Circulating levels of nitrated apolipoprotein A-I are increased in type 2 diabetic patients
Bibliographic record
Abstract
Recent work has shown that high-density lipoprotein (HDL) isolated from human atherosclerotic lesions and the blood of patients with established coronary artery disease contains elevated levels of 3-nitrotyrosine and 3-chlorotyrosine. A higher nitrotyrosine content in lipoprotein is significantly associated with diminished cholesterol efflux capacity of the lipoprotein. Since accelerated atherogenesis is a key complication of diabetes mellitus, and nitrosative stress has recently been implicated in diabetic pathology, we set out to demonstrate an increase in the circulating levels of nitrated apolipoprotein A (apoA)-I in type 2 diabetic patients and its putative correlation with metabolic biomarkers. In this work we addressed this hypothesis in a case-control study with 30 type 2 diabetic patients and 30 age-matched control subjects. Nitrated apoA-I was 3280+/-1910 absorbance peak area/apoA-I (g/L) for diabetic patients and 2320+/-890 for control subjects (p<0.037). This represents a 50% increase in circulating nitrated apoA-I in diabetic patients to age-matched controls. Diabetic patients also showed increases of a similar magnitude in circulating advanced glycation endproducts measured as pentosidine fluorescence (44.16+/-16.26 vs. 30.84+/-12.86 AU; p<0.01) and in circulating lipoperoxides (46.0+/-18.0 vs. 37.2+/-18.0 nmol/L; p<0.03). No significant correlation was found between nitration of apoA-I and glycosylated hemoglobin or any of the other parameters measured. If proven in subsequent functional and in vivo studies, increased nitrated apoA-I would represent another mechanism by which nitrosative stress participates in diabetic macro-angiopathy.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".