Literature DB >> 27075629

Effects of antioxidant system on coronary artery lesions in patients with abnormal glucose metabolism.

Wei Liang1, Ya-Jie Zhao1, Hui Yang1, Lin-Hui Shen2.   

Abstract

OBJECTIVE: To evaluate the effects of catalase (CAT), superoxide dismutase (SOD), and glutathione (GSH) system on the range and severity of coronary artery lesions in patients with abnormal glucose metabolism.
METHODS: This study included 766 patients with abnormal glucose metabolism. Levels of fasting blood lipids, blood glucose, CAT, SOD, GSH, glutathione reductase (GR), and glutathione peroxidase (GSH-Px) were measured in all the patients. Coronarography was performed, and the degree of the lesions in each coronary artery was quantitatively analyzed using the Gensini scoring system.
RESULTS: In patients with impaired glucose regulation and diabetes, the number of coronary artery branches with stenosis and the Gensini scores were inversely correlated with the plasma levels of CAT, SOD, GSH, GH, and GSH-Px (P < 0.001). Patients were grouped according to the Gensini scores. As the scores increased, the levels of CAT, SOD, GSH, GSH-Px, and GR gradually decreased. Logistic gradual regression analysis showed that GSH-Px and CAT were independent risk factors associated with the coronary artery lesions in three or more branches.
CONCLUSIONS: Decreased plasma levels of CAT, SOD, GSH, GR, and GSH-Px were inversely correlated, at least to some extent, with the extent of coronary artery lesions. Particularly, GSH-Px and CAT were independent risk factors associated with coronary artery lesions involving three or more branches. This suggests that long-term hyperglycemia leads to enhancement of oxidative stress.

Entities:  

Keywords:  Catalase; Coronary heart disease; Glucose metabolism; Glutathione peroxidase; Glutathione reductase; Superoxide dismutase

Mesh:

Substances:

Year:  2016        PMID: 27075629     DOI: 10.1007/s40520-016-0564-z

Source DB:  PubMed          Journal:  Aging Clin Exp Res        ISSN: 1594-0667            Impact factor:   3.636


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