ePoster

COMPUTATIONAL MODELING OF NEUROVASCULAR COUPLING AT THE GLIOVASCULAR UNIT

Florian Dupeubleand 2 co-authors

Inria de Lyon

FENS Forum 2026 (2026)
Barcelona, Spain
Board PS03-08AM-495

Presentation

Date TBA

Board: PS03-08AM-495

Poster preview

COMPUTATIONAL MODELING OF NEUROVASCULAR COUPLING AT THE GLIOVASCULAR UNIT poster preview

Event Information

Poster Board

PS03-08AM-495

Abstract

A growing number of studies indicate the possible involvement of astrocytes in triggering or modulating neurovascular coupling (NVC), i.e. the local dilation of blood vessels in the brain in response to neuronal activity (Lia et al. 2023). Astrocytes possess specialized subcellular compartments, named endfeet, that surround arterioles and capillaries, ideally positioned to mediate NVC. The contribution to NVC of various vasodilators, such as epoxyeicosatrienoic acid (EET), nitric oxyde (NO), or prostaglandin E2 (PGE2) remains poorly understood. Previous computational modeling works have contributed to improving our understanding of the role of astrocytes in NVC, showing for example that EET impacts NVC only when the astrocyte membrane is depolarized (Kenny et al. 2018). In this study, we focus on the PGE2 pathway in astrocytes. We implement an ODE model based on previous work (De Pittà et al. 2019, Barrett et al. 2012), describing PGE2 signaling in astrocytes, a simplified NO pathway in neurons, and arteriole diameter dynamics. Our results provide new insights into the role of astrocyte-mediated PGE2 release in NVC. Using experimental data (Institoris et al. 2022), we show that this pathway could be responsible for the 'late' but not the 'early' response of NVC at the arteriolar level. We further identify distinct contributions of PIP2-derived and phosphatidic acid-derived (calcium-dependent) diacylglycerol on the arteriole diameter. Finally, simulations using a spatialized astrocyte geometry indicate that NVC is more efficient when synaptic stimulation occurs at the endfoot level rather than in other astrocytic compartments.

In A, the reaction network of the model is shown. Neuronal NO and glutamate are the system inputs. NO directly binds to the arteriole. Glutamate binds to astrocytic endfoot mGluR, producing IP3 and DAG. By binding to IP3R2, IP3 triggers calcium-induced calcium release. Calcium activates both cPKC (which inhibits mGluR signaling) and phosphatidic acid (PA) production. PA is converted into DAG and vice versa. DAG is transformed into 2-AG, then intro AA, PGH2, and finally PGE2, which binds to the arteriole. In B, arteriole diameter traces from in vivo experimental data (Institoris et al., 2023) and from the model are shown for 30-s stimulations. The left panel shows the control condition and the right panel the CalEX condition (see Institoris et al., 2023). Diameters are constant to 0 % dilation before stimulation, then rapidly increase by ~15% in both control and CalEX conditions, for both experimental and model data. Around 5 s after stimulation onset, the diameter decreases by ~5% in the experimental data and ~10% in the model. The experimental diameter then increases again, reaching ~25% dilation in control conditions and ~20% in CalEX conditions at 30 s of stimulation. Model diameters are close to these values, with a slight delay in the CalEX condition. At the end of stimulation, diameters decrease in both conditions, for both experimental and virtual data. Again, in the CalEX condition, the model shows a slight delay compared to the experimental data. In C, two graphs (left: control; right: CalEX) show only virtual arteriole diameters. Pathways were knocked out (KO): dotted lines represent NO KO, dashed represent PGE2 KO, and solid lines represent control conditions. In all graphs, black vertical dashed lines delimit the stimulation period (30–60 s).

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