Ketosis regulates K ion channels, strengthening brain-wide signaling disrupted by age.

Helena van Nieuwenhuizen, Anthony G Chesebro, Claire Polizu, Kieran Clarke, Helmut H Strey, Corey Weistuch, Lilianne R Mujica-Parodi
Author Information
  1. Helena van Nieuwenhuizen: Department of Physics and Astronomy, Stony Brook University, Stony Brook, NY, 11790, USA.
  2. Anthony G Chesebro: Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical School, Charlestown, MA, 02129, USA.
  3. Claire Polizu: Renaissance School of Medicine, Stony Brook University, Stony Brook, NY, 11790, USA.
  4. Kieran Clarke: Department of Physiology, Oxford University, Oxford OX1 3PT, UK.
  5. Helmut H Strey: Department of Biomedical Engineering, Stony Brook University, Stony Brook, NY, 11790, USA.
  6. Corey Weistuch: Department of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, NY, 10065, USA.
  7. Lilianne R Mujica-Parodi: Department of Physics and Astronomy, Stony Brook University, Stony Brook, NY, 11790, USA.

Abstract

Aging is associated with impaired signaling between brain regions when measured using resting-state fMRI. This age-related destabilization and desynchronization of brain networks reverses itself when the brain switches from metabolizing glucose to ketones. Here, we probe the mechanistic basis for these effects. First, we confirmed their robustness across measurement modalities using two datasets acquired from resting-state EEG (: standard diet, 20-80 years, N = 201; : individually weight-dosed and calorically-matched glucose and ketone ester challenge, , N = 36). Then, using a multiscale conductance-based neural mass model, we identified the unique set of mechanistic parameters consistent with our clinical data. Together, our results implicate potassium (K+) gradient dysregulation as a mechanism for age-related neural desynchronization and its reversal with Ketosis, the latter finding of which is consistent with direct measurement of ion channels. As such, the approach facilitates the connection between macroscopic brain activity and cellular-level mechanisms.

Keywords

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Grants

  1. P30 CA008748/NCI NIH HHS
  2. T32 GM008444/NIGMS NIH HHS

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