Transcriptional, epigenetic and metabolic signatures in cardiometabolic syndrome defined by extreme phenotypes.

BACKGROUND: This work is aimed at improving the understanding of cardiometabolic syndrome pathophysiology and its relationship with thrombosis by generating a multi-omic disease signature. METHODS/RESULTS: We combined classic plasma biochemistry and plasma biomarkers with the transcriptional and epigenetic characterisation of cell types involved in thrombosis, obtained from two extreme phenotype groups (morbidly obese and lipodystrophy) and lean individuals to identify the molecular mechanisms at play, highlighting patterns of abnormal activation in innate immune phagocytic cells. Our analyses showed that extreme phenotype groups could be distinguished from lean individuals, and from each other, across all data layers. The characterisation of the same obese group, 6 months after bariatric surgery, revealed the loss of the abnormal activation of innate immune cells previously observed. However, rather than reverting to the gene expression landscape of lean individuals, this occurred via the establishment of novel gene expression landscapes. NETosis and its control mechanisms emerge amongst the pathways that show an improvement after surgical intervention. CONCLUSIONS: We showed that the morbidly obese and lipodystrophy groups, despite some differences, shared a common cardiometabolic syndrome signature. We also showed that this could be used to discriminate, amongst the normal population, those individuals with a higher likelihood of presenting with the disease, even when not displaying the classic features.

Determination of N7-glycidamide guanine adducts in human blood DNA following exposure to dietary acrylamide using liquid chromatography/tandem mass spectrometry.

RATIONALE: Acrylamide is classified as a probable human carcinogen that is metabolised to glycidamide, which can covalently bind to DNA. The aim of this study was to investigate the formation of N7-glycidamide guanine (N7-GA-Gua) adducts in human blood DNA following exposure to acrylamide present in carbohydrate-rich foods as part of the normal human diet. METHODS: Lymphocyte DNA was extracted from blood samples obtained from healthy human volunteers. Following thermal depurination of the DNA samples, N7-GA-Gua adducts were quantified using a validated liquid chromatography/tandem mass spectrometry (LC/MS/MS) method incorporating a stable isotope labelled internal standard. Estimated dietary acrylamide intake was recorded by completion of food frequency questionnaires for the 24 hours prior to volunteer blood donation. RESULTS: An LC/MS/MS method was validated with a limit of detection of 0.25 fmol and a lower limit of quantitation of 0.50 fmol on column. N7-GA-Gua adducts were detected in human blood DNA with the levels ranging between 0.3 to 6.3 adducts per 108 nucleotides. The acrylamide intake was calculated from the food frequency questionnaires ranging between 20.0 and 78.6 µg. CONCLUSIONS: Identification and quantification of N7-GA-Gua adducts in the blood DNA of healthy volunteers suggests that dietary acrylamide exposure may lead to the formation of DNA adducts. This important finding warrants further investigation to ascertain a correlation between environmental/dietary acrylamide exposure and levels of DNA adducts.

Plasma proteomic approach in patients with heart failure: insights into pathogenesis of disease progression and potential novel treatment targets.

AIMS: To provide insights into pathogenesis of disease progression and potential novel treatment targets for patients with heart failure by investigation of the plasma proteome using network analysis. METHODS AND RESULTS: The plasma proteome of 50 patients with heart failure who died or were rehospitalised were compared with 50 patients with heart failure, matched for age and sex, who did not have an event. Peptides were analysed on two-dimensional liquid chromatography coupled to tandem mass spectrometry (2D LC ESI-MS/MS) in high definition mode (HDMSE). We identified and quantified 3001 proteins, of which 51 were significantly up-regulated and 46 down-regulated with more than two-fold expression changes in those who experienced death or rehospitalisation. Gene ontology enrichment analysis and protein-protein interaction networks of significant differentially expressed proteins discovered the central role of metabolic processes in clinical outcomes of patients with heart failure. The findings revealed that a cluster of proteins related to glutathione metabolism, arginine and proline metabolism, and pyruvate metabolism in the pathogenesis of poor outcome in patients with heart failure who died or were rehospitalised. CONCLUSIONS: Our findings show that in patients with heart failure who died or were rehospitalised, the glutathione, arginine and proline, and pyruvate pathways were activated. These pathways might be potential targets for therapies to improve poor outcomes in patients with heart failure.

Proenkephalin and prognosis in heart failure with preserved ejection fraction: a GREAT network study.

