Effects of gp130 cytokines on adipocytes

Members of the gp130 cytokine family are known for their pleiotropic roles in various cell types. Our work has focused on their actions in adipocytes. CNTF administration has been shown to ameliorate most complications associated with obesity and type 2 diabetes through an unknown mechanism. In this study CNTF is shown to activate JAK/STAT and MAPK signaling, both in vitro and in vivo. In 3T3-L1 adipocytes, chronic CNTF also regulates the expression of SREBP-1, FAS, IRS-1 and GLUT4. Acute CNTF administration enhances the activation of IRS-1 and Akt by insulin. Our data also demonstrate that the expression of CNTF-specific receptor, CNTFRalpha, is decreased during adipocyte differentiation, but that this protein is expressed in several other tissues, and the level of CNTFRalpha glycosylation varies between different tissues. Most importantly, the expression of CNTFRalpha is dramatically increased in the fat pads of obese and diabetic animals. Even though CT-1 is mostly known for its actions in cardiomyocytes, the work presented demonstrates that, in fat cells, CT-1 can potently induce JAK/STAT and MAPK signaling. Neither CT-1 nor CNTF affected adipocyte differentiation, but chronic CT-1 did induce a decrease in FAS and IRS-1 protein expression. Both CNTF and CT-1 also induced a transient increase in SOCS-3 and a transient decrease in PPARgamma mRNA levels, in a MAPK-independent manner. Our studies also demonstrate that several gp130 cytokines, namely CT-1, LIF and OSM, have the ability to block signaling by other gp130 cytokines, but not GH. These cytokines can also dramatically reduce the half-life of LIFR protein in adipocytes, and this change in LIFR stability correlates with the ability of CT-1, LIF and OSM, to block subsequent gp130 cytokine signaling. The loss of LIFR protein can be prevented by the lysosome inhibitors leupeptin and chloroquine, but not by proteasome inhibitors. In summary, these studies demonstrate than gp130 cytokines have a wide spectrum of effects on both cultured and native adipocytes, and that their actions may be important in various aspects of adipocyte physiology

Digital Signal Processing Reveals Circadian Baseline Oscillation in Majority of Mammalian Genes

In mammals, circadian periodicity has been described for gene expression in the hypothalamus and multiple peripheral tissues. It is accepted that 10%–15% of all genes oscillate in a daily rhythm, regulated by an intrinsic molecular clock. Statistical analyses of periodicity are limited by the small size of datasets and high levels of stochastic noise. Here, we propose a new approach applying digital signal processing algorithms separately to each group of genes oscillating in the same phase. Combined with the statistical tests for periodicity, this method identifies circadian baseline oscillation in almost 100% of all expressed genes. Consequently, circadian oscillation in gene expression should be evaluated in any study related to biological pathways. Changes in gene expression caused by mutations or regulation of environmental factors (such as photic stimuli or feeding) should be considered in the context of changes in the amplitude and phase of genetic oscillations

Fine-Tuning Reception in the Bone: PPARγ and Company

PPARγ plays a central role in the formation of fat. Regulation of PPARγ activity depends on numerous factors ranging from dietary ligands to nuclear hormone coactivators and corepressors to oxygen-sensing mechanisms. In addition, the interplay of PPARγ with other nuclear hormone receptors has implications for the balance between adipogenesis and osteogenesis in mesenchymal stem cells of the bone marrow stroma. This review will explore a range of factors influencing PPARγ activity and how these interactions may affect osteogenesis

