Skip to content
#diffusion models Open access

Impact of EAAT2 Dysfunction on AMPA/NMDA-Mediated Excitability in Neuronal Activity

Sep 2026 · Zenodo (CERN European Organization for Nuclear Research)

Abstract

Introduction Epilepsy is among the most prevalent neurological disorders. The astrocytic excitatory amino acid transporter (EAAT2) plays a key role in regulating excitability, by controlling extracellular glutamate levels and glutamate receptor activation [1,2]. Reduced EAAT2 expression has been reported in several epilepsy patients [1,3]. However, the impact of neuron-astrocyte interactions on hyperexcitability on single cell level is underexplored. We developed a biophysical model of a presynaptic neuron and astrocyte to explore the relation between astrocytic EAAT2-mediated glutamate clearance, presynaptic glutamate receptors and bursting activity. Methods We build on our previous work [4,5], where we consider a presynaptic neuron and an astrocyte in a finite extracellular space (ECS). This model describes sodium, potassium, chloride dynamics as well as calcium-dependent exocytosis and glutamate-glutamine (GG) recycling. For this study, we add a potassium bath with diffusion to the ECS to induce neuronal bursting (Fig. 1A). Additionally, we implement the presynaptic glutamate receptors AMPA and NMDA, which are important in regulating hyperexcitability. Lastly, we study the impact of the antiseizure drugs perampanel and memantine by simulating the effect of these AMPA and NMDA receptor antagonists. Results We induce neuronal bursting by increasing extracellular potassium in the bath. We first examine how AMPA and NMDA permeabilities affect burst frequency (Fig. 1C), where frequency refers to spike frequency during the last burst or during tonic firing, to fit the NMDA/AMPA ratio to experimental data [6]. Higher permeabilities increase neuronal firing and intracellular calcium, triggering a feedback loop that enhances neuronal glutamate release. Reducing EAAT permeability raises burst frequency and induces tonic firing (Fig. 1B). Finally, AMPA and NMDA antagonists, perampanel and memantine [7], reduce firing despite elevated extracellular glutamate, with perampanel showing a more significant reduction in firing frequency (Fig. 1D). Discussion Our results show that reduced EAAT expression, as observed in several epilepsy patients, results in increased extracellular glutamate and overstimulation of excitatory glutamate receptors. Furthermore, we show that the AMPA and NMDA receptor permeabilities affect burst frequency. Receptor antagonists such as perampanel and memantine are able to reduce firing. In conclusion, our detailed neuron–astrocyte model provides insight into the effects of reduced EAAT expression and receptor antagonists on hyperexcitability. Acknowledgments HVS, HGEM, MJAMVP funded from the DFG, FOR2795 'Synapses under stress' to CRR (Prof. Dr. Christine R. Rose) (Ro2327/13-2 and 14-2). GG, HS, and JH were supported by the ERDF-Project Brain dynamics, No. CZ.02.01.01/00/22_008/0004643, a Lumina-Quaeruntur fellowship (LQ100302301), and the long-term strategic development financing of the Institute of Computer Science (RVO:67985807). Figure Figure 1: A: Three-compartment model illustrating the GG-cycle during EAAT2 knockout. B: The membrane potential, spike frequency f and ECS glutamate at different EAAT2 permeabilities. C: Spike frequency within bursts as a function of NMDA and AMPA receptor permeability. D: Neuronal activity at fixed EAAT2 permeability (PEAAT=0.15 * 103 µm3/ms) under antagonist conditions. References [1] Green, J., dos Santos, W., & Fontana, A. (2021). Role of glutamate excitotoxicity and glutamate transporter EAAT2 in epilepsy: Opportunities for novel therapeutics development. Biochemical Pharmacology, 193, 114786. doi: 10.1016/j.bcp.2021.114786[2] Scimemi, A., Tian, H., & Diamond, J. (2009). Neuronal Transporters Regulate Glutamate Clearance, NMDA Receptor Activation, and Synaptic Plasticity in the Hippocampus. The Journal of Neuroscience, 29(46), 14581-14595. doi: 10.1523/JNEUROSCI.4845-09.2009[3] Barker-Haliski, M. & White, H. (2015). Glutamatergic Mechanisms Associated with Seizures and Epilepsy. Cold Spring Harbor Perspectives in Medicine, 5(8), a022863. doi: 10.1101/cshperspect.a022863[4] van Susteren, H., Rose, C. R., van Putten, M. J. A. M., & Meijer, H. G. E. (2025). The role of the glutamate-glutamine cycle in synaptic transmission during ischemia and recovery. bioRxiv. https://doi.org/10.1101/2025.11.10.687543[5] Kalia, M., Meijer, H., van Gils, S., van Putten, M., & Rose, C. (2021). Ion dynamics at the energy-deprived tripartite synapse. PLOS Computational Biology, 17(6), e1009019. doi: 10.1371/journal.pcbi.1009019[6] Watt, A., Sjöström, P., Häusser, M., Nelson, S., & Turrigiano, G. (2004). A proportional but slower NMDA potentiation follows AMPA potentiation in LTP. Nature Neuroscience, 7(5), 518-524. doi: 10.1038/nn1220[7] Chen, T., Huang, T., Lai, M., & Huang, C. (2023). The Role of Glutamate Receptors in Epilepsy. Biomedicines, 11(3), 783. doi: 10.3390/biomedicines11030783

