The impact of arachidonic acid supplements and dietary fat on blood glucose control
Notice bibliographique
Résumé
Background : The most important lifestyle factors associated with insulin resistance andnthe development of diabetes are certainly dietary habits and the level of physical activityn(1). Changes in serum phospholipid fatty acid composition may play a role in modulatingninsulin action in peripheral tissues (2). Arachidonic acid (20:4, n-6 fatty acid)nsupplement may be beneficial to control blood glucose and to modulate appetite in mennand women (3-5). Furthermore, dietary polyunsaturated fats are associated with andecreased risk to develop diabetes (6).n n Objective : This thesis examined the impact of an oil supplement rich in arachidonic acidn(AA) on blood glucose and on the expression of specific molecules involved in bloodnglucose control (PPAR-gamma, GLUT4, adiponectin). The second aim of the presentnthesis was to verify the impact of AA on appetite profile and plasma leptin levels. Thenthird study of this work looked at the relationship between changes in dietary fat andnchanges in glucose tolerance markers in a large population of Canadian men and womennwho took part in the Quebec Family Study (QFS). Finally, the fourth study used thenQuebec Family Study cohort to look for relationships between the changes in dietary fatnand the changes in glucose tolerance markers. It also compared the diet composition ofnpeople who developed diabetes to the diet of people who did not develop diabetes over anperiod of 6 years.n n Design : Study #1 : Fifteen healthy non-diabetic men and women were randomlynassigned to the placebo group (corn-soy oil capsules) or the AA group (800mg AA richnoil/day). Anthropometric measurements. Oral Glucose Tolerance Test (OGTT) andnfasting serum leptin were performed before and after the 3-week treatment.nStudy #2 : Ten Type 2 diabetic men and women were part of a randomized cross-overntrial composed of 2 periods of 3-week treatment (0.8g/ day AA or Placebo) separated byna 2-week wash-out. Fasting plasma glucose, insulin, leptin, appetite profile (with visualnanalogue scales) and anthropometric measurements were performed before and after eachnperiod of treatment. Moreover, an abdominal subcutaneous fat biopsy was done beforenand after the AA. Finally, the mRNA expression of PPAR-gamma, GLUT4 andnadiponectin from the adipose tissue biopsies was measured by RT-PCR.nStudy #3 : A cross-sectional study in which anthropometric measurements and OralnGlucose Tolerance Tests were performed on 472 Canadian men and women. Thesenparticipants were asked to complete food diaries from which the dietary fatty acidncomposition was estimated. Study #4: In this longitudinal study, anthropometricnmeasurements and OGTT were performed in 183 subjects before and after a period of 6nyears. Secondly, the baseline diet of 32 patients who developed diabetes was compared tonthe diet of 32 patients matched for percentage body fat and age.n n Results: No significant impact of treatments were observed on anthropometricnmeasurements, fasting blood glucose, leptin and insulin levels in diabetic and nonndiabetic patients of study #1 and #2. The Area Under the Curve of glucose during thenOGTT was similar before and after the treatments in non-diabetic patients. Moreover, thenPPAR-gamma and GLUT4 mRNA expression measured in adipose tissue of diabeticnpatients did not change with the increased AA intake. In diabetic patients, the onlynsignificant variation was the adiponectin mRNA expression increase after the AAntreatment. The appetite profile measured in Type 2 diabetic patients did not changensignificantly with the treatments. In study #3, high intake of monounsaturated fat andnarachidonic acid seems to be related to higher glucose or higher insulin values. Thenstepwise regression analysis showed that 22-32% of the variance of blood glucose controlnmarkers was explained by age and anthropometric variables. Finally, the longitudinalnstudy (study #4) revealed that participants who developed diabetes over a period of 6nyears had a higher energy intake, a higher protein intake and a higher monounsaturatednfatty acid intake compared to subjects who did not develop diabetes.n n Conclusions : A short-term supplement of 0.8g AA/day has not been perceived as anneffective complement to help controlling blood glucose and improve appetite when nonother changes in the diet were prescribed. Among the types of dietary fat,nmonounsaturated fat seems to be the best predictor of glucose tolerance changes in ourncohort of patients.nnn
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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 | 0,001 | 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 ».