BACKGROUND: Proenkephalin (PENK), a stable endogenous opioid biomarker related to renal function, has prognostic utility in acute and chronic heart failure. We investigated the prognostic utility of PENK in heart failure with preserved ejection fraction (HFpEF), and its relationship to renal function, Body Mass Index (BMI), and imaging measures of diastolic dysfunction. METHODS: In this multicentre study, PENK was measured in 522 HFpEF patients (ejection fraction > 50%, 253 male, mean age 76.13 ± 10.73 years) and compared to 47 age and sex-matched controls. The primary endpoint was 2-years composite of all-cause mortality and/or heart failure rehospitalisation (HF). A subset (n = 163) received detailed imaging studies. RESULTS: PENK levels were raised in HFpEF (median [interquartile range] 88.9 [62.1-132.0]) compared to normal controls (56.3 [47.9-70.5]). PENK was correlated to urea, eGFR, Body Mass Index and E/e' (rs 0.635, - 0.741, - 0.275, 0.476, respectively, p < 0.0005). During 2 years follow-up 144 patients died and 220 had death/HF endpoints. Multivariable Cox regression models showed PENK independently predicted 2 year death/HF [hazard ratio (for 1 SD increment of log-transformed biomarker) HR 1.45 [95% CI 1.12-1.88, p = 0.005]], even after adjustment for troponin (HR 1.59 [1.14-2.20, p = 0.006]), and Body Mass Index (HR 1.63 [1.13-2.33, p = 0.009]). PENK showed no interaction with ejection fraction status for prediction of poor outcomes. Net reclassification analyses showed PENK significantly improved classification of death/HF outcomes for multivariable models containing natriuretic peptide, troponin and Body Mass Index (p < 0.05 for all). CONCLUSIONS: In HFpEF, PENK levels are related to BMI, and measures of diastolic dysfunction and are prognostic for all-cause mortality and heart failure rehospitalisation.

Using matrix assisted laser desorption ionisation mass spectrometry (MALDI-MS) profiling in order to predict clinical outcomes of patients with heart failure.

BACKGROUND: Current risk prediction models in heart failure (HF) including clinical characteristics and biomarkers only have moderate predictive value. The aim of this study was to use matrix assisted laser desorption ionisation mass spectrometry (MALDI-MS) profiling to determine if a combination of peptides identified with MALDI-MS will better predict clinical outcomes of patients with HF. METHODS: A cohort of 100 patients with HF were recruited in the biomarker discovery phase (50 patients who died or had a HF hospital admission vs. 50 patients who did not have an event). The peptide extraction from plasma samples was performed using reversed phase C18. Then samples were analysed using MALDI-MS. A multiple peptide biomarker model was discovered that was able to predict clinical outcomes for patients with HF. Finally, this model was validated in an independent cohort with 100 patients with HF. RESULTS: After normalisation and alignment of all the processed spectra, a total of 11,389 peptides (m/z) were detected using MALDI-MS. A multiple biomarker model was developed from 14 plasma peptides that was able to predict clinical outcomes in HF patients with an area under the receiver operating characteristic curve (AUC) of 1.000 (p = 0.0005). This model was validated in an independent cohort with 100 HF patients that yielded an AUC of 0.817 (p = 0.0005) in the biomarker validation phase. Addition of this model to the BIOSTAT risk prediction model increased the predictive probability for clinical outcomes of HF from an AUC value of 0.643 to an AUC of 0.823 (p = 0.0021). Moreover, using the prediction model of fourteen peptides and the composite model of the multiple biomarker of fourteen peptides with the BIOSTAT risk prediction model achieved a better predictive probability of time-to-event in prediction of clinical events in patients with HF (p = 0.0005). CONCLUSIONS: The results obtained in this study suggest that a cluster of plasma peptides using MALDI-MS can reliably predict clinical outcomes in HF that may help enable precision medicine in HF.

Proteomic diversity of high-density lipoprotein explains its association with clinical outcome in patients with heart failure.

