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| 3. |
- Bronnikov, Gennady, 1950-, et al.
(author)
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Acute effects of insulin on the activity of mitochondrial GPAT1 in primary adipocytes
- 2008
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In: Biochemical and Biophysical Research Communications - BBRC. - : Elsevier BV. - 0006-291X .- 1090-2104. ; 367:1, s. 201-207
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Journal article (peer-reviewed)abstract
- The mitochondrial enzyme 1-acyl-sn-glycerol-3-phosphate acyltransferase (mtGPAT1) catalyzes a rate-limiting step in triacylglycerol and glycerophospholipid biosynthesis, which can be modulated by protein kinases in cell free analyses. We report that treatment of primary rat adipocytes with insulin acutely affects the activity of mtGPAT1 by increasing VMAX and KM for the substrates glycerol-3-phosphate and palmitoyl-CoA. Proteolytic cleavage of isolated mitochondrial membranes and mass spectrometric peptide sequencing identify in vivo phosphorylation of serine 632 and serine 639 in mtGPAT1. These phosphorylation sites correspond to casein kinase-2 consensus sequences and are highly conserved in chordate animal, but not fly, fungal or plant, mtGPAT1. © 2007 Elsevier Inc. All rights reserved.
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| 4. |
- Gustavsson, Johanna, 1956-, et al.
(author)
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Localization of the insulin receptor in caveolae of adipocyte plasma membrane
- 1999
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In: The FASEB Journal. - 0892-6638 .- 1530-6860. ; 13:14, s. 1961-1971
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Journal article (peer-reviewed)abstract
- The insulin receptor is a transmembrane protein of the plasma membrane, where it recognizes extracellular insulin and transmits signals into the cellular signaling network. We report that insulin receptors are localized and signal in caveolae microdomains of adipocyte plasma membrane. Immunogold electron microscopy and immunofluorescence microscopy show that insulin receptors are restricted to caveolae and are colocalized with caveolin over the plasma membrane. Insulin receptor was enriched in a caveolae-enriched fraction of plasma membrane. By extraction with β-cyclodextrin or destruction with cholesterol oxidase, cholesterol reduction attenuated insulin receptor signaling to protein phosphorylation or glucose transport. Insulin signaling was regained by spontaneous recovery or by exogenous replenishment of cholesterol. β-Cyclodextrin treatment caused a nearly complete annihilation of caveolae invaginations as examined by electron microscopy. This suggests that the receptor is dependent on the caveolae environment for signaling. Insulin stimulation of cells prior to isolation of caveolae or insulin stimulation of the isolated caveolae fraction increased tyrosine phosphorylation of the insulin receptor in caveolae, demonstrating that insulin receptors in caveolae are functional. Our results indicate that insulin receptors are localized to caveolae in the plasma membrane of adipocytes, are signaling in caveolae, and are dependent on caveolae for signaling.
