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Jothi D, Kulka LAM. Strategies for modeling aging and age-related diseases. NPJ AGING 2024; 10:32. [PMID: 38987252 PMCID: PMC11237002 DOI: 10.1038/s41514-024-00161-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/22/2024] [Accepted: 06/18/2024] [Indexed: 07/12/2024]
Abstract
The ability to reprogram patient-derived-somatic cells to IPSCs (Induced Pluripotent Stem Cells) has led to a better understanding of aging and age-related diseases like Parkinson's, and Alzheimer's. The established patient-derived disease models mimic disease pathology and can be used to design drugs for aging and age-related diseases. However, the age and genetic mutations of the donor cells, the employed reprogramming, and the differentiation protocol might often pose challenges in establishing an appropriate disease model. In this review, we will focus on the various strategies for the successful reprogramming and differentiation of patient-derived cells to disease models for aging and age-related diseases, emphasizing the accuracy in the recapitulation of disease pathology and ways to overcome the limitations of its potential application in cell replacement therapy and drug development.
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Affiliation(s)
- D Jothi
- Department of Biochemistry II, Friedrich Schiller University, Jena, Germany.
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2
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Cerutti L, Brofiga M. Unraveling brain diseases: The promise of brain-on-a-chip models. J Neurosci Methods 2024; 405:110105. [PMID: 38460796 DOI: 10.1016/j.jneumeth.2024.110105] [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: 10/22/2023] [Revised: 02/23/2024] [Accepted: 03/03/2024] [Indexed: 03/11/2024]
Abstract
Brain disorders, encompassing a wide spectrum of neurological and psychiatric conditions, present a formidable challenge in modern medicine. Despite decades of research, the intricate complexity of the human brain still eludes comprehensive understanding, impeding the development of effective treatments. Recent advancements in microfluidics and tissue engineering have led to the development of innovative platforms known as "Brain-on-a-Chip" (BoC) i.e., advanced in vitro systems that aim to replicate the microenvironment of the brain with the highest possible fidelity. This technology offers a promising test-bed for studying brain disorders at the cellular and network levels, providing insights into disease mechanisms, drug screening, and, in perspective, the development of personalized therapeutic strategies. In this review, we provide an overview of the BoC models developed over the years to model and understand the onset and progression of some of the most severe neurological disorders in terms of incidence and debilitation (stroke, Parkinson's, Alzheimer's, and epilepsy). We also report some of the cutting-edge therapeutic approaches whose effects were evaluated by means of these technologies. Finally, we discuss potential challenges, and future perspectives of the BoC models.
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Affiliation(s)
- Letizia Cerutti
- Department of Informatics, Bioengineering, Robotics, and Systems Engineering (DIBIRS), University of Genova, Genova, Italy
| | - Martina Brofiga
- Department of Informatics, Bioengineering, Robotics, and Systems Engineering (DIBIRS), University of Genova, Genova, Italy; ScreenNeuroPharm s.r.l, Sanremo, Italy; Neurofacility, Istituto Italiano di Tecnologia, Genova, Italy.
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3
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De Vitis E, Stanzione A, Romano A, Quattrini A, Gigli G, Moroni L, Gervaso F, Polini A. The Evolution of Technology-Driven In Vitro Models for Neurodegenerative Diseases. ADVANCED SCIENCE (WEINHEIM, BADEN-WURTTEMBERG, GERMANY) 2024; 11:e2304989. [PMID: 38366798 DOI: 10.1002/advs.202304989] [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: 07/21/2023] [Revised: 01/15/2024] [Indexed: 02/18/2024]
Abstract
The alteration in the neural circuits of both central and peripheral nervous systems is closely related to the onset of neurodegenerative disorders (NDDs). Despite significant research efforts, the knowledge regarding NDD pathological processes, and the development of efficacious drugs are still limited due to the inability to access and reproduce the components of the nervous system and its intricate microenvironment. 2D culture systems are too simplistic to accurately represent the more complex and dynamic situation of cells in vivo and have therefore been surpassed by 3D systems. However, both models suffer from various limitations that can be overcome by employing two innovative technologies: organ-on-chip and 3D printing. In this review, an overview of the advantages and shortcomings of both microfluidic platforms and extracellular matrix-like biomaterials will be given. Then, the combination of microfluidics and hydrogels as a new synergistic approach to study neural disorders by analyzing the latest advances in 3D brain-on-chip for neurodegenerative research will be explored.
