville, MD, 20850, USA
| | - Marc Ferrer
- National Center for Advancing Translational Sciences (NCATS), National Institutes of Health (NIH), Rockville, MD, 20850, USA
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24
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Kurtyka M, Wessely F, Bau S, Ifie E, He L, de Wit NM, Pedersen ABV, Keller M, Webber C, de Vries HE, Ansorge O, Betsholtz C, De Bock M, Chaves C, Brodin B, Nielsen MS, Neuhaus W, Bell RD, Letoha T, Meyer AH, Leparc G, Lenter M, Lesuisse D, Cader ZM, Buckley ST, Loryan I, Pietrzik CU. The solute carrier SLC7A1 may act as a protein transporter at the blood-brain barrier. Eur J Cell Biol 2024; 103:151406. [PMID: 38547677 DOI: 10.1016/j.ejcb.2024.151406] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2023] [Revised: 03/02/2024] [Accepted: 03/20/2024] [Indexed: 06/29/2024] Open
Abstract
Despite extensive research, targeted delivery of substances to the brain still poses a great challenge due to the selectivity of the blood-brain barrier (BBB). Most molecules require either carrier- or receptor-mediated transport systems to reach the central nervous system (CNS). These transport systems form attractive routes for the delivery of therapeutics into the CNS, yet the number of known brain endothelium-enriched receptors allowing the transport of large molecules into the brain is scarce. Therefore, to identify novel BBB targets, we combined transcriptomic analysis of human and murine brain endothelium and performed a complex screening of BBB-enriched genes according to established selection criteria. As a result, we propose the high-affinity cationic amino acid transporter 1 (SLC7A1) as a novel candidate for transport of large molecules across the BBB. Using RNA sequencing and in situ hybridization assays, we demonstrated elevated SLC7A1 gene expression in both human and mouse brain endothelium. Moreover, we confirmed SLC7A1 protein expression in brain vasculature of both young and aged mice. To assess the potential of SLC7A1 as a transporter for larger proteins, we performed internalization and transcytosis studies using a radiolabelled or fluorophore-labelled anti-SLC7A1 antibody. Our results showed that SLC7A1 internalised a SLC7A1-specific antibody in human colorectal carcinoma (HCT116) cells. Moreover, transcytosis studies in both immortalised human brain endothelial (hCMEC/D3) cells and primary mouse brain endothelial cells clearly demonstrated that SLC7A1 effectively transported the SLC7A1-specific antibody from luminal to abluminal side. Therefore, here in this study, we present for the first time the SLC7A1 as a novel candidate for transport of larger molecules across the BBB.
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Affiliation(s)
- Magdalena Kurtyka
- Institute for Pathobiochemistry, University Medical Center Mainz, Mainz, Germany
| | - Frank Wessely
- UK Dementia Research Institute, Cardiff University, Cardiff, United Kingdom
| | - Sarah Bau
- Pathology & Imaging, Novo Nordisk A/S, Måløv, Denmark
| | - Eseoghene Ifie
- Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, United Kingdom
| | - Liqun He
- Department of Immunology, Genetics and Pathology, Rudbeck Laboratory, Uppsala University, Uppsala, Sweden
| | - Nienke M de Wit
- Amsterdam UMC location Vrije Universiteit Amsterdam, Department of Molecular Cell Biology and Immunology, Amsterdam, the Netherlands; Amsterdam Neuroscience, Amsterdam, the Netherlands
| | | | - Maximilian Keller
- Institute for Pathobiochemistry, University Medical Center Mainz, Mainz, Germany
| | - Caleb Webber
- UK Dementia Research Institute, Cardiff University, Cardiff, United Kingdom
| | - Helga E de Vries
- Amsterdam UMC location Vrije Universiteit Amsterdam, Department of Molecular Cell Biology and Immunology, Amsterdam, the Netherlands; Amsterdam Neuroscience, Amsterdam, the Netherlands
| | - Olaf Ansorge
- Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, United Kingdom
| | - Christer Betsholtz
- Department of Immunology, Genetics and Pathology, Rudbeck Laboratory, Uppsala University, Uppsala, Sweden; Department of Medicine (Huddinge), Karolinska Institutet, Huddinge, Sweden
| | - Marijke De Bock
- Neuroscience Discovery, Janssen Research & Development, Janssen Pharmaceutica, Beerse, Belgium
| | - Catarina Chaves
- Rare and Neurologic Diseases Research Therapeutic Area, Sanofi, Chilly Mazarin, France
| | - Birger Brodin
- Department of Pharmacy, University of Copenhagen, Copenhagen, Denmark
| | - Morten S Nielsen
- Department of Biomedicine, Faculty of Health, Aarhus University, Aarhus, Denmark
| | - Winfried Neuhaus
- Austrian Institute of Technology GmbH, Vienna, Austria; Department of Medicine, Faculty of Medicine and Dentistry, Danube Private University, Krems, Austria
| | | | | | - Axel H Meyer
- AbbVie Deutschland GmbH & Co. KG, Quantitative, Translational & ADME Sciences, Ludwigshafen, Germany
| | - Germán Leparc
- Boehringer Ingelheim Pharma GmbH & Co. KG, Translational Medicine & Clinical Pharmacology, Biberach, Germany
| | - Martin Lenter
- Boehringer Ingelheim Pharma GmbH & Co. KG, Drug Discovery Sciences, Biberach, Germany
| | - Dominique Lesuisse
- Rare and Neurologic Diseases Research Therapeutic Area, Sanofi, Chilly Mazarin, France
| | - Zameel M Cader
- Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, United Kingdom
| | | | - Irena Loryan
- Department of Pharmacy, Uppsala University, Uppsala, Sweden
| | - Claus U Pietrzik
- Institute for Pathobiochemistry, University Medical Center Mainz, Mainz, Germany.
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25
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Matsui Y, Togayachi A, Sakamoto K, Angata K, Kadomatsu K, Nishihara S. Integrated Systems Analysis Deciphers Transcriptome and Glycoproteome Links in Alzheimer's Disease. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2023.12.25.573290. [PMID: 38234803 PMCID: PMC10793412 DOI: 10.1101/2023.12.25.573290] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/19/2024]
Abstract
Glycosylation is increasingly recognized as a potential therapeutic target in Alzheimer's disease. In recent years, evidence of Alzheimer's disease-specific glycoproteins has been established. However, the mechanisms underlying their dysregulation, including tissue- and cell-type specificity, are not fully understood. We aimed to explore the upstream regulators of aberrant glycosylation by integrating multiple data sources using a glycogenomics approach. We identified dysregulation of the glycosyltransferase PLOD3 in oligodendrocytes as an upstream regulator of cerebral vessels and found that it is involved in COL4A5 synthesis, which is strongly correlated with amyloid fiber formation. Furthermore, COL4A5 has been suggested to interact with astrocytes via extracellular matrix receptors as a ligand. This study suggests directions for new therapeutic strategies for Alzheimer's disease targeting glycosyltransferases.
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Affiliation(s)
- Yusuke Matsui
- Institute for Glyco-core Research (iGCORE), Nagoya University, Furo-cho, Chikusa-ku, Nagoya 464-8601, Japan
- Biomedical and Health Informatics Unit, Department of Integrated Health Science, Nagoya University Graduate School of Medicine, Daiko-minami, Higashi-ku, Nagoya, 461-8673, Japan
| | - Akira Togayachi
- Glycan and Life Systems Integration Center (GaLSIC), Soka University, 1-236 Tangi-machi, Hachioji, Tokyo 192-8577, Japan
| | - Kazuma Sakamoto
- Institute for Glyco-core Research (iGCORE), Nagoya University, Furo-cho, Chikusa-ku, Nagoya 464-8601, Japan
- Department of Biochemistry, Nagoya University Graduate School of Medicine, Tsurumai-cho, Showa-ku, Nagoya, 466-8550, Japan
| | - Kiyohiko Angata
- Glycan and Life Systems Integration Center (GaLSIC), Soka University, 1-236 Tangi-machi, Hachioji, Tokyo 192-8577, Japan
| | - Kenji Kadomatsu
- Institute for Glyco-core Research (iGCORE), Nagoya University, Furo-cho, Chikusa-ku, Nagoya 464-8601, Japan
- Department of Biochemistry, Nagoya University Graduate School of Medicine, Tsurumai-cho, Showa-ku, Nagoya, 466-8550, Japan
| | - Shoko Nishihara
- Glycan and Life Systems Integration Center (GaLSIC), Soka University, 1-236 Tangi-machi, Hachioji, Tokyo 192-8577, Japan
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26
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Rajput P, Brookshier A, Kothari S, Eckstein L, Chang H, Liska S, Lamb J, Sances S, Lyden P. Differential Vulnerability and Response to Injury among Brain Cell Types Comprising the Neurovascular Unit. J Neurosci 2024; 44:e1093222024. [PMID: 38548341 PMCID: PMC11140689 DOI: 10.1523/jneurosci.1093-22.2024] [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: 05/21/2022] [Revised: 02/29/2024] [Accepted: 03/11/2024] [Indexed: 05/31/2024] Open
Abstract
The neurovascular unit (NVU) includes multiple different cell types, including neurons, astrocytes, endothelial cells, and pericytes, which respond to insults on very different time or dose scales. We defined differential vulnerability among these cell types, using response to two different insults: oxygen-glucose deprivation (OGD) and thrombin-mediated cytotoxicity. We found that neurons are most vulnerable, followed by endothelial cells and astrocytes. After temporary focal cerebral ischemia in male rats, we found significantly more injured neurons, compared with astrocytes in the ischemic area, consistent with differential vulnerability in vivo. We sought to illustrate different and shared mechanisms across all cell types during response to insult. We found that gene expression profiles in response to OGD differed among the cell types, with a paucity of gene responses shared by all types. All cell types activated genes relating to autophagy, apoptosis, and necroptosis, but the specific genes differed. Astrocytes and endothelial cells also activated pathways connected to DNA repair and antiapoptosis. Taken together, the data support the concept of differential vulnerability in the NVU and suggest that different elements of the unit will evolve from salvageable to irretrievable on different time scales while residing in the same brain region and receiving the same (ischemic) blood flow. Future work will focus on the mechanisms of these differences. These data suggest future stroke therapy development should target different elements of the NVU differently.
