Abstract 158: The Impact of the Mediterranean Diet on Inflammatory Markers in Men and Premenopausal Women: Do Sex Differences Exist?
Bibliographic record
Abstract
Introduction Little is known about the impact of the Mediterranean diet (MedDiet) on inflammatory markers. Objective To investigate the effects of a 4-week controlled isoenergetic MedDiet on adiponectin and high-sensitivity C-reactive protein (hs-CRP) concentrations in premenopausal women and age-matched men. Methods Participants were 37 men and 32 premenopausal women aged 24-53 years with a slightly elevated plasma LDL-C (3.4-4.9 mmol/L) or total cholesterol to HDL-C ratio ≥ 5.0, i.e. individuals for whom the adoption of healthy dietary habits is recommended in CVD prevention. During the experimental MedDiet, all foods and drinks were provided to participants. Adiponectin and hs-CRP concentrations were measured before and after the MedDiet by ELISA. This controlled 4-week experimental MedDiet has been previously shown to improve lipid and lipoprotein profiles and blood pressure in both men and women. Results Adiponectin concentration decreased in response to the MedDiet (time effect, P<0.0001), with a tendency for a greater decrease in men (-17.3%, P=0.0001) than in women (-10.7%, P=0.27; sex by time interaction effect P=0.075). A higher adiponectin concentration before the MedDiet was associated with a greater decrease in response to the MedDiet (r=-0.36 and P=0.003). The MedDiet had no impact on hs-CRP concentration in both men and women (value before the MedDiet: 1.53±0.25 mg/L in men and 2.32±0.31 mg/L in women; time effect, P=0.50; time by sex interaction, P=0.36). hs-CRP concentration before the MedDiet was negatively associated with variations in hs-CRP concentrations in response to the MedDiet (r=-0.39 and P=0.002). Conclusions Our results suggest that short term consumption of MedDiet in isocaloric conditions, which has overall beneficial effects on traditional risk factors, leads to a decrease in adiponectin concentration, an adipokine known for its anti-inflammatory properties, and has no impact on hs-CRP concentration. This decrease in adiponectin concentration may be more pronounced in men than in premenopausal women. This unexpected impact of the MedDiet on adiponectin concentration, especially in men, needs further investigation.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.006 | 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".