Peroxisome proliferator-activated receptor γ decouples fatty acid uptake from lipid inhibition of insulin signaling in skeletal muscle

Peroxisome proliferator-activated receptor γ (PPARγ) is expressed at low levels in skeletal muscle, where it protects against adiposity and insulin resistance via unclear mechanisms. To test the hypothesis that PPARγ directly modulates skeletal muscle metabolism, we created two models that isolate direct PPARγ actions on skeletal myocytes. PPARγ was overexpressed in murine myotubes by adenotransfection and in mouse skeletal muscle by plasmid electroporation. In cultured myotubes, PPARγ action increased fatty acid uptake and incorporation into myocellular lipids, dependent upon a 154 ± 20-fold up-regulation of CD36 expression. PPARγ overexpression more than doubled insulin-stimulated thymoma viral proto-oncogene (AKT) phosphorylation during low lipid availability. Furthermore, in myotubes exposed to palmitate levels that inhibit insulin signaling, PPARγ overexpression increased insulin-stimulated AKT phosphorylation and glycogen synthesis over 3-fold despite simultaneously increasing myocellular palmitate uptake. The insulin signaling enhancement was associated with an increase in activating phosphorylation of phosphoinositide-dependent protein kinase 1 and a normalized expression of palmitate-induced genes that antagonize AKT phosphorylation. In vivo, PPARγ overexpression more than doubled insulin-dependent AKT phosphorylation in lipid-treated mice but did not augment insulin-stimulated glucose uptake. We conclude that direct PPARγ action promotes myocellular storage of energy by increasing fatty acid uptake and esterification while simultaneously enhancing insulin signaling and glycogen formation. However, direct PPARγ action in skeletal muscle is not sufficient to account for the hypoglycemic actions of PPARγ agonists during lipotoxicity.     

Assessment of reproducibility in depletion and enrichment workflows for plasma proteomics using label‐free quantitative data‐independent LC‐MS

Quantitation in plasma‐based proteomics necessitates the reproducible removal of highly abundant proteins to enable the less abundant proteins to be visible to the mass spectrometer. We have evaluated immunodepletion (proteoprep20) and enrichment (Bio‐Rad beads), as the current predominant approaches. Label‐free analysis offers an opportunity to estimate the effectiveness of this approach without incorporating chemical labels. Human plasma samples were used to quantitatively assess the reproducibility of these two methods using nano‐LC‐data‐independent acquisition MS. We have selected 18 candidate proteins and a comparison of both methodologies showed that both of the methods were reproducible and fell below 20% residual SD. With the same candidate proteins, individual inter‐day variability for the samples was also processed, allowing us to monitor instrument reproducibility. Overall, a total of 131 proteins were identified by both methods with 272 proteins identified by enrichment and 200 identified by immunodepletion. Reproducibility of measurements of the amount of protein in the processed sample for individual proteins is within analytically acceptable standards for both methodologies. This enables both methods to be used for biomarker studies. However, when sample is limited, enrichment is not suitable as larger volumes (>1.0 mL) are required. In experiments where sample is not limited then a greater number of proteins can be reliably identified using enrichment.     

The isoflavonoid aglycone-rich fractions of Chungkookjang, fermented unsalted soybeans, enhance insulin signaling and peroxisome proliferator-activated receptor-gamma activity in vitro

We investigated anti-diabetic candidates and their mechanisms from the fractions of Chungkookjang (CKJ), a traditional fermented unsalted soybean, by investigating insulin signaling, peroxisome proliferator-activated receptor (PPAR)-gamma activity and glucose-stimulated insulin secretion, in vitro. Cooked soybeans (CSB) and CKJ, fermented predominantly with Bacillus subtilis, were extracted by 70% EtOH followed by an XAD-4 column chromatography with a serial mixture of solvents comprised of MeOH and water. During fermentation, the contents of isoflavonoid aglycones were elevated, and the fractions enriched with aglycones enhanced insulin-stimulated glucose uptake in 3T3-L1 adipocytes. This increase in glucose uptake resulted from stimulating a translocation of the glucose transporter (GLUT)-4 into the plasma membrane through the phosphorylation of insulin receptor substrate (IRS)-1 and Akt. Especially, daidzein enriched fractions elevated insulin-stimulated glucose uptake by acting as PPAR-gamma agonist up to levels exhibited when 10 nM insulin is administered. Fractions containing small peptides with low polarity in CKJ slightly increased glucose-stimulated insulin secretion. The data suggest that an increase in isoflavonoid aglycones in CKJ, in comparison to CSB, enhances glucose utilization via activating insulin signaling and stimulates PPAR-gamma activity in adipocytes. In addition, CKJ contains small peptides improving glucose-stimulated insulin secretion in insulinoma cells. Overall, CKJ is superior to CSB in anti-diabetic action.     