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Affiliation(s)
- Padmesh Rajput
- Department of Physiology and Neuroscience, Zilkha Neurogenetic Institute, Keck School of Medicine of USC, Los Angeles, California 90089-2821
| | - Allison Brookshier
- Department of Physiology and Neuroscience, Zilkha Neurogenetic Institute, Keck School of Medicine of USC, Los Angeles, California 90089-2821
| | - Shweta Kothari
- Chinook Therapeutics, Inc., Vancouver, British Columbia V5T 4T5, Canada
- Cedars-Sinai Medical Center, Los Angeles, California 90048
| | - Lillie Eckstein
- Department of Physiology and Neuroscience, Zilkha Neurogenetic Institute, Keck School of Medicine of USC, Los Angeles, California 90089-2821
| | - Heather Chang
- Department of Physiology and Neuroscience, Zilkha Neurogenetic Institute, Keck School of Medicine of USC, Los Angeles, California 90089-2821
| | - Sophie Liska
- Department of Physiology and Neuroscience, Zilkha Neurogenetic Institute, Keck School of Medicine of USC, Los Angeles, California 90089-2821
| | - Jessica Lamb
- Department of Physiology and Neuroscience, Zilkha Neurogenetic Institute, Keck School of Medicine of USC, Los Angeles, California 90089-2821
| | - Samuel Sances
- Cedars-Sinai Medical Center, Los Angeles, California 90048
| | - Patrick Lyden
- Department of Physiology and Neuroscience, Zilkha Neurogenetic Institute, Keck School of Medicine of USC, Los Angeles, California 90089-2821
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27
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Buonfiglioli A, Kübler R, Missall R, De Jong R, Chan S, Haage V, Wendt S, Lin AJ, Mattei D, Graziani M, Latour B, Gigase F, Nygaard HB, De Jager PL, De Witte LD. A microglia-containing cerebral organoid model to study early life immune challenges. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.05.24.595814. [PMID: 38826204 PMCID: PMC11142229 DOI: 10.1101/2024.05.24.595814] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/04/2024]
Abstract
Prenatal infections and activation of the maternal immune system have been proposed to contribute to causing neurodevelopmental disorders (NDDs), chronic conditions often linked to brain abnormalities. Microglia are the resident immune cells of the brain and play a key role in neurodevelopment. Disruption of microglial functions can lead to brain abnormalities and increase the risk of developing NDDs. How the maternal as well as the fetal immune system affect human neurodevelopment and contribute to NDDs remains unclear. An important reason for this knowledge gap is the fact that the impact of exposure to prenatal risk factors has been challenging to study in the human context. Here, we characterized a model of cerebral organoids (CO) with integrated microglia (COiMg). These organoids express typical microglial markers and respond to inflammatory stimuli. The presence of microglia influences cerebral organoid development, including cell density and neural differentiation, and regulates the expression of several ciliated mesenchymal cell markers. Moreover, COiMg and organoids without microglia show similar but also distinct responses to inflammatory stimuli. Additionally, IFN-γ induced significant transcriptional and structural changes in the cerebral organoids, that appear to be regulated by the presence of microglia. Specifically, interferon-gamma (IFN-γ) was found to alter the expression of genes linked to autism. This model provides a valuable tool to study how inflammatory perturbations and microglial presence affect neurodevelopmental processes.
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Affiliation(s)
- Alice Buonfiglioli
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
| | - Raphael Kübler
- Nash Family Department of Neuroscience & Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Human Genetics, Radboud UMC, Nijmegen, The Netherlands
| | - Roy Missall
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
| | - Renske De Jong
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
| | - Stephanie Chan
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
| | - Verena Haage
- Center for Translational & Computational Neuroimmunology, Department of Neurology and the Taub Institute for Research on Alzheimer’s Disease and the Aging Brain, Columbia University Irving Medical Center, New York, NY, USA
| | - Stefan Wendt
- Department of Psychiatry, Djavad Mowafaghian Centre for Brain Health, University of British Columbia, Vancouver, V6T 1Z3, Canada
| | - Ada J. Lin
- Division of Neurology, Djavad Mowafaghian Centre for Brain Health, University of British Columbia, Vancouver, V6T 1Z3, Canada
| | - Daniele Mattei
- Nash Family Department of Neuroscience & Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Mara Graziani
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
- Department of Human Genetics, Radboud UMC, Nijmegen, The Netherlands
- Donders Institute for Brain, Cognition and Behaviour, 6500 HB, Nijmegen, The Netherlands
| | - Brooke Latour
- Department of Human Genetics, Radboud UMC, Nijmegen, The Netherlands
- Donders Institute for Brain, Cognition and Behaviour, 6500 HB, Nijmegen, The Netherlands
| | - Frederieke Gigase
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
| | - Haakon B. Nygaard
- Division of Neurology, Djavad Mowafaghian Centre for Brain Health, University of British Columbia, Vancouver, V6T 1Z3, Canada
| | - Philip L. De Jager
- Center for Translational & Computational Neuroimmunology, Department of Neurology and the Taub Institute for Research on Alzheimer’s Disease and the Aging Brain, Columbia University Irving Medical Center, New York, NY, USA
| | - Lot D. De Witte
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
- Department of Human Genetics, Radboud UMC, Nijmegen, The Netherlands
- Donders Institute for Brain, Cognition and Behaviour, 6500 HB, Nijmegen, The Netherlands
- Department of Psychiatry, Radboud UMC, Nijmegen, The Netherlands
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28
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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.
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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.
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29
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Sullivan JM, Bagnell AM, Alevy J, Avila EM, Mihaljević L, Saavedra-Rivera PC, Kong L, Huh JS, McCray BA, Aisenberg WH, Zuberi AR, Bogdanik L, Lutz CM, Qiu Z, Quinlan KA, Searson PC, Sumner CJ. Gain-of-function mutations of TRPV4 acting in endothelial cells drive blood-CNS barrier breakdown and motor neuron degeneration in mice. Sci Transl Med 2024; 16:eadk1358. [PMID: 38776392 PMCID: PMC11316273 DOI: 10.1126/scitranslmed.adk1358] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2023] [Accepted: 05/01/2024] [Indexed: 05/25/2024]
Abstract
Blood-CNS barrier disruption is a hallmark of numerous neurological disorders, yet whether barrier breakdown is sufficient to trigger neurodegenerative disease remains unresolved. Therapeutic strategies to mitigate barrier hyperpermeability are also limited. Dominant missense mutations of the cation channel transient receptor potential vanilloid 4 (TRPV4) cause forms of hereditary motor neuron disease. To gain insights into the cellular basis of these disorders, we generated knock-in mouse models of TRPV4 channelopathy by introducing two disease-causing mutations (R269C and R232C) into the endogenous mouse Trpv4 gene. TRPV4 mutant mice exhibited weakness, early lethality, and regional motor neuron loss. Genetic deletion of the mutant Trpv4 allele from endothelial cells (but not neurons, glia, or muscle) rescued these phenotypes. Symptomatic mutant mice exhibited focal disruptions of blood-spinal cord barrier (BSCB) integrity, associated with a gain of function of mutant TRPV4 channel activity in neural vascular endothelial cells (NVECs) and alterations of NVEC tight junction structure. Systemic administration of a TRPV4-specific antagonist abrogated channel-mediated BSCB impairments and provided a marked phenotypic rescue of symptomatic mutant mice. Together, our findings show that mutant TRPV4 channels can drive motor neuron degeneration in a non-cell autonomous manner by precipitating focal breakdown of the BSCB. Further, these data highlight the reversibility of TRPV4-mediated BSCB impairments and identify a potential therapeutic strategy for patients with TRPV4 mutations.
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Affiliation(s)
- Jeremy M. Sullivan
- Department of Neurology, Johns Hopkins University School of Medicine; Baltimore, MD 21205, USA
| | - Anna M. Bagnell
- Department of Neurology, Johns Hopkins University School of Medicine; Baltimore, MD 21205, USA
| | - Jonathan Alevy
- Solomon H. Snyder Department of Neuroscience, Johns Hopkins University School of Medicine; Baltimore, MD 21205, USA
| | - Elvia Mena Avila
- George and Anne Ryan Institute for Neuroscience, University of Rhode Island; Kingston, RI 02881, USA
- Department of Biomedical and Pharmaceutical Sciences, College of Pharmacy, University of Rhode Island; Kingston, RI 02881, USA
| | - Ljubica Mihaljević
- Department of Physiology, Johns Hopkins University School of Medicine; Baltimore, MD 21205, USA
| | | | - Lingling Kong
- Department of Neurology, Johns Hopkins University School of Medicine; Baltimore, MD 21205, USA
| | - Jennifer S. Huh
- Department of Neurology, Johns Hopkins University School of Medicine; Baltimore, MD 21205, USA
| | - Brett A. McCray
- Department of Neurology, Johns Hopkins University School of Medicine; Baltimore, MD 21205, USA
| | - William H. Aisenberg
- Department of Neurology, Johns Hopkins University School of Medicine; Baltimore, MD 21205, USA
| | | | | | | | - Zhaozhu Qiu
- Solomon H. Snyder Department of Neuroscience, Johns Hopkins University School of Medicine; Baltimore, MD 21205, USA
- Department of Physiology, Johns Hopkins University School of Medicine; Baltimore, MD 21205, USA
| | - Katharina A. Quinlan
- George and Anne Ryan Institute for Neuroscience, University of Rhode Island; Kingston, RI 02881, USA
- Department of Biomedical and Pharmaceutical Sciences, College of Pharmacy, University of Rhode Island; Kingston, RI 02881, USA
| | - Peter C. Searson
- Institute for Nanobiotechnology, Johns Hopkins University; Baltimore, MD 21218, USA
- Department of Biomedical Engineering, Johns Hopkins University; Baltimore, MD 21218, USA
- Department of Materials Science and Engineering, Johns Hopkins University; Baltimore, MD 21218, USA
| | - Charlotte J. Sumner
- Department of Neurology, Johns Hopkins University School of Medicine; Baltimore, MD 21205, USA
- Solomon H. Snyder Department of Neuroscience, Johns Hopkins University School of Medicine; Baltimore, MD 21205, USA
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30
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Porkoláb G, Mészáros M, Szecskó A, Vigh JP, Walter FR, Figueiredo R, Kálomista I, Hoyk Z, Vizsnyiczai G, Gróf I, Jan JS, Gosselet F, Pirity MK, Vastag M, Hudson N, Campbell M, Veszelka S, Deli MA. Synergistic induction of blood-brain barrier properties. Proc Natl Acad Sci U S A 2024; 121:e2316006121. [PMID: 38748577 PMCID: PMC11126970 DOI: 10.1073/pnas.2316006121] [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: 09/14/2023] [Accepted: 04/05/2024] [Indexed: 05/27/2024] Open
Abstract
Blood-brain barrier (BBB) models derived from human stem cells are powerful tools to improve our understanding of cerebrovascular diseases and to facilitate drug development for the human brain. Yet providing stem cell-derived endothelial cells with the right signaling cues to acquire BBB characteristics while also retaining their vascular identity remains challenging. Here, we show that the simultaneous activation of cyclic AMP and Wnt/β-catenin signaling and inhibition of the TGF-β pathway in endothelial cells robustly induce BBB properties in vitro. To target this interaction, we present a small-molecule cocktail named cARLA, which synergistically enhances barrier tightness in a range of BBB models across species. Mechanistically, we reveal that the three pathways converge on Wnt/β-catenin signaling to mediate the effect of cARLA via the tight junction protein claudin-5. We demonstrate that cARLA shifts the gene expressional profile of human stem cell-derived endothelial cells toward the in vivo brain endothelial signature, with a higher glycocalyx density and efflux pump activity, lower rates of endocytosis, and a characteristic endothelial response to proinflammatory cytokines. Finally, we illustrate how cARLA can improve the predictive value of human BBB models regarding the brain penetration of drugs and targeted nanoparticles. Due to its synergistic effect, high reproducibility, and ease of use, cARLA has the potential to advance drug development for the human brain by improving BBB models across laboratories.
