Stable reporter cell lines for peroxisome proliferator-activated receptor γ (PPARγ)-mediated modulation of gene expression

Phosphatidylinositol (PtdIns) is phosphorylated at D-3, D-4, and/or D-5 of the inositol ring to produce seven distinct lipid second messengers known as phosphoinositides (PIs). The PI level is temporally and spatially controlled at the cytosolic face of the cellular membrane. Effectors containing PI-binding domains (e.g., PH, PX, FYVE, ENTH, FERM) associate with specific PIs. This process is crucial for the localization of a variety of cell-signaling proteins, thereby regulating intracellular membrane trafficking, cell growth and survival, cytoskeletal organization, and so on. However, quantitative assessments of protein–PI interactions are generally difficult due to insolubility of PIs in aqueous solution. Here we incorporated PIs into a lipid–protein nanoscale bilayer (nanodisc), which is applied for studying the protein–PI interactions using pull-down binding assay, fluorescence polarization, and nuclear magnetic resonance studies, each facilitating fast, quantitative, and residue-specific evaluation of the protein–PI interactions. Therefore, the PI-incorporated nanodisc could be used as a versatile tool for studying the protein–lipid interactions by various biochemical and biophysical techniques.     

Stable reporter cell lines for peroxisome proliferator-activated receptor γ (PPARγ)-mediated modulation of gene expression

Activation of peroxisome proliferator-activated receptor γ (PPARγ) by ligands is associated with beneficial health effects, including anti-inflammatory and insulin-sensitizing effects. The aim of the current study was to develop luciferase reporter gene assays to enable fast and low-cost measurement of PPARγ agonist and antagonist activity. Two reporter gene assays, PPARγ1 CALUX and PPARγ2 CALUX, were developed by stable transfection of U2OS cells with an expression vector for PPARγ1 or PPARγ2 and a pGL3–3xPPRE–tata-luc or pGL4–3xPPRE–tata-luc reporter construct, respectively. PPARγ1 CALUX and PPARγ2 CALUX cells showed similar concentration-dependent luciferase induction upon exposure to the PPARγ agonists rosiglitazone, troglitazone, pioglitazone, ciglitazone, netoglitazone, and 15-deoxy-Δ^12,14-prostaglandin J₂. The potency to induce luciferase decreased in the following order: rosiglitazone > troglitazone = pioglitazone > netoglitazone > ciglitazone. A concentration-dependent decrease in the response to 50 nM rosiglitazone was observed on the addition of PPARγ antagonist GW9662 or T0070907 in both PPARγ1 CALUX and PPARγ2 CALUX cells. The PPARα agonists WY14643 and fenofibrate failed to induce luciferase activity, confirming the specificity of these cell lines for PPARγ agonists. In conclusion, PPARγ1 CALUX and PPARγ2 CALUX cells provide a reliable and useful tool to screen (bio)chemicals for PPARγ agonist or antagonist activity.     

Rosuvastatin alleviated the liver ischemia reperfusion injury by activating the expression of peroxisome proliferator-activated receptor gamma (PPARγ)

Journal of Bioenergetics and Biomembranes - Liver ischemia and reperfusion could cause serious damage to liver tissues. Abnormal liver function could induce serious damage and threaten human...     

Agonism activities of lyso-phosphatidylcholines (LPC) Ligands binding to peroxisome proliferator-activated receptor gamma (PPARγ)

Abstract

PPARγ is an isoform of peroxisome proliferator-activated receptor (PPAR) belonging to a super family of nuclear receptors and is a primary target of the effective drug to treat the type II diabetes. The experiments found that Lyso-phosphatidylcholines (LPC) could bind to PPARγ, but the binding modes remain unknown. We used the Molecular Docking and Molecular Dynamic (MD) simulations to study the binding of four LPC ligands (LPC16:0, LPC18:0, LPC18:1-1 and LPC18:1-2) to PPARγ. The two-step MD simulations were employed to determine the final binding modes. The 20?ns MD simulations for four final LPC-PPARγ complexes were performed to analyze their structures, the binding key residues, and agonism activities. The results reveal that three LPC ligands (LPC16:0, LPC18:0 and LPC18:1-1) bind to Arm II and III regions of the Ligand Binding Domain (LBD) pocket, whereas they do not interact with Tyr473 of Helix 12 (H12). In contrast, LPC18:1-2 can form the hydrogen bonds with Tyr473 and bind into Arm I and II regions. Comparing with the paradigm systems of the full agonist (Rosiglitazone–PPARγ) and the partial agonist (MRL24–PPARγ), our results indicate that LPC16:0, LPC18:0 and LPC18:1-1 could be the potential partial agonists and LPC18:1-2 could be a full agonist. The in-depth analysis of the residue fluctuations and structure alignment confirm the present prediction of the LPC agonism activities.