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Affiliation(s)
- Eleonora De Vitis
- CNR NANOTEC-Institute of Nanotechnology, Campus Ecotekn, via Monteroni, Lecce, 73100, Italy
| | - Antonella Stanzione
- CNR NANOTEC-Institute of Nanotechnology, Campus Ecotekn, via Monteroni, Lecce, 73100, Italy
| | - Alessandro Romano
- IRCCS San Raffaele Scientific Institute, Division of Neuroscience, Institute of Experimental Neurology, Milan, 20132, Italy
| | - Angelo Quattrini
- IRCCS San Raffaele Scientific Institute, Division of Neuroscience, Institute of Experimental Neurology, Milan, 20132, Italy
| | - Giuseppe Gigli
- CNR NANOTEC-Institute of Nanotechnology, Campus Ecotekn, via Monteroni, Lecce, 73100, Italy
- Dipartimento di Medicina Sperimentale, Università Del Salento, Campus Ecotekne, via Monteroni, Lecce, 73100, Italy
| | - Lorenzo Moroni
- CNR NANOTEC-Institute of Nanotechnology, Campus Ecotekn, via Monteroni, Lecce, 73100, Italy
- Complex Tissue Regeneration, Maastricht University, Universiteitssingel 40, Maastricht, 6229 ER, Netherlands
| | - Francesca Gervaso
- CNR NANOTEC-Institute of Nanotechnology, Campus Ecotekn, via Monteroni, Lecce, 73100, Italy
| | - Alessandro Polini
- CNR NANOTEC-Institute of Nanotechnology, Campus Ecotekn, via Monteroni, Lecce, 73100, Italy
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4
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Cao R, Tian H, Tian Y, Fu X. A Hierarchical Mechanotransduction System: From Macro to Micro. ADVANCED SCIENCE (WEINHEIM, BADEN-WURTTEMBERG, GERMANY) 2024; 11:e2302327. [PMID: 38145330 PMCID: PMC10953595 DOI: 10.1002/advs.202302327] [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: 04/12/2023] [Revised: 10/27/2023] [Indexed: 12/26/2023]
Abstract
Mechanotransduction is a strictly regulated process whereby mechanical stimuli, including mechanical forces and properties, are sensed and translated into biochemical signals. Increasing data demonstrate that mechanotransduction is crucial for regulating macroscopic and microscopic dynamics and functionalities. However, the actions and mechanisms of mechanotransduction across multiple hierarchies, from molecules, subcellular structures, cells, tissues/organs, to the whole-body level, have not been yet comprehensively documented. Herein, the biological roles and operational mechanisms of mechanotransduction from macro to micro are revisited, with a focus on the orchestrations across diverse hierarchies. The implications, applications, and challenges of mechanotransduction in human diseases are also summarized and discussed. Together, this knowledge from a hierarchical perspective has the potential to refresh insights into mechanotransduction regulation and disease pathogenesis and therapy, and ultimately revolutionize the prevention, diagnosis, and treatment of human diseases.