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Affiliation(s)
- Gergő Porkoláb
- Institute of Biophysics, Biological Research Centre, Hungarian Research Network, SzegedH-6726, Hungary
- Doctoral School of Biology, University of Szeged, SzegedH-6720, Hungary
| | - Mária Mészáros
- Institute of Biophysics, Biological Research Centre, Hungarian Research Network, SzegedH-6726, Hungary
| | - Anikó Szecskó
- Institute of Biophysics, Biological Research Centre, Hungarian Research Network, SzegedH-6726, Hungary
- Doctoral School of Biology, University of Szeged, SzegedH-6720, Hungary
| | - Judit P. Vigh
- Institute of Biophysics, Biological Research Centre, Hungarian Research Network, SzegedH-6726, Hungary
- Doctoral School of Biology, University of Szeged, SzegedH-6720, Hungary
| | - Fruzsina R. Walter
- Institute of Biophysics, Biological Research Centre, Hungarian Research Network, SzegedH-6726, Hungary
| | | | - Ildikó Kálomista
- In Vitro Metabolism Laboratory, Gedeon Richter, BudapestH-1103, Hungary
| | - Zsófia Hoyk
- Institute of Biophysics, Biological Research Centre, Hungarian Research Network, SzegedH-6726, Hungary
| | - Gaszton Vizsnyiczai
- Institute of Biophysics, Biological Research Centre, Hungarian Research Network, SzegedH-6726, Hungary
| | - Ilona Gróf
- Institute of Biophysics, Biological Research Centre, Hungarian Research Network, SzegedH-6726, Hungary
| | - Jeng-Shiung Jan
- Department of Chemical Engineering, National Cheng Kung University, Tainan70101, Taiwan
| | - Fabien Gosselet
- Laboratoire de la Barriére Hémato-Encéphalique, Université d’Artois, Lens62307, France
| | - Melinda K. Pirity
- Institute of Genetics, Biological Research Centre, Hungarian Research Network, SzegedH-6726, Hungary
| | - Monika Vastag
- In Vitro Metabolism Laboratory, Gedeon Richter, BudapestH-1103, Hungary
| | - Natalie Hudson
- Smurfit Institute of Genetics, Trinity College Dublin, DublinD02 VF25, Ireland
| | - Matthew Campbell
- Smurfit Institute of Genetics, Trinity College Dublin, DublinD02 VF25, Ireland
| | - Szilvia Veszelka
- Institute of Biophysics, Biological Research Centre, Hungarian Research Network, SzegedH-6726, Hungary
| | - Mária A. Deli
- Institute of Biophysics, Biological Research Centre, Hungarian Research Network, SzegedH-6726, Hungary
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31
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Dobner S, Tóth F, de Rooij LPMH. A high-resolution view of the heterogeneous aging endothelium. Angiogenesis 2024; 27:129-145. [PMID: 38324119 PMCID: PMC11021252 DOI: 10.1007/s10456-023-09904-6] [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: 08/21/2023] [Accepted: 12/28/2023] [Indexed: 02/08/2024]
Abstract
Vascular endothelial cell (EC) aging has a strong impact on tissue perfusion and overall cardiovascular health. While studies confined to the investigation of aging-associated vascular readouts in one or a few tissues have already drastically expanded our understanding of EC aging, single-cell omics and other high-resolution profiling technologies have started to illuminate the intricate molecular changes underlying endothelial aging across diverse tissues and vascular beds at scale. In this review, we provide an overview of recent insights into the heterogeneous adaptations of the aging vascular endothelium. We address critical questions regarding tissue-specific and universal responses of the endothelium to the aging process, EC turnover dynamics throughout lifespan, and the differential susceptibility of ECs to acquiring aging-associated traits. In doing so, we underscore the transformative potential of single-cell approaches in advancing our comprehension of endothelial aging, essential to foster the development of future innovative therapeutic strategies for aging-associated vascular conditions.
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Affiliation(s)
- Sarah Dobner
- The CeMM Research Center for Molecular Medicine of the Austrian Academy of Sciences, Vienna, Austria
| | - Fanni Tóth
- The CeMM Research Center for Molecular Medicine of the Austrian Academy of Sciences, Vienna, Austria
| | - Laura P M H de Rooij
- The CeMM Research Center for Molecular Medicine of the Austrian Academy of Sciences, Vienna, Austria.
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32
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Katdare KA, Kjar A, O’Brown NM, Neal EH, Sorets AG, Shostak A, Romero-Fernandez W, Kwiatkowski AJ, Mlouk K, Kim H, Cowell RP, Schwensen KR, Horner KB, Wilson JT, Schrag MS, Megason SG, Lippmann ES. IQGAP2 regulates blood-brain barrier immune dynamics. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2023.02.07.527394. [PMID: 38645082 PMCID: PMC11030232 DOI: 10.1101/2023.02.07.527394] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/23/2024]
Abstract
Brain endothelial cells (BECs) play an important role in maintaining central nervous system (CNS) homeostasis through blood-brain barrier (BBB) functions. BECs express low baseline levels of adhesion receptors, which limits entry of leukocytes. However, the molecular mediators governing this phenotype remain mostly unclear. Here, we explored how infiltration of immune cells across the BBB is influenced by the scaffold protein IQ motif containing GTPase activating protein 2 (IQGAP2). In mice and zebrafish, we demonstrate that loss of Iqgap2 increases infiltration of peripheral leukocytes into the CNS under homeostatic and inflammatory conditions. Using single-cell RNA sequencing and immunohistology, we further show that BECs from mice lacking Iqgap2 exhibit a profound inflammatory signature, including extensive upregulation of adhesion receptors and antigen-processing machinery. Human tissue analyses also reveal that Alzheimer's disease is associated with reduced hippocampal IQGAP2. Overall, our results implicate IQGAP2 as an essential regulator of BBB immune privilege and immune cell entry into the CNS.
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Affiliation(s)
- Ketaki A. Katdare
- Vanderbilt Brain Institute, Vanderbilt University, Nashville, TN, USA
| | - Andrew Kjar
- Department of Biomedical Engineering, Vanderbilt University, Nashville, TN, USA
| | | | - Emma H. Neal
- Department of Chemical and Biomolecular Engineering, Vanderbilt University, Nashville, TN, USA
| | - Alexander G. Sorets
- Department of Biomedical Engineering, Vanderbilt University, Nashville, TN, USA
| | - Alena Shostak
- Department of Neurology, Vanderbilt University Medical Center, Nashville, TN, USA
| | | | | | - Kate Mlouk
- Department of Chemical and Biomolecular Engineering, Vanderbilt University, Nashville, TN, USA
| | - Hyosung Kim
- Department of Chemical and Biomolecular Engineering, Vanderbilt University, Nashville, TN, USA
| | - Rebecca P. Cowell
- Department of Chemical and Biomolecular Engineering, Vanderbilt University, Nashville, TN, USA
| | - Katrina R. Schwensen
- Department of Chemical and Biomolecular Engineering, Vanderbilt University, Nashville, TN, USA
| | - Kensley B. Horner
- Department of Chemical and Biomolecular Engineering, Vanderbilt University, Nashville, TN, USA
| | - John T. Wilson
- Department of Biomedical Engineering, Vanderbilt University, Nashville, TN, USA
- Department of Chemical and Biomolecular Engineering, Vanderbilt University, Nashville, TN, USA
| | - Matthew S. Schrag
- Vanderbilt Brain Institute, Vanderbilt University, Nashville, TN, USA
- Department of Neurology, Vanderbilt University Medical Center, Nashville, TN, USA
- Vanderbilt Memory and Alzheimer’s Center, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Sean G. Megason
- Department of Systems Biology, Harvard Medical School, Boston, MA, USA
| | - Ethan S. Lippmann
- Vanderbilt Brain Institute, Vanderbilt University, Nashville, TN, USA
- Department of Biomedical Engineering, Vanderbilt University, Nashville, TN, USA
- Department of Chemical and Biomolecular Engineering, Vanderbilt University, Nashville, TN, USA
- Department of Neurology, Vanderbilt University Medical Center, Nashville, TN, USA
- Vanderbilt Memory and Alzheimer’s Center, Vanderbilt University Medical Center, Nashville, TN, USA
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Wasielewska JM, Szostak K, McInnes LE, Quek H, Chaves JCS, Liddell JR, Koistinaho J, Oikari LE, Donnelly PS, White AR. Patient-Derived Blood-Brain Barrier Model for Screening Copper Bis(thiosemicarbazone) Complexes as Potential Therapeutics in Alzheimer's Disease. ACS Chem Neurosci 2024; 15:1432-1455. [PMID: 38477556 DOI: 10.1021/acschemneuro.3c00743] [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: 03/14/2024] Open
Abstract
Alzheimer's disease (AD) is the most prevalent cause of dementia characterized by a progressive cognitive decline. Addressing neuroinflammation represents a promising therapeutic avenue to treat AD; however, the development of effective antineuroinflammatory compounds is often hindered by their limited blood-brain barrier (BBB) permeability. Consequently, there is an urgent need for accurate, preclinical AD patient-specific BBB models to facilitate the early identification of immunomodulatory drugs capable of efficiently crossing the human AD BBB. This study presents a unique approach to BBB drug permeability screening as it utilizes the familial AD patient-derived induced brain endothelial-like cell (iBEC)-based model, which exhibits increased disease relevance and serves as an improved BBB drug permeability assessment tool when compared to traditionally employed in vitro models. To demonstrate its utility as a small molecule drug candidate screening platform, we investigated the effects of diacetylbis(N(4)-methylthiosemicarbazonato)copper(II) (CuII(atsm)) and a library of metal bis(thiosemicarbazone) complexes─a class of compounds exhibiting antineuroinflammatory therapeutic potential in neurodegenerative disorders. By evaluating the toxicity, cellular accumulation, and permeability of those compounds in the AD patient-derived iBEC, we have identified 3,4-hexanedione bis(N(4)-methylthiosemicarbazonato)copper(II) (CuII(dtsm)) as a candidate with good transport across the AD BBB. Furthermore, we have developed a multiplex approach where AD patient-derived iBEC were combined with immune modulators TNFα and IFNγ to establish an in vitro model representing the characteristic neuroinflammatory phenotype at the patient's BBB. Here, we observed that treatment with CuII(dtsm) not only reduced the expression of proinflammatory cytokine genes but also reversed the detrimental effects of TNFα and IFNγ on the integrity and function of the AD iBEC monolayer. This suggests a novel pathway through which copper bis(thiosemicarbazone) complexes may exert neurotherapeutic effects on AD by mitigating BBB neuroinflammation and related BBB integrity impairment. Together, the presented model provides an effective and easily scalable in vitro BBB platform for screening AD drug candidates. Its improved translational potential makes it a valuable tool for advancing the development of metal-based compounds aimed at modulating neuroinflammation in AD.
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Affiliation(s)
- Joanna M Wasielewska
- Mental Health and Neuroscience Program, QIMR Berghofer Medical Research Institute, Herston, QLD 4006, Australia
- Faculty of Medicine, University of Queensland, Herston, QLD 4006, Australia
| | - Kathryn Szostak
- School of Chemistry, Bio21 Institute for Molecular Science and Biotechnology, The University of Melbourne, Parkville, VIC 3010, Australia
| | - Lachlan E McInnes
- School of Chemistry, Bio21 Institute for Molecular Science and Biotechnology, The University of Melbourne, Parkville, VIC 3010, Australia
| | - Hazel Quek
- Mental Health and Neuroscience Program, QIMR Berghofer Medical Research Institute, Herston, QLD 4006, Australia
- School of Biomedical Science, University of Queensland, St. Lucia, QLD 4067, Australia
| | - Juliana C S Chaves
- Mental Health and Neuroscience Program, QIMR Berghofer Medical Research Institute, Herston, QLD 4006, Australia
- School of Biomedical Sciences, Faculty of Health, Queensland University of Technology, Brisbane, QLD 4000, Australia
| | - Jeffrey R Liddell
- Department of Anatomy and Physiology, The University of Melbourne, Parkville, VIC 3010, Australia
| | - Jari Koistinaho
- Drug Research Program, Division of Pharmacology and Pharmacotherapy, University of Helsinki, Helsinki 00014,Finland
- Neuroscience Centre, Helsinki Institute of Life Science, University of Helsinki, Helsinki 00014, Finland
| | - Lotta E Oikari
- Mental Health and Neuroscience Program, QIMR Berghofer Medical Research Institute, Herston, QLD 4006, Australia
| | - Paul S Donnelly
- School of Chemistry, Bio21 Institute for Molecular Science and Biotechnology, The University of Melbourne, Parkville, VIC 3010, Australia
| | - Anthony R White
- Mental Health and Neuroscience Program, QIMR Berghofer Medical Research Institute, Herston, QLD 4006, Australia
- School of Biomedical Science, University of Queensland, St. Lucia, QLD 4067, Australia
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34
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Ji H, Han Y, Danyang Jie, Yue Li, Hailan Yang, Sun H, You C, Xiao A, Liu Y. Decoding the biology and clinical implication of neutrophils in intracranial aneurysm. Ann Clin Transl Neurol 2024; 11:958-972. [PMID: 38317016 PMCID: PMC11021671 DOI: 10.1002/acn3.52014] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/20/2023] [Revised: 10/08/2023] [Accepted: 01/11/2024] [Indexed: 02/07/2024] Open
Abstract
OBJECTIVE Abundant neutrophils have been identified in both ruptured and unruptured intracranial aneurysm (IA) domes, with their function and clinical implication being poorly characterized. MATERIALS AND METHODS We employed single-cell RNA sequencing (scRNA-Seq) datasets of both human and murine model, and external bulk mRNA sequencing datasets to thoroughly explore the features and functional heterogeneous of neutrophils infiltrating the IA dome. RESULTS We found that both unruptured and ruptured IA dome contain a substantial population of neutrophils, characterized by FCGR3B, G0S2, CSF3R, and CXCR2. These cells exhibited heterogeneity in terms of function and differentiation. Despite similar transcriptional activation, neutrophils in IA dome expressed a repertoire of gene programs that mimicked transcriptomic alterations observed from bone marrow to peripheral blood, showing self-similarity. In addition, the recruitment of neutrophils in unruptured IA was primarily mediated by monocytes/macrophages, and once ruptured, both neutrophils, and a specific subset of inflammatory smooth muscle cells (SMCs) were involved in the process. The receiver operator characteristic curve (ROC) analysis indicated that distinct neutrophil subclusters were associated with IA formation and rupture, respectively. By reviewing current studies, we found that neutrophils play a detrimental role to IA wall integrity through secreting specific ligands, ferroptosis driven by ALOX5AP and PTGS2, and the formation of neutrophil extracellular traps (NETs) mediated by PADI4. INTERPRETATION This study delineated the biology and potential clinical implications of neutrophils in IA dome and provided a reliable basis for future researches.
