Anti-N-homocysteinylated protein autoantibodies and cardiovascular disease
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
Metabolic conversion of homocysteine (Hcy) to a chemically reactive metabolite, Hcy-thiolactone, catalyzed by methionyl-tRNA synthetase is the first step in a pathway that is suggested to contribute to Hcy toxicity in humans. The accumulation of Hcy-thiolactone is detrimental because of its intrinsic ability to modify proteins by forming N-Hcy-protein adducts, in which a carboxyl group of Hcy is N-linked to the epsilon-amino group of a protein lysine residue. N-linked Hcy occurs in each protein examined and constitutes a significant pool of Hcy in the blood. N-Hcy proteins are likely to be recognized as neo-self antigens and induce an autoimmune response. Indeed, we found that autoantibodies specific for an Nepsilon-Hcy-Lys epitope on N-Hcy-proteins occur in humans. Serum levels of anti-N-Hcy-protein autoantibodies are directly correlated with plasma tHcy, but not with plasma cysteine or methionine levels. In a group of male patients with stroke, levels of anti-N-Hcy-protein autoantibodies and tHcy were significantly higher than in a group of healthy subjects. In a group of male patients with angiographically documented coronary artery disease, seropositivity for anti-N-Hcy-protein autoantibodies occurred five-fold more frequently than in controls and was an independent predictor of coronary artery disease. These findings show that the formation of N-Hcy-proteins has important physiological consequences and support a hypothesis that N-Hcy-protein is a neo-self antigen that contributes to immune activation, an important modulator of atherogenesis.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| 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