AIMS: Previously, low high-density lipoprotein (HDL) cholesterol was found to be one of the strongest predictors of mortality and/or heart failure (HF) hospitalisation in patients with HF. We therefore performed in-depth investigation of the multifunctional HDL proteome to reveal underlying pathophysiological mechanisms explaining the association between HDL and clinical outcome. METHODS AND RESULTS: We selected a cohort of 90 HF patients with 1:1 cardiovascular death/survivor ratio from BIOSTAT-CHF. A novel optimised protocol for selective enrichment of lipoproteins was used to prepare plasma. Enriched lipoprotein content of samples was analysed using high resolution nanoscale liquid chromatography-mass spectrometry-based proteomics, utilising a label free approach. Within the HDL proteome, 49 proteins significantly differed between deaths and survivors. An optimised model of 12 proteins predicted death with 76% accuracy (Nagelkerke R2 =0.37, P < 0.001). The strongest contributors to this model were filamin-A (related to crosslinking of actin filaments) [odds ratio (OR) 0.31, 95% confidence interval (CI) 0.15-0.61, P = 0.001] and pulmonary surfactant-associated protein B (related to alveolar capillary membrane function) (OR 2.50, 95% CI 1.57-3.98, P < 0.001). The model predicted mortality with an area under the curve of 0.82 (95% CI 0.77-0.87, P < 0.001). Internal cross validation resulted in 73.3 ± 7.2% accuracy. CONCLUSION: This study shows marked differences in composition of the HDL proteome between HF survivors and deaths. The strongest differences were seen in proteins reflecting crosslinking of actin filaments and alveolar capillary membrane function, posing potential pathophysiological mechanisms underlying the association between HDL and clinical outcome in HF.

Proenkephalin, Renal Dysfunction, and Prognosis in Patients With Acute Heart Failure: A GREAT Network Study.

BACKGROUND: Proenkephalin A (PENK) and its receptors are widely distributed. Enkephalins are cardiodepressive and difficult to measure directly. PENK is a stable surrogate analyte of labile enkephalins that is correlated inversely with renal function. Cardiorenal syndrome is common in acute heart failure (HF) and portends poor prognosis. OBJECTIVES: This study assessed the prognostic value of PENK in acute HF, by identifying levels that may be useful in clinical decisions, and evaluated its utility for predicting cardiorenal syndrome. METHODS: This multicenter study measured PENK in 1,908 patients with acute HF (1,186 male; mean age 75.66 ± 11.74 years). The primary endpoint was 1-year all-cause mortality; secondary endpoints were in-hospital mortality, all-cause mortality or HF rehospitalization within 1 year, and in-hospital worsening renal function, defined as a rise in plasma creatinine ≥26.5 µmol/l or 50% higher than the admission value within 5 days of presentation. RESULTS: During 1-year follow-up, 518 patients died. Measures of renal function were the major determinants of PENK levels. PENK independently predicted worsening renal function (odds ratio: 1.58; 95% confidence interval [CI]: 1.24 to 2.00; p < 0.0005) with a model receiver-operating characteristic area of 0.69. PENK was associated with the degree of worsening renal function. Multivariable Cox regression models showed that PENK level was an independent predictor of 1-year mortality (p < 0.0005) and 1-year death and/or HF (hazard ratio: 1.27; 95% CI: 1.10 to 1.45; p = 0.001). PENK levels independently predicted outcomes at 3 or 6 months and were independent predictors of in-hospital mortality, predominantly down-classifying risk in survivors when added to clinical scores; levels <133.3 pmol/l and >211.3 pmol/l detected low-risk and high-risk patients, respectively. CONCLUSIONS: PENK levels reflect cardiorenal status in acute HF and are prognostic for worsening renal function and in-hospital mortality as well as mortality during follow-up.

Prognostic value of human mature adrenomedullin in patients with acute myocardial infarction.

Adrenomedullin (ADM) correlates with adverse cardiovascular outcomes in patients with acute myocardial infarction (AMI) and in patients with heart failure. Measurement of human mature ADM (mADM) has been difficult, and recent studies have used its surrogate - the mid-regional pro-ADM (MRproADM). Our objective was to determine whether mADM measured by a novel sandwich immunoassay, using the anti-C-terminal and an anti-mid-regional monoclonal antibody, was prognostic of 30-day, 90-day, 1-year, and 2-year major adverse cardiovascular events (MACEs) in 1111 consecutive patients who have suffered an AMI. We also compared it with the effect of MRproADM in the same patient population. A total of 311 (27.0%) patients experienced the primary endpoint at 2 years follow-up. The median (inter-quartile range) of mADM was significantly higher in patients who experienced a 2-year MACE [60.90 (44.00-86.97)] pg/ml, compared to event-free survivors [49.59 (36.20-68.15)] pg/ml (P < 0.001). mADM, taken as 1 SD of the continuous variable, was predictive of MACEs in multivariate analysis, with hazard ratios [95% confidence intervals (CIs)] at 90 days [1.28 (1.01-1.62)], 1 year [1.31 (1.08-1.59)], and 2 years [1.42 (1.07-1.64)]. It was also independently predictive of death at 1-year [1.52 (1.12-2.05)] and 2-year [1.42 (1.07-1.89)] follow-up. mADM was a better predictor of these outcomes than MRproADM, apart from death at 90 days, and combined death and heart failure hospitalization at 1 and 2 years, respectively. Human mADM can be reliably measured and predicts MACE events at medium-term follow-up, and confirms the paradigm of risk stratification using MRproADM - a surrogate for the active hormone. The relationship between mADM and MACE appears to be a continuum.

