Abstract P533: Distinct Molecular Compositions of Circulating Microparticles in Hypertension and Diabetes
Bibliographic record
Abstract
Background: Microparticles (MPs) are emerging as novel markers and mediators of vascular pathology. The purpose of this study was to examine the effect of hypertension and diabetes on the molecular composition of circulating MPs. Methods: We studied circulating MPs isolated from transgenic mice expressing active human renin in the liver (TtRhRen, a model of hypertension), OVE26 type 1 diabetic mice, and their wild-type (WT) littermates. At 20 weeks of age mice were sacrificed and blood samples were obtained by cardiac puncture. MPs were subsequently isolated from platelet-free plasma via differential centrifugation and protein content was assessed via mass spectrometry (MS). Results: TtRhRen mice exhibited increased blood pressure compared with OVE26 mice or their WT littermates. (144.2±7.6 vs 123.5±4.9 [OVE26] vs. 114.6±5.7 mmHg [WT], p<0.05). MS identified 300 independent proteins with at least 2 peptides per protein. Of these, 167 were found in all groups studied, 27 were exclusive to WT mice, 4 were exclusive to TtRhRen mice and 46 were exclusive to OVE26 mice. In addition, 16 proteins were found in MPs from WT and OVE26 mice but absent from TtRhRen mice while 40 were found in MPs from TtRhRen and OVE26 mice but absent in MPs from WT mice. Interestingly, proteins exclusive to MPs derived from hypertensive TtRhRen mice included two proteins previously implicated in the pathogenesis of hypertension: insulin-like growth factor-binding protein 5 and haptoglobin. Conclusions: Taken together our results suggest that circulating MPs display a distinct molecular composition, reflective of pathogenic state. Further examination of these changes may lead to the identification of novel biomarkers of vascular injury in hypertension and 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 | 0.000 | 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) | 0.000 | 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".