View source

Similar papers

#computer vision Open access Jun 2016

Software Development in Startup Companies: The Greenfield Startup Model

The results are packaged in the Greenfield Startup Model (GSM), which explains the priority of startups to release the product as quickly as possible, and the need to shorten time-to-market, by speeding up the development through low-precision engineering activities.

Carmine Giardino, Nicolò Paternoster, M. Unterkalmsteiner et al. · 178 citations · ⚡14
#computer vision Open access Oct 2016

Software Startups - A Research Agenda

Software startup companies develop innovative, software-intensive products within limited timeframes and with few resources, searching for sustainable and scalable business models.

M. Unterkalmsteiner, P. Abrahamsson, Xiaofeng Wang et al. · 157 citations · ⚡17
#machine learning Review Open access Oct 2016

“Failures” to be celebrated: an analysis of major pivots of software startups

This study conducts a case survey study based on the secondary data of the major pivots happened in 49 software startups, and demonstrates that customer need pivot is the most common among all pivot types.

Sohaib Shahid Bajwa, Xiaofeng Wang, Anh Nguyen-Duc et al. · 127 citations · ⚡15
#computer vision Review Open access May 2015

A survey study on major technical barriers affecting the decision to adopt cloud services

The comparison of adopter and non-adopter sample reveals three potential adoption inhibitor, security, data privacy, and portability, which underlines the importance of the technical and security perspectives for research investigating the adoption of technology.

Nattakarn Phaphoom, Xiaofeng Wang, S. Samuel et al. · 111 citations · ⚡8
#computer vision Open access Feb 2018

Lean Internal Startups for Software Product Innovation in Large Companies: Enablers and Inhibitors

This study investigates how Lean internal startup facilitates software product innovation in large companies and identifies its enablers and inhibitors, and shows the potential of the method-in-action framework to investigate the Lean startup approach in non-startup context.

Henry Edison, Nina M. Smørsgård, Xiaofeng Wang et al. · 78 citations · ⚡6
#computer vision Conference Sep 2010

Exploring the Sources of Waste in Kanban Software Development Projects

The application of agile software methods and more recently the integration of Lean practices contribute to the trend of continuous improvement in the software industry. One such area warranting proper empirical evidence is a project’s operational efficiency when using the Kanban method. This short paper takes a new angle and explores waste in the Kanban-driven software development project context. A preliminary research model is presented for helping the consequent replication of the study. The results from the empirical analysis suggest Kanban can be an effective method in visualizing and organizing the current work, but does not prevent waste from creeping in, although the overall project outcome may be successful.

Marko Ikonen, Petri Kettunen, Nilay V. Oza et al. · 67 citations · ⚡9

Related blog posts

MIT News · Artificial Intelligence Sep 14, 2026

New method enables AI for safety-critical situations

The “HardFlow” algorithm could help generative AI models produce high-quality outputs that obey strict requirements when “pretty close” doesn’t cut it.

GPT-Lab Sep 10, 2026

Responsible AI Must Consider Its Afterlife

AI may appear weightless, but every model depends on physical infrastructure. To understand responsible AI, we need to look beyond algorithms and consider the entire lifecycle of the hardware behind them. The post Responsible AI Must Consider Its Afterlife appeared first on GPT-Lab.

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.