Joan J. Guinovart

Mechanism suppressing glycogen synthesis in neurons and its demise in progressive myoclonus epilepsy

Glycogen synthesis is normally absent in neurons. However, inclusion bodies resembling abnormal glycogen accumulate in several neurological diseases, particularly in progressive myoclonus epilepsy or Lafora disease. We show here that mouse neurons have the enzymatic machinery for synthesizing glycogen, but that it is suppressed by retention of muscle glycogen synthase (MGS) in the phosphorylated, inactive state. This suppression was further ensured by a complex of laforin and malin, which are the two proteins whose mutations cause Lafora disease. The laforin-malin complex caused proteasome-dependent degradation both of the adaptor protein targeting to glycogen, PTG, which brings protein phosphatase 1 to MGS for activation, and of MGS itself. Enforced expression of PTG led to glycogen deposition in neurons and caused apoptosis. Therefore, the malin-laforin complex ensures a blockade of neuronal glycogen synthesis even under intense glycogenic conditions. Here we explain the formation of polyglucosan inclusions in Lafora disease by demonstrating a crucial role for laforin and malin in glycogen synthesis.

Control of glycogen deposition.

Traditionally, glycogen synthase (GS) has been considered to catalyze the key step of glycogen synthesis and to exercise most of the control over this metabolic pathway. However, recent advances have shown that other factors must be considered. Moreover, the control of glycogen deposition does not follow identical mechanisms in muscle and liver. Glucose must be phosphorylated to promote activation of GS. Glucose‐6‐phosphate (Glc‐6‐P) binds to GS, causing the allosteric activation of the enzyme probably through a conformational rearrangement that simultaneously converts it into a better substrate for protein phosphatases, which can then lead to the covalent activation of GS. The potency of Glc‐6‐P for activation of liver GS is determined by its source, since Glc‐6‐P arising from the catalytic action of glucokinase (GK) is much more effective in mediating the activation of the enzyme than the same metabolite produced by hexokinase I (HK I). As a result, hepatic glycogen deposition from glucose is subject to a system of control in which the ‘controller’, GS, is in turn controlled by GK. In contrast, in skeletal muscle, the control of glycogen synthesis is shared between glucose transport and GS. The characteristics of the two pairs of isoenzymes, liver GS/GK and muscle GS/HK I, and the relationships that they establish are tailored to suit specific metabolic roles of the tissues in which they are expressed. The key enzymes in glycogen metabolism change their intracellular localization in response to glucose. The changes in the intracellular distribution of liver GS and GK triggered by glucose correlate with stimulation of glycogen synthesis. The translocation of GS, which constitutes an additional mechanism of control, causes the orderly deposition of hepatic glycogen and probably represents a functional advantage in the metabolism of the polysaccharide.

Glycogen synthase: a new activity ratio assay expressing a high sensitivity to the phosphorylation state.

Since its introduction [I] the -glucose 6-phosphate/t glucose 6-phosphate (-G6P/tG6P) activity ratio assay for glycogen synthase has been a very useful tool in the study of the activation state of this enzyme. The idea of glycogen synthase in two forms (one active in the absence of added G6P (I form), the other requiring it for activity (D form)) evolved from the first experiments in which the -G6P/tG6P assay was employed [ 11. Shortly afterwards changes in the -G6P/tG6P activity ratio were correlated with phosphorylation and dephosphorylation of the enzyme [2]. At concentrations of metabolites close to their physiological levels it was shown [3] that the D form would be inactive whereas the I form would be active. Therefore conversion between D and I forms (i.e., changes in the -G6P/+G6P activity ratio) would correspond to changes in the ‘in vivo’ activity. Nevertheless, in physiological experiments rather small changes in the -G6P/tG6P activity ratio had been observed in response to the administration of hormones. These modest changes in the -G6P/tG6P activity ratio were rather hard to reconcile with an on-off control of glycogen synthase activity (reviewed [41). The enzyme has been shown to have a multiple phosphorylated subunit [5-l I] and that phosphorylation produces pronounced effects on the apparent affinity of the enzyme for its substrate UDP-glucose and the activator glucose 6-phosphate [7,11-131. In [ 131 we have demonstrated that when glycogen

Evidence for a Role of Glucose-induced Translocation of Glucokinase in the Control of Hepatic Glycogen Synthesis

