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Yu Y, Shang Y, Shi S, He Y, Shi W, Wang M, Wang Q, Xu D, Shi C, Chen H. Combination of arsenic trioxide and apatinib synergistically inhibits small cell lung cancer by down-regulating VEGFR2/mTOR and Akt/c-Myc signaling pathway via GRB10. Hereditas 2024; 161:29. [PMID: 39223679 PMCID: PMC11367874 DOI: 10.1186/s41065-024-00330-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2024] [Accepted: 08/10/2024] [Indexed: 09/04/2024] Open
Abstract
BACKGROUND Small cell lung carcinoma (SCLC) is characterized by -poor prognosis, -high predilection for -metastasis, -proliferation, and -absence of newer therapeutic options. Elucidation of newer pathways characterizing the disease may allow for development of targeted therapies and consequently favorable outcomes. METHODS The current study explored the combinatorial action of arsenic trioxide (ATO) and apatinib (APA) in vitro and in vivo. In vitro models were tested using -H446 and -H196 SCLC cell lines. The ability of drugs to reduce -metastasis, -cell proliferation, and -migration were assessed. Using bioinformatic analysis, differentially expressed genes were determined. Gene regulation was assessed using gene knock down models and confirmed using Western blots. The in vivo models were used to confirm the resolution of pathognomic features in the presence of the drugs. Growth factor receptor bound protein (GRB) 10 expression levels of human small cell lung cancer tissues and adjacent tissues were detected by IHC. RESULTS In combination, ATO and APA were found to significantly reduce -cell proliferation, -migration, and -metastasis in both the cell lines. Cell proliferation was found to be inhibited by activation of Caspase-3, -7 pathway. In the presence of drugs, it was found that expression of GRB10 was stabilized. The silencing of GRB10 was found to negatively regulate the VEGFR2/Akt/mTOR and Akt/GSK-3β/c-Myc signaling pathway. Concurrently, absence of metastasis and reduction of tumor volume were confirmed in vivo. The immunohistochemical results confirmed that the expression level of GRB10 in adjacent tissues was significantly higher than that in human small cell lung cancer tissues. CONCLUSIONS Synergistically, ATO and APA have a more significant impact on inhibiting cell proliferation than each drug independently. ATO and APA may be mediating its action through the stabilization of GRB10 thus acting as a tumor suppressor. We thus, preliminarily report the impact of GRB10 stability as a target for SCLC treatment.
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Affiliation(s)
- Yao Yu
- Harbin Medical University, Harbin, Heilongjiang Province, China
- Department of Pulmonary and Critical Care Medicine, The Second Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang Province, China
| | - Yu Shang
- Department of Respiration, The First Hospital of Harbin, Harbin, Heilongjiang Province, China
| | - Si Shi
- Harbin Medical University, Harbin, Heilongjiang Province, China
- Department of Pulmonary and Critical Care Medicine, The Second Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang Province, China
| | - Yaowu He
- Harbin Medical University, Harbin, Heilongjiang Province, China
- Department of Pulmonary and Critical Care Medicine, The Second Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang Province, China
| | - Wenchao Shi
- Harbin Medical University, Harbin, Heilongjiang Province, China
- Department of Pulmonary and Critical Care Medicine, The Fourth Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang Province, China
| | - Menghan Wang
- Harbin Medical University, Harbin, Heilongjiang Province, China
- Department of Pulmonary and Critical Care Medicine, The Second Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang Province, China
| | - Qi Wang
- Harbin Medical University, Harbin, Heilongjiang Province, China
- Department of Pulmonary and Critical Care Medicine, The Second Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang Province, China
| | - Dandan Xu
- Harbin Medical University, Harbin, Heilongjiang Province, China
- Department of Geriatric Respiratory Medicine, Heilongjiang Provincial Hospital, Harbin, China
| | - Ce Shi
- NHC Key Laboratory of Cell Transplantation, The First Affiliated Hospital of Harbin Medical University (HMU), Harbin, Heilongjiang Province, China.
| | - Hong Chen
- Harbin Medical University, Harbin, Heilongjiang Province, China.
- Department of Pulmonary and Critical Care Medicine, The Second Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang Province, China.
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Allard C, Miralpeix C, López-Gambero AJ, Cota D. mTORC1 in energy expenditure: consequences for obesity. Nat Rev Endocrinol 2024; 20:239-251. [PMID: 38225400 DOI: 10.1038/s41574-023-00934-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 11/29/2023] [Indexed: 01/17/2024]
Abstract
In eukaryotic cells, the mammalian target of rapamycin complex 1 (sometimes referred to as the mechanistic target of rapamycin complex 1; mTORC1) orchestrates cellular metabolism in response to environmental energy availability. As a result, at the organismal level, mTORC1 signalling regulates the intake, storage and use of energy by acting as a hub for the actions of nutrients and hormones, such as leptin and insulin, in different cell types. It is therefore unsurprising that deregulated mTORC1 signalling is associated with obesity. Strategies that increase energy expenditure offer therapeutic promise for the treatment of obesity. Here we review current evidence illustrating the critical role of mTORC1 signalling in the regulation of energy expenditure and adaptive thermogenesis through its various effects in neuronal circuits, adipose tissue and skeletal muscle. Understanding how mTORC1 signalling in one organ and cell type affects responses in other organs and cell types could be key to developing better, safer treatments targeting this pathway in obesity.
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Affiliation(s)
- Camille Allard
- University of Bordeaux, INSERM, Neurocentre Magendie, Bordeaux, France
| | | | | | - Daniela Cota
- University of Bordeaux, INSERM, Neurocentre Magendie, Bordeaux, France.
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3
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Navarro-Pérez M, Estadella I, Benavente-Garcia A, Orellana-Fernández R, Petit A, Ferreres JC, Felipe A. The Phosphorylation of Kv1.3: A Modulatory Mechanism for a Multifunctional Ion Channel. Cancers (Basel) 2023; 15:2716. [PMID: 37345053 DOI: 10.3390/cancers15102716] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2023] [Revised: 05/04/2023] [Accepted: 05/09/2023] [Indexed: 06/23/2023] Open
Abstract
The voltage-gated potassium channel Kv1.3 plays a pivotal role in a myriad of biological processes, including cell proliferation, differentiation, and apoptosis. Kv1.3 undergoes fine-tuned regulation, and its altered expression or function correlates with tumorigenesis and cancer progression. Moreover, posttranslational modifications (PTMs), such as phosphorylation, have evolved as rapid switch-like moieties that tightly modulate channel activity. In addition, kinases are promising targets in anticancer therapies. The diverse serine/threonine and tyrosine kinases function on Kv1.3 and the effects of its phosphorylation vary depending on multiple factors. For instance, Kv1.3 regulatory subunits (KCNE4 and Kvβ) can be phosphorylated, increasing the complexity of channel modulation. Scaffold proteins allow the Kv1.3 channelosome and kinase to form protein complexes, thereby favoring the attachment of phosphate groups. This review compiles the network triggers and signaling pathways that culminate in Kv1.3 phosphorylation. Alterations to Kv1.3 expression and its phosphorylation are detailed, emphasizing the importance of this channel as an anticancer target. Overall, further research on Kv1.3 kinase-dependent effects should be addressed to develop effective antineoplastic drugs while minimizing side effects. This promising field encourages basic cancer research while inspiring new therapy development.
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Affiliation(s)
- María Navarro-Pérez
- Molecular Physiology Laboratory, Departament de Bioquímica i Biomedicina Molecular, Institut de Biomedicina (IBUB), Universitat de Barcelona, Avda. Diagonal 643, 08028 Barcelona, Spain
| | - Irene Estadella
- Molecular Physiology Laboratory, Departament de Bioquímica i Biomedicina Molecular, Institut de Biomedicina (IBUB), Universitat de Barcelona, Avda. Diagonal 643, 08028 Barcelona, Spain
| | - Anna Benavente-Garcia
- Molecular Physiology Laboratory, Departament de Bioquímica i Biomedicina Molecular, Institut de Biomedicina (IBUB), Universitat de Barcelona, Avda. Diagonal 643, 08028 Barcelona, Spain
| | | | - Anna Petit
- Departament de Patologia, Hospital Universitari de Bellvitge, IDIBELL, L'Hospitalet del Llobregat, 08908 Barcelona, Spain
| | - Joan Carles Ferreres
- Servei d'Anatomia Patològica, Parc Taulí Hospital Universitari, Institut d'Investigació i Innovació Parc Taulí (I3PT-CERCA), 08208 Sabadell, Spain
- Departament de Ciències Morfològiques, Universitat Autònoma de Barcelona, 08193 Barcelona, Spain
| | - Antonio Felipe
- Molecular Physiology Laboratory, Departament de Bioquímica i Biomedicina Molecular, Institut de Biomedicina (IBUB), Universitat de Barcelona, Avda. Diagonal 643, 08028 Barcelona, Spain
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Sun CF, Zhang XH, Dong JJ, You XX, Tian YY, Gao FY, Zhang HT, Shi Q, Ye X, Shi Q, Ye X. Whole-genome resequencing reveals recent signatures of selection in five populations of largemouth bass ( Micropterus salmoides). Zool Res 2023; 44:78-89. [PMID: 36349358 PMCID: PMC9841193 DOI: 10.24272/j.issn.2095-8137.2022.274] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022] Open
Abstract
Largemouth bass ( Micropterus salmoides) is an economically important fish species in North America, Europe, and China. Various genetic improvement programs and domestication processes have modified its genome sequence through selective pressure, leaving nucleotide signals that can be detected at the genomic level. In this study, we sequenced 149 largemouth bass fish, including protospecies (imported from the US) and improved breeds (four domestic breeding populations from China). We detected genomic regions harboring certain genes associated with improved traits, which may be useful molecular markers for practical domestication, breeding, and selection. Subsequent analyses of genetic diversity and population structure revealed that the improved breeds have undergone more rigorous genetic changes. Through selective signal analysis, we identified hundreds of putative selective sweep regions in each largemouth bass line. Interestingly, we predicted 103 putative candidate genes potentially subjected to selection, including several associated with growth (p sst1 and grb10), early development ( klf9, sp4, and sp8), and immune traits ( pkn2, sept2, bcl6, and ripk2). These candidate genes represent potential genomic landmarks that could be used to improve important traits of biological and commercial interest. In summary, this study provides a genome-wide map of genetic variations and selection footprints in largemouth bass, which may benefit genetic studies and accelerate genetic improvement of this economically important fish.
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Affiliation(s)
- Cheng-Fei Sun
- Key Laboratory of Tropical and Subtropical Fishery Resources Application and Cultivation, Ministry of Agriculture and Rural Affairs, Pearl River Fisheries Research Institute, Chinese Academy of Fishery Sciences, Guangzhou, Guangdong 510380, China
| | - Xin-Hui Zhang
- Shenzhen Key Lab of Marine Genomics, Guangdong Provincial Key Lab of Molecular Breeding in Marine Economic Animals, BGI Academy of Marine Sciences, BGI Marine, Shenzhen, Guangdong 518081, China,College of Life Sciences, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Jun-Jian Dong
- Key Laboratory of Tropical and Subtropical Fishery Resources Application and Cultivation, Ministry of Agriculture and Rural Affairs, Pearl River Fisheries Research Institute, Chinese Academy of Fishery Sciences, Guangzhou, Guangdong 510380, China
| | - Xin-Xin You
- Shenzhen Key Lab of Marine Genomics, Guangdong Provincial Key Lab of Molecular Breeding in Marine Economic Animals, BGI Academy of Marine Sciences, BGI Marine, Shenzhen, Guangdong 518081, China,College of Life Sciences, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Yuan-Yuan Tian
- Key Laboratory of Tropical and Subtropical Fishery Resources Application and Cultivation, Ministry of Agriculture and Rural Affairs, Pearl River Fisheries Research Institute, Chinese Academy of Fishery Sciences, Guangzhou, Guangdong 510380, China
| | - Feng-Ying Gao
- Key Laboratory of Tropical and Subtropical Fishery Resources Application and Cultivation, Ministry of Agriculture and Rural Affairs, Pearl River Fisheries Research Institute, Chinese Academy of Fishery Sciences, Guangzhou, Guangdong 510380, China
| | - He-Tong Zhang
- Key Laboratory of Tropical and Subtropical Fishery Resources Application and Cultivation, Ministry of Agriculture and Rural Affairs, Pearl River Fisheries Research Institute, Chinese Academy of Fishery Sciences, Guangzhou, Guangdong 510380, China
| | - Qiong Shi
- Shenzhen Key Lab of Marine Genomics, Guangdong Provincial Key Lab of Molecular Breeding in Marine Economic Animals, BGI Academy of Marine Sciences, BGI Marine, Shenzhen, Guangdong 518081, China,College of Life Sciences, University of Chinese Academy of Sciences, Beijing 100049, China,E-mail:
| | - Xing Ye
- Key Laboratory of Tropical and Subtropical Fishery Resources Application and Cultivation, Ministry of Agriculture and Rural Affairs, Pearl River Fisheries Research Institute, Chinese Academy of Fishery Sciences, Guangzhou, Guangdong 510380, China,
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Liu H, He Y, Bai J, Zhang C, Zhang F, Yang Y, Luo H, Yu M, Liu H, Tu L, Zhang N, Yin N, Han J, Yan Z, Scarcelli NA, Conde KM, Wang M, Bean JC, Potts CHS, Wang C, Hu F, Liu F, Xu Y. Hypothalamic Grb10 enhances leptin signalling and promotes weight loss. Nat Metab 2023; 5:147-164. [PMID: 36593271 DOI: 10.1038/s42255-022-00701-x] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/03/2021] [Accepted: 10/19/2022] [Indexed: 01/04/2023]
Abstract
Leptin acts on hypothalamic neurons expressing agouti-related protein (AgRP) or pro-opiomelanocortin (POMC) to suppress appetite and increase energy expenditure, but the intracellular mechanisms that modulate central leptin signalling are not fully understood. Here we show that growth factor receptor-bound protein 10 (Grb10), an adaptor protein that binds to the insulin receptor and negatively regulates its signalling pathway, can interact with the leptin receptor and enhance leptin signalling. Ablation of Grb10 in AgRP neurons promotes weight gain, while overexpression of Grb10 in AgRP neurons reduces body weight in male and female mice. In parallel, deletion or overexpression of Grb10 in POMC neurons exacerbates or attenuates diet-induced obesity, respectively. Consistent with its role in leptin signalling, Grb10 in AgRP and POMC neurons enhances the anorexic and weight-reducing actions of leptin. Grb10 also exaggerates the inhibitory effects of leptin on AgRP neurons via ATP-sensitive potassium channel-mediated currents while facilitating the excitatory drive of leptin on POMC neurons through transient receptor potential channels. Our study identifies Grb10 as a potent leptin sensitizer that contributes to the maintenance of energy homeostasis by enhancing the response of AgRP and POMC neurons to leptin.
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Affiliation(s)
- Hailan Liu
- National Clinical Research Center for Metabolic Diseases, Metabolic Syndrome Research Center, Key Laboratory of Diabetes Immunology, Ministry of Education, Department of Metabolism and Endocrinology, The Second Xiangya Hospital of Central South University, Changsha, China
- USDA/ARS Children's Nutrition Research Center, Department of Pediatrics, Baylor College of Medicine, One Baylor Plaza, Houston, TX, USA
| | - Yang He
- USDA/ARS Children's Nutrition Research Center, Department of Pediatrics, Baylor College of Medicine, One Baylor Plaza, Houston, TX, USA
| | - Juli Bai
- National Clinical Research Center for Metabolic Diseases, Metabolic Syndrome Research Center, Key Laboratory of Diabetes Immunology, Ministry of Education, Department of Metabolism and Endocrinology, The Second Xiangya Hospital of Central South University, Changsha, China
- Department of Cell Systems & Anatomy and Department of Pharmacology, University of Texas Health Science Center at San Antonio, San Antonio, TX, USA
| | - Chuanhai Zhang
- Department of Cell Systems & Anatomy and Department of Pharmacology, University of Texas Health Science Center at San Antonio, San Antonio, TX, USA
| | - Feng Zhang
- National Clinical Research Center for Metabolic Diseases, Metabolic Syndrome Research Center, Key Laboratory of Diabetes Immunology, Ministry of Education, Department of Metabolism and Endocrinology, The Second Xiangya Hospital of Central South University, Changsha, China
| | - Yongjie Yang
- USDA/ARS Children's Nutrition Research Center, Department of Pediatrics, Baylor College of Medicine, One Baylor Plaza, Houston, TX, USA
| | - Hairong Luo
- National Clinical Research Center for Metabolic Diseases, Metabolic Syndrome Research Center, Key Laboratory of Diabetes Immunology, Ministry of Education, Department of Metabolism and Endocrinology, The Second Xiangya Hospital of Central South University, Changsha, China
| | - Meng Yu
- USDA/ARS Children's Nutrition Research Center, Department of Pediatrics, Baylor College of Medicine, One Baylor Plaza, Houston, TX, USA
| | - Hesong Liu
- USDA/ARS Children's Nutrition Research Center, Department of Pediatrics, Baylor College of Medicine, One Baylor Plaza, Houston, TX, USA
| | - Longlong Tu
- USDA/ARS Children's Nutrition Research Center, Department of Pediatrics, Baylor College of Medicine, One Baylor Plaza, Houston, TX, USA
| | - Nan Zhang
- USDA/ARS Children's Nutrition Research Center, Department of Pediatrics, Baylor College of Medicine, One Baylor Plaza, Houston, TX, USA
| | - Na Yin
- USDA/ARS Children's Nutrition Research Center, Department of Pediatrics, Baylor College of Medicine, One Baylor Plaza, Houston, TX, USA
| | - Junying Han
- USDA/ARS Children's Nutrition Research Center, Department of Pediatrics, Baylor College of Medicine, One Baylor Plaza, Houston, TX, USA
| | - Zili Yan
- USDA/ARS Children's Nutrition Research Center, Department of Pediatrics, Baylor College of Medicine, One Baylor Plaza, Houston, TX, USA
| | - Nikolas Anthony Scarcelli
- USDA/ARS Children's Nutrition Research Center, Department of Pediatrics, Baylor College of Medicine, One Baylor Plaza, Houston, TX, USA
| | - Kristine Marie Conde
- USDA/ARS Children's Nutrition Research Center, Department of Pediatrics, Baylor College of Medicine, One Baylor Plaza, Houston, TX, USA
| | - Mengjie Wang
- USDA/ARS Children's Nutrition Research Center, Department of Pediatrics, Baylor College of Medicine, One Baylor Plaza, Houston, TX, USA
| | - Jonathan Carter Bean
- USDA/ARS Children's Nutrition Research Center, Department of Pediatrics, Baylor College of Medicine, One Baylor Plaza, Houston, TX, USA
| | - Camille Hollan Sidell Potts
- USDA/ARS Children's Nutrition Research Center, Department of Pediatrics, Baylor College of Medicine, One Baylor Plaza, Houston, TX, USA
| | - Chunmei Wang
- USDA/ARS Children's Nutrition Research Center, Department of Pediatrics, Baylor College of Medicine, One Baylor Plaza, Houston, TX, USA
| | - Fang Hu
- National Clinical Research Center for Metabolic Diseases, Metabolic Syndrome Research Center, Key Laboratory of Diabetes Immunology, Ministry of Education, Department of Metabolism and Endocrinology, The Second Xiangya Hospital of Central South University, Changsha, China
| | - Feng Liu
- National Clinical Research Center for Metabolic Diseases, Metabolic Syndrome Research Center, Key Laboratory of Diabetes Immunology, Ministry of Education, Department of Metabolism and Endocrinology, The Second Xiangya Hospital of Central South University, Changsha, China.
| | - Yong Xu
- USDA/ARS Children's Nutrition Research Center, Department of Pediatrics, Baylor College of Medicine, One Baylor Plaza, Houston, TX, USA.
