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Record W4391068766 · doi:10.5694/mja2.52209

Inflammation: the next target for secondary prevention in coronary artery disease

2024· article· en· W4391068766 on OpenAlexaboutno aff
Samia Kazi, James J.H. Chong, Clara K Chow

Bibliographic record

VenueThe Medical Journal of Australia · 2024
Typearticle
Languageen
FieldMedicine
TopicAdipokines, Inflammation, and Metabolic Diseases
Canadian institutionsnot available
FundersUniversity of SydneyMedical Research CouncilNovo NordiskSanofiEli Lilly and CompanyNational Health and Medical Research CouncilAmgen
KeywordsMedicineInflammationCoronary artery diseaseDiseaseImmune systemObservational studyRisk factorInternal medicineImmunologyC-reactive proteinCardiology

Abstract

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Coronary artery disease (CAD) remains the leading cause of death in the world. Secondary prevention including antiplatelet, antihypertensive and lipid lowering medicines, as well as behavioural and lifestyle interventions are established treatments, and their implementation continues to be a global health system challenge.1 Yet even if well implemented, residual elevated risk remains for recurrent events, the nature of which may be changing in line with the changes seen to risk factor profiles of patients with CAD.2 Observational studies have shown that people with high inflammatory states and autoimmune conditions have a high prevalence of cardiovascular disease (CVD) and higher risk of repeat cardiovascular events, including mortality.3, 4 Early evidence of this was observed in the Physicians’ Health Study when apparently healthy men with elevated C-reactive protein (CRP) levels were at higher risk of cardiovascular events.5 Associations of high-sensitivity CRP (hsCRP) and other elevated inflammatory markers such as tumour necrosis factor (TNF)-α and interleukin (IL)-6 with atherosclerosis and cardiovascular events, as demonstrated in multiple subsequent observational studies,6, 7 all pointed to a mechanistic role for inflammation. Mechanistic studies have described the interplay between inflammatory and anti-inflammatory components of the immune system which lead to plaque development and progression. Clinical studies suggest that CVD risk associated with inflammation is modifiable and, thus, an alternative new treatment target.6, 8 Here, we discuss the case for targeting inflammation in the secondary prevention of CAD. Poor lipid metabolism results in stimulation of the immune system, with some epitopes of oxidised low-density lipoprotein (LDL) triggering an innate and adaptive immune response.9 Endothelial injury, such as hypertension and oxidative stress, allows monocytes to enter the artery wall.9 LDL becomes entrapped in the intimal layer of the coronary artery, where monocytes transform into macrophages and engulf the LDL to form foamy macrophages.10 Macrophages also stimulate an adaptive immune response by activating T cells.9 T cells such as Th1 cells release pro-inflammatory cytokines (eg, IL-1β, TNF-α and interferon [IFN]-γ).9 Other immune cells such as neutrophils and mast cells also release pro-inflammatory cytokines (eg, IFN-γ, TNF-α and IL-6), which further recruit immune cells and inflammation.9 This all contributes to the chronic inflammatory process of atherosclerosis (Box 1). The high turnover of inflammatory cells leads to cell death and development of a necrotic core within the atherosclerotic plaque. There is also a counteracting anti-inflammatory process. The exact role of protective T cells and reparative macrophage in atherosclerosis remains unclear with continued research interest, as they provide further alternative targets to atherosclerosis.1 GM-CSF = granulocyte-macrophage colony-stimulating factor; IFN = interferon; IL = interleukin; LPS = lipopolysaccharide; TNF = tumour necrosis factor. * This response stimulates T cells to release pro-inflammatory cytokines and monocytes to develop into macrophages, with further release of inflammatory cytokines. This process predisposes to the development of atherosclerosis. When vulnerable plaque ruptures, it leads to thrombus formation. All aspects of this cascade are potential targets for therapeutic agents.1 Although the mechanism of the immune system continues to be explored, therapeutic treatments that target inflammation have been reported. (Box 2 and Box 3). The first trial that raised attention on the potential use of existing anti-inflammatory medication in CAD was the Australian- and Canadian-led Low-Dose Colchicine (LoDoCo) trial.11 This was a prospective, randomised, observer-blinded, endpoint design among 532 patients with stable CAD, randomly assigned to colchicine 0.5 mg per day or no colchicine. At a mean follow-up of 2.4 years, a primary outcome event (composite of acute coronary syndrome, out-of-hospital cardiac arrest, or non-cardioembolic ischaemic stroke) occurred in 5% of the patients assigned to the colchicine group and in 16% of those assigned to the control group (hazard ratio [HR], 0.33; 95% confidence interval [CI], 0.18–0.59; P < 0.001; number needed to treat, 11). The findings were surprising given the large effect size, though previous research had suggested plausible mechanisms. This included retrospective observations showing that continuous use of colchicine is associated with a lower than expected risk of myocardial infarction in patients with familial Mediterranean fever16 and gout, and colchicine is known to suppress neutrophils, a key contributor to plaque instability. IL = interleukin. This trial was followed by the Canakinumab Anti-inflammatory Thrombosis Outcomes Study (CANTOS),6 in which canakinumab was administered to patients with a history of myocardial infarction and an elevated hsCRP. Canakinumab is a monoclonal antibody targeting IL-1β, a pro-inflammatory cytokine used in rheumatological diseases. The study compared three doses of canakinumab with placebo and showed a reduction in cardiovascular events (repeat myocardial infarction, stroke and cardiovascular death) in the population who received the 150 mg dose independent of their LDL-cholesterol levels.6 Importantly, canakinumab did increase the risk of infection and sepsis compared with placebo, highlighting potential significant “off-target” effects caused by chronic non-specific inflammatory suppression.17 Two studies involving colchicine were released shortly after CANTOS: the Colchicine Cardiovascular Outcomes Trial (COLCOT)12 and the Low Dose Colchicine for Secondary Prevention of Cardiovascular Disease 2 (LoDoCo2) trial.13 COLCOT randomly assigned 