Skip to content
#protein folding Open access

Catechol-O-methyltransferase connects dopamine homeostasis to redox signaling, metal homeostasis, and protein folding in schizophrenia

Sep 2026 · Proceedings of the National Academy of Sciences of the United States of America · Vol 123 · 0 citations · 126 references
Medicine

TL;DR

It is demonstrated that loss of membrane-bound catechol-O-methyltransferase (MB-COMT), a key degrader of DA in the brain, disrupts cellular metal handling and redox-regulatory pathways and triggers widespread protein misfolding in schizophrenia and Parkinson’s disease.

Abstract

Significance Dysregulated dopamine (DA) signaling and impaired redox homeostasis are central to the pathophysiology of schizophrenia (SCZ) and Parkinson’s disease (PD). Here, Tripathi and Chakraborty et al. demonstrate that loss of membrane-bound catechol-O-methyltransferase (MB-COMT), a key degrader of DA in the brain, disrupts cellular metal handling and redox-regulatory pathways and triggers widespread protein misfolding. Such disturbances are observed across both disorders, underscoring a critical role of MB-COMT in DA homeostasis in preventing neuropathology and identifying related pathways as potential therapeutic targets.

Read PDF

Similar papers

Review Open access Sep 2026

Dopamine Metabolism as a Chemically Constrained Network: Structural Regulation, Redox Liability and Dopaminergic Vulnerability in Parkinson’s Disease

Dopamine metabolism lies at the intersection of enzymatic catalysis, redox chemistry and cellular compartmentalisation, forming a tightly regulated network that sustains neurotransmission while limiting intrinsic chemical reactivity. In catecholaminergic neurons, dopamine is both an essential signalling molecule and a...

Emmanuel Ortega-Robles, Magdalena Guerra-Crespo, Oscar Arias-Carrión · 0 citations
Review Open access Sep 2026

Polyamines across neurodegenerative proteinopathies.

Polyamines (PAs) are evolutionarily conserved metabolites that connect protein quality control with lysosomal, mitochondrial, and redox homeostasis. Their metabolism is situated at a critical intersection of cell-sustaining and neurodegenerative pathways. Here, we synthesize evidence across Alzheimer's disease, Parkins...

Bedri Ranxhi, Peter A. LeWitt, Wei-Ling Tsou et al. · 0 citations
Open access Aug 2026

Autism-relevant oxysterol signaling regulates GABAergic neurogenesis and interneuron subtype specification

It is shown that 24S,25-epoxycholesterol, an oxysterol enriched in the fetal brain and dysregulated in NDDs, enhances neurogenesis while altering the distribution of GABAergic neuronal subtypes, suggesting that aberrant oxysterol signaling contributes to the pathogenesis of NDDs.

Maria Cruz-Santos, E. Kidd, Zongze Li et al. · 0 citations
Review Open access Aug 2026

Retinoic acid-related orphan receptor alpha (RORα) as a candidate multi-pathway target in Alzheimer’s disease: mechanisms and therapeutic prospects

The development of Alzheimer disease (AD) involves a cluster of pathogenic processes, including amyloid-beta (Aβ) deposition, tau-mediated neurodegeneration, chronic neuroinflammation, oxidative stress (OS), metabolic dysregulation, and disruption of circadian rhythms. Nuclear hormone receptor, Retinoic Acid-Related Or...

Shivakanth Chintalapally, Kalpana Rajanala, Arun Upadhyay · 0 citations
Review Open access Sep 2026

Peroxisomes in Alzheimer’s disease: emerging mechanistic insights and therapeutic opportunities

Alzheimer’s disease (AD) is characterized by amyloid-β (Aβ) deposition, tau pathology, synaptic injury, neuroinflammation, oxidative stress, and disrupted organellar homeostasis. Peroxisomes maintain lipid and redox balance through very-long-chain fatty acid (VLCFA) β-oxidation, plasmalogen biosynthesis, and reactive o...

T. Liu, Yi-Ran Liu, Yi-Chi Zhang et al. · 0 citations

Related blog posts

Google DeepMind Blog Sep 30, 2026

Introducing SynthID Bio

Proof of concept for watermarking AI-generated proteins while preserving biological function.

MIT News · Artificial Intelligence Aug 27, 2026

Looking beyond natural sequences

A new machine-learning framework aims to improve the success rate of computational protein design while moving away from results that reproduce sequences found in nature.

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.