Potential Biophysical Interventions for Severe Mental illness and Metabolic Syndrome: Membrane Lipidome Replacement and Beyond

preprint OA: closed
View at publisher

Abstract

Life is dependent on the separation of various body compartments from each other and the environment. The permeability of biological barriers, including the enhanced barriers of the gastrointestinal and blood-brain, depends on the integrity of cell or mitochondrial membranes and intercellular junctions. Severe mental illness and metabolic syndrome are characterized by premature cellular senescence that alters the permeability of biological membranes. Increased barrier permeability enables microbial migration outside the gastrointestinal tract, eventually reaching the brain, skeletal muscles, and adipose tissue. Immune responses to invading microorganisms or their components likely contribute to dysmetabolism and neuropathology. Entropy, a biophysical measure of randomness or disorder, may detect senescence-induced changes early, thus allowing for interventions to avert microbial translocation and the subsequent pathology. This highlights entropy as a potential screening tool for schizophrenia and metabolic disorders. This review consists of three parts. The first part introduces the reader to the entropy in biological systems and its screening role for neuropathology and dysmetabolism. The second part discusses cellular senescence and its importance for microbial migration outside the gastrointestinal tract. Part three focuses on biophysical interventions for restoring gut barrier homeostasis, such as membrane lipid replacement and plasmalogen replacement therapy, gamma wave entrainment, and other novel modalities.

My notes (saved in your browser only)

Citation neighborhood (no data yet)

We don't have any in-corpus citations linked to this paper yet. This is a recent paper (2025) — citers typically take a year or two to land, and the OpenAlex reference graph may still be filling in.

Source provenance

europepmc
last seen: 2026-05-20T01:45:00.602351+00:00