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Chen Y, Menegas W, Zhang Q, Feng G. Common marmoset: An emerging non-human primate model for translational applications in brain disorders. Curr Opin Neurobiol 2025; 92:102998. [PMID: 40090137 DOI: 10.1016/j.conb.2025.102998] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2024] [Revised: 02/15/2025] [Accepted: 02/17/2025] [Indexed: 03/18/2025]
Abstract
One of the fundamental challenges for modern neuroscience has been to translate discoveries from model organisms into effective therapeutics for human brain disorders. This challenge partly arises from the structural and functional differences between rodent and human brains [1]. To bridge this gap, non-human primates (NHPs) can be used as an intermediate step because of their genetic, physiological, and behavioral similarities to humans. Among NHPs, the common marmoset has become a valuable animal model in neuroscience research due to its fast generation time and unique biological and behavioral characteristics [2]. In this review, we first summarize the progress toward developing models for brain disorders. We then discuss emerging technologies and resources that will help advance our understanding of the neurobiological mechanisms underlying different brain disorders using marmoset genetic models. Finally, we describe using marmoset models to test novel therapeutic approaches such as gene therapy and neural circuit manipulation.
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Affiliation(s)
- Yefei Chen
- Yang Tan Collective, McGovern Institute for Brain Research, Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA; Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, 02142, USA
| | - William Menegas
- Yang Tan Collective, McGovern Institute for Brain Research, Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA; Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, 02142, USA
| | - Qiangge Zhang
- Yang Tan Collective, McGovern Institute for Brain Research, Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA; Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, 02142, USA
| | - Guoping Feng
- Yang Tan Collective, McGovern Institute for Brain Research, Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA; Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, 02142, USA.
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2
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Liu Y, Jia H, Sun H, Jia S, Yang Z, Li A, Jiang A, Naya Y, Yang C, Xue S, Li X, Chen B, Zhu J, Zhou C, Li M, Duan X. A high-density 1,024-channel probe for brain-wide recordings in non-human primates. Nat Neurosci 2024; 27:1620-1631. [PMID: 38914829 DOI: 10.1038/s41593-024-01692-6] [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: 03/24/2023] [Accepted: 05/23/2024] [Indexed: 06/26/2024]
Abstract
Large-scale neural population recordings with single-cell resolution across the primate brain remain challenging. Here we introduce the Neuroscroll probe that isolates single neuronal activities simultaneously from 1,024 densely spaced channels that are flexibly distributed across the shank of the probe. The Neuroscroll probe length is easily tunable for individual probes from 10 mm to 90 mm, covering the brain size of non-human primates and humans, and the probes remain intact and functional after repeated bending deformations. The Neuroscroll probes provided reliable recordings from large neural populations with high chronic stability up to 105 weeks in rats. Recording with each Neuroscroll probe yielded hundreds of well-isolated single units simultaneously from multiple brain regions distributed across the entire depth of the rhesus macaque brain. With the thousand simultaneously recorded channels, unprecedented probe length, excellent mechanical stability and flexible recording site distribution, the Neuroscroll probes enable a wide range of new experimental paradigms in system neuroscience studies with great versatility.
