Dataset Information

Biomarker of Collagen Turnover (C-Terminal Telopeptide) and Prognosis in Patients With Non- ST -Elevation Acute Coronary Syndromes.

ABSTRACT: Background Small studies have suggested an association between markers of collagen turnover and adverse outcomes in heart failure ( HF ). We examined C-terminal telopeptide (beta- CT x) and the risk of cardiovascular death or new or worsening HF in non- ST -elevation acute coronary syndrome. Methods and Results We measured baseline serum beta- CT x, NT -pro BNP (N-terminal pro-B-type natriuretic peptide), hsTnT (high-sensitivity cardiac troponin T) and hs CRP (high-sensitivity C-reactive protein) (Roche Diagnostics) in a nested biomarker analysis (n=4094) from a study of patients with non- ST -elevation acute coronary syndrome. The relationship between quartiles of beta- CT x and cardiovascular death or HF over a median follow-up time of 12 months was analyzed using adjusted Cox models. Higher beta- CT x levels identified a significantly higher risk of cardiovascular death/ HF (Q4 10.9% versus Q1 3.8%, Logrank P<0.001). After multivariable adjustment, beta- CT x in the top quartile (Q4) was associated with cardiovascular death/ HF (Q4 versus Q1: adjusted hazard ratio 2.22 [1.50-3.27]) and its components (Q4 versus Q1: cardiovascular death: adjusted hazard ratio 2.48 [1.46-4.21]; HF : adjusted hazard ratio 2.04 [1.26-3.30]). In an adjusted multimarker model including NT -pro BNP , hsTnT, and hs CRP , beta- CT x remained independently associated with cardiovascular death/ HF (Q4 versus Q1: adjusted hazard ratio 1.98 [1.34-2.93]) and its components. Beta- CT x correlated weakly with NT -pro BNP ( r=0.17, P<0.001) and left ventricular ejection fraction ( r=-0.05, P=0.008) and did not correlate with hsTnT ( r=0.02, P=0.20), or hs CRP ( r=-0.03, P=0.09). Conclusions Levels of beta- CT x, a biomarker of collagen turnover, were associated with cardiovascular death and HF in patients with non- ST -elevation acute coronary syndrome. This biomarker, which correlated only weakly or not significantly with traditional biomarkers of cardiovascular death and HF , may provide complementary pathobiological insight and risk stratification in these patients.

SUBMITTER: Zelniker TA

PROVIDER: S-EPMC6512136 | biostudies-literature | 2019 May

REPOSITORIES: biostudies-literature

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Biomarker of Collagen Turnover (C-Terminal Telopeptide) and Prognosis in Patients With Non- ST -Elevation Acute Coronary Syndromes.

Zelniker Thomas A TA Jarolim Petr P Scirica Benjamin M BM Braunwald Eugene E Park Jeong-Gun JG Das Saumya S Sabatine Marc S MS Morrow David A DA

Journal of the American Heart Association 20190501 9

Background Small studies have suggested an association between markers of collagen turnover and adverse outcomes in heart failure ( HF ). We examined C-terminal telopeptide (beta- CT x) and the risk of cardiovascular death or new or worsening HF in non- ST -elevation acute coronary syndrome. Methods and Results We measured baseline serum beta- CT x, NT -pro BNP (N-terminal pro-B-type natriuretic peptide), hsTnT (high-sensitivity cardiac troponin T) and hs CRP (high-sensitivity C-reactive protein ...[more]

PMID: 31020897

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Project description:BACKGROUND:T-wave abnormalities are common during the acute phase of non-ST-segment elevation acute coronary syndromes, but mechanisms underlying their occurrence are unclear. We hypothesized that T-wave abnormalities in the presentation of non-ST-segment elevation acute coronary syndromes correspond to the presence of myocardial edema. METHODS AND RESULTS:Secondary analysis of a previously enrolled prospective cohort of patients presenting with non-ST-segment elevation acute coronary syndromes was conducted. Twelve-lead electrocardiography (ECG) and cardiac magnetic resonance with T2-weighted imaging were acquired before invasive coronary angiography. ECGs were classified dichotomously (ie, ischemic versus normal/nonischemic) and nominally according to patterns of presentation: no ST- or T-wave abnormalities, isolated T-wave abnormality, isolated ST depression, ST depression+T-wave abnormality. Myocardial edema was determined by expert review of T2-weighted images. Of 86 subjects (65% male, 59.4 years), 36 showed normal/nonischemic ECG, 25 isolated T-wave abnormalities, 11 isolated ST depression, and 14 ST depression+T-wave abnormality. Of 30 edema-negative subjects, 24 (80%) had normal/nonischemic ECGs. Isolated T-wave abnormality was significantly more prevalent in edema-positive versus edema-negative subjects (41.1% versus 6.7%, P=0.001). By multivariate analysis, an ischemic ECG showed a strong association with myocardial edema (odds ratio 12.23, 95% confidence interval 3.65-40.94, P<0.0001). Among individual ECG profiles, isolated T-wave abnormality was the single strongest predictor of myocardial edema (odds ratio 23.84, 95% confidence interval 4.30-132, P<0.0001). Isolated T-wave abnormality was highly specific (93%) but insensitive (43%) for detecting myocardial edema. CONCLUSIONS:T-wave abnormalities in the setting of non-ST-segment elevation acute coronary syndromes are related to the presence of myocardial edema. High specificity of this ECG alteration identifies a change in ischemic myocardium associated with worse outcomes that is potentially reversible.

Project description:Objective This study is aimed at exploring the underlying molecular mechanisms of ST-segment elevation myocardial infarction (STEMI) and provides potential clinical prognostic biomarkers for STEMI. Methods The GSE60993 dataset was downloaded from the GEO database, and the differentially expressed genes (DEGs) between STEMI and control groups were screened. Enrichment analysis of the DEGs was subsequently performed using the DAVID database. A protein–protein interaction network was constructed, and hub genes were identified. The hub genes in patients were then validated by quantitative reverse transcription-PCR. Furthermore, hub gene-miRNA interactions were evaluated using the miRTarBase database. Finally, patient data on classical cardiovascular risk factors were collected, and plasma microRNA-146a (miR-146a) levels were detected. An individualized nomogram was constructed based on multivariate Cox regression analysis. Results A total of 239 DEGs were identified between the STEMI and control groups. Expression of S100A12 and miR-146a was significantly upregulated in STEMI samples compared with controls. STEMI patients with high levels of miR-146a had a higher risk of major adverse cardiovascular events (MACEs) than those with low levels of miR-146a (log-rank P = 0.034). Multivariate Cox regression analysis identified five statistically significant variables, including age, hypertension, diabetes mellitus, white blood cells, and miR-146a. A nomogram was constructed to estimate the likelihood of a MACE at one, two, and three years after STEMI. Conclusion The incidence of MACEs in STEMI patients expressing high levels of miR-146a was significantly greater than in those expressing low levels. MicroRNA-146a can serve as a biomarker for adverse prognosis of STEMI and might function in its pathogenesis by targeting S100A12, which may exert its role via an inflammatory response. In addition, our study presents a valid and practical model to assess the probability of MACEs within three years of STEMI.

Dataset Information

Biomarker of Collagen Turnover (C-Terminal Telopeptide) and Prognosis in Patients With Non- ST -Elevation Acute Coronary Syndromes.

Publications

Biomarker of Collagen Turnover (C-Terminal Telopeptide) and Prognosis in Patients With Non- ST -Elevation Acute Coronary Syndromes.

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