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Enregistrement W2025291890 · doi:10.1210/jc.2011-0685

More than Inflammation: Interleukin-1β Polymorphisms and the Lipid Metabolism

2011· letter· en· W2025291890 sur OpenAlexaff
Mihai G. Netea, Charles A. Dinarello

Notice bibliographique

RevueThe Journal of Clinical Endocrinology & Metabolism · 2011
Typeletter
Langueen
DomaineImmunology and Microbiology
ThématiqueAtherosclerosis and Cardiovascular Diseases
Établissements canadiensInstitute of Infection and Immunity
Organismes subventionnairesNational Institute of Allergy and Infectious DiseasesNational Institutes of HealthRadboud Universitair Medisch CentrumRadboud Universiteit
Mots-clésApolipoprotein EInflammationLDL receptorEndocrinologyReceptorFoam cellInternal medicineApolipoprotein BLipid metabolismKnockout mouseReceptor antagonistBiologyLipoproteinCytokineInterleukinImmunologyMedicineCholesterolAntagonistDisease

Résumé

récupéré en direct d'OpenAlex

Increasing evidence supports the concept that IL-1 plays a role in the atherosclerotic process. The development of atherosclerotic lesions in the arterial walls of apolipoprotein E (ApoE) or low-density lipoprotein (LDL) receptor-deficient mice is markedly reduced in mice deficient in the IL-1 receptor or in the IL-1α or IL-1β themselves. The lesions are increased, however, in mice deficient in the naturally occurring IL-1 receptor antagonist (1). Moreover, treatment of ApoE-deficient mice eating a high-fat diet with anti-IL-1β antibodies prevents the arterial wall lesions (2). In ApoE knockout mice, a bacterial challenge worsens the disease but this is prevented in mice also deficient in the IL-1 receptor (3). Similarly, in mice deficient in the LDL receptor, the production of IL-1α and IL-1β by macrophages is enhanced (4). The culprit in the formation of atherosclerotic lesions is IL-1 produced by the myeloid cells rather than the endothelium or mesenchymal cells (5). Recent insights have suggested an important role of IL-1 in atherosclerosis by inducing formation of the foam cell, which enters the arterial wall and orchestrates the inflammatory plaque. Indeed, foam cells are full of IL-1β as well as IL-1α. In fact, within a few hours after eating a fatty meal, there is increased IL-1β in the circulating monocytes (6), independent of the high or low glycemic composition of the meal (7). These in vivo clinical studies are consistent with in vitro data of several reports demonstrating an increase in gene expression and secretion of IL-1β from fresh blood monocytes exposed to oxidized LDL in vitro. Other lipids also induce IL-1β, such as cholesterol (CHOL) (8), chylomicrons (9), or triglycerides (TG) (10). One can conclude that postprandial hyperlipidemia can be a signal for the circulating monocyte to increase IL-1β production, and that IL-1β-laden monocytes entering a plaque as foam cells contribute to the atherosclerotic process. It is also not unexpected that caspase-1 contributes to the atherosclerotic process via NLRP3 (NLR family, pyridine containing domain 3) (8). In the paper by Delgado-Lista et al. (11), individuals bearing the -1473 CC IL-1B polymorphism likely have a pronounced atherosclerotic process because this single nucleotide polymorphism is associated with increased fasting lipids in the elderly population. In younger persons with this polymorphism, when using a meal challenge, higher circulating postprandial CHOL and TG concentrations were observed. Because of the well-known relationship between IL-1β activity and the circulating IL-6 concentrations, correlations were made with IL-6. However, readers of the paper by Delgado-Lista et al. (11) should be aware that the elevated levels of IL-6 are more than just a marker of IL-1β activity. Individuals treated with monoclonal antibodies that block the IL-6 receptor (tocilizumab) have increased LDL levels (12). Thus, the study by Delgado-Lista contributes to the concept that IL-1β-driven IL-6 modulate the regulation of serum lipids by the liver. Nevertheless, the authors concluded that elderly homozygotes for the rare allele have increased levels of fasting TG. Due to the combination of increased TG and IL-6 levels, we also hypothesize that these patients overrespond to the proinflammatory stimulus that occurs after a fatty meal. These data have considerable implications for the risk of cardiovascular events. These authors are rather familiar with effects of this IL-1B polymorphism. They reported previously that individuals homozygous for the minor allele had a higher risk for elevated blood pressure (P < 0.05), as well as a nonstatistically significant trend for a greater degree of abdominal obesity and metabolic syndrome (P = 0.07) (13). There are several important clinical consequences of the findings presented by Delgado-Lista et al. (11). The increased release of proinflammatory cytokines after a fatty meal in individuals bearing the -1473 CC variant in IL-1B gene results in a chronic state of heightened inflammation, which has been directly related to chronic pathologies such as atherosclerosis, coronary artery disease, or metabolic syndrome (14). More specifically, the increase in postprandial IL-6 concentration in individuals bearing genetic variants of the IL-1B gene promoter bears witness to an increased IL-1β bioactivity in these persons, because