Sex-differences in circulating biomarkers during acute myocardial infarction: An analysis from the SWEDEHEART registry

Global longitudinal strain in long-term risk prediction after acute coronary syndrome: an investigation of added prognostic value to ejection fraction

AIMS

This study aimed to investigate the additional value of global longitudinal strain (GLS) on top of left ventricular ejection fraction (LVEF) in long-term risk prediction of combined death and heart failure (HF) re-hospitalization after acute coronary syndrome (ACS).

METHOD AND RESULTS

This retrospective study included patients admitted with ACS between 2008 and 2014 from the three participating university hospitals. LVEF and GLS were assessed at a core lab from images acquired during the index hospital stay. Their prognostic value was studied with the Cox proportional hazards model (median follow-up 6.2 years). A nested model comparison was performed with C-statistics. A total of 941 patients qualified for multivariable analysis after multiple imputation of missing baseline covariables. The combined outcome was reached in 17.7% of the cases. Both GLS and LVEF were independent predictors of the combined outcome, hazard ratio (HR) 1.068 (95% CI 1.017-1.121) and HR 0.980 (95% CI 0.962-0.998), respectively. The C-statistic increased from 0.742 (95% CI 0.702-0.783) to 0.749 (95% CI 0.709-0.789) (P = 0.693) when GLS entered the model with clinical data and LVEF.

CONCLUSION

GLS emerged as an independent long-term risk predictor of all-cause death and HF re-hospitalization. However, there was no significant incremental predictive value of GLS when LVEF was already known.

Pro-Inflammatory Biomarkers and Progression of Atherosclerosis in Patients with Myocardial Infarction with Non-Obstructive Coronary Artery Disease: 1-Year Follow-Up

The objective of our study was to evaluate the concentrations of pro-inflammatory biomarkers in patients with acute myocardial infarction with non-obstructive coronary arteries (MINOCA) compared to patients with acute myocardial infarction with obstructive coronary arteries (MI-CAD) in the early post-infarction period and after 1 year and to perform a comparative analysis of the relationship between laboratory biomarkers and atherosclerosis progression in patients with MINOCA and MI-CAD.

METHODS

Samples of peripheral venous blood were collected upon admission and on days 2, 4, and 7 of hospitalization and after 1 year. An extended multiplex analysis was performed in blood serum. Multidetector-computed tomography coronary angiography was performed on day 7 and 1 year after acute myocardial infarction to assess the progression of atherosclerosis.

RESULTS

The level of high-sensitive C-reactive protein (hsCRP) was elevated upon admission in MINOCA patients compared to MI-CAD patients (p = 0.05), but it was comparable in two groups at other time points and did not exceed the reference range after 1 year. Despite comparable levels of cytokines CXCL-6, LIGHT, CCL-8, and endocan-1 in patients in both groups, MINOCA patients had a greater increase in pro-inflammatory cytokines PlGF, oncostatin M, IL-20, and CCL-15 sVCAM-1 in the early post-infarction period and in CCL-21, sVCAM-1, oncostatin M, and PlGF after 1 year. We observed significant differences in the dynamics of the following biomarkers between patients with MI-CAD and MINOCA: the dynamics of concentrations of CCL21 (p = 0.002), LIGHT (p = 0.03), and endocan-1 (p = 0.03) after 1 year compared to day 1 in MI-CAD and MINOCA patients was opposite, while the dynamics of CXCL6 (p = 0.04) and endocan-1 (p = 0.02) differed between groups when evaluated after 1 year compared to day 7 of the early post-infarction period. In the MINOCA group, factors associated with atherosclerosis progression were concentrations of sVCAM-1 and CCL-21, while in the MI-CAD group, concentrations of CCL-8 and CXCL6 were the main determinants of atherosclerosis progression.

CONCLUSIONS

This small study showed that MINOCA and MI-CAD patients exhibited differences in a pro-inflammatory biomarker profile in the early post-infarction period and after 1-year follow-up, which implies distinct inflammatory pathways involved in atherogenesis during MINOCA. The key factors that were associated with atherosclerosis progression in MINOCA patients are sVCAM-1 and CCL-21, which may suggest a complex genesis of atherosclerosis progression due to structurally altered plaques and changes in the microcirculatory bed. In MI-CAD patients, CCL-8 and CXCL-6 were the key biomarkers associated with atherosclerosis progression. Further large-scale studies are required to confirm our data.

Baseline fibroblast growth factor 23 is associated with long-term mortality in ST-elevation myocardial infarction-results from the augsburg myocardial infarction registry

Background

The aim of this study was to investigate the association between inflammatory plasma protein concentrations and long-term mortality in patients with ST-elevation myocardial infarction (STEMI).