Permutation test for periodicity in short time series data

Abstract Background Periodic processes, such as the circadian rhythm, are important factors modulating and coordinating transcription of genes governing key metabolic pathways. Theoretically, even small fluctuations in the orchestration of circadian gene expression patterns among different tissues may result in functional asynchrony at the organism level and may contribute to a wide range of pathologic disorders. Identification of circadian expression pattern in time series data is important, but equally challenging. Microarray technology allows estimation of relative expression of thousands of genes at each time point. However, this estimation often lacks precision and microarray experiments are prohibitively expensive, limiting the number of data points in a time series expression profile. The data produced in these experiments carries a high degree of stochastic variation, obscuring the periodic pattern and a limited number of replicates, typically covering not more than two complete periods of oscillation. Results To address this issue, we have developed a simple, but effective, computational technique for the identification of a periodic pattern in relatively short time series, typical for microarray studies of circadian expression. This test is based on a random permutation of time points in order to estimate non-randomness of a periodogram. The Permutated time, or Pt-test, is able to detect oscillations within a given period in expression profiles dominated by a high degree of stochastic fluctuations or oscillations of different irrelevant frequencies. We have conducted a comprehensive study of circadian expression on a large data set produced at PBRC, representing three different peripheral murine tissues. We have also re-analyzed a number of similar time series data sets produced and published independently by other research groups over the past few years. Conclusion The Permutated time test (Pt-test) is demonstrated to be effective for detection of periodicity in short time series typical for high-density microarray experiments. The software is a set of C++ programs available from the authors on the open source basis.</p

The regulation and activation of ciliary neurotrophic factor signaling proteins in adipocytes

Ciliary neurotrophic factor (CNTF) is primarily known for its roles as a lesion factor released by the ruptured glial cells that prevent neuronal degeneration. However, CNTF has also been shown to cause weight loss in a variety of rodent models of obesity/type II diabetes, whereas a modified form also causes weight loss in humans. CNTF administration can correct or improve hyperinsulinemia, hyperphagia, and hyperlipidemia associated with these models of obesity. In order to investigate the effects of CNTF on fat cells, we examined the expression of CNTF receptor complex proteins (LIFR, gp130, and CNTFRα) during adipocyte differentiation and the effects of CNTF on STAT, Akt, and MAPK activation. We also examined the ability of CNTF to regulate the expression of adipocyte transcription factors and other adipogenic proteins. Our studies clearly demonstrate that the expression of two of the three CNTF receptor complex components, CNTFRα and LIFR, decreases during adipocyte differentiation. In contrast, gp130 expression is relatively unaffected by differentiation. In addition, preadipocytes are more sensitive to CNTF treatment than adipocytes, as judged by both STAT 3 and Akt activation. Despite decreased levels of CNTFRα expression in fully differentiated 3T3-L1 adipocytes, CNTF treatment of these cells resulted in a time-dependent activation of STAT 3. Chronic treatment of adipocytes resulted in a substantial decrease in fatty-acid synthase and a notable decline in SREBP-1 levels but had no effect on the expression of peroxisome proliferator-activated receptor γ, acrp30, adipocyte-expressed STAT proteins, or C/EBPa. However, CNTF resulted in a significant increase in IRS-1 expression. CNTFRα receptor expression was substantially induced in the fat pads of four rodent models of obesity/type II diabetes as compared with lean littermates. Moreover, we demonstrated that CNTF can activate STAT 3 in adipose tissue and skeletal muscle in vivo. In summary, CNTF affects adipocyte gene expression, and the specific receptor for this cytokine is induced in rodent models of obesity/type II diabetes

Cross-talk among gp130 cytokines in adipocytes

The interleukin-6 (IL-6) family of cytokines is a family of structurally and functionally related proteins, including IL-6, IL-11, leukemia inhibitory factor (LIF), oncostatin M (OSM), ciliary neurotrophic factor (CNTF), and cardiotrophin-1 (CT-1). These proteins are also known as gp130 cytokines because they all share gp130 as a common transducer protein within their functional receptor complexes. Several of these cytokines (LIF, OSM, CNTF, and CT-1) also utilize the LIF receptor (LIFR) as a component of their receptor complex. We have shown that all of these cytokines are capable of activating both the JAK/STAT and p42/44 mitogen-activated protein kinase signaling pathways in 3T3-L1 adipocytes. By performing a variety of preincubation studies and examining the ability of these cytokines to activate STATs, ERKs, and induce transcription of SOCS-3 mRNA, we have also examined the ability of gp130 cytokines to modulate the action of their family members. Our results indicate that a subset of gp130 cytokines, in particular CT-1, LIF, and OSM, has the ability to impair subsequent signaling activity initiated by gp130 cytokines. However, IL-6 and CNTF do not exhibit this cross-talk ability. Moreover, our results indicate that the cross-talk among gp130 cytokines is mediated by the ability of these cytokines to induce ligand-dependent degradation of the LIFR, in a proteasome-independent manner, which coincides with decreased levels of LIFR at the plasma membrane. In summary, our results demonstrate that an inhibitory cross-talk among specific gp130 cytokines in 3T3-L1 adipocytes occurs as a result of specific degradation of LIFR via a lysosome-mediated pathway. © 2005 by The American Society for Biochemistry and Molecular Biology, Inc