Proteome analysis of adipocyte lipid rafts reveals that gC1qR plays essential roles in adipogenesis and insulin signal transduction

Since insulin receptors and their downstream signaling molecules are organized in lipid rafts, proteomic analysis of adipocyte lipid rafts may provide new insights into the function of lipid rafts in adipogenesis and insulin signaling. To search for proteins involved in adipocyte differentiation and insulin signaling, we analyzed detergent‐resistant lipid raft proteins from 3T3‐L1 preadipocytes and adipocytes by 2‐DE. Eleven raft proteins were identified from adipocytes. One of the adipocyte‐specific proteins was globular C1q receptor (gC1qR), an acidic 32 kDa protein known as the receptor for the globular domain of complement C1q. The targeting of gC1qR into lipid rafts was significantly increased during adipogenesis, as determined by immunoblotting and immunofluorescence. Since the silencing of gC1qR by small RNA interference abolished adipogenesis and blocked insulin‐induced activation of insulin receptor, insulin receptor substrate‐1 (IRS‐1), Akt, and Erk1/2, we can conclude that gC1qR is an essential molecule involved in adipogenesis and insulin signaling.     

Reduced Expression of FOXC2 and Brown Adipogenic Genes in Human Subjects with Insulin Resistance

Objective: We investigated subcutaneous adipose tissue expression of FOXC2 and selected genes involved in brown adipogenesis in adult human subjects in whom we have previously identified a reduced potential of precursor cell commitment to adipose‐lineage differentiation in relation to insulin resistance. Research Methods and Procedure: Gene expression was studied using quantitative real time polymerase chain reaction. The relation between the expression of brown adipogenic genes and the genes involved in progenitor cell commitment, adipose cell size, and insulin sensitivity in vivo was analyzed. Results: The expression of FOXC2, MASK, MAP3K5, retinoblastoma protein (pRb), peroxisome proliferator‐activated protein gamma (PPARγ), and retinoid X receptor gamma (RXRγ) was decreased in the insulin‐resistant compared with insulin‐sensitive subjects, whereas PPARγ‐2 and CCAAT/enhancer binding protein alpha (C/EBPα) showed no differential expression. The FOXC2 expression correlated with that of Notch and Wnt signaling genes, as well as of the genes studied participating in brown adipogenesis, including MASK, MAP3K5, PPARγ, pRb, RXRγ, and PGC‐1. A second‐level correlation between PPARγ and UCP‐1 was also significant. In addition, the expression of MASK, MAP3K5, pRb, RXRγ, and PGC‐1 inversely correlated with adipose cell mass and also correlated with the glucose disposal rate in vivo. Discussion: Our results suggest that a reduced brown adipose phenotype is associated with insulin resistance and that a basal brown adipose phenotype may be important for maintaining normal insulin sensitivity.     

Analytical comparison of absolute quantification strategies to investigate the insulin signaling pathway in fat cells

So far, mass spectrometry-based targeted proteomics is the most sensitive approach to answer and address specific biological questions in an accurate and quantitative fashion. However, the data analysis design used for such quantification varies in the field leading to discrepancies in the reported values. In this study, different quantification strategies based on calibration curves were evaluated and compared. The best accuracy and coefficient of variation was achieved by ratio to ratio calibration curves. We applied the ratio to ratio quantification approach to analyze very low abundant insulin signaling proteins such as PIK3RA (0.10–0.93 fmol/μg), AKT1 (0.1–0.39 fmol/μg), and the insulin receptor (0.22–2.62 fmol/μg) in a fat cell model and demonstrated the adaptation of this pathway at different states of insulin sensitivity.     

Systems‐level interactions between insulin–EGF networks amplify mitogenic signaling

Crosstalk mechanisms have not been studied as thoroughly as individual signaling pathways. We exploit experimental and computational approaches to reveal how a concordant interplay between the insulin and epidermal growth factor (EGF) signaling networks can potentiate mitogenic signaling. In HEK293 cells, insulin is a poor activator of the Ras/ERK (extracellular signal‐regulated kinase) cascade, yet it enhances ERK activation by low EGF doses. We find that major crosstalk mechanisms that amplify ERK signaling are localized upstream of Ras and at the Ras/Raf level. Computational modeling unveils how critical network nodes, the adaptor proteins GAB1 and insulin receptor substrate (IRS), Src kinase, and phosphatase SHP2, convert insulin‐induced increase in the phosphatidylinositol‐3,4,5‐triphosphate (PIP₃) concentration into enhanced Ras/ERK activity. The model predicts and experiments confirm that insulin‐induced amplification of mitogenic signaling is abolished by disrupting PIP₃‐mediated positive feedback via GAB1 and IRS. We demonstrate that GAB1 behaves as a non‐linear amplifier of mitogenic responses and insulin endows EGF signaling with robustness to GAB1 suppression. Our results show the feasibility of using computational models to identify key target combinations and predict complex cellular responses to a mixture of external cues.     

