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

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

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

Bibliographic record

VenueThe Journal of Clinical Endocrinology & Metabolism · 2011
Typeletter
Languageen
FieldImmunology and Microbiology
TopicAtherosclerosis and Cardiovascular Diseases
Canadian institutionsInstitute of Infection and Immunity
FundersNational Institute of Allergy and Infectious DiseasesNational Institutes of HealthRadboud Universitair Medisch CentrumRadboud Universiteit
KeywordsApolipoprotein EInflammationLDL receptorEndocrinologyReceptorFoam cellInternal medicineApolipoprotein BLipid metabolismKnockout mouseReceptor antagonistBiologyLipoproteinCytokineInterleukinImmunologyMedicineCholesterolAntagonistDisease

Abstract

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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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.008
Threshold uncertainty score0.028

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.006
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0020.002
Open science0.0010.001
Research integrity0.0080.012
Insufficient payload (model declined to judge)0.0080.004

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.036
GPT teacher head0.291
Teacher spread0.254 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreCommentary

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations17
Published2011
Admission routes1
Has abstractyes

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