Prostaglandin H Synthase-1-Catalyzed Bioactivation of Neurotransmitters, Their Precursors, and Metabolites: Oxidative DNA Damage and Electron Spin Resonance Spectroscopy Studies
Bibliographic record
Abstract
The role of prostaglandin H synthase-1 (PHS-1) and a related model enzyme, horseradish peroxidase (HRP), in catalyzing the bioactivation of dopamine (DA) and epinephrine and their precursors and metabolites to potential neurodegenerative free radical intermediates was examined. To determine the potential contribution of PHS-dependent reactive oxygen species (ROS) formation, the neurotransmitter DA or its precursor and metabolites were incubated in vitro with purified ovine PHS-1 and calf thymus DNA. DA, its L-dihydroxyphenylalanine (L-DOPA), precursor, and its dihydroxyphenylacetic acid (DOPAC) metabolite were excellent PHS-1 substrates, resulting in PHS-1-dependent ROS formation that initiated oxidative DNA damage, selectively quantified as 8-oxo-2'-deoxyguanosine. Most substrates generated isotropic electron spin resonance (ESR) spectra with a resolved hyperfine structure attributable to ortho-semiquinone free radical intermediates upon autoxidation at pH 6, with up to a 18-fold increase via HRP-catalyzed oxidation. Remarkably, HRP-mediated oxidation of DOPAC and dihydroxymandelic acid (DHMA) produced asymmetric ESR spectra characteristic of an immobilized radical, possibly due to free radical intermediates and melanin or melanin-like polymers. These results show that the precursors and metabolites of endogenous neurotransmitters, while inactive in receptor binding assays, may actually play an important role in free radical formation. Additionally, ROS generated by PHS-catalyzed bioactivation produce oxidative DNA damage in the central nervous system, which may initiate neurodegeneration associated with aging.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".