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Affiliation(s)
- Hang Ji
- Department of Neurosurgery, West China HospitalSichuan UniversityNo. 37 Guoxue LaneChengduSichuanChina
| | - Yujing Han
- Plevic Floor Disorders Centre, West China Tianfu HospitalSichuan UniversityNo. 3966, Tianfu AvenueChengduSichuanChina
| | - Danyang Jie
- Department of Neurosurgery, West China HospitalSichuan UniversityNo. 37 Guoxue LaneChengduSichuanChina
| | - Yue Li
- Department of Neurosurgery, West China HospitalSichuan UniversityNo. 37 Guoxue LaneChengduSichuanChina
| | - Hailan Yang
- Department of Neurosurgery, West China HospitalSichuan UniversityNo. 37 Guoxue LaneChengduSichuanChina
| | - Haogeng Sun
- Department of Neurosurgery, West China HospitalSichuan UniversityNo. 37 Guoxue LaneChengduSichuanChina
| | - Chao You
- Department of Neurosurgery, West China HospitalSichuan UniversityNo. 37 Guoxue LaneChengduSichuanChina
| | - Anqi Xiao
- Department of Neurosurgery, West China HospitalSichuan UniversityNo. 37 Guoxue LaneChengduSichuanChina
| | - Yi Liu
- Department of Neurosurgery, West China HospitalSichuan UniversityNo. 37 Guoxue LaneChengduSichuanChina
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Bejarano L, Kauzlaric A, Lamprou E, Lourenco J, Fournier N, Ballabio M, Colotti R, Maas R, Galland S, Massara M, Soukup K, Lilja J, Brouland JP, Hottinger AF, Daniel RT, Hegi ME, Joyce JA. Interrogation of endothelial and mural cells in brain metastasis reveals key immune-regulatory mechanisms. Cancer Cell 2024; 42:378-395.e10. [PMID: 38242126 DOI: 10.1016/j.ccell.2023.12.018] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/03/2023] [Revised: 10/11/2023] [Accepted: 12/20/2023] [Indexed: 01/21/2024]
Abstract
Brain metastasis (BrM) is a common malignancy, predominantly originating from lung, melanoma, and breast cancers. The vasculature is a key component of the BrM tumor microenvironment with critical roles in regulating metastatic seeding and progression. However, the heterogeneity of the major BrM vascular components, namely endothelial and mural cells, is still poorly understood. We perform single-cell and bulk RNA-sequencing of sorted vascular cell types and detect multiple subtypes enriched specifically in BrM compared to non-tumor brain, including previously unrecognized immune regulatory subtypes. We integrate the human data with mouse models, creating a platform to interrogate vascular targets for the treatment of BrM. We find that the CD276 immune checkpoint molecule is significantly upregulated in the BrM vasculature, and anti-CD276 blocking antibodies prolonged survival in preclinical trials. This study provides important insights into the complex interactions between the vasculature, immune cells, and cancer cells, with translational relevance for designing therapeutic interventions.
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Affiliation(s)
- Leire Bejarano
- Department of Oncology, University of Lausanne, Lausanne, Switzerland; Ludwig Institute for Cancer Research, University of Lausanne, Lausanne, Switzerland; Agora Cancer Research Centre Lausanne, Lausanne, Switzerland; Lundin Family Brain Tumor Research Center, Departments of Oncology and Clinical Neurosciences, Centre Hospitalier Universitaire Vaudois, Lausanne, Switzerland
| | - Annamaria Kauzlaric
- Agora Cancer Research Centre Lausanne, Lausanne, Switzerland; Translational Data Science Facility, Swiss Institute of Bioinformatics, Lausanne, Switzerland
| | - Eleni Lamprou
- Department of Oncology, University of Lausanne, Lausanne, Switzerland; Ludwig Institute for Cancer Research, University of Lausanne, Lausanne, Switzerland; Agora Cancer Research Centre Lausanne, Lausanne, Switzerland; Lundin Family Brain Tumor Research Center, Departments of Oncology and Clinical Neurosciences, Centre Hospitalier Universitaire Vaudois, Lausanne, Switzerland
| | - Joao Lourenco
- Agora Cancer Research Centre Lausanne, Lausanne, Switzerland; Translational Data Science Facility, Swiss Institute of Bioinformatics, Lausanne, Switzerland
| | - Nadine Fournier
- Agora Cancer Research Centre Lausanne, Lausanne, Switzerland; Translational Data Science Facility, Swiss Institute of Bioinformatics, Lausanne, Switzerland
| | - Michelle Ballabio
- Department of Oncology, University of Lausanne, Lausanne, Switzerland; Ludwig Institute for Cancer Research, University of Lausanne, Lausanne, Switzerland; Agora Cancer Research Centre Lausanne, Lausanne, Switzerland
| | - Roberto Colotti
- In Vivo Imaging Facility (IVIF), University of Lausanne, Lausanne, Switzerland
| | - Roeltje Maas
- Department of Oncology, University of Lausanne, Lausanne, Switzerland; Ludwig Institute for Cancer Research, University of Lausanne, Lausanne, Switzerland; Agora Cancer Research Centre Lausanne, Lausanne, Switzerland; Lundin Family Brain Tumor Research Center, Departments of Oncology and Clinical Neurosciences, Centre Hospitalier Universitaire Vaudois, Lausanne, Switzerland
| | - Sabine Galland
- Department of Oncology, University of Lausanne, Lausanne, Switzerland; Ludwig Institute for Cancer Research, University of Lausanne, Lausanne, Switzerland; Agora Cancer Research Centre Lausanne, Lausanne, Switzerland; Lundin Family Brain Tumor Research Center, Departments of Oncology and Clinical Neurosciences, Centre Hospitalier Universitaire Vaudois, Lausanne, Switzerland
| | - Matteo Massara
- Department of Oncology, University of Lausanne, Lausanne, Switzerland; Ludwig Institute for Cancer Research, University of Lausanne, Lausanne, Switzerland; Agora Cancer Research Centre Lausanne, Lausanne, Switzerland; Lundin Family Brain Tumor Research Center, Departments of Oncology and Clinical Neurosciences, Centre Hospitalier Universitaire Vaudois, Lausanne, Switzerland
| | - Klara Soukup
- Department of Oncology, University of Lausanne, Lausanne, Switzerland; Ludwig Institute for Cancer Research, University of Lausanne, Lausanne, Switzerland; Agora Cancer Research Centre Lausanne, Lausanne, Switzerland
| | - Johanna Lilja
- Department of Oncology, University of Lausanne, Lausanne, Switzerland; Ludwig Institute for Cancer Research, University of Lausanne, Lausanne, Switzerland; Agora Cancer Research Centre Lausanne, Lausanne, Switzerland
| | - Jean-Philippe Brouland
- Department of Pathology, Centre Hospitalier Universitaire Vaudois, Lausanne, Switzerland
| | - Andreas F Hottinger
- Department of Oncology, University of Lausanne, Lausanne, Switzerland; Lundin Family Brain Tumor Research Center, Departments of Oncology and Clinical Neurosciences, Centre Hospitalier Universitaire Vaudois, Lausanne, Switzerland; Department of Oncology, Centre Hospitalier Universitaire Vaudois, Lausanne, Switzerland
| | - Roy T Daniel
- Lundin Family Brain Tumor Research Center, Departments of Oncology and Clinical Neurosciences, Centre Hospitalier Universitaire Vaudois, Lausanne, Switzerland; Department of Neurosurgery, Centre Hospitalier Universitaire Vaudois, Lausanne, Switzerland
| | - Monika E Hegi
- Lundin Family Brain Tumor Research Center, Departments of Oncology and Clinical Neurosciences, Centre Hospitalier Universitaire Vaudois, Lausanne, Switzerland; Department of Neurosurgery, Centre Hospitalier Universitaire Vaudois, Lausanne, Switzerland; Neuroscience Research Center, Centre Hospitalier Universitaire Vaudois, Lausanne, Switzerland
| | - Johanna A Joyce
- Department of Oncology, University of Lausanne, Lausanne, Switzerland; Ludwig Institute for Cancer Research, University of Lausanne, Lausanne, Switzerland; Agora Cancer Research Centre Lausanne, Lausanne, Switzerland; Lundin Family Brain Tumor Research Center, Departments of Oncology and Clinical Neurosciences, Centre Hospitalier Universitaire Vaudois, Lausanne, Switzerland.
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Ji H, Li Y, Sun H, Chen R, Zhou R, Yang Y, Wang R, You C, Xiao A, Yi L. Decoding the Cell Atlas and Inflammatory Features of Human Intracranial Aneurysm Wall by Single-Cell RNA Sequencing. J Am Heart Assoc 2024; 13:e032456. [PMID: 38390814 PMCID: PMC10944067 DOI: 10.1161/jaha.123.032456] [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] [Received: 11/28/2023] [Accepted: 01/26/2024] [Indexed: 02/24/2024]
Abstract
BACKGROUND Intracranial aneurysm (IA) is common and occasionally results in life-threatening hemorrhagic strokes. However, the cell architecture and inflammation in the IA dome remain less understood. METHODS AND RESULTS Single-cell RNA sequencing was performed on ruptured and unruptured human IA domes for delineating the cell atlas, gene expression perturbations, and inflammation features. Two external bulk mRNA sequencing-based data sets and serological results of 126 patients were collected for validation. As a result, a total of 21 332 qualified cells were captured. Vascular cells, including endothelial cells, smooth muscle cells, fibroblasts, and pericytes, were assigned in extremely sparse numbers (4.84%), and were confirmed by immunofluorescence staining. Pericytes, characterized by ABCC9 and HIGD1B, were identified in the IA dome for the first time. Abundant immune cells were identified, with the proportion of monocytes/macrophages and neutrophils being remarkably higher in ruptured IA. The lymphocyte compartment was also thoroughly categorized. By leveraging external data sets and machine learning algorithms, macrophages were robustly associated with IA rupture, irrespective of their polarization status. The single nucleotide polymorphism rs2280543, which is identified in East Asian populations, was associated with macrophage metabolic reprogramming through regulating TALDO1 expression. CONCLUSIONS This study provides insights into the cellular architecture and inflammatory features in the IA dome and may enlighten novel therapeutics for unruptured IA.
