Prostaglandin H Synthase-1-Catalyzed Bioactivation of Neurotransmitters, Their Precursors, and Metabolites: Oxidative DNA Damage and Electron Spin Resonance Spectroscopy Studies
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
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.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it