Usefulness of Plasma Tissue Inhibitor of Matrix Metalloproteinase-4 to Predict Death and Myocardial Infarction in Patients With Diabetes Mellitus Referred for Coronary Angiography

作者:Cavusoglu Erdal*; Kassotis John T; Marmur Jonathan D; Banerji Mary Ann; Yanamadala Sunitha; Chopra Vineet; Anwar Ayesha; Eng Calvin
来源:American Journal of Cardiology, 2017, 120(1): 1-7.
DOI:10.1016/j.amjcard.2017.03.267

摘要

TIMP-4 is the newest member of a family of secreted proteins known as the tissue inhibitors of metalloproteases that selectively inhibit matrix metalloproteases. TIMP-4 is abundantly expressed in human cardiovascular structures and has been implicated in cardiovascular disease. Furthermore, it has also been shown to be a novel target of peroxisome proliferator-activated receptor gamma in rat smooth muscle cells, suggesting a potential role in diabetes mellitus as well. However, there have been no studies that have specifically examined the utility of baseline plasma TIMP-4 levels for the prediction of long-term adverse cardiovascular outcomes. In this study, baseline plasma TIMP-4 levels were measured in 162 male patients with diabetes mellitus who were referred for coronary angiography and followed prospectively for the development of all-cause mortality and enzymatically confirmed myocardial infarction (MI) out to 5 years. After adjustment for a variety of baseline clinical, angiographic and laboratory parameters, plasma TIMP-4 levels were an independent predictor of all-cause mortality (hazard ratio 1.60, 95% CI 1.13 to 2.26; p = 0.0082) and MI (hazard ratio 1.61, 95% CI 1.19 to 2.18; p = 0.0021) at 5 years. Furthermore, in additional multivariate models that adjusted for a variety of biomarkers with established prognostic efficacy, TIMP-4 remained an independent predictor of adverse outcomes. In conclusion, elevated levels of TIMP-4 are associated with an increased risk of long-term all-cause mortality and MI in patients with diabetes mellitus referred for coronary angiography. Moreover, this association is independent of a variety of clinical, angiographic, and laboratory variables, including biomarkers with established prognostic efficacy in the prediction of adverse cardiovascular outcomes.

  • 出版日期2017-7-1