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Affiliation(s)
- Rong Cao
- Department of Endocrinology and MetabolismCenter for Diabetes Metabolism ResearchState Key Laboratory of Biotherapy and Cancer CenterWest China Medical SchoolWest China HospitalSichuan University and Collaborative Innovation CenterChengduSichuan610041China
| | - Huimin Tian
- Department of Endocrinology and MetabolismCenter for Diabetes Metabolism ResearchState Key Laboratory of Biotherapy and Cancer CenterWest China Medical SchoolWest China HospitalSichuan University and Collaborative Innovation CenterChengduSichuan610041China
| | - Yan Tian
- Department of Endocrinology and MetabolismCenter for Diabetes Metabolism ResearchState Key Laboratory of Biotherapy and Cancer CenterWest China Medical SchoolWest China HospitalSichuan University and Collaborative Innovation CenterChengduSichuan610041China
| | - Xianghui Fu
- Department of Endocrinology and MetabolismCenter for Diabetes Metabolism ResearchState Key Laboratory of Biotherapy and Cancer CenterWest China Medical SchoolWest China HospitalSichuan University and Collaborative Innovation CenterChengduSichuan610041China
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5
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Balestri W, Sharma R, da Silva VA, Bobotis BC, Curle AJ, Kothakota V, Kalantarnia F, Hangad MV, Hoorfar M, Jones JL, Tremblay MÈ, El-Jawhari JJ, Willerth SM, Reinwald Y. Modeling the neuroimmune system in Alzheimer's and Parkinson's diseases. J Neuroinflammation 2024; 21:32. [PMID: 38263227 PMCID: PMC10807115 DOI: 10.1186/s12974-024-03024-8] [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: 10/26/2023] [Accepted: 01/16/2024] [Indexed: 01/25/2024] Open
Abstract
Parkinson's disease (PD) and Alzheimer's disease (AD) are neurodegenerative disorders caused by the interaction of genetic, environmental, and familial factors. These diseases have distinct pathologies and symptoms that are linked to specific cell populations in the brain. Notably, the immune system has been implicated in both diseases, with a particular focus on the dysfunction of microglia, the brain's resident immune cells, contributing to neuronal loss and exacerbating symptoms. Researchers use models of the neuroimmune system to gain a deeper understanding of the physiological and biological aspects of these neurodegenerative diseases and how they progress. Several in vitro and in vivo models, including 2D cultures and animal models, have been utilized. Recently, advancements have been made in optimizing these existing models and developing 3D models and organ-on-a-chip systems, holding tremendous promise in accurately mimicking the intricate intracellular environment. As a result, these models represent a crucial breakthrough in the transformation of current treatments for PD and AD by offering potential for conducting long-term disease-based modeling for therapeutic testing, reducing reliance on animal models, and significantly improving cell viability compared to conventional 2D models. The application of 3D and organ-on-a-chip models in neurodegenerative disease research marks a prosperous step forward, providing a more realistic representation of the complex interactions within the neuroimmune system. Ultimately, these refined models of the neuroimmune system aim to aid in the quest to combat and mitigate the impact of debilitating neuroimmune diseases on patients and their families.
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Affiliation(s)
- Wendy Balestri
- Department of Engineering, School of Science and Technology, Nottingham Trent University, Nottingham, UK
- Medical Technologies Innovation Facility, Nottingham Trent University, Nottingham, UK
| | - Ruchi Sharma
- Department of Mechanical Engineering, University of Victoria, Victoria, Canada
- Division of Medical Sciences, University of Victoria, Victoria, BC, Canada
- Centre for Advanced Materials and Related Technology (CAMTEC), University of Victoria, Victoria, BC, Canada
| | - Victor A da Silva
- Department of Mechanical Engineering, University of Victoria, Victoria, Canada
- Division of Medical Sciences, University of Victoria, Victoria, BC, Canada
- Centre for Advanced Materials and Related Technology (CAMTEC), University of Victoria, Victoria, BC, Canada
| | - Bianca C Bobotis
