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Enregistrement W1980624836 · doi:10.1111/j.2040-1124.2012.00235.x

Visfatin and resistin: Mediators of the pleiotropic effects of incretins?

2012· article· en· W1980624836 sur OpenAlexaboutno aff
Eitaro Nakashima

Notice bibliographique

RevueJournal of Diabetes Investigation · 2012
Typearticle
Langueen
DomaineMedicine
ThématiqueAdipokines, Inflammation, and Metabolic Diseases
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésResistinAdipokineMedicineInsulin resistanceInternal medicineEndocrinologyNicotinamide phosphoribosyltransferaseAdipose tissueInflammationDiabetes mellitusMetabolic syndromeType 2 diabetesBiology

Résumé

récupéré en direct d'OpenAlex

Adipocytokines play an important role in the pathogenesis of atherosclerosis through inflammation associated with obesity and metabolic syndrome. In many studies, visfatin and resistin are reported as modulators of insulin sensitivity and inflammatory status in humans. Visfatin has been reported to be a beneficial adipocytokine with insulin mimicking/sensitizing effects. In contrast, resistin was originally reported as a molecule mediating between obesity and insulin resistance. Despite the opposite effect on insulin sensitivity, these two adipocytokines include pro-inflammatory properties. Visfatin represents a new adipocytokine, which is used because of its predominant production in visceral fat that is also named pre-B-cell colony-enhancing factor or nicotinamide phosphoribosyltransferase, reflecting the pleiotropic effect of this adipocytokine. Some previous papers focused on the relationship between insulin resistance and visfatin action. Visfatin was also identified as a pro-inflammatory and predictive marker; for example, indicating the extent of peripancreatic adipose tissue necrosis and clinical severity in acute pancreatitis. There is increasing evidence that resistin, as well as visfatin itself, might contribute to inflammatory progression by evoking cytokine production and nuclear factor-kappa B (NF-κB) activation. We showed in a previous paper that resistin polymorphism and serum resistin levels might be a risk marker for stroke susceptibility in Japanese type 2 diabetic patients. Resistin levels in blood might be regulated by genetic factors in Asians, but also resistin itself might affect the progression of atherosclerotic diseases1. We and others reported that serum resistin levels are increased in a genotype-dependent manner based on the RETN polymorphism at –420 (C > G). We also showed that the genotyping of this polymorphism might be a good risk marker for stroke susceptibility in Japanese type 2 diabetic patients in a recent paper1. However, there have been some conflicting reports that do not support a relationship between the blood resistin levels and susceptibility to cardiovascular diseases. Kim et al.2 previously reported that in 3T3-L1 adipocytes, glucose-dependent insulinotropic polypeptide (GIP), in the presence of insulin, increased resistin secretion through a pathway involving p38 mitogen-activated protein kinase (p38 MAPK) and the stress-activated protein kinase/jun amino-terminal kinase (SAPK/Jun). The other major incretin glucagon-like peptide-1 (GLP-1), however, did not show any significant effects. In in vivo studies of Vancouver Diabetic Fatty Zucker rats, blood GIP and resistin elevation were observed, and the administration of resistin to 3T3-L1 adipocytes mimicked the effects of GIP on the protein kinase B (PKB)/liver kinase B1 (LKB1)/adenosine monophosphate-activated protein kinase (AMPK)/lipoprotein kipase (LPL) pathway. Knockdown of resistin using ribonucleic acid interference attenuated the effect of GIP on the PKB/LKB1/AMPK/LPL pathway in 3T3-L1 adipocytes. From these observations, resistin might be a key mediator of GIP stimulation of lipoprotein kipase (LPL) activity, but not GLP-1. These data might represent a pathophysiological relationship between resistin and GIP. In a recently published paper in Journal of Clinical Endocrinology and Metabolism, the authors explored the physiological regulation of visfatin release in vivo in healthy, non-diabetic probands and also in an in vitro study using 3T3-L1 adipocytes3. Fasting visfatin levels were not different between sexes or lean/obese individuals, but were negatively correlated with fasting glucose levels. Visfatin levels were rapidly suppressed on an oral glucose load. In vitro experiments showed that hyperglycemia, osmotic stress and sex steroids did not influence visfatin release. In contrast, insulin strongly inhibited visfatin release in vitro by 50%, and this suppression was more pronounced under hyperglycemia. GLP-1 strongly inhibited adipocytic visfatin release by approximately 50%. The authors concluded that insulin and GLP-1 are responsible for the rapid suppression of visfatin levels on an oral glucose intake in healthy probands. Furthermore, they concluded that the inhibitory effect of GLP-1 on adipotic visfatin release in an in vitro study by 3T3L1 cell line together with the absence of direct glucose effects on visfatin release suggests the existence of a novel incretin-like effect represented by a GLP-1–visfatin axis. This report attracted my interest, because the beneficial effect of GLP-1 on the cardiovascular system has been supposed to work through a non-GLP-1 receptor4. The aforementioned GLP-1–visfatin pathway might contribute to the development of atherosclerotic diseases at least in part. In a more recently published paper in Diabetologia5, the authors systematically evaluated visfatin expression among several tissues and found that visfatin was predominantly expressed in leukocytes. They also identified higher visfatin protein levels in lysates of granulocytes. They also confirmed the enzymatic activity of visfatin and concluded that leukocytes are a major source of enzymatically active visfatin, which might serve as a biomarker or even a mediator linking obesity, inflammation and insulin resistance. Based on these data, the implications of previous results by Bala et al.3 should be considered more carefully, because in vitro experiments using the 3T3-L1 murine adipocyte cell line cannot be implicated as the only explanation of the suppression of visfatin after rapid oral glucose load. Leukocytes in blood might also respond to GLP-1 stimulated by glucose load, and suppression of visfatin might occur. It is worth mentioning that resistin has also been reported as an inflammatory cytokine expressed dominantly in human macrophages, and has been reported to be elevated in patients with obesity and inflammation. There were some common characteristics observed in these two adipocytokines. However, the report by Bala et al.3 on the inhibitory effect of GLP-1 on adipocytic visfatin release might lead to new interesting and profound insights into the regulation of inflammatory adipocytokines and pathogenesis of atherosclerosis. Both adipocytokine visfatin and resistin have similar characteristics as inflammatory mediators of the pleiotropic effect of GLP-1 or GIP on the atherosclerotic process (Figure 1). Experiments using non-active GLP-1 (9–36), which does not activate the GLP-1 receptor, might clarify the role of the possible pathway of the GLP-1–visfatin axis in vitro and in vivo. Elucidating the detail(s) of the GLP-1–visfatin pathway might lead to new therapeutic approaches; that is, for atherosclerotic diseases. As a resistin receptor has not yet been reported, exploration by molecular-biological methods for resistin and GIP is difficult. However, resistin might also be a molecule of therapeutic target, and exploring the relationship between the resistin–GIP pathway might be useful for pathophysiological and clinical settings. Genetic studies on the visfatin and resistin genes, and their mutations, will also contribute to the understanding and explanation of these phenomena.

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 enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,003
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,150
Score d'incertitude au seuil0,365

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,003
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

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.

Tête enseignante Opus0,007
Tête enseignante GPT0,227
Écart entre enseignants0,220 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_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 découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations3
Publié2012
Routes d'admission1
Résumé présentoui

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