- Department of Molecular and Cellular Biology, Baylor College of Medicine, One Baylor Plaza, Houston, TX, USA.
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Cai Z, Liu F, Yang Y, Li D, Hu S, Song L, Yu S, Li T, Liu B, Luo H, Zhang W, Zhou Z, Zhang J. GRB10 regulates β cell mass by inhibiting β cell proliferation and stimulating β cell dedifferentiation. J Genet Genomics 2021; 49:208-216. [PMID: 34861413 DOI: 10.1016/j.jgg.2021.11.006] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2021] [Revised: 11/07/2021] [Accepted: 11/15/2021] [Indexed: 12/14/2022]
Abstract
Decreased functional β-cell mass is the hallmark of diabetes, but the cause of this metabolic defect remains elusive. Here, we show that the expression levels of the growth factor receptor-bound protein 10 (GRB10), a negative regulator of insulin and mTORC1 signaling, are markedly induced in islets of diabetic mice and high glucose-treated insulinoma cell line INS-1cells. β-cell-specific knockout of Grb10 in mice increased β-cell mass and improved β-cell function. Grb10-deficient β-cells exhibit enhanced mTORC1 signaling and reduced β-cell dedifferentiation, which could be blocked by rapamycin. On the contrary, Grb10 overexpression induced β-cell dedifferentiation in MIN6 cells. Our study identifies GRB10 as a critical regulator of β-cell dedifferentiation and β-cell mass, which exerts its effect by inhibiting mTORC1 signaling.
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Affiliation(s)
- Zixin Cai
- National Clinical Research Center for Metabolic Diseases, Metabolic Syndrome Research Center, Key Laboratory of Diabetes Immunology, Ministry of Education, and Department of Metabolism and Endocrinology, The Second Xiangya Hospital of Central South University, Changsha 410011, Hunan, China
| | - Fen Liu
- National Clinical Research Center for Metabolic Diseases, Metabolic Syndrome Research Center, Key Laboratory of Diabetes Immunology, Ministry of Education, and Department of Metabolism and Endocrinology, The Second Xiangya Hospital of Central South University, Changsha 410011, Hunan, China
| | - Yan Yang
- National Clinical Research Center for Metabolic Diseases, Metabolic Syndrome Research Center, Key Laboratory of Diabetes Immunology, Ministry of Education, and Department of Metabolism and Endocrinology, The Second Xiangya Hospital of Central South University, Changsha 410011, Hunan, China
| | - Dandan Li
- National Clinical Research Center for Metabolic Diseases, Metabolic Syndrome Research Center, Key Laboratory of Diabetes Immunology, Ministry of Education, and Department of Metabolism and Endocrinology, The Second Xiangya Hospital of Central South University, Changsha 410011, Hunan, China
| | - Shanbiao Hu
- Department of Urological Organ Transplantation, the Second Xiangya Hospital of Central South University, Changsha, Hunan 410011, China
| | - Lei Song
- Department of Urological Organ Transplantation, the Second Xiangya Hospital of Central South University, Changsha, Hunan 410011, China
| | - Shaojie Yu
- Department of Urological Organ Transplantation, the Second Xiangya Hospital of Central South University, Changsha, Hunan 410011, China
| | - Ting Li
- Department of Liver Organ Transplantation, the Second Xiangya Hospital of Central South University, Changsha, Hunan 410011, China
| | - Bilian Liu
- National Clinical Research Center for Metabolic Diseases, Metabolic Syndrome Research Center, Key Laboratory of Diabetes Immunology, Ministry of Education, and Department of Metabolism and Endocrinology, The Second Xiangya Hospital of Central South University, Changsha 410011, Hunan, China
| | - Hairong Luo
- National Clinical Research Center for Metabolic Diseases, Metabolic Syndrome Research Center, Key Laboratory of Diabetes Immunology, Ministry of Education, and Department of Metabolism and Endocrinology, The Second Xiangya Hospital of Central South University, Changsha 410011, Hunan, China
| | - Weiping Zhang
- Department of Pathophysiology, Naval Medical University, Shanghai 200433, China
| | - Zhiguang Zhou
- National Clinical Research Center for Metabolic Diseases, Metabolic Syndrome Research Center, Key Laboratory of Diabetes Immunology, Ministry of Education, and Department of Metabolism and Endocrinology, The Second Xiangya Hospital of Central South University, Changsha 410011, Hunan, China
| | - Jingjing Zhang
- National Clinical Research Center for Metabolic Diseases, Metabolic Syndrome Research Center, Key Laboratory of Diabetes Immunology, Ministry of Education, and Department of Metabolism and Endocrinology, The Second Xiangya Hospital of Central South University, Changsha 410011, Hunan, China.
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7
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Scagliotti V, Esse R, Willis TL, Howard M, Carrus I, Lodge E, Andoniadou CL, Charalambous M. Dynamic Expression of Imprinted Genes in the Developing and Postnatal Pituitary Gland. Genes (Basel) 2021; 12:genes12040509. [PMID: 33808370 PMCID: PMC8066104 DOI: 10.3390/genes12040509] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2021] [Revised: 03/22/2021] [Accepted: 03/23/2021] [Indexed: 12/19/2022] Open
Abstract
In mammals, imprinted genes regulate many critical endocrine processes such as growth, the onset of puberty and maternal reproductive behaviour. Human imprinting disorders (IDs) are caused by genetic and epigenetic mechanisms that alter the expression dosage of imprinted genes. Due to improvements in diagnosis, increasing numbers of patients with IDs are now identified and monitored across their lifetimes. Seminal work has revealed that IDs have a strong endocrine component, yet the contribution of imprinted gene products in the development and function of the hypothalamo-pituitary axis are not well defined. Postnatal endocrine processes are dependent upon the production of hormones from the pituitary gland. While the actions of a few imprinted genes in pituitary development and function have been described, to date there has been no attempt to link the expression of these genes as a class to the formation and function of this essential organ. This is important because IDs show considerable overlap, and imprinted genes are known to define a transcriptional network related to organ growth. This knowledge deficit is partly due to technical difficulties in obtaining useful transcriptomic data from the pituitary gland, namely, its small size during development and cellular complexity in maturity. Here we utilise high-sensitivity RNA sequencing at the embryonic stages, and single-cell RNA sequencing data to describe the imprinted transcriptome of the pituitary gland. In concert, we provide a comprehensive literature review of the current knowledge of the role of imprinted genes in pituitary hormonal pathways and how these relate to IDs. We present new data that implicate imprinted gene networks in the development of the gland and in the stem cell compartment. Furthermore, we suggest novel roles for individual imprinted genes in the aetiology of IDs. Finally, we describe the dynamic regulation of imprinted genes in the pituitary gland of the pregnant mother, with implications for the regulation of maternal metabolic adaptations to pregnancy.
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Affiliation(s)
- Valeria Scagliotti
- Department of Medical and Molecular Genetics, Faculty of Life Sciences and Medicine, King’s College London, London SE19RT, UK; (V.S.); (R.C.F.E.); (I.C.)
| | - Ruben Esse
- Department of Medical and Molecular Genetics, Faculty of Life Sciences and Medicine, King’s College London, London SE19RT, UK; (V.S.); (R.C.F.E.); (I.C.)
| | - Thea L. Willis
- Centre for Craniofacial and Regenerative Biology, Faculty of Dentistry, Oral and Craniofacial Sciences, King’s College London, London SE19RT, UK; (T.L.W.); (E.L.); (C.L.A.)
| | - Mark Howard
- MRC Centre for Transplantation, Peter Gorer Department of Immunobiology, School of Immunology & Microbial Sciences, King’s College London, London SE19RT, UK;
| | - Isabella Carrus
- Department of Medical and Molecular Genetics, Faculty of Life Sciences and Medicine, King’s College London, London SE19RT, UK; (V.S.); (R.C.F.E.); (I.C.)
| | - Emily Lodge
- Centre for Craniofacial and Regenerative Biology, Faculty of Dentistry, Oral and Craniofacial Sciences, King’s College London, London SE19RT, UK; (T.L.W.); (E.L.); (C.L.A.)
| | - Cynthia L. Andoniadou
- Centre for Craniofacial and Regenerative Biology, Faculty of Dentistry, Oral and Craniofacial Sciences, King’s College London, London SE19RT, UK; (T.L.W.); (E.L.); (C.L.A.)
- Department of Medicine III, University Hospital Carl Gustav Carus, Technische Universität Dresden, 01307 Dresden, Germany
| | - Marika Charalambous
- Department of Medical and Molecular Genetics, Faculty of Life Sciences and Medicine, King’s College London, London SE19RT, UK; (V.S.); (R.C.F.E.); (I.C.)
- Correspondence:
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8
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Bai Y, Liu J, Yang L, Zhong L. New insights into serum/extracellular thioredoxin in regulating hepatic insulin receptor activation. Biochim Biophys Acta Gen Subj 2020; 1864:129630. [PMID: 32376199 DOI: 10.1016/j.bbagen.2020.129630] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2020] [Revised: 04/15/2020] [Accepted: 04/28/2020] [Indexed: 01/02/2023]
Abstract
BACKGROUND Serum thioredoxin of type-2 diabetic patients is significantly higher than that of healthy people. Pathophysiological significance is unclear. METHODS Effects of serum/extracellular thioredoxin on phosphorylation (activation) of hepatic insulin receptor (IR) were investigated by using methods in biochemistry, cell/molecular biology and mass spectrometry. RESULTS In human serum, thioredoxin and insulin may interact. Their mixture contains a mixed disulfide between insulin B-chain and thioredoxin-Cys73, which limits their activities. In contrast, free form of serum/extracellular thioredoxin is active, and can regulate phosphorylation of insulin receptor β-subunits (IRβ) via direct/indirect mechanisms. The direct mechanism associates with positive regulation. Serum/extracellular thioredoxin increases insulin binding to IR, facilitating insulin-induced phosphorylation of IRβ and downstream AKT. The indirect mechanism is involved in negative regulation. Entry of extracellular thioredoxin into hepatic cells via IR enhances the expression and activity of cellular protein-tyrosine phosphatase 1B (PTP1B), which negatively regulates IRβ phosphorylation. After coordination between these two mechanisms, the positive impact of serum/extracellular thioredoxin overwhelms its negative impact on IRβ phosphorylation, which subsequently accelerates hepatic glucose uptake. In hepatic cells with thioredoxin deficiency, insulin-induced IRβ phosphorylation is decreased, which could be restored by extracellular thioredoxin entry. Moreover, the results from assaying 475 serum samples demonstrate a discriminating value of serum thioredoxin activity in diagnosing type-2 diabetes. CONCLUSION Serum/extracellular thioredoxin plays a critical role in regulating hepatic IRβ phosphorylation. GENERAL SIGNIFICANCE In case of insulin resistance/type-2 diabetes, hepatic IRβ is at low phosphorylation level, thereby the improvement effect of serum/extracellular thioredoxin on insulin-induced IRβ phosphorylation seems particularly important.
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Affiliation(s)
- Yun Bai
- Medical School, University of Chinese Academy of Sciences, the Campus of Yanqi, Huai Rou, Beijing 101407, China
| | - Jia Liu
- Medical School, University of Chinese Academy of Sciences, the Campus of Yanqi, Huai Rou, Beijing 101407, China
| | - Lijuan Yang
- Department of Endocrinology, Chinese PLA General Hospital, Beijing 100853, China.
| | - Liangwei Zhong
- Medical School, University of Chinese Academy of Sciences, the Campus of Yanqi, Huai Rou, Beijing 101407, China.
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9
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Edick AM, Auclair O, Burgos SA. Role of Grb10 in mTORC1-dependent regulation of insulin signaling and action in human skeletal muscle cells. Am J Physiol Endocrinol Metab 2020; 318:E173-E183. [PMID: 31794259 DOI: 10.1152/ajpendo.00025.2019] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/22/2023]
Abstract
Growth factor receptor-bound protein 10 (Grb10) is an adaptor protein that binds to the insulin receptor, upon which insulin signaling and action are thought to be inhibited. Grb10 is also a substrate for the mechanistic target of rapamycin complex 1 (mTORC1) that mediates its feedback inhibition on phosphatidylinositide 3-kinase (PI3K)/Akt signaling. To characterize the function of Grb10 and its regulation by mTORC1 in human muscle, primary skeletal muscle cells were isolated from healthy lean young men and then induced to differentiate into myotubes. Knockdown of Grb10 enhanced insulin-induced PI3K/Akt signaling and glucose uptake in myotubes, reinforcing the notion underlying its function as a negative regulator of insulin action in human muscle. The increased insulin responsiveness in Grb10-silenced myotubes was associated with a higher abundance of the insulin receptor. Furthermore, insulin and amino acids independently and additively stimulated phosphorylation of Grb10 at Ser476. However, acute inhibition of mTORC1 with rapamycin blocked Grb10 Ser476 phosphorylation and repressed a negative-feedback loop on PI3K/Akt signaling that increased myotube responsiveness to insulin. Chronic rapamycin treatment reduced Grb10 protein abundance in conjunction with increased insulin receptor protein levels. Based on these findings, we propose that mTORC1 controls PI3K/Akt signaling through modulation of insulin receptor abundance by Grb10. These findings have potential implications for obesity-linked insulin resistance, as well as clinical use of mTORC1 inhibitors.
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Affiliation(s)
- Ashlin M Edick
- Department of Animal Science, McGill University, Sainte-Anne-de-Bellevue, Quebec, Canada
| | - Olivia Auclair
- Department of Animal Science, McGill University, Sainte-Anne-de-Bellevue, Quebec, Canada
| | - Sergio A Burgos
- Department of Animal Science, McGill University, Sainte-Anne-de-Bellevue, Quebec, Canada
- Department of Medicine, McGill University, Montreal, Quebec, Canada
- Metabolic Disorders and Complications Program, Research Institute of McGill University Health Centre, Montreal, Quebec, Canada
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10
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Khan MI, Al Johani A, Hamid A, Ateeq B, Manzar N, Adhami VM, Lall RK, Rath S, Sechi M, Siddiqui IA, Choudhry H, Zamzami MA, Havighurst TC, Huang W, Ntambi JM, Mukhtar H. Proproliferative function of adaptor protein GRB10 in prostate carcinoma. FASEB J 2019; 33:3198-3211. [PMID: 30379590 PMCID: PMC6404554 DOI: 10.1096/fj.201800265rr] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
Growth factor receptor-binding protein 10 (GRB10) is a well-known adaptor protein and a recently identified substrate of the mammalian target of rapamycin (mTOR). Depletion of GRB10 increases insulin sensitivity and overexpression suppresses PI3K/Akt signaling. Because the major reason for the limited efficacy of PI3K/Akt-targeted therapies in prostate cancer (PCa) is loss of mTOR-regulated feedback suppression, it is therefore important to assess the functional importance and regulation of GRB10 under these conditions. On the basis of these background observations, we explored the status and functional impact of GRB10 in PCa and found maximum expression in phosphatase and tensin homolog (PTEN)-deficient PCa. In human PCa samples, GRB10 inversely correlated with PTEN and positively correlated with pAKT levels. Knockdown of GRB10 in nontumorigenic PTEN null mouse embryonic fibroblasts and tumorigenic PCa cell lines reduced Akt phosphorylation and selectively activated a panel of receptor tyrosine kinases. Similarly, overexpression of GRB10 in PTEN wild-type PCa cell lines accelerated tumorigenesis and induced Akt phosphorylation. In PTEN wild-type PCa, GRB10 overexpression promoted mediated PTEN interaction and degradation. PI3K (but not mTOR) inhibitors reduced GRB10 expression, suggesting primarily PI3K-driven regulation of GRB10. In summary, our results suggest that GRB10 acts as a major downstream effector of PI3K and has tumor-promoting effects in prostate cancer.-Khan, M. I., Al Johani, A., Hamid, A., Ateeq, B., Manzar, N., Adhami, V. M., Lall, R. K., Rath, S., Sechi, M., Siddiqui, I. A., Choudhry, H., Zamzami, M. A., Havighurst, T. C., Huang, W., Ntambi, J. M., Mukhtar, H. Proproliferatve function of adaptor protein GRB10 in prostate carcinoma.
