International Journal of Molecular SciencesMolecular BiologyPeer-reviewed journal article
Modelling the effects of PPARβδ of innate inflammatory responses in lung tissues
Noelia Perez Diaz, Lisa A. LioneiD, Victoria HutteriD, Louise S. MackenzieiD
Abstract
Peroxisome proliferator activated receptor beta/delta (PPAR{beta}/{delta}) is a nuclear receptor ubiquitously expressed in cells whose signaling controls inflammation and metabolism. However, there are great discrepancies in understanding the role of PPAR{beta}/{delta}, having both anti- and pro-effects on inflammation. Understanding the PPAR{beta}/{delta} mechanism of action may provide new molecular mechanisms for treating a variety of inflammatory-related diseases. We studied the PPAR{beta}/{delta}-regulation of LPS-induced inflammation of pulmonary artery, bronchi and parenchyma from rat, using different combinations of agonists (GW0742 or L-165402) and antagonists (GSK3787 or GSK0660). LPS-induced inflammation is largely regulated by PPAR{beta}/{delta} in the pulmonary artery, but it is a minor factor in bronchi or parenchyma. Agonists do not significantly inhibit inflammation, but activates the PPAR{beta}/{delta} induction mode of action. Surprisingly, co-incubation of the tissue with agonist plus antagonist shows anti-inflammatory effects and switches the PPAR{beta}/{delta} mode of action from induction to trans-repression, indicating that the PPAR{beta}/{delta} induction mode of action is pro-inflammatory and the trans-repression anti-inflammatory. Us of Computational chemistry methods indicates that PPAR{beta}/{delta} agonists are predicted to form polar interactions with the residues His287, His413 and Tyr437 whilst PPAR{beta}/{delta} antagonists form polar interactions with the residues Thr252 and Asn307. Further, our modelling indicates favorable binding energies and the feasibility of simultaneous binding of two ligands in the PPAR{beta}/{delta} binding pocket. In summary, this study provides novel insight into the complex relationship between ligand binding profiles and functional outcomes in a rat lung inflammation model, which will help inform the design of novel therapies for inflammatory lung diseases.
- Citations
- 6
- FWCI
- 0.24
- Field percentile
- 42th percentile
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