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| 5. |
- Johansson, Rikard, 1982-
(author)
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Model-Based Hypothesis Testing in Biomedicine : How Systems Biology Can Drive the Growth of Scientific Knowledge
- 2017
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Doctoral thesis (other academic/artistic)abstract
- The utilization of mathematical tools within biology and medicine has traditionally been less widespread compared to other hard sciences, such as physics and chemistry. However, an increased need for tools such as data processing, bioinformatics, statistics, and mathematical modeling, have emerged due to advancements during the last decades. These advancements are partly due to the development of high-throughput experimental procedures and techniques, which produce ever increasing amounts of data. For all aspects of biology and medicine, these data reveal a high level of inter-connectivity between components, which operate on many levels of control, and with multiple feedbacks both between and within each level of control. However, the availability of these large-scale data is not synonymous to a detailed mechanistic understanding of the underlying system. Rather, a mechanistic understanding is gained first when we construct a hypothesis, and test its predictions experimentally. Identifying interesting predictions that are quantitative in nature, generally requires mathematical modeling. This, in turn, requires that the studied system can be formulated into a mathematical model, such as a series of ordinary differential equations, where different hypotheses can be expressed as precise mathematical expressions that influence the output of the model.Within specific sub-domains of biology, the utilization of mathematical models have had a long tradition, such as the modeling done on electrophysiology by Hodgkin and Huxley in the 1950s. However, it is only in recent years, with the arrival of the field known as systems biology that mathematical modeling has become more commonplace. The somewhat slow adaptation of mathematical modeling in biology is partly due to historical differences in training and terminology, as well as in a lack of awareness of showcases illustrating how modeling can make a difference, or even be required, for a correct analysis of the experimental data.In this work, I provide such showcases by demonstrating the universality and applicability of mathematical modeling and hypothesis testing in three disparate biological systems. In Paper II, we demonstrate how mathematical modeling is necessary for the correct interpretation and analysis of dominant negative inhibition data in insulin signaling in primary human adipocytes. In Paper III, we use modeling to determine transport rates across the nuclear membrane in yeast cells, and we show how this technique is superior to traditional curve-fitting methods. We also demonstrate the issue of population heterogeneity and the need to account for individual differences between cells and the population at large. In Paper IV, we use mathematical modeling to reject three hypotheses concerning the phenomenon of facilitation in pyramidal nerve cells in rats and mice. We also show how one surviving hypothesis can explain all data and adequately describe independent validation data. Finally, in Paper I, we develop a method for model selection and discrimination using parametric bootstrapping and the combination of several different empirical distributions of traditional statistical tests. We show how the empirical log-likelihood ratio test is the best combination of two tests and how this can be used, not only for model selection, but also for model discrimination.In conclusion, mathematical modeling is a valuable tool for analyzing data and testing biological hypotheses, regardless of the underlying biological system. Further development of modeling methods and applications are therefore important since these will in all likelihood play a crucial role in all future aspects of biology and medicine, especially in dealing with the burden of increasing amounts of data that is made available with new experimental techniques.
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| 6. |
- Karlsson, Cecilia, 1983-
(author)
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Insulin Signalling in Human Adipocytes and its Interplay with beta-Adrenergic Control of Lipolysis
- 2018
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Doctoral thesis (other academic/artistic)abstract
- The prevalence of obesity has over the last 40 years nearly tripled and obesity is one of the major risk factors of developing type 2 diabetes. Type 2 diabetes was formerly called adultonset diabetes but today, probably due to the rise in childhood obesity, it is also seen in children and adolescents. Type 2 diabetes is diagnosed when the body no longer can control the glucose levels in the blood. This is due to an insulin resistant state in the insulin responding tissues, liver, adipose and muscle and insufficient production of insulin in the pancreas. However, in spite of extensive research the mechanisms behind insulin resistance is still not known.The adipose tissue is believed to play a major role in the development of whole body insulin resistance. Adipocytes are the most important sites for storage of the high energy containing triacylglycerols. Insulin stimulation causes the adipocyte to increase the uptake of glucose and to reduce lipolysis: the hydrolysis of triacylglycerol and release of glycerol and fatty acids. The insulin signalling network is complex with numerous proteins involved. These signaling proteins not only transmit the insulin signal but also create negative and positive feedbackloops and induce cross talk between different parts of the network and with the signalling of other hormones. One important positive feedback in insulin signalling is the mTORC1 mediated feedback to phosphorylation of IRS1 at serine 307. In paper I we found that in human adipocytes this feedback is not likely catalysed by the assumed kinase S6K1. However we find an immunoprecipitate of mTOR to contain a ser307 phosphorylating kinase.Scaffolding proteins serve as docking sites for several proteins to promote protein-protein interactions that facilitate signal transduction. In paper II we demonstrate the existence of the scaffolding protein IQGAP1 in human adipocytes and that the expression of IQGAP1 is downregulated in type 2 diabetes. We reveal that IQGAP1 co-localises with caveolae, invaginations of the plasma membrane where the insulin receptor is situated, and that this interaction is increased upon insulin stimulation.In paper III we focus on the control of lipolysis, and sought to understand the interplay between insulin and beta-adrenergic stimulation. We demonstrated that the re-esterification of fatty acids is downregulated in type 2 diabetes causing an increased release of fatty acids from the cells. We showed that beta-adrenergic stimulation with isoproterenol induced a negative feedback via PKA/Epac1 -> PI3K -> PKB -> PDE3B that reduced the cAMP levels and thereby also reduced lipolysis. We also showed that insulin, in addition to its well-known anti-lipolytic effect, at high concentrations had a positive effect on lipolysis. In conclusion we reveal an intricate control of the stimulation as well as the inhibition of lipolysis induced by both isoproterenol and insulin.
