| Literature DB >> 28491088 |
Juan Wang1, Guo-Juan Tan2, Li-Na Han1, Yong-Yi Bai1, Miao He3, Hong-Bin Liu1.
Abstract
Cardiovascular disease (CVD) is the leading cause of death and disability worldwide. The primary prevention of CVD is dependent upon the ability to identify high-risk individuals long before the development of overt events. This highlights the need for accurate risk stratification. An increasing number of novel biomarkers have been identified to predict cardiovascular events. Biomarkers play a critical role in the definition, prognostication, and decision-making regarding the management of cardiovascular events. This review focuses on a variety of promising biomarkers that provide diagnostic and prognostic information. The myocardial tissue-specific biomarker cardiac troponin, high-sensitivity assays for cardiac troponin, and heart-type fatty acid binding proteinall help diagnose myocardial infarction (MI) in the early hours following symptoms. Inflammatory markers such as growth differentiation factor-15, high-sensitivity C-reactive protein, fibrinogen, and uric acid predict MI and death. Pregnancy-associated plasma protein A, myeloperoxidase, and matrix metalloproteinases predict the risk of acute coronary syndrome. Lipoprotein-associated phospholipase A2 and secretory phospholipase A2 predict incident and recurrent cardiovascular events. Finally, elevated natriuretic peptides, ST2, endothelin-1, mid-regional-pro-adrenomedullin, copeptin, and galectin-3 have all been well validated to predict death and heart failure following a MI and provide risk stratification information for heart failure. Rapidly developing new areas, such as assessment of micro-RNA, are also explored. All the biomarkers reflect different aspects of the development of atherosclerosis.Entities:
Keywords: Biomarker; Cardiovascular disease; Prediction; Risk stratification
Year: 2017 PMID: 28491088 PMCID: PMC5409355 DOI: 10.11909/j.issn.1671-5411.2017.02.008
Source DB: PubMed Journal: J Geriatr Cardiol ISSN: 1671-5411 Impact factor: 3.327
Biomarkers related to various pathophysiological processes associated with cardiovascular disease.
| Biomarker | Overview |
| Myocardial necrosis | |
| cTn | Clinical studies support the relationship with CVD and AMI. A dynamic elevation of cardiac troponin above the 99th percentile of healthy individuals indicates AMI. However, conventional cTn assays is their low sensitivity at the time of AMI presentation. |
| hs-cTn | Several large multicenter studies have consistently shown hs-cTn assay increase the accuracy of AMI diagnosis, and it might be an excellent tool for risk stratification. |
| H-FABP | Data has shown that H-FABP is either superior to or adds incremental value to cTn in the early diagnosis of ACS. H-FABP could be a useful indicator for the early identification of high risk patients. |
| Inflammation | |
| HsCRP | Studies have confirmed an association of CRP and cardiovascular events independent of other cardiovascular risk factors. HsCRP that detects lower levels of CRP (< 5mg/L) could help detect high risk patients more early and accurately. However, the causal association is unknown. |
| GDF-15 | Studies have shown that GDF-15 is a strong predictor of cardiovascular events and all cause death. Clinical trials suggest that GDF-15 is a potential tool for risk stratification. |
| Fibrinogen | Prospective studies support that elevated fibrinogen levels are associated with an increased risk of incident CVD. ESC guidelines allow fibrinogen measurement as a part of the risk assessment in patients with an unusual or moderate cardiovascular risk |
| UA | Recent studies have shown an independent positive association between UA and cardiovascular mortality. However, there is still conflicting evidence for the results. |
| Plaque instability | |
| PAPP-A | Observational studies suggests that circulating PAPP-A is a promising biomarker for risk stratification of ACS. |
| MPO | Prospective and cross-sectional studies addressed the role of MPO as a circulating inflammatory marker in CVD. However, its routine measurement is not recommended in clinical settings |
| MMPs | Studies have shown MMP-2, MMP-8, and MMP-9 have been recognized as proteases that contribute to plaque rupture and clinical events |
| Platelet activation | |