- Division of Medical Sciences, University of Victoria, Victoria, BC, Canada
- Centre for Advanced Materials and Related Technology (CAMTEC), University of Victoria, Victoria, BC, Canada
| | - Annabel J Curle
- Department of Clinical Neurosciences, University of Cambridge, Cambridge, UK
| | - Vandana Kothakota
- Department of Biosciences, School of Science and Technology, Nottingham Trent University, Nottingham, UK
| | | | - Maria V Hangad
- Division of Medical Sciences, University of Victoria, Victoria, BC, Canada
- Centre for Advanced Materials and Related Technology (CAMTEC), University of Victoria, Victoria, BC, Canada
- Department of Chemistry, University of Victoria, Victoria, BC, Canada
| | - Mina Hoorfar
- Department of Mechanical Engineering, University of Victoria, Victoria, Canada
| | - Joanne L Jones
- Department of Clinical Neurosciences, University of Cambridge, Cambridge, UK
| | - Marie-Ève Tremblay
- Division of Medical Sciences, University of Victoria, Victoria, BC, Canada
- Centre for Advanced Materials and Related Technology (CAMTEC), University of Victoria, Victoria, BC, Canada
- Neurosciences Axis, Centre de Recherche du CHU de Québec, Université Laval, Québec City, QC, Canada
- Department of Molecular Medicine, Université Laval, Québec City, QC, Canada
- Department of Biochemistry and Molecular Biology, The University of British Columbia, Vancouver, BC, Canada
- Department of Neurology and Neurosurgery, McGill University, Montréal, QC, Canada
- Institute On Aging and Lifelong Health, University of Victoria, Victoria, BC, Canada
| | - Jehan J El-Jawhari
- Department of Biosciences, School of Science and Technology, Nottingham Trent University, Nottingham, UK
- Department of Clinical Pathology, Faculty of Medicine, Mansoura University, Mansoura, Egypt
| | - Stephanie M Willerth
- Department of Mechanical Engineering, University of Victoria, Victoria, Canada.
- Division of Medical Sciences, University of Victoria, Victoria, BC, Canada.
- Centre for Advanced Materials and Related Technology (CAMTEC), University of Victoria, Victoria, BC, Canada.
- School of Biomedical Engineering, University of British Columbia, Vancouver, BC, Canada.
| | - Yvonne Reinwald
- Department of Engineering, School of Science and Technology, Nottingham Trent University, Nottingham, UK.
- Medical Technologies Innovation Facility, Nottingham Trent University, Nottingham, UK.
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6
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Santos-Rebouças CB, Cordovil Cotrin J, Dos Santos Junior GC. Exploring the interplay between metabolomics and genetics in Parkinson's disease: Insights from ongoing research and future avenues. Mech Ageing Dev 2023; 216:111875. [PMID: 37748695 DOI: 10.1016/j.mad.2023.111875] [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: 09/20/2023] [Accepted: 09/21/2023] [Indexed: 09/27/2023]
Abstract
Parkinson's disease (PD) is a widespread neurodegenerative disorder, whose complex aetiology remains under construction. While rare variants have been associated with the monogenic PD form, most PD cases are influenced by multiple genetic and environmental aspects. Nonetheless, the pathophysiological pathways and molecular networks involved in monogenic/idiopathic PD overlap, and genetic variants are decisive in elucidating the convergent underlying mechanisms of PD. In this scenario, metabolomics has furnished a dynamic and systematic picture of the synergy between the genetic background and environmental influences that impact PD, making it a valuable tool for investigating PD-related metabolic dysfunctions. In this review, we performed a brief overview of metabolomics current research in PD, focusing on significant metabolic alterations observed in idiopathic PD from different biofluids and strata and exploring how they relate to genetic factors associated with monogenic PD. Dysregulated amino acid metabolism, lipid metabolism, and oxidative stress are the critical metabolic pathways implicated in both genetic and idiopathic PD. By merging metabolomics and genetics data, it is possible to distinguish metabolic signatures of specific genetic backgrounds and to pinpoint subgroups of PD patients who could derive personalized therapeutic benefits. This approach holds great promise for advancing PD research and developing innovative, cost-effective treatments.