Effects of cardiotrophin on adipocytes

Cardiotrophin (CT-1) is a naturally occurring protein member of the interleukin (IL)-6 cytokine family and signals through the gp130/leukemia inhibitory factor receptor (LIFR) heterodimer. The formation of gp130/ LIFR complex triggers the auto/trans-phosphorylation of associated Janus kinases, leading to the activation of Janus kinase/STAT and MAPK (ERK1 and -2) signaling pathways. Since adipocytes express both gp130 and LIFR proteins and are responsive to other IL-6 family cytokines, we examined the effects of CT-1 on 3T3-L1 adipocytes. Our studies have shown that CT-1 administration results in a dose- and time-dependent activation and nuclear translocation of STAT1, -3, -5A, and -5B as well as ERK1 and -2. We also confirmed the ability of CT-1 to induce signaling in fat cells in vivo. Our studies revealed that neither CT-1 nor ciliary neurotrophic factor treatment affected adipocyte differentiation. However, acute CT-1 treatment caused an increase in SOCS-3 mRNA in adipocytes and a transient decrease in peroxisome proliferator-activated receptor γ (PPARγ) mRNA that was regulated by the binding of STAT1 to the PPARγ2 promoter. The effects of CT-1 on SOCS-3 and PPARγ mRNA were independent of MAPK activation. Chronic administration of CT-1 to 3T3-L1 adipocytes resulted in a decrease of both fatty acid synthase and insulin receptor substrate-1 protein expression yet did not effect the expression of a variety of other adipocyte proteins. Moreover, chronic CT-1 treatment resulted in the development of insulin resistance as judged by a decrease in insulin-stimulated glucose uptake. In summary, CT-1 is a potent regulator of signaling in adipocytes in vitro and in vivo, and our current efforts are focused on determining the role of this cardioprotective cytokine on adipocyte physiology

Circadian Clocks Are Resounding in Peripheral Tissues

Circadian rhythms are prevalent in most organisms. Even the smallest disturbances in the orchestration of circadian gene expression patterns among different tissues can result in functional asynchrony, at the organism level, and may to contribute to a wide range of physiologic disorders. It has been reported that as many as 5%–10% of transcribed genes in peripheral tissues follow a circadian expression pattern. We have conducted a comprehensive study of circadian gene expression on a large dataset representing three different peripheral tissues. The data have been produced in a large-scale microarray experiment covering replicate daily cycles in murine white and brown adipose tissues as well as in liver. We have applied three alternative algorithmic approaches to identify circadian oscillation in time series expression profiles. Analyses of our own data indicate that the expression of at least 7% to 21% of active genes in mouse liver, and in white and brown adipose tissues follow a daily oscillatory pattern. Indeed, analysis of data from other laboratories suggests that the percentage of genes with an oscillatory pattern may approach 50% in the liver. For the rest of the genes, oscillation appears to be obscured by stochastic noise. Our phase classification and computer simulation studies based on multiple datasets indicate no detectable boundary between oscillating and non-oscillating fractions of genes. We conclude that greater attention should be given to the potential influence of circadian mechanisms on any biological pathway related to metabolism and obesity

Growth hormone, but not insulin, activates STAT5 proteins in adipocytes in vitro and in vivo

STAT 5 proteins are latent transcription factors which have been shown to be activated by growth hormone (GH) in many cell types. However, some recent studies also suggest that STAT 5B is a physiological substrate of the insulin receptor. In our studies, we have shown that physiological levels of insulin do not induce STAT 5 tyrosine phosphorylation or affect the nuclear distribution of STATs 5A or 5B in 3T3-L1 adipocytes. Moreover, we did not observe the activation of STAT 5 in the adipose tissue or skeletal muscle of mice following an acute intraperitoneal injection of insulin. However, acute GH administration, both in vitro and in vivo, resulted in the activation of STAT 5 proteins. In summary, our results indicate that STAT 5 proteins are not activated by physiological levels of insulin in adipose tissue