Effects of Six Kinds of Sodium-Glucose Cotransporter 2 Inhibitors on Metabolic Parameters, and Summarized Effect and Its Correlations With Baseline Data

  • Yanai H
  • Hakoshima M
  • Adachi H
  • et al.
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Abstract

BACKGROUND Sodium-glucose cotransporter 2 inhibitor (SGLT2i) blocks reabsorption of glucose by inhibiting SGLT2 in kidney, promotes the renal excretion of glucose and improves blood glucose control without requiring insulin secretion. Anti-atherosclerotic effects of SGLT2is have not been fully elucidated until today. METHODS We retrospectively picked up patients with type 2 diabetes who had been continuously prescribed SGLT2i for 3 months or more between April 2014 and December 2016 by a chart-based analysis, and compared metabolic parameters including coronary risk factors before the SGLT2i treatment with the data at 3 and 6 months after the SGLT2i treatment started. RESULTS We found 26 patients treated with tofogliflozin, 34 patients with canagliflozin, 27 patients with empagliflozin, 23 patients with ipragliflozin, 68 patients with dapagliflozin and 71 patients with luseogliflozin. Each SGLT2i ameliorated metabolic parameters, in different patterns. SGLT2is reduced body weight, systolic and diastolic blood pressures, plasma glucose, hemoglobin A1c, aspartate aminotransferase, alanine aminotransferase, γ-glutamyltransferase, uric acid, triglyceride and non-high-density lipoprotein-cholesterol (HDL-C), and elevated HDL-C; however, they did not affect LDL-cholesterol levels. Change in each metabolic parameter was significantly correlated with each metabolic parameter at baseline. CONCLUSION The present study demonstrated that SGLT2i ameliorated body weight, blood pressure, liver function, serum lipids and uric acid, in addition to improvement of glucose metabolism in patients with type 2 diabetes.

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Yanai, H., Hakoshima, M., Adachi, H., Kawaguchi, A., Waragai, Y., Harigae, T., … Sako, A. (2017). Effects of Six Kinds of Sodium-Glucose Cotransporter 2 Inhibitors on Metabolic Parameters, and Summarized Effect and Its Correlations With Baseline Data. Journal of Clinical Medicine Research, 9(7), 605–612. https://doi.org/10.14740/jocmr3046w

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