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Affiliation(s)
- Mohammad Imran Khan
- Department of Biochemistry, Faculty of Science, King Abdulaziz University, Jeddah, Saudi Arabia;,Cancer Metabolism and Epigenetic Unit, Faculty of Science, King Abdulaziz University, Jeddah, Saudi Arabia;,Department of Dermatology, School of Medicine and Public Health, University of Wisconsin, Madison, Wisconsin, USA;,Correspondence: Department of Biochemistry, Faculty of Science, King Abdulaziz University, Jeddah 21589, Saudi Arabia. E-mail:
| | - Ahmed Al Johani
- Department of Biochemistry, School of Medicine and Public Health, University of Wisconsin, Madison, Wisconsin, USA
| | - Abid Hamid
- Department of Dermatology, School of Medicine and Public Health, University of Wisconsin, Madison, Wisconsin, USA
| | - Bushra Ateeq
- Department of Biological Sciences and Bioengineering, Molecular Oncology Laboratory, Indian Institute of Technology–Kanpur (IIT–K), Kanpur, India
| | - Nishat Manzar
- Department of Biological Sciences and Bioengineering, Molecular Oncology Laboratory, Indian Institute of Technology–Kanpur (IIT–K), Kanpur, India
| | - Vaqar Mustafa Adhami
- Department of Dermatology, School of Medicine and Public Health, University of Wisconsin, Madison, Wisconsin, USA
| | - Rahul K. Lall
- Department of Dermatology, School of Medicine and Public Health, University of Wisconsin, Madison, Wisconsin, USA
| | - Suvasmita Rath
- Department of Dermatology, School of Medicine and Public Health, University of Wisconsin, Madison, Wisconsin, USA
| | - Mario Sechi
- Department of Chemistry and Pharmacy, University of Sassari, Sassari, Italy
| | - Imtiaz Ahmad Siddiqui
- Department of Dermatology, School of Medicine and Public Health, University of Wisconsin, Madison, Wisconsin, USA
| | - Hani Choudhry
- Department of Biochemistry, Faculty of Science, King Abdulaziz University, Jeddah, Saudi Arabia;,Cancer Metabolism and Epigenetic Unit, Faculty of Science, King Abdulaziz University, Jeddah, Saudi Arabia
| | - Mazin A. Zamzami
- Department of Biochemistry, Faculty of Science, King Abdulaziz University, Jeddah, Saudi Arabia;,Cancer Metabolism and Epigenetic Unit, Faculty of Science, King Abdulaziz University, Jeddah, Saudi Arabia
| | - Thomas C. Havighurst
- Department of Biostatistics and Medical Informatics, School of Medicine and Public Health, University of Wisconsin, Madison, Wisconsin, USA
| | - Wei Huang
- Department of Pathology and Laboratory Medicine, School of Medicine and Public Health, University of Wisconsin, Madison, Wisconsin, USA
| | - James M. Ntambi
- Department of Biochemistry, School of Medicine and Public Health, University of Wisconsin, Madison, Wisconsin, USA
| | - Hasan Mukhtar
- Department of Dermatology, School of Medicine and Public Health, University of Wisconsin, Madison, Wisconsin, USA
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11
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Xu L, Yang L, Wang L, Zhu B, Chen Y, Gao H, Gao X, Zhang L, Liu GE, Li J. Probe-based association analysis identifies several deletions associated with average daily gain in beef cattle. BMC Genomics 2019; 20:31. [PMID: 30630414 PMCID: PMC6327516 DOI: 10.1186/s12864-018-5403-5] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/18/2018] [Accepted: 12/20/2018] [Indexed: 12/20/2022] Open
Abstract
BACKGROUND Average daily gain (ADG) is an important trait that contributes to the production efficiency and economic benefits in the beef cattle industry. The molecular mechanisms of ADG have not yet been fully explored because most recent association studies for ADG are based on SNPs or haplotypes. We reported a systematic CNV discovery and association analysis for ADG in Chinese Simmental beef cattle. RESULTS Our study identified 4912 nonredundant CNVRs with a total length of ~ 248.7 Mb, corresponding to ~ 8.9% of the cattle genome. Using probe-based CNV association, we identified 24 and 12 significant SNP probes within five deletions and two duplications for ADG, respectively. Among them, we found one common deletion with 89 kb imbedded in LHFPL Tetraspan Subfamily Member 6 (LHFPL6) at 22.9 Mb on BTA12, which has high frequency (12.9%) dispersing across population. CNV selection test using VST statistic suggested this common deletion may be under positive selection in Chinese Simmental cattle. Moreover, this deletion was not overlapped with any candidate SNP for ADG compared with previous SNPs-based association studies, suggesting its important role for ADG. In addition, we identified one rare deletion near gene Growth Factor Receptor-bound Protein 10 (GRB10) at 5.1 Mb on BTA4 for ADG using both probe-based association and region-based approaches. CONCLUSIONS Our results provided some valuable insights to elucidate the genetic basis of ADG in beef cattle, and these findings offer an alternative perspective to understand the genetic mechanism of complex traits in terms of copy number variations in farm animals.
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Affiliation(s)
- Lingyang Xu
- Innovation Team of Cattle Genetic Breeding, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100193, China.
| | - Liu Yang
- Innovation Team of Cattle Genetic Breeding, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100193, China.,Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, Sichuan Agricultural University, Chengdu, 611130, China
| | - Lei Wang
- Beijing Genecast Biotechnology Co., Beijing, 100191, China
| | - Bo Zhu
- Innovation Team of Cattle Genetic Breeding, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100193, China
| | - Yan Chen
- Innovation Team of Cattle Genetic Breeding, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100193, China
| | - Huijiang Gao
- Innovation Team of Cattle Genetic Breeding, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100193, China
| | - Xue Gao
- Innovation Team of Cattle Genetic Breeding, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100193, China
| | - Lupei Zhang
- Innovation Team of Cattle Genetic Breeding, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100193, China
| | - George E Liu
- U.S. Department of Agriculture-Agricultural Research Services, Animal Genomics and Improvement Laboratory, Beltsville, MD, 20705, USA.
| | - Junya Li
- Innovation Team of Cattle Genetic Breeding, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100193, China.
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12
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Luo L, Jiang W, Liu H, Bu J, Tang P, Du C, Xu Z, Luo H, Liu B, Xiao B, Zhou Z, Liu F. De-silencing Grb10 contributes to acute ER stress-induced steatosis in mouse liver. J Mol Endocrinol 2018; 60:285-297. [PMID: 29555819 DOI: 10.1530/jme-18-0018] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/20/2018] [Accepted: 03/19/2018] [Indexed: 12/14/2022]
Abstract
The growth factor receptor bound protein GRB10 is an imprinted gene product and a key negative regulator of the insulin, IGF1 and mTORC1 signaling pathways. GRB10 is highly expressed in mouse fetal liver but almost completely silenced in adult mice, suggesting a potential detrimental role of this protein in adult liver function. Here we show that the Grb10 gene could be reactivated in adult mouse liver by acute endoplasmic reticulum stress (ER stress) such as tunicamycin or a short-term high-fat diet (HFD) challenge, concurrently with increased unfolded protein response (UPR) and hepatosteatosis. Lipogenic gene expression and acute ER stress-induced hepatosteatosis were significantly suppressed in the liver of the liver-specific GRB10 knockout mice, uncovering a key role of Grb10 reactivation in acute ER stress-induced hepatic lipid dysregulation. Mechanically, acute ER stress induces Grb10 reactivation via an ATF4-mediated increase in Grb10 gene transcription. Our study demonstrates for the first time that the silenced Grb10 gene can be reactivated by acute ER stress and its reactivation plays an important role in the early development of hepatic steatosis.
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Affiliation(s)
- Liping Luo
- Department of Metabolism and Endocrinology and the Metabolic Syndrome Research Center of Central South UniversityThe Second Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Wanxiang Jiang
- Department of Metabolism and Endocrinology and the Metabolic Syndrome Research Center of Central South UniversityThe Second Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Hui Liu
- Department of Metabolism and Endocrinology and the Metabolic Syndrome Research Center of Central South UniversityThe Second Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Jicheng Bu
- Department of Metabolism and Endocrinology and the Metabolic Syndrome Research Center of Central South UniversityThe Second Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Ping Tang
- The State Key Laboratory of BiotherapyWest China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Chongyangzi Du
- The State Key Laboratory of BiotherapyWest China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Zhipeng Xu
- Department of Metabolism and Endocrinology and the Metabolic Syndrome Research Center of Central South UniversityThe Second Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Hairong Luo
- Department of Metabolism and Endocrinology and the Metabolic Syndrome Research Center of Central South UniversityThe Second Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Bilian Liu
- Department of Metabolism and Endocrinology and the Metabolic Syndrome Research Center of Central South UniversityThe Second Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Bo Xiao
- Department of Metabolism and Endocrinology and the Metabolic Syndrome Research Center of Central South UniversityThe Second Xiangya Hospital, Central South University, Changsha, Hunan, China
- The State Key Laboratory of BiotherapyWest China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Zhiguang Zhou
- Department of Metabolism and Endocrinology and the Metabolic Syndrome Research Center of Central South UniversityThe Second Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Feng Liu
- Department of Metabolism and Endocrinology and the Metabolic Syndrome Research Center of Central South UniversityThe Second Xiangya Hospital, Central South University, Changsha, Hunan, China
- Department of PharmacologyUniversity of Texas Health Science Center at San Antonio, San Antonio, Texas, USA
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13
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Laguna-Barraza R, Sánchez-Calabuig MJ, Gutiérrez-Adán A, Rizos D, Pérez-Cerezales S. Effects of the HDAC inhibitor scriptaid on the in vitro development of bovine embryos and on imprinting gene expression levels. Theriogenology 2018; 110:79-85. [PMID: 29353144 DOI: 10.1016/j.theriogenology.2017.12.043] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/19/2017] [Revised: 12/11/2017] [Accepted: 12/29/2017] [Indexed: 01/12/2023]
Abstract
This study examines the effects of the histone deacetylation inhibitor scriptaid (SCR) on preimplantation embryo development in vitro and on imprinting gene expression. We hypothesized that SCR would increase histone acetylation levels, enhance embryonic genome activation, and regulate imprinting and X-chromosome inactivation (XCI) in in vitro produced bovine embryos. Zygotes were cultured in vitro in presence or absence of SCR added at different time points. We assessed cleavage and blastocyst rates as well as the quality of blastocysts through: (i) differential cell counts; (ii) survival after vitrification/thawing and (iii) gene expression analysis -including imprinted genes. Blastocyst yields were not different in the control and experimental groups. While no significant differences were observed between groups in total cell or trophectoderm cell numbers, SCR treatment reduced the number of inner cell mass cells and improved the survival of vitrified embryos. Further, genes involved in the mechanism of paternal imprinting (GRB10, GNAS, XIST) were downregulated in presence of SCR compared with controls. These observations suggest SCR prevents deacetylation of paternally imprinting control regions and/or their up-regulation, as these events took place in controls. Whether or not such reductions in XIST and imprinting gene expression are beneficial for post implantation development remains to be clarified.
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Affiliation(s)
| | - M J Sánchez-Calabuig
- Dpto de Reproducción Animal, INIA, Madrid, Spain; Dpto de Medicina y Cirugía Animal, Facultad de Veterinaria, UCM, Madrid, Spain
| | | | - D Rizos
- Dpto de Reproducción Animal, INIA, Madrid, Spain
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14
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Identification of novel alleles associated with insulin resistance in childhood obesity using pooled-DNA genome-wide association study approach. Int J Obes (Lond) 2017; 42:686-695. [PMID: 29188820 PMCID: PMC5984073 DOI: 10.1038/ijo.2017.293] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/17/2017] [Revised: 10/05/2017] [Accepted: 11/09/2017] [Indexed: 02/07/2023]
Abstract
Background: Recently, we witnessed great progress in the discovery of genetic variants associated with obesity and type 2 diabetes (T2D), especially in adults. Much less is known regarding genetic variants associated with insulin resistance (IR). We hypothesized that novel IR genes could be efficiently detected in a population of obese children and adolescents who may not exhibit comorbidities and other confounding factors. Objectives: This study aimed to determine whether a genome-wide association study (GWAS), using a DNA-pooling approach, could identify novel genes associated with IR. Subjects: The pooled-DNA GWAS analysis included Slovenian obese children and adolescents with and without IR matched for body mass index, gender and age. A replication study was conducted in another independent cohort with or without IR. Methods: For the pooled-DNA GWAS, we used HumanOmni5-Quad SNP array (Illumina). Allele frequency distributions were compared with modified t-tests and χ2-tests and ranked using PLINK. Top single nucleotide polymorphisms (SNPs) were validated using individual genotyping by high-resolution melting analysis and TaqMan assay. Results: We identified five top-ranking SNPs from the pooled-DNA GWAS analysis within the ECE1, IL1R2, GNPDA1, HLA-J and PYGB loci. All except SNP rs9261108 (HLA-J locus) were confirmed in the validation phase using individual genotyping. The SNP rs2258617 within PYGB remained statistically significant for both recessive and additive models in both cohorts and in a merged analysis of both cohorts and present the strongest novel candidate gene for IR. Conclusion: We report for the first time a pooled-DNA GWAS approach to identify five novel SNPs or genes for IR in a paediatric population. The four loci confirmed in the second validation phase study warrant further studies, especially the strongest SNP rs2258617 within PYGB, and provide targets for further basic research of IR mechanisms and for the development of potential new IR and T2D therapies.
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15
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Belfiore A, Malaguarnera R, Vella V, Lawrence MC, Sciacca L, Frasca F, Morrione A, Vigneri R. Insulin Receptor Isoforms in Physiology and Disease: An Updated View. Endocr Rev 2017; 38:379-431. [PMID: 28973479 PMCID: PMC5629070 DOI: 10.1210/er.2017-00073] [Citation(s) in RCA: 248] [Impact Index Per Article: 35.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/31/2017] [Accepted: 06/13/2017] [Indexed: 02/08/2023]
Abstract
The insulin receptor (IR) gene undergoes differential splicing that generates two IR isoforms, IR-A and IR-B. The physiological roles of IR isoforms are incompletely understood and appear to be determined by their different binding affinities for insulin-like growth factors (IGFs), particularly for IGF-2. Predominant roles of IR-A in prenatal growth and development and of IR-B in metabolic regulation are well established. However, emerging evidence indicates that the differential expression of IR isoforms may also help explain the diversification of insulin and IGF signaling and actions in various organs and tissues by involving not only different ligand-binding affinities but also different membrane partitioning and trafficking and possibly different abilities to interact with a variety of molecular partners. Of note, dysregulation of the IR-A/IR-B ratio is associated with insulin resistance, aging, and increased proliferative activity of normal and neoplastic tissues and appears to sustain detrimental effects. This review discusses novel information that has generated remarkable progress in our understanding of the physiology of IR isoforms and their role in disease. We also focus on novel IR ligands and modulators that should now be considered as an important strategy for better and safer treatment of diabetes and cancer and possibly other IR-related diseases.
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Affiliation(s)
- Antonino Belfiore
- Endocrinology, Department of Health Sciences, University Magna Graecia of Catanzaro, 88100 Catanzaro, Italy
| | - Roberta Malaguarnera
- Endocrinology, Department of Health Sciences, University Magna Graecia of Catanzaro, 88100 Catanzaro, Italy
| | - Veronica Vella
- School of Human and Social Sciences, University Kore of Enna, via della Cooperazione, 94100 Enna, Italy
| | - Michael C. Lawrence
- Structural Biology Division, Walter and Eliza Hall Institute of Medical Research, Parkville, Victoria 3052, Australia
- Department of Medical Biology, University of Melbourne, Parkville, Victoria 3010, Australia
| | - Laura Sciacca
- Endocrinology, Department of Clinical and Experimental Medicine, University of Catania, Garibaldi-Nesima Hospital, 95122 Catania, Italy
| | - Francesco Frasca
- Endocrinology, Department of Clinical and Experimental Medicine, University of Catania, Garibaldi-Nesima Hospital, 95122 Catania, Italy
| | - Andrea Morrione
- Department of Urology and Biology of Prostate Cancer Program, Sidney Kimmel Cancer Center, Thomas Jefferson University, Philadelphia, Pennsylvania 19107
| | - Riccardo Vigneri
- Endocrinology, Department of Clinical and Experimental Medicine, University of Catania, Garibaldi-Nesima Hospital, 95122 Catania, Italy
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16
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García-Palmero I, Pompas-Veganzones N, Villalobo E, Gioria S, Haiech J, Villalobo A. The adaptors Grb10 and Grb14 are calmodulin-binding proteins. FEBS Lett 2017; 591:1176-1186. [PMID: 28295264 DOI: 10.1002/1873-3468.12623] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2017] [Accepted: 03/06/2017] [Indexed: 01/24/2023]
Abstract
We identified the Grb7 family members, Grb10 and Grb14, as Ca2+ -dependent CaM-binding proteins using Ca2+ -dependent CaM-affinity chromatography as we previously did with Grb7. The potential CaM-binding sites were identified and experimentally tested using fluorescent-labeled peptides corresponding to these sites. The apparent affinity constant of these peptides for CaM, and the minimum number of calcium ions bound to CaM that are required for effective binding to these peptides were also determined. We prepared deletion mutants of the three adaptor proteins lacking the identified sites and determined that they lost or strongly diminished their CaM-binding capacity following the sequence Grb7 > > Grb14 > Grb10. More than one CaM-binding site and/or accessory CaM-binding sites appear to exist in Grb10 and Grb14, as compared to a single one present in Grb7.
