| Literature DB >> 27537575 |
Qing Qin1, Juying Qian, Jianying Ma, Lei Ge, Junbo Ge.
Abstract
This study is aimed to investigate whether serum angiostatic factors (thrombospondin-1 [TSP-1] and endostatin) or angiogenic factors (angiopoietin-2 [Ang-2]) are related to coronary collateral vessel development in patients with chronic total occlusion (CTO).A total of 149 patients were enrolled in the study, and 39 patients with coronary artery disease but without significant stenosis were included in control group. In 110 patients with CTO lesion, 79 with Rentrop grades 2 to 3 collaterals were grouped as good collateral, while 31 with Rentrop grades 0 to 1 collaterals were grouped as poor collateral. Serum TSP-1, endostatin, and Ang-2 levels were studied.Serum endostatin level was significantly higher in poor collateral group compared with control group and good collateral group, respectively (96.2 ± 30.4 vs 77.8 ± 16.5 ng/mL, P = 0.007; 96.2 ± 30.4 vs 81.2 ± 30.4 ng/mL, P = 0.018). In multivariate analysis, decreased serum endostatin level was independently related to good coronary collateral development. Serum TSP-1 level was lower in patients with CTO compared with control group. However, no difference in TSP-1 level was detected between poor and good collateral group. The serum Ang-2 level did not show a significant difference among 3 groups.Circulatory endostatin may be a useful biomarker for coronary collateral development and potential target for therapeutic angiogenesis in patients with CTO.Entities:
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Year: 2016 PMID: 27537575 PMCID: PMC5370801 DOI: 10.1097/MD.0000000000004524
Source DB: PubMed Journal: Medicine (Baltimore) ISSN: 0025-7974 Impact factor: 1.889
Figure 1Flowchart of selecting CTO patients enrolled in the study. CABG = coronary artery bypass grafting, CAG = coronary angiography, CTO = chronic total occlusion.
Baseline characteristics of the study population.
TSP-1, endostatin and Ang-2 levels among the groups.
Associations between different factors and good coronary collateral development by using the logistic regression.
Associations between different factors and endostatin by using the multiple linear regression.