Higher intakes of dietary dicarbonyl compounds are associated with lower risk of cardiovascular disease
Notice bibliographique
Résumé
AIMS: Dicarbonyl compounds such as methylglyoxal (MGO), glyoxal (GO), and 3-deoxyglucosone (3-DG) are present in numerous foods. They are pro-inflammatory and pro-oxidative, but their potential role in cardiovascular disease (CVD) development has been scarcely studied. We explored associations between dietary dicarbonyls with fatal and non-fatal CVD. METHODS AND RESULTS: We conducted a case-cohort analysis based on 32 873 subjects drawn from 346 055 participants of the multi-national prospective EPIC cohort. Cases (15 863 subjects) were CVD-free at baseline and later developed CVD [coronary heart disease (CHD) and/or stroke] with non-fatal (n CVD = 17 837; n CHD = 12 003; n stroke = 6791; not mutually exclusive) and/or fatal (n CVD = 2894; n CHD = 2284; n stroke = 908) outcomes. Dietary intake of dicarbonyl compounds was estimated using country-specific questionnaires linked to a food composition database of dicarbonyl compounds. Multivariable prentice weighted Cox proportional hazards regression models were used to estimate hazard ratios (HRs) and 95% CIs for incident non-fatal and fatal CVD. The main food sources of dicarbonyl compounds include cereals, sugar and confectionaries, coffee, fruits, and vegetables. Higher dietary dicarbonyl intakes were inversely associated with non-fatal CVD (per 1 SD increase, GO: HR = 0.95, 95% CI 0.92-0.98; 3-DG: HR = 0.95, 95% CI 0.92-0.98), fatal CVD (MGO: HR = 0.92, 95% CI 0.87-0.97; GO: HR = 0.91, 0.86-0.96; 3-DG: HR = 0.93, 0.86-0.99), non-fatal CHD (3-DG: HR = 0.95, 0.92-0.99), non-fatal stroke (MGO: HR = 0.93, 95% CI 0.90-0.96; GO: HR = 0.90, 95% CI 0.86-0.95; 3-DG: HR = 0.92, 95% CI 0.89-0.96), and fatal CHD (MGO: HR = 0.94, 95% CI 0.88-0.99; GO: HR = 0.92, 0.86-0.98; 3-DG: HR = 0.89, 0.82-0.96). CONCLUSION: Higher intakes of dietary MGO, GO, and 3-DG intake are associated with lower risk of non-fatal or fatal CVD. Further research is required to confirm these findings, assess circulating levels of dicarbonyls, and explore potential underlying mechanisms for their observed CVD risk associations. LAY SUMMARY: Dicarbonyl compounds are known to promote oxidative stress, inflammation, endothelial dysfunction, and vascular complications. They are formed endogenously in the body as a byproduct in glucose metabolism but are also present in some foods during food preparation and processing.We studied the role of three major dicarbonyl compounds coming from foods on cardiovascular diseases using data from the prospective EPIC cohort, which includes over 520 000 participants from 10 European countries.We observed that higher consumption of dietary dicarbonyl compounds resulted in a lower risk of non-fatal or fatal CVD.Our findings highlight the need to better understand the roles of these dietary compounds along with their potential underlying mechanisms of action.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».