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Affiliation(s)
- Yang Liu
- Department of Biomedical Engineering, College of Future Technology, Peking University, Beijing, China
| | - Huilin Jia
- Department of Biomedical Engineering, College of Future Technology, Peking University, Beijing, China
| | - Hongji Sun
- Department of Biomedical Engineering, College of Future Technology, Peking University, Beijing, China
| | - Shengyi Jia
- Department of Biomedical Engineering, College of Future Technology, Peking University, Beijing, China
| | - Ziqian Yang
- Department of Biomedical Engineering, College of Future Technology, Peking University, Beijing, China
- Academy for Advanced Interdisciplinary Studies, Peking University, Beijing, China
| | - Ao Li
- School of Psychological and Cognitive Sciences, Peking University, Beijing, China
| | - Anqi Jiang
- Department of Biomedical Engineering, College of Future Technology, Peking University, Beijing, China
| | - Yuji Naya
- School of Psychological and Cognitive Sciences, Peking University, Beijing, China
- PKU-IDG/McGovern Institute for Brain Research, Beijing Key Laboratory of Behavioral and Mental Health, Peking University, Beijing, China
| | - Cen Yang
- School of Psychological and Cognitive Sciences, Peking University, Beijing, China
| | - Shengyuan Xue
- School of Psychological and Cognitive Sciences, Peking University, Beijing, China
| | - Xiaojian Li
- CAS Key Laboratory of Brain Connectome and Manipulation, Brain Cognition and Brain Disease Institute (BCBDI), Shenzhen Institute of Advanced Technology, Shenzhen-Hong Kong Institute of Brain Science-Shenzhen Fundamental Research Institutions, Shenzhen, China
| | - Bingyan Chen
- CAS Key Laboratory of Brain Connectome and Manipulation, Brain Cognition and Brain Disease Institute (BCBDI), Shenzhen Institute of Advanced Technology, Shenzhen-Hong Kong Institute of Brain Science-Shenzhen Fundamental Research Institutions, Shenzhen, China
| | - Jingjun Zhu
- Department of Biomedical Engineering, College of Future Technology, Peking University, Beijing, China
- National Biomedical Imaging Centre, Peking University, Beijing, China
| | - Chenghao Zhou
- Department of Biomedical Engineering, College of Future Technology, Peking University, Beijing, China
- Academy for Advanced Interdisciplinary Studies, Peking University, Beijing, China
| | - Minning Li
- Department of Biomedical Engineering, College of Future Technology, Peking University, Beijing, China
- Academy for Advanced Interdisciplinary Studies, Peking University, Beijing, China
| | - Xiaojie Duan
- Department of Biomedical Engineering, College of Future Technology, Peking University, Beijing, China.
- Academy for Advanced Interdisciplinary Studies, Peking University, Beijing, China.
- National Biomedical Imaging Centre, Peking University, Beijing, China.
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3
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Michór P, Renardson L, Li S, Boltze J. Neurorestorative Approaches for Ischemic StrokeChallenges, Opportunities, and Recent Advances. Neuroscience 2024; 550:69-78. [PMID: 38763225 DOI: 10.1016/j.neuroscience.2024.05.009] [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: 11/11/2023] [Revised: 05/07/2024] [Accepted: 05/09/2024] [Indexed: 05/21/2024]
Abstract
Despite recent advances in acute stroke management, most patients experiencing a stroke will suffer from residual brain damage and functional impairment. Addressing those residual deficits would require neurorestoration, i.e., rebuilding brain tissue to repair the structural brain damage caused by stroke. However, there are major pathobiological, anatomical and technological hurdles making neurorestorative approaches remarkably challenging, and true neurorestoration after larger ischemic lesions could not yet be achieved. On the other hand, there has been steady advancement in our understanding of the limits of tissue regeneration in the adult mammalian brain as well as of the fundamental organization of brain tissue growth during embryo- and ontogenesis. This has been paralleled by the development of novel animal models to study stroke, advancement of biomaterials that can be used to support neurorestoration, and in stem cell technologies. This review gives a detailed explanation of the major hurdles so far preventing the achievement of neurorestoration after stroke. It will also describe novel concepts and advancements in biomaterial science, brain organoid culturing, and animal modeling that may enable the investigation of post-stroke neurorestorative approaches in translationally relevant setups. Finally, there will be a review of recent achievements in experimental studies that have the potential to be the starting point of research and development activities that may eventually bring post-stroke neurorestoration within reach.
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Affiliation(s)
- Paulina Michór
- University of Warwick, School of Life Sciences, Coventry CV4 7AL, United Kingdom
| | - Lydia Renardson
- University of Warwick, Warwick Medical School, Coventry CV4 7AL, United Kingdom
| | - Shen Li
- Department of Neurology and Psychiatry, Beijing Shijitan Hospital, Capital Medical University, Beijing, China; Beijing Institute of Brain Disorders, Capital Medical University, Beijing, China
| | - Johannes Boltze
- University of Warwick, School of Life Sciences, Coventry CV4 7AL, United Kingdom.