4745 patients to colchicine or placebo within 30 days of their myocardial infarction and showed a 23% relative risk reduction for cardiovascular death, stroke, repeat myocardial infarction or urgent hospitalisation for angina requiring revascularisation.12 LoDoCo2 randomly assigned 5522 patients with chronic coronary disease to colchicine or placebo and found a relative risk reduction of 31% for cardiovascular death, myocardial infarction, ischaemic stroke or ischaemia-driven revascularisation over a median follow-up of 28.6 months.13 Although CANTOS recruited patients with an elevated residual risk determined by measuring hsCRP, the colchicine trials did not. Primary and secondary endpoint rates in CANTOS were high, with cumulative incidences of more than 20% in five years in the placebo group despite controlled levels of LDL-cholesterol, suggesting that hsCRP may be a potential measure of residual risk.6 The Cardiovascular Inflammation Reduction Trial (CIRT), a trial of low dose methotrexate, recruited patients with diabetes or the metabolic syndrome instead of hsCRP.14 Methotrexate did not reduce cardiovascular events or IL-1β, IL-6 or hsCRP compared with placebo. This is despite multiple observational studies demonstrating a reduction in CVD in patients with arthritis treated with methotrexate.18 Furthermore, there was a higher incidence of transaminitis, anaemia and infection. The CIRT trial highlights the importance of targeting appropriate populations with residual risk of CAD given the risks of immunosuppression. The mechanism of methotrexate continues to be researched but some studies suggest that although it reduces inflammatory cytokines in joints, it may increase inflammatory cytokines (IL-1, IL-6 and TNF) in macrophages.18 Smaller clinical studies have explored other treatments or combinations of treatments but have thus far been inconclusive. A recent pilot study of hydroxychloroquine showed promising lower IL-6 levels in the treatment group compared with the placebo group with no reported serious adverse events.15 However, the trial only had a total of six cardiovascular events at 12 months and, thus, was inconclusive on clinical endpoints including adverse events. In addition, a trial of methotrexate and colchicine in stable CAD compared three groups: 24 patients assigned to low dose methotrexate and colchicine, 23 to colchicine and placebo, 24 to methotrexate and placebo, and 23 to placebo only. It found no difference at eight or 24 weeks in coronary endothelial measures.19 A review pooling data from 11 594 patients from previously described trials (COLCOT, COPS [Colchicine in Patients with Acute Coronary Syndromes], LoDoCo, and LoDoCo2) reports significant reductions in cardiovascular events: 32% in the incidence of the composite of CVD mortality, myocardial infarction, ischaemic stroke and urgent coronary revascularisation; 38% for myocardial infarction; 62% for stroke; and 44% for urgent coronary revascularisation.16 This evidence has led to a class IIb recommendation for colchicine in the 2021 European Society of Cardiology guidelines for secondary prevention, particularly in patients with uncontrolled risk factors and recurrent events despite optimal medical therapy.20, 21 Health Canada in 2021 also approved low dose colchicine in secondary prevention.22 Uncertainty remains about the long term benefits and safety of low dose colchicine; however, given widespread availability, low cost, and tolerability profile of a drug that has been used for years, there is reason for its incorporation into guidelines for the very high risk patient at least. This differs from canakinumab with both the magnitude of its side-effect profile and uncertainty in how to best target an at-risk population. These issues need addressing before this or similar agents can be considered to have clinical utility. Alongside the need to have a better understanding of the cellular mechanisms to enable targeted treatments and improved safety is the need to measure inflammation more specifically. Only hsCRP is clinically used to quantify inflammation and this is non-specific to CAD. Other inflammatory biomarkers such as IL-6 and myeloperoxidase are associated with secondary cardiovascular events but are also non-specific to CAD and influenced by factors such as age and body mass index.23, 24 Currently, the timing for measurement of these biomarkers, particularly after an acute event, and overall utility of measuring these remain unclear. Further research is required to understand appropriate test and timing to ensure best response to these newly developing therapies. Future research, including the ZEUS trial,1 which has identified higher risk patients (elevated hsCRP) and targeting a downstream marker of inflammation (IL-6), will provide insights into the best target population for these drugs. The studies highlighted in this perspective article detail the multiple lines of evidence which show that targeting the immune system can benefit cardiac outcomes in the setting of CAD secondary prevention. Yet the identification of the population with residual risk due to inflammation needs to be carefully considered. There is still uncertainty about who has a net benefit from these treatments, but probably we have enough knowledge now to know that it is not everyone. Clara Chow is the recipient of a National Health and Medical Research Council (NHMRC) Investigator Grant (APP1195326). James Chong was supported by an NHMRC Medical Research Future Fund Investigator Grant (APP1194139). The funding sources had no direct role in this study. Open access publishing facilitated by The University of Sydney, as part of the Wiley - The University of Sydney agreement via the Council of Australian University Librarians. Clara Chow has been a speaker, panel member, or attended expert forums and received honoraria for a variety of pharmaceutical companies, including, in the past three years, Novartis, Amgen, Eli Lilly, Sandoz/Sanofi, and Novo Nordisk. Samia Kazi has been a speaker and panel member for Novo Nordisk. Commissioned; externally peer reviewed.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.749
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.042
GPT teacher head0.332
Teacher spread0.290 · 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 teacher head, not a consensus.

Study designOther design
Domainnot available
GenreEmpirical

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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Citations7
Published2024
Admission routes1
Has abstractyes

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