Unbiased Insights into the Multiplicity of the CYP46A1 Brain Effects in 5XFAD Mice Treated with Low Dose Efavirenz

Natalia Mast, Makaya Butts,Irina A. Pikuleva

Journal of Lipid Research(2024)

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摘要
CYP46A1 is the CNS-specific cholesterol 24-hydroxylase that controls cholesterol elimination and turnover in the brain. In mouse models, pharmacologic CYP46A1 activation with low dose efavirenz (EFV) or by gene therapy mitigates the manifestations of various brain disorders, neurologic and non-neurologic, by affecting numerous, apparently unliked biological processes. Accordingly, CYP46A1 is emerging as a promising therapeutic target; however, the mechanisms underlying the multiplicity of the brain CYP46A1 activity effects are currently not understood. We proposed the chain reaction hypothesis, according to which CYP46A1 is important for the three primary (unifying) processes in the brain (sterol flux through the plasma membranes, acetyl-CoA and isoprenoid production), which in turn affect a variety of secondary processes. We already identified several processes secondary to changes in sterol flux and herein undertook a multiomics approach to compare the brain proteome, acetylproteome, and metabolome of 5XFAD mice (an Alzheimer’s disease model), control and treated with low dose EFV. We found that the latter had increased production of phospholipids from the corresponding lysophospholipids and a globally increased protein acetylation (including histone acetylation). Apparently, these effects were secondary to increased acetyl-CoA production. Signaling of small GTPases due to their altered abundance or abundance of their regulators could be affected as well, potentially via isoprenoid biosynthesis. In addition, the omics data related differentially abundant molecules to other biological processes either reported previously or new. Thus, we obtained unbiased mechanistic insights and identified potential players mediating the multiplicity of the CYP46A1 brain effects and further detailed our chain reaction hypothesis.
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brain lipids,cholesterol metabolism,oxysterols,proteomics,glycerophospholipids
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