Growth hormone for risk stratification and effects of therapy in acute myocardial infarction.

CONTEXT: Excess growth hormone (GH) is associated with early mortality. OBJECTIVES: We assessed the association of GH with prognosis after acute myocardial infarction (AMI), and the effects of secondary prevention therapies. METHODS: GH was measured using a high-sensitivity assay in 953 AMI patients (687 males, mean age 66.1 ± 12.8 years). RESULTS: During 2 years follow-up, there were 281 major adverse cardiac events (MACE). Patients with MACE had higher GH levels (median [range], 0.91 [0.04-26.28] µg/L) compared to event-free survivors (0.59 [0.02-21.6], p < 0.0005). In multivariate Cox survival analysis, GH was a significant predictor of MACE (hazard ratios 1.43, p = 0.026 and 1.49, p = 0.01, respectively) with significant interactions with beta blocker therapy (p = 0.047) and angiotensin converting enzyme inhibitor or angiotensin receptor blocker (ACE/ARB) therapy (p = 0.016). CONCLUSIONS: GH levels post-AMI are prognostic for MACE and may indicate those patients who benefit from beta blocker and ACE/ARB therapy.

Pleiotropic effects of statins in hypercholesterolaemia: a prospective observational study using a lipoproteomic based approach.

BACKGROUND: The benefit of statins in the prevention of cardiovascular disease is well founded, derived from their lipid lowering and pleiotropic effects. The concept of lipoproteins as lipid transporters has evolved to encompass functions in coagulation, inflammation, and redox reactions due to their unique protein cargo. The aim of this study was to determine the effect of statin therapy on lipoproteins and their protein cargo by use of an unbiased bottom-up proteomics approach in people with hypercholesterolaemia. METHODS: 11 people fulfilling the inclusion criteria were recruited into this UK-based single centre prospective observational study. They were started on statins for primary prevention. Blood was withdrawn at baseline and after a minimum of 2 months of statin therapy. Plasma was co-incubated with a lipoaffinity resin. Isolated proteins were digested and analysed with label-free two-dimensional liquid chromatography coupled to electrospray high-definition ion mobility tandem mass spectrometry. FINDINGS: 218 proteins were identified with Progenesis QI software, with 33 proteins demonstrating significant differential expression between the pre-statin and the on-statin samples (each p<0·05). 17 proteins were upregulated by statin therapy, including proteins concerned with cytoskeletal organisation (vinculin p<0·0001, tropomyosin α4 p=0·0108), antioxidative (peroxiredoxin 2 p=0·0092), and anti-inflammatory effects (transgelin-2 p=0·0071). Apolipoprotein B100 was downregulated by statin therapy, consistent with it mechanism of action (p=0·0006). Statin therapy downregulated novel proteins concerned with the modulation of pancreatic ß-cell function (adipsin p=0·0056) and haemopoietic precursor proliferation (stem cell growth factor p<0·0001). INTERPRETATION: Our findings show that statins remodel the cytoskeletal architecture and mediate various anti-inflammatory, antioxidant, and antiproliferative effects that might limit endothelial dysfunction. The downregulation of adipsin, a novel adipokine that stimulates insulin secretion, could explain the controversial link between statin use and the development of diabetes. This study extends our understanding of the beneficial and harmful pleiotropic effects of statin therapy. FUNDING: British Heart Foundation.

Identification of novel biomarkers in plasma for prediction of treatment response in patients with heart failure.