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Affiliation(s)
- Irene García-Palmero
- Department of Cancer Biology, Instituto de Investigaciones Biomédicas, Consejo Superior de Investigaciones Científicas and Universidad Autónoma de Madrid, Spain
| | - Noemí Pompas-Veganzones
- Department of Cancer Biology, Instituto de Investigaciones Biomédicas, Consejo Superior de Investigaciones Científicas and Universidad Autónoma de Madrid, Spain
| | - Eduardo Villalobo
- Departamento de Microbiología, Facultad de Biología, Universidad de Sevilla, Spain
| | - Sophie Gioria
- Plate-forme de Chimie Biologique Intégrative de Strasbourg (PCBIS), UMS 3286 CNRS-Université de Strasbourg, France
| | - Jacques Haiech
- Laboratoire d'Excellence Medalis, Université de Strasbourg, CNRS, LIT UMR 7200, France
| | - Antonio Villalobo
- Department of Cancer Biology, Instituto de Investigaciones Biomédicas, Consejo Superior de Investigaciones Científicas and Universidad Autónoma de Madrid, Spain
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17
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Doroszko M, Chrusciel M, Belling K, Vuorenoja S, Dalgaard M, Leffers H, Nielsen HB, Huhtaniemi I, Toppari J, Rahman NA. Novel genes involved in pathophysiology of gonadotropin-dependent adrenal tumors in mice. Mol Cell Endocrinol 2017; 444:9-18. [PMID: 28131743 DOI: 10.1016/j.mce.2017.01.036] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/09/2016] [Revised: 01/21/2017] [Accepted: 01/22/2017] [Indexed: 02/01/2023]
Abstract
Specific inbred strains and transgenic inhibin-α Simian Virus 40 T antigen (inhα/Tag) mice are genetically susceptible to gonadectomy-induced adrenocortical neoplasias. We identified altered gene expression in prepubertally gonadectomized (GDX) inhα/Tag and wild-type (WT) mice. Besides earlier reported Gata4 and Lhcgr, we found up-regulated Esr1, Prlr-rs1, and down-regulated Grb10, Mmp24, Sgcd, Rerg, Gnas, Nfatc2, Gnrhr, Igf2 in inhα/Tag adrenal tumors. Sex-steroidogenic enzyme genes expression (Srd5a1, Cyp19a1) was up-regulated in tumors, but adrenal-specific steroidogenic enzyme (Cyp21a1, Cyp11b1, Cyp11b2) down-regulated. We localized novel Lhcgr transcripts in adrenal cortex parenchyma and in non-steroidogenic A cells, in GDX WT and in intact WT mice. We identified up-regulated Esr1 as a potential novel biomarker of gonadectomy-induced adrenocortical tumors in inhα/Tag mice presenting with an inverted adrenal-to-gonadal steroidogenic gene expression profile. A putative normal adrenal remodeling or tumor suppressor role of the down-regulated genes (e.g. Grb10, Rerg, Gnas, and Nfatc2) in the tumors remains to be addressed.
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Affiliation(s)
- Milena Doroszko
- Department of Physiology, Institute of Biomedicine, University of Turku, Finland
| | - Marcin Chrusciel
- Department of Physiology, Institute of Biomedicine, University of Turku, Finland
| | - Kirstine Belling
- DTU Multi-Assay Core, Department of Biotechnology and Biomedicine, Technical University of Denmark, Kongens Lyngby, Denmark
| | - Susanna Vuorenoja
- Department of Physiology, Institute of Biomedicine, University of Turku, Finland
| | - Marlene Dalgaard
- DTU Multi-Assay Core, Department of Biotechnology and Biomedicine, Technical University of Denmark, Kongens Lyngby, Denmark
| | - Henrik Leffers
- DTU Multi-Assay Core, Department of Biotechnology and Biomedicine, Technical University of Denmark, Kongens Lyngby, Denmark
| | - H Bjørn Nielsen
- DTU Multi-Assay Core, Department of Biotechnology and Biomedicine, Technical University of Denmark, Kongens Lyngby, Denmark
| | - Ilpo Huhtaniemi
- Department of Physiology, Institute of Biomedicine, University of Turku, Finland; Institute of Reproductive and Developmental Biology, Imperial College London, London, UK
| | - Jorma Toppari
- Department of Physiology, Institute of Biomedicine, University of Turku, Finland; Department of Pediatrics, Turku University Hospital, Turku, Finland
| | - Nafis A Rahman
- Department of Physiology, Institute of Biomedicine, University of Turku, Finland; Department of Reproduction and Gynecological Endocrinology, Medical University of Bialystok, Poland.
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18
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Aravindan S, Ramraj S, Kandasamy K, Thirugnanasambandan SS, Somasundaram DB, Herman TS, Aravindan N. Hormophysa triquerta polyphenol, an elixir that deters CXCR4- and COX2-dependent dissemination destiny of treatment-resistant pancreatic cancer cells. Oncotarget 2017; 8:5717-5734. [PMID: 27974694 PMCID: PMC5351584 DOI: 10.18632/oncotarget.13900] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2016] [Accepted: 11/23/2016] [Indexed: 12/20/2022] Open
Abstract
Therapy-resistant pancreatic cancer (PC) cells play a crucial role in tumor relapse, recurrence, and metastasis. Recently, we showed the anti-PC potential of an array of seaweed polyphenols and identified efficient drug deliverables. Herein, we investigated the benefit of one such deliverable, Hormophysa triquerta polyphenol (HT-EA), in regulating the dissemination physiognomy of therapy-resistant PC cells in vitro,and residual PC in vivo. Human PC cells exposed to ionizing radiation (IR), with/without HT-EA pre-treatment were examined for the alterations in the tumor invasion/metastasis (TIM) transcriptome (93 genes, QPCR-profiling). Utilizing a mouse model of residual PC, we investigated the benefit of HT-EA in the translation regulation of crucial TIM targets (TMA-IHC). Radiation activated 30, 50, 15, and 38 TIM molecules in surviving Panc-1, Panc-3.27, BxPC3, and MiaPaCa-2 cells. Of these, 15, 44, 12, and 26 molecules were suppressed with HT-EA pre-treatment. CXCR4 and COX2 exhibited cell-line-independent increases after IR, and was completely suppressed with HT-EA, across all PC cells. HT-EA treatment resulted in translational repression of IR-induced CXCR4, COX2, β-catenin, MMP9, Ki-67, BAPX, PhPT-1, MEGF10, and GRB10 in residual PC. Muting CXCR4 or COX2 regulated the migration/invasion potential of IR-surviving cells, while forced expression of CXCR4 or COX2 significantly increased migration/invasion capabilities of PC cells. Further, treatment with HT-EA significantly inhibited IR-induced and CXCR4/COX2 forced expression-induced PC cell migration/invasion. This study (i) documents the TIM blueprint in therapy-resistant PC cells, (ii) defines the role of CXCR4 and COX2 in induced metastatic potential, and (iii) recognizes the potential of HT-EA in deterring the CXCR4/COX2-dependent dissemination destiny of therapy-resistant residual PC cells.
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Affiliation(s)
- Sheeja Aravindan
- Department of Marine Sciences, Center of Advanced Study in Marine Biology, Annamalai University, Parangipettai, TN, India
- Stephenson Cancer Center, Oklahoma City, OK, USA
| | - Satishkumar Ramraj
- Department of Radiation Oncology, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA
| | - Kathiresan Kandasamy
- Department of Marine Sciences, Center of Advanced Study in Marine Biology, Annamalai University, Parangipettai, TN, India
| | | | - Dinesh Babu Somasundaram
- Department of Radiation Oncology, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA
| | - Terence S. Herman
- Stephenson Cancer Center, Oklahoma City, OK, USA
- Department of Radiation Oncology, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA
| | - Natarajan Aravindan
- Department of Radiation Oncology, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA
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19
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Elias EV, de Castro NP, Pineda PHB, Abuázar CS, de Toledo Osorio CAB, Pinilla MG, da Silva SD, Camargo AA, Silva WA, e Ferreira EN, Brentani HP, Carraro DM. Epithelial cells captured from ductal carcinoma in situ reveal a gene expression signature associated with progression to invasive breast cancer. Oncotarget 2016; 7:75672-75684. [PMID: 27708222 PMCID: PMC5342769 DOI: 10.18632/oncotarget.12352] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/21/2016] [Accepted: 09/20/2016] [Indexed: 12/21/2022] Open
Abstract
Breast cancer biomarkers that can precisely predict the risk of progression of non-invasive ductal carcinoma in situ (DCIS) lesions to invasive disease are lacking. The identification of molecular alterations that occur during the invasion process is crucial for the discovery of drivers of transition to invasive disease and, consequently, biomarkers with clinical utility. In this study, we explored differences in gene expression in mammary epithelial cells before and after the morphological manifestation of invasion, i.e., early and late stages, respectively. In the early stage, epithelial cells were captured from both pre-invasive lesions with distinct malignant potential [pure DCIS as well as the in situ component that co-exists with invasive breast carcinoma lesions (DCIS-IBC)]; in the late stage, epithelial cells were captured from the two distinct morphological components of the same sample (in situ and invasive components). Candidate genes were identified using cDNA microarray and rapid subtractive hybridization (RaSH) cDNA libraries and validated by RT-qPCR assay using new samples from each group. These analyses revealed 26 genes, including 20 from the early and 6 from the late stage. The expression profile based on the 20 genes, marked by a preferential decrease in expression level towards invasive phenotype, discriminated the majority of DCIS samples. Thus, this study revealed a gene expression signature with the potential to predict DCIS progression and, consequently, provides opportunities to tailor treatments for DCIS patients.
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Affiliation(s)
- Eliana Vanina Elias
- Laboratory of Genomics and Molecular Biology, CIPE-International Research Center, A.C. Camargo Cancer Center, São Paulo, SP, Brazil
| | - Nadia Pereira de Castro
- Laboratory of Genomics and Molecular Biology, CIPE-International Research Center, A.C. Camargo Cancer Center, São Paulo, SP, Brazil
| | - Paulo Henrique Baldan Pineda
- Laboratory of Genomics and Molecular Biology, CIPE-International Research Center, A.C. Camargo Cancer Center, São Paulo, SP, Brazil
| | - Carolina Sens Abuázar
- Laboratory of Genomics and Molecular Biology, CIPE-International Research Center, A.C. Camargo Cancer Center, São Paulo, SP, Brazil
| | | | - Mabel Gigliola Pinilla
- Laboratory of Genomics and Molecular Biology, CIPE-International Research Center, A.C. Camargo Cancer Center, São Paulo, SP, Brazil
| | - Sabrina Daniela da Silva
- Laboratory of Genomics and Molecular Biology, CIPE-International Research Center, A.C. Camargo Cancer Center, São Paulo, SP, Brazil
| | - Anamaria Aranha Camargo
- Ludwig Institute for Cancer Research, São Paulo, SP, Brazil
- Molecular Oncology Center, Sirio-Libanese Hospital, São Paulo, SP, Brazil
| | - Wilson Araujo Silva
- Department of Genetics, Ribeirão Preto Medical School, University of São Paulo, Ribeirão Preto, São Paulo, SP, Brazil
| | - Elisa Napolitano e Ferreira
- Laboratory of Genomics and Molecular Biology, CIPE-International Research Center, A.C. Camargo Cancer Center, São Paulo, SP, Brazil
| | - Helena Paula Brentani
- Institute of Psychiatry-Medical School, University of São Paulo (FMUSP), São Paulo, SP, Brazil
| | - Dirce Maria Carraro
- Laboratory of Genomics and Molecular Biology, CIPE-International Research Center, A.C. Camargo Cancer Center, São Paulo, SP, Brazil
- National Institute of Science and Technology in Oncogenomics (INCITO), São Paulo, SP, Brazil
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20
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Cieniewicz AM, Cooper PR, McGehee J, Lingham RB, Kihm AJ. Novel method demonstrates differential ligand activation and phosphatase-mediated deactivation of insulin receptor tyrosine-specific phosphorylation. Cell Signal 2016; 28:1037-47. [PMID: 27155325 DOI: 10.1016/j.cellsig.2016.05.001] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2016] [Revised: 04/14/2016] [Accepted: 05/02/2016] [Indexed: 10/21/2022]
Abstract
Insulin receptor signaling is a complex cascade leading to a multitude of intracellular functional responses. Three natural ligands, insulin, IGF1 and IGF2, are each capable of binding with different affinities to the insulin receptor, and result in variable biological responses. However, it is likely these affinity differences alone cannot completely explain the myriad of diverse cellular outcomes. Ligand binding initiates activation of a signaling cascade resulting in phosphorylation of the IR itself and other intracellular proteins. The direct catalytic activity along with the temporally coordinated assembly of signaling proteins is critical for insulin receptor signaling. We hypothesized that determining differential phosphorylation among individual tyrosine sites activated by ligand binding or dephosphorylation by phosphatases could provide valuable insight into insulin receptor signaling. Here, we present a sensitive, novel immunoassay adapted from Meso Scale Discovery technology to quantitatively measure changes in site-specific phosphorylation levels on endogenous insulin receptors from HuH7 cells. We identified insulin receptor phosphorylation patterns generated upon differential ligand activation and phosphatase-mediated deactivation. The data demonstrate that insulin, IGF1 and IGF2 elicit different insulin receptor phosphorylation kinetics and potencies that translate to downstream signaling. Furthermore, we show that insulin receptor deactivation, regulated by tyrosine phosphatases, occurs distinctively across specific tyrosine residues. In summary, we present a novel, quantitative and high-throughput assay that has uncovered differential ligand activation and site-specific deactivation of the insulin receptor. These results may help elucidate some of the insulin signaling mechanisms, discriminate ligand activity and contribute to a better understanding of insulin receptor signaling. We propose this methodology as a powerful approach to characterize agonists and antagonists of the insulin receptor and can be adapted to serve as a platform to evaluate ligands of alternate receptor systems.
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Affiliation(s)
- Anne M Cieniewicz
- Biologics Research, Janssen BioTherapeutics, Janssen R & D Spring House, PA 19477, USA.
| | - Philip R Cooper
- Biologics Research, Janssen BioTherapeutics, Janssen R & D Spring House, PA 19477, USA
| | - Jennifer McGehee
- Biologics Research, Janssen BioTherapeutics, Janssen R & D Spring House, PA 19477, USA
| | - Russell B Lingham
- Biologics Research, Janssen BioTherapeutics, Janssen R & D Spring House, PA 19477, USA
| | - Anthony J Kihm
- Biologics Research, Janssen BioTherapeutics, Janssen R & D Spring House, PA 19477, USA.
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21
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Yang S, Deng H, Zhang Q, Xie J, Zeng H, Jin X, Ling Z, Shan Q, Liu M, Ma Y, Tang J, Wei Q. Amelioration of Diabetic Mouse Nephropathy by Catalpol Correlates with Down-Regulation of Grb10 Expression and Activation of Insulin-Like Growth Factor 1 / Insulin-Like Growth Factor 1 Receptor Signaling. PLoS One 2016; 11:e0151857. [PMID: 26986757 PMCID: PMC4795681 DOI: 10.1371/journal.pone.0151857] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2015] [Accepted: 03/04/2016] [Indexed: 12/17/2022] Open
Abstract
Growth factor receptor-bound protein 10 (Grb10) is an adaptor protein that can negatively regulate the insulin-like growth factor 1 receptor (IGF-1R). The IGF1-1R pathway is critical for cell growth and apoptosis and has been implicated in kidney diseases; however, it is still unknown whether Grb10 expression is up-regulated and plays a role in diabetic nephropathy. Catalpol, a major active ingredient of a traditional Chinese medicine, Rehmannia, has been reported to possess anti-inflammatory and anti-aging activities and then used to treat diabetes. Herein, we aimed to assess the therapeutic effect of catalpol on a mouse model diabetic nephropathy and the potential role of Grb10 in the pathogenesis of this diabetes-associated complication. Our results showed that catalpol treatment improved diabetes-associated impaired renal functions and ameliorated pathological changes in kidneys of diabetic mice. We also found that Grb10 expression was significantly elevated in kidneys of diabetic mice as compared with that in non-diabetic mice, while treatment with catalpol significantly abrogated the elevated Grb10 expression in diabetic kidneys. On the contrary, IGF-1 mRNA levels and IGF-1R phosphorylation were significantly higher in kidneys of catalpol-treated diabetic mice than those in non-treated diabetic mice. Our results suggest that elevated Grb10 expression may play an important role in the pathogenesis of diabetic nephropathy through suppressing IGF-1/IGF-1R signaling pathway, which might be a potential molecular target of catalpol for the treatment of this diabetic complication.
