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Research Paper|Volume 16, Issue 14|pp 11134—11150

mTORC1 activation in presumed classical monocytes: observed correlation with human size variation and neuropsychiatric disease

Karl Berner1, Naci Oz2,3, Alaattin Kaya2, Animesh Acharjee4,5,6, Jon Berner1
  • 1Woodinville Psychiatric Associates, Woodinville, WA 98072, USA
  • 2Department of Biology, Virginia Commonwealth University, Richmond, VA 23284, USA
  • 3Life Sciences, Virginia Commonwealth University, Richmond, VA 23284, USA
  • 4Institute of Cancer and Genomics Sciences, University of Birmingham, Birmingham, UK
  • 5Institute of Translational Medicine, University Hospitals Birmingham NHS Foundation Trust, Birmingham, UK
  • 6MRC Health Data Research UK (HDR UK), London, UK
Received: December 19, 2023Accepted: July 5, 2024Published: July 26, 2024

Copyright: © 2024 Berner et al. This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Abstract

Background: Gain of function disturbances in nutrient sensing are likely the largest component in human age-related disease. Mammalian target of rapamycin complex 1 (mTORC1) activity affects health span and longevity. The drugs ketamine and rapamycin are effective against chronic pain and depression, and both affect mTORC1 activity. Our objective was to measure phosphorylated p70S6K, a marker for mTORC1 activity, in individuals with psychiatric disease to determine whether phosphorylated p70S6K could predict medication response.

Methods: Twenty-seven females provided blood samples in which p70S6K and phosphorylated p70S6K were analyzed. Chart review gathered biometric measurements, clinical phenotypes, and medication response. Questionnaires assessed anxiety, depression, autism traits, and mitochondrial dysfunction, to determine neuropsychiatric disease profiles. Univariate and multivariate statistical analyses were used to identify predictors of medication response.

Results: mTORC1 activity correlated highly with both classical biometrics (height, macrocephaly, pupil distance) and specific neuropsychiatric disease profiles (anxiety and autism). Across all cases, phosphorylated p70S6K was the best predictor for ketamine response, and also the best predictor for rapamycin response in a single instance.

Conclusions: The data illustrate the importance of mTORC1 activity in both observable body structure and medication response. This report suggests that a simple assay may allow cost-effective prediction of medication response.