BACKGROUND: Heart failure is a complex clinical syndrome that occurs at the end stage of heart disease. Despite advances in therapy for heart failure, improvement of clinical outcomes remains a challenge for physicians. The identification of treatment response early in the course of disease would be useful to improve management of these patients. The aim of this study was to identify novel biomarkers in plasma that could predict treatment response in patients with heart failure. METHODS: Patients with heart failure who met inclusion and exclusion criteria according to the guidelines of the European Society of Cardiology were recruited. Uptitration of angiotensin-converting enzyme inhibitors and ß blockers was performed over 6 months. Patients were followed up for clinical events within the next 24 months. Plasma proteins in patients who responded to standard treatment (responders) were compared with patients who died or were re-admitted for heart failure (non-responders). Plasma samples were depleted of 14 high abundance proteins with a multiple affinity removal system column (MARS). Then plasma samples were analysed on two-dimensional liquid chromatography coupled to a tandem mass spectrometry (2D LC-ESI-MS/MS) in high definition mode (HDMS(E)) to identify and quantify the different expression of proteins in plasma. Finally, ELISA was used to verify candidate biomarkers. FINDINGS: Participants were 100 patients with heart failure matched for sex and age (50 responders [25 women], 50 non-responders [25 women], mean age 76·6 years [SD 8·1]). Of the non-responders, 18 died and 32 were re-admitted to hospital. 2D LC-ESI-MS/MS showed that the expression of neurotrimin (NTM) was highly upregulated, by 26·5 times (p<0·0001), in the responder group compared with the non-responder group. ELISA in the verification phase showed that the concentrations of NTM in plasma were significantly higher in the responders and lower in the non-responders (mean 4·73 log10 relative light units [SD 0·07] vs 4·70 [0·08], p=0·036). When ANOVA with Bonferroni post-hoc comparisons was used in three outcome subgroups (responders, patients re-admitted to hospital, and deaths), NTM concentrations were significantly different between death and the other groups (higher in responder vs death group, p<0·0001; higher in re-admission vs death group, p=0·001). INTERPRETATION: Our findings suggest that NTM as a novel biomarker in heart failure will not only add information to understand the pathophysiological mechanisms of heart failure better, but also might provide a more accurate prediction of treatment response to guide medical therapy. In addition, a novel therapeutic target could be identified for design of drugs to improve outcomes. Futher work is required in larger populations to confirm this biomarker. FUNDING: European Union's Seventh Framework Programme (BIOSTAT-CHF), John and Lucille van Geest Foundation.

Pro-substance p for evaluation of risk in acute myocardial infarction.

BACKGROUND: Pro-substance P (ProSP) is a stable surrogate marker for labile substance P, which has pro-inflammatory effects, increases platelet aggregation and clot strength, and reduces fibrinolysis. OBJECTIVES: This study assessed whether ProSP was associated with poor prognosis after acute myocardial infarction (AMI) to identify novel pathophysiological mechanisms. METHODS: ProSP was measured in 1,148 AMI patients (825 men, mean age 66.2 ± 12.8 years). Endpoints were major adverse cardiac events (composite of death, reinfarction, and heart failure [HF] hospitalization), death/reinfarction, and death/HF. GRACE (Global Registry of Acute Coronary Events) scores were compared with ProSP for death and/or reinfarction at 6 months. RESULTS: During 2-year follow-up, there were 140 deaths, 112 HF hospitalizations, and 149 re-AMI. ProSP levels were highest on the first 2 days after admission and related to estimated glomerular filtration rate, age, history of diabetes, ischemic heart disease or hypertension, Killip class, left ventricular wall motion index, and sex. Multivariate Cox regression models showed ProSP level was a predictor of major adverse events (hazard ratio [HR]: 1.30; 95% confidence interval [CI]: 1.10 to 1.54; p < 0.002), death and/or AMI (HR: 1.42; 95% CI: 1.20 to 1.68; p < 0.0005), death and/or HF (HR: 1.38; 95% CI: 1.14 to 1.67; p < 0.001). ProSP levels with GRACE scores were independent predictors of 6-month death and/or reinfarction (p < 0.0005 for both). ProSP-adjusted GRACE scores reclassified patients significantly (overall category-free net reclassification improvement of 31.6 (95% CI: 14.3 to 49.0; p < 0.0005) mainly by down-classifying those without endpoints. CONCLUSIONS: ProSP levels post-AMI are prognostic for death, recurrent AMI, or HF, and they improve risk prediction of GRACE scores, predominantly by down-classifying risk in those without events.

Plasma cortisol and prognosis of patients with acute myocardial infarction.

AIMS: Cortisol is associated with increased cardiovascular morbidity and mortality in patients with chronic heart failure and in the general population. The negative predictive effect of cortisol on survival in non-diabetic patients who have suffered an acute myocardial infarction (AMI) has been shown. We aimed to determine the prognostic significance of cortisol in a general group of AMI patients, as this is not well known. METHODS: Plasma cortisol levels were measured in 955 consecutive patients admitted with AMI. We prospectively evaluated the relationship between cortisol and major adverse cardiovascular event (MACE), which was a composite of all-cause mortality, and combination all-cause mortality and re-hospitalization for heart failure, in post-AMI patients. RESULTS: During the 2-year follow-up, MACE occurred in 261 patients (27.3%). Patients with MACE had significantly higher median levels of cortisol than those without (609.4 versus 549.4 pmol/ml, P = 0.0073). Log cortisol was independently predictive of MACE after adjusting for covariates with hazard ratio (95% confidence interval) of 1.55 (1.05-2.27), P = 0.027. Patients in the highest quartile of cortisol had significantly more risk of MACE compared with those in the lowest quartile, with an adjusted hazard ratio (95% confidence interval) of 1.91(1.16-3.15), P = 0.0120. Kaplan-Meier survival estimates for MACE were lower in patients with plasma cortisol levels in the highest quartile compared with those in the first three quartiles (Log rank test χ² for survival = 10.41, P = 0.0013). CONCLUSION: This study has shown the prognostic significance of cortisol in 955 post-AMI patients from a single centre.