IL-1β is known as the main driver of IL-6 synthesis (15). IL-1β is one of the major proinflammatory cytokines involved in atherosclerosis, metabolic syndrome, and insulin resistance (16, 17). The study by Delgado-Lisa et al. (11) takes us, however, one step further. In addition to identifying the postprandial increase in proinflammatory cytokines in individuals bearing the -1473 CC variant, the authors also investigate the consequences of this process on TG and CHOL. Proinflammatory cytokines such as TNF and IL-1β have been known from the mid-1980s to have major effects on lipid metabolism. TNFα, initially also known as cachectin, suppresses the level of adipocyte lipoprotein lipase (LPL) (18). In addition, IL-1 was reported by the Cerami laboratory (18) to reduce LPL. LPL suppression by proinflammatory cytokines has been one of the most consistent findings in patients with systemic inflammation, particularly in patients with sepsis (19). Due to the inhibition of LPL activity, the breakdown of lipids results in higher levels of TG and very low-density lipoprotein in the circulation. Delgado-Lisa et al. (11) should be congratulated because they link the earlier in vitro and animal studies to the human in vivo physiology by showing that a genetic variant of IL-1B that is associated with an increased bioactivity also results in higher TG and CHOL after a physiological meal. What are the implications of these findings for human physiology? On the one hand, the most obvious consequence, as suggested by the authors themselves, is that the resulting persistent heightened state of inflammation in the individuals bearing the -1473 CC IL-1B variant may contribute both directly (inflammation in the arterial wall) and indirectly (high CHOL) to the atherogenic process. In addition, the repeated postprandial increase in IL-1 bioactivity in these individuals can have important effects on glucose metabolism, with toxic effects on the pancreatic β-cells (20, 21) as well as increased insulin resistance at the level of the adipose tissue (16). Beyond metabolic diseases, the increased proinflammatory profile in individuals bearing the -1473C allele can also have consequences on autoinflammatory diseases such as gout, a condition in which IL-1β is known to play a crucial role in the pathogenesis (22) and in which the synergism between uric acid crystals and free fatty acids has been shown to be necessary to induce IL-1β production and inflammation (23). On the other hand, one should not forget that the cytokine-induced cholesterol release has been most likely evolved as a protective mechanism during infections. Proinflammatory cytokines both activate host defense mechanisms and induce the release of lipoproteins that bind and neutralize lipopolysaccharide and other toxic bacterial products (24). High levels of CHOL and lipoproteins protect against infections both in experimental studies (25) and in epidemiological studies in humans, especially those of old age (19). An unexplored consequence of the findings of Delgado-Lista et al. (11) is therefore the potential positive link between the -1473 CC IL-1B polymorphism and protection from complications of infectious diseases. In conclusion, the study of Delgado-Lisa et al. (11) provides an important piece of evidence, accumulated in a clinical setting in humans to support the important role of IL-1 for the lipid metabolism. The consequences of these findings are broad. First, they help to improve understanding of the pathophysiology of metabolic and inflammatory disorders in which IL-1 plays a role. Second, these findings provide strong evidence for the rationale of using anti-IL-1 biological therapy in metabolic disorders and open the door for adjustment of this therapy according to the genetic status of an individual. M.G.N was supported by a Vici grant of The Netherlands Organization for Scientific Research. C.A.D is supported by National Institutes of Health Grant AI-15614. Disclosure Summary: The authors have nothing to declare. For article see page E816 Apolipoprotein E cholesterol low-density lipoprotein lipoprotein lipase triglycerides.

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 enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,001
score de la tête « metaresearch » (Gemma)0,006
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: aucune
GenreSignal candidat: Commentaire · Signal consensuel: Commentaire
Score de désaccord entre enseignants0,008
Score d'incertitude au seuil0,028

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0010,006
Méta-épidémiologie (sens strict)0,0010,000
Méta-épidémiologie (sens large)0,0020,001
Bibliométrie0,0010,001
Études des sciences et des technologies0,0010,001
Communication savante0,0020,002
Science ouverte0,0010,001
Intégrité de la recherche0,0080,012
Charge utile insuffisante (le modèle a refusé de juger)0,0080,004

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 Opus0,036
Tête enseignante GPT0,291
Écart entre enseignants0,254 · 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 source (Gemma direct ou Codex distillé), pas un consensus.

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

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

En bref

Citations17
Publié2011
Routes d'admission1
Résumé présentoui

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