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Yerra VG, Drosatos K. Specificity Proteins (SP) and Krüppel-like Factors (KLF) in Liver Physiology and Pathology. Int J Mol Sci 2023; 24:4682. [PMID: 36902112 PMCID: PMC10003758 DOI: 10.3390/ijms24054682] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2023] [Revised: 02/21/2023] [Accepted: 02/23/2023] [Indexed: 03/04/2023] Open
Abstract
The liver acts as a central hub that controls several essential physiological processes ranging from metabolism to detoxification of xenobiotics. At the cellular level, these pleiotropic functions are facilitated through transcriptional regulation in hepatocytes. Defects in hepatocyte function and its transcriptional regulatory mechanisms have a detrimental influence on liver function leading to the development of hepatic diseases. In recent years, increased intake of alcohol and western diet also resulted in a significantly increasing number of people predisposed to the incidence of hepatic diseases. Liver diseases constitute one of the serious contributors to global deaths, constituting the cause of approximately two million deaths worldwide. Understanding hepatocyte transcriptional mechanisms and gene regulation is essential to delineate pathophysiology during disease progression. The current review summarizes the contribution of a family of zinc finger family transcription factors, named specificity protein (SP) and Krüppel-like factors (KLF), in physiological hepatocyte functions, as well as how they are involved in the onset and development of hepatic diseases.
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Affiliation(s)
| | - Konstantinos Drosatos
- Metabolic Biology Laboratory, Cardiovascular Center, Department of Pharmacology and Systems Physiology, University of Cincinnati College of Medicine, Cincinnati, OH 45267, USA
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Silberberg Y, Kupiec M, Sharan R. GLADIATOR: a global approach for elucidating disease modules. Genome Med 2017; 9:48. [PMID: 28549478 PMCID: PMC5446740 DOI: 10.1186/s13073-017-0435-z] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/15/2016] [Accepted: 05/04/2017] [Indexed: 12/18/2022] Open
Abstract
BACKGROUND Understanding the genetic basis of disease is an important challenge in biology and medicine. The observation that disease-related proteins often interact with one another has motivated numerous network-based approaches for deciphering disease mechanisms. In particular, protein-protein interaction networks were successfully used to illuminate disease modules, i.e., interacting proteins working in concert to drive a disease. The identification of these modules can further our understanding of disease mechanisms. METHODS We devised a global method for the prediction of multiple disease modules simultaneously named GLADIATOR (GLobal Approach for DIsease AssociaTed mOdule Reconstruction). GLADIATOR relies on a gold-standard disease phenotypic similarity to obtain a pan-disease view of the underlying modules. To traverse the search space of potential disease modules, we applied a simulated annealing algorithm aimed at maximizing the correlation between module similarity and the gold-standard phenotypic similarity. Importantly, this optimization is employed over hundreds of diseases simultaneously. RESULTS GLADIATOR's predicted modules highly agree with current knowledge about disease-related proteins. Furthermore, the modules exhibit high coherence with respect to functional annotations and are highly enriched with known curated pathways, outperforming previous methods. Examination of the predicted proteins shared by similar diseases demonstrates the diverse role of these proteins in mediating related processes across similar diseases. Last, we provide a detailed analysis of the suggested molecular mechanism predicted by GLADIATOR for hyperinsulinism, suggesting novel proteins involved in its pathology. CONCLUSIONS GLADIATOR predicts disease modules by integrating knowledge of disease-related proteins and phenotypes across multiple diseases. The predicted modules are functionally coherent and are more in line with current biological knowledge compared to modules obtained using previous disease-centric methods. The source code for GLADIATOR can be downloaded from http://www.cs.tau.ac.il/~roded/GLADIATOR.zip .
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Affiliation(s)
- Yael Silberberg
- Department of Molecular Microbiology and Biotechnology, Tel Aviv University, Tel Aviv, Israel
| | - Martin Kupiec
- Department of Molecular Microbiology and Biotechnology, Tel Aviv University, Tel Aviv, Israel
| | - Roded Sharan
- The Blavatnik School of Computer Science, Tel Aviv University, Tel Aviv, Israel.