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Affiliation(s)
- Hang Ji
- Department of Neurosurgery, West China HospitalSichuan UniversityChengduChina
| | - Yue Li
- Department of Neurosurgery, West China HospitalSichuan UniversityChengduChina
| | - Haogeng Sun
- Department of Neurosurgery, West China HospitalSichuan UniversityChengduChina
| | - Ruiqi Chen
- Department of Neurosurgery, West China HospitalSichuan UniversityChengduChina
| | - Ran Zhou
- Department of Neurosurgery, State Key Laboratory of Biotherapy and Cancer Center, West China HospitalSichuan UniversityChengduChina
| | - Yongbo Yang
- Department of Neurosurgery, Nanjing Drum Tower HospitalThe Affiliated Hospital of Nanjing University Medical SchoolNanjingChina
| | - Rong Wang
- Department of Neurosurgery, Beijing Tiantan HospitalCapital Medical UniversityBeijingChina
| | - Chao You
- Department of Neurosurgery, West China HospitalSichuan UniversityChengduChina
| | - Anqi Xiao
- Department of Neurosurgery, West China HospitalSichuan UniversityChengduChina
| | - Liu Yi
- Department of Neurosurgery, West China HospitalSichuan UniversityChengduChina
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Fei CJ, Li ZY, Ning J, Yang L, Wu BS, Kang JJ, Liu WS, He XY, You J, Chen SD, Yu H, Huang ZL, Feng JF, Yu JT, Cheng W. Exome sequencing identifies genes associated with sleep-related traits. Nat Hum Behav 2024; 8:576-589. [PMID: 38177695 DOI: 10.1038/s41562-023-01785-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/03/2023] [Accepted: 11/15/2023] [Indexed: 01/06/2024]
Abstract
Sleep is vital for human health and has a moderate heritability. Previous genome-wide association studies have limitations in capturing the role of rare genetic variants in sleep-related traits. Here we conducted a large-scale exome-wide association study of eight sleep-related traits (sleep duration, insomnia symptoms, chronotype, daytime sleepiness, daytime napping, ease of getting up in the morning, snoring and sleep apnoea) among 450,000 participants from UK Biobank. We identified 22 new genes associated with chronotype (ADGRL4, COL6A3, CLK4 and KRTAP3-3), daytime sleepiness (ST3GAL1 and ANKRD12), daytime napping (PLEKHM1, ANKRD12 and ZBTB21), snoring (WDR59) and sleep apnoea (13 genes). Notably, 20 of these genes were confirmed to be significantly associated with sleep disorders in the FinnGen cohort. Enrichment analysis revealed that these discovered genes were enriched in circadian rhythm and central nervous system neurons. Phenotypic association analysis showed that ANKRD12 was associated with cognition and inflammatory traits. Our results demonstrate the value of large-scale whole-exome analysis in understanding the genetic architecture of sleep-related traits and potential biological mechanisms.
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Affiliation(s)
- Chen-Jie Fei
- Department of Neurology and National Center for Neurological Disorders, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Shanghai Medical College, Fudan University, Shanghai, China
| | - Ze-Yu Li
- Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China
- Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence, Fudan University, Ministry of Education, Shanghai, China
| | - Jing Ning
- Department of Neurology and National Center for Neurological Disorders, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Shanghai Medical College, Fudan University, Shanghai, China
| | - Liu Yang
- Department of Neurology and National Center for Neurological Disorders, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Shanghai Medical College, Fudan University, Shanghai, China
| | - Bang-Sheng Wu
- Department of Neurology and National Center for Neurological Disorders, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Shanghai Medical College, Fudan University, Shanghai, China
| | - Ju-Jiao Kang
- Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China
- Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence, Fudan University, Ministry of Education, Shanghai, China
| | - Wei-Shi Liu
- Department of Neurology and National Center for Neurological Disorders, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Shanghai Medical College, Fudan University, Shanghai, China
| | - Xiao-Yu He
- Department of Neurology and National Center for Neurological Disorders, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Shanghai Medical College, Fudan University, Shanghai, China
| | - Jia You
- Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China
- Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence, Fudan University, Ministry of Education, Shanghai, China
| | - Shi-Dong Chen
- Department of Neurology and National Center for Neurological Disorders, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Shanghai Medical College, Fudan University, Shanghai, China
| | - Huan Yu
- Department of Neurology and National Center for Neurological Disorders, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Shanghai Medical College, Fudan University, Shanghai, China
| | - Zhi-Li Huang
- Department of Pharmacology, School of Basic Medical Sciences, State Key Laboratory of Medical Neurobiology, Institutes of Brain Science and Collaborative Innovation Center for Brain Science, Fudan University, Shanghai, China
| | - Jian-Feng Feng
- Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China
- Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence, Fudan University, Ministry of Education, Shanghai, China
- Department of Computer Science, University of Warwick, Coventry, UK
| | - Jin-Tai Yu
- Department of Neurology and National Center for Neurological Disorders, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Shanghai Medical College, Fudan University, Shanghai, China.
| | - Wei Cheng
- Department of Neurology and National Center for Neurological Disorders, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Shanghai Medical College, Fudan University, Shanghai, China.
- Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China.
- Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence, Fudan University, Ministry of Education, Shanghai, China.
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Kwok AJ, Lu J, Huang J, Ip BY, Mok VCT, Lai HM, Ko H. High-resolution omics of vascular ageing and inflammatory pathways in neurodegeneration. Semin Cell Dev Biol 2024; 155:30-49. [PMID: 37380595 DOI: 10.1016/j.semcdb.2023.06.005] [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: 04/29/2023] [Accepted: 06/07/2023] [Indexed: 06/30/2023]
Abstract
High-resolution omics, particularly single-cell and spatial transcriptomic profiling, are rapidly enhancing our comprehension of the normal molecular diversity of gliovascular cells, as well as their age-related changes that contribute to neurodegeneration. With more omic profiling studies being conducted, it is becoming increasingly essential to synthesise valuable information from the rapidly accumulating findings. In this review, we present an overview of the molecular features of neurovascular and glial cells that have been recently discovered through omic profiling, with a focus on those that have potentially significant functional implications and/or show cross-species differences between human and mouse, and that are linked to vascular deficits and inflammatory pathways in ageing and neurodegenerative disorders. Additionally, we highlight the translational applications of omic profiling, and discuss omic-based strategies to accelerate biomarker discovery and facilitate disease course-modifying therapeutics development for neurodegenerative conditions.
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Affiliation(s)
- Andrew J Kwok
- Division of Neurology, Department of Medicine and Therapeutics, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China; Li Ka Shing Institute of Health Sciences, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China; Margaret K. L. Cheung Research Centre for Management of Parkinsonism, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China; Lau Tat-chuen Research Centre of Brain Degenerative Diseases in Chinese, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China; Gerald Choa Neuroscience Institute, The Chinese University of Hong Kong, Hong Kong SAR, China.
| | - Jianning Lu
- Li Ka Shing Institute of Health Sciences, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China; Department of Psychiatry, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China; Gerald Choa Neuroscience Institute, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Junzhe Huang
- Division of Neurology, Department of Medicine and Therapeutics, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China; Li Ka Shing Institute of Health Sciences, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China; Margaret K. L. Cheung Research Centre for Management of Parkinsonism, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China; Lau Tat-chuen Research Centre of Brain Degenerative Diseases in Chinese, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China; Gerald Choa Neuroscience Institute, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Bonaventure Y Ip
- Division of Neurology, Department of Medicine and Therapeutics, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China; Li Ka Shing Institute of Health Sciences, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China; Margaret K. L. Cheung Research Centre for Management of Parkinsonism, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China; Lau Tat-chuen Research Centre of Brain Degenerative Diseases in Chinese, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China; Gerald Choa Neuroscience Institute, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Vincent C T Mok
- Division of Neurology, Department of Medicine and Therapeutics, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China; Li Ka Shing Institute of Health Sciences, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China; Margaret K. L. Cheung Research Centre for Management of Parkinsonism, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China; Lau Tat-chuen Research Centre of Brain Degenerative Diseases in Chinese, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China; Gerald Choa Neuroscience Institute, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Hei Ming Lai
- Division of Neurology, Department of Medicine and Therapeutics, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China; Li Ka Shing Institute of Health Sciences, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China; Margaret K. L. Cheung Research Centre for Management of Parkinsonism, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China; Department of Psychiatry, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China; Gerald Choa Neuroscience Institute, The Chinese University of Hong Kong, Hong Kong SAR, China.
| | - Ho Ko
- Division of Neurology, Department of Medicine and Therapeutics, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China; Li Ka Shing Institute of Health Sciences, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China; Margaret K. L. Cheung Research Centre for Management of Parkinsonism, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China; Lau Tat-chuen Research Centre of Brain Degenerative Diseases in Chinese, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China; Department of Psychiatry, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China; Gerald Choa Neuroscience Institute, The Chinese University of Hong Kong, Hong Kong SAR, China.
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Duan L, Yu X. Fibroblasts: New players in the central nervous system? FUNDAMENTAL RESEARCH 2024; 4:262-266. [PMID: 38933505 PMCID: PMC11197739 DOI: 10.1016/j.fmre.2023.01.014] [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: 09/03/2022] [Revised: 01/16/2023] [Accepted: 01/18/2023] [Indexed: 03/11/2023] Open
Abstract
Fibroblasts are typically described as cells that produce extracellular matrix, contribute to the formation of connective tissue, and maintain the structural framework of tissues. Fibroblasts are the first cell type to be transdifferentiated into inducible pluripotent stem cells (iPSCs), demonstrating their versatility and reprogrammability. Currently, there is relatively extensive characterization of the anatomical, molecular, and functional diversity of fibroblasts in different peripheral organs and tissues. With recent advances in single cell RNA sequencing, heterogeneity and diversity of fibroblasts in the central nervous system (CNS) have also begun to emerge. Based on their distinct anatomical locations in the meninges, perivascular space, and choroid plexus, as well as their molecular diversity, important roles for fibroblasts in the CNS have been proposed. Here, we draw inspirations from what is known about fibroblasts in peripheral tissues, in combination with their currently identified CNS locations and molecular characterizations, to propose potential functions of CNS fibroblasts in health and disease. Future studies, using a combination of technologies, will be needed to determine the bona fide in vivo functions of fibroblasts in the CNS.
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Affiliation(s)
- Lihui Duan
- State Key Laboratory of Molecular Development Biology, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing 100101, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Xiang Yu
- State Key Laboratory of Membrane Biology, School of Life Sciences, Peking University, Beijing 100871, China
- Peking-Tsinghua Center for Life Sciences and Peking University McGovern Institute, Peking University, Beijing 100871, China
- Chinese Institute for Brain Research, Beijing 102206, China
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40
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Crouch EE, Diafos LN, Valenzuela EJ, Wedderburn-Pugh K, Birrueta JO, Caston J, Joseph T, Andrews MG, Bhaduri A, Huang EJ. Profiling human brain vascular cells using single-cell transcriptomics and organoids. Nat Protoc 2024; 19:603-628. [PMID: 38102365 DOI: 10.1038/s41596-023-00929-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2023] [Accepted: 10/13/2023] [Indexed: 12/17/2023]
Abstract
Angiogenesis and neurogenesis are functionally interconnected during brain development. However, the study of the vasculature has trailed other brain cell types because they are delicate and of low abundance. Here we describe a protocol extension to purify prenatal human brain endothelial and mural cells with FACS and utilize them in downstream applications, including transcriptomics, culture and organoid transplantation. This approach is simple, efficient and generates high yields from small amounts of tissue. When the experiment is completed within a 24 h postmortem interval, these healthy cells produce high-quality data in single-cell transcriptomics experiments. These vascular cells can be cultured, passaged and expanded for many in vitro assays, including Matrigel vascular tube formation, microfluidic chambers and metabolic measurements. Under these culture conditions, primary vascular cells maintain expression of cell-type markers for at least 3 weeks. Finally, we describe how to use primary vascular cells for transplantation into cortical organoids, which captures key features of neurovascular interactions in prenatal human brain development. In terms of timing, tissue processing and staining requires ~3 h, followed by an additional 3 h of FACS. The transplant procedure of primary, FACS-purified vascular cells into cortical organoids requires an additional 2 h. The time required for different transcriptomic and epigenomic protocols can vary based on the specific application, and we offer strategies to mitigate batch effects and optimize data quality. In sum, this vasculo-centric approach offers an integrated platform to interrogate neurovascular interactions and human brain vascular development.