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Affiliation(s)
- Cíntia Barros Santos-Rebouças
- Human Genetics Service, Department of Genetics, Institute of Biology Roberto Alcantara Gomes, Rio de Janeiro State University, Rio de Janeiro, Brazil.
| | - Juliana Cordovil Cotrin
- Human Genetics Service, Department of Genetics, Institute of Biology Roberto Alcantara Gomes, Rio de Janeiro State University, Rio de Janeiro, Brazil
| | - Gilson Costa Dos Santos Junior
- LabMet, Department of Genetics, Institute of Biology Roberto Alcantara Gomes, Rio de Janeiro State University, Rio de Janeiro, Brazil
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7
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Liaudanskaya V, Fiore NJ, Zhang Y, Milton Y, Kelly MF, Coe M, Barreiro A, Rose VK, Shapiro MR, Mullis AS, Shevzov-Zebrun A, Blurton-Jones M, Whalen MJ, Symes AJ, Georgakoudi I, Nieland TJF, Kaplan DL. Mitochondria dysregulation contributes to secondary neurodegeneration progression post-contusion injury in human 3D in vitro triculture brain tissue model. Cell Death Dis 2023; 14:496. [PMID: 37537168 PMCID: PMC10400598 DOI: 10.1038/s41419-023-05980-0] [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: 12/07/2022] [Revised: 06/13/2023] [Accepted: 07/11/2023] [Indexed: 08/05/2023]
Abstract
Traumatic Brain injury-induced disturbances in mitochondrial fission-and-fusion dynamics have been linked to the onset and propagation of neuroinflammation and neurodegeneration. However, cell-type-specific contributions and crosstalk between neurons, microglia, and astrocytes in mitochondria-driven neurodegeneration after brain injury remain undefined. We developed a human three-dimensional in vitro triculture tissue model of a contusion injury composed of neurons, microglia, and astrocytes and examined the contributions of mitochondrial dysregulation to neuroinflammation and progression of injury-induced neurodegeneration. Pharmacological studies presented here suggest that fragmented mitochondria released by microglia are a key contributor to secondary neuronal damage progression after contusion injury, a pathway that requires astrocyte-microglia crosstalk. Controlling mitochondrial dysfunction thus offers an exciting option for developing therapies for TBI patients.
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Affiliation(s)
- Volha Liaudanskaya
- Department of Biomedical Engineering, Tufts University, Medford, MA, USA
| | - Nicholas J Fiore
- Department of Biomedical Engineering, Tufts University, Medford, MA, USA
| | - Yang Zhang
- Department of Biomedical Engineering, Tufts University, Medford, MA, USA
| | - Yuka Milton
- Department of Biomedical Engineering, Tufts University, Medford, MA, USA
| | - Marilyn F Kelly
- Department of Biomedical Engineering, Tufts University, Medford, MA, USA
| | - Marly Coe
- Department of Biomedical Engineering, Tufts University, Medford, MA, USA
| | - Ariana Barreiro
- Department of Biomedical Engineering, Tufts University, Medford, MA, USA
| | - Victoria K Rose
- Department of Biomedical Engineering, Tufts University, Medford, MA, USA
| | - Matthew R Shapiro
- Department of Biomedical Engineering, Tufts University, Medford, MA, USA
| | - Adam S Mullis
- Department of Biomedical Engineering, Tufts University, Medford, MA, USA
| | | | - Mathew Blurton-Jones
- Department of Neurobiology and Behavior, University of California Irvine, Irvine, CA, USA
| | - Michael J Whalen
- Department of Pediatrics, Massachusetts General Hospital, Charlestown, MA, USA
| | - Aviva J Symes
- Department of Pharmacology and Molecular Therapeutics, Uniformed Services University, Bethesda, MD, USA
| | - Irene Georgakoudi
- Department of Biomedical Engineering, Tufts University, Medford, MA, USA
| | - Thomas J F Nieland
- Department of Biomedical Engineering, Tufts University, Medford, MA, USA
| | - David L Kaplan
- Department of Biomedical Engineering, Tufts University, Medford, MA, USA.