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Abstract
The glucokinase (GK) enzyme (EC 2.7.1.1.) is essential for the use of dietary glucose because it is the first enzyme to phosphorylate glucose in excess in different key tissues such as the pancreas and liver. The objective of the present review is not to fully describe the biochemical characteristics and the genetics of this enzyme but to detail its nutritional regulation in different vertebrates from fish to human. Indeed, the present review will describe the existence of the GK enzyme in different animal species that have naturally different levels of carbohydrate in their diets. Thus, some studies have been performed to analyse the nutritional regulation of the GK enzyme in humans and rodents (having high levels of dietary carbohydrates in their diets), in the chicken (moderate level of carbohydrates in its diet) and rainbow trout (no carbohydrate intake in its diet). All these data illustrate the nutritional importance of the GK enzyme irrespective of feeding habits, even in animals known to poorly use dietary carbohydrates (carnivorous species).
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Taher L, Smith RP, Kim MJ, Ahituv N, Ovcharenko I. Sequence signatures extracted from proximal promoters can be used to predict distal enhancers. Genome Biol 2013; 14:R117. [PMID: 24156763 PMCID: PMC3983659 DOI: 10.1186/gb-2013-14-10-r117] [Citation(s) in RCA: 29] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2013] [Accepted: 10/24/2013] [Indexed: 01/22/2023] Open
Abstract
BACKGROUND Gene expression is controlled by proximal promoters and distal regulatory elements such as enhancers. While the activity of some promoters can be invariant across tissues, enhancers tend to be highly tissue-specific. RESULTS We compiled sets of tissue-specific promoters based on gene expression profiles of 79 human tissues and cell types. Putative transcription factor binding sites within each set of sequences were used to train a support vector machine classifier capable of distinguishing tissue-specific promoters from control sequences. We obtained reliable classifiers for 92% of the tissues, with an area under the receiver operating characteristic curve between 60% (for subthalamic nucleus promoters) and 98% (for heart promoters). We next used these classifiers to identify tissue-specific enhancers, scanning distal non-coding sequences in the loci of the 200 most highly and lowly expressed genes. Thirty percent of reliable classifiers produced consistent enhancer predictions, with significantly higher densities in the loci of the most highly expressed compared to lowly expressed genes. Liver enhancer predictions were assessed in vivo using the hydrodynamic tail vein injection assay. Fifty-eight percent of the predictions yielded significant enhancer activity in the mouse liver, whereas a control set of five sequences was completely negative. CONCLUSIONS We conclude that promoters of tissue-specific genes often contain unambiguous tissue-specific signatures that can be learned and used for the de novo prediction of enhancers.
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Affiliation(s)
- Leila Taher
- Computational Biology Branch, National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, MD, 20894, USA
- Institute for Biostatistics and Informatics in Medicine and Ageing Research, University of Rostock, Rostock, 18057, Germany
| | - Robin P Smith
- Department of Bioengineering and Therapeutic Sciences, University of California San Francisco, San Francisco, CA, 94158, USA
- Institute for Human Genetics, University of California San Francisco, San Francisco, CA, 94158, USA
| | - Mee J Kim
- Department of Bioengineering and Therapeutic Sciences, University of California San Francisco, San Francisco, CA, 94158, USA
- Institute for Human Genetics, University of California San Francisco, San Francisco, CA, 94158, USA
| | - Nadav Ahituv
- Department of Bioengineering and Therapeutic Sciences, University of California San Francisco, San Francisco, CA, 94158, USA
- Institute for Human Genetics, University of California San Francisco, San Francisco, CA, 94158, USA
| | - Ivan Ovcharenko
- Computational Biology Branch, National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, MD, 20894, USA
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Polakof S, Mommsen TP, Soengas JL. Glucosensing and glucose homeostasis: from fish to mammals. Comp Biochem Physiol B Biochem Mol Biol 2011; 160:123-49. [PMID: 21871969 DOI: 10.1016/j.cbpb.2011.07.006] [Citation(s) in RCA: 205] [Impact Index Per Article: 15.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2011] [Revised: 07/20/2011] [Accepted: 07/22/2011] [Indexed: 12/16/2022]
Abstract
This review is focused on two topics related to glucose in vertebrates. In a first section devoted to glucose homeostasis we describe how glucose levels fluctuate and are regulated in different classes of vertebrates. The detection of these fluctuations is essential for homeostasis and for other physiological processes such as regulation of food intake. The capacity of that detection is known as glucosensing, and the different mechanisms through which it occurs are known as glucosensors. Different glucosensor mechanisms have been demonstrated in different tissues and organs of rodents and humans whereas the information obtained for other vertebrates is scarce. In the second section of the review we describe the present knowledge regarding glucosensor mechanisms in different groups of vertebrates, with special emphasis in fish.
