Cathepsin S Levels and Survival Among Patients With Non-ST-Segment Elevation Acute Coronary Syndromes


Abstract

Background

Patients with non–ST-segment elevation acute coronary syndromes (NSTE-ACS) are at high residual risk for long-term cardiovascular (CV) mortality. Cathepsin S (CTSS) is a lysosomal cysteine protease with elastolytic and collagenolytic activity that has been involved in atherosclerotic plaque rupture.

Objectives

The purpose of this study was to determine the following: 1) the prognostic value of circulating CTSS measured at patient admission for long-term mortality in NSTE-ACS; and 2) its additive value over the GRACE (Global Registry of Acute Coronary Events) risk score.

Methods

This was a single-center cohort study, consecutively recruiting patients with adjudicated NSTE-ACS (n = 1,112) from the emergency department of an academic hospital. CTSS was measured in serum using enzyme-linked immunosorbent assay. All-cause mortality at 8 years was the primary endpoint. CV death was the secondary endpoint.

Results

In total, 367 (33.0%) deaths were recorded. CTSS was associated with increased risk of all-cause mortality (HR for highest vs lowest quarter of CTSS: 1.89; 95% CI: 1.34-2.66; P < 0.001) and CV death (HR: 2.58; 95% CI: 1.15-5.77; P = 0.021) after adjusting for traditional CV risk factors, high-sensitivity C-reactive protein, left ventricular ejection fraction, high-sensitivity troponin-T, revascularization and index diagnosis (unstable angina/ non–ST-segment elevation myocardial infarction). When CTSS was added to the GRACE score, it conferred significant discrimination and reclassification value for all-cause mortality (Delta Harrell’s C: 0.03; 95% CI: 0.012-0.047; P = 0.001; and net reclassification improvement = 0.202; P = 0.003) and CV death (AUC: 0.056; 95% CI: 0.017-0.095; P = 0.005; and net reclassification improvement = 0.390; P = 0.001) even after additionally considering high-sensitivity troponin-T and left ventricular ejection fraction.

Conclusions

Circulating CTSS is a predictor of long-term mortality and improves risk stratification of patients with NSTE-ACS over the GRACE score.

Conclusions

Herein, we report that increased circulating levels of CTSS in NSTE-ACS patients, measured during the acute phase of the syndrome, are associated with an adverse risk profile at presentation and confer independent long-term prognostic value. Importantly, combined with the GRACE score, a reliable prognostic tool in ACS, CTSS improved risk stratification in terms of reclassification and discrimination. Effective secondary prevention in NSTE-ACS patients remains a major challenge in cardiology because of increased long-term residual risk despite optimal treatment in these patients. New therapies targeting CV-specific inflammatory pathways are effective in mitigating this risk. Given that CTSS exerts proinflammatory atherosclerotic properties, the novel, hypothesis-generating findings of this study point toward future research to externally validate circulating CTSS as a prognostic and therapeutic biomarker in NSTE-ACS.

Novel Biomarkers for Risk Stratification in NSTE-ACS: Is There a Place for Cathepsin S?


Introduction

Precision medicine offers enormous opportunities for the improvement of clinical outcomes in cardiovascular medicine, and this is particularly relevant for patients with non–ST-segment elevated acute coronary syndromes (NSTE-ACS).1 However, the design and deployment of such diagnostic and therapeutic strategies requires a deep understanding of the pathophysiology of NSTE-ACS. Indeed, vascular inflammation is considered to be a fundamental mechanism behind atherosclerotic plaque rupture,2,3 a concept confirmed by recent clinical trials4,5 demonstrating the reduction of cardiovascular risk by targeting specific inflammatory pathways.6,7 To optimize such therapeutic interventions, there is an unmet need for the following: 1) to discover the most important druggable therapeutic targets; and 2) to develop new ways to guide the application of high-precision treatments to the right patient, at the most appropriate time, to be effective. Although imaging of disease activity offers unique opportunities to detect the vulnerable plaque and the vulnerable patient,8 strategies that combine imaging biomarkers with clinical risk factors, and potentially plasma and/or genetic biomarkers, have the potential to revolutionize precision medicine in acute cardiovascular medicine.9-12

In search of such therapeutic targets in acute coronary syndromes, cathepsin S (CTSS) has emerged.13 CTSS is 1 of an 11-member family of cysteine proteases found to be abundant in atherosclerotic plaques, where it seems to participate in cholesterol metabolism and apoptosis in smooth muscle cells and macrophages.14 Beyond its use as a target for novel therapeutics,13 CTSS has also emerged as a rational blood biomarker of prognostic value. Indeed, clinical studies have demonstrated a positive association between circulating CTSS and the risk of cardiovascular death.15

Although clinical risk stratification scores, like the GRACE (Global Registry of Acute Coronary Events) risk score, perform well in predicting all-cause mortality and/or myocardial infarction,1 it is unclear whether their performance can improve further by adding plasma biomarkers such as CTSS.