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Affiliation(s)
- Elizabeth E Crouch
- Department of Pediatrics, University of California San Francisco, San Francisco, CA, USA.
- The Eli and Edythe Broad Center of Regeneration Medicine and Stem Cell Research, University of California San Francisco, San Francisco, CA, USA.
- Biomedical Science Graduate Program, University of California San Francisco, San Francisco, CA, USA.
| | - Loukas N Diafos
- Department of Pediatrics, University of California San Francisco, San Francisco, CA, USA
- The Eli and Edythe Broad Center of Regeneration Medicine and Stem Cell Research, University of California San Francisco, San Francisco, CA, USA
| | - Edward J Valenzuela
- Department of Pediatrics, University of California San Francisco, San Francisco, CA, USA
- The Eli and Edythe Broad Center of Regeneration Medicine and Stem Cell Research, University of California San Francisco, San Francisco, CA, USA
| | - Kaylee Wedderburn-Pugh
- The Eli and Edythe Broad Center of Regeneration Medicine and Stem Cell Research, University of California San Francisco, San Francisco, CA, USA
- Biomedical Science Graduate Program, University of California San Francisco, San Francisco, CA, USA
- Medical Scientist Training Program, University of California San Francisco, San Francisco, CA, USA
| | - Janeth Ochoa Birrueta
- Department of Pediatrics, University of California San Francisco, San Francisco, CA, USA
- The Eli and Edythe Broad Center of Regeneration Medicine and Stem Cell Research, University of California San Francisco, San Francisco, CA, USA
| | - Jaela Caston
- The Eli and Edythe Broad Center of Regeneration Medicine and Stem Cell Research, University of California San Francisco, San Francisco, CA, USA
- Biomedical Science Graduate Program, University of California San Francisco, San Francisco, CA, USA
| | - Tara Joseph
- Department of Pediatrics, University of California San Francisco, San Francisco, CA, USA
- The Eli and Edythe Broad Center of Regeneration Medicine and Stem Cell Research, University of California San Francisco, San Francisco, CA, USA
| | - Madeline G Andrews
- The Eli and Edythe Broad Center of Regeneration Medicine and Stem Cell Research, University of California San Francisco, San Francisco, CA, USA
- Department of Neurology, University of California San Francisco (UCSF), San Francisco, CA, USA
- School of Biological and Health Systems Engineering, Arizona State University, Tempe, AZ, USA
| | - Aparna Bhaduri
- The Eli and Edythe Broad Center of Regeneration Medicine and Stem Cell Research, University of California San Francisco, San Francisco, CA, USA
- Department of Neurology, University of California San Francisco (UCSF), San Francisco, CA, USA
- Department of Biological Chemistry, University of California Los Angeles, Los Angeles, CA, USA
| | - Eric J Huang
- The Eli and Edythe Broad Center of Regeneration Medicine and Stem Cell Research, University of California San Francisco, San Francisco, CA, USA.
- Biomedical Science Graduate Program, University of California San Francisco, San Francisco, CA, USA.
- Department of Pathology, University of California San Francisco, San Francisco, CA, USA.
- Pathology Service 113B, San Francisco Veterans Affairs Healthcare System, San Francisco, CA, USA.
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41
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Gastfriend BD, Snyder ME, Holt HE, Daneman R, Palecek SP, Shusta EV. Notch3 directs differentiation of brain mural cells from human pluripotent stem cell-derived neural crest. SCIENCE ADVANCES 2024; 10:eadi1737. [PMID: 38306433 PMCID: PMC10836734 DOI: 10.1126/sciadv.adi1737] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/07/2023] [Accepted: 01/04/2024] [Indexed: 02/04/2024]
Abstract
Brain mural cells regulate development and function of the blood-brain barrier and control blood flow. Existing in vitro models of human brain mural cells have low expression of key mural cell genes, including NOTCH3. Thus, we asked whether activation of Notch3 signaling in hPSC-derived neural crest could direct the differentiation of brain mural cells with an improved transcriptional profile. Overexpression of the Notch3 intracellular domain (N3ICD) induced expression of mural cell markers PDGFRβ, TBX2, FOXS1, KCNJ8, SLC6A12, and endogenous Notch3. The resulting N3ICD-derived brain mural cells produced extracellular matrix, self-assembled with endothelial cells, and had functional KATP channels. ChIP-seq revealed that Notch3 serves as a direct input to relatively few genes in the context of this differentiation process. Our work demonstrates that activation of Notch3 signaling is sufficient to direct the differentiation of neural crest to mural cells and establishes a developmentally relevant differentiation protocol.
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Affiliation(s)
- Benjamin D Gastfriend
- Department of Chemical and Biological Engineering, University of Wisconsin-Madison, Madison, WI 53706, USA
| | - Margaret E Snyder
- Department of Chemical and Biological Engineering, University of Wisconsin-Madison, Madison, WI 53706, USA
| | - Hope E Holt
- Department of Chemical and Biological Engineering, University of Wisconsin-Madison, Madison, WI 53706, USA
| | - Richard Daneman
- Departments of Neurosciences and Pharmacology, University of California, San Diego, La Jolla, CA 92093, USA
| | - Sean P Palecek
- Department of Chemical and Biological Engineering, University of Wisconsin-Madison, Madison, WI 53706, USA
| | - Eric V Shusta
- Department of Chemical and Biological Engineering, University of Wisconsin-Madison, Madison, WI 53706, USA
- Department of Neurological Surgery, University of Wisconsin-Madison, Madison, WI 53706, USA
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42
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Punzon-Jimenez P, Machado-Lopez A, Perez-Moraga R, Llera-Oyola J, Grases D, Galvez-Viedma M, Sibai M, Satorres-Perez E, Lopez-Agullo S, Badenes R, Ferrer-Gomez C, Porta-Pardo E, Roson B, Simon C, Mas A. Effect of aging on the human myometrium at single-cell resolution. Nat Commun 2024; 15:945. [PMID: 38296945 PMCID: PMC10830479 DOI: 10.1038/s41467-024-45143-z] [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: 07/17/2023] [Accepted: 01/17/2024] [Indexed: 02/02/2024] Open
Abstract
Age-associated myometrial dysfunction can prompt complications during pregnancy and labor, which is one of the factors contributing to the 7.8-fold increase in maternal mortality in women over 40. Using single-cell/single-nucleus RNA sequencing and spatial transcriptomics, we have constructed a cellular atlas of the aging myometrium from 186,120 cells across twenty perimenopausal and postmenopausal women. We identify 23 myometrial cell subpopulations, including contractile and venous capillary cells as well as immune-modulated fibroblasts. Myometrial aging leads to fewer contractile capillary cells, a reduced level of ion channel expression in smooth muscle cells, and impaired gene expression in endothelial, smooth muscle, fibroblast, perivascular, and immune cells. We observe altered myometrial cell-to-cell communication as an aging hallmark, which associated with the loss of 25 signaling pathways, including those related to angiogenesis, tissue repair, contractility, immunity, and nervous system regulation. These insights may contribute to a better understanding of the complications faced by older individuals during pregnancy and labor.
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Affiliation(s)
- Paula Punzon-Jimenez
- Carlos Simon Foundation, Valencia, Spain
- Instituto de Investigación Sanitaria INCLIVA, Valencia, Spain
- Department of Pediatrics, Obstetrics and Gynecology, University of Valencia, Valencia, Spain
| | - Alba Machado-Lopez
- Carlos Simon Foundation, Valencia, Spain
- Instituto de Investigación Sanitaria INCLIVA, Valencia, Spain
| | - Raul Perez-Moraga
- Carlos Simon Foundation, Valencia, Spain
- R&D Department, Igenomix, Valencia, Spain
| | | | - Daniela Grases
- Josep Carreras Leukaemia Research Institute (IJC), Barcelona, Spain
| | | | - Mustafa Sibai
- Josep Carreras Leukaemia Research Institute (IJC), Barcelona, Spain
| | | | | | - Rafael Badenes
- Department of Surgery, University of Valencia, Valencia, Spain
- Hospital Clinico Universitario, Valencia, Spain
| | | | | | - Beatriz Roson
- Carlos Simon Foundation, Valencia, Spain
- Instituto de Investigación Sanitaria INCLIVA, Valencia, Spain
| | - Carlos Simon
- Carlos Simon Foundation, Valencia, Spain.
- Instituto de Investigación Sanitaria INCLIVA, Valencia, Spain.
- Department of Pediatrics, Obstetrics and Gynecology, University of Valencia, Valencia, Spain.
- Department of Obstetrics and Gynecology, BIDMC, Harvard University, Boston, MA, USA.
| | - Aymara Mas
- Carlos Simon Foundation, Valencia, Spain.
- Instituto de Investigación Sanitaria INCLIVA, Valencia, Spain.
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Xu X, Zhang C, Tang G, Wang N, Feng Y. Single-cell transcriptome profiling highlights the role of APP in blood vessels in assessing the risk of patients with proliferative diabetic retinopathy developing Alzheimer's disease. Front Cell Dev Biol 2024; 11:1328979. [PMID: 38328307 PMCID: PMC10847282 DOI: 10.3389/fcell.2023.1328979] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2023] [Accepted: 12/29/2023] [Indexed: 02/09/2024] Open
Abstract
Introduction: The incidence of diabetic retinopathy (DR) has been found to be associated with the risk of developing Alzheimer's disease (AD). In addition to the common properties of neurodegeneration, their progressions are involved with abnormal vascular functions. However, the interactions between them have not been fully understood. This study aimed to investigate the key factor for the underlying interactions and shared signaling pathways in the vasculature of DR and AD. Methods: We retrieved single-cell RNA sequencing (scRNA-seq) data regarding human fibrovascular membrane (FVM) of proliferative diabetic retinopathy (PDR) and human hippocampus vessels of AD from the NCBI-GEO database. GSEA analysis was performed to analyze AD-related genes in endothelial cells and pericytes of PDR. CellChat was used for predicting cell-cell communication and the signaling pathway. Results: The data suggested that amyloid-beta precursor protein (APP) signaling was found crucial in the vasculature of PDR and AD. Endothelial cells and pericytes could pose influences on other cells mainly via APP signaling in PDR. The endothelial cells were mainly coordinated with macrophages in the hippocampus vasculature of AD via APP signaling. The bulk RNA-seq in mice with PDR validated that the expression of APP gene had a significant correlation with that of the AD genome-wide association studies (GWAS) gene. Discussion: Our study demonstrates that the vasculopathy of PDR and AD is likely to share a common signaling pathway, of which the APP-related pathway is a potential target.