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Affiliation(s)
- Sergio Polakof
- INRA, UMR, UNH, CRNH Auvergne, Clermont-Ferrand, France.
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Zhu LL, Liu Y, Cui AF, Shao D, Liang JC, Liu XJ, Chen Y, Gupta N, Fang FD, Chang YS. PGC-1alpha coactivates estrogen-related receptor-alpha to induce the expression of glucokinase. Am J Physiol Endocrinol Metab 2010; 298:E1210-8. [PMID: 20215575 DOI: 10.1152/ajpendo.00633.2009] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/11/2023]
Abstract
Peroxisome proliferator-activated receptor-gamma coactivator-1alpha (PGC-1alpha) is a key regulator of cellular energy metabolism and regulates processes such as adaptive thermogenesis, hepatic gluconeogenesis, fatty acid oxidation, and mitochondrial biogenesis by coactivating numerous nuclear receptors and transcription factors. Here, we demonstrate the presence of the ERRalpha binding site in the regulatory sequence of the glucokinase gene and that PGC-1alpha coactivates ERRalpha to stimulate the transcription of glucokinase. Simultaneous overexpression of PGC-1alpha and ERRalpha potently induced the glucokinase gene expression and its enzymatic activity in primary hepatocytes; however, expression of either PGC-1alpha or ERRalpha alone had no significant effect. Electrophoretic mobility shift and chromatin immunoprecipitation assays revealed the interaction of ERRalpha with the glucokinase promoter. Finally, the knockdown of endogenous ERRalpha with specific siRNA (siERRalpha) or pharmacological inhibition of ERRalpha with XCT790 attenuated insulin-induced glucokinase expression. Taken together, this research identifies glucokinase as a novel target of PGC-1alpha/ERRalpha and underscores the regulatory function of ERRalpha in insulin-dependent enzyme regulation.
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Affiliation(s)
- Liu-Luan Zhu
- National Laboratory of Medical Molecular Biology, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences, School of Basic Medicine, Peking Union Medical College, Beijing, China
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Polakof S, Skiba-Cassy S, Choubert G, Panserat S. Insulin-induced hypoglycaemia is co-ordinately regulated by liver and muscle during acute and chronic insulin stimulation in rainbow trout (Oncorhynchus mykiss). J Exp Biol 2010; 213:1443-52. [PMID: 20400628 DOI: 10.1242/jeb.037689] [Citation(s) in RCA: 53] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022]
Abstract
SUMMARY
The relative glucose intolerance of carnivorous fish species is often proposed to be a result of poor peripheral insulin action or possibly insulin resistance. In the present study, data from aortic cannulated rainbow trout receiving bovine insulin (75 mIU kg−1) injections show for the first time their ability to clear glucose in a very efficient manner. In another set of experiments, mRNA transcripts and protein phosphorylation status of proteins controlling glycaemia and glucose-related metabolism were studied during both acute and chronic treatment with bovine insulin. Our results show that fasted rainbow trout are well adapted at the molecular level to respond to increases in circulating insulin levels, and that this hormone is able to potentially improve glucose distribution and uptake by peripheral tissues. After acute insulin administration we found that to counter-regulate the insulin-induced hypoglycaemia, trout metabolism is strongly modified. This short-term, efficient response to hypoglycaemia includes a rapid, coordinated response involving the reorganization of muscle and liver metabolism. During chronic insulin treatment some of the functions traditionally attributed to insulin actions in mammals were observed, including increased mRNA levels of glucose transporters and glycogen storage (primarily in the muscle) as well as decreased mRNA levels of enzymes involved in de novo glucose production (in the liver). Finally, we show that the rainbow trout demonstrates most of the classic metabolic adjustments employed by mammals to efficiently utilize glucose in the appropriate insulin context.
