# Sevoflurane Inhibits Layer 5 Pyramidal Neurons via Kv1.2‐Dependent Modulation of Subthreshold Currents

**Authors:** Aelton S. Araujo, Gabriel M. de Queiroz, Sérgio Ruschi B. Silva, Werner Treptow, Katarina E. Leao

PMC · DOI: 10.1111/jnc.70360 · Journal of Neurochemistry · 2026-01-20

## TL;DR

This study shows how sevoflurane, a common anesthetic, suppresses brain cell activity by enhancing potassium channels in specific neurons of the cortex.

## Contribution

The study identifies Kv1.2 channel potentiation as a novel mechanism through which sevoflurane reduces cortical neuron excitability.

## Key findings

- Sevoflurane reduces firing in layer 5 pyramidal neurons by enhancing Kv1.2 potassium channels.
- Blocking Kv1.2 channels reverses sevoflurane's effects on subthreshold membrane properties.
- Computational models confirm increased potassium conductance due to Kv1.2 potentiation.

## Abstract

General anesthetics reduce cortical activity and disrupt consciousness, yet the molecular mechanisms underlying their effects on neocortical neurons remain incompletely understood. Recent evidence implicates layer 5 pyramidal neurons (L5 PNs) as critical targets, particularly through anesthetic‐induced decoupling of distal apical dendritic inputs from somatic output. While several anesthetics impair L5 excitability, the ion channels mediating this effect have yet to be clearly identified. Voltage‐gated Kv1.2 potassium channels have emerged as compelling candidates due to their high expression in L5 PNs and their known potentiation by volatile anesthetics. In this study, we investigated the effects of low‐dose sevoflurane (~22 μM) on L5 PNs in the primary auditory cortex of adult mice using whole‐cell patch‐clamp recordings. Sevoflurane significantly suppressed firing and induced cell‐type‐specific changes in membrane properties: depolarizing the resting potential in type A neurons and increasing input resistance and altering action potential shape in type B neurons. Application of the selective Kv1.2 blocker TsTX‐Kα partially reversed these effects at subthreshold membrane potentials, implicating Kv1.2 channel potentiation in the modulation of neuronal excitability. Supporting that view, NEURON simulations using a detailed biophysical model of thick‐tufted L5b pyramidal neurons further revealed a significant sevoflurane‐induced increase in persistent K+ conductance, consistent with Kv1.2 potentiation. To our knowledge, this is the first study to demonstrate distinct, cell‐type‐specific effects of sevoflurane on L5 PNs and to establish the functional relevance of Kv1.2 channel potentiation in anesthetic suppression of cortical excitability. These findings offer new insights into the molecular actions of sevoflurane and support a broader role for Kv1.2 channels in mediating anesthetic‐induced outcomes.

General anesthetics suppress cortical activity, but their cellular mechanisms remain unclear. We investigated how the volatile anesthetic sevoflurane affects layer 5 pyramidal neurons in the auditory cortex. Using patch‐clamp recordings and computational modeling, we found that low‐dose sevoflurane reduces neuronal firing through Kv1.2 channel potentiation, which enhances subthreshold potassium currents and decreases excitability. This is the first demonstration of a Kv1.2‐dependent mechanism underlying anesthetic suppression of cortical neurons, providing new insight into how volatile anesthetics disrupt cortical processing and contribute to the loss of consciousness.

## Linked entities

- **Genes:** KCNA2 (potassium voltage-gated channel subfamily A member 2) [NCBI Gene 3737]
- **Chemicals:** sevoflurane (PubChem CID 5206)
- **Species:** Mus musculus (taxon 10090)

## Full-text entities

- **Genes:** Kcna2 (potassium voltage-gated channel, shaker-related subfamily, member 2) [NCBI Gene 16490] {aka Akr6a4, Gm10672, Kca1-2, Kv1.2, Mk-2}
- **Chemicals:** Sevoflurane (MESH:D000077149), K+ (MESH:D011188), TsTX-Kalpha (-)
- **Species:** Mus musculus (house mouse, species) [taxon 10090]

## Full text

_Full body text omitted from this summary view._ Fetch the complete paper as Markdown: https://tomesphere.com/paper/PMC12817328/full.md

## Figures

7 figures with captions in the complete paper: https://tomesphere.com/paper/PMC12817328/full.md

## References

51 references — full list in the complete paper: https://tomesphere.com/paper/PMC12817328/full.md

---
Source: https://tomesphere.com/paper/PMC12817328