4.7 Article

Three-in-one agonists for PPAR-α, PPAR-γ, and PPAR-δ from traditional Chinese medicine

Journal

JOURNAL OF BIOMOLECULAR STRUCTURE & DYNAMICS
Volume 30, Issue 6, Pages 662-683

Publisher

TAYLOR & FRANCIS INC
DOI: 10.1080/07391102.2012.689699

Keywords

PPAR-alpha; PPAR-gamma; PPAR-delta; traditional Chinese medicine (TCM); docking; molecular dynamics (MD)

Funding

  1. National Science Council of Taiwan [NSC101-2325-B-039-001, 100-2325-B-039-001]
  2. Committee on Chinese Medicine and Pharmacy [CCMP100-RD-030]
  3. China Medical University
  4. Asia University [DMR-101-094]
  5. Taiwan Department of Health Clinical Trial and Research Center of Excellence [DOH101-TD-B-111-004]
  6. Taiwan Department of Health Cancer Research Center of Excellence [DOH101-TD-C-111-005]
  7. National Natural Science Foundation of China [81173021]

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Nowadays, the occurrence of metabolic syndrome, which is characterized by obesity and clinical disorders, has been increasing rapidly over the world. It induces several serious chronic diseases such as cardiovascular disease, dyslipidemia, gall bladder disease, hypertension, osteoarthritis, sleep apnea, stroke, and type 2 diabetes mellitus. Peroxisome proliferator-activated receptors (PPARs), which have three isoforms: PPAR-alpha, PPAR-gamma, and PPAR-delta, are key regulators of adipogenesis, lipid and carbohydrate metabolism, and are potential drug targets for treating metabolic syndrome. The traditional Chinese medicine (TCM) compounds from TCM Database@Taiwan (http://tcm.cmu.edu.tw/) were employed to virtually screen for potential PPAR agonists, and structure-based pharmacophore models were generated to identify the key interactions for each PPAR protein. In addition, molecular dynamics (MD) simulation was performed to evaluate the stability of the PPAR-ligand complexes in a dynamic state. (S)-Tryptophan-betaxanthin and berberrubine, which have higher Dock Score than controls, form stable interactions during MD, and are further supported by the structure-based pharmacophore models in each PPAR protein. Key features include stable H-bonds with Thr279 and Ala333 of PPAR-alpha, with Thr252, Thr253 and Lys331 of PPAR-delta, and with Arg316 and Glu371 of PPAR-gamma. Hence, we propose the top two TCM candidates as potential lead compounds in developing agonists targeting PPARs protein for treating metabolic syndrome.

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