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Affiliation(s)
- Sergio Polakof
- INRA, UMR1067 Nutrition Aquaculture et Génomique, F-64310 Saint-Pée-sur-Nivelle, France
- IFREMER, UMR1067 Nutrition Aquaculture et Génomique, F-29280 Plouzané, France
- Université Bordeaux 1, UMR 1067 Nutrition Aquaculture et Génomique, F-33405 Talence, France
- Laboratorio de Fisioloxía Animal, Departamento de Bioloxía Funcional e Ciencias da Saúde, Facultade de Bioloxía, Universidade de Vigo, E-36310 Vigo, Spain
| | - Sandrine Skiba-Cassy
- INRA, UMR1067 Nutrition Aquaculture et Génomique, F-64310 Saint-Pée-sur-Nivelle, France
- IFREMER, UMR1067 Nutrition Aquaculture et Génomique, F-29280 Plouzané, France
- Université Bordeaux 1, UMR 1067 Nutrition Aquaculture et Génomique, F-33405 Talence, France
| | - Georges Choubert
- INRA, UMR1067 Nutrition Aquaculture et Génomique, F-64310 Saint-Pée-sur-Nivelle, France
- IFREMER, UMR1067 Nutrition Aquaculture et Génomique, F-29280 Plouzané, France
- Université Bordeaux 1, UMR 1067 Nutrition Aquaculture et Génomique, F-33405 Talence, France
| | - Stéphane Panserat
- INRA, UMR1067 Nutrition Aquaculture et Génomique, F-64310 Saint-Pée-sur-Nivelle, France
- IFREMER, UMR1067 Nutrition Aquaculture et Génomique, F-29280 Plouzané, France
- Université Bordeaux 1, UMR 1067 Nutrition Aquaculture et Génomique, F-33405 Talence, France
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The hexokinase gene family in the zebrafish: Structure, expression, functional and phylogenetic analysis. Comp Biochem Physiol B Biochem Mol Biol 2009; 152:189-95. [DOI: 10.1016/j.cbpb.2008.11.004] [Citation(s) in RCA: 28] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2008] [Revised: 11/26/2008] [Accepted: 11/26/2008] [Indexed: 11/24/2022]
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Metabolic control analysis: a tool for designing strategies to manipulate metabolic pathways. J Biomed Biotechnol 2008; 2008:597913. [PMID: 18629230 PMCID: PMC2447884 DOI: 10.1155/2008/597913] [Citation(s) in RCA: 122] [Impact Index Per Article: 7.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/01/2007] [Revised: 01/16/2008] [Accepted: 03/26/2008] [Indexed: 02/06/2023] Open
Abstract
The traditional experimental approaches used for changing the flux or the concentration of a particular metabolite of a metabolic pathway have been mostly based on the inhibition or over-expression of the presumed rate-limiting step. However, the attempts to manipulate a metabolic pathway by following such approach have proved to be unsuccessful. Metabolic Control Analysis (MCA) establishes how to determine, quantitatively, the degree of control that a given enzyme exerts on flux and on the concentration of metabolites, thus substituting the intuitive, qualitative concept of rate limiting step. Moreover, MCA helps to understand (i) the underlying mechanisms by which a given enzyme exerts high or low control and (ii) why the control of the pathway is shared by several pathway enzymes and transporters. By applying MCA it is possible to identify the steps that should be modified to achieve a successful alteration of flux or metabolite concentration in pathways of biotechnological (e.g., large scale metabolite production) or clinical relevance (e.g., drug therapy). The different MCA experimental approaches developed for the determination of the flux-control distribution in several pathways are described. Full understanding of the pathway properties when is working under a variety of conditions can help to attain a successful manipulation of flux and metabolite concentration.
