ArticleCellular and molecular life sciences : CMLS2022
Bioengineered models of Parkinson's disease using patient-derived dopaminergic neurons exhibit distinct biological profiles in a 3D microenvironment.
Article in Cellular and molecular life sciences : CMLS, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed, 22 citations in OpenAlex.
- Methods for a bioengineered 3D human brain-like tissue model of neuroregeneration after traumatic brain injury.Neural regeneration research · 2026Article
- Engineering Silk Fibroin-Based Biomaterials for Neural Repair.Advanced materials (Deerfield Beach, Fla.) · 2026Review
- A modular silk-collagen scaffold to model dorsoventral spinal cord organization using human pluripotent stem cells.Journal of materials chemistry. B · 2026Article
- Molecular abnormalities scale across three models of cerebral injury.Frontiers in molecular neuroscience · 2026Article
- Bridging the prevention gap: funding distribution and methodological shifts in prevention-focused biomedical research under EU framework programmes.Journal of translational medicine · 2025Article
- Two- and Three-Dimensional In Vitro Models of Parkinson's and Alzheimer's Diseases: State-of-the-Art and Applications.International journal of molecular sciences · 2025Review
- Multidisciplinary approaches in electronic nicotine delivery systems pulmonary toxicology: emergence of living and non-living bioinspired engineered systems.Communications engineering · 2024Review
- Strategies for modeling aging and age-related diseases.npj aging · 2024Review
- The Evolution of Technology-Driven In Vitro Models for Neurodegenerative Diseases.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024Review
- A Hierarchical Mechanotransduction System: From Macro to Micro.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024Review
- Modeling the neuroimmune system in Alzheimer's and Parkinson's diseases.Journal of neuroinflammation · 2024Review
- Mitochondria dysregulation contributes to secondary neurodegeneration progression post-contusion injury in human 3D in vitro triculture brain tissue model.Cell death & disease · 2023Article
- Functional bioengineered tissue models of neurodegenerative diseases.Biomaterials · 2023Review
Corrections and comments
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Authors and funding
11 authors at 2 institutions in 1 country.
Funding
Abstract
Three-dimensional (3D) in vitro culture systems using human induced pluripotent stem cells (hiPSCs) are useful tools to model neurodegenerative disease biology in physiologically relevant microenvironments. Though many successful biomaterials-based 3D model systems have been established for other neurogenerative diseases, such as Alzheimer's disease, relatively few exist for Parkinson's disease (PD) research. We employed tissue engineering approaches to construct a 3D silk scaffold-based platform for the culture of hiPSC-dopaminergic (DA) neurons derived from healthy individuals and PD patients harboring LRRK2 G2019S or GBA N370S mutations. We then compared results from protein, gene expression, and metabolic analyses obtained from two-dimensional (2D) and 3D culture systems. The 3D platform enabled the formation of dense dopamine neuronal network architectures and developed biological profiles both similar and distinct from 2D culture systems in healthy and PD disease lines. PD cultures developed in 3D platforms showed elevated levels of α-synuclein and alterations in purine metabolite profiles. Furthermore, computational network analysis of transcriptomic networks nominated several novel molecular interactions occurring in neurons from patients with mutations in LRRK2 and GBA. We conclude that the brain-like 3D system presented here is a realistic platform to interrogate molecular mechanisms underlying PD biology.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.