Light-induced analgesia provides a drug-free optical method for pain relief via activation of TRAAK k+ channels

M Marion Bied A Arnaud Landra-Willm A Anne Amandine Chassot E Edward Francisco Mendez-Otalvaro B Benjamin Sueur K Kilian Roßmann E Elvira de la Peña P Pascal Fossat S Stephen J. Tucker J Jacques Noël W Wojciech Kopec (Computational Biomolecular Dynamics Group, Max Planck Institute for Multidisciplinary Sciences, Am Fassberg 11, Göttingen 37077, Germany) F Felix Viana J Johannes Broichhagen E Eric Boué-Grabot G Guillaume Sandoz

Abstract

Abstract Pain management in animal experimentation is crucial for both ethical and scientific reasons, as unmanaged pain can distort physiological responses compromising data reliability. Current strategies are often invasive and pharmacology-based, introducing variability and confounding effects. Here, we present Light-Induced Analgesia, a drug-free, non-invasive method for pain relief in animals. We show that 365 nm illumination activates the pain-inhibitory TRAAK two-pore domain potassium (K2P) channel. This activation is driven by the oxidation of a native methionine at TRAAK’s regulatory fenestration site, triggering a conformational switch from its inactive (down) to active (up) state. We further demonstrate that this mechanism can be transferred to other related K2Ps via a single-point mutation, rendering them light-sensitive. In rodents, gentle skin exposure to 365 nm is sufficient to activate endogenous TRAAK, silence nociceptors, and produce potent, long-lasting analgesia that outperforms standard treatments. Light-Induced Analgesia thus offers an effective, drug-free alternative that can enhance animal welfare and experimental reliability in preclinical research.

Article Details

Volume / Issue Vol. 17, Issue 1
Published January 26, 2026
ISSN 2041-1723
Publisher Nature Portfolio

Journal Info

Nature Communications

Nature Portfolio

ISSN: 2041-1723 Open Access Life Sciences

Authors (15)

M

Marion Bied

A

Arnaud Landra-Willm

A

Anne Amandine Chassot

E

Edward Francisco Mendez-Otalvaro

B

Benjamin Sueur

K

Kilian Roßmann

E

Elvira de la Peña

P

Pascal Fossat

S

Stephen J. Tucker

J

Jacques Noël

W

Wojciech Kopec

Computational Biomolecular Dynamics Group, Max Planck Institute for Multidisciplinary Sciences, Am Fassberg 11, Göttingen 37077, Germany

F

Felix Viana

J

Johannes Broichhagen

E

Eric Boué-Grabot

G

Guillaume Sandoz