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Cooley MB, Wegierak D, Exner AA. Using imaging modalities to predict nanoparticle distribution and treatment efficacy in solid tumors: The growing role of ultrasound. WILEY INTERDISCIPLINARY REVIEWS. NANOMEDICINE AND NANOBIOTECHNOLOGY 2024; 16:e1957. [PMID: 38558290 PMCID: PMC11006412 DOI: 10.1002/wnan.1957] [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: 04/26/2023] [Revised: 12/22/2023] [Accepted: 02/27/2024] [Indexed: 04/04/2024]
Abstract
Nanomedicine in oncology has not had the success in clinical impact that was anticipated in the early stages of the field's development. Ideally, nanomedicines selectively accumulate in tumor tissue and reduce systemic side effects compared to traditional chemotherapeutics. However, this has been more successful in preclinical animal models than in humans. The causes of this failure to translate may be related to the intra- and inter-patient heterogeneity of the tumor microenvironment. Predicting whether a patient will respond positively to treatment prior to its initiation, through evaluation of characteristics like nanoparticle extravasation and retention potential in the tumor, may be a way to improve nanomedicine success rate. While there are many potential strategies to accomplish this, prediction and patient stratification via noninvasive medical imaging may be the most efficient and specific strategy. There have been some preclinical and clinical advances in this area using MRI, CT, PET, and other modalities. An alternative approach that has not been studied as extensively is biomedical ultrasound, including techniques such as multiparametric contrast-enhanced ultrasound (mpCEUS), doppler, elastography, and super-resolution processing. Ultrasound is safe, inexpensive, noninvasive, and capable of imaging the entire tumor with high temporal and spatial resolution. In this work, we summarize the in vivo imaging tools that have been used to predict nanoparticle distribution and treatment efficacy in oncology. We emphasize ultrasound imaging and the recent developments in the field concerning CEUS. The successful implementation of an imaging strategy for prediction of nanoparticle accumulation in tumors could lead to increased clinical translation of nanomedicines, and subsequently, improved patient outcomes. This article is categorized under: Diagnostic Tools In Vivo Nanodiagnostics and Imaging Therapeutic Approaches and Drug Discovery Nanomedicine for Oncologic Disease Therapeutic Approaches and Drug Discovery Emerging Technologies.
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Affiliation(s)
- Michaela B Cooley
- Department of Biomedical Engineering, Case Western Reserve University, Cleveland, Ohio, USA
| | - Dana Wegierak
- Department of Biomedical Engineering, Case Western Reserve University, Cleveland, Ohio, USA
| | - Agata A Exner
- Department of Biomedical Engineering, Case Western Reserve University, Cleveland, Ohio, USA
- Department of Radiology, Case Western Reserve University and University Hospitals of Cleveland, Cleveland, Ohio, USA
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Wei S, Jiang A, Sun H, Zhu J, Jia S, Liu X, Xu Z, Zhang J, Shang Y, Fu X, Li G, Wang P, Xia Z, Jiang T, Cao A, Duan X. Shape-changing electrode array for minimally invasive large-scale intracranial brain activity mapping. Nat Commun 2024; 15:715. [PMID: 38267440 PMCID: PMC10808108 DOI: 10.1038/s41467-024-44805-2] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2023] [Accepted: 01/03/2024] [Indexed: 01/26/2024] Open
Abstract
Large-scale brain activity mapping is important for understanding the neural basis of behaviour. Electrocorticograms (ECoGs) have high spatiotemporal resolution, bandwidth, and signal quality. However, the invasiveness and surgical risks of electrode array implantation limit its application scope. We developed an ultrathin, flexible shape-changing electrode array (SCEA) for large-scale ECoG mapping with minimal invasiveness. SCEAs were inserted into cortical surfaces in compressed states through small openings in the skull or dura and fully expanded to cover large cortical areas. MRI and histological studies on rats proved the minimal invasiveness of the implantation process and the high chronic biocompatibility of the SCEAs. High-quality micro-ECoG activities mapped with SCEAs from male rodent brains during seizures and canine brains during the emergence period revealed the spatiotemporal organization of different brain states with resolution and bandwidth that cannot be achieved using existing noninvasive techniques. The biocompatibility and ability to map large-scale physiological and pathological cortical activities with high spatiotemporal resolution, bandwidth, and signal quality in a minimally invasive manner offer SCEAs as a superior tool for applications ranging from fundamental brain research to brain-machine interfaces.
