Challenging dogma: is hepatic lipid accumulation in type 2 diabetes due to mitochondrial dysfunction?
Notice bibliographique
Résumé
A major prevailing hypothesis is that hepatic lipid accumulation contributes to hyperglycaemia in type 2 diabetics by blunting the ability of insulin to suppress hepatic glucose production (Lowell & Shulman, 2005). While the cause of this excess hepatic lipid content is widely debated, evidence from multiple experimental models suggests that lipid accumulation is related to impaired mitochondrial oxidative capacity (Szendroedi et al. 2009; Rector et al. 2010, 2011; Schmid et al. 2011; Franko et al. 2014; Linden et al. 2014). This evidence is based, in part, on in vivo assessments of hepatic ATP production using indirect 31-P magnetic resonance spectroscopy (MRS) (Szendroedi et al. 2009; Schmid et al. 2011). In this issue of The Journal of Physiology, Lund et al. (2016) argue that more direct assessments of human liver mitochondria are warranted in order to eliminate the potential influence of cytosolic ATP inherent in the 31-P MRS approach, and to determine whether dysregulation exists within specific sites of the mitochondrial oxidative phosphorylation cascade. Using biopsies of human liver – an innovation for the field of mitochondrial bioenergetics in diabetes – the authors report similar respiratory capacities assessed in vitro despite increases in liver lipid content in type 2 diabetics vs. control subjects. Respiratory capacities were assessed for the specific reason of addressing the hypothesis that a reduction in mitochondrial oxidative capacity itself, particularly with regard to fat oxidation, is causal for hepatic fat accumulation. These findings directly challenge the growing dogmatic view that mitochondrial dysfunction contributes to ectopic lipid accumulation and hepatic pathology in type 2 diabetes. As the authors note, reconciling these findings with previous work requires careful consideration of the methodologies employed. In vitro assessments of mitochondrial oxidative phosphorylation are based on oximetry whereby the rate of oxygen utilization (‘respiration’) is interpreted as an index of ATP synthesis. This procedure effectively retains mitochondrial morphology by avoiding tissue homogenization. Furthermore, a preliminary washing step removes the cytosolic compartment which permits the isolation of specific enzymatic components of oxidative phosphorylation by strategic introduction of exogenous substrates. The measurement of ‘capacities’ offers the specific advantage of testing the dogmatic hypothesis that a ‘reduced capacity’ for oxidative phosphorylation – specifically fat oxidation – exists in type 2 diabetic liver. Indeed, this study demonstrated that mitochondrial capacity for fat oxidation in vitro was not different between diabetics and control participants, which does not support the long-held view of reduced mitochondrial capacity being causally linked to increases in liver lipid content. The authors note that comparing their data to the previous MRS literature might suggest that the evidence for reduced ATP synthesis rates in vivo could be influenced by cytosolic ATP. This comparative approach is essential for reconciling the literature but is also important for questioning how we can advance our in vitro methodologies to model critical regulatory factors present in vivo. Indeed, a strength of the previous studies with 31-P MRS (Szendroedi et al. 2009; Schmid et al. 2011) would seem to be the calculation of ATP synthesis rates in the presence of physiological regulatory parameters within the cytosol, cell membrane and extracellular compartments in vivo. As Lund et al. discuss, considering the advantages and disadvantages of both approaches, one advance might be to re-examine human liver mitochondrial function in vitro with physiological concentrations of substrates found in vivo (‘sub-capacity’). Careful consideration of additional regulatory factors of hepatic fat oxidation (e.g. lipid droplet catabolism, endocrine/humoral regulators, fatty acid uptake, etc.) might raise further intriguing approaches for modelling respiratory control in vivo that might be lost in vitro. Furthermore, comparing respirometric responses to other in vitro approaches, as used previously in rodents (Rector et al. 2010, 2011; Franko et al. 2014; Linden et al. 2014), might be a useful comparative approach to isolate potential dysfunctions in fat oxidation. The present investigation is significant in that it challenges a prevailing model that mitochondrial dysfunction contributes to hepatic fat accumulation in type 2 diabetes in humans. Indeed, the similarities between control and diabetics in the Lund study are consistent with an alternative model whereby lipid accumulation is due to an excess delivery of lipids to the liver or de novo lipogenesis from glucose that surpasses metabolic demand (i.e. excess dietary intake combined with sedentarism) rather than reductions in fat oxidation within mitochondria themselves. As such, the present investigation should stimulate conversation regarding the prevailing conceptual models of mitochondrial dysfunction as a causal event in hepatic lipid accumulation in type 2 diabetes. Furthermore, this investigation forms a foundation for future conciliatory investigations that draw on the advantages of major in vitro and in vivo methodologies for assessing hepatic mitochondrial function in humans. None declared.
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 | 0,016 | 0,033 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,003 | 0,001 |
| Bibliométrie | 0,002 | 0,001 |
| Études des sciences et des technologies | 0,002 | 0,016 |
| Communication savante | 0,004 | 0,013 |
| Science ouverte | 0,004 | 0,004 |
| Intégrité de la recherche | 0,011 | 0,020 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,003 | 0,003 |
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 ».