“This report suggests that a simple assay may allow cost-effective prediction of medication response.”
BUFFALO, NY- August 7, 2024 – A new research paper was published in Aging (listed by MEDLINE/PubMed as “Aging (Albany NY)” and “Aging-US” by Web of Science), Volume 16, Issue 14 on July 26, 2024, entitled, “mTORC1 activation in presumed classical monocytes: observed correlation with human size variation and neuropsychiatric disease.”
In this new study, researchers Karl Berner, Naci Oz, Alaattin Kaya, Animesh Acharjee, and Jon Berner from Woodinville Psychiatric Associates, Virginia Commonwealth University, University of Birmingham, University Hospitals Birmingham, and MRC Health Data Research UK, aimed to measure phosphorylated p70S6K, a marker for mTORC1 activity, in individuals with psychiatric disease to determine whether phosphorylated p70S6K could predict medication response.
Their results showed that mTORC1 activity correlated highly with classical biometrics (height, macrocephaly, pupil distance) and specific neuropsychiatric disease profiles (anxiety and autism).
“Our data suggest that human variability of mTORC1 gain of function observed during the differentiation of stem-like monocytes into vascular tissue-resident macrophages correlates with physical size, subsets of neuropsychiatric disease, and clinical ketamine or rapamycin response.”
Read the full paper: DOI: https://doi.org/10.18632/aging.206033
Corresponding Author: Jon Berner
Corresponding Email: [email protected]
Keywords: aging, ketamine, lithium, monocyte, mTORC1, rapamycin
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About Aging:
The journal Aging aims to promote 1) treatment of age-related diseases by slowing down aging, 2) validation of anti-aging drugs by treating age-related diseases, and 3) prevention of cancer by inhibiting aging. (Cancer and COVID-19 are age-related diseases.)
Aging is indexed by PubMed/Medline (abbreviated as “Aging (Albany NY)”), PubMed Central, Web of Science: Science Citation Index Expanded (abbreviated as “Aging‐US” and listed in the Cell Biology and Geriatrics & Gerontology categories), Scopus (abbreviated as “Aging” and listed in the Cell Biology and Aging categories), Biological Abstracts, BIOSIS Previews, EMBASE, META (Chan Zuckerberg Initiative) (2018-2022), and Dimensions (Digital Science).
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