Transgene-free remote magnetothermal regulation of adrenal hormones
Name
eaaz3734.full.pdf
Description
Published version
Size
8.35 MB
Format
Adobe PDF
Checksum (MD5)
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Author(s) • • • • • • • • •
Rosenfeld, Dekel
Senko, Alexander William
Moon, Junsang
Yick, Isabel
Varnavides, Georgios
Gregurec, Danijela
Koehler, Florian
Chiang, Po Han
Christiansen, Michael G.
Maeng, Lisa Y.
Date Issued
April 2020
Journal
Science Advances
Publisher
American Association for the Advancement of Science (AAAS)
Citation
Rosenfeld, Dekel et al. "Transgene-free remote magnetothermal regulation of adrenal hormones." Science Advances 6, 15 (April 2020): eaaz3734 © 2020 American Association for the Advancement of Science
Version
Final published version
Abstract
The field of bioelectronic medicines seeks to modulate electrical signaling within peripheral organs, providing temporally precise control of physiological functions. This is usually accomplished with implantable devices, which are often unsuitable for interfacing with soft and highly vascularized organs. Here, we demonstrate an alternative strategy for modulating peripheral organ function, which relies on the endogenous expression of a heat-sensitive cation channel, transient receptor potential vanilloid family member 1 (TRPV1), and heat dissipation by magnetic nanoparticles (MNPs) in remotely applied alternating magnetic fields. We use this approach to wirelessly control adrenal hormone secretion in genetically intact rats. TRPV1-dependent calcium influx into the cells of adrenal cortex and medulla is sufficient to drive rapid release of corticosterone and (nor)epinephrine. As altered levels of these hormones have been correlated with mental conditions such as posttraumatic stress disorder and major depression, our approach may facilitate the investigation of physiological and psychological impacts of stress.
MIT Department
Massachusetts Institute of Technology. Research Laboratory of Electronics
McGovern Institute for Brain Research at MIT
Massachusetts Institute of Technology. Department of Materials Science and Engineering
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences
Terms of Use
Creative Commons Attribution NonCommercial License 4.0
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DOI of Published Version
https://doi.org/10.1126/sciadv.aaz3734