4.1 Article Data Paper

Data on the optimization of the formula of Xiaokeyinshui extract combination treating diabetes mellitus using uniform experimental design in mice

Journal

DATA IN BRIEF
Volume 32, Issue -, Pages -

Publisher

ELSEVIER
DOI: 10.1016/j.dib.2020.106134

Keywords

Traditional Chinese medicine; Xiaokeyinshui extract combination; Diabetes mellitus; Formula optimization; Uniform experimental design

Funding

  1. Hubei Provincial Major Technological Innovation Projects [2016ACA141]
  2. National Key Research and Development Projects on Modernization of TCM [2017YFCI701000]
  3. Chinese National Natural Science Foundation [81773869, 81503359]

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This dataset is supplementary to our accepted article in Journal of Ethnopharmacology [1]. Xiaokeyinshui (XKYS) formula, an anti-diabetic formula, was recorded in many ancient Chinese medical books. Xiaokeyinshui extract combination (XEC) originated from this ancient formula, consisting extracts of four herbal drugs, i.e., Coptidis Rhizoma, Liriopes Radix, bitter melon, and Cassiae Semen. In this study, herb extracts were prepared and mixed, producing Xiaokeyinshui extract combination (XEC). The optimized formula of XEC was also investigated via uniform experimental design. Diabetes was induced in Kunming mice, using high-sugar-high-fat diet combined with injection of streptozotocin (STZ) intraperitoneally. Different formulae of XEC were intragastrically administered to diabetic mice for 28 days. Fasting blood glucose (FBG), oral glucose tolerance test (OGIT), hemoglobin A1c (HbA1c), total cholesterol (TC), total triglyceride (TG) were measured to assess the anti-diabetic effects of each formula. Multivariate second degree polynomial model was applied in the fitting of metabolic parameters, and the extremum value of each regression model was calculated using grid algorithm. In addition, an optimized formula of XEC was subjected to validation experiment in mice model. This data could provide basis for a reasonable analysis for the optimization of the formula of XEC. (C) 2020 The Authors. Published by Elsevier Inc.

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