4.7 Article

Bioengineered models of Parkinson's disease using patient-derived dopaminergic neurons exhibit distinct biological profiles in a 3D microenvironment

Journal

CELLULAR AND MOLECULAR LIFE SCIENCES
Volume 79, Issue 2, Pages -

Publisher

SPRINGER BASEL AG
DOI: 10.1007/s00018-021-04047-7

Keywords

3D bioengineered disease model; Dopaminergic neurons; Metabolomics; Transcriptomics; Network biology; Link prediction analysis

Funding

  1. NIH [P41EB027062]
  2. NSF [1337760, 1934553]
  3. Direct For Computer & Info Scie & Enginr
  4. Division of Computing and Communication Foundations [1934553] Funding Source: National Science Foundation
  5. Directorate For Engineering
  6. Div Of Chem, Bioeng, Env, & Transp Sys [1337760] Funding Source: National Science Foundation

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This article introduces a three-dimensional culture system using hiPSCs to study the biology of Parkinson's disease. The results show that this 3D system can mimic the molecular mechanisms of Parkinson's disease and provide insights into novel molecular interactions.
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 alpha-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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