Glucokinase reversibly partitions between a bound and a free state in the hepatocyte in response to the metabolic status of the cell. Maximum binding occurs at low [glucose] (<5 mM) and minimum binding at high [glucose] or in the presence of sorbitol or fructose. In this study we determined the binding characteristics of glucokinase in the hepatocyte in situ, by adenovirus-mediated glucokinase overexpression combined with the digitonin-permeabilization technique. We also determined the sensitivity of glycogen synthesis to changes in either total glucokinase overexpression or in free glucokinase activity. Glucokinase overexpression is associated with an increase in both free and bound activity, with an overall decrease in the proportion of bound activity. In hepatocytes incubated at low [glucose] (0-5 mM), glucokinase binding involves a high-affinity binding site with a Kd of ∼0.1 μM and a binding capacity of ∼3 pmol/mg total cell protein and low-affinity binding with a Kd of ∼1.6 μM. Increasing glucose concentration to 20 mM causes a dose-dependent increase in the Kd of the high- affinity site to ∼0.6 μM, and this effect was mimicked by 50 μM sorbitol, a precursor of fructose 1-P, confirming that this site is the regulatory protein of glucokinase. Glycogen synthesis determined from the incorporation of [2-3H,U-14C]glucose into glycogen at 5 mM or 10 mM glucose was very sensitive to small increases in total glucokinase activity and correlated more closely with the increase in free glucokinase activity. The relation between glycogenic flux and glucokinase activity is sigmoidal. Expression of the sensitivity of glycogen synthesis to glucokinase activity as the control coefficient reveals that the coefficient is greater for the incorporation of 2-tritium (which occurs exclusively by the direct pathway) than for incorporation of 14C label (which involves direct and indirect pathways) and is greater at 5 mM glucose (when glucokinase is maximally sequestered at its high-affinity site) than at 10 mM glucose. The results support the hypothesis that compartmentation of glucokinase in the hepatocyte increases the sensitivity of glycogen synthesis to small changes in total glucokinase activity and that glucose-induced translocation of glucokinase has a major role in the acute control of glycogen synthesis.

Hypoxia promotes glycogen accumulation through hypoxia inducible factor (HIF)-mediated induction of glycogen synthase 1.

When oxygen becomes limiting, cells reduce mitochondrial respiration and increase ATP production through anaerobic fermentation of glucose. The Hypoxia Inducible Factors (HIFs) play a key role in this metabolic shift by regulating the transcription of key enzymes of glucose metabolism. Here we show that oxygen regulates the expression of the muscle glycogen synthase (GYS1). Hypoxic GYS1 induction requires HIF activity and a Hypoxia Response Element within its promoter. GYS1 gene induction correlated with a significant increase in glycogen synthase activity and glycogen accumulation in cells exposed to hypoxia. Significantly, knockdown of either HIF1α or GYS1 attenuated hypoxia-induced glycogen accumulation, while GYS1 overexpression was sufficient to mimic this effect. Altogether, these results indicate that GYS1 regulation by HIF plays a central role in the hypoxic accumulation of glycogen. Importantly, we found that hypoxia also upregulates the expression of UTP:glucose-1-phosphate urydylyltransferase (UGP2) and 1,4-α glucan branching enzyme (GBE1), two enzymes involved in the biosynthesis of glycogen. Therefore, hypoxia regulates almost all the enzymes involved in glycogen metabolism in a coordinated fashion, leading to its accumulation. Finally, we demonstrated that abrogation of glycogen synthesis, by knock-down of GYS1 expression, impairs hypoxic preconditioning, suggesting a physiological role for the glycogen accumulated during chronic hypoxia. In summary, our results uncover a novel effect of hypoxia on glucose metabolism, further supporting the central importance of metabolic reprogramming in the cellular adaptation to hypoxia.

Stable and functional regeneration of pancreatic beta-cell population in nSTZ-rats treated with tungstate.

Aims/hypothesisSodium tungstate has recently emerged as an effective oral treatment for diabetes. We examined the effects of tungstate administration in the beta-cell mass of the pancreas as well as its therapeutic potential.MethodsSodium tungstate was administered via drinking water to healthy and neonatal streptozotocin (nSTZ)-diabetic rats for one month. The pancreas from each rat was removed and morphometric and immunocytochemical studies were carried out. The molecular mechanism of tungstate’s action was also studied.ResultsIn nSTZ rats administration of this compound normalised glycaemia, and increased insulinaemia and islet insulin content. Blood glucose concentrations were normalised as early as on day 4 of treatment, and tungstate treatment produced a partial recovery of beta-cell mass. The rats remained normoglycaemic after tungstate withdrawal. Morphometric studies showed that the increase in beta-cell mass was not due to beta-cell hypertrophy but to hyperplasia, with an increase in islet density in treated diabetic rats. Tungstate treatment increased extra-islet beta-cell replication without modifying intra-islet beta-cell replication rates. Moreover, the treatment induced increases in insulin-positive cells located close to ducts; and in PDX-1 positive cells scattered in the exocrine tissue, suggesting active neogenesis. In islets from treated diabetic rats, tungstate is able to increase the phosphorylation state of PDX-1 through the activation of p38.Conclusion/interpretationThese observations indicate that tungstate treatment is able to regenerate a stable, functional pancreatic beta-cell population which leads to and maintains normoglycaemia.

