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We examined several novel biomarkers of different pathophysiologic pathways as predictors of cardiovascular mortality in participants enrolled in the Minnesota Heart Survey (MHS), a population-based study of cardiovascular disease (CVD) risk factors.

In a nested case-control study within MHS, 7 biomarkers were assayed in serum samples from 211 patients identified after 8–15 years of follow-up who died of cardiovascular causes (cardiovascular heart disease, stroke, congestive heart failure) and 253 controls matched on age, sex, and study year. Logistic regression analysis, adjusted for age, race, sex, education, study year, smoking, abdominal obesity, diabetes, serum total cholesterol, systolic blood pressure, previous hospitalization for a CVD event, and other significant biomarkers, was used to evaluate the relations of biomarkers relative to the odds of CVD mortality.

Cases survived a median of 7.2 years after enrollment. Increased N-terminal pro-B type natriuretic peptide (NT-proBNP) (19% vs 4.3%), increased high-sensitivity C-reactive protein (hs-CRP) (71% vs 51%), and increased high-sensitivity cardiac troponin I (hs-cTnI) (8.7% vs 1.0%) were more common among cases than among controls (all P < 0.001 in unadjusted analyses). The adjusted odds of death were greater among cases compared to controls for increased NT-proBNP [odds ratio (OR) 5.67, 95% CI 2.17–15], hs-CRP (OR 1.73, 95% CI 1.03–2.89), and hs-cTnI (OR 8.53, 95% CI 1.68–43), and decreased ST2 (OR 1.92, 95% CI 1.05–3.48).

When measured by an hs-cTnI assay, cTnI is a key biomarker associated with increased cardiovascular death in a community sample when evaluated in a multiple biomarker analysis.

New biomarkers are needed to assist clinical decision making in cardiovascular disease. We have recently shown that signal peptides may represent a novel biomarker target in cardiovascular diseases.

We developed a novel immunoassay for the signal peptide of preproANP (ANPsp) and used it to document cardiac tissue levels of ANPsp in explant human hearts (n = 9), circulating venous concentrations of ANPsp in healthy volunteers (n = 65), temporal ANPsp concentrations in patients with ST-elevation myocardial infarction (STEMI) <4 h after chest pain onset (n = 23), and regional plasma ANPsp concentrations in patients undergoing clinically indicated catheterization (n = 10). We analyzed the structure and sequence of circulating ANPsp by tandem mass spectrometry (MS/MS).

ANPsp levels in human heart tissue were 50–1000 times lower than those of ANP/NT-proANP. ANPsp was detectable in control human plasma at concentrations comparable with ANP itself (approximately 20 ng/L). In STEMI patients, plasma concentrations of ANPsp rose to peak values at 5 h after symptom onset, significantly earlier than myoglobin, creatine kinase-MB, and troponin (P < 0.001). There were significant arteriovenous increases in ANPsp concentrations (P < 0.05) across the heart and kidney; arterial and coronary sinus concentrations of ANPsp both negatively correlated with systolic and mean arterial blood pressures (both P < 0.01). MS/MS verified circulating ANPsp to be preproANP(16–25) and preproANP(18–25).

ANPsp is a novel circulating natriuretic peptide with potential to act as a cardiovascular biomarker. The rapid increase of plasma ANPsp in STEMI and its significant relationship with blood pressure encourage further study of its potential clinical utility.

Mass spectrometric assays could potentially replace protein immunoassays in many applications. Previous studies have demonstrated the utility of liquid chromatography–multiple-reaction monitoring–mass spectrometry (LC-MRM/MS) for the quantification of proteins in biological samples, and many examples of the accuracy of these approaches to quantify supplemented analytes have been reported. However, a direct comparison of multiplexed assays that use LC-MRM/MS with established immunoassays to measure endogenous proteins has not been reported.

We purified HDL from the plasma of 30 human donors and used label-free shotgun proteomics approaches to analyze each sample. We then developed 2 different isotope-dilution LC-MRM/MS 6-plex assays (for apoliporoteins A-I, C-II, C-III, E, B, and J): 1 assay used stable isotope-labeled peptides and the other used stable isotope-labeled apolipoprotein A-I (an abundant HDL protein) as an internal standard to control for matrix effects and mass spectrometer performance. The shotgun and LC-MRM/MS assays were then compared with commercially available immunoassays for each of the 6 analytes.

Relative quantification by shotgun proteomics approaches correlated poorly with the 6 protein immunoassays. In contrast, the isotope dilution LC-MRM/MS approaches showed correlations with immunoassays of r = 0.61–0.96. The LC-MRM/MS approaches had acceptable reproducibility (<13% CV) and linearity (r ≥0.99). Strikingly, a single protein internal standard applied to all proteins performed as well as multiple protein-specific peptide internal standards.

Because peak area ratios measured in multiplexed LC-MRM/MS assays correlate well with immunochemical measurements and have acceptable operating characteristics, we propose that LC-MRM/MS could be used to replace immunoassays in a variety of settings.

