Association between fatty acid biomarkers of dairy fat consumption and insulin sensitivity in humans
Notice bibliographique
Résumé
Background: Epidemiological studies have shown that greater consumption of dairy fat is associated with lower risk of type 2 diabetes (T2D).This inverse association is particularly strong when C15:0, C17:0, and tC16:1n-7 fatty acid (FA) proportions in circulation are used as biomarkers of dairy fat intake.Evidence for an association between plasma and serum levels of these biomarkers and insulin resistance, as measured by surrogate indices, remains inconclusive.Only two studies have assessed this relationship with biomarkers in adipose tissue which reflect long-term intake of FA.Branched-chain FA are emerging as potential markers of dairy fat intake and may help clarify the association between dairy intake and T2D.Objective: To evaluate the association between established and potential biomarkers of dairy fat intake in adipose tissue and hyperinsulinemic clamp-based measures of insulin sensitivity.Methods: Subcutaneous adipose tissue of 58 adults (mean age 47 y, 57% females, 45% with T2D) were analyzed.Fatty acids (n=57), including odd-chained FA, branched-chain FA and conjugated linoleic acids (CLA), were quantified using gas chromatography-mass spectrometry.Insulin sensitivity, expressed as insulin sensitivity index, glucose rate of appearance and rate of disposal, was assessed using the hyperinsulinemic-euglycemic clamp.Dietary intake was estimated from 3-day food diaries and a 24-h recall.Linear regression models examined the association between FA biomarkers of dairy fat intake and insulin sensitivity.Results: A total of 57 FA were detected across all samples, with 37 present in 90% of samples and 19% being the targeted FA.The clamp-based insulin sensitivity index was found to range from 0.07 to 2.22 (mg/kg LBM•min)/(pmol/L).In a multivariable analysis adjusted for age, sex, BMI, and T2D status, FA C15:0 (𝛽=4.01[1.37, 6.64], p=0.004), anteiso-C15:0 (𝛽= 2.51 [0.707, 4.31], p=0.007) and cis-9 trans-11 CLA (𝛽= 5.30 [1.04, 9.57], p=0.02) in subcutaneous adipose tissue were positively and independently associated with peripheral insulin sensitivity.There was inverse association between C17:0 ( 𝛽=-0.014[-0.699, 0.671], p=0.97), and tC16:1n-7(𝛽=-0.034[-0.239,0.171],p=0.74), and whole-body insulin sensitivity.The method for FA detection was optimized with sufficient resolution and sensitivity for target FA.However, difficulties in the analysis included distinguishing between endogenous and exogenous internal standards, co-elution of antioxidant with FA, the presence of contaminants and unidentifiable FA, and signal saturation for abundant FA.Conclusion: Increased proportions of FA in adipose tissue considered as established and emerging biomarkers of dairy fat intake were positively associated with insulin sensitivity, independently of known factors.The findings imply that the consistent inverse association between dairy fat intake and T2D outcomes may be attributed to improved insulin sensitivity.Further optimization of the FA measurement method and additional studies are required to validate these findings.CE -Cholesterol ester CFG -Canada's Food Guide CLA -Conjugated linoleic acid CVD -Cardiovascular disease DR -Dietary recall DXA -Dual-energy X-ray absorptiometry FA -Fatty acids FAME -Fatty acid methyl ester FFA -Free fatty acids FFQ -Food frequency questionnaire FID -Flame ionization detection HbA1C -Glycated hemoglobin HEC -Hyperinsulinemic-euglycemic clamp HOMA-IR -Homeostatic model of assessment insulin resistance IS -Insulin sensitivity ISI -Insulin sensitivity index GC-Gas chromatography LBM -Lean body mass MS -Mass spectrometry OCFA -Odd chained fatty acid OGTT -Oral glucose tolerance test PL -Phospholipid Ra -Rate of glucose appearance Rd -Rate of glucose disposal SAT -Subcutaneous adipose tissue SFA -Saturated fatty acids TAG -Triacylglycerides T2D -Type 2 diabetes
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 | 0,001 |
| 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) | 0,004 | 0,001 |
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 ».