Fasting Insulin Levels Influence Plasma Leptin Levels Independently from the Contribution of Adiposity: Evidence from Both a Cross-Sectional and an Intervention Study<sup>1</sup>
Notice bibliographique
Résumé
The aim of the present investigation was to determine whether leptinemia is only a reflection of the status of fat stores or if insulinemia has a significant influence over leptin levels. Study 1 focused on the association between fasting plasma insulin and leptin in subjects of the Quebec Family Study who were first classified as either high- or low-insulin individuals and were then individually matched on the basis of fat mass (FM). In Study 2, 19 men and 23 women took part in a 15-week weight loss program that consisted of drug therapy (fenfluramine, 60 mg/day) or placebo coupled to an energy-restricted diet (-2930 kJ/day). Body weight, FM, and fat-free mass (assessed by underwater weighing) as well as visceral and sc abdominal and mid-thigh adipose tissue measured by computed tomography were assessed before and after weight loss. Blood samples were drawn and analyzed for fasting plasma insulin and leptin before and after weight loss. In Study 1, significant positive associations were noted between log10 transformed fasting insulin and leptin in both men (r = 0.55, P < 0.0001) and women (r = 0.48, P < 0.0001). Moreover, after having carefully matched high-insulin to low-insulin individuals on the basis of FM, significantly lower leptin levels were observed in the low-insulin groups, in men (5.5 vs. 8.1 ng/mL, P < 0.05) as well as in women (18.7 vs. 24 ng/mL, P < 0.05). Results from Study 2 showed significant reductions of body weight, FM, fat-free mass, visceral abdominal tissue, sc abdominal tissue, and mid-thigh adipose tissue levels in men and women in response to the weight loss protocol. Moreover, the decrease in fasting plasma insulin was the only significant correlate of changes in fasting plasma leptin levels during weight loss, even after corrections for changes in FM in both men (r = 0.50, P < 0.05) and women (r = 0.46, P < 0.05). These results suggest that in a population characterized by a wide range of adiposity hyperinsulinemia has the potential to modulate leptin levels beyond what can be explained by total adiposity. Moreover, this relation also seems to exist in a dynamic setting (i.e. during weight loss) because changes in insulin were independent predictors of the changes in leptinemia in both men and women after correction for changes in FM.
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 | 0,004 | 0,006 |
| 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 | 0,001 |
| Communication savante | 0,000 | 0,001 |
| Science ouverte | 0,001 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,001 |
| 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 ».