Distinct Transcriptional Signatures of Monocytes Treated with α-linolenic Acid and Docosahexaenoic Acid
Notice bibliographique
Résumé
Docosahexaenoic acid (DHA) can be obtained directly from the diet or produced by elongation and desaturation of α-linolenic acid (ALA). Both are proposed to reduce inflammation associated with obesity, however, fewer studies have investigated ALA. The objective of this study was to evaluate the gene expression changes in monocytes induced by each fatty acid and to compare the predicted functional outcomes. RNA was extracted from THP-1 monocytes treated with ALA, DHA or vehicle for 48 h and then transcriptomics profiles were assessed by microarray. Multiple tools were used for data interpretation, including fold change analysis, Principal Component Analysis (PCA), Variable Importance Projection (VIP), Ingenuity Pathway Analysis (IPA) and Network Analyst. We found that the ALA and DHA treatments produced distinct profiles with many individual genes making small contributions to the separation between groups. Relative to vehicle treatment, many downregulated targets were similarly affected by both ALA and DHA. Several of these downregulated genes are involved in cholesterol synthesis and are regulated by miR-335–5p, a microRNA upregulated by both treatments. Consistently, IPA predicted similar pathways and functions are decreased by ALA and DHA, most notably cholesterol biosynthesis. In contrast, ALA and DHA upregulated unique gene sets and in agreement IPA predicted each treatment would activate distinct pathways and functions. ALA was strongly and uniquely predicted to increase infection responses while only DHA was predicted to increase oxidative phosphorylation. Finally, analysis of the protein-protein interaction network involving the genes modified by each fatty acid treatment allowed us to predict the most functionally important gene targets, which will be tested in future studies. These analyses have revealed both unique and overlapping effects of ALA and DHA on the monocyte gene expression profile, providing further evidence that they have distinct bioactivities. Many novel predictions were made and these will form the basis for future studies investigating the effects of ALA and DHA on human physiology. Natural Sciences and Engineering Research Council of Canada; 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 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 | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 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 ».