Identification of Eupatilin from Artemisia argyi as a Selective PPAR alpha Agonist Using Affinity Selection Ultrafiltration LC-MS
- Authors
- Choi, Yongsoo; Jung, Yujung; Kim, Su-Nam
- Issue Date
- 2015-08
- Publisher
- MDPI
- Citation
- MOLECULES, v.20, no.8, pp.13753 - 13763
- Abstract
- Peroxisome proliferator-activated receptors (PPARs) are key nuclear receptors and therapeutic targets for the treatment of metabolic diseases through the regulation of insulin resistance, diabetes, and dyslipidemia. Although a few drugs that target PPARs have been approved, more diverse and novel PPAR ligands are necessary to improve the safety and efficacy of available drugs. To expedite the search for new natural agonists of PPARs, we developed a screening assay based on ultrafiltration liquid chromatography-mass spectrometry (LC-MS) that is compatible with complex samples such as dietary foods or botanical extracts. The known PPAR and/or PPAR ligands resveratrol and rosiglitazone were used as positive controls to validate the developed method. When applied to the screening of an Artemisia argyi extract, eupatilin was identified as a selective PPAR ligand. A PPAR competitive binding assay based on FRET detection also confirmed eupatilin as a selective PPAR agonist exhibiting a binding affinity of 1.18 M (IC50). Furthermore, eupatilin activation of the transcriptional activity of PPAR was confirmed using a cell-based transactivation assay. Thus, ultrafiltration LC-MS is a suitable assay for the identification of PPAR ligands in complex matrixes such as extracts of dietary foods and botanicals.
- Keywords
- GAMMA-AGONIST; ANTIINFLAMMATORY ACTIVITIES; MASS-SPECTROMETRY; SCREENING ASSAY; L.; ANTICANCER; LIGANDS; EXTRACT; FRET; GAMMA-AGONIST; ANTIINFLAMMATORY ACTIVITIES; MASS-SPECTROMETRY; SCREENING ASSAY; L.; ANTICANCER; LIGANDS; EXTRACT; FRET; PPAR; eupatilin; Artemisia argyi; ultrafiltration LC-MS
- ISSN
- 1420-3049
- URI
- https://pubs.kist.re.kr/handle/201004/125199
- DOI
- 10.3390/molecules200813753
- Appears in Collections:
- KIST Article > 2015
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