Chemical shift of <sup>129</sup>Xe dissolved in red blood cells: Application to a rat model of bronchopulmonary dysplasia
Bibliographic record
Abstract
Purpose To measure the chemical shift of hyperpolarized 129Xe dissolved in the red blood cells(δRBC) of a cohort of rats exposed to hyperoxia and intermittent hypoxia (IH) to mimic human bronchopulmonary dysplasia, and to investigate the effect of xenon‐blood distribution time on δRBC. Methods δRBC was measured from spectra acquired using a chemical shift saturation recovery sequence from 15 Sprague‐Dawley rats exposed to hyperoxia‐IH and 10 age‐matched control rats. Sensitization to the xenon‐blood distribution time was achieved by varying the time between saturation pulses, τ. δRBC was compared with blood fraction measured by histology of the cohort and blood oxygenation measured directly using pulse oximetry following a hypoxic challenge in an identically exposed cohort. Results The mean δRBC in the hyperoxia‐IH exposed rats was 0.55 ± 0.04 ppm lower than that of the healthy cohort (P = .0038), and this difference did not depend on τ (P = .996). The blood fraction of the exposed cohort was lower than that of the healthy cohort (P = .0397). Oximetry measurements showed that the baseline arterial oxygen saturation (SaO2) of each cohort was not different (P = .72), but after a hypoxic challenge, the SaO2 of the exposed cohort was lower than that of the healthy cohort (P = .003). Conclusion δRBC is reduced in rats exposed to hyperoxia‐IH compared with control rats. The change in δRBC is consistent with enhanced blood oxygen desaturation of the exposed cohort measured by pulse oximetry during a hypoxic challenge. This suggests that the observed change in δRBC reflects enhanced desaturation in the hyperoxia‐IH exposed cohort compared with the healthy cohort.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 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 | 0.001 |
| 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".