Augmentation of blood lipid glycation and lipid oxidation in diabetic patients
Bibliographic record
Abstract
Lipid oxidation plays a role in the pathophysiology of several diseases, including diabetes. Patients with type 2 diabetes show abnormally high plasma levels of phosphatidylcholine hydroperoxide (PCOOH). However, little is known about the biochemical processes that increase plasma PCOOH in diabetes. We hypothesized that "glycated lipid moieties" may form in diabetic plasma and cause oxidative stress resulting in PCOOH formation. To evaluate this hypothesis, liquid chromatography-tandem mass spectrometry (LC-MS/MS) methods were developed to analyze Amadori-glycated phosphatidylethanolamine (Amadori-PE, an early stage Maillard product), as well as the advanced glycation end products (AGE) carboxymethyl-PE (CM-PE) and carboxyethyl-PE (CE-PE). The product ion scan, neutral loss scanning, and multiple reaction monitoring provide useful structural and quantitative information about Amadori-PE, CM-PE, and CE-PE in diabetic plasma and erythrocytes. We found that plasma and erythrocyte Amadori-PE concentrations were significantly higher in diabetic patients (757±377 nM plasma, 2793±989 nM packed cells) than in normal subjects (165±66 nM plasma, 712±52 nM packed cells), and that Amadori-PE concentrations were positively correlated with PCOOH. By contrast, no significant differences were observed in blood AGE-PE concentrations between diabetic patients (CM-PE: 7.7±3.5 nM plasma, 528±83 nM packed cells; CE-PE: 2.5±1.1 nM plasma, 82±24 nM packed cells) and normal subjects (CM-PE: 6.6±3.1 nM plasma, 705±533 nM packed cells; CE-PE: 4.2±1.5 nM plasma, 68±16 nM packed cells). These results suggest that Amadori-PE is more prone to accumulation in the blood with diabetes than CM-PE or CE-PE. This review describes the involvement of blood lipid glycation and lipid oxidation in the development of diabetes.
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How this classification was reachedexpand
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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) | 0.000 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".