Communicated by Ramaswamy H. Sarma     

Diabetes: New conductors for the peroxisome proliferator-activated receptor γ (PPARγ) orchestra

The PPARγ nuclear receptor orchestrates fatty acid storage and glucose metabolism by coordinating the expression of genes involved in lipid uptake, adipogenesis and inflammation. It is a target for the insulin-sensitising thiazolidinediones (TZDs) which have been used to treat diabetes since the late nineties. Adverse secondary effects of TZDs have underpinned continued investigations into the molecular details governing PPARγ regulation and new therapeutic approaches which represent the focus of this article. Recent findings position Cdk5 as a lead conductor of PPARγ. Cdk5 regulates PPARγ directly, via phosphorylation, and may also inhibit it indirectly, via phosphorylation and activation of phospholipase D2 (PLD2) which generates the endogenous inhibitor cyclic phosphatidic acid (CPA). Whilst the multifunctional nature of Cdk5 precludes it from therapeutic targeting all is not lost as selective PPARγ modulators (SPPARMs) have shown promising preclinical and clinical results heralding a new generation of drugs to conduct a more refined PPARγ program.     

The influence of peroxisome proliferator-activated receptor γ(1) during differentiation of mouse embryonic stem cells to neural cells

Peroxisome proliferator activated receptor γ, belongs to PPARs, which exerts various metabolic functions including differentiation process. To testify the importance of PPARγ in neural differentiation of mouse embryonic stem cells (mESCs), its expression level was assessed. Data revealed an elevation in expression level of PPARγ when neural precursors (NPs) are formed upon retinoic acid treatment. Thus, involvement of PPARγ in two stages of neural differentiation of mESCs, during and post-NPs formation was examined by application of its agonist and antagonist. Our results indicated that PPARγ inactivation via treatment with GW9662 during NPs formation, reduced expression of neural precursor and neural (neuronal and astrocytes) markers. However, PPARγ inactivation by antagonist treatment post-NPs formation stage only decreased the expression of mature astrocyte marker (Gfap) suggesting that inactivation of PPARγ by antagonist decreased astrocyte differentiation. Here, we have demonstrated the stage dependent role of PPARγ modulation on neural differentiation of mESCs by retinoic acid treatment for the first time.     

Bidirectional fluorescence properties of pyrene-based peroxisome proliferator-activated receptor (PPAR) α/δ dual agonist

Based on X-ray crystallographic analysis of a peroxisome proliferator-activated receptor (PPAR) α/δ dual agonist complexed with human PPARs ligand binding domain (LBD), we previously reported the design and synthesis of a pyrene-based fluorescent PPARα/δ co-agonist 2. Here, we found that the fluorescence intensity of 2 increased upon binding to hPPARα-LBD, in a manner dependent upon the concentration of the LBD. But, surprisingly, the fluorescence intensity of 2 decreased concentration-dependently upon binding to hPPRδ-LBD. Site-directed mutagenesis of the two hPPAR subtypes clearly indicated that Trp264 of hPPARδ-LBD, located between H2' helix and H3 helix (omega loop), is critical for the concentration-dependent decrease in fluorescence intensity, which is suggested to be due to fluorescence resonance energy transfer (FRET) from the pyrene moiety of bound 2 to the nearby side-chain indole moiety of Trp264 in the hPPARδ-LBD.     

Roles for peroxisome proliferator-activated receptor γ (PPARγ) and PPARγ coactivators 1α and 1β in regulating response of white and brown adipocytes to hypoxia

Obese white adipose tissue is hypoxic but is incapable of inducing compensatory angiogenesis. Brown adipose tissue is highly vascularized, facilitating delivery of nutrients to brown adipocytes for heat production. In this study, we investigated the mechanisms by which white and brown adipocytes respond to hypoxia. Brown adipocytes produced lower amounts of hypoxia-inducible factor 1α (HIF-1α) than white adipocytes in response to low O(2) but induced higher levels of hypoxia-associated genes. The response of white adipocytes to hypoxia required HIF-1α, but its presence alone was incapable of inducing target gene expression under normoxic conditions. In addition to the HIF-1α targets, hypoxia also induced many inflammatory genes. Exposure of white adipocytes to a peroxisome proliferator-activated receptor γ (PPARγ) ligand (troglitazone) attenuated induction of these genes but enhanced expression of the HIF-1α targets. Knockdown of PPARγ in mature white adipocytes prevented the usual robust induction of HIF-1α targets in response to hypoxia. Similarly, knockdown of PPARγ coactivator (PGC) 1β in PGC-1α-deficient brown adipocytes eliminated their response to hypoxia. These data demonstrate that the response of white adipocytes requires HIF-1α but also depends on PPARγ in white cells and the PPARγ cofactors PGC-1α and PGC-1β in brown cells.     