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| 7. |
- Karlsson, Margareta, 1942-, et al.
(author)
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Colocalization of insulin receptor and insulin receptor substrate-1 to caveolae in primary human adipocytes
- 2004
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In: European Journal of Biochemistry. - : Wiley. - 0014-2956 .- 1432-1033. ; 271:12, s. 2471-2479
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Journal article (peer-reviewed)abstract
- Caveolae are plasma membrane invaginations with several functions, one of which appears to be to organize receptor mediated signalling. Here we report that in primary human subcutaneous adipocytes the insulin receptor was localized to caveolae by electron microscopy/immunogold detection and by isolating caveolae from plasma membranes. Part of insulin receptor substrate 1 (IRS1), the immediate downstream signal mediator, was colocalized with the insulin receptor in the plasma membrane and caveolae, as demonstrated by immunofluorescence microscopy, immunogold electron microscopy, and immunogold electron microscopy of transfected recombinant HA-IRS1. In contrast, rat epididymal adipocytes lacked IRS1 at the plasma membrane. Depletion of cholesterol from the cells using β-cyclodextrin blocked insulin stimulation of glucose uptake, insulin inhibition of perilipin phosphorylation in response to isoproterenol, and insulin stimulation of protein kinase B and Map-kinases extracellular signal-related kinase (ERK)1/2 phosphorylation. Insulin-stimulated phosphorylation of the insulin receptor and IRS1 was not affected, indicating that caveolae integrity is required downstream of IRS1. In conclusion we show that insulin receptor and IRS1 are both caveolar proteins and that caveolae are required for both metabolic and mitogenic control in human adipocytes. Our results establish caveolae as foci of insulin action and stress the importance of examining human cells in addition to animal cells and cell lines.
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| 8. |
- Karlsson, Margareta, 1942-, et al.
(author)
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Insulin induces translocation of glucose transporter GLUT4 to plasma membrane caveolae in adipocytes
- 2002
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In: The FASEB Journal. - : Wiley. - 0892-6638 .- 1530-6860. ; 16:2, s. 249-251
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Journal article (peer-reviewed)abstract
- Insulin-stimulated glucose uptake in muscle and adipose tissue is the result of translocation of insulin-regulated glucose transporters (GLUT4) from intracellular vesicles to the plasma membrane. Here we report that GLUT4 in the plasma membrane of 3T3-L1 adipocytes were located predominantly in caveolae invaginations: by immunogold electron microscopy of plasma membranes, 88% of GLUT4 were localized to caveolae structures and this distribution within the plasma membrane was not affected by insulin. By immunofluorescence microscopy, a major part of GLUT 4 was colocalized with caveolin. The total amount of GLUT4 in the plasma membrane increased 2.2-fold in response to insulin as determined by immunogold electron or immunofluorescence microscopy. GLUT4 were enriched in caveolae fractions isolated without detergents from plasma membranes of rat adipocytes. In these fractions, GLUT4 were largely confined to caveolin-containing membranes of the caveolae preparation isolated from insulin-stimulated cells, determined by electron microscopy. Insulin increased the amount of GLUT4 2.7-fold in this caveolae fraction. Caveolae were purified further by immunoisolation with antibodies against caveolin. The amount of GLUT4 increased to the same extent in the immunopurified caveolae as in the cruder caveolae fractions from insulin-stimulated cells. We conclude that insulin induces translocation of GLUT4 to caveolae.