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Mullis AS, Kaplan DL. Functional bioengineered tissue models of neurodegenerative diseases. Biomaterials 2023; 298:122143. [PMID: 37146365 PMCID: PMC10209845 DOI: 10.1016/j.biomaterials.2023.122143] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/20/2022] [Revised: 04/27/2023] [Accepted: 05/01/2023] [Indexed: 05/07/2023]
Abstract
Aging-associated neurodegenerative diseases, such as Alzheimer's and Parkinson's diseases remain poorly understood and no disease-modifying treatments exist despite decades of investigation. Predominant in vitro (e.g., 2D cell culture, organoids) and in vivo (e.g., mouse) models of these diseases are insufficient mimics of human brain tissue structure and function and of human neurodegenerative pathobiology, and have thus contributed to this collective translational failure. This has been a longstanding challenge in the field, and new strategies are required to address both fundamental and translational needs. Bioengineered tissue culture models constitute a class of promising alternatives, as they can overcome the low cell density, poor nutrient exchange, and long term culturability limitations of existing in vitro models. Further, they can reconstruct the structural, mechanical, and biochemical cues of native brain tissue, providing a better mimic of human brain tissues for in vitro pathobiological investigation and drug development. We discuss bioengineering techniques for the generation of these neurodegenerative tissue models, including biomaterials-, organoid-, and microfluidics-based approaches, and design considerations for their construction. To aid the development of the next generation of functional neurodegenerative disease models, we discuss approaches to incorporate greater cellular diversity and simulate aging processes within bioengineered brain tissues.
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Affiliation(s)
- Adam S Mullis
- Department of Biomedical Engineering, Tufts University, Medford, MA, 02155, USA.
| | - David L Kaplan
- Department of Biomedical Engineering, Tufts University, Medford, MA, 02155, USA; Allen Discovery Center, Tufts University, Medford, MA, 02155, USA.
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9
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3D biocomposite culture enhances differentiation of dopamine-like neurons from SH-SY5Y cells: A model for studying Parkinson's disease phenotypes. Biomaterials 2022; 290:121858. [PMID: 36272218 DOI: 10.1016/j.biomaterials.2022.121858] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/29/2022] [Revised: 09/30/2022] [Accepted: 10/09/2022] [Indexed: 01/01/2023]
Abstract
Studies of underlying neurodegenerative processes in Parkinson's Disease (PD) have traditionally utilized cell cultures grown on two-dimensional (2D) surfaces. Biomimetic three-dimensional (3D) cell culture platforms have been developed to better emulate features of the brain's natural microenvironment. We here use our bioengineered brain-like tissue model, composed of a silk-hydrogel composite, to study the 3D microenvironment's contributions on the development and performance of dopaminergic-like neurons (DLNs). Compared with 2D culture, SH-SY5Y cells differentiated in 3D microenvironments were enriched for DLNs concomitant with a reduction in proliferative capacity during the neurodevelopmental process. Additionally, the 3D DLN cultures were more sensitive to oxidative stresses elicited by the PD-related neurotoxin 1-methyl-4-phenylpyridinium (MPP). MPP induced transcriptomic profile changes specific to 3D-differentiated DLN cultures, replicating the dysfunction of neuronal signaling pathways and mitochondrial dynamics implicated in PD. Overall, this physiologically-relevant 3D platform resembles a useful tool for studying dopamine neuron biology and interrogating molecular mechanisms underlying neurodegeneration in PD.
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10
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Nikolić L, Ferracin C, Legname G. Recent advances in cellular models for discovering prion disease therapeutics. Expert Opin Drug Discov 2022; 17:985-996. [PMID: 35983689 DOI: 10.1080/17460441.2022.2113773] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022]
Abstract
INTRODUCTION Prion diseases are a group of rare and lethal rapidly progressive neurodegenerative diseases arising due to conversion of the physiological cellular prion protein into its pathological counterparts, denoted as "prions". These agents are resistant to inactivation by standard decontamination procedures and can be transmitted between individuals, consequently driving the irreversible brain damage typical of the diseases. AREAS COVERED Since its infancy, prion research has mainly depended on animal models for untangling the pathogenesis of the disease as well as for the drug development studies. With the advent of prion-infected cell lines, relevant animal models have been complemented by a variety of cell-based models presenting a much faster, ethically acceptable alternative. EXPERT OPINION To date, there are still either no effective prophylactic regimens or therapies for human prion diseases. Therefore, there is an urgent need for more relevant cellular models that best approximate in vivo models. Each cellular model presented and discussed in detail in this review has its own benefits and limitations. Once embarking in a drug screening campaign for the identification of molecules that could interfere with prion conversion and replication, one should carefully consider the ideal cellular model.