In this issue of the Journal of the American College of Cardiology, Stamatelopoulos et al16 explored the incremental value of circulating CTSS for the prognosis of patients with NSTE-ACS over and above the GRACE risk score. The study enrolled 1,112 patients with NSTE-ACS, in which serum CTSS levels were used to risk-stratify them for the primary endpoint of all-cause mortality and a secondary endpoint of cardiovascular death over an 8-year follow-up period.17 Patients in the highest CTSS quartiles displayed an increased prevalence of type 2 diabetes mellitus and left ventricular ejection fraction with progressively increasing high-sensitivity C-reactive protein, high-sensitivity troponin-T, and GRACE risk scores across all quartiles. Multivariable analyses revealed that patients in the highest quartile of CTSS had 2.58 times higher risk for cardiovascular death and 1.89 times higher risk for all-cause mortality compared with those in the lower quartiles. Importantly, the prognostic value of CTSS remained significant even after adjustment for the GRACE score, left ventricular ejection fraction, and high-sensitivity troponin-T.

This assessment is of clear clinical value; however, there are a few areas where additional insight would have been welcome. As a single-center, retrospective study, the findings may suffer from selection bias, and external validation in completely independent and ideally prospective cohorts is essential to ensure the generalizability of the findings. Furthermore, serial CTSS measurements might have allowed us to better appreciate the temporal relationship between CTSS levels and post–NSTE-ACS outcomes. Nevertheless, these findings provide impetus for the continued assessment of CTSS as a clinically relevant biomarker in other conditions in addition to NSTE-ACS,18 including dilated cardiomyopathy,19 atrial fibrillation,20 and others.

Over the last few decades, it has become clear that singular biomarkers for cardiovascular disease often fail to effectively translate into clinical practice in part because of an incomplete capturing of disease pathophysiology and poorly implemented performance benchmarks. This has introduced the need for a more holistic approach in biomarker development, which would include networks of biomarkers in the context of multi-omic panels.9 It is likely that the value of biomarkers like CTSS would be critical if used as part of such a multi-omic approach, which may also incorporate clinical risk factors, genetic information, and advanced imaging, integrated using prognostic modelling or artificial intelligence approaches. Integration of all of these approaches is essential for the introduction of precision medicine in clinical practice (Figure 1).12

Figure 1
Download FigureDownload PowerPointFigure 1 Present and Future of Risk Stratification, Leading to Precision MedicineCurrent clinical practice uses fragmented data for cardiovascular risk stratification, which includes clinical information, individual biomarkers, as well as imaging, assuming that the experienced clinician will weigh and interpret these multidimensional data when making decisions about the management of the patient. In the future, artificial intelligence (AI) is expected to be used to interpret digital information about the patient, multi-omic screening, and advanced image analysis tools, which will be integrated into prognostic models that will guide clinical care. Then we will have achieved implementation of precision medicine in clinical practice. CCTA = computed tomography angiography; CKD = chronic kidney disease; CMR = cardiac magnetic resonance; CVD = cardiovascular disease; FAI = fat attenuation index; GRACE = Global Registry of Acute Coronary Events; hsTnT = high-sensitivity troponin T; LVEF = left ventricular ejection fraction; ML = machine learning; NSTE-ACS = non–ST-segment elevation acute coronary syndromes; PET = positron emission tomography; T2DM = type 2 diabetes mellitus.

Overall, this elegant work by Stamatelopoulos et al16 provides the first clear evidence of the superiority of CTSS in stratifying long-term mortality risk in patients with NSTE-ACS beyond the GRACE risk score. This is in line with our current mechanistic understanding of the relationship between CTSS and atherosclerotic disease and paves the way for further investigations into the validity of CTSS as a prognostic biomarker in acute coronary syndromes, both as a stand-alone biomarker as well as part of multi-omic, multifactorial prognostic models that could transform clinical care in the near future.