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Bartella V, Cascio S, Fiorio E, Auriemma A, Russo A, Surmacz E. Insulin-dependent leptin expression in breast cancer cells. Cancer Res 2008; 68:4919-27. [PMID: 18559540 DOI: 10.1158/0008-5472.can-08-0642] [Citation(s) in RCA: 57] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Pathologic conditions associated with hyperinsulinemia, such as obesity, metabolic syndrome, and diabetes, seem to increase the risk of breast cancer. Here, we studied molecular mechanisms by which insulin activates the expression of leptin, an obesity hormone that has been shown to promote breast cancer progression in an autocrine or paracrine way. Using MDA-MB-231 breast cancer cells, we found that (a) insulin stimulated leptin mRNA and protein expression, which was associated with increased activation of the leptin gene promoter; (b) insulin increased nuclear accumulation of transcription factors hypoxia inducible factor (HIF)-1alpha and Sp1 and their loading on the leptin promoter; (c) small interfering RNA (siRNA)-mediated knockdown of either HIF-1alpha or Sp1 significantly down-regulated insulin-induced leptin mRNA and protein expression; further inhibition of leptin expression was observed under the combined HIF-1alpha and Sp1 siRNA treatment; (d) inhibition of extracellular signal-regulated kinase (ERK)1/2 and phosphatidylinositol-3-OH kinase (PI-3K) pathways significantly, albeit partially, decreased insulin-dependent leptin mRNA and protein expression, which coincided with reduced association of HIF-1alpha and/or Sp1 with specific leptin promoter regions; and (e) inhibition of ERK1/2 reduced recruitment of both HIF-1alpha and Sp1 to the leptin promoter, whereas down-regulation of PI-3K influenced only HIF-1alpha binding. In summary, our data suggest that hyperinsulinemia could induce breast cancer progression through leptin-dependent mechanisms. In MDA-MB-231 cells, this process requires Sp1- and HIF-1alpha-mediated leptin gene transcription and is partially regulated by the PI-3K and ERK1/2 pathways.
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Affiliation(s)
- Viviana Bartella
- Sbarro Institute for Cancer Research and Molecular Medicine, Temple University, Philadelphia, Pennsylvania, USA
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Egea M, Metón I, Córdoba M, Fernández F, Baanante IV. Role of Sp1 and SREBP-1a in the insulin-mediated regulation of glucokinase transcription in the liver of gilthead sea bream (Sparus aurata). Gen Comp Endocrinol 2008; 155:359-67. [PMID: 17686483 DOI: 10.1016/j.ygcen.2007.06.018] [Citation(s) in RCA: 18] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/20/2007] [Revised: 06/07/2007] [Accepted: 06/22/2007] [Indexed: 01/14/2023]
Abstract
Insulin induction of glucokinase (GCK) transcription in the liver is essential for maintaining glucose homeostasis. To study the molecular mechanism underlying the regulation of hepatic GCK expression in the carnivorous fish gilthead sea bream (Sparus aurata), we analysed the role of sterol regulatory element binding protein-1a (SREBP-1a) and specificity protein (Sp) 1 in insulin-dependent GCK transcription. Transient transfection experiments performed in HepG2 cells and electrophoretic mobility shift assays allowed us to identify a cis-element in the proximal region of GCK promoter implicated in transactivation by SREBP-1a. Consistently, mutations in the SRE binding site completely abolished the enhancing effect of SREBP-1a. These results and previous findings suggest that SREBP-1a plays a role in the transcriptional regulation of key enzymes in glycolysis-gluconeogenesis. Since SREBP-1a and Sp1 may mediate insulin action on S. aurata GCK transcription, we analysed the effect of insulin on HepG2 cells transfected with GCK promoter reporter constructs carrying intact or mutated SRE or Sp boxes. Insulin transactivated GCK irrespective of the presence of an intact or mutated SRE box. However, insulin failed to induce GCK transcription when using reporter constructs that had either a mutated Sp site or no Sp site. Our findings indicate that Sp1, rather than SREBP-1a, mediates the insulin-dependent induction of S. aurata GCK.
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Affiliation(s)
- Miriam Egea
- Departament de Bioquímica i Biologia Molecular, Facultat de Farmàcia, Universitat de Barcelona, Diagonal 643, 08028 Barcelona, Spain
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