Proenkephalin and prognosis after acute myocardial infarction.

OBJECTIVES: The goal of this research was to assess the prognostic value of proenkephalin (PENK) levels in acute myocardial infarction (AMI) by using N-terminal pro-B-type natriuretic peptide and Global Registry of Acute Coronary Events (GRACE) scores as comparators and to identify levels that might be valuable in clinical decision making. BACKGROUND: PENK is a stable analyte of labile enkephalins. Few biomarkers predict recurrent AMI. METHODS: We measured PENK in 1,141 patients (820 male subjects; mean age 66.2 ± 12.8 years) with AMI. Endpoints were major adverse events (composite of death, myocardial infarction [MI], and heart failure [HF] hospitalization) and recurrent MI at 2 years. GRACE scoring was used for comparisons with PENK for the death and/or MI endpoint at 6 months. RESULTS: During follow-up, 139 patients died, and there were 112 HF hospitalizations and 149 recurrent AMIs. PENK levels were highest on admission and were related to estimated glomerular filtration rate, left ventricular wall motion index, sex, blood pressure, and age. Multivariable Cox regression models found that the PENK level was a predictor of major adverse events (hazard ratio [HR]: 1.52 [95% confidence interval (CI): 1.19 to 1.94]), death and/or AMI (HR: 1.76 [95% CI: 1.34 to 2.30]), and death and/or HF (HR: 1.67 [95% CI: 1.24 to 2.25]) (all comparisons p < 0.001), as well as recurrent AMI (HR: 1.43 [95% CI: 1.07 to 1.91]; p < 0.01). PENK levels were independent predictors of 6-month death and/or MI compared with GRACE scores. PENK-adjusted GRACE scores reclassified patients significantly (overall category-free net reclassification improvement [>0] of 21.9 [95% CI: 4.5 to 39.4]; p < 0.014). PENK levels <48.3 pmol/l and >91 pmol/l detected low- and high-risk patients, respectively. CONCLUSIONS: PENK levels reflect cardiorenal status post-AMI and are prognostic for death, recurrent AMI, or HF. Cutoff values define low- and high-risk groups and improve risk prediction of GRACE scores.

Pre-discharge risk stratification in unselected STEMI: is there a role for ST2 or its natural ligand IL-33 when compared with contemporary risk markers?

BACKGROUND: Soluble ST2 is a marker of cellular stress and injury whose natural ligand is interleukin-33. We investigate, for the first time, the relationship of IL-33 and ST2 with death at 30-days, 1-year and beyond in unselected STEMI patients. We assess the incremental value they offer over GRACE score and NT-proBNP. Secondary endpoints were heart failure readmission and re-infarction. METHODS: ST2 and IL-33 were measured in 677 patients 3-5 days after admission. Median follow-up was 587 (134-2818) days during which 101 (15%) patients died. RESULTS: ST2 was higher in those who died when compared to event-free survivors (median [range] 1125 [123-15781] vs. 630 [59-11729] pg/ml, p<0.001) as was IL-33 (75 [5.4-17893] vs. 5.4 [5.4-16466] pg/mL, p=0.006). Multivariate Cox regression analysis reveals that elevated ST2 is associated with increased risk of mortality at 30-days (HR 9.34, p<0.001) and 1-year (HR 3.15, p=0.001). These relationships continued after further adjustment for GRACE-RS and NT-proBNP. Combining ST2 (c-statistic 0.82, p<0.001), GRACE-RS (0.82, p<0.001) and NT-proBNP (0.84, p<0.001) leads to a significant improvement in the c-statistic for 30-day mortality to 0.90 (p=0.01). IL-33 above 5.4 pg/ml was independently associated with increased mortality at 30-days (HR 4.16, p=0.007) and 1-year (HR 2.29, p=0.008) but, did not add incremental prognostic value over using GRACE-RS and NT-proBNP. The ratio IL-33/ST2 was not associated with events. CONCLUSIONS: Elevated ST2 and IL-33 were both associated with increased mortality. ST2 demonstrated incremental value over contemporary risk markers but, IL-33 did not. ST2 has a potential role in risk stratification using a multi-marker approach.