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Affiliation(s)
| | | | | | | | - Yibin Feng
- School of Chinese Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China
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Wojtas AM, Dammer EB, Guo Q, Ping L, Shantaraman A, Duong DM, Yin L, Fox EJ, Seifar F, Lee EB, Johnson ECB, Lah JJ, Levey AI, Levites Y, Rangaraju S, Golde TE, Seyfried NT. Proteomic Changes in the Human Cerebrovasculature in Alzheimer's Disease and Related Tauopathies Linked to Peripheral Biomarkers in Plasma and Cerebrospinal Fluid. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2024:2024.01.10.24301099. [PMID: 38260316 PMCID: PMC10802758 DOI: 10.1101/2024.01.10.24301099] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/24/2024]
Abstract
Dysfunction of the neurovascular unit stands as a significant pathological hallmark of Alzheimer's disease (AD) and age-related neurodegenerative diseases. Nevertheless, detecting vascular changes in the brain within bulk tissues has proven challenging, limiting our ability to characterize proteomic alterations from less abundant cell types. To address this challenge, we conducted quantitative proteomic analyses on both bulk brain tissues and cerebrovascular-enriched fractions from the same individuals, encompassing cognitively unimpaired control, progressive supranuclear palsy (PSP), and AD cases. Protein co-expression network analysis identified modules unique to the cerebrovascular fractions, specifically enriched with pericytes, endothelial cells, and smooth muscle cells. Many of these modules also exhibited significant correlations with amyloid plaques, cerebral amyloid angiopathy (CAA), and/or tau pathology in the brain. Notably, the protein products within AD genetic risk loci were found concentrated within modules unique to the vascular fractions, consistent with a role of cerebrovascular deficits in the etiology of AD. To prioritize peripheral AD biomarkers associated with vascular dysfunction, we assessed the overlap between differentially abundant proteins in AD cerebrospinal fluid (CSF) and plasma with a vascular-enriched network modules in the brain. This analysis highlighted matrisome proteins, SMOC1 and SMOC2, as being increased in CSF, plasma, and brain. Immunohistochemical analysis revealed SMOC1 deposition in both parenchymal plaques and CAA in the AD brain, whereas SMOC2 was predominantly localized to CAA. Collectively, these findings significantly enhance our understanding of the involvement of cerebrovascular abnormalities in AD, shedding light on potential biomarkers and molecular pathways associated with CAA and vascular dysfunction in neurodegenerative diseases.
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Affiliation(s)
- Aleksandra M. Wojtas
- Department of Biochemistry, Emory University School of Medicine, Atlanta, GA, USA
- Center for Neurodegenerative Disease, Emory University School of Medicine, Atlanta, GA, USA
| | - Eric B. Dammer
- Department of Biochemistry, Emory University School of Medicine, Atlanta, GA, USA
- Center for Neurodegenerative Disease, Emory University School of Medicine, Atlanta, GA, USA
| | - Qi Guo
- Department of Biochemistry, Emory University School of Medicine, Atlanta, GA, USA
- Center for Neurodegenerative Disease, Emory University School of Medicine, Atlanta, GA, USA
| | - Lingyan Ping
- Department of Biochemistry, Emory University School of Medicine, Atlanta, GA, USA
- Center for Neurodegenerative Disease, Emory University School of Medicine, Atlanta, GA, USA
| | - Ananth Shantaraman
- Department of Biochemistry, Emory University School of Medicine, Atlanta, GA, USA
- Center for Neurodegenerative Disease, Emory University School of Medicine, Atlanta, GA, USA
| | - Duc M. Duong
- Department of Biochemistry, Emory University School of Medicine, Atlanta, GA, USA
- Center for Neurodegenerative Disease, Emory University School of Medicine, Atlanta, GA, USA
| | - Luming Yin
- Department of Biochemistry, Emory University School of Medicine, Atlanta, GA, USA
- Center for Neurodegenerative Disease, Emory University School of Medicine, Atlanta, GA, USA
| | - Edward J. Fox
- Department of Biochemistry, Emory University School of Medicine, Atlanta, GA, USA
- Department of Pharmacology and Chemical Biology, Emory University School of Medicine, Atlanta, GA, USA
| | - Fatemeh Seifar
- Department of Biochemistry, Emory University School of Medicine, Atlanta, GA, USA
- Department of Pharmacology and Chemical Biology, Emory University School of Medicine, Atlanta, GA, USA
| | - Edward B. Lee
- Department of Pathology and Laboratory Medicine, University of Pennsylvania, PA, USA
| | - Erik C. B. Johnson
- Department of Neurology, Emory University School of Medicine, Atlanta, GA, USA
- Center for Neurodegenerative Disease, Emory University School of Medicine, Atlanta, GA, USA
| | - James J. Lah
- Department of Neurology, Emory University School of Medicine, Atlanta, GA, USA
- Center for Neurodegenerative Disease, Emory University School of Medicine, Atlanta, GA, USA
| | - Allan I. Levey
- Department of Biochemistry, Emory University School of Medicine, Atlanta, GA, USA
- Department of Neurology, Emory University School of Medicine, Atlanta, GA, USA
- Center for Neurodegenerative Disease, Emory University School of Medicine, Atlanta, GA, USA
| | - Yona Levites
- Department of Pharmacology and Chemical Biology, Emory University School of Medicine, Atlanta, GA, USA
- Center for Neurodegenerative Disease, Emory University School of Medicine, Atlanta, GA, USA
| | - Srikant Rangaraju
- Department of Neurology, Emory University School of Medicine, Atlanta, GA, USA
- Center for Neurodegenerative Disease, Emory University School of Medicine, Atlanta, GA, USA
| | - Todd E. Golde
- Department of Neurology, Emory University School of Medicine, Atlanta, GA, USA
- Department of Pharmacology and Chemical Biology, Emory University School of Medicine, Atlanta, GA, USA
- Center for Neurodegenerative Disease, Emory University School of Medicine, Atlanta, GA, USA
| | - Nicholas T. Seyfried
- Department of Biochemistry, Emory University School of Medicine, Atlanta, GA, USA
- Department of Neurology, Emory University School of Medicine, Atlanta, GA, USA
- Center for Neurodegenerative Disease, Emory University School of Medicine, Atlanta, GA, USA
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Flotho M, Amand J, Hirsch P, Grandke F, Wyss-Coray T, Keller A, Kern F. ZEBRA: a hierarchically integrated gene expression atlas of the murine and human brain at single-cell resolution. Nucleic Acids Res 2024; 52:D1089-D1096. [PMID: 37941147 PMCID: PMC10767845 DOI: 10.1093/nar/gkad990] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2023] [Revised: 10/02/2023] [Accepted: 10/16/2023] [Indexed: 11/10/2023] Open
Abstract
The molecular causes and mechanisms of neurodegenerative diseases remain poorly understood. A growing number of single-cell studies have implicated various neural, glial, and immune cell subtypes to affect the mammalian central nervous system in many age-related disorders. Integrating this body of transcriptomic evidence into a comprehensive and reproducible framework poses several computational challenges. Here, we introduce ZEBRA, a large single-cell and single-nucleus RNA-seq database. ZEBRA integrates and normalizes gene expression and metadata from 33 studies, encompassing 4.2 million human and mouse brain cells sampled from 39 brain regions. It incorporates samples from patients with neurodegenerative diseases like Alzheimer's disease, Parkinson's disease, and Multiple sclerosis, as well as samples from relevant mouse models. We employed scVI, a deep probabilistic auto-encoder model, to integrate the samples and curated both cell and sample metadata for downstream analysis. ZEBRA allows for cell-type and disease-specific markers to be explored and compared between sample conditions and brain regions, a cell composition analysis, and gene-wise feature mappings. Our comprehensive molecular database facilitates the generation of data-driven hypotheses, enhancing our understanding of mammalian brain function during aging and disease. The data sets, along with an interactive database are freely available at https://www.ccb.uni-saarland.de/zebra.
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Affiliation(s)
- Matthias Flotho
- Helmholtz-Institute for Pharmaceutical Research Saarland (HIPS), Helmholtz Centre for Infection Research, Saarland University Campus, 66123 Saarbrücken, Germany
- Clinical Bioinformatics, Center for Bioinformatics, Saarland University, 66123 Saarbrücken, Germany
| | - Jérémy Amand
- Helmholtz-Institute for Pharmaceutical Research Saarland (HIPS), Helmholtz Centre for Infection Research, Saarland University Campus, 66123 Saarbrücken, Germany
- Clinical Bioinformatics, Center for Bioinformatics, Saarland University, 66123 Saarbrücken, Germany
| | - Pascal Hirsch
- Clinical Bioinformatics, Center for Bioinformatics, Saarland University, 66123 Saarbrücken, Germany
| | - Friederike Grandke
- Clinical Bioinformatics, Center for Bioinformatics, Saarland University, 66123 Saarbrücken, Germany
| | - Tony Wyss-Coray
- Department of Neurology and Neurological Sciences, Stanford University, Stanford, CA, USA
- The Phil and Penny Knight Initiative for Brain Resilience, Stanford University, Stanford, CA, USA
| | - Andreas Keller
- Helmholtz-Institute for Pharmaceutical Research Saarland (HIPS), Helmholtz Centre for Infection Research, Saarland University Campus, 66123 Saarbrücken, Germany
- Clinical Bioinformatics, Center for Bioinformatics, Saarland University, 66123 Saarbrücken, Germany
| | - Fabian Kern
- Helmholtz-Institute for Pharmaceutical Research Saarland (HIPS), Helmholtz Centre for Infection Research, Saarland University Campus, 66123 Saarbrücken, Germany
- Clinical Bioinformatics, Center for Bioinformatics, Saarland University, 66123 Saarbrücken, Germany
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Yeung SHS, Lee RHS, Cheng GWY, Ma IWT, Kofler J, Kent C, Ma F, Herrup K, Fornage M, Arai K, Tse KH. White matter hyperintensity genetic risk factor TRIM47 regulates autophagy in brain endothelial cells. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2023.12.18.566359. [PMID: 38187529 PMCID: PMC10769267 DOI: 10.1101/2023.12.18.566359] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/09/2024]
Abstract
White matter hyperintensity (WMH) is strongly correlated with age-related dementia and hypertension, but its pathogenesis remains obscure. GWAS identified TRIM47 at 17q25 locus as a top genetic risk factor for WMH formation. TRIM family is a class of E3 ubiquitin ligase with pivotal functions in autophagy, which is critical for brain endothelial cell (ECs) remodeling during hypertension. We hypothesize that TRIM47 regulates autophagy and its loss-of-function disturbs cerebrovasculature. Based on transcriptomics and immunohistochemistry, TRIM47 is found selectively expressed by brain ECs in human and mouse, and its transcription is upregulated by artificially-induced autophagy while downregulated in hypertension-like conditions. Using in silico simulation, immunocytochemistry and super-resolution microscopy, we identified the highly conserved binding site between TRIM47 and the LIR (LC3-interacting region) motif of LC3B. Importantly, pharmacological autophagy induction increased Trim47 expression on mouse ECs (b.End3) culture, while silencing Trim47 significantly increased autophagy with ULK1 phosphorylation induction, transcription and vacuole formation. Together, we confirm that TRIM47 is an endogenous inhibitor of autophagy in brain ECs, and such TRIM47-mediated regulation connects genetic and physiological risk factors for WMH formation but warrants further investigation. SUMMARY STATEMENT TRIM47, top genetic risk factor for white matter hyperintensity formation, is a negative regulator of autophagy in brain endothelial cells and implicates a novel cellular mechanism for age-related cerebrovascular changes.
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47
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van Splunder H, Villacampa P, Martínez-Romero A, Graupera M. Pericytes in the disease spotlight. Trends Cell Biol 2024; 34:58-71. [PMID: 37474376 PMCID: PMC10777571 DOI: 10.1016/j.tcb.2023.06.001] [Citation(s) in RCA: 16] [Impact Index Per Article: 16.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2023] [Revised: 06/01/2023] [Accepted: 06/09/2023] [Indexed: 07/22/2023]
Abstract
Pericytes are known as the mural cells in small-caliber vessels that interact closely with the endothelium. Pericytes play a key role in vasculature formation and homeostasis, and when dysfunctional contribute to vasculature-related diseases such as diabetic retinopathy and neurodegenerative conditions. In addition, significant extravascular roles of pathological pericytes are being discovered with relevant implications for cancer and fibrosis. Pericyte research is challenged by the lack of consistent molecular markers and clear discrimination criteria versus other (mural) cells. However, advances in single-cell approaches are uncovering and clarifying mural cell identities, biological functions, and ontogeny across organs. We discuss the latest developments in pericyte pathobiology to inform future research directions and potential outcomes.
