Effects of Concentrated Fine Ambient Particles on Rat Plasma Levels of Asymmetric Dimethylarginine
Bibliographic record
Abstract
The health effects of ambient fine particulate matter (PM(2.5)) and its potential impact on vascular endothelial function have not been thoroughly investigated. As endothelial dysfunction plays an important role in the pathogenesis of atherosclerosis and its complications, we examined the effects of concentrated fine ambient particles (CAPs) on the plasma level of asymmetric dimethylarginine (ADMA) in a pilot study. ADMA is a circulating endogenous inhibitor of nitric oxide synthase (NOS) that is associated with impaired vascular function and increased risk for cardiovascular events. A mobile air research laboratory (AirCARE 1) was used to provide "real-world" CAPs exposures for this study conducted in Detroit, MI. Fourteen Brown Norway rats were exposed to filtered air (FA) (n = 7) or CAPs (0.1-2.5 microm) (n = 7) for 3 consecutive days (8 h/day) in July 2002. Rats were exposed during these periods to average particle mass concentrations of 354 microg/m(3). Rat plasma samples were collected 24 h postexposure. Plasma concentrations of ADMA were significantly elevated in rats exposed to CAPs versus those exposed to FA (mean +/- standard deviation = 1.49 +/- 0.18 vs. 1.29 +/- 0.26 microM, p =.05 by one-tailed t-test). Analyses of meteorological data and CAPs trace element composition suggest that local particle emission sources contributed largely to overall mass of CAPs. Results of this pilot study suggest that exposure to PM(2.5) at high concentrations may trigger an acute increase in circulating ADMA level. This finding has implications for the regulation of vasomotor tone by particulate pollutants and the propensity for adverse cardiovascular events.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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".