Protein Kinase C Epsilon Contributes to NADPH Oxidase Activation in a Pre-Eclampsia Lymphoblast Cell Model.

Pre-eclampsia is a pregnancy-specific disorder characterised by hypertension and proteinuria, which in severe cases results in multi-system disturbances. The maternal syndrome is associated with a pro-inflammatory state, consisting of leukocyte activation, which is thought to contribute to the widespread endothelial dysfunction. We previously showed increased activation of NADPH oxidase in pre-eclampsia, in both neutrophils and B-lymphoblast cell lines (B-LCLs). In this study, the mechanism by which NADPH oxidase activity is increased in pre-eclampsia was further investigated. NADPH oxidase activity was found to be increased in phorbol-12-myristate-13-acetate (PMA) stimulated B-LCLs isolated from women with pre-eclampsia. This correlated with an increase in protein kinase C (PKC) substrate phosphorylation, p47-phox phosphorylation (a regulatory component of NADPH oxidase) and p47-phox directed-kinase activity. Using ion exchange and hydroxyapatite chromatography we identified a major peak of PMA regulated p47-phox kinase activity. Chromatography fractions were probed for PKC isoforms. We found the major peak of p47-phox kinase activity could not be separated from the elution profile of PKC epsilon. Using a peptide inhibitor of PKC epsilon, PMA-induced reactive oxygen species (ROS) production could be reduced to that of a normal B-LCL. These data suggest a pro-inflammatory role for PKC epsilon in the pathogenesis of pre-eclampsia.

Aldosterone predicts major adverse cardiovascular events in patients with acute myocardial infarction.

OBJECTIVE: Aldosterone is associated with increased mortality in chronic heart failure patients and correlates with adverse outcomes after an acute myocardial infarction (AMI) in smaller cohorts. We evaluated the prognostic significance of plasma aldosterone in a large cohort of post-AMI patients in relation to major adverse cardiovascular events (MACE). DESIGN: A prospective cohort study. SETTING: University Hospitals of Leicester, UK. PATIENTS: Consecutive 955 patients admitted with AMI. Plasma aldosterone levels were measured in these patients. MAIN OUTCOME MEASURES: During the 2 years follow-up, MACE which was a composite of all-cause mortality, myocardial reinfarction, and hospitalisation for heart failure as well as secondary endpoints (all-cause mortality and a combination of all-cause mortality and hospitalisation for heart failure), were ascertained. RESULTS: MACE occured in N=261, 27.3%, all-cause mortality (N=114, 11.9%) and a combination of all-cause mortality and hospitalisation for heart failure (N=176, 18.4%). Patients with MACE had significantly higher median levels of aldosterone than those without (1150.1 vs 950.4 pmol/l, p=0.0118). The multivariate adjusted HR (95% CI) for log aldosterone on MACE was 1.26 (1.01 to 1.56), p=0.041; all-cause mortality 1.60 (1.13 to 2.27), p=0.008; and combination of all-cause mortality and heart failure 1.50 (1.14 to 1.97), p=0.003. CONCLUSIONS: The prognostic significance of aldosterone for a variety of endpoints in this large cohort of post-AMI patients is not new and adds to the findings by others. The magnitude of the increase in aldosterone secretion post infarction is higher than previously believed.

Interleukin 33 and ST2 in non-ST-elevation myocardial infarction: comparison with Global Registry of Acute Coronary Events Risk Scoring and NT-proBNP.

BACKGROUND: Soluble ST2 is a marker of biomechanical strain for which the natural ligand is interleukin 33 (IL-33). They have not been studied together in non-ST-elevation myocardial infarction (NSTEMI). We investigated their relationship with death, heart failure (HF) readmission, and reinfarction combined (termed major adverse cardiac events [MACE]) and, separately, in unselected patients using Global Registry of Acute Coronary Events Risk Scoring (GRACE-RS) and n terminal pro B type natriuretic peptide (NT-proBNP) as benchmark comparators. METHODS: ST2 and IL-33 were measured in 577 patients 3 to 5 days after admission. Mean follow-up was 532 (150-1059) days, during which 156 patients (27%) reached the primary end point. RESULTS: ST2 was higher in those who experienced MACE when compared with event-free survivors (median 782 pg/mL vs 596, P < .001), but there was no difference in IL-33 levels across any end point. Multivariate Cox regression analysis reveals that elevated ST2 is independently associated with increased risk of MACE during the long term (hazard ratio [HR] 2.01, P = .005). This relationship continues on further adjustment for either GRACE risk score or NT-proBNP individually but not on adjustment for both. ST2 also independently predicts reinfarction (HR 2.48, P = .03) and 30-day mortality (HR 4.43, P = .02, c-statistic 0.73, P < .001). Adding ST2 to GRACE or to NT-proBNP did not lead to significant improvements in the c-statistic for MACE for long-term follow-up (P = .27 and P = .57, respectively) or the net reclassification index. Neither IL-33 nor its ratio with ST2 was associated with study end points. CONCLUSIONS: Elevated ST2 predicts adverse outcome in non-ST-elevation myocardial infarction but does not significantly improve risk stratification for established markers. Interleukin 33 was not related to adverse events.

