Computational modeling of the variation of the transmembrane potential of the endothelial cells of the blood-brain barrier subject to an external electric field
← Research streamA computational model incorporating time-dependent membrane capacitance into a parallel conductance model reports that applying extremely low frequency external electric fields induces hyperpolarization in blood-brain barrier endothelial cells. The authors st…
Study snapshot
Abstract
Computational modeling of the variation of the transmembrane potential of the endothelial cells of the blood-brain barrier subject to an external electric field Sehati M, Rafii-Tabar H, Sasanpour P. Computational modeling of the variation of the transmembrane potential of the endothelial cells of the blood-brain barrier subject to an external electric field. 2023. Biomed Phys Eng Express. 2023;10.1088/2057-1976/acf937. doi:10.1088/2057-1976/acf937. Abstract The electromechanical properties of the membrane of endothelial cells forming the blood-brain barrier play a vital role in the function of this barrier. The mechanical effect exerted by external electric fields on the membrane could change its electrical properties. In this study the effect of extremely low frequency (ELF) external electric fields on the electrical activity of these cells has been studied by considering the mechanical effect of these fields on the capacitance of the membrane. The effect of time-dependent capacitance of the membrane is incorporated in the current components of the parallel conductance model for the electrical activity of the cells. The results show that the application of ELF electric fields induces hyperpolarization, having an indirect effect on the release of nitric oxide from the endothelial cell and the polymerization of actin filaments. Accordingly, this could play an important role in the permeability of the barrier. Our finding can have possible consequences in the field of drug delivery into the central nervous system. pubmed.ncbi.nlm.nih.gov
AI evidence extraction
Structured fields below were generated from the paper’s abstract and metadata to make the evidence easier to inspect. Automated extraction may be incomplete or incorrect; verify important details against the original paper.
Main findings
A computational model incorporating time-dependent membrane capacitance into a parallel conductance model reports that applying extremely low frequency external electric fields induces hyperpolarization in blood-brain barrier endothelial cells. The authors state this hyperpolarization may indirectly affect nitric oxide release and actin filament polymerization, with potential implications for barrier permeability and drug delivery.
Outcomes measured
- Transmembrane potential variation
- Membrane capacitance (time-dependent) effects in electrical activity model
- Hyperpolarization (modeled)
- Nitric oxide release (indirect effect, modeled)
- Actin filament polymerization (indirect effect, modeled)
- Blood-brain barrier permeability (implicated)
Limitations
- Computational modeling study; no experimental or clinical validation described in the abstract.
- Exposure parameters (field strength, waveform, duration) are not provided in the abstract.
- Downstream effects on nitric oxide, actin polymerization, and permeability are described as indirect and are not reported as measured outcomes.
View raw extracted JSON
{
"publication_year": 2023,
"study_type": "engineering",
"exposure": {
"band": "ELF",
"source": "external electric field",
"frequency_mhz": null,
"sar_wkg": null,
"duration": null
},
"population": "Endothelial cells of the blood-brain barrier (computational model)",
"sample_size": null,
"outcomes": [
"Transmembrane potential variation",
"Membrane capacitance (time-dependent) effects in electrical activity model",
"Hyperpolarization (modeled)",
"Nitric oxide release (indirect effect, modeled)",
"Actin filament polymerization (indirect effect, modeled)",
"Blood-brain barrier permeability (implicated)"
],
"main_findings": "A computational model incorporating time-dependent membrane capacitance into a parallel conductance model reports that applying extremely low frequency external electric fields induces hyperpolarization in blood-brain barrier endothelial cells. The authors state this hyperpolarization may indirectly affect nitric oxide release and actin filament polymerization, with potential implications for barrier permeability and drug delivery.",
"effect_direction": "harm",
"limitations": [
"Computational modeling study; no experimental or clinical validation described in the abstract.",
"Exposure parameters (field strength, waveform, duration) are not provided in the abstract.",
"Downstream effects on nitric oxide, actin polymerization, and permeability are described as indirect and are not reported as measured outcomes."
],
"evidence_strength": "low",
"confidence": 0.74,
"peer_reviewed_likely": "yes",
"stance": "concern",
"stance_confidence": 0.62,
"summary": "This study uses computational modeling to examine how extremely low frequency external electric fields could affect the electrical activity of blood-brain barrier endothelial cells via mechanically induced changes in membrane capacitance. The model reports ELF fields induce hyperpolarization. The authors suggest this may indirectly influence nitric oxide release, actin polymerization, and potentially blood-brain barrier permeability, with possible relevance to CNS drug delivery.",
"key_points": [
"The work is a computational modeling study focused on blood-brain barrier endothelial cell membranes.",
"It models mechanical effects of ELF electric fields as time-dependent changes in membrane capacitance.",
"The time-dependent capacitance is incorporated into current components of a parallel conductance model.",
"The modeled application of ELF electric fields induces hyperpolarization of the transmembrane potential.",
"The authors propose indirect effects on nitric oxide release and actin filament polymerization.",
"Potential implications for blood-brain barrier permeability and CNS drug delivery are suggested."
],
"categories": [
"Mechanisms",
"Computational Modeling",
"ELF Fields",
"Blood-Brain Barrier"
],
"tags": [
"Blood-Brain Barrier",
"Endothelial Cells",
"Extremely Low Frequency",
"External Electric Fields",
"Transmembrane Potential",
"Hyperpolarization",
"Membrane Capacitance",
"Parallel Conductance Model",
"Nitric Oxide",
"Actin Polymerization",
"Barrier Permeability",
"Drug Delivery"
],
"keywords": [
"computational modeling",
"blood-brain barrier",
"endothelial cells",
"ELF electric fields",
"transmembrane potential",
"membrane capacitance",
"hyperpolarization",
"nitric oxide",
"actin polymerization",
"permeability"
],
"suggested_hubs": [],
"social": {
"tweet": "Computational model of blood–brain barrier endothelial cells suggests extremely low frequency (ELF) external electric fields could induce membrane hyperpolarization via time-dependent capacitance changes, with proposed indirect implications for NO signaling, actin dynamics, and barrier permeability.",
"facebook": "A computational modeling study of blood–brain barrier endothelial cells reports that extremely low frequency (ELF) external electric fields may induce hyperpolarization by altering membrane capacitance over time. The authors suggest possible indirect effects on nitric oxide signaling, actin polymerization, and barrier permeability, with potential relevance to CNS drug delivery.",
"linkedin": "In a computational modeling study (Biomed Phys Eng Express, 2023), researchers incorporated time-dependent membrane capacitance into a parallel conductance model for blood–brain barrier endothelial cells and report ELF external electric fields induce hyperpolarization. The paper discusses potential indirect links to nitric oxide release, actin polymerization, and barrier permeability, with possible implications for CNS drug delivery."
}
}AI-extracted fields are generated from the abstract and metadata and may be incomplete or incorrect. This material is for informational purposes and is not medical advice.
Identifiers and source
DOI: 10.1088/2057-1976/acf937
PubMed: 37703844
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