Medium chain fatty acids are selective peroxisome proliferator activated receptor (PPAR) γ activators and pan-PPAR partial agonists

Thiazolidinediones (TZDs) act through peroxisome proliferator activated receptor (PPAR) γ to increase insulin sensitivity in type 2 diabetes (T2DM), but deleterious effects of these ligands mean that selective modulators with improved clinical profiles are needed. We obtained a crystal structure of PPARγ ligand binding domain (LBD) and found that the ligand binding pocket (LBP) is occupied by bacterial medium chain fatty acids (MCFAs). We verified that MCFAs (C8-C10) bind the PPARγ LBD in vitro and showed that they are low-potency partial agonists that display assay-specific actions relative to TZDs; they act as very weak partial agonists in transfections with PPARγ LBD, stronger partial agonists with full length PPARγ and exhibit full blockade of PPARγ phosphorylation by cyclin-dependent kinase 5 (cdk5), linked to reversal of adipose tissue insulin resistance. MCFAs that bind PPARγ also antagonize TZD-dependent adipogenesis in vitro. X-ray structure B-factor analysis and molecular dynamics (MD) simulations suggest that MCFAs weakly stabilize C-terminal activation helix (H) 12 relative to TZDs and this effect is highly dependent on chain length. By contrast, MCFAs preferentially stabilize the H2-H3/β-sheet region and the helix (H) 11-H12 loop relative to TZDs and we propose that MCFA assay-specific actions are linked to their unique binding mode and suggest that it may be possible to identify selective PPARγ modulators with useful clinical profiles among natural products.     

Virtual identification of novel PPARα/γ dual agonists by 3D-QSAR,molecule docking and molecular dynamics studies

Abstract

Peroxisome proliferator-activated receptors (PPARs) are considered important targets for the treatment of Type 2 diabetes (T2DM). To accelerate the discovery of PPAR α/γ dual agonists, the comparative molecular field analysis (CoMFA) were performed for PPARα and PPARγ, respectively. Based on the molecular alignment, highly predictive CoMFA model for PPARα was obtained with a cross-validated q² value of 0.741 and a conventional r² of 0.975 in the non-cross-validated partial least-squares (PLS) analysis, while the CoMFA model for PPARγ with a better predictive ability was shown with q² and r² values of 0.557 and 0.996, respectively. Contour maps derived from the 3D-QSAR models provided information on main factors towards the activity. Then, we carried out structural optimization and designed several new compounds to improve the predicted biological activity. To investigate the binding modes of the predicted compounds in the active site of PPARα/γ, a molecular docking simulation was carried out. Molecular dynamic (MD) simulations indicated that the predicted ligands were stable in the active site of PPARα/γ. Therefore, combination of the CoMFA and structure-based drug design results could be used for further structural alteration and synthesis and development of novel and potent dual agonists. Abbreviations DM diabetes mellitus

T2DM type 2 diabetes

PPARs peroxisome proliferator-activated receptors

LBDD ligand based drug design

3D-QSAR three-dimensional quantitative structure activity relationship

CoMFA comparative molecular field analysis

PLS partial least square

LOO leave-one-out

q² cross-validated correlation coefficient

ONC optimal number of principal components

r² non-cross-validated correlation coefficient

SEE standard error of estimate

F the Fischer ratio

r²_pred predictive correlation coefficient

DBD DNA binding domain

MD molecular dynamics

RMSD root-mean-square deviation

RMSF root mean square fluctuations

Communicated by Ramaswamy H. Sarma     

Sesquiterpene lactones from Tithonia diversifolia act as peroxisome proliferator-activated receptor agonists

Tithonia diversifolia is a well-known traditional Chinese medicine treating diabetes, hepatitis, and hepatocarcinoma but its molecular mechanism is not fully understood. Peroxisome proliferator-activated receptors (PPARs) α and γ are members of nuclear receptor superfamily. Their agonists are prescribed as antihyperlipidemic and antihyperglycemic drugs now. In this study, sesquiterpene lactones, tirotundin and tagitinin A, were isolated from T. diversifolia and evaluated for their activity against PPARs by the transient transfection reporter assay. Tirotundin and tagitinin A transactivated PPARγ dependent promoters including PPRE (PPARγ response element), SHP, and ABCA1 gene promoters in dose-dependent manner. Furthermore, the fluorescence polarization competitive binding assay showed that tirotundin (IC(50)=27 μM) and tagitinin A (IC(50)=55 μM) enhanced PPARγ transactivation activity by directly binding to PPARγ ligand binding domain. Additionally, they stimulated the transactivation of PPARα dependent SULT2A1 gene promoter by 2.3-fold of vehicle effect at 10 μM. These results highly indicated that tirotundin and tagitinin A are the active components of T. diversifolia to exert anti-diabetic effect through PPARγ pathway. Moreover, these sesquiterpene lactones behaved as PPARα/γ dual agonists so they might be useful as the potential herbal treatment for diabetes.     

Identification of novel PPARα/γ dual agonists by virtual screening,ADMET prediction and molecular dynamics simulations

PPARα and PPARγ have been the most widely studied Peroxisome proliferator-activated receptor (PPAR) subtypes due to their important roles in regulating glucose, lipids, and cholesterol metabolism. By combining the lowering serum triglyceride levels benefit of PPARα agonists (such as fibrates) with the glycemic advantages of the PPARγ agonists (such as TZD), the dual PPAR agonists approach can both improve the metabolic effects and minimize the side effects caused by either agent alone, and hence, has become a promising strategy for designing effective drugs against type-2 diabetes. In this study, by means of virtual screening, ADMET prediction and molecular dynamics (MD) simulations techniques, one compound-ASN15761007 with high binding score, low toxicity were gained. It was observed by MD simulations that ASN15761007 not only possessed the same function as AZ242 did in activating PPARα and BRL did in activating PPARγ, but also had more favorable conformation for binding to the two receptors. Our results provided an approach to rapidly produce novel PPARα/γ dual agonists which might be a potential lead compound to develop against insulin resistance and hyperlipidemia.     

