Measurement of basal cerebral perfusion and metabolic activity in LDLr <sup>−/−</sup> ;hApoB <sup>+/+</sup> mice
Bibliographic record
Abstract
The aim of this study was to investigate the feasibility of using positron emission tomography (PET) imaging with readily available radiotracers to assess the effect of atherosclerosis on basal cerebral perfusion and metabolic activity in mice. 13 NH 3 and 18 FDG were selected since the former is widely used for the measurement of myocardial perfusion and the latter is a known marker of cellular glucose metabolism, including in the brain. Adult 12 month‐old male C57Bl/6 mice (n=3) and LDLr −/− ApoB +/+ mice (n=7) with established atherosclerosis were used. The uptake of 13 NH 3 and 18 FDG was measured in both the cortex and the center of the brain. PET images showed consistent higher (30%, p≤0.0001) cerebral 13 NH 3 uptake that was associated with higher (10%, p≤0.001) cerebral 18 FDG uptake in atherosclerotic mice. These data validate the use of PET imaging to measure basal cerebral perfusion and brain metabolic activity in mice. In addition, they suggest that atherosclerosis is associated with higher cerebral perfusion and increased glucose uptake that could reflect hypoxia associated with atherosclerosis, since chronic hypoxia is known to increase brain capillary density and glucose transport across the blood‐brain barrier leading to an enhanced brain 18 FDG uptake. Supported by CIHR (MOP 89733).
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".