ORIGINAL RESEARCH article
Front. Comput. Neurosci.
Volume 19 - 2025 | doi: 10.3389/fncom.2025.1594330
This article is part of the Research TopicInterdisciplinary Synergies in Neuroinformatics, Cognitive Computing, and Computational NeuroscienceView all articles
Constraint-Based Modelling of Bioenergetic Differences between Synaptic and Non-Synaptic Components of Dopaminergic Neurons in Parkinson's Disease
Provisionally accepted- 1Department of Medicine, School of Medicine, University of Galway, Galway, County Galway, Ireland
- 2New York University Abu Dhabi, Abu Dhabi, United Arab Emirates
- 3University of Galway, Galway, Ireland
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Emerging evidence suggests that different metabolic characteristics, particularly bioenergetic differences, between the synaptic terminal and soma may contribute to the selective vulnerability of dopaminergic neurons in patients with Parkinson’s disease (PD). To investigate the metabolic differences, we generated four thermodynamically flux-consistent metabolic models representing the synaptic and non-synaptic (somatic) components under both control and PD conditions. Bioenergetic analyses across all models predicted that oxidative phosphorylation plays a significant role under lower energy demand, while glycolysis predominates when energy demand exceeded mitochondrial constraints. The synaptic PD model predicted a lower mitochondrial energy contribution and higher sensitivity to Complex I inhibition compared to the non-synaptic PD model, highlighting the bioenergetic differences between these neuronal components. Altered fluxes in several exchanged metabolites in two PD models were consistent with variations in metabolite concentrations observed in the cerebrospinal fluid of PD patients. Specifically, both PD models predicted reduced uptake of lysine and lactate, indicating coordinated metabolic processes between these components. In contrast, decreased methionine and urea uptake was exclusively predicted in the synaptic PD model, while decreased histidine and glyceric acid uptake was exclusive to the non-synaptic PD model, suggesting distinct potential metabolic patterns in these regions. Furthermore, increased flux of the mitochondrial ornithine transaminase reaction (ORNTArm), which converts oxoglutaric acid and ornithine into glutamate-5-semialdehyde and glutamate, was predicted to rescue bioenergetic failure and improve metabolite exchanges for both the synaptic and non-synaptic PD models. Further research is needed to validate these dysfunction mechanisms across different components of dopaminergic neurons and to explore targeted therapeutic strategies for PD patients.
Keywords: Parkinson's disease 1, bioenergetic 2, synaptic 3, non-synaptic 4, modelling 5
Received: 15 Mar 2025; Accepted: 14 May 2025.
Copyright: © 2025 Luo, El Assal, Liu, Ranjbar and Fleming. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence: Ronan MT Fleming, Department of Medicine, School of Medicine, University of Galway, Galway, H91 TK33, County Galway, Ireland
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