Preclinical AI · Active
All researchVagus decoding: inflammation (preclinical)
This research decodes how vagus nerve neurons sense inflammatory cytokines in real time, enabling development of diagnostic bioelectronic devices and closed-loop inflammation treatments. Building on prior work showing vagal decoding of immune signals, recent studies reveal that individual vagal sensory neurons selectively respond to specific cytokines, with altered responses during active inflammation.
2 researchers4 publications
Preclinical AIDivision of Health AI
People · 2
On this project
Publications · 4
Related papers
Nature Communications
Neural representation of cytokines by vagal sensory neurons
(opens in new tab)Annals of the Rheumatic Diseases
Transcutaneous auricular vagus nerve stimulation reduces pain and fatigue in patients with systemic lupus erythematosus: a randomised, double-blind, sham-controlled pilot trial
(opens in new tab)Cold Spring Harbor Perspectives in Medicine
Recording and Decoding of Vagal Neural Signals Related to Changes in Physiological Parameters and Biomarkers of Disease
(opens in new tab)Proceedings of the National Academy of Sciences
Decoding cytokine specific neural activity from the cervical vagus nerve
(opens in new tab)Related
More in Preclinical AI
Vagus decoding: metabolic states (preclinical)
Preclinical research using decoding algorithms to identify neural signals from the vagus nerve that respond specifically to hypoglycemia. A decoder achieved high accuracy in reconstructing blood glucose levels from vagus nerve recordings, with median error of 18.6 mg/dL, and revealed that TRPV1 nociceptor neurons are critical for sensing low glucose states.
Preclinical AI
Chronic vagus nerve recordings (mouse)
Chronic wireless recording of compound action potentials from the mouse vagus nerve up to 6 months, enabling longitudinal tracking of neural activity in disease models (CIA, CAIA) to predict inflammation severity and evaluate neuromodulation efficacy.
Preclinical AI