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Affiliation(s)
- Shasha Yang
- Department of Geriatrics, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Huacong Deng
- Department of Endocrinology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Qunzhou Zhang
- Department of Oral Surgery and Pharmacology, School of Dental Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, United States of America
| | - Jing Xie
- Department of Geriatrics, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Hui Zeng
- Department of Geriatrics, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Xiaolong Jin
- Department of Geriatrics, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Zixi Ling
- Department of Geriatrics, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Qiaoyun Shan
- Department of Geriatrics, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Momo Liu
- Department of Geriatrics, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Yuefei Ma
- Department of Geriatrics, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Juan Tang
- Department of Geriatrics, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Qianping Wei
- Department of Geriatrics, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
- * E-mail:
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22
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Mukhopadhyay A, Ravikumar G, Dwarkanath P, Meraaj H, Thomas A, Crasta J, Thomas T, Kurpad A, Sridhar T. Placental expression of the insulin receptor binding protein GRB10: Relation to human fetoplacental growth and fetal gender. Placenta 2015; 36:1225-30. [DOI: 10.1016/j.placenta.2015.09.006] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/14/2015] [Revised: 08/13/2015] [Accepted: 09/08/2015] [Indexed: 11/27/2022]
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23
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Tissue-specific regulation and function of Grb10 during growth and neuronal commitment. Proc Natl Acad Sci U S A 2014; 112:6841-7. [PMID: 25368187 DOI: 10.1073/pnas.1411254111] [Citation(s) in RCA: 44] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022] Open
Abstract
Growth-factor receptor bound protein 10 (Grb10) is a signal adapter protein encoded by an imprinted gene that has roles in growth control, cellular proliferation, and insulin signaling. Additionally, Grb10 is critical for the normal behavior of the adult mouse. These functions are paralleled by Grb10's unique tissue-specific imprinted expression; the paternal copy of Grb10 is expressed in a subset of neurons whereas the maternal copy is expressed in most other adult tissues in the mouse. The mechanism that underlies this switch between maternal and paternal expression is still unclear, as is the role for paternally expressed Grb10 in neurons. Here, we review recent work and present complementary data that contribute to the understanding of Grb10 gene regulation and function, with specific emphasis on growth and neuronal development. Additionally, we show that in vitro differentiation of mouse embryonic stem cells into alpha motor neurons recapitulates the switch from maternal to paternal expression observed during neuronal development in vivo. We postulate that this switch in allele-specific expression is related to the functional role of Grb10 in motor neurons and other neuronal tissues.
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24
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Mokbel N, Hoffman NJ, Girgis CM, Small L, Turner N, Daly RJ, Cooney GJ, Holt LJ. Grb10 deletion enhances muscle cell proliferation, differentiation and GLUT4 plasma membrane translocation. J Cell Physiol 2014; 229:1753-64. [PMID: 24664951 DOI: 10.1002/jcp.24628] [Citation(s) in RCA: 18] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2013] [Accepted: 03/21/2014] [Indexed: 12/25/2022]
Abstract
Grb10 is an intracellular adaptor protein which binds directly to several growth factor receptors, including those for insulin and insulin-like growth factor receptor-1 (IGF-1), and negatively regulates their actions. Grb10-ablated (Grb10(-/-) ) mice exhibit improved whole body glucose homeostasis and an increase in muscle mass associated specifically with an increase in myofiber number. This suggests that Grb10 may act as a negative regulator of myogenesis. In this study, we investigated in vitro, the molecular mechanisms underlying the increase in muscle mass and the improved glucose metabolism. Primary muscle cells isolated from Grb10(-/-) mice exhibited increased rates of proliferation and differentiation compared to primary cells isolated from wild-type mice. The improved proliferation capacity was associated with an enhanced phosphorylation of Akt and ERK in the basal state and changes in the expression of key cell cycle progression markers involved in regulating transition of cells from the G1 to S phase (e.g., retinoblastoma (Rb) and p21). The absence of Grb10 also promoted a faster transition to a myogenin positive, differentiated state. Glucose uptake was higher in Grb10(-/-) primary myotubes in the basal state and was associated with enhanced insulin signaling and an increase in GLUT4 translocation to the plasma membrane. These data demonstrate an important role for Grb10 as a link between muscle growth and metabolism with therapeutic implications for diseases, such as muscle wasting and type 2 diabetes.
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Affiliation(s)
- Nancy Mokbel
- Diabetes and Obesity Research Program, The Garvan Institute of Medical Research, Sydney, New South Wales, Australia
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25
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Li L, Li X, Zhu Y, Zhang M, Yin D, Lu J, Liu F, Wang C, Jia W. Growth receptor binding protein 10 inhibits glucose-stimulated insulin release from pancreatic β-cells associated with suppression of the insulin/insulin-like growth factor-1 signalling pathway. Clin Exp Pharmacol Physiol 2014; 40:841-7. [PMID: 23937793 DOI: 10.1111/1440-1681.12160] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2013] [Revised: 07/22/2013] [Accepted: 08/08/2013] [Indexed: 01/30/2023]
Abstract
Growth receptor binding protein 10 (Grb10) is an adaptor protein that interacts with the insulin receptor and insulin-like growth factor (IGF)-1 receptor. Overexpression of Grb10 in muscle cells and adipocytes inhibits insulin signalling, and transgenic mice overexpressing Grb10 exhibit impaired glucose tolerance. However, the roles of Grb10 in β-cells remain unknown. The aim of the present study was to explore the effect of Grb10 on β-cell function. The effects of Grb10 on glucose-stimulated insulin secretion (GSIS) and the insulin/IGF-1 signalling pathway were investigated in rat islets and/or dispersed islet cells with Grb10 overexpresion by adenovirus transfection. Protein expression was detected by western blot analysis. We found that Grb10 was expressed in both human and rat pancreas. Expression of Grb10 was increased in islets isolated from rats fed a high-fat plus high-sugar diet compared with islets isolated from rats fed normal chow diet, as well as in INS 832/13 cells exposed to high levels of glucose (20 mmol/L), palmitate (1 mmol/L) and interleukin-1β (50 U/mL). Overexpression of Grb10 in INS 832/13 cells or rat islets impaired GSIS compared with the respective control (all P < 0.05). Moreover, inhibition of GSIS by Grb10 overexpression was associated with a decrease in insulin- and IGF-1-induced Akt and extracellular signal-regulated kinase 1/2 phosphorylation. The results of the present study demonstrate that Grb10 is an important negative regulator of insulin/IGF-1 signalling in pancreatic β-cells and a potential target to improve β-cell function.
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Affiliation(s)
- Ling Li
- Department of Endocrinology and Metabolism, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, China; Diabetes Institute, Shanghai Jiao Tong University, Shanghai, China; Shanghai Key Laboratory of Diabetes Mellitus, Shanghai, China
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26
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Liu M, Bai J, He S, Villarreal R, Hu D, Zhang C, Yang X, Liang H, Slaga TJ, Yu Y, Zhou Z, Blenis J, Scherer PE, Dong LQ, Liu F. Grb10 promotes lipolysis and thermogenesis by phosphorylation-dependent feedback inhibition of mTORC1. Cell Metab 2014; 19:967-80. [PMID: 24746805 PMCID: PMC4064112 DOI: 10.1016/j.cmet.2014.03.018] [Citation(s) in RCA: 93] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/25/2013] [Revised: 01/21/2014] [Accepted: 03/13/2014] [Indexed: 12/14/2022]
Abstract
Identification of key regulators of lipid metabolism and thermogenic functions has important therapeutic implications for the current obesity and diabetes epidemic. Here, we show that Grb10, a direct substrate of mechanistic/mammalian target of rapamycin (mTOR), is expressed highly in brown adipose tissue, and its expression in white adipose tissue is markedly induced by cold exposure. In adipocytes, mTOR-mediated phosphorylation at Ser501/503 switches the binding preference of Grb10 from the insulin receptor to raptor, leading to the dissociation of raptor from mTOR and downregulation of mTOR complex 1 (mTORC1) signaling. Fat-specific disruption of Grb10 increased mTORC1 signaling in adipose tissues, suppressed lipolysis, and reduced thermogenic function. The effects of Grb10 deficiency on lipolysis and thermogenesis were diminished by rapamycin administration in vivo. Our study has uncovered a unique feedback mechanism regulating mTORC1 signaling in adipose tissues and identified Grb10 as a key regulator of adiposity, thermogenesis, and energy expenditure.
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Affiliation(s)
- Meilian Liu
- Department of Pharmacology, University of Texas Health Science Center at San Antonio, 7703 Floyd Curl Drive, San Antonio, TX 78229, USA; Metabolic Syndrome Research Center and Diabetes Center, Key Laboratory of Diabetes Immunology, Ministry of Education, Second Xiangya Hospital, Central South University, 139 Middle Renmin Road, Changsha, Hunan 410011, China
| | - Juli Bai
- Department of Pharmacology, University of Texas Health Science Center at San Antonio, 7703 Floyd Curl Drive, San Antonio, TX 78229, USA; Metabolic Syndrome Research Center and Diabetes Center, Key Laboratory of Diabetes Immunology, Ministry of Education, Second Xiangya Hospital, Central South University, 139 Middle Renmin Road, Changsha, Hunan 410011, China
| | - Sijia He
- Department of Pharmacology, University of Texas Health Science Center at San Antonio, 7703 Floyd Curl Drive, San Antonio, TX 78229, USA; Metabolic Syndrome Research Center and Diabetes Center, Key Laboratory of Diabetes Immunology, Ministry of Education, Second Xiangya Hospital, Central South University, 139 Middle Renmin Road, Changsha, Hunan 410011, China
| | - Ricardo Villarreal
- Department of Cellular and Structural Biology, University of Texas Health Science Center at San Antonio, 7703 Floyd Curl Drive, San Antonio, TX 78229, USA
| | - Derong Hu
- Department of Pharmacology, University of Texas Health Science Center at San Antonio, 7703 Floyd Curl Drive, San Antonio, TX 78229, USA
| | - Chuntao Zhang
- Department of Pharmacology, University of Texas Health Science Center at San Antonio, 7703 Floyd Curl Drive, San Antonio, TX 78229, USA; The Department of Microbiology, School of Basic Medicine, Xinjiang Medical University, 393 Xinyi Road, Urumqi, Xinjiang 830011, China
| | - Xin Yang
- Department of Cellular and Structural Biology, University of Texas Health Science Center at San Antonio, 7703 Floyd Curl Drive, San Antonio, TX 78229, USA
| | - Huiyun Liang
- Department of Cellular and Structural Biology, University of Texas Health Science Center at San Antonio, 7703 Floyd Curl Drive, San Antonio, TX 78229, USA
| | - Thomas J Slaga
- Department of Pharmacology, University of Texas Health Science Center at San Antonio, 7703 Floyd Curl Drive, San Antonio, TX 78229, USA
| | - Yonghao Yu
- Department of Cell Biology, Harvard Medical School, 240 Longwood Avenue, Boston, MA 02115, USA
| | - Zhiguang Zhou
- Metabolic Syndrome Research Center and Diabetes Center, Key Laboratory of Diabetes Immunology, Ministry of Education, Second Xiangya Hospital, Central South University, 139 Middle Renmin Road, Changsha, Hunan 410011, China
| | - John Blenis
- Department of Cell Biology, Harvard Medical School, 240 Longwood Avenue, Boston, MA 02115, USA
| | - Philipp E Scherer
- Touchstone Diabetes Center, Department of Internal Medicine, and Department of Cell Biology, UT Southwestern Medical Center, 5323 Harry Hines Boulevard, Dallas, TX 75390-8549, USA
| | - Lily Q Dong
- Department of Cellular and Structural Biology, University of Texas Health Science Center at San Antonio, 7703 Floyd Curl Drive, San Antonio, TX 78229, USA
| | - Feng Liu
- Department of Pharmacology, University of Texas Health Science Center at San Antonio, 7703 Floyd Curl Drive, San Antonio, TX 78229, USA; Metabolic Syndrome Research Center and Diabetes Center, Key Laboratory of Diabetes Immunology, Ministry of Education, Second Xiangya Hospital, Central South University, 139 Middle Renmin Road, Changsha, Hunan 410011, China.
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27
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Mazurais D, Ferraresso S, Gatta PP, Desbruyères E, Severe A, Corporeau C, Claireaux G, Bargelloni L, Zambonino-Infante JL. Identification of hypoxia-regulated genes in the liver of common sole (Solea solea) fed different dietary lipid contents. MARINE BIOTECHNOLOGY (NEW YORK, N.Y.) 2014; 16:277-288. [PMID: 24091821 DOI: 10.1007/s10126-013-9545-9] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/20/2013] [Accepted: 09/15/2013] [Indexed: 06/02/2023]
Abstract
Coastal systems could be affected by hypoxic events brought about by global change. These areas are essential nursery habitats for several fish species including the common sole (Solea solea L.). Tolerance of fish to hypoxia depends on species and also on their physiological condition and nutritional status. Indeed, high dietary lipid content has been recently shown to negatively impact the resistance of sole to a severe hypoxic challenge. In order to study the molecular mechanisms involved in the early response to hypoxic stress, the present work examined the hepatic transcriptome in common sole fed diets with low and high lipid content, exposed to severe hypoxia. The activity of AMP-activated protein kinase (AMPK) was also investigated through the quantification of threonine-172 phosphorylation in the alpha subunit. The results show that hypoxia consistently regulates several actors involved in energy metabolism pathways and particularly AMPKα, as well as some involved in cell growth and maintenance or unfolded protein response. Our findings reveal that (1) the expression of genes involved in biological processes with high energy cost or implicated in aerobic ATP synthesis was down-regulated by hypoxia, contrary to genes involved in neoglucogenesis or in angiogenesis, (2) the consumption of high lipid induced regulation of metabolic pathways going against this energy saving, and (3) this control was fine-tuned by the regulation of several transcriptomic factors. These results provide insight into the biological processes involved in the hepatic response to hypoxic stress and underline the negative impact of high lipid consumption on the tolerance of common sole to hypoxia.
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Affiliation(s)
- David Mazurais
- Ifremer, UMR 6539 LEMAR, Unité de Physiologie Fonctionnelle des Organismes Marins, Ifremer, CS 10070, 29280, Plouzané, France,
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28
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Abstract
The insulin receptor (IR) is an important hub in insulin signaling and its activation is tightly regulated. Upon insulin stimulation, IR is activated through autophosphorylation, and consequently phosphorylates several insulin receptor substrate (IRS) proteins, including IRS1-6, Shc and Gab1. Certain adipokines have also been found to activate IR. On the contrary, PTP, Grb and SOCS proteins, which are responsible for the negative regulation of IR, are characterized as IR inhibitors. Additionally, many other proteins have been identified as IR substrates and participate in the insulin signaling pathway. To provide a more comprehensive understanding of the signals mediated through IR, we reviewed the upstream and downstream signal molecules of IR, summarized the positive and negative modulators of IR, and discussed the IR substrates and interacting adaptor proteins. We propose that the molecular events associated with IR should be integrated to obtain a better understanding of the insulin signaling pathway and diabetes.
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Affiliation(s)
- Yipeng Du
- National Laboratory of Biomacromolecules, Institute of Biophysics, Chinese Academy of Sciences, Beijing, 100101, China
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Kabir NN, Kazi JU. Grb10 is a dual regulator of receptor tyrosine kinase signaling. Mol Biol Rep 2014; 41:1985-92. [PMID: 24420853 DOI: 10.1007/s11033-014-3046-4] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2013] [Accepted: 01/04/2014] [Indexed: 10/25/2022]
Abstract
The adaptor protein Grb10 is a close homolog of Grb7 and Grb14. These proteins are characterized by an N-terminal proline-rich region, a Ras-GTPase binding domain, a PH domain, an SH2 domain and a BPS domain in between the PH and SH2 domains. Human Grb10 gene encodes three splice variants. These variants show differences in functionality. Grb10 associates with multiple proteins including tyrosine kinases in a tyrosine phosphorylation dependent or independent manner. Association with multiple proteins allows Grb10 to regulate different signaling pathways resulting in different biological consequences.
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Affiliation(s)
- Nuzhat N Kabir
- Laboratory of Computational Biochemistry, KN Biomedical Research Institute, Bagura Road, Barisal, Bangladesh
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Morcavallo A, Stefanello M, Iozzo RV, Belfiore A, Morrione A. Ligand-mediated endocytosis and trafficking of the insulin-like growth factor receptor I and insulin receptor modulate receptor function. Front Endocrinol (Lausanne) 2014; 5:220. [PMID: 25566192 PMCID: PMC4269189 DOI: 10.3389/fendo.2014.00220] [Citation(s) in RCA: 31] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/19/2014] [Accepted: 12/02/2014] [Indexed: 12/20/2022] Open
Abstract
The insulin-like growth factor system and its two major receptors, the IGF receptor I (IGF-IR) and IR, plays a central role in a variety of physiological cellular processes including growth, differentiation, motility, and glucose homeostasis. The IGF-IR is also essential for tumorigenesis through its capacity to protect cancer cells from apoptosis. The IR is expressed in two isoforms: the IR isoform A (IR-A) and isoform B (IR-B). While the role of the IR-B in the regulation of metabolic effects has been known for several years, more recent evidence suggests that the IR, and in particular the IR-A, may be involved in the pathogenesis of cancer. Ligand-mediated endocytosis of tyrosine-kinases receptors plays a critical role in modulating the duration and intensity of receptors action but while the signaling pathways induced by the IGF-IR and IR are quite characterized, very little is still known about the mechanisms and proteins that regulate ligand-induced IGF-IR and IR endocytosis and trafficking. In addition, how these processes affect receptor downstream signaling has not been fully characterized. Here, we discuss the current understanding of the mechanisms and proteins regulating IGF-IR and IR endocytosis and sorting and their implications in modulating ligand-induced biological responses.