Identification of novel PPARγ target genes by integrated analysis of ChIP-on-chip and microarray expression data during adipocyte differentiation

PPARγ (peroxisome proliferator-activated receptor gamma) acts as a key molecule of adipocyte differentiation, and transactivates multiple target genes involved in lipid metabolic pathways. Identification of PPARγ target genes will facilitate to predict the extent to which the drugs can affect and also to understand the molecular basis of lipid metabolism. Here, we have identified five target genes regulated directly by PPARγ during adipocyte differentiation in 3T3-L1 cells using integrated analyses of ChIP-on-chip and expression microarray. We have confirmed the direct PPARγ regulation of five genes by luciferase reporter assay in NIH-3T3 cells. Of these five genes Hp, Tmem143 and 1100001G20Rik are novel PPARγ targets. We have also detected PPREs (PPAR response elements) sequences in the promoter region of the five genes computationally. Unexpectedly, most of the PPREs detected proved to be atypical, suggesting the existence of more atypical PPREs than previously thought in the promoter region of PPARγ regulated genes.     

Angiotensinogen and angiotensin-converting enzyme mRNA decrease and AT1 receptor mRNA and protein increase in epididymal fat tissue accompany age-induced elevation of adiposity and reductions in expression of GLUT4 and peroxisome proliferator-activated receptor (PPARγ)

Elevated adiposity is one of the accompanying features of increased age in humans and animals. Angiotensin II (Ang II) is considered as growth promoting peptide to be involved in hypertrophic enlargement of adipose tissue. However, systemic renin-angiotensin system (RAS) seems to decrease with increased age of rats. Local adipose tissue RAS might be independent of the systemic one. Therefore we performed a comprehensive study using rats with increased age from 9 to 26 weeks and evaluated angiotensinogen, angiotensin-converting enzyme (ACE) and AT(1) receptor mRNA in epididymal adipose tissue by RT-PCR. In addition, we determined AT(1) receptor protein by Western blotting and Ang II binding. These RAS parameters were correlated with expression of selected adiposity-dependent proteins such as leptin, adiponectin, insulin-dependent glucose transporter (GLUT4) and PPARgamma. Angiotensinogen and ACE expression decreased with increased age and adiposity. On the contrary, AT(1) receptor mRNA and protein was significantly elevated in 26-week-old rats though the Ang II binding was not different between 9 and 26-week-old animals. These results suggest dynamic adaptation of local adipose tissue RAS components to increased age and adiposity most likely by decreasing local Ang II formation which is thereafter compensated by increased expression of AT(1) receptor. However, this increase in AT(1) receptor mRNA and protein is not reflected in increased receptor binding. We believe that this complex regulation of adipose tissue RAS slows down the negative age and adiposity related changes in adipose tissue leptin, adiponectin, GLUT4 and PPARgamma.     

Molecular cloning of rat leukemia inhibitory factor receptor α-chain gene and its expression during pregnancy

Leukemia inhibitory factor (LIF) is a secreted glycoprotein and a pluripotent growth factor that acts on diverse cell systems. LIF transmits its effects via binding to transmembrane receptors, of which both high- and low-affinity forms have been identified. In this study, we analyzed the structure and expression of rat LIF receptor α-chain (rLIFRα) cDNA. A full-length clone of the cDNA encoding the membrane-bound form of rLIFRα protein was prepared by a combination of LA-PCR and 5′ RACE using DNA reverse-transcribed from total RNA isolated from the livers of day-12 and day-14 pregnant rats as templates. The nucleotide sequence of a full-length clone was determined and further confirmed by analysis of shorter DNA fragment prepared by PCR using pfu polymerase. The gene for rLIFRα encodes a 1093 amino acid residue protein. The rLIFRα protein shows a high degree of similarity to mouse and human LIF receptor α-chain protein (89% and 76% amino acid sequence identities, respectively). Only one molecular species of mRNA for the rLIFRα gene was detected in the liver and placenta. rLIFRα was expressed in liver of both non-pregnant and pregnant rats. The level of mRNA for the rLIFRα gene in placenta was maximum on day 16 of pregnancy.