Your browser doesn't support javascript.
loading
Show: 20 | 50 | 100
Results 1 - 3 de 3
Filter
Add more filters










Database
Language
Publication year range
1.
Front Cardiovasc Med ; 9: 867646, 2022.
Article in English | MEDLINE | ID: mdl-35514441

ABSTRACT

Background: Chronic coronary syndrome (CCS) is a newly proposed concept and is hallmarked by more long-term major adverse cardiovascular events (MACEs), calling for accurate prognostic biomarkers for initial risk stratification. Methods: Data-independent acquisition liquid chromatography tandem mass spectrometry (DIA LC-MS/MS) quantitative proteomics was performed on 38 patients with CCS; 19 in the CCS events group and 19 in the non-events group as the controls. We also developed a machine-learning-based pipeline to identify proteins as potential biomarkers and validated the target proteins by enzyme-linked immunosorbent assay in an independent prospective cohort. Results: Fifty-seven differentially expressed proteins were identified by quantitative proteomics and three final biomarkers were preliminarily selected from the machine-learning-based pipeline. Further validation with the prospective cohort showed that endothelial protein C receptor (EPCR) and cholesteryl ester transfer protein (CETP) levels at admission were significantly higher in the CCS events group than they were in the non-events group, whereas the carboxypeptidase B2 (CPB2) level was similar in the two groups. In the Cox survival analysis, EPCR and CETP were independent risk factors for MACEs. We constructed a new prognostic model by combining the Framingham coronary heart disease (CHD) risk model with EPCR and CETP levels. This new model significantly improved the C-statistics for MACE prediction compared with that of the Framingham CHD risk model alone. Conclusion: Plasma proteomics was used to find biomarkers of predicting MACEs in patients with CCS. EPCR and CETP were identified as promising prognostic biomarkers for CCS.

2.
Cardiovasc Diabetol ; 19(1): 120, 2020 08 03.
Article in English | MEDLINE | ID: mdl-32746821

ABSTRACT

BACKGROUND: Growth differentiation factor-15 (GDF-15) is a marker of inflammation, oxidative stress and it is associated with adverse prognosis in cardiovascular disease. The aim of the present cohort study is to investigate the prognostic value of GDF-15 in patients with coronary artery disease (CAD) during long-term follow up. METHODS: A total of 3641 consecutive patients with CAD were prospectively enrolled into the study and followed up for major adverse cardiovascular events (MACEs) and all-cause death up to 5.3-7.6 years. Plasma GDF-15 was measured and clinical data and long-term events were registered. The patients were subsequently divided into three groups by the levels of GDF-15 and the prognostic value of GDF-15 level with MACEs and all-cause death was evaluated. RESULTS: After a median follow-up at 6.4 years later, 775 patients (event rate of 21%) had developed MACEs and 275 patients died (event rate of 7.55%). Kaplan-Meier analysis indicated that the patients with GDF-15 > 1800 ng/L were significantly associated with an increased risk of MACEs and all-cause death. Cox regression analysis indicated that GDF-15 > 1800 ng/L were independently associated with the composite of MACEs (HR 1.74; 95% CI 1.44-2.02; P < 0.001) and all-cause death (HR 2.04; 95% CI 1.57-2.61; P < 0.001). For MACEs, GDF-15 significantly improved the C-statistic (area under the curve, 0.583 [95% CI 0.559-0.606] to 0.628 [0.605-0.651]; P < 0.001), net reclassification index (0.578; P = 0.031), and integrated discrimination index (0.021; P = 0.027). For all-cause death, GDF-15 significantly improved the C-statistic (0.728 [95% CI 0.694-0.761] to 0.817 [0.781-0.846]; P < 0.001), net reclassification index (0.629; P = 0.001), and integrated discrimination index (0.035; P = 0.002). CONCLUSIONS: In the setting of CAD, GDF-15 is associated with long-term MACEs and all-cause death, and provides incremental prognostic value beyond traditional risks factors.


Subject(s)
Coronary Artery Disease/blood , Growth Differentiation Factor 15/blood , Adult , Aged , Aged, 80 and over , Biomarkers/blood , Cause of Death , Coronary Artery Disease/diagnosis , Coronary Artery Disease/mortality , Female , Humans , Male , Middle Aged , Predictive Value of Tests , Prognosis , Prospective Studies , Risk Assessment , Risk Factors , Time Factors
3.
Acta Crystallogr Sect E Struct Rep Online ; 64(Pt 2): m328-9, 2008 Jan 09.
Article in English | MEDLINE | ID: mdl-21201296

ABSTRACT

In the title compound, [Zn(C(8)H(8)N(3)S(2))(2)], the Zn atom is coordinated by the two ligands in a tridentate manner, via the pyridyl N, the azomethine N and the thiol-ate S atom; the coordination geometry is distorted octa-hedral, with the two ligands in the mer configuration (two S atoms and two pyridyl N atoms are cis with respect to each other and the azomethine N atoms is trans). The mol-ecules are linked by C-H⋯S hydrogen bonds, forming a three-dimensional network structure.

SELECTION OF CITATIONS
SEARCH DETAIL
...