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Affiliation(s)
- Alaide Morcavallo
- Departments of Urology, Sydney Kimmel Cancer Center, Thomas Jefferson University, Philadelphia, PA, USA
- Department of Health Sciences and Endocrinology, University Magna Graecia of Catanzaro, Catanzaro, Italy
| | - Manuela Stefanello
- Departments of Urology, Sydney Kimmel Cancer Center, Thomas Jefferson University, Philadelphia, PA, USA
- Department of Health Sciences and Endocrinology, University Magna Graecia of Catanzaro, Catanzaro, Italy
| | - Renato V. Iozzo
- Department of Pathology, Anatomy and Cell Biology, Sydney Kimmel Cancer Center, Thomas Jefferson University, Philadelphia, PA, USA
- Cancer Cell Biology and Signaling Program, Sydney Kimmel Cancer Center, Thomas Jefferson University, Philadelphia, PA, USA
| | - Antonino Belfiore
- Department of Health Sciences and Endocrinology, University Magna Graecia of Catanzaro, Catanzaro, Italy
| | - Andrea Morrione
- Departments of Urology, Sydney Kimmel Cancer Center, Thomas Jefferson University, Philadelphia, PA, USA
- Biology of Prostate Cancer Program, Sydney Kimmel Cancer Center, Thomas Jefferson University, Philadelphia, PA, USA
- *Correspondence: Andrea Morrione, Biology of Prostate Cancer Program, Department of Urology, Kimmel Cancer Center, Thomas Jefferson University, 233 South 10th Street, BLSB Room 620, Philadelphia, PA 19107, USA e-mail:
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31
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Altmann S, Murani E, Schwerin M, Metges CC, Wimmers K, Ponsuksili S. Dietary protein restriction and excess of pregnant German Landrace sows induce changes in hepatic gene expression and promoter methylation of key metabolic genes in the offspring. J Nutr Biochem 2013; 24:484-95. [DOI: 10.1016/j.jnutbio.2012.01.011] [Citation(s) in RCA: 33] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2011] [Accepted: 01/26/2012] [Indexed: 02/01/2023]
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Wei J, Ramanathan P, Martin IC, Moran C, Taylor RM, Williamson P. Identification of gene sets and pathways associated with lactation performance in mice. Physiol Genomics 2013; 45:171-81. [PMID: 23284081 DOI: 10.1152/physiolgenomics.00139.2011] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022] Open
Abstract
Mammary transcriptome analyses across the lactation cycle and transgenic animal studies have identified candidate genes for mammogenesis, lactogenesis and involution; however, there is a lack of information on pathways that contribute to lactation performance. Previously we have shown significant differences in lactation performance, mammary gland histology, and gene expression profiles during lactation [lactation day 9 (L9)] between CBA/CaH (CBA) and the superior performing QSi5 strains of mice. In the present study, we compared these strains at midpregnancy [pregnancy day 12 (P12)] and utilized these data along with data from a 14th generation of intercross (AIL) to develop an integrative analysis of lactation performance. Additional analysis by quantitative reverse transcription PCR examined the correlation between expression profiles of lactation candidate genes and lactation performance across six inbred strains of mice. The analysis demonstrated that the mammary epithelial content per unit area was similar between CBA and QSi5 mice at P12, while differential expression was detected in 354 mammary genes (false discovery rate < 0.1). Gene ontology and functional annotation analyses showed that functional annotation terms associated with cell division and proliferation were the most enriched in the differentially expressed genes between these two strains at P12. Further analysis revealed that genes associated with neuroactive ligand-receptor interaction and calcium signaling pathways were significantly upregulated and positively correlated with lactation performance, while genes associated with cell cycle and DNA replication pathways were downregulated and positively correlated with lactation performance. There was also a significant negative correlation between Grb10 expression and lactation performance. In summary, using an integrative genomic approach we have identified key genes and pathways associated with lactation performance.
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Affiliation(s)
- Jerry Wei
- Faculty of Veterinary Science, The University of Sydney, New South Wales, Australia
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33
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Desbuquois B, Carré N, Burnol AF. Regulation of insulin and type 1 insulin-like growth factor signaling and action by the Grb10/14 and SH2B1/B2 adaptor proteins. FEBS J 2013. [PMID: 23190452 DOI: 10.1111/febs.12080] [Citation(s) in RCA: 42] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
The effects of insulin and type 1 insulin-like growth factor (IGF-1) on metabolism, growth and survival are mediated by their association with specific receptor tyrosine kinases, which results in both receptor and substrate phosphorylation. Phosphotyrosine residues on receptors and substrates provide docking sites for signaling proteins containing SH2 (Src homology 2) domains, including molecular adaptors. This review focuses on the regulation of insulin/IGF-1 signaling and action by two adaptor families with a similar domain organization: the growth factor receptor-bound proteins Grb7/10/14 and the SH2B proteins. Both Grb10/14 and SH2B1/B2 associate with the activation loop of insulin/IGF-1 receptors through their SH2 domains, but association of Grb10/14 also involves their unique BPS domain. Consistent with Grb14 binding as a pseudosubstrate to the kinase active site, insulin/IGF-induced activation of receptors and downstream signaling pathways in cultured cells is inhibited by Grb10/14 adaptors, but is potentiated by SH2B1/B2 adaptors. Accordingly, Grb10 and Grb14 knockout mice show improved insulin/IGF sensitivity in vivo, and, for Grb10, overgrowth and increased skeketal muscle and pancreatic β-cell mass. Conversely, SH2B1-depleted mice display insulin and IGF-1 resistance, with peripheral depletion leading to reduced adiposity and neuronal depletion leading to obesity through associated leptin resistance. Grb10/14 and SH2B1 adaptors also modulate insulin/IGF-1 action by interacting with signaling components downstream of receptors and exert several tissue-specific effects. The identification of Grb10/14 and SH2B1 as physiological regulators of insulin signaling and action, together with observations that variants at their gene loci are associated with obesity and/or insulin resistance, highlight them as potential therapeutic targets for these conditions.
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Affiliation(s)
- Bernard Desbuquois
- Institut Cochin, Départment d'Endocrinologie, Métabolisme et Cancer, Université Paris-Descartes, Institut National de la Santé et de la Recherche Médicale, Unité 1016, et Centre National de la Recherche Scientifique, Unité Mixte de Recherche, Paris, France
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Singh M, Martinez AR, Govindaraju S, Lee BS. HuR inhibits apoptosis by amplifying Akt signaling through a positive feedback loop. J Cell Physiol 2012; 228:182-9. [PMID: 22674407 DOI: 10.1002/jcp.24120] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/02/2023]
Abstract
Human antigen R (HuR) is a post-transcriptional regulator of gene expression that plays a key role in stabilizing mRNAs during cellular stress, leading to enhanced survival. HuR expression is tightly regulated through multiple transcription and post-transcriptional controls. Although HuR is known to stabilize a subset of mRNAs involved in cell survival, its role in the survival pathway of PI3-kinase/Akt signaling is unclear. Here, we show that in renal proximal tubule cells, HuR performs a central role in cell survival by amplifying Akt signaling in a positive feedback loop. Key to this feedback loop is HuR-mediated stabilization of mRNA encoding Grb10, an adaptor protein whose expression is critical for Akt activation. Stimulation of Akt by interaction with Grb10 then activates NF-κB, which further enhances HuR mRNA and protein expression. This feedback loop is active in unstressed cells, but its effects are increased during stress. Therefore, this study demonstrates a central role for HuR in Akt signaling and reveals a mechanism by which modest changes in HuR levels below or above normal may be amplified, potentially resulting in cell death or cellular transformation.
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Affiliation(s)
- Mamata Singh
- Department of Physiology and Cell Biology, The Ohio State University College of Medicine, Columbus, Ohio, USA
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Zhang J, Zhang N, Liu M, Li X, Zhou L, Huang W, Xu Z, Liu J, Musi N, DeFronzo RA, Cunningham JM, Zhou Z, Lu XY, Liu F. Disruption of growth factor receptor-binding protein 10 in the pancreas enhances β-cell proliferation and protects mice from streptozotocin-induced β-cell apoptosis. Diabetes 2012; 61:3189-98. [PMID: 22923474 PMCID: PMC3501856 DOI: 10.2337/db12-0249] [Citation(s) in RCA: 34] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/09/2023]
Abstract
Defects in insulin secretion and reduction in β-cell mass are associated with type 2 diabetes in humans, and understanding the basis for these dysfunctions may reveal strategies for diabetes therapy. In this study, we show that pancreas-specific knockout of growth factor receptor-binding protein 10 (Grb10), which is highly expressed in pancreas and islets, leads to elevated insulin/IGF-1 signaling in islets, enhanced β-cell mass and insulin content, and increased insulin secretion in mice. Pancreas-specific disruption of Grb10 expression also improved glucose tolerance in mice fed with a high-fat diet and protected mice from streptozotocin-induced β-cell apoptosis and body weight loss. Our study has identified Grb10 as an important regulator of β-cell proliferation and demonstrated that reducing the expression level of Grb10 could provide a novel means to increase β-cell mass and reduce β-cell apoptosis. This is critical for effective therapeutic treatment of both type 1 and 2 diabetes.
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Affiliation(s)
- Jingjing Zhang
- From the Metabolic Syndrome Research Center, Diabetes Center, Institute of Metabolism and Endocrinology, the Second Xiangya Hospital, Central South University, Changsha, Hunan, China; the
- Department of Pharmacology, University of Texas Health Science Center at San Antonio, San Antonio, Texas; the
| | - Ning Zhang
- Department of Medicine, University of Texas Health Science Center at San Antonio, San Antonio, Texas; the
| | - Meilian Liu
- Department of Pharmacology, University of Texas Health Science Center at San Antonio, San Antonio, Texas; the
| | - Xiuling Li
- Department of Hematology/Oncology, St. Jude Children’s Research Hospital, Memphis, Tennessee; and the
| | - Lijun Zhou
- Department of Pharmacology, University of Texas Health Science Center at San Antonio, San Antonio, Texas; the
| | - Wei Huang
- From the Metabolic Syndrome Research Center, Diabetes Center, Institute of Metabolism and Endocrinology, the Second Xiangya Hospital, Central South University, Changsha, Hunan, China; the
| | - Zhipeng Xu
- From the Metabolic Syndrome Research Center, Diabetes Center, Institute of Metabolism and Endocrinology, the Second Xiangya Hospital, Central South University, Changsha, Hunan, China; the
| | - Jing Liu
- Department of Pharmacology, University of Texas Health Science Center at San Antonio, San Antonio, Texas; the
| | - Nicolas Musi
- Department of Medicine, University of Texas Health Science Center at San Antonio, San Antonio, Texas; the
| | - Ralph A. DeFronzo
- Department of Medicine, University of Texas Health Science Center at San Antonio, San Antonio, Texas; the
| | - John M. Cunningham
- Department of Hematology/Oncology, St. Jude Children’s Research Hospital, Memphis, Tennessee; and the
| | - Zhiguang Zhou
- From the Metabolic Syndrome Research Center, Diabetes Center, Institute of Metabolism and Endocrinology, the Second Xiangya Hospital, Central South University, Changsha, Hunan, China; the
- Key Laboratory of Diabetes Immunology, Ministry of Education, Diabetes Center, Institute of Metabolism and Endocrinology, the Second Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Xin-Yun Lu
- Department of Pharmacology, University of Texas Health Science Center at San Antonio, San Antonio, Texas; the
| | - Feng Liu
- From the Metabolic Syndrome Research Center, Diabetes Center, Institute of Metabolism and Endocrinology, the Second Xiangya Hospital, Central South University, Changsha, Hunan, China; the
- Department of Pharmacology, University of Texas Health Science Center at San Antonio, San Antonio, Texas; the
- Corresponding author: Feng Liu,
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FLT3 signals via the adapter protein Grb10 and overexpression of Grb10 leads to aberrant cell proliferation in acute myeloid leukemia. Mol Oncol 2012; 7:402-18. [PMID: 23246379 DOI: 10.1016/j.molonc.2012.11.003] [Citation(s) in RCA: 40] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2012] [Accepted: 11/22/2012] [Indexed: 01/17/2023] Open
Abstract
The adaptor protein Grb10 plays important roles in mitogenic signaling. However, its roles in acute myeloid leukemia (AML) are predominantly unknown. Here we describe the role of Grb10 in FLT3-ITD-mediated AML. We observed that Grb10 physically associates with FLT3 in response to FLT3-ligand (FL) stimulation through FLT3 phospho-tyrosine 572 and 793 residues and constitutively associates with oncogenic FLT3-ITD. Furthermore endogenous Grb10-FLT3 association was observed in OCI-AML-5 cells. Grb10 expression did not alter FLT3 receptor activation or stability in Ba/F3-FLT3 cells. However, expression of Grb10 enhanced FL-induced Akt phosphorylation without affecting Erk or p38 phosphorylation in Ba/F3-FLT3-WT and Ba/F3-FLT3-ITD. Selective Grb10 depletion reduced Akt phosphorylation in Ba/F3-FLT3-WT and OCI-AML-5 cells. Grb10 transduces signal from FLT3 by direct interaction with p85 and Ba/F3-FLT3-ITD cells expressing Grb10 exhibits higher STAT5 activation. Grb10 regulates the cell cycle by increasing cell population in S-phase. Expression of Grb10 furthermore resulted in an increased proliferation and survival of Ba/F3-FLT3-ITD cells as well as increased colony formation in semisolid culture. Grb10 expression was significantly increased in AML patients compared to healthy controls and was also elevated in patients carrying FLT3-ITD mutants. The elevated Grb10 expression partially correlated to relapse as well as to poor prognosis. These results suggest that Grb10 binds to both normal and oncogenic FLT3 and induces PI3K-Akt and STAT5 signaling pathways resulting in an enhanced proliferation, survival and colony formation of hematopoietic cells.
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Stringer JM, Suzuki S, Pask AJ, Shaw G, Renfree MB. GRB10 imprinting is eutherian mammal specific. Mol Biol Evol 2012; 29:3711-9. [PMID: 22787282 DOI: 10.1093/molbev/mss173] [Citation(s) in RCA: 11] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022] Open
Abstract
GRB10 is an imprinted gene differently expressed from two promoters in mouse and human. Mouse Grb10 is maternally expressed from the major promoter in most tissues and paternally expressed from the brain-specific promoter within specific regions of the fetal and adult central nervous system. Human GRB10 is biallelically expressed from the major promoter in most tissues except in the placental villus trophoblast where it is maternally expressed, whereas the brain-specific promoter is paternally expressed in the fetal brain. This study characterized the ortholog of GRB10 in a marsupial, the tammar wallaby (Macropus eugenii) to investigate the origin and evolution of imprinting at this locus. The protein coding exons and predicted amino acid sequence of tammar GRB10 were highly conserved with eutherian GRB10. The putative first exon, which is located in the orthologous region to the eutherian major promoter, was found in the tammar, but no exon was found in the downstream region corresponding to the eutherian brain-specific promoter, suggesting that marsupials only have a single promoter. Tammar GRB10 was widely expressed in various tissues including the brain but was not imprinted in any of the tissues examined. Thus, it is likely that GRB10 imprinting evolved in eutherians after the eutherian-marsupial divergence approximately 160 million years ago, subsequent to the acquisition of a brain-specific promoter, which resides within the imprinting control region in eutherians.
