Dietary α‐Linolenic Acid (ALA) Rich Flax Oil Elevates Renal and Hepatic Docsosahexaenoic Acid (DHA) Derived Bioactive Lipids
Notice bibliographique
Résumé
Oxylipins are bioactive lipids that are oxygenated metabolites of polyunsaturated fatty acids, and are the main mediators of their effects in the body. These bioactive molecules are involved in numerous essential physiologic processes. For example, oxylipins derived from docosahexaenoic acid (DHA), such as hydroxy DHA (HDoHE) and protectins, have anti‐proliferative, anti‐inflammatory, anti‐hyperalgesic and pro‐resolving activities. However, conclusions regarding the effects of dietary lipids are often based on their effects on tissue fatty acid composition data. Such data indicate that α‐linolenic acid (ALA) is not efficiently converted to DHA. Since tissue fatty acid composition may not accurately reflect oxylipin levels, the objective of the current studies was to determine whether dietary ALA could influence DHA derived oxylipin levels. In the first study, normal and Han:SPRD‐ Cy weanling male rats (with cystic kidney disease) were given either the AIN93G diet with soy oil as the lipid source or an experimental diet in which ALA rich flax oil replaced 80% of the soy oil. After 8 weeks of dietary treatment, renal phospholipid fatty acids were analyzed by GLC, and select oxylipins by HPLC‐MS/MS. In diseased compared to normal kidneys, DHA and DHA derived 4‐HDoHE levels were 74% lower when rats were given the soy oil diet. As expected, providing flax oil to diseased rats resulted in higher ALA and eicosapentaenoic acid (EPA), but did not alter DHA levels. Similarly, ALA and EPA derived oxylipins were elevated with dietary flax oil, but in contrast to the lack of effect on DHA, the level of 4‐HDoHE was restored to normal levels. This demonstrated that dietary ALA can increase the level of a DHA derived oxylipin. Therefore, in the second study, soy and flax oil diets identical to those in the first study were provided to two models that develop cystic liver disease: PCK rats and Mx1Cre + Pkd1 flox/flox (Pkd1) mice. In this study, a high throughput HPLC‐MS/MS based targeted lipidomic approach was used to simultaneously quantify a large number of oxylipins from the liver tissues. Providing flax oil compared to soy oil resulted in higher levels of hepatic ALA and EPA derived oxylipins in both models, and n‐6 fatty acid derived oxylipins were generally reduced. With respect to DHA derived oxylipins, in PCK rat livers, 7‐, 8‐, 10‐, 11‐, 13‐, 14‐, 16‐, and 17‐ HDoHE were elevated (by 28 – 79 %) and in Pkd1 mouse livers, 10‐, 16‐, 17‐, 13‐, 19‐ and 20‐HDoHE were elevated (by 33 – 70%) with dietary flax oil. In conclusion, although the conversion of ALA to DHA may not appear to be efficient, dietary ALA does increase DHA derived oxylipins. This demonstrates that dietary ALA can be converted to DHA in amounts sufficient to increase DHA derived bioactive lipids and may mediate physiological effects via this conversion. The implications of these findings for dietary ALA and DHA recommendations remain to be elucidated. Support or Funding Information Canadian Institutes of Health Research
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 machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,001 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,001 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,001 | 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 source (Gemma direct ou Codex distillé), 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 ».