Antioxidant effects of Camellia sinensis L. Extract in patients with type 2 diabetes

Asta Spadiene, Nijole Savickiene, Liudas Ivanauskas, Valdas Jakstas, Andrejs Skesters, Alise Silova, Hiliaras Rodovicius

    Research output: Contribution to journalArticlepeer-review

    36 Citations (Scopus)
    24 Downloads (Pure)

    Abstract

    The prevalence of diabetes mellitus (DM) has dramatically increased in the past decade. Furthermore, increasing evidence from research shows that oxidative stress (OS) plays a crucial role in the pathogenesis of diabetes and in its complications. A search for ways to reduce oxidative damage has become the focus of interest for the majority of scientists. In this study, we determined the radical scavenging activity of single green tea constituents by using an on-line high performance liquid chromatography (HPLC)-2,2-diphenyl-1-picrylhydrazyl (DPPH) method and evaluated the antioxidant effects on type 2 diabetic patients by performing a double-blind, placebo-controlled study. Epigallocatechin gallate was identified as the most potent antioxidant, contributing approximately 50% of the total antioxidant capacity of green tea extract. We also found a statistically significant decrement of lipid peroxidation markers in patients treated with green tea extract after 9 months or after 18 months of follow-up. Overall, these findings are attractive for diabetic patients, helping them to keep a high level of performance and well-being, which ultimately may delay the time of disability and reduce mortality.

    Original languageEnglish
    Pages (from-to)505-511
    Number of pages7
    JournalJournal of Food and Drug Analysis
    Volume22
    Issue number4
    DOIs
    Publication statusPublished - 1 Dec 2014

    Keywords*

    • Antioxidant
    • Diabetes mellitus
    • Green tea extract
    • HPLC
    • Oxidative stress

    Field of Science*

    • 3.1 Basic medicine
    • 1.6 Biological sciences

    Publication Type*

    • 1.1. Scientific article indexed in Web of Science and/or Scopus database

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