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| 9. |
- Lystedt, Erika, 1978-, et al.
(author)
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Subcutaneous adipocytes from obese hyperinsulinemic women with polycystic ovary syndrome exhibit normal insulin sensitivity but reduced maximal insulin responsiveness
- 2005
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In: European Journal of Endocrinology. - : Bioscientifica. - 0804-4643 .- 1479-683X. ; 153:6, s. 831-835
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Journal article (peer-reviewed)abstract
- Background: Polycystic ovary syndrome (PCOS) has a high prevalence in women and is often associated with insulin resistance and hence with aspects of the so-called metabolic syndrome.Methods: Ten women diagnosed with PCOS were consecutively included (aged 21-39 years, average 30.2 +/- 1.9 years: body mass index 28.4-42.5 kg/m(2), average 37.5 +/- 1.7 kg/m(2) (mean +/- S.E.)). Adipocytes were isolated from the subcutaneous fat and, after overnight incubation to recover from insulin resistance due to the surgical cell isolation procedures, they were analyzed for insulin sensitivity.Results: The patients with PCOS exhibited marked clinical hyperinsulinemia with 3.6-fold higher blood levels of C-peptide than a healthy lean control group (1.7 +/- 0.2 and 0.5 +/- 0.02 nmol/l respectively, P < 0.0001). The patients with PCOS also exhibited 2.4-fold higher concentrations of serum triacylglycerol (2.1 +/- 0.3 and 0.9 +/- 0.06 mmol/l respectively, P < 0.0001), but only slightly elevated blood pressure (118 +/- 12/76 +/- 6 and 113 +/- 7/72 +/- 6 mmHg respectively, P = 0.055/0.046). However, insulin sensitivity for stimulation of glucose transport in the isolated adipocytes was indistinguishable from a non-PCOS, non-diabetic control group, while the maximal insulin effect on glucose uptake was significantly lower (2.2 +/- 0.2- and 3.8 +/- 0.8-fold respectively, P = 0.02).Conclusions: Subcutaneous adipocytes from patients with PCOS do not display reduced insulin sensitivity. The findings show that the insulin resistance of PCOS is qualitatively different from that of type 2 diabetes.
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| 10. |
- Lövfors, William, 1991-, et al.
(author)
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A systems biology analysis of lipolysis and fatty acid release from adipocytes in vitro and from adipose tissue in vivo
- 2021
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In: PLOS ONE. - San Fransisco, United States : Public Library of Science. - 1932-6203. ; 16:12
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Journal article (peer-reviewed)abstract
- Lipolysis and the release of fatty acids to supply energy fuel to other organs, such as between meals, during exercise, and starvation, are fundamental functions of the adipose tissue. The intracellular lipolytic pathway in adipocytes is activated by adrenaline and noradrenaline, and inhibited by insulin. Circulating fatty acids are elevated in type 2 diabetic individuals. The mechanisms behind this elevation are not fully known, and to increase the knowledge a link between the systemic circulation and intracellular lipolysis is key. However, data on lipolysis and knowledge from in vitro systems have not been linked to corresponding in vivo data and knowledge in vivo. Here, we use mathematical modelling to provide such a link. We examine mechanisms of insulin action by combining in vivo and in vitro data into an integrated mathematical model that can explain all data. Furthermore, the model can describe independent data not used for training the model. We show the usefulness of the model by simulating new and more challenging experimental setups in silico, e.g. the extracellular concentration of fatty acids during an insulin clamp, and the difference in such simulations between individuals with and without type 2 diabetes. Our work provides a new platform for model-based analysis of adipose tissue lipolysis, under both non-diabetic and type 2 diabetic conditions.
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