Identifying selective agonists targeting LXRβ from terpene compounds of alismatis rhizoma

Chuanjiong Lin1, Jianzong Li1, Chuanfang Wu2

  • 1Key Laboratory of Bio-Resource and Eco-Environment of Ministry of Education, College of Life Sciences, Sichuan University, Chengdu, 610065, Sichuan, P.R. China.

Insights

Researchers identified two natural compounds from Alismatis Rhizoma that selectively target Liver X receptor beta (LXRβ). These compounds show promise for treating hyperlipidemia by offering a more targeted approach than current therapies.

Area of Science:

  • Pharmacology and Computational Chemistry
  • Molecular Biology and Drug Discovery

Background:

  • Hyperlipidemia is a significant risk factor for coronary disease, diabetes, and fatty liver.
  • Liver X receptor beta (LXRβ) is a validated therapeutic target for hyperlipidemia due to its role in cholesterol homeostasis.
  • Existing drugs targeting LXRβ often lack selectivity, activating LXRα and promoting lipogenesis, necessitating the development of selective LXRβ agonists.

Purpose of the Study:

  • To computationally screen for selective Liver X receptor beta (LXRβ) agonists from Alismatis Rhizoma terpenes.
  • To identify key amino acid residues involved in selective LXRβ ligand binding.
  • To evaluate the potential of identified compounds as therapeutic agents for hyperlipidemia.

Main Methods:

  • In silico screening of 112 terpenes from Alismatis Rhizoma.
  • Structural analysis to identify key residues for selective LXRβ binding (Phe271, Ser278, Met312, His435, Trp457).
  • ADMET analysis, molecular docking, MD simulations, and binding free energy calculations.

Main Results:

  • Two triterpenes, 16-hydroxy-alisol B 23-acetate and alisol M 23-acetate, demonstrated favorable ADMET properties.
  • These compounds exhibited high binding affinity and selectivity for LXRβ.
  • Key residues Phe271, Ser278, Met312, His435, and Trp457 were identified as crucial for selective binding.

Conclusions:

  • 16-hydroxy-alisol B 23-acetate and alisol M 23-acetate are promising selective LXRβ agonists.
  • These compounds offer a potential new therapeutic strategy for hyperlipidemia.
  • Computational screening provides an effective approach for discovering selective LXRβ agonists from natural products.

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