Methods

For 343 STEMI patients recorded between 2009 and 2013 by the population-based Myocardial Infarction Registry Augsburg, 92 inflammatory plasma proteins were measured at the index event using the OLINK inflammation panel. In multivariable-adjusted Cox regression models, the association between each plasma protein and all-cause long-term mortality was investigated. Median follow-up time was 7.6 (IQR: 2.4) years. For plasma protein that showed a strong association with long-term mortality, a 5-year survival ROC analysis was performed.

Results

One plasma protein, namely Fibroblast Growth Factor 23 (FGF-23), was particularly well associated with long-term mortality in the multivariable-adjusted Cox model with an FDR-adjusted p-value of <0.001 and a Hazard Ratio (HR) of 1.57 [95% CI: 1.29-1.91]. In the 5-years ROC analysis, an AUC of 0.6903 [95% CI: 0.594-0.781] was estimated for FGF-23. All other plasma protein didńt show strong associations, each marker with FDR-adjusted p-values >0.05 in the multivariable-adjusted Cox models.

Conclusions

FGF-23 is independently associated with long-term mortality after STEMI and might play an important role in the response to myocardial injury. The results suggest FGF-23 to be a useful marker in the long-term treatment of STEMI patients and a potential target for drug development.

Artificial Intelligence and Cardiovascular Risk Prediction: All That Glitters is not Gold

Artificial intelligence (AI) is a broad term referring to any automated systems that need 'intelligence' to carry out specific tasks. During the last decade, AI-based techniques have been gaining popularity in a vast range of biomedical fields, including the cardiovascular setting. Indeed, the dissemination of cardiovascular risk factors and the better prognosis of patients experiencing cardiovascular events resulted in an increase in the prevalence of cardiovascular disease (CVD), eliciting the need for precise identification of patients at increased risk for development and progression of CVD. AI-based predictive models may overcome some of the limitations that hinder the performance of classic regression models. Nonetheless, the successful application of AI in this field requires knowledge of the potential pitfalls of the AI techniques, to guarantee their safe and effective use in daily clinical practice. The aim of the present review is to summarise the pros and cons of different AI methods and their potential application in the cardiovascular field, with a focus on the development of predictive models and risk assessment tools.

Sex-Dependent Mechanisms of Cell Death Modalities in Cardiovascular Disease

Despite currently available therapies, cardiovascular diseases (CVD) are among the leading causes of death globally. Biological sex is a critical determinant of the occurrence, progression and overall outcome of CVD. However, the underlying mechanisms are incompletely understood. A hallmark of CVD is cell death. Based on the inability of the human heart to regenerate, loss of functional cardiac tissue can lead to irreversible detrimental effects. Here, we summarize current knowledge on how biological sex affects cell death-related mechanisms in CVD. Initially, we discuss apoptosis and necrosis, but we specifically focus on the relatively newly recognized programmed necrosis-like processes: pyroptosis and necroptosis. We also discuss the role of 17β-estradiol (E2) in these processes, particularly in terms of inhibiting pyroptotic and necroptotic signaling. We put forward that a better understanding of the effects of biological sex and E2 might lead to the identification of novel targets with therapeutic potential.

Inflammatory plasma proteins predict short-term mortality in patients with an acute myocardial infarction

BACKGROUND

The aim of this study was to investigate the association between inflammatory markers and 28-day mortality in patients with ST-elevation myocardial infarction (STEMI).

METHODS

In 398 STEMI patients recorded between 2009 and 2013 by the population-based Myocardial Infarction Registry Augsburg, 92 protein biomarkers were measured in admission arterial blood samples using the OLINK inflammatory panel. In multivariable-adjusted logistic regression models, the association between each marker and 28-day mortality was investigated. The values of the biomarkers most significantly associated with mortality were standardized and summarized to obtain a prediction score for 28-day mortality. The predictive ability of this biomarker score was compared to the established GRACE score using ROC analysis. Finally, a combined total score was generated by adding the standardized biomarker score to the standardized GRACE score.