Tungstate is an effective antidiabetic agent in streptozotocin-induced diabetic rats: a long-term study

Aims/hypothesis. Recent studies have shown the anti diabetic effects of oral sodium tungstate treatment in several animal models of diabetes based on short-term experiments. In this study, we examined the effectiveness of long-term tungstate treatment of streptozotocin-induced-diabetic rats. Methods. Tungstate was administered to the drinking water of rats for eight months. Results. The treatment resulted in a reduction in serum glucose concentrations in diabetic rats, but no change in glycaemia was detected in healthy rats. Alterations in the hepatic glucose metabolism due to diabetes were almost completely counteracted by tungstate treatment. The partial recovery of glucokinase activity, not found in diabetic animals, normalised glycogen and glucose 6-phosphate concentrations. Tungstate treatment also restored pyruvate kinase activity and fructose 2,6-bisphosphate concentrations. In healthy rats, tungstate treatment did not modify the majority of the hepatic parameters studied. Moreover, tungstate treatment prevented diabetes-induced morphological changes in the kidney and ocular lens and also reduced mortality. Furthermore, no hypoglycaemic episodes or undesirable side effects were observed in treated diabetic or healthy rats. In addition, there is no evidence of intolerance developing after prolonged use. Conclusion/interpretation. Tungstate could play a helpful part in the long-term treatment of diabetes. [Diabetologia (2001) 44: 507–513]

Glucokinase regulatory protein is essential for the proper subcellular localisation of liver glucokinase.

Glucokinase (GK), a key enzyme in the glucose homeostatic responses of the liver, changes its intracellular localisation depending on the metabolic status of the cell. Rat liver GK and Xenopus laevis GK, fused to the green fluorescent protein (GFP), concentrated in the nucleus of cultured rat hepatocytes at low glucose and translocated to the cytoplasm at high glucose. Three mutant forms of Xenopus GK with reduced affinity for GK regulatory protein (GKRP) did not concentrate in the hepatocyte nuclei, even at low glucose. In COS‐1 and HeLa cells, a blue fluorescent protein (BFP)‐tagged version of rat liver GK was only able to accumulate in the nucleus when it was co‐expressed with GKRP‐GFP. At low glucose, both proteins concentrated in the nuclear compartment and at high glucose, BFP‐GK translocated to the cytosol while GKRP‐GFP remained in the nucleus. These findings indicate that the presence of and binding to GKRP are necessary and sufficient for the proper intracellular localisation of GK and directly involve GKRP in the control of the GK subcellular distribution.

Differential Metabolic Effects of Adenovirus-mediated Glucokinase and Hexokinase I Overexpression in Rat Primary Hepatocytes

The first step of glucose metabolism is the phosphorylation of glucose, catalyzed by the hexokinase family of enzymes. To address the metabolic impact of increasing glucose phosphorylation capacity in liver, rat primary hepatocytes were treated with recombinant adenoviruses containing the cDNAs encoding either rat liver glucokinase (AdCMV-GKL) or rat hexokinase I (AdCMV-HKI). Maximal glucose phosphorylation in AdCMV-GKL- and AdCMV-HKI-treated hepatocytes was increased 7.1 ± 1.2- and 6.3 ± 0.8-fold, respectively, over hepatocytes treated with an adenovirus expressing β-galactosidase. Glucose usage (measured with 3 and 20 mM 2-[3H]glucose and 5-[3H]glucose) was significantly increased in AdCMV-GKL-treated cells preincubated in 1 or 25 mM glucose. Treatment of hepatocytes with AdCMV-HKI also caused enhanced glucose utilization, but the increases were smaller and were less apparent in cells preincubated in high (25 mM) glucose. AdCMV-GKL-treated hepatocytes incubated for 48 h in the presence of variable glucose concentrations had glycogen levels that were maximally 15.0 ± 0.6-fold greater than levels in corresponding control cells. AdCMV-HKI-treated hepatocytes incubated under similar conditions had unchanged glycogen levels relative to controls. In AdCMV-GKL-treated cells, lactate output was increased to a maximum of 3.0 ± 0.4-fold (at 25 mM glucose), glucose oxidation was increased 3.5 ± 0.3-fold, and triglyceride production was unchanged relative to untreated cells. Among these three parameters, only lactate production was increased in AdCMV-HKI-treated cells, and then only at low glucose concentrations. We conclude that overexpression of glucokinase has potent effects on glucose storage and utilization in hepatocytes and that these effects are not matched by overexpression of hexokinase I.

A Guideline to Univariate Statistical Analysis for LC/MS-Based Untargeted Metabolomics-Derived Data

Several metabolomic software programs provide methods for peak picking, retention time alignment and quantification of metabolite features in LC/MS-based metabolomics. Statistical analysis, however, is needed in order to discover those features significantly altered between samples. By comparing the retention time and MS/MS data of a model compound to that from the altered feature of interest in the research sample, metabolites can be then unequivocally identified. This paper reports on a comprehensive overview of a workflow for statistical analysis to rank relevant metabolite features that will be selected for further MS/MS experiments. We focus on univariate data analysis applied in parallel on all detected features. Characteristics and challenges of this analysis are discussed and illustrated using four different real LC/MS untargeted metabolomic datasets. We demonstrate the influence of considering or violating mathematical assumptions on which univariate statistical test rely, using high-dimensional LC/MS datasets. Issues in data analysis such as determination of sample size, analytical variation, assumption of normality and homocedasticity, or correction for multiple testing are discussed and illustrated in the context of our four untargeted LC/MS working examples.