Proteinase 3 and prognosis of patients with acute myocardial infarction.

A multimarker approach may be useful for risk stratification in AMI (acute myocardial infarction) patients, particularly utilizing pathways that are pathophysiologically distinct. Our aim was to assess the prognostic value of PR3 (proteinase 3) in patients post-AMI. We compared the prognostic value of PR3, an inflammatory marker, with an established marker NT-proBNP (N-terminal pro-B-type natriuretic peptide) post-AMI. We recruited 900 consecutive post-AMI patients (700 men; age, 64.6±12.4 years) in a prospective study with follow-up over 347 (0-764) days. Plasma PR3 was significantly higher in patients who died [666.2 (226.8-4035.5) ng/ml; P<0.001] or were readmitted with heart failure [598 (231.6-1803.9) ng/ml, P<0.004] compared with event-free survivors [486.9 (29.3-3118.2) ng/ml]. Using Cox modelling, log10 PR3 [HR (hazard ratio), 3.80] and log10 NT-proBNP (HR, 2.51) were significant independent predictors of death or heart failure. When patients were stratified by plasma NT-proBNP (median, 1023 pmol/l), PR3 gave additional predictive value for death or heart failure, in both the patients in whom NT-proBNP level was above the median (log rank for trend, 12.54; P<0.0004) and those with NT-proBNP level below the median (log rank for trend, 3.83; P<0.05). Neither marker predicted recurrent AMI. In conclusion, this is the first report showing a potential role for the serine protease PR3 in determining mortality and incidence of heart failure following AMI, independent of established conventional risk factors. PR3 may represent a clinically useful marker of prognosis after an AMI as part of a multimarker strategy.

Usefulness of plasma tissue inhibitors of metalloproteinases as markers of prognosis after acute myocardial infarction.

Alterations in the balance of matrix metalloproteinase to tissue inhibitor of metalloproteinase (TIMP) are seen after acute myocardial infarction (AMI) and are associated with adverse left ventricular remodeling and prognosis in this setting. We aimed to investigate the association between TIMP levels and the occurrence of major adverse cardiac events (MACEs) after AMI. We measured plasma TIMP-1, -2, and -4 levels in 1,313 patients presenting with AMI. Subjects were followed over a median period of 520 days for the occurrence of MACEs. Clinical risk was assessed using the Global Registry of Acute Coronary Events (GRACE) score. All TIMP levels correlated with patient age and inversely with estimated glomerular filtration rate (all p values <0.001). Levels were higher in women versus men (p <0.001) and in subjects with a history of diabetes (TIMP-1, p <0.001; TIMP-2, p = 0.002; TIMP-4, p <0.001) or hypertension (TIMP-1, p = 0.031; TIMP-2, p <0.001; TIMP-4, p <0.001). TIMP-1 and TIMP-4 were higher in subjects with previous MI or angina (p <0.001). TIMP levels increased incrementally with quartiles of GRACE score (p <0.001). All TIMPs showed univariate association with the occurrence of MACEs (p <0.001). Areas under the receiver operator characteristic curve for prediction of MACE at 1 year were 0.61 for TIMP-1, 0.57 for TIMP-2, and 0.64 for TIMP-4. Combination of TIMPs with GRACE risk score revealed a greater area under the curve than GRACE score alone (0.72 vs 0.69, p = 0.0015). On multivariable Cox proportional hazards analysis, GRACE score (p <0.001) and plasma TIMPs (log TIMP-1, p = 0.017; log TIMP-2, p <0.001; log TIMP-4, p = 0.011) independently predicted MACEs. Using Kaplan-Meier analysis, the risk of MACEs increased incrementally with the number of TIMPs above their respective median (p <0.001 for all comparisons, log-rank test). In conclusion, higher plasma TIMP-1, -2, and -4 after AMI are associated with MACEs and provide additional prognostic information to that obtained from GRACE clinical risk scores alone.