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Affiliation(s)
- Jessica M Stringer
- ARC Centre of Excellence in Kangaroo Genomics, University of Melbourne, Melbourne, Victoria, Australia
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Holt LJ, Turner N, Mokbel N, Trefely S, Kanzleiter T, Kaplan W, Ormandy CJ, Daly RJ, Cooney GJ. Grb10 regulates the development of fiber number in skeletal muscle. FASEB J 2012; 26:3658-69. [DOI: 10.1096/fj.11-199349] [Citation(s) in RCA: 28] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2022]
Affiliation(s)
- Lowenna J. Holt
- Diabetes and Obesity Research ProgramGarvan Institute of Medical ResearchSydneyNew South WalesAustralia
| | - Nigel Turner
- Diabetes and Obesity Research ProgramGarvan Institute of Medical ResearchSydneyNew South WalesAustralia
- St. Vincent's Hospital Clinical SchoolUniversity of New South WalesSydneyNew South WalesAustralia
| | - Nancy Mokbel
- Diabetes and Obesity Research ProgramGarvan Institute of Medical ResearchSydneyNew South WalesAustralia
| | - Sophie Trefely
- Diabetes and Obesity Research ProgramGarvan Institute of Medical ResearchSydneyNew South WalesAustralia
| | - Timo Kanzleiter
- Diabetes and Obesity Research ProgramGarvan Institute of Medical ResearchSydneyNew South WalesAustralia
| | - Warren Kaplan
- Peter Wills Bioinformatics CentreGarvan Institute of Medical ResearchSydneyNew South WalesAustralia
| | - Christopher J. Ormandy
- Cancer Research ProgramGarvan Institute of Medical ResearchSydneyNew South WalesAustralia
- St. Vincent's Hospital Clinical SchoolUniversity of New South WalesSydneyNew South WalesAustralia
| | - Roger J. Daly
- Cancer Research ProgramGarvan Institute of Medical ResearchSydneyNew South WalesAustralia
- St. Vincent's Hospital Clinical SchoolUniversity of New South WalesSydneyNew South WalesAustralia
| | - Gregory J. Cooney
- Diabetes and Obesity Research ProgramGarvan Institute of Medical ResearchSydneyNew South WalesAustralia
- St. Vincent's Hospital Clinical SchoolUniversity of New South WalesSydneyNew South WalesAustralia
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Manning AK, Hivert MF, Scott RA, Grimsby JL, Bouatia-Naji N, Chen H, Rybin D, Liu CT, Bielak LF, Prokopenko I, Amin N, Barnes D, Cadby G, Hottenga JJ, Ingelsson E, Jackson AU, Johnson T, Kanoni S, Ladenvall C, Lagou V, Lahti J, Lecoeur C, Liu Y, Martinez-Larrad MT, Montasser ME, Navarro P, Perry JRB, Rasmussen-Torvik LJ, Salo P, Sattar N, Shungin D, Strawbridge RJ, Tanaka T, van Duijn CM, An P, de Andrade M, Andrews JS, Aspelund T, Atalay M, Aulchenko Y, Balkau B, Bandinelli S, Beckmann JS, Beilby JP, Bellis C, Bergman RN, Blangero J, Boban M, Boehnke M, Boerwinkle E, Bonnycastle LL, Boomsma DI, Borecki IB, Böttcher Y, Bouchard C, Brunner E, Budimir D, Campbell H, Carlson O, Chines PS, Clarke R, Collins FS, Corbatón-Anchuelo A, Couper D, de Faire U, Dedoussis GV, Deloukas P, Dimitriou M, Egan JM, Eiriksdottir G, Erdos MR, Eriksson JG, Eury E, Ferrucci L, Ford I, Forouhi NG, Fox CS, Franzosi MG, Franks PW, Frayling TM, Froguel P, Galan P, de Geus E, Gigante B, Glazer NL, Goel A, Groop L, Gudnason V, Hallmans G, Hamsten A, Hansson O, Harris TB, Hayward C, Heath S, Hercberg S, Hicks AA, Hingorani A, Hofman A, Hui J, Hung J, Jarvelin MR, Jhun MA, Johnson PC, Jukema JW, Jula A, Kao W, Kaprio J, Kardia SLR, Keinanen-Kiukaanniemi S, Kivimaki M, Kolcic I, Kovacs P, Kumari M, Kuusisto J, Kyvik KO, Laakso M, Lakka T, Lannfelt L, Lathrop GM, Launer LJ, Leander K, Li G, Lind L, Lindstrom J, Lobbens S, Loos RJF, Luan J, Lyssenko V, Mägi R, Magnusson PKE, Marmot M, Meneton P, Mohlke KL, Mooser V, Morken MA, Miljkovic I, Narisu N, O’Connell J, Ong KK, Oostra BA, Palmer LJ, Palotie A, Pankow JS, Peden JF, Pedersen NL, Pehlic M, Peltonen L, Penninx B, Pericic M, Perola M, Perusse L, Peyser PA, Polasek O, Pramstaller PP, Province MA, Räikkönen K, Rauramaa R, Rehnberg E, Rice K, Rotter JI, Rudan I, Ruokonen A, Saaristo T, Sabater-Lleal M, Salomaa V, Savage DB, Saxena R, Schwarz P, Seedorf U, Sennblad B, Serrano-Rios M, Shuldiner AR, Sijbrands EJ, Siscovick DS, Smit JH, Small KS, Smith NL, Smith AV, Stančáková A, Stirrups K, Stumvoll M, Sun YV, Swift AJ, Tönjes A, Tuomilehto J, Trompet S, Uitterlinden AG, Uusitupa M, Vikström M, Vitart V, Vohl MC, Voight BF, Vollenweider P, Waeber G, Waterworth DM, Watkins H, Wheeler E, Widen E, Wild SH, Willems SM, Willemsen G, Wilson JF, Witteman JC, Wright AF, Yaghootkar H, Zelenika D, Zemunik T, Zgaga L, Wareham NJ, McCarthy MI, Barroso I, Watanabe RM, Florez JC, Dupuis J, Meigs JB, Langenberg C. A genome-wide approach accounting for body mass index identifies genetic variants influencing fasting glycemic traits and insulin resistance. Nat Genet 2012; 44:659-69. [PMID: 22581228 PMCID: PMC3613127 DOI: 10.1038/ng.2274] [Citation(s) in RCA: 606] [Impact Index Per Article: 50.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2011] [Accepted: 04/13/2012] [Indexed: 12/15/2022]
Abstract
Recent genome-wide association studies have described many loci implicated in type 2 diabetes (T2D) pathophysiology and β-cell dysfunction but have contributed little to the understanding of the genetic basis of insulin resistance. We hypothesized that genes implicated in insulin resistance pathways might be uncovered by accounting for differences in body mass index (BMI) and potential interactions between BMI and genetic variants. We applied a joint meta-analysis approach to test associations with fasting insulin and glucose on a genome-wide scale. We present six previously unknown loci associated with fasting insulin at P < 5 × 10(-8) in combined discovery and follow-up analyses of 52 studies comprising up to 96,496 non-diabetic individuals. Risk variants were associated with higher triglyceride and lower high-density lipoprotein (HDL) cholesterol levels, suggesting a role for these loci in insulin resistance pathways. The discovery of these loci will aid further characterization of the role of insulin resistance in T2D pathophysiology.
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Affiliation(s)
- Alisa K. Manning
- Department of Biostatistics, Boston University School of Public Health, Boston, Massachusetts, USA
- Program in Medical and Population Genetics, Broad Institute, Cambridge, Massachusetts, USA
- Department of Molecular Biology, Massachusetts General Hospital, Boston, Massachusetts, USA
- Harvard Medical School, Boston, Massachusetts
| | - Marie-France Hivert
- General Medicine Division, Massachusetts General Hospital, Boston, Massachusetts, USA
- Department of Medicine, Universite de Sherbrooke, Sherbrooke, Québec, Canada
| | - Robert A. Scott
- MRC Epidemiology Unit, Institute of Metabolic Science, Addenbrooke’s Hospital, Cambridge, UK
| | - Jonna L. Grimsby
- General Medicine Division, Massachusetts General Hospital, Boston, Massachusetts, USA
- Department of Medicine, Harvard Medical School, Boston, Massachusetts, USA
| | - Nabila Bouatia-Naji
- Institut Pasteur de Lille, Lille, France
- Lille Nord de France University, Lille, France
| | - Han Chen
- Department of Biostatistics, Boston University School of Public Health, Boston, Massachusetts, USA
| | - Denis Rybin
- Boston University Data Coordinating Center, Boston, Massachusetts, USA
| | - Ching-Ti Liu
- Department of Biostatistics, Boston University School of Public Health, Boston, Massachusetts, USA
| | - Lawrence F. Bielak
- Department of Epidemiology, University of Michigan, Ann Arbor, Michigan, USA
| | - Inga Prokopenko
- Oxford Centre for Diabetes, Endocrinology and Metabolism, University of Oxford, Oxford, UK
- Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, UK
| | - Najaf Amin
- Department of Epidemiology, Erasmus MC, Rotterdam, The Netherlands
| | - Daniel Barnes
- MRC Epidemiology Unit, Institute of Metabolic Science, Addenbrooke’s Hospital, Cambridge, UK
| | - Gemma Cadby
- Genetic Epidemiology and Biostatistics Platform, Ontario Institute for Cancer Research. Toronto, Canada
- Prosserman Centre for Health Research, Samuel Lunenfeld Research Institute, Toronto, Canada
| | - Jouke-Jan Hottenga
- Netherlands Twin Register, Department of Biological Psychology, VU University, Amsterdam, The Netherlands
| | - Erik Ingelsson
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Anne U. Jackson
- Department of Biostatistics and Center for Statistical Genetics, University of Michigan School of Public Health, Ann Arbor, Michigan, USA
| | - Toby Johnson
- Clinical Pharmacology and The Genome Centre, William Harvey Research Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London, UK
| | - Stavroula Kanoni
- Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hixton, Cambridge, UK
| | - Claes Ladenvall
- Department of Clinical Sciences, Diabetes and Endocrinology, Lund University, Malmö, Sweden
- Lund University Diabetes Centre, Malmö, Sweden
| | - Vasiliki Lagou
- Oxford Centre for Diabetes, Endocrinology and Metabolism, University of Oxford, Oxford, UK
- Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, UK
| | - Jari Lahti
- Institute of Behavioural Sciences, University of Helsinki, Helsinki, Finland
| | - Cecile Lecoeur
- Institut Pasteur de Lille, Lille, France
- Lille Nord de France University, Lille, France
| | - Yongmei Liu
- Department of Epidemiology and Prevention, Division of Public Health Sciences, Wake Forest School of Medicine, Winston-Salem, North Carolina, USA
| | - Maria Teresa Martinez-Larrad
- Spanish Biomedical Research Centre in Diabetes and Associated Metabolic Disorders, Instituto de Investigación Sanitaria del Hospital Clínico San Carlos, Madrid, Spain
| | - May E. Montasser
- Division of Endocrinology, Diabetes, and Nutrition, Department of Medicine, University of Maryland, School of Medicine, Baltimore, Maryland, USA
| | - Pau Navarro
- MRC Human Genetics Unit, MRC IGMM, University of Edinburgh, Edinburgh, UK
| | - John R. B. Perry
- Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, UK
- Genetics of Complex Traits, Peninsula College of Medicine and Dentistry, University of Exeter, Exeter, UK
- Department of Twin Research and Genetic Epidemiology, King’s College London, London, UK
| | - Laura J. Rasmussen-Torvik
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
| | - Perttu Salo
- Department of Chronic Disease Prevention, National Institute for Health and Welfare, Helsinki, Finland
| | - Naveed Sattar
- Institute of Cardiovascular and Medical Sciences, University of Glasgow, UK
| | - Dmitry Shungin
- Department of Clinical Sciences, Diabetes and Endocrinology, Lund University, Malmö, Sweden
- Lund University Diabetes Centre, Malmö, Sweden
- Department of Public Health & Clinical Medicine, Genetic Epidemiology & Clinical Research Group, Umeå University Hospital, Umeå, Sweden
- Department of Odontology, Umeå University, Sweden
| | - Rona J. Strawbridge
- Atherosclerosis Research Unit, Department of Medicine Solna, Karolinska Institutet, Stockholm, Sweden
| | - Toshiko Tanaka
- Clinical Research Branch, National Institute on Aging, Baltimore, Maryland, USA
| | - Cornelia M. van Duijn
- Department of Epidemiology, Erasmus MC, Rotterdam, The Netherlands
- Centre for medical systems biology, Netherlands Genomics Initiative, The Hague
- Netherlands Genomics Initiative and the Netherlands Consortium for Healthy Aging, Rotterdam, The Netherlands
| | - Ping An
- Department of Genetics Division of Statistical Genomics, Washington University School of Medicine, St. Louis, Missouri, USA
| | - Mariza de Andrade
- Department of Health Sciences Research, Mayo Clinic, Rochester, Minnesota, USA
| | - Jeanette S. Andrews
- Department of Biostatistical Sciences, Division of Public Health Sciences, Wake Forest School of Medicine, Winston-Salem, North Carolina, USA
| | - Thor Aspelund
- Icelandic Heart Association, Kopavogur, Iceland
- University of Iceland, Reykjavik, Iceland
| | - Mustafa Atalay
- Institute of Biomedicine/Physiology, University of Eastern Finland, Kuopio Campus, Kuopio, Finland
| | - Yurii Aulchenko
- Department of Epidemiology, Erasmus MC, Rotterdam, The Netherlands
| | - Beverley Balkau
- Inserm, CESP Centre for research in Epidemiology and Population Health, Villejuif, France
- University Paris Sud 11, Villejuif, France
| | | | - Jacques S. Beckmann
- Department of Medical Genetics, University of Lausanne, Lausanne, Switzerland
- Service of Medical Genetics, Centre Hospitalier Universitaire Vaudois, Lausanne, Switzerland
| | - John P. Beilby
- PathWest Laboratory Medicine of WA, J Block, QEII Medical Centre, Nedlands, Australia
- School of Pathology and Laboratory Medicine, The University of Western Australia, Nedlands, Australia
- Busselton Population Medical Research Foundation, B Block, QEII Medical Centre, Nedlands, Australia
| | - Claire Bellis
- Texas Biomedical Research Institute, San Antonio, Texas, USA
| | - Richard N. Bergman
- Department of Physiology & Biophysics, Keck School of Medicine of the University of Southern California, Los Angeles, California, USA
| | - John Blangero
- Texas Biomedical Research Institute, San Antonio, Texas, USA
| | - Mladen Boban
- Department of Pharmacology, Faculty of Medicine, University of Split, Croatia
| | - Michael Boehnke
- Department of Biostatistics and Center for Statistical Genetics, University of Michigan School of Public Health, Ann Arbor, Michigan, USA
| | - Eric Boerwinkle
- Human Genetics Center, University of Texas Health Science Center at Houston, Houston, Texas, USA
| | - Lori L. Bonnycastle
- Genome Technology Branch, National Human Genome Research Institute, Bethesda, Maryland, USA
| | - Dorret I. Boomsma
- Netherlands Twin Register, Department of Biological Psychology, VU University, Amsterdam, The Netherlands
| | - Ingrid B. Borecki
- Department of Genetics Division of Statistical Genomics, Washington University School of Medicine, St. Louis, Missouri, USA
| | - Yvonne Böttcher
- IFB Adiposity Diseases, University of Leipzig, Leipzig, Germany
| | - Claude Bouchard
- Pennington Biomedical Research Center, Baton Rouge, Louisiana, USA
| | - Eric Brunner
- University College London, Department of Epidemiology & Public Health, London, UK
| | - Danijela Budimir
- Department of Pharmacology, Faculty of Medicine, University of Split, Croatia
| | - Harry Campbell
- Centre for Population Health Sciences, University of Edinburgh, Edinburgh, UK
| | - Olga Carlson
- Laboratory of Clinical Investigation, National Institute of Aging, Baltimore, Maryland, USA
| | - Peter S. Chines
- Genome Technology Branch, National Human Genome Research Institute, Bethesda, Maryland, USA
| | - Robert Clarke
- Clinical Trial Service Unit, University of Oxford, Oxford, UK
| | - Francis S. Collins
- Genome Technology Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, Maryland, USA
| | - Arturo Corbatón-Anchuelo
- Spanish Biomedical Research Centre in Diabetes and Associated Metabolic Disorders, Instituto de Investigación Sanitaria del Hospital Clínico San Carlos, Madrid, Spain
| | - David Couper
- Department of Biostatistics, University of North Carolina Gillings School of Global Public Health, Chapel Hill, North Carolina, USA
| | - Ulf de Faire
- Division of Cardiovascular Epidemiology, Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | - George V Dedoussis
- Department of Nutrition - Dietetics, Harokopio University, Athens, Greece
| | - Panos Deloukas
- Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hixton, Cambridge, UK
| | - Maria Dimitriou
- Department of Nutrition - Dietetics, Harokopio University, Athens, Greece
| | - Josephine M Egan
- Laboratory of Clinical Investigation, National Institute of Aging, Baltimore, Maryland, USA
| | | | - Michael R. Erdos
- Genome Technology Branch, National Human Genome Research Institute, Bethesda, Maryland, USA
| | - Johan G. Eriksson
- Department of General Practice and Primary health Care, University of Helsinki, Finland
- Helsinki University Central Hospital, Unit of General Practice, Helsinki, Finland
- Folkhalsan Research Centre, Helsinki, Finland
- Vaasa Central Hospital, Vaasa, Finland
- National Institute for Health and Welfare, Helsinki, Finland
| | - Elodie Eury
- Institut Pasteur de Lille, Lille, France
- Lille Nord de France University, Lille, France
| | - Luigi Ferrucci
- Longitudinal Studies Section, Clinical Research Branch, National Institute on Aging, Baltimore, Maryland, USA
| | - Ian Ford
- Robertson Centre for Biostatistics, University of Glasgow, UK
| | - Nita G. Forouhi
- MRC Epidemiology Unit, Institute of Metabolic Science, Addenbrooke’s Hospital, Cambridge, UK
| | - Caroline S Fox
- National Heart, Lung, and Blood Institute’s Framingham Heart Study, Framingham, Massachusetts, USA
- Division of Endocrinology, Diabetes, and Hypertension, Brigham and Women’s Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - Maria Grazia Franzosi
- Department of Cardiovascular Research, Mario Negri Institute for Pharmacological Research, Milan, Italy
| | - Paul W Franks
- Department of Clinical Sciences, Diabetes and Endocrinology, Lund University, Malmö, Sweden
- Lund University Diabetes Centre, Malmö, Sweden
- Department of Public Health & Clinical Medicine, Genetic Epidemiology & Clinical Research Group, Umeå University Hospital, Umeå, Sweden
- Department of Nutrition, Harvard School of Public Health, Boston, Massachusetts, USA
- Institut National de la Recherche Agronomique, Université Paris, Bobigny Cedex, France
| | - Timothy M Frayling
- Genetics of Complex Traits, Peninsula College of Medicine and Dentistry, University of Exeter, Exeter, UK
| | - Philippe Froguel
- Institut Pasteur de Lille, Lille, France
- Lille Nord de France University, Lille, France
- Genomic Medicine, Hammersmith Hospital, Imperial College London, London, UK
| | - Pilar Galan
- Institut National de la Santé et de la Recherche Médicale, Université Paris, Bobigny Cedex, France
| | - Eco de Geus
- Netherlands Twin Register, Department of Biological Psychology, VU University, Amsterdam, The Netherlands
| | - Bruna Gigante
- Division of Cardiovascular Epidemiology, Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Nicole L. Glazer
- Department of Medicine, Section of Preventive Medicine and Epidemiology, BU School of Medicine, Boston, Massachusetts, USA
- Department of Epidemiology, BU School of Public Health, Boston, Massachusetts, USA
| | - Anuj Goel
- Department of Cardiovascular Medicine and Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, UK
| | - Leif Groop