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Affiliation(s)
- Lea Nikolić
- PhD Student in Functional and Structural Genomics, Laboratory of Prion Biology, Department of Neuroscience, Scuola Internazionale Superiore di Studi Avanzati (SISSA), Trieste, Italy,
| | - Chiara Ferracin
- PhD Student in Functional and Structural Genomics, Laboratory of Prion Biology, Department of Neuroscience, Scuola Internazionale Superiore di Studi Avanzati (SISSA), Trieste, Italy
| | - Giuseppe Legname
- D.Phil., Full Professor of Biochemistry, Laboratory of Prion Biology, Department of Neuroscience, Scuola Internazionale Superiore di Studi Avanzati (SISSA), Trieste, Italy
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11
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Oun A, Sabogal-Guaqueta AM, Galuh S, Alexander A, Kortholt A, Dolga AM. The multifaceted role of LRRK2 in Parkinson's disease: From human iPSC to organoids. Neurobiol Dis 2022; 173:105837. [PMID: 35963526 DOI: 10.1016/j.nbd.2022.105837] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/07/2022] [Revised: 07/21/2022] [Accepted: 08/06/2022] [Indexed: 11/28/2022] Open
Abstract
Parkinson's disease (PD) is the second most common neurodegenerative disease affecting elderly people. Pathogenic mutations in Leucine-Rich Repeat Kinase 2 (LRRK2) are the most common cause of autosomal dominant PD. LRRK2 activity is enhanced in both familial and idiopathic PD, thereby studies on LRRK2-related PD research are essential for understanding PD pathology. Finding an appropriate model to mimic PD pathology is crucial for revealing the molecular mechanisms underlying disease progression, and aiding drug discovery. In the last few years, the use of human-induced pluripotent stem cells (hiPSCs) grew exponentially, especially in studying neurodegenerative diseases like PD, where working with brain neurons and glial cells was mainly possible using postmortem samples. In this review, we will discuss the use of hiPSCs as a model for PD pathology and research on the LRRK2 function in both neuronal and immune cells, together with reviewing the recent advances in 3D organoid models and microfluidics.
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Affiliation(s)
- Asmaa Oun
- Department of Molecular Pharmacology, Faculty of Science and Engineering, Groningen Research Institute of Pharmacy (GRIP), University of Groningen, Groningen, the Netherlands; Department of Cell Biochemistry, Groningen Institute of Biomolecular Sciences & Biotechnology (GBB), University of Groningen, Groningen, the Netherlands; Department of Biotechnology, Institute of Graduate Studies and Research, Alexandria University, Alexandria, Egypt
| | - Angelica Maria Sabogal-Guaqueta
- Department of Molecular Pharmacology, Faculty of Science and Engineering, Groningen Research Institute of Pharmacy (GRIP), University of Groningen, Groningen, the Netherlands
| | - Sekar Galuh
- Department of Molecular Pharmacology, Faculty of Science and Engineering, Groningen Research Institute of Pharmacy (GRIP), University of Groningen, Groningen, the Netherlands
| | - Anastasia Alexander
- Department of Molecular Pharmacology, Faculty of Science and Engineering, Groningen Research Institute of Pharmacy (GRIP), University of Groningen, Groningen, the Netherlands
| | - Arjan Kortholt
- Department of Cell Biochemistry, Groningen Institute of Biomolecular Sciences & Biotechnology (GBB), University of Groningen, Groningen, the Netherlands; YETEM-Innovative Technologies Application and Research Centre Suleyman Demirel University, Isparta, Turkey.
| | - Amalia M Dolga
- Department of Molecular Pharmacology, Faculty of Science and Engineering, Groningen Research Institute of Pharmacy (GRIP), University of Groningen, Groningen, the Netherlands.
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