Current approaches to measure protein turnover that use stable isotope-labeled tracers via GC-MS are limited to a small number of relatively abundant proteins. We developed a multiplexed liquid chromatography–selected reaction monitoring mass spectrometry (LC-SRM) assay to measure protein turnover and compared the fractional synthetic rates (FSRs) for 2 proteins, VLDL apolipoprotein B100 (VLDL apoB100) and HDL apoA-I, measured by both methods. We applied this technique to other proteins for which kinetics are not readily measured with GC-MS.

Subjects were given a primed-constant infusion of [5,5,5-D₃]-leucine (D₃-leucine) for 15 h with blood samples collected at selected time points. Apolipoproteins isolated by SDS-PAGE from lipoprotein fractions were analyzed by GC-MS or an LC-SRM assay designed to measure the M+3/M+0 ratio at >1% D₃-leucine incorporation. We calculated the FSR for each apolipoprotein by curve fitting the tracer incorporation data from each subject.

The LC-SRM method was linear over the range of tracer enrichment values tested and highly correlated with GC-MS (R² > 0.9). The FSRs determined from both methods were similar for HDL apoA-I and VLDL apoB100. We were able to apply the LC-SRM approach to determine the tracer enrichment of multiple proteins from a single sample as well as proteins isolated from plasma after immunoprecipitation.

The LC-SRM method provides a new technique for measuring the enrichment of proteins labeled with stable isotopes. LC-SRM is amenable to a multiplexed format to provide a relatively rapid and inexpensive means to measure turnover of multiple proteins simultaneously.

Technological advances have resulted in a renaissance of proteomic studies directed at finding markers of disease progression, diagnosis, or responsiveness to therapy. Renal diseases are ideally suited for such research, given that urine is an easily accessible biofluid and its protein content is derived mainly from the kidney. Current renal prognostic markers have limited value, and renal biopsy remains the sole method for establishing a diagnosis. Mass spectrometry instruments, which can detect thousands of proteins at nanomolar (or even femtomolar) concentrations, may be expected to allow the discovery of improved markers of progression, diagnosis, or treatment responsiveness.

In this review we describe the strengths and limitations of proteomic methods and the drawbacks of existing biomarkers, and provide an overview of opportunities in the field. We also highlight several proteomic studies of biomarkers of renal diseases selected from the plethora of studies performed.

It is clear that the field of proteomics has not yet fulfilled its promise. However, ongoing efforts to standardize sample collection and preparation, improve study designs, perform multicenter validations, and create joint industry–regulatory bodies offer promise for the recognition of novel molecules that could change clinical nephrology forever.

We recently developed a novel, noninvasive method for sampling nonvolatile material from the distal airways. The method is based on the collection of endogenous particles in exhaled air (PEx). The aim of this study was to characterize the protein composition of PEx and to verify that the origin of PEx is respiratory tract lining fluid (RTLF).

Healthy individuals exhaled into the sampling device, which collected PEx onto a silicon plate inside a 3-stage impactor. After their extraction from the plates, PEx proteins were separated by SDS-PAGE and then analyzed by LC-MS. Proteins were identified by searching the International Protein Index human database with the Mascot search engine.

Analysis of the pooled samples identified 124 proteins. A comparison of the identified PEx proteins with published bronchoalveolar lavage (BAL) proteomic data showed a high degree of overlap, with 103 (83%) of the PEx proteins having previously been detected in BAL. The relative abundances of the proteins were estimated according to the Mascot exponentially modified protein abundance index protocol and were in agreement with the expected protein composition of RTLF. No amylase was detected, indicating the absence of saliva protein contamination with our sampling technique.

Our data strongly support that PEx originate from RTLF and reflect the composition of undiluted RTLF.

Growth differentiation factor-15 (GDF-15) is a stress-responsive marker that might aid in the early diagnosis and risk stratification of patients with suspected acute myocardial infarction (AMI).

In a prospective, international multicenter study, GDF-15, high-sensitivity cardiac troponin T (hs-cTnT), and B-type natriuretic peptide (BNP) were measured in 646 unselected patients presenting to the emergency department with acute chest pain. The final diagnosis was adjudicated by 2 independent cardiologists. The primary prognostic end point was all-cause mortality during a median follow-up of 26 months.

AMI was the adjudicated final diagnosis in 115 patients (18%). GDF-15 concentrations at presentation were significantly higher in AMI patients compared to patients with other diagnoses. The diagnostic accuracy of GDF-15 at presentation for the diagnosis of AMI as quantified by the area under the ROC curve (AUC) was lower (AUC 0.69, 95% CI 0.64–0.74) compared to hs-cTnT (AUC 0.96, 95% CI 0.94–0.98, P < 0.001) and BNP (AUC 0.74, 95% CI 0.69–0.80, P = 0.02). A total of 55 deaths occurred during follow-up. GDF-15 predicted all-cause mortality independently of and more accurately than hs-cTnT [AUC 0.85 (95% CI 0.81–0.90) vs 0.77 (95% CI 0.72–0.83), P = 0.002] and BNP (AUC 0.75, 95% CI 0.68–0.82, P = 0.007). Net reclassification improvement was 0.15 (P = 0.01), and the absolute integrated discrimination improvement was 0.07, yielding a relative integrated discrimination improvement of 0.36 (P = 0.07).

