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A microfluidic co-culture platform to generate synaptically separated networks that uncover the role of astrocytes in the initiation and progression of neuron pathology

ABSTRACT: Communication between astrocytes and neurons plays a pivotal role in the development, maintenance and dysfunction of cellular networks within the central nervous system. Further understanding the contribution of astrocytes to the initiation and progression of neuropathology has, however, been hindered by the complexity of cell networks in traditional in vivo and ex vivo systems. We have designed and constructed a novel three-compartment microfluidic cell culture device that enables us to overcome these limitations and uncouple the roles of astrocytes and neurons in the transfer of pathology through complex cell networks. Our microfluidic device integrates a novel maze-like structure that prevents synaptic connectivity between two fluidically isolated neuron populations, while allowing astrocyte infiltration and growth throughout. We use primary neuron/astrocyte co-cultures, proteomic analysis and immunocytochemistry to validate the application of this device. Using this device, we identify and describe a novel calcium-dependent role for astrocytes in the transfer of excitotoxic pathology between the segregated neuron populations.

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ORGANISM(S): Rattus Norvegicus (rat)

TISSUE(S): Cell Culture

SUBMITTER: Richard Wilson

LAB HEAD: Dr Richard Wilson

PROVIDER: PXD055523 | Pride | 2026-06-08

REPOSITORIES: Pride

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Microfluidic co-culture system for synaptically segregated neural networks to explore astrocyte-driven neural pathology.

Yap Yiing C YC Musgrove Ruth E RE Breadmore Michael C MC Guijt Rosanne M RM Wilson Richard R Wertheimer Graeme G King Anna E AE Dickson Tracey C TC

Microsystems & nanoengineering 20260514 1

Investigating astrocyte-neuron communication in the absence of neuron-to-neuron signalling is challenging using traditional culture systems due to the complexity of synaptic networks. To address this, we designed a three-compartment microfluidic co-culture device that fluidically isolates two neuronal populations while permitting astrocyte growth throughout. This design enables assessment of astrocyte-specific contributions to neuropathology between synaptically segregated neurons. The device in ...[more]

PMID: 42129138

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Project description:Aubert2005 - Interaction between astrocytes and neurons on energy metabolism Enocded non-curated model. Issues: - Confusing equations A.41 and A.42 - Missing values for parameters Vv,0 and dHb,0 This model is described in the article: Interaction between astrocytes and neurons studied using a mathematical model of compartmentalized energy metabolism. Aubert A, Costalat R. J. Cereb. Blood Flow Metab. 2005 Nov; 25(11): 1476-1490 Abstract: Understanding cerebral energy metabolism in neurons and astrocytes is necessary for the interpretation of functional brain imaging data. It has been suggested that astrocytes can provide lactate as an energy fuel to neurons, a process referred to as astrocyte-neuron lactate shuttle (ANLS). Some authors challenged this hypothesis, defending the classical view that glucose is the major energy substrate of neurons, at rest as well as in response to a stimulation. To test the ANLS hypothesis from a theoretical point of view, we developed a mathematical model of compartmentalized energy metabolism between neurons and astrocytes, adopting hypotheses highly unfavorable to ANLS. Simulation results can be divided between two groups, depending on the relative neuron versus astrocyte stimulation. If this ratio is low, ANLS is observed during all the stimulus and poststimulus periods (continuous ANLS), but a high ratio induces ANLS only at the beginning of the stimulus and during the poststimulus period (triphasic behavior). Finally, our results show that current experimental data on lactate kinetics are compatible with the ANLS hypothesis, and that it is essential to assess the neuronal and astrocytic NADH/NAD+ ratio changes to test the ANLS hypothesis. This model is hosted on BioModels Database and identified by: MODEL1411210000. To cite BioModels Database, please use: BioModels Database: An enhanced, curated and annotated resource for published quantitative kinetic models. To the extent possible under law, all copyright and related or neighbouring rights to this encoded model have been dedicated to the public domain worldwide. Please refer to CC0 Public Domain Dedication for more information.

Project description:MartínJiménez2017 - Genome-scale reconstruction of the human astrocyte metabolic network This model is described in the article: Genome-Scale Reconstruction of the Human Astrocyte Metabolic Network. Martín-Jiménez CA, Salazar-Barreto D, Barreto GE, González J. Front Aging Neurosci 2017; 9: 23 Abstract: Astrocytes are the most abundant cells of the central nervous system; they have a predominant role in maintaining brain metabolism. In this sense, abnormal metabolic states have been found in different neuropathological diseases. Determination of metabolic states of astrocytes is difficult to model using current experimental approaches given the high number of reactions and metabolites present. Thus, genome-scale metabolic networks derived from transcriptomic data can be used as a framework to elucidate how astrocytes modulate human brain metabolic states during normal conditions and in neurodegenerative diseases. We performed a Genome-Scale Reconstruction of the Human Astrocyte Metabolic Network with the purpose of elucidating a significant portion of the metabolic map of the astrocyte. This is the first global high-quality, manually curated metabolic reconstruction network of a human astrocyte. It includes 5,007 metabolites and 5,659 reactions distributed among 8 cell compartments, (extracellular, cytoplasm, mitochondria, endoplasmic reticle, Golgi apparatus, lysosome, peroxisome and nucleus). Using the reconstructed network, the metabolic capabilities of human astrocytes were calculated and compared both in normal and ischemic conditions. We identified reactions activated in these two states, which can be useful for understanding the astrocytic pathways that are affected during brain disease. Additionally, we also showed that the obtained flux distributions in the model, are in accordance with literature-based findings. Up to date, this is the most complete representation of the human astrocyte in terms of inclusion of genes, proteins, reactions and metabolic pathways, being a useful guide for in-silico analysis of several metabolic behaviors of the astrocyte during normal and pathologic states. This model is hosted on BioModels Database and identified by: MODEL1608180000. To cite BioModels Database, please use: BioModels Database: An enhanced, curated and annotated resource for published quantitative kinetic models. To the extent possible under law, all copyright and related or neighbouring rights to this encoded model have been dedicated to the public domain worldwide. Please refer to CC0 Public Domain Dedication for more information.

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