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Affiliation(s)
- Shiyuan Wei
- Department of Biomedical Engineering, College of Future Technology, Peking University, Beijing, 100871, China
- Academy for Advanced Interdisciplinary Studies, Peking University, Beijing, 100871, China
| | - Anqi Jiang
- Department of Biomedical Engineering, College of Future Technology, Peking University, Beijing, 100871, China
| | - Hongji Sun
- Department of Biomedical Engineering, College of Future Technology, Peking University, Beijing, 100871, China
| | - Jingjun Zhu
- Department of Biomedical Engineering, College of Future Technology, Peking University, Beijing, 100871, China
- National Biomedical Imaging Centre, Peking University, Beijing, 100871, China
| | - Shengyi Jia
- Department of Biomedical Engineering, College of Future Technology, Peking University, Beijing, 100871, China
| | - Xiaojun Liu
- Department of Biomedical Engineering, College of Future Technology, Peking University, Beijing, 100871, China
| | - Zheng Xu
- Department of Biomedical Engineering, College of Future Technology, Peking University, Beijing, 100871, China
| | - Jing Zhang
- Department of Biomedical Engineering, College of Future Technology, Peking University, Beijing, 100871, China
- Academy for Advanced Interdisciplinary Studies, Peking University, Beijing, 100871, China
| | - Yuanyuan Shang
- Key Laboratory of Material Physics, Ministry of Education, School of Physics and Microelectronics, Zhengzhou University, Zhengzhou, 450052, China
| | - Xuefeng Fu
- Department of Biomedical Engineering, College of Future Technology, Peking University, Beijing, 100871, China
| | - Gen Li
- Department of Biomedical Engineering, College of Future Technology, Peking University, Beijing, 100871, China
| | - Puxin Wang
- Department of Biomedical Engineering, College of Future Technology, Peking University, Beijing, 100871, China
- Academy for Advanced Interdisciplinary Studies, Peking University, Beijing, 100871, China
| | - Zhiyuan Xia
- School of Materials Science and Engineering, Peking University, Beijing, China
| | - Tianzi Jiang
- Brainnetome Centre, Institute of Automation, Chinese Academy of Sciences (CAS), Beijing, 100190, China
| | - Anyuan Cao
- School of Materials Science and Engineering, Peking University, Beijing, China
| | - Xiaojie Duan
- Department of Biomedical Engineering, College of Future Technology, Peking University, Beijing, 100871, China.
- Academy for Advanced Interdisciplinary Studies, Peking University, Beijing, 100871, China.
- National Biomedical Imaging Centre, Peking University, Beijing, 100871, China.
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6
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Kang MS, Hamadjida A, Bédard D, Nuara SG, Gourdon JC, Frey S, Aliaga A, Ross K, Hopewell R, Bdair H, Mathieu A, Tardif CL, Soucy JP, Massarweh G, Rosa-Neto P, Huot P. Distribution of [ 11C]-JNJ-42491293 in the marmoset brain: a positron emission tomography study. NAUNYN-SCHMIEDEBERG'S ARCHIVES OF PHARMACOLOGY 2023; 396:2095-2103. [PMID: 36928556 DOI: 10.1007/s00210-023-02458-w] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/05/2023] [Accepted: 03/06/2023] [Indexed: 03/18/2023]
Abstract
JNJ-42491293 is a metabotropic glutamate 2 (mGlu2) positive allosteric modulator (PAM) that was radiolabelled with [11C]- to serve as a positron emission tomography (PET) ligand. Indeed, in vitro, the molecule displays high selectivity at mGlu2 receptors. However, PET experiments performed in rats, macaques and humans, have suggested that [11C]-JNJ-42491293 could interact with an unidentified, non-mGlu2 receptor binding site. The brain distribution of [11C]-JNJ-42491293 has not been determined in the brain of the common marmoset, a small non-human primate increasingly used in neuroscience research. Here, we investigated the distribution of [11C]-JNJ-42491293 in the marmoset brain. Three marmosets underwent brain magnetic resonance imaging (MRI) and 90-min dynamic PET scans with [11C]-JNJ-42491293 in combination with vehicle or the mGlu2 PAM AZD8529 (0.1, 1 and 10 mg/kg). In the scans in which [11C]-JNJ-42491293 was co-administered with vehicle, the brain areas with the highest standardised uptake values (SUVs) were the midbrain, cerebellum and thalamus, while the lowest SUVs were found in the pons. The addition of AZD8529 (0.1, 1 and 10 mg/kg) to [11C]-JNJ-42491293 did not modify the SUVs obtained with [11C]-JNJ-42491293 alone, and ex vivo blocking autoradiography with PAM AZD8529 (10, 100, 300 µM) on marmoset brain sections showed increased signals in the blocking conditions compared to vehicle, suggesting that no competition occurred between the 2 ligands. The results we obtained here do not suggest that [11C]-JNJ-42491293 interacts selectively, or even at all, with mGlu2 receptors in the marmoset, in agreement with findings previously reported in macaque and human.
