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- Title
Correlation of serum CF6 with blood lipid and glucose in patients with type 2 diabetic retinopathy.
- Authors
Yan, Xiaoling; Zou, Chen; Liu, Dongsheng
- Abstract
This study was to investigate the relationship of serum mitochondrial coupling factor 6 (CF6) with blood lipid and glucose in patients with type 2 diabetic retinopathy. A total of 180 patients with type 2 diabetes enrolled in our hospital from January 2015 to September 2017 were selected as the research objects. They were divided in accordance with fundus fluorescence angiography (FFA) into normal diabetic retinopathy (NDR) group, background diabetic retinopathy (BDR) group as well as proliferative diabetic retinopathy (PDR), with 60 cases in each group, and at the same time, another 60 healthy subjects were selected as normal control (NC) group. Serum CF6, fasting plasma glucose (FPG), 2 h postprandial plasma glucose (2hPG), glycosylated hemoglobin (HbA1c), low-density lipoprotein cholesterol (LDL-C), high-density lipoprotein cholesterol (HDL-C), total cholesterol as well as triglyceride were measured in the groups and the relationship of serum CF6 with related indicators was analyzed. The level of serum CF6 in type 2 diabetes group was higher than that in NC group and there was statistically significant difference among the groups with the occurrence and aggravation of retinopathy (P < 0.05). Correlation analysis showed that serum CF6 was positively correlated with FPG, 2hPG, HbA1c, and LDL-C of statistical significance (P < 0.05) and negatively correlated with HDL-C of statistical significance (P < 0.05). The results of multiple step regression analysis showed that HbA1c and LDL-C were independent risk factors for CF6. In conclusion, the serum CF6 of patients with diabetic retinopathy increases with aggravation of the disease, taking a part in the occurrence and development of retinopathy together with the disorder of blood glucose and lipid metabolism.
- Subjects
BLOOD lipids; BLOOD sugar; DIABETIC retinopathy; SERUM; GLYCOSYLATED hemoglobin; MULTIPLE regression analysis
- Publication
European Journal of Inflammation, 2019, Vol 17, p1
- ISSN
1721-727X
- Publication type
Letter
- DOI
10.1177/2058739219853693