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Accepted (AM)Open Access (License Unspecified), Open
Preprint
Microphysiological engineering of the capillary interface of substantia nigra dopaminergic neurons to study vascular alterations in Parkinson’s Disease
bioRxiv
18 May 2025
Abstract
Parkinson’s Disease (PD) is primarily characterized by α-synuclein pathology, which manifests as intraneuronal inclusions, neuroinflammation, and neurodegeneration. However, emerging evidence also points to significant vascular impairments as a critical aspect of PD pathology, which remains largely underexplored due to the inability of traditional in vitro models to recapitulate such vascular changes. To address this unmet need, here we combine the human organ-on-a-chip technology with the principle of vasculogenic self-assembly to engineer the capillary interface of dopaminergic neurons in the substantia nigra pars compacta of the midbrain. In our proof-of-concept demonstration, we successfully recreated critical neuronal pathology in PD, including α-synuclein aggregation, inflammatory responses, and progressive neuronal degeneration, by exposing our model to specially generated PD-associated α-synuclein preformed fibrils. Importantly, this engineering approach also enables the investigation of progressive vascular changes characteristic of PD, such as endothelial dysfunction, barrier disruption, and vascular regression. Our sophisticated PD model establishes a novel platform for exploring the multifaceted nature of the disease and understanding the complex interplay between neurodegeneration and vascular pathology, offering a unique tool for developing innovative therapeutic strategies that address both the neuronal and vascular components of PD pathology.
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Details
- Title
- Microphysiological engineering of the capillary interface of substantia nigra dopaminergic neurons to study vascular alterations in Parkinson’s Disease
- Creators
- Anika Alim - Binghamton UniversityYoongyeong Baek - Drexel UniversityMyungwoon Lee - Drexel UniversityJungwook Paek - Binghamton University
- Publication Details
- bioRxiv
- Publisher
- Cold Spring Harbor Laboratory
- Edition
- 1.1
- Number of pages
- 32
- Resource Type
- Preprint
- Language
- English
- Academic Unit
- Chemistry
- Other Identifier
- 991022055174104721