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Affiliation(s)
- Min Su Kang
- Translational Neuroimaging Laboratory, McGill University Research Centre for Studies in Aging, Montreal, QC, Canada
- Douglas Research Centre, McGill University, Montreal, QC, Canada
- Artificial Intelligence and Computational Neurosciences Lab, Sunnybrook Research Institute, University of Toronto, Toronto, ON, Canada
- LC Campbell Cognitive Neurology Unit, Hurvitz Brain Sciences Program, Sunnybrook Research Institute, University of Toronto, Toronto, ON, Canada
| | - Adjia Hamadjida
- Neurodegenerative Disease Group, Montreal Neurological Institute-Hospital (The Neuro), 3801 University St, Montreal, QC, H3A 2B4, Canada
| | - Dominique Bédard
- Neurodegenerative Disease Group, Montreal Neurological Institute-Hospital (The Neuro), 3801 University St, Montreal, QC, H3A 2B4, Canada
| | - Stephen G Nuara
- Comparative Medicine & Animal Resource Centre, McGill University, Montreal, QC, Canada
| | - Jim C Gourdon
- Comparative Medicine & Animal Resource Centre, McGill University, Montreal, QC, Canada
| | | | - Arturo Aliaga
- Translational Neuroimaging Laboratory, McGill University Research Centre for Studies in Aging, Montreal, QC, Canada
- Douglas Research Centre, McGill University, Montreal, QC, Canada
- McConnell Brain Imaging Centre, Montreal Neurological Institute-Hospital (The Neuro), Montreal, QC, Canada
| | - Karen Ross
- Neurodegenerative Disease Group, Montreal Neurological Institute-Hospital (The Neuro), 3801 University St, Montreal, QC, H3A 2B4, Canada
- McConnell Brain Imaging Centre, Montreal Neurological Institute-Hospital (The Neuro), Montreal, QC, Canada
| | - Robert Hopewell
- McConnell Brain Imaging Centre, Montreal Neurological Institute-Hospital (The Neuro), Montreal, QC, Canada
| | - Hussein Bdair
- Neurodegenerative Disease Group, Montreal Neurological Institute-Hospital (The Neuro), 3801 University St, Montreal, QC, H3A 2B4, Canada
| | - Axel Mathieu
- Douglas Research Centre, McGill University, Montreal, QC, Canada
| | - Christine Lucas Tardif
- Neurodegenerative Disease Group, Montreal Neurological Institute-Hospital (The Neuro), 3801 University St, Montreal, QC, H3A 2B4, Canada
- McConnell Brain Imaging Centre, Montreal Neurological Institute-Hospital (The Neuro), Montreal, QC, Canada
| | - Jean-Paul Soucy
- Neurodegenerative Disease Group, Montreal Neurological Institute-Hospital (The Neuro), 3801 University St, Montreal, QC, H3A 2B4, Canada
- McConnell Brain Imaging Centre, Montreal Neurological Institute-Hospital (The Neuro), Montreal, QC, Canada
| | - Gassan Massarweh
- Neurodegenerative Disease Group, Montreal Neurological Institute-Hospital (The Neuro), 3801 University St, Montreal, QC, H3A 2B4, Canada
- McConnell Brain Imaging Centre, Montreal Neurological Institute-Hospital (The Neuro), Montreal, QC, Canada
| | - Pedro Rosa-Neto
- Translational Neuroimaging Laboratory, McGill University Research Centre for Studies in Aging, Montreal, QC, Canada
- Douglas Research Centre, McGill University, Montreal, QC, Canada
- Neurodegenerative Disease Group, Montreal Neurological Institute-Hospital (The Neuro), 3801 University St, Montreal, QC, H3A 2B4, Canada
- McConnell Brain Imaging Centre, Montreal Neurological Institute-Hospital (The Neuro), Montreal, QC, Canada
- Department of Neurology and Neurosurgery, McGill University, Montreal, QC, Canada
| | - Philippe Huot
- Neurodegenerative Disease Group, Montreal Neurological Institute-Hospital (The Neuro), 3801 University St, Montreal, QC, H3A 2B4, Canada.
- Department of Neurology and Neurosurgery, McGill University, Montreal, QC, Canada.
- Movement Disorder Clinic, Division of Neurology, Department of Neurosciences, McGill University Health Centre, Montreal, QC, Canada.
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