PAPP‐A: a promising therapeutic target for healthy longevity

Pregnancy‐associated plasma protein‐A (PAPP‐A) is a proteolytic enzyme that was discovered to increase local insulin‐like growth factor (IGF) availability for receptor activation through cleavage of inhibitory IGF binding proteins (IGFBPs). Reduced IGF signaling has been associated with increased lifespan and healthspan. Therefore, inhibition of PAPP‐A represents a novel approach to indirectly decrease the availability of bioactive IGF. Here, we will review data in support of PAPP‐A as a therapeutic target to promote healthy longevity.     

Absolute Quantification of All Identified Plasma Proteins from SWATH Data for Biomarker Discovery

The current state of proteomics requires a choice between targeted and global discovery methods. A method, that combines targeted and data‐independent acquisition for absolute quantification of all identified plasma proteins, in a single sequential window acquisition of all theoretical fragment ions (SWATH) acquisition run, using a panel of spike‐in standards (SIS), is established and optimized. The absolute quantification (AQ) of SWATH and multiple‐reaction monitoring‐high resolution (MRM‐HR) acquisition methods are compared using the 100 protein PlasmaDive SIS panel spiked into non‐depleted human plasma. SWATH provides equivalent quantification and differentially abundant protein profiles as MRM‐HR. Absolute quantities of the SIS peptides from the SWATH data are used to estimate the absolute quantities (eAQ) for all the proteins in the run. The eAQ values provide similar quantification and differentially abundant protein profiles as AQ and protein area (PA) values. As a proof‐of‐concept, the eAQ method is applied to 12 plasma samples from six non‐small cell lung cancer (NSCLC) patients and the performance of eAQ values versus peak area quantification is evaluated. There is a strong correlation between AQ and peak area ratios producing significant overlap of differentially abundant proteins. This eAQ method can provide quantitative data equivalent to AQ or peak area values.     

Revealing a steroid receptor ligand as a unique PPARγ agonist

Peroxisome proliferator-activated receptor gamma (PPARγ) regulates metabolic homeostasis and is a molecular target for anti-diabetic drugs. We report here the identification of a steroid receptor ligand, RU-486, as an unexpected PPARγ agonist, thereby uncovering a novel signaling route for this steroid drug. Similar to rosiglitazone, RU-486 modulates the expression of key PPARγ target genes and promotes adipocyte differentiation, but with a lower adipogenic activity. Structural and functional studies of receptor-ligand interactions reveal the molecular basis for a unique binding mode for RU-486 in the PPARγ ligand-binding pocket with distinctive properties and epitopes, providing the molecular mechanisms for the discrimination of RU-486 from thiazolidinediones (TZDs) drugs. Our findings together indicate that steroid compounds may represent an alternative approach for designing non-TZD PPARγ ligands in the treatment of insulin resistance.     

High‐fat Diet Followed by Fasting Disrupts Circadian Expression of Adiponectin Signaling Pathway in Muscle and Adipose Tissue

The circadian clock controls energy homeostasis by regulating circadian expression of proteins involved in metabolism. Disruption of circadian rhythms leads to obesity and metabolic disorders. Little is known regarding the control of the biological clock over adiponectin signaling pathway in adipose tissue, the adiponectin producer, and muscle, an adiponectin target tissue under fasting, low‐fat (LF), or high‐fat (HF) diet. Mice were fed LF or HF diet for 7 weeks and fasted on the last day. The circadian mRNA expression of clock genes and components of adiponectin metabolic pathway (mAdipoR1, mAdipoR2, mPparα, mPparγ, mAmpk, and mAcc) in the muscle and adipose tissue were tested. Using average daily levels of multiple time points around the circadian cycle, we assessed mRNA levels of the different adiponectin signaling components. In addition, serum glucose, adiponectin, and insulin were measured. Under LF diet, adiponectin signaling pathway components exhibited circadian rhythmicity at the mRNA levels. Fasting and HF diet followed by fasting disrupted this circadian expression causing a phase advance or delay, respectively. Changes were also found in the expression levels of adiponectin receptor, mAmpk, mAcc, mPparα, and mPparγ reflecting a defect in adiponectin signaling. As both peroxisome proliferator‐activated receptor α (PPARα) and mAMPK are linked to the core clock mechanism, they could mediate the disruptions seen in clock gene expression under HF diet. In turn, the circadian clock affects the daily rhythm of these adiponectin signaling components.