Molecular recognition of fatty acids by peroxisome proliferator-activated receptors

The peroxisome proliferator-activated receptors (PPARs) are nuclear receptors for fatty acids (FAs) that regulate glucose and lipid homeostasis. We report the crystal structure of the PPAR delta ligand-binding domain (LBD) bound to either the FA eicosapentaenoic acid (EPA) or the synthetic fibrate GW2433. The carboxylic acids of EPA and GW2433 interact directly with the activation function 2 (AF-2) helix. The hydrophobic tail of EPA adopts two distinct conformations within the large hydrophobic cavity. GW2433 occupies essentially the same space as EPA bound in both conformations. These structures provide molecular insight into the propensity for PPARs to interact with a variety of synthetic and natural compounds, including FAs that vary in both chain length and degree of saturation.     

Identification and mechanism of 10-carbon fatty acid as modulating ligand of peroxisome proliferator-activated receptors

Peroxisome proliferator-activated receptors (PPARα, -β/δ, and -γ) are a subfamily of nuclear receptors that plays key roles in glucose and lipid metabolism. PPARγ is the molecular target of the thiazolidinedione class of antidiabetic drugs that has many side effects. PPARγ is also activated by long chain unsaturated or oxidized/nitrated fatty acids, but its relationship with the medium chain fatty acids remains unclear even though the medium chain triglyceride oils have been used to control weight gain and glycemic index. Here, we show that decanoic acid (DA), a 10-carbon fatty acid and a major component of medium chain triglyceride oils, is a direct ligand of PPARγ. DA binds and partially activates PPARγ without leading to adipogenesis. Crystal structure reveals that DA occupies a novel binding site and only partially stabilizes the AF-2 helix. DA also binds weakly to PPARα and PPARβ/δ. Treatments with DA and its triglyceride form improve glucose sensitivity and lipid profiles without weight gain in diabetic mice. Together, these results suggest that DA is a modulating ligand for PPARs, and the structure can aid in designing better and safer PPARγ-based drugs.     

X-ray crystal structure of rivoglitazone bound to PPARγ and PPAR subtype selectivity of TZDs

Thiazolidinedione (TZD) compounds targeting the nuclear receptor peroxisome proliferator-activated receptor gamma (PPARγ) demonstrate unique benefits for the treatment of insulin resistance and type II diabetes. TZDs include rosiglitazone, pioglitazone and rivoglitazone, with the latter being the most potent. The TZDs are only marginally selective for the therapeutic target PPARγ as they also activate PPARα and PPARδ homologues to varying degrees, causing off-target effects. While crystal structures for TZD compounds in complex with PPARγ are available, minimal structural information is available for TZDs bound to PPARα and PPARδ. This paucity of structural information has hampered the determination of precise structural mechanisms involved in TZD selectivity between PPARs. To help address these questions molecular dynamic simulations were performed of rosiglitazone, pioglitazone and rivoglitazone in complex with PPARα, PPARδ, and PPARγ in order to better understand the mechanisms of PPAR selectivity. The simulations revealed that TZD interactions with residues Tyr314 and Phe318 of PPARα and residues Phe291 and Thr253 of PPARδ as well as the omega loop, are key determinants of TZD receptor selectivity. Notably, in this study, we solve the first X-ray crystal structure of rivoglitazone bound to any PPAR. Rivoglitazone forms a unique hydrogen bond network with the residues of the PPARγ co-activator binding surface (known as AF2) and makes more extensive contacts with helix 3 and the β-sheet as compared to model TZD compounds such as rosiglitazone.     

PPA受体天然激动剂的研究进展

从天然产物中筛选低毒高效的PPARs(peroxisome proliferators activated receptors)激动剂已成为开发治疗代谢综合症药物的研究热点。现针对近年来关于PPARs天然激动剂的研究报道进行综述,包括药用和食用植物、复方中药,以及生理活性物质中含有的PPARs三个亚型α、β、γ的激动剂,或是PPARs的双重和泛天然激动剂,这些天然产物均能通过激动PPARs发挥治疗预防疾病和调节生理功能的作用。     

Structural analysis and prediction of protein mutant stability using distance and torsion potentials: role of secondary structure and solvent accessibility

Platelet-activating factor receptor (PAFR) is a member of G-protein coupled receptor (GPCR) superfamily. Understanding the regulation mechanisms of PAFR by its agonists and antagonists at the atomic level is essential for designing PAFR antagonists as drug candidates for treating PAF-mediated diseases. In this study, a 3D model of PAFR was constructed by a hierarchical approach integrating homology modeling, molecular docking and molecular dynamics (MD) simulations. Based on the 3D model, regulation mechanisms of PAFR by agonists and antagonists were investigated via three 8-ns MD simulations on the systems of apo-PAFR, PAFR-PAF and PAFR-GB. The simulations revealed that binding of PAF to PAFR triggers the straightening process of the kinked helix VI, leading to its activated state. In contrast, binding of GB to PAFR locks PAFR in its inactive state.     

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

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-α, PPAR-γ, and PPAR-δ, 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-α, with Thr252, Thr253 and Lys331 of PPAR-δ, and with Arg316 and Glu371 of PPAR-γ. Hence, we propose the top two TCM candidates as potential lead compounds in developing agonists targeting PPARs protein for treating metabolic syndrome.