RESULTS

The markers IL-6, IL-8, IL-10, FGF-21, FGF-23, ST1A1, MCP-1, 4E-BP1, and CST5 were most significantly associated with 28-day mortality, each with FDR-adjusted (false discovery rate adjusted) p-values of < 0.01 in the multivariable logistic regression model. In a ROC analysis, the biomarker score and the GRACE score showed comparable predictive ability for 28-day mortality (biomarker score AUC: 0.7859 [CI: 0.6735-0.89], GRACE score AUC: 0.7961 [CI: 0.6965-0.8802]). By combining the biomarker score and the Grace score, the predictive ability improved with an AUC of 0.8305 [CI: 0.7269-0.9187]. A continuous Net Reclassification Improvement (cNRI) of 0.566 (CI: 0.192-0.94, p-value: 0.003) and an Integrated Discrimination Improvement (IDI) of 0.083 ((CI: 0.016-0.149, p-value: 0.015) confirmed the superiority of the combined score over the GARCE score.

CONCLUSIONS

Inflammatory biomarkers may play a significant role in the pathophysiology of acute myocardial infarction (AMI) and AMI-related mortality and might be a promising starting point for personalized medicine, which aims to provide each patient with tailored therapy.

Distinct pathophysiological pathways in women and men with heart failure

AIMS

Clinical differences between women and men have been described in heart failure (HF). However, less is known about the underlying pathophysiological mechanisms. In this study, we compared multiple circulating biomarkers to gain better insights into differential HF pathophysiology between women and men.

METHODS AND RESULTS

In 537 women and 1485 men with HF, we compared differential expression of a panel of 363 biomarkers. Then, we performed a pathway over-representation analysis to identify differential biological pathways in women and men. Findings were validated in an independent HF cohort (575 women, 1123 men). In both cohorts, women were older and had higher left ventricular ejection fraction (LVEF). In the index and validation cohorts respectively, we found 14/363 and 12/363 biomarkers that were relatively up-regulated in women, while 21/363 and 14/363 were up-regulated in men. In both cohorts, the strongest up-regulated biomarkers in women were leptin and fatty acid binding protein-4, compared to matrix metalloproteinase-3 in men. Similar findings were replicated in a subset of patients from both cohorts matched by age and LVEF. Pathway over-representation analysis revealed increased activity of pathways associated with lipid metabolism in women, and neuro-inflammatory response in men (all p &lt; 0.0001).

CONCLUSION

In two independent cohorts of HF patients, biomarkers associated with lipid metabolic pathways were observed in women, while biomarkers associated with neuro-inflammatory response were more active in men. Differences in inflammatory and metabolic pathways may contribute to sex differences in clinical phenotype observed in HF, and provide useful insights towards development of tailored HF therapies.

Sexual Dimorphism in Cardiovascular Biomarkers: Clinical and Research Implications

Sex-based differences in cardiovascular disease presentation, diagnosis, and response to therapies are well established, but mechanistic understanding and translation to clinical applications are limited. Blood-based biomarkers have become an important tool for interrogating biologic pathways. Understanding sexual dimorphism in the relationship between biomarkers and cardiovascular disease will enhance our insights into cardiovascular disease pathogenesis in women, with potential to translate to improved individualized care for men and women with or at risk for cardiovascular disease. In this review, we examine how biologic sex associates with differential levels of blood-based biomarkers and influences the effect of biomarkers on disease outcomes. We further summarize key differences in blood-based cardiovascular biomarkers along central biologic pathways, including myocardial stretch/injury, inflammation, adipose tissue metabolism, and fibrosis pathways in men versus women. Finally, we present recommendations for leveraging our current knowledge of sex differences in blood-based biomarkers for future research and clinical innovation.

Differences in biomarker concentrations and predictions of long-term outcome in patients with ST-elevation and non-ST-elevation myocardial infarction

BACKGROUND

Differences in biomarkers reflective of pathobiology and prognosis between ST-elevation myocardial infarction (STEMI) and non-ST-elevation myocardial infarction (NSTEMI) are incompletely understood and may offer insights for tailoring of treatment.

METHODS

This registry-based study included 538 STEMI and 544 NSTEMI patients admitted 2008-2014. Blood samples were collected day 1-3 after admission and 175 biomarkers were analyzed using Proximity Extension Assay and Multiple Reaction Monitoring mass spectrometry. Adjusted Lasso analysis (penalized logistic regression model) was used to select biomarkers that discriminated STEMI from NSTEMI patients. Biomarkers identified by the Lasso analysis were then evaluated in adjusted Cox regressions for associations with death or major adverse cardiovascular events.

RESULTS

Biomarkers strongly discriminated STEMI and NSTEMI when considered simultaneously in adjusted Lasso analysis (c-statistic 0.764). Eleven biomarkers independently discriminated STEMI and NSTEMI; seven showing higher concentrations in STEMI: myoglobin, N-terminal pro-B-type natriuretic peptide, serum amyloid A-1 and A-2 protein, ST2 protein, interleukin-6 and chitinase-3-like protein 1; and four showing higher concentrations in NSTEMI: fibroblast growth factor 23, membrane-bound aminopeptidase P, tumor necrosis factor-related activation-induced cytokine and apolipoprotein C-I. During up to 6.6 years of prognostic follow-up, none of these biomarkers exhibited different associations with adverse outcome between STEMI and NSTEMI.

