Effect of Fat Composition on Allylic Proton Transverse Relaxation and J‐Coupling Evolution at 9.4 T
Bibliographic record
Abstract
Abstract Transverse (T2) relaxation and J‐coupling evolution of oleic, linoleic, and linolenic acid allylic protons are investigated at 9.4 T as an indirect means of assessing fat composition. We hypothesize that the relative proximity of one allylic proton group to the methyl end of the fatty acid impacts the measures. A Point RESolved Spectroscopy (PRESS) sequence was used for apparent (includes J‐coupling effects) T2 estimation. Spectra were acquired from oleic, linoleic, and linolenic acid, from edible oils, and from intraperitoneal adipose tissue of two groups of mice (n = 4 per group) randomized to a high or low ω‐3 diet. Apparent T2 values of 62, 106, and 220 ms were obtained for oleic, linoleic, and linolenic acid allylic protons, respectively. For oils containing negligible linolenic acid, apparent T2 values correlated with linoleic acid contribution to total unsaturation (R2 = 1). For oils containing linolenic acid, a correlation with linolenic acid contribution to total unsaturation was found (R2 = 0.91). In animal experiments, the mean allylic apparent T2 in the group fed the high ω‐3 diet was 72.3 ms compared to 66.1 ms measured from the low ω‐3 diet group. Signal yield with an echo time (TE) of 130 ms results in an inverse correlation with relative linolenic acid content (R2 = 0.99) for the oils.
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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 | 0.001 |
| 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) | 0.002 | 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".