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Affiliation(s)
- Hielke van Splunder
- Endothelial Pathobiology and Microenviroment Group, Josep Carreras Leukemia Research Institute (IJC), 08916 Badalona, Barcelona, Catalonia, Spain
| | - Pilar Villacampa
- Department of Physiological Sciences, Faculty of Medicine and Health Sciences, University of Barcelona and Bellvitge Biomedical Research Institute (IDIBELL), Carrer de la Feixa Llarga s/n, 08907 l'Hospitalet de Llobregat, Barcelona, Spain
| | - Anabel Martínez-Romero
- Endothelial Pathobiology and Microenviroment Group, Josep Carreras Leukemia Research Institute (IJC), 08916 Badalona, Barcelona, Catalonia, Spain
| | - Mariona Graupera
- Endothelial Pathobiology and Microenviroment Group, Josep Carreras Leukemia Research Institute (IJC), 08916 Badalona, Barcelona, Catalonia, Spain; Institución Catalana de Investigación y Estudios Avanzados (ICREA), Passeig de Lluís Companys 23, Barcelona, Spain; Centro de Investigación Biomédica en Red de Cáncer (CIBERONC), Instituto de Salud Carlos III, Avenida de Monforte de Lemos 5, 28029 Madrid, Spain.
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48
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Kim JS, Haimon Z, Boura-Halfon S, Jung S. Translatome Profiling of Tissue-Resident Macrophages Using the RiboTag Approach. Methods Mol Biol 2024; 2713:253-267. [PMID: 37639128 DOI: 10.1007/978-1-0716-3437-0_17] [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: 08/29/2023]
Abstract
Global gene expression profiling has provided valuable insights into the specific contributions of different cell types to various physiological processes. Notably though, both bulk and single-cell transcriptomics require the prior retrieval of the cells from their tissue context to be analyzed. Isolation protocols for tissue macrophages are, however, notoriously inefficient and, moreover, prone to introduce considerable bias and artifacts. Here, we will discuss a valuable alternative, originally introduced by Amieux and colleagues. This so-called RiboTag approach allows, in combination with respective macrophage-specific Cre transgenic lines, to retrieve macrophage translatomes from crude tissue extracts. We will review our experience with this ingenious method, focusing on the study of brain macrophages, including microglia and border-associated cells. We will elaborate on the advantages of the RiboTag approach that render it a valuable complement to standard cell sorting-based profiling strategies, especially for the investigation of tissue macrophages.
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Affiliation(s)
- Jung-Seok Kim
- Department of Immunology and Regenerative Biology, Weizmann Institute of Science, Rehovot, Israel.
| | - Zhana Haimon
- Department of Immunology and Regenerative Biology, Weizmann Institute of Science, Rehovot, Israel
| | - Sigalit Boura-Halfon
- Department of Immunology and Regenerative Biology, Weizmann Institute of Science, Rehovot, Israel
| | - Steffen Jung
- Department of Immunology and Regenerative Biology, Weizmann Institute of Science, Rehovot, Israel.
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Tijms BM, Vromen EM, Mjaavatten O, Holstege H, Reus LM, van der Lee S, Wesenhagen KEJ, Lorenzini L, Vermunt L, Venkatraghavan V, Tesi N, Tomassen J, den Braber A, Goossens J, Vanmechelen E, Barkhof F, Pijnenburg YAL, van der Flier WM, Teunissen CE, Berven FS, Visser PJ. Cerebrospinal fluid proteomics in patients with Alzheimer's disease reveals five molecular subtypes with distinct genetic risk profiles. NATURE AGING 2024; 4:33-47. [PMID: 38195725 PMCID: PMC10798889 DOI: 10.1038/s43587-023-00550-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/11/2023] [Accepted: 11/29/2023] [Indexed: 01/11/2024]
Abstract
Alzheimer's disease (AD) is heterogenous at the molecular level. Understanding this heterogeneity is critical for AD drug development. Here we define AD molecular subtypes using mass spectrometry proteomics in cerebrospinal fluid, based on 1,058 proteins, with different levels in individuals with AD (n = 419) compared to controls (n = 187). These AD subtypes had alterations in protein levels that were associated with distinct molecular processes: subtype 1 was characterized by proteins related to neuronal hyperplasticity; subtype 2 by innate immune activation; subtype 3 by RNA dysregulation; subtype 4 by choroid plexus dysfunction; and subtype 5 by blood-brain barrier impairment. Each subtype was related to specific AD genetic risk variants, for example, subtype 1 was enriched with TREM2 R47H. Subtypes also differed in clinical outcomes, survival times and anatomical patterns of brain atrophy. These results indicate molecular heterogeneity in AD and highlight the need for personalized medicine.
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Affiliation(s)
- Betty M Tijms
- Alzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc, Amsterdam, the Netherlands.
- Amsterdam Neuroscience, Neurodegeneration, Amsterdam, the Netherlands.
| | - Ellen M Vromen
- Alzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc, Amsterdam, the Netherlands
- Amsterdam Neuroscience, Neurodegeneration, Amsterdam, the Netherlands
| | - Olav Mjaavatten
- Proteomics Unit at the University of Bergen, Department of Biomedicine, University of Bergen, Bergen, Norway
| | - Henne Holstege
- Alzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc, Amsterdam, the Netherlands
- Amsterdam Neuroscience, Neurodegeneration, Amsterdam, the Netherlands
- Department of Clinical Genetics, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc, Amsterdam, the Netherlands
| | - Lianne M Reus
- Alzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc, Amsterdam, the Netherlands
- Amsterdam Neuroscience, Neurodegeneration, Amsterdam, the Netherlands
- Center for Neurobehavioral Genetics, Semel Institute for Neuroscience and Human Behavior, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA
| | - Sven van der Lee
- Alzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc, Amsterdam, the Netherlands
- Amsterdam Neuroscience, Neurodegeneration, Amsterdam, the Netherlands
- Genomics of Neurodegenerative Diseases and Aging, Human Genetics, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc, Amsterdam, the Netherlands
| | - Kirsten E J Wesenhagen
- Alzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc, Amsterdam, the Netherlands
- Amsterdam Neuroscience, Neurodegeneration, Amsterdam, the Netherlands
| | - Luigi Lorenzini
- Department of Radiology and Nuclear Medicine, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc, Amsterdam, the Netherlands
- Amsterdam Neuroscience, Neuroimaging, Amsterdam, the Netherlands
| | - Lisa Vermunt
- Amsterdam Neuroscience, Neurodegeneration, Amsterdam, the Netherlands
- Neurochemistry Laboratory, Department of Laboratory Medicine, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc, Amsterdam, the Netherlands
| | - Vikram Venkatraghavan
- Alzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc, Amsterdam, the Netherlands
- Amsterdam Neuroscience, Neurodegeneration, Amsterdam, the Netherlands
| | - Niccoló Tesi
- Genomics of Neurodegenerative Diseases and Aging, Human Genetics, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc, Amsterdam, the Netherlands
- Delft Bioinformatics Lab, Delft University of Technology, Delft, the Netherlands
| | - Jori Tomassen
- Alzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc, Amsterdam, the Netherlands
- Amsterdam Neuroscience, Neurodegeneration, Amsterdam, the Netherlands
| | - Anouk den Braber
- Alzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc, Amsterdam, the Netherlands
- Amsterdam Neuroscience, Neurodegeneration, Amsterdam, the Netherlands
- Department of Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
| | | | | | - Frederik Barkhof
- Department of Radiology and Nuclear Medicine, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc, Amsterdam, the Netherlands
- Queen Square Institute of Neurology and Centre for Medical Image Computing, University College London, London, UK
| | - Yolande A L Pijnenburg
- Alzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc, Amsterdam, the Netherlands
- Amsterdam Neuroscience, Neurodegeneration, Amsterdam, the Netherlands
| | - Wiesje M van der Flier
- Alzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc, Amsterdam, the Netherlands
- Amsterdam Neuroscience, Neurodegeneration, Amsterdam, the Netherlands
- Epidemiology & Data Science, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc, Amsterdam, the Netherlands
| | - Charlotte E Teunissen
- Amsterdam Neuroscience, Neurodegeneration, Amsterdam, the Netherlands
- Neurochemistry Laboratory, Department of Laboratory Medicine, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc, Amsterdam, the Netherlands
| | - Frode S Berven
- Proteomics Unit at the University of Bergen, Department of Biomedicine, University of Bergen, Bergen, Norway
| | - Pieter Jelle Visser
- Alzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc, Amsterdam, the Netherlands
- Amsterdam Neuroscience, Neurodegeneration, Amsterdam, the Netherlands
- Alzheimer Center Limburg, School for Mental Health and Neuroscience, Maastricht University, Maastricht, the Netherlands
- Department of Neurobiology, Care Sciences and Society, Division of Neurogeriatrics, Karolinska Institutet, Stockholm, Sweden
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50
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Sang XZ, Chen W, Hou XX, Wang CH, Zhang DF, Hou LJ. Association Between Statin Use and Dementia, and Related Mechanisms: A Bibliometric Analysis from 2007 to 2023. J Alzheimers Dis 2024; 101:847-876. [PMID: 39269837 DOI: 10.3233/jad-240270] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/15/2024]
Abstract
Background Emerging evidence suggests the potential of hydroxymethylglutaryl-coenzyme A (HMG-CoA, statins) as a therapeutic option for dementia. Objective The primary objective of this study is to assess the current state of research on statins use in dementia, with a focus on identifying pivotal questions within the field. Methods A systemic search for publications on statin use in dementia between 2007 and 2023 was conducted, utilizing the Web of Science Core Collection. The scientific output was analyzed from various perspectives through VOSviewer, CiteSpace, and the bibliometrics website (https://bibliometric.com/). Results 560 articles authored by 2,977 individuals and 999 institutions across 58 countries were included, which were published in 295 periodicals and cited 21,176 references from 16,424 authors. The annual publication output remained steady, while the number of citations increased consistently. The U.S. and Mayo Clinic emerged as the most significant country and institution, respectively. B. McGuinness and D.L. Sparks were the most eminent authors. Journal of Alzheimer's Disease was the most influential journal. Three sets of keywords and the top 10 references were identified, suggesting pivotal questions within the field. Conclusions While statins show promising potential as a treatment option for dementia, their use remains uncertain due to the reported short-term cognitive impairment events and questionable long-term protective effects against dementia. The pivotal question is to ascertain the association between statins and cognition. The mechanisms underlying the effects of statins on cognition are multifaceted. This study provides insights into the current status within the field of statin use in dementia.
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Affiliation(s)
- Xian-Zheng Sang
- Department of Neurosurgery, The Second Affiliated Hospital of Naval Medical University, Shanghai, China
| | - Wen Chen
- Department of Neurosurgery, The Second Affiliated Hospital of Naval Medical University, Shanghai, China
| | - Xiao-Xiang Hou
- Department of Neurosurgery, The Second Affiliated Hospital of Naval Medical University, Shanghai, China
| | - Chun-Hui Wang
- Department of Neurosurgery, No. 905 Hospital of PLA Navy, Shanghai, China
| | - Dan-Feng Zhang
- Department of Neurosurgery, The Second Affiliated Hospital of Naval Medical University, Shanghai, China
| | - Li-Jun Hou
- Department of Neurosurgery, The Second Affiliated Hospital of Naval Medical University, Shanghai, China
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