CONCLUSIONS

In the acute setting, biomarkers indicated greater myocardial dysfunction and inflammation in STEMI, whereas they displayed a more diverse pathophysiologic pattern in NSTEMI patients. These biomarkers were similarly prognostic in STEMI and NSTEMI patients. The results do not support treating STEMI and NSTEMI patients differently based on the concentrations of these biomarkers.

In vivo correlation between morphological characteristics of coronary plaques and functional characteristics of carotid arteries in acute coronary syndrome

BACKGROUND

Carotid artery temperature heterogeneity (ΔΤ) measured by microwave radiometry (MWR) has been associated with future cardiovascular events including acute coronary syndromes. The vulnerable plaques of the coronary arterial tree, that can be ideally depicted by intracoronary imaging such as optical coherence tomography (OCT) have anatomical characteristics such as the thin fibrous cap (TCFA), that make them vulnerable to rupture. The scope of the study was to assess the implication of the carotid artery temperature heterogeneity on the culprit coronary plaque morphology in patients presenting with acute myocardial infarction.

METHODS

34 patients presented with an acute myocardial infarction were enrolled in the study. All patients underwent percutaneous coronary intervention (PCI) and OCT for the evaluation of the anatomical characteristics of the culprit lesion. After the completion of the PCI all patients underwent carotid ultrasound and MWR of both carotid arteries and thermal heterogeneity of the carotid arteries was assessed. Blood samples were collected for high sensitivity C-reactive protein (CRP) analysis.

RESULTS

Thirty four patients, 21 with STEMI (61.76%) and 13 (38.23%) with NSTEMI, were included in the study. Patients with ruptured plaques had significantly increased hsCRP compared to patients that did not have a ruptured plaque (14.41±4.02 vs 9.9±2.5, P<0.005). Thermal heterogeneity, was significantly increased in ruptured plaques compared to no ruptured ones (1.01±0.31 vs 0.51±0.14°C, P=0.001), and in plaques with TCFA compared to those without a TCFA (0.82±0.37 vs 0.60±0.05°C, P=0.001). Diabetes mellitus, ΔΤ and hsCRP, were entered in the multivariate analysis, from which DM (OR 4.12; 95% CI 0.77-22.07; P=0.07) and ΔΤ (OR for 0.1°C increase 1.43; 95% CI 1.03-1.98; P=0.03) remained in the final analysis, and only ΔΤ was independently associated with the presence of the TCFA. Regarding plaque rupture, STEMI, hsCRP, and ΔT were entered in the multivariate analysis from which hsCRP (OR 1.51; 95% CI 0.99-2.28; P=0.051) and ΔΤ (OR for 0.1°C increase 3.40; 95% CI 1.29-8.96; P=0.013) remained in the final analysis with the ΔT being the only variable.

Past, Present, and Future of Blood Biomarkers for the Diagnosis of Acute Myocardial Infarction-Promises and Challenges

Despite important advancements in acute myocardial infarction (AMI) management, it continues to represent a leading cause of mortality worldwide. Fast and reliable AMI diagnosis can significantly reduce mortality in this high-risk population. Diagnosis of AMI has relied on biomarker evaluation for more than 50 years. The upturn of high-sensitivity cardiac troponin testing provided extremely sensitive means to detect cardiac myocyte necrosis, but this increased sensitivity came at the cost of a decrease in diagnostic specificity. In addition, although cardiac troponins increase relatively early after the onset of AMI, they still leave a time gap between the onset of myocardial ischemia and our ability to detect it, thus precluding very early management of AMI. Newer biomarkers detected in processes such as inflammation, neurohormonal activation, or myocardial stress occur much earlier than myocyte necrosis and the diagnostic rise of cardiac troponins, allowing us to expand biomarker research in these areas. Increased understanding of the complex AMI pathophysiology has spurred the search of new biomarkers that could overcome these shortcomings, whereas multi-omic and multi-biomarker approaches promise to be game changers in AMI biomarker assessment. In this review, we discuss the evolution, current application, and emerging blood biomarkers for the diagnosis of AMI; we address their advantages and promises to improve patient care, as well as their challenges, limitations, and technical and diagnostic pitfalls. Questions that remain to be answered and hotspots for future research are also emphasized.