New Insights into Bioactive Compounds of Traditional Chinese Medicines for Insulin Resistance Based on Signaling Pathways

Jian He, Hui Wang, Jan Vijg

Research output: Contribution to journalReview article

Abstract

Type 2 diabetes is a serious metabolic disease as a long-term threat to human health. Insulin resistance is not only the basis and major feature of type 2 diabetes, but also the main etiology of diseases such as hypertension, hyperlipidemia and coronary heart disease. It has been shown that Traditional Chinese Medicines (TCMs) play an important role in the treatment of type 2 diabetes, through attenuating insulin resistance, whereas the mechanism involved is not yet well understood. Therefore, it is important to elucidate the pharmacological mechanism of these bioactive compounds so that one can pave the way for the modernization of TCMs. In this review, we focus on the recent progresses of some bioactive ingredients from TCMs with different functional groups, which exhibit therapeutic potential for the treatment of diabetic insulin resistance. It is expected that this review can provide new references for developing TCM-derived drugs against diabetes and insulin resistance in the future.

Original languageEnglish (US)
Pages (from-to)e1900176
JournalChemistry & biodiversity
Volume16
Issue number9
DOIs
StatePublished - Sep 1 2019

Fingerprint

Insulin
Chinese Traditional Medicine
Medical problems
Medicine
Insulin Resistance
Type 2 Diabetes Mellitus
Metabolic Diseases
Bioelectric potentials
Modernization
Hyperlipidemias
Social Change
Functional groups
Coronary Disease
Therapeutics
Health
Pharmacology
Hypertension
Pharmaceutical Preparations

Keywords

  • bioactive compounds
  • insulin resistance
  • metabolic syndrome
  • traditional Chinese medicines
  • type 2 diabetes

ASJC Scopus subject areas

  • Bioengineering
  • Biochemistry
  • Chemistry(all)
  • Molecular Medicine
  • Molecular Biology

Cite this

New Insights into Bioactive Compounds of Traditional Chinese Medicines for Insulin Resistance Based on Signaling Pathways. / He, Jian; Wang, Hui; Vijg, Jan.

In: Chemistry & biodiversity, Vol. 16, No. 9, 01.09.2019, p. e1900176.

Research output: Contribution to journalReview article

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