Age, Diet, and Season Do Not Affect Longevity-Related Differences in Peroxidation Index Between Spisula solidissima and Arctica islandica
Bibliographic record
Abstract
The susceptibility of membrane lipids to peroxidation (peroxidation index [PI]) increases with the double bond content of fatty acids and is inversely correlated to longevity in mammals, birds, and bivalve molluscs. In molluscs, membrane polyunsaturated fatty acids content can be affected by temperature, nutrition, and the individual's age. In this study, we evaluated how these three parameters may alter correlations between PI and longevity. We determined the fatty acid and dimethyl acetal compositions of phospholipids from gill mitochondrial and nonmitochondrial preparations from the short-lived Spisula solidissima (maximum longevity = 37 years) and the long-lived Arctica islandica (maximum longevity = 507 years) exposed to diet abundance and temperature (season) treatments. We also evaluated the effect of individual age on PI in S. solidissima (from 6 to 23 years). The temperature increase from winter to summer (2 to 12°C) coincided with decreases in values of PI, proportions of eicosapentaenoic acid, and dimethyl acetals. Higher microalgae supplementation increased polyunsaturated fatty acids and PI and decreased dimethyl acetals; age did not affect the PI in S. solidissima. Our finding that the PI of A. islandica remained significantly lower than that of S. solidissima in corresponding fractions throughout treatments suggests that longevity-related differences in PI are resilient to environmental conditions.
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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) | 0.000 | 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) | 0.001 | 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".