Composition and distribution of fatty acids in various lipid fractions in serum and follicular fluid of women undergoing assisted reproductive technology
Bibliographic record
Abstract
Fatty acids (FA) in follicular fluid (FF) are present in an esterified form [triglycerides, cholesterol esters and phospholipids] or as non-esterified FA, which partly originate from blood. However, a comprehensive comparison of blood vs. FF FA in various lipid classes is missing. The aim of this study was to determine the distribution of the FA composition in each lipid class of serum and FF, and to investigate their mutual correlations. A total of 74 patients undergoing assisted reproductive technology treatment were involved in the study. Both in serum as well as FF, saturated FA and mono-unsaturated FA were predominant in non-esterified FA and triglycerides fractions while poly-unsaturated FA were mainly present in phospholipids and cholesterol esters fractions, although phospholipids also contained high proportions of saturated FA. Irrespective of the lipid class, the FA proportions differed between serum and FF (P < 0.05). Despite these differences, most of the FA in triglycerides, phospholipids and cholesterol esters of FF were well correlated with their proportions in serum. Nevertheless, only weak to moderate associations (r < 0.60) were observed for the majority of the FA in the non-esterified FA fraction. Differences in FA product/precursor-ratios were found between serum and FF, such as higher C20:4n-6 to C18:2n-6 and C20:5n-3 to C18:3n-3 in FF. FA metabolism (e.g. desaturation and elongation) takes place in cells of the intrafollicular micro-environment. Moreover, good correlations between esterified FA in serum and FF suggest esterified FA in blood could be representative of esterified FA in FF.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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) | 0.001 | 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".