GDF-15 predicts all-cause mortality in unselected patients with acute chest pain independently of and more accurately than hs-cTnT and BNP. However, GDF-15 does not seem to help in the early diagnosis of AMI.

We evaluated kinetic changes of high-sensitivity cardiac troponin T (hs-cTnT) in patients with acute coronary syndrome (ACS) and patients with hs-cTnT increases not due to ACS to rule in or rule out non–ST-segment elevation myocardial infarction (STEMI).

hs-cTnT was measured serially in consecutive patients presenting to the emergency department. Patients with ACS who had at least 2 hs-cTnT measurements within 6 h and non-ACS patients with hs-cTnT concentrations above the 99th percentile value (14 ng/L) were enrolled to compare absolute and relative kinetic changes of hs-cTnT.

For discrimination of non-STEMI (n = 165) in the entire study population (n = 784), the absolute change with the ROC-optimized value of 9.2 ng/L yielded an area under the curve of 0.898 and was superior to all relative changes (P < 0.0001). The positive predictive value for the absolute change was 48.7%, whereas the negative predictive value was 96.5%. In a specific ACS population with exclusion of STEMI (n = 342), the absolute change with the ROC-optimized value of 6.9 ng/L yielded a positive predictive value of 82.8% and a negative predictive value of 93.0%. In comparison to the ≥20% relative change, the ROC-optimized absolute change demonstrated a significantly added value for the entire study population and for the ACS cohort (net reclassification index 0.331 and 0.499, P < 0.0001).

Absolute changes appear superior to relative changes in discriminating non-STEMI. A rise or fall of at least 9.2 ng/L in the entire study population and 6.9 ng/L in selected ACS patients seems adequate to rule-out non-STEMI. However, -values are useful to rule-in non-STEMI only in a specific ACS population.

We sought to determine the effect of patient selection on the 99th reference percentile of 2 sensitive and 1 high-sensitivity (hs) cardiac troponin assays in a well-defined reference population.

Individuals >45 years old were randomly selected from 7 representative local community practices. Detailed information regarding the participants was collected via questionnaires. The healthy reference population was defined as individuals who had no history of vascular disease, hypertension, or heavy alcohol intake; were not receiving cardiac medication; and had blood pressure <140/90 mmHg, fasting blood glucose <110 mg/dL (approximately 6 mmol/L), estimated creatinine clearance >60 mL · min^–1 · (1.73 m²)^–1, and normal cardiac function according to results of echocardiography. Samples were stored at –70 °C until analysis for cardiac troponin I (cTnI) and cardiac troponin T (cTnT) and N-terminal pro-B–type natriuretic peptide.

Application of progressively more stringent population selection strategies to the initial baseline population of 545 participants until the only individuals who remained were completely healthy according to the study criteria reduced the number of outliers seen and led to a progressive decrease in the 99th-percentile value obtained for the Roche hs-cTnT assay and the sensitive Beckman cTnI assay but not for the sensitive Siemens Ultra cTnI assay. Furthermore, a sex difference found in the baseline population for the hs-cTnT (P = 0.0018) and Beckman cTnI assays (P < 0.0001) progressively decreased with more stringent population selection criteria.

The reference population selection strategy significantly influenced the 99th percentile reference values determined for troponin assays and the observed sex differences in troponin concentrations.

Midregional proadrenomedullin (MR-proADM) is a newly identified prognostic marker in heart failure. We evaluated the prognostic impact of MR-proADM in a cohort of patients with symptomatic coronary artery disease according to their clinical presentation.

We measured baseline MR-proADM concentrations in 2240 individuals from the prospective AtheroGene study and evaluated the prognostic impact on future fatal and nonfatal cardiovascular events during a follow-up period of 3.6 (1.6) years.

The sample comprised 1355 individuals with stable angina pectoris (SAP) and 885 with acute coronary syndrome (ACS). A cardiovascular event occurred in 192 people. Individuals presenting with SAP had only slightly lower plasma MR-proADM concentrations than those with ACS (0.53 vs 0.55 nmol/L, P = 0.006). MR-proADM showed a moderate association with age, serum N-terminal pro–B-type natriuretic peptide (NT-proBNP), glomerular filtration rate, serum C-reactive protein, hypertension, diabetes, and prevalent multivessel disease (all P < 0.0005). Individuals suffering from a cardiovascular event had higher MR-proADM concentrations at baseline in both groups (SAP 0.63 vs 0.53 nmol/L and ACS 0.65 nmol/L vs 0.55 nmol/L, both P < 0.0005). Cox regression analysis incorporating various variables of cardiovascular risk and NT-proBNP revealed a hazard ratio of 1.4 (95% CI 1.2–1.6; P < 0.0005) per increment of MR-proADM by 1SD. In risk models for secondary prevention, MR-proADM provided information comparable to that of NT-proBNP.

MR-proADM is an independent predictor for future cardiovascular events in patients with symptomatic coronary artery disease, providing information comparable to NT-proBNP for secondary risk stratification.