| Lp-PLA2 | Although elevated Lp-PLA2 levels have been shown to be associated with an increased cardiovascular risk independent of other covariates, the overall incremental clinical utility of this biomarker remains unclear. |
| sPLA2 | Observational studies have indicated that higher circulating sPLA2-IIA and sPLA2 levels are associated with an increased risk of cardiovascular events. However the clinical value is not clear. |
| sCD40L | Perspective studies have reported the prognostic value of sCD40L for detecting cardiovascular events. However, the results of some investigations are controversial. |
| Neurohormonal activation | |
| Copeptin | Studies have shown that copeptin could predict CAD development and cardiovascular mortality, while whether the heart contributes to its release is unknown. |
| MR-proADM | Studies showed that MR-proADM is a promising biomarker for risk prediction in patients with HF and for early atherosclerotic plaque development and subclinical CAD. |
| Myocardial stress | |
| NPs | In the current European guidelines, the NT-proBNP and MR-proANP are regarded as equal for the diagnosis of HF |
| ST2 | The studies have confirmed the role of ST2 in cardiovascular risk stratification. |
| ET-1 | Studies have shown CT-proET-1 was associated with cardiovascular death and HF independent of clinical variables. |
| Gal-3 | Gal-3 was approved by FDA in 2010 as a new biomarker in the risk stratification of HF. |
| NRG-1 | Studies have shown higher NRG-1 levels correlated with HF and CAD. However its use in clinical set as a risk factor needs further studies. |
| MicroRNAs | Several cardiac miRNAs are increased early after MI. However, their detection techniques are time consuming and their clinical benefits beside current diagnostic tools remain unclear. |
ACS: acute coronary syndrome; AMI: acute myocardial infarction; CAD: coronary artery disease CVD: cardiovascular disease; cTn: cardiac troponin; ET-1: Endothelin-1; H-FABP: heart-type fatty acid binding protein; hs-cTn: high-sensitivity cardiac troponin; hsCRP: high-sensitivity C-reactive Protein; Gal3: galectin-3; GDF-15: growth-differentiation factor-15; Lp-PLA2: lipoprotein-associated phospholipase A2; miRNAs: microRNAs; MMPs: matrix metalloproteinases; MPO: myeloperoxidase; MR-proADM: mid-regional-pro-adrenomedullin; NPs: natriuretic peptides; NRG-1: Neuregulin-1; PAPP-A: pregnancy-associated plasma protein-A; sCD40L: soluble CD40 ligand; sPLA2: secretory phospholipase A2; UA: uric acid.
Studies using GDF-15 for cardiovascular risk stratification.
| Study population | Endpoint | Thresholds | Hazard ratio | ||||||
| ALPS-AMI | 430 | All-cause death, MI, stroke, or hospitalization due to congestive HF | < 1221 ng/L, ≥ 1221 ng/L | 1.001 | |||||
| PLATO trial | 16,876 | Cardiovascular death, spontaneous MI, and stroke | Quartile (< 1145 ng/L,1145–1550 ng/L,1550–2219 ng/L,> 2219 ng/L) | 1.4 | |||||
| IABP-SHOCK II | 600 | All-cause mortality | Median | 1.88 | |||||
| Suspected AMI | 1247 | All-cause death, AMI | < 1200 ng/L,1200–1800 ng/L, > 1800 ng/L | 19.2, 20.1 | |||||
| NSTE-ACS | 1146 | Deaths and nonfatal MI | Median | 2.4 | |||||
| AtheroGene | 1781 | Nonfatal MI, cardiovascular mortality | ≥ 1499 ng/L | 2.81, 2.67 | |||||
| PIVUS study | 1016 | All-cause mortality | Median (1242 ng/L) | 1.68 | |||||
ACS: acute coronary syndrome; AMI: acute myocardial infarction; HF: heart failure; MI: myocardial infarction.
Studies using ST-2 for cardiovascular risk stratification.
| Studies | Endpoint | Thresholds | Hazard ratio | |
| ACS | 373 | All-cause mortality | 5–538 pg/mL,539–3618 pg/mL | 2.1,2.2 |
| NSTE-ACS | 4432 | Cardiovascular death, HF, MI, recurrent ischemia | < 35 ng/mL, ≥ 35 ng/mL | 2.08,1.19 |
| MERLIN-TIMI 36 Trial | 6560 | Cardiovascular death, HF | > 35 µg/L | 1.9 |
| STEMI | 677 | All-cause mortality at 30 days and 1 year | Median | 9.34,3.15 |
| LURIC study | 1345 | All-cause mortality | > 24.6 ng/mL | 1.39 |
| AHF | 107 | All-cause mortality | > 65 ng/mL | 1.09 |
| AHF | 5306 | All-cause mortality | Median | 10.3 |
| CHF | 876 | All-cause and cardiovascular mortality | Quartile (< 30.9 ng/mL, 31−38.3 ng/mL, 38.4−51.1 ng/mL, > 51.1 ng/mL) | 1.45,1.55 |
ACS: acute coronary syndrome; AHF: acute heart failure; CHF: chronic heart failure; HF: heart failure; NSTE-ACS: non-ST-segment-elevation-acute coronary syndrome; STEMI: ST-segment–elevation myocardial infarction.