- Department of Clinical Sciences, Diabetes and Endocrinology, Lund University, Malmö, Sweden
- Lund University Diabetes Centre, Malmö, Sweden
| | - Vilmundur Gudnason
- Icelandic Heart Association, Kopavogur, Iceland
- University of Iceland, Reykjavik, Iceland
| | - Göran Hallmans
- Department of Public Health & Clinical Medicine, Nutrition Research, Umeå University, Sweden
| | - Anders Hamsten
- Atherosclerosis Research Unit, Department of Medicine Solna, Karolinska Institutet, Stockholm, Sweden
| | - Ola Hansson
- Department of Clinical Sciences, Diabetes and Endocrinology, Lund University, Malmö, Sweden
- Lund University Diabetes Centre, Malmö, Sweden
| | - Tamara B. Harris
- Intramural Research Program, Laboratory of Epidemiology, Demography, and Biometry, National Institute on Aging, Bethesda, Maryland, USA
| | - Caroline Hayward
- MRC Human Genetics Unit, MRC IGMM, University of Edinburgh, Edinburgh, UK
| | - Simon Heath
- Centre National de Génotypage, Commissariat à L’Energie Atomique, Institut de Génomique, Evry, France
| | - Serge Hercberg
- Institut National de la Santé et de la Recherche Médicale, Université Paris, Bobigny Cedex, France
| | - Andrew A. Hicks
- Center for Biomedicine, European Academy Bozen/Bolzano, Bolzano, Italy - Affiliated Institute of the University of Lübeck, Lübeck, Germany
| | - Aroon Hingorani
- Genetic epidemiology group, University College London, Department of Epidemiology & Public Health, London, UK
| | - Albert Hofman
- Department of Epidemiology, Erasmus MC, Rotterdam, The Netherlands
- Netherlands Genomics Initiative and the Netherlands Consortium for Healthy Aging, Rotterdam, The Netherlands
| | - Jennie Hui
- PathWest Laboratory Medicine of WA, J Block, QEII Medical Centre, Nedlands, Australia
- School of Pathology and Laboratory Medicine, The University of Western Australia, Nedlands, Australia
- Busselton Population Medical Research Foundation, B Block, QEII Medical Centre, Nedlands, Australia
- School of Population Health, The University of Western Australia, Nedlands, Australia
| | - Joseph Hung
- Busselton Population Medical Research Foundation, B Block, QEII Medical Centre, Nedlands, Australia
- Sir Charles Gairdner Hospital Unit, School of Medicine & Pharmacology, University of Western Australia, Australia
| | - Marjo Riitta Jarvelin
- Department of Epidemiology and Biostatistics, School of Public Health, MRC-HPA Centre for Environment and Health, Faculty of Medicine, Imperial College London, UK
- Institute of Health Sciences, University of Oulu, Oulu, Finland
- Biocenter Oulu, University of Oulu, Oulu, Finland
- National Institute of Health and Welfare, Oulu, Finland
| | - Min A. Jhun
- Department of Epidemiology, University of Michigan, Ann Arbor, Michigan, USA
| | | | - J Wouter Jukema
- Department of Cardiology C5-P, Leiden University Medical Center, Leiden, the Netherlands
- Durrer Center for Cardiogenetic Research, Amsterdam, The Netherlands
| | - Antti Jula
- Department of Chronic Disease Prevention, National Institute for Health and Welfare, Helsinki, Finland
| | - W.H. Kao
- Division of Epidemiology, Johns Hopkins School of Public Health, Baltimore, Maryland, USA
| | - Jaakko Kaprio
- National Institute for Health and Welfare, Helsinki, Finland
- Institute for Molecular Medicine Finland, University of Helsinki, Helsinki, Finland
- Hjelt Institute, Dept of Public Health, University of Helsinki, Finland
| | - Sharon L. R. Kardia
- Department of Epidemiology, University of Michigan, Ann Arbor, Michigan, USA
| | - Sirkka Keinanen-Kiukaanniemi
- Faculty of Medicine, Institute of Health Sciences, University of Oulu, Oulu, Finland
- Unit of General Practice, Oulu University Hospital, Oulu, Finland
| | - Mika Kivimaki
- University College London, Department of Epidemiology & Public Health, London, UK
| | - Ivana Kolcic
- Department of Public Health, Faculty of Medicine, University of Split, Croatia
| | - Peter Kovacs
- Interdisciplinary Centre for Clinical Research, University of Leipzig, Leipzig, Germany
| | - Meena Kumari
- Genetic epidemiology group, University College London, Department of Epidemiology & Public Health, London, UK
| | - Johanna Kuusisto
- Department of Medicine, University of Eastern Finland and Kuopio University Hospital, Kuopio, Finland
| | - Kirsten Ohm Kyvik
- Institute of Regional Health Services Research and Professor Odense Patient data Explorative Network (OPEN)
| | - Markku Laakso
- Department of Medicine, University of Eastern Finland and Kuopio University Hospital, Kuopio, Finland
| | - Timo Lakka
- Institute of Biomedicine/Physiology, University of Eastern Finland, Kuopio Campus, Kuopio, Finland
- Kuopio Research Institute of Exercise Medicine, Kuopio, Finland
| | - Lars Lannfelt
- Department of Public Health and Caring Sciences, Uppsala University, Rudbecklaboratoriet, Uppsala, Sweden
| | - G Mark Lathrop
- Centre National de Génotypage, Commissariat à L’Energie Atomique, Institut de Génomique, Evry, France
| | - Lenore J. Launer
- Intramural Research Program, Laboratory of Epidemiology, Demography, and Biometry, National Institute on Aging, Bethesda, Maryland, USA
| | - Karin Leander
- Division of Cardiovascular Epidemiology, Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Guo Li
- Cardiovascular Health Research Unit, University of Washington, Seattle, Washington, USA
| | - Lars Lind
- Department of Medical Sciences, University Hospital, Uppsala University, Uppsala, Sweden
| | - Jaana Lindstrom
- Diabetes Prevention Unit, Department of Chronic Disease Prevention, National Institute for Health and Welfare, Helsinki, Finland
| | - Stéphane Lobbens
- Institut Pasteur de Lille, Lille, France
- Lille Nord de France University, Lille, France
| | - Ruth J. F. Loos
- MRC Epidemiology Unit, Institute of Metabolic Science, Addenbrooke’s Hospital, Cambridge, UK
| | - Jian’an Luan
- MRC Epidemiology Unit, Institute of Metabolic Science, Addenbrooke’s Hospital, Cambridge, UK
| | - Valeriya Lyssenko
- Department of Clinical Sciences, Diabetes and Endocrinology, Lund University, Malmö, Sweden
- Lund University Diabetes Centre, Malmö, Sweden
| | - Reedik Mägi
- Oxford Centre for Diabetes, Endocrinology and Metabolism, University of Oxford, Oxford, UK
- Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, UK
- Estonian Genome Center, University of Tartu, Tartu, Estonia
| | - Patrik K. E. Magnusson
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Michael Marmot
- University College London, Department of Epidemiology & Public Health, London, UK
| | - Pierre Meneton
- Institut National de la Santé et de la Recherche Médicale, Centre de Recherche des Cordeliers, Paris, France
| | - Karen L. Mohlke
- Department of Genetics, University of North Carolina, Chapel Hill, North Carolina, USA
| | - Vincent Mooser
- Division of Genetics, GlaxoSmithKline, Philadelphia, Pennsylvania, USA
| | - Mario A. Morken
- Genome Technology Branch, National Human Genome Research Institute, Bethesda, Maryland, USA
| | - Iva Miljkovic
- Department of Epidemiology, Center for Aging and Population Health, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - Narisu Narisu
- Genome Technology Branch, National Human Genome Research Institute, Bethesda, Maryland, USA
| | - Jeff O’Connell
- Division of Endocrinology, Diabetes, and Nutrition, Department of Medicine, University of Maryland, School of Medicine, Baltimore, Maryland, USA
| | - Ken K. Ong
- MRC Epidemiology Unit, Institute of Metabolic Science, Addenbrooke’s Hospital, Cambridge, UK
| | - Ben A. Oostra
- Department of Clinical Genetics, Erasmus MC, Rotterdam, The Netherlands
| | - Lyle J. Palmer
- Genetic Epidemiology and Biostatistics Platform, Ontario Institute for Cancer Research. Toronto, Canada
- Prosserman Centre for Health Research, Samuel Lunenfeld Research Institute, Toronto, Canada
| | - Aarno Palotie
- Program in Medical and Population Genetics, Broad Institute, Cambridge, Massachusetts, USA
- Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hixton, Cambridge, UK
- Institute for Molecular Medicine Finland, University of Helsinki, Helsinki, Finland
- Department of Medical Genetics, University of Helsinki and Helsinki University Central Hospital, Finland
| | - James S. Pankow
- Division of Epidemiology and Community Health, University of Minnesota School of Public Health, Minneapolis, Minnesota, USA
| | - John F. Peden
- Department of Cardiovascular Medicine and Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, UK
| | - Nancy L. Pedersen
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Marina Pehlic
- Department of Biology, Faculty of Medicine, University of Split, Croatia
| | - Leena Peltonen
- Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hixton, Cambridge, UK
- Institute for Molecular Medicine Finland, University of Helsinki, Helsinki, Finland
| | - Brenda Penninx
- Department of Psychiatry, Leiden University Medical Center, Leiden, The Netherlands
- Department of Psychiatry, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
- Department Psychiatry, EMGO Institute for Health and Care Research and Institute for Neurosciences, VU University Medical Center, Amsterdam, The Netherlands
| | | | - Markus Perola
- Department of Chronic Disease Prevention, National Institute for Health and Welfare, Helsinki, Finland
| | - Louis Perusse
- Department of Preventive Medicine, Laval University, Quebec, Canada
| | - Patricia A Peyser
- Department of Epidemiology, University of Michigan, Ann Arbor, Michigan, USA
| | - Ozren Polasek
- Department of Public Health, Faculty of Medicine, University of Split, Croatia
| | - Peter P. Pramstaller
- Center for Biomedicine, European Academy Bozen/Bolzano, Bolzano, Italy - Affiliated Institute of the University of Lübeck, Lübeck, Germany
| | - Michael A. Province
- Department of Genetics Division of Statistical Genomics, Washington University School of Medicine, St. Louis, Missouri, USA
| | - Katri Räikkönen
- Institute of Behavioural Sciences, University of Helsinki, Helsinki, Finland
| | - Rainer Rauramaa
- Kuopio Research Institute of Exercise Medicine, Kuopio, Finland
- Department of Clinical Physiology and Nuclear Medicine, Kuopio University Hospital, Kuopio, Finland
| | - Emil Rehnberg
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Ken Rice
- Department of Biostatistics, University of Washington, Seattle, Washington, USA
| | | | - Igor Rudan
- Centre for Population Health Sciences, University of Edinburgh, Edinburgh, UK
- Centre for Global Health, University of Split, Croatia
| | - Aimo Ruokonen
- Institute of Clinical Medicine, University of Oulu, Finland
| | - Timo Saaristo
- Finnish Diabetes Association, Tampere, Finland
- Pirkanmaa Hospital District, Tampere, Finland
| | - Maria Sabater-Lleal
- Atherosclerosis Research Unit, Department of Medicine Solna, Karolinska Institutet, Stockholm, Sweden
| | - Veikko Salomaa
- Department of Chronic Disease Prevention, National Institute for Health and Welfare, Helsinki, Finland
| | - David B. Savage
- Metabolic Research Laboratories, Institute of Metabolic Science, University of Cambridge, Addenbrooke’s Hospital, Cambridge, UK
| | - Richa Saxena
- Program in Medical and Population Genetics, Broad Institute, Cambridge, Massachusetts, USA
- Center for Human Genetic Research, Massachusetts General Hospital, Boston, Massachusetts, USA
| | - Peter Schwarz
- Department of Medicine, Division Prevention and Care of Diabetes, University of Dresden, Dresden, Germany
| | - Udo Seedorf
- Leibniz Institute for Arteriosclerosis Research, University of Munster, Germany
| | - Bengt Sennblad
- Atherosclerosis Research Unit, Department of Medicine Solna, Karolinska Institutet, Stockholm, Sweden
| | - Manuel Serrano-Rios
- Spanish Biomedical Research Centre in Diabetes and Associated Metabolic Disorders, Instituto de Investigación Sanitaria del Hospital Clínico San Carlos, Madrid, Spain
| | - Alan R. Shuldiner
- Division of Endocrinology, Diabetes, and Nutrition, Department of Medicine, University of Maryland, School of Medicine, Baltimore, Maryland, USA
- Geriatric Research and Education Clinical Center, Veterans Administration Medical Center, Baltimore, Maryland, USA
| | | | - David S. Siscovick
- Cardiovascular Health Research Unit, University of Washington, Seattle, Washington, USA
- Department of Medicine, University of Washington, Seattle, Washington, USA
- Department of Epidemiology, University of Washington, Seattle, Washington, USA
| | - Johannes H. Smit
- Department of Psychiatry, Neuroscience Campus Amsterdam, VU University Medical Centre, Amsterdam, The Netherlands
| | - Kerrin S. Small
- Department of Twin Research and Genetic Epidemiology, King’s College London, London, UK
| | - Nicholas L. Smith
- Department of Medicine, University of Washington, Seattle, Washington, USA
- Department of Epidemiology, University of Washington, Seattle, Washington, USA
- Group Health Research Institute, Group Health Cooperative, Seattle, Washington, USA
- Seattle Epidemiologic Research and Information Center, Veterans Affairs Office of Research and Development, Seattle, WA, USA
| | - Albert Vernon Smith
- Icelandic Heart Association, Kopavogur, Iceland
- University of Iceland, Reykjavik, Iceland
| | - Alena Stančáková
- Department of Medicine, University of Eastern Finland and Kuopio University Hospital, Kuopio, Finland
| | - Kathleen Stirrups
- Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hixton, Cambridge, UK
| | - Michael Stumvoll
- IFB Adiposity Diseases, University of Leipzig, Leipzig, Germany
- Department of Medicine, University of Leipzig, Division of Endocrinology and Diabetes, Leipzig, Germany
| | - Yan V. Sun
- Department of Epidemiology, Emory University, Atlanta, Georgia, US
| | - Amy J. Swift
- Genome Technology Branch, National Human Genome Research Institute, Bethesda, Maryland, USA
| | - Anke Tönjes
- IFB Adiposity Diseases, University of Leipzig, Leipzig, Germany
- Department of Medicine, University of Leipzig, Division of Endocrinology and Diabetes, Leipzig, Germany
| | - Jaakko Tuomilehto
- Diabetes Prevention Unit, National Institute for Health and Welfare, Helsinki, Finland
- South Ostrobothnia Central Hospital, Seinäjoki, Finland
- Hospital Universitario La Paz, Madrid, Spain
- Centre for Vascular Prevention, Danube-University Krems, Krems, Austria
| | - Stella Trompet
- Department of Cardiology C5-P, Leiden University Medical Center, Leiden, the Netherlands
| | - Andre G. Uitterlinden
- Department of Epidemiology, Erasmus MC, Rotterdam, The Netherlands
- Netherlands Genomics Initiative and the Netherlands Consortium for Healthy Aging, Rotterdam, The Netherlands
- Department of Internal Medicine, Erasmus MC, Rotterdam, The Netherlands
| | - Matti Uusitupa
- Institute of Public Health and Clinical Nutrition, University of Easten Finland, Kuopio, Finland
- Research Unit, Kuopio University Hospital, Kuopio, Finland
| | - Max Vikström
- Division of Cardiovascular Epidemiology, Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Veronique Vitart
- MRC Human Genetics Unit, MRC IGMM, University of Edinburgh, Edinburgh, UK
| | - Marie-Claude Vohl
- Department of Food Science and Nutrition, Laval University, Quebec, Canada
| | - Benjamin F. Voight
- Program in Medical and Population Genetics, Broad Institute, Cambridge, Massachusetts, USA
| | - Peter Vollenweider
- Department of Internal Medicine, Centre Hospitalier Universitaire Vaudois, Lausanne, Switzerland
| | - Gerard Waeber
- Department of Internal Medicine, Centre Hospitalier Universitaire Vaudois, Lausanne, Switzerland
| | - Dawn M Waterworth
- Division of Genetics, GlaxoSmithKline, Philadelphia, Pennsylvania, USA
| | - Hugh Watkins
- Department of Cardiovascular Medicine and Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, UK
| | - Eleanor Wheeler
- Metabolic Disease Group, Wellcome Trust Sanger Institute, Hinxton, UK
| | - Elisabeth Widen
- Institute for Molecular Medicine Finland, University of Helsinki, Finland
| | - Sarah H. Wild
- Centre for Population Health Sciences, University of Edinburgh, Edinburgh, UK
| | - Sara M. Willems
- Department of Epidemiology, Erasmus MC, Rotterdam, The Netherlands
| | - Gonneke Willemsen
- Netherlands Twin Register, Department of Biological Psychology, VU University, Amsterdam, The Netherlands
| | - James F. Wilson
- Centre for Population Health Sciences, University of Edinburgh, Edinburgh, UK
| | - Jacqueline C.M. Witteman
- Department of Epidemiology, Erasmus MC, Rotterdam, The Netherlands
- Netherlands Genomics Initiative and the Netherlands Consortium for Healthy Aging, Rotterdam, The Netherlands
| | - Alan F. Wright
- MRC Human Genetics Unit, MRC IGMM, University of Edinburgh, Edinburgh, UK
| | - Hanieh Yaghootkar
- Genetics of Complex Traits, Peninsula College of Medicine and Dentistry, University of Exeter, Exeter, UK
| | - Diana Zelenika
- Centre National de Génotypage, Commissariat à L’Energie Atomique, Institut de Génomique, Evry, France
| | - Tatijana Zemunik
- Department of Biology, Faculty of Medicine, University of Split, Croatia
| | - Lina Zgaga
- Centre for Population Health Sciences, University of Edinburgh, Edinburgh, UK
- Department of medical statistics, epidemiology and medical informatics, University of Zagreb, Zagreb, Croatia
| | | | | | - Nicholas J. Wareham
- MRC Epidemiology Unit, Institute of Metabolic Science, Addenbrooke’s Hospital, Cambridge, UK
| | - Mark I. McCarthy
- Oxford Centre for Diabetes, Endocrinology and Metabolism, University of Oxford, Oxford, UK
- Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, UK
- Oxford NIHR Biomedical Research Centre, Churchill Hospital, Oxford, UK
| | - Ines Barroso
- Metabolic Disease Group, Wellcome Trust Sanger Institute, Hinxton, UK
- University of Cambridge, Metabolic Research Laboratories, Institute of Metabolic Science, Addenbrooke’s Hospital, Cambridge, UK
| | - Richard M. Watanabe
- Department of Physiology & Biophysics, Keck School of Medicine of the University of Southern California, Los Angeles, California, USA
- Department of Preventive Medicine, Keck School of Medicine of the University of Southern California, Los Angeles, California, USA
| | - Jose C. Florez
- Program in Medical and Population Genetics, Broad Institute, Cambridge, Massachusetts, USA
- Department of Medicine, Harvard Medical School, Boston, Massachusetts, USA
- Center for Human Genetic Research, Massachusetts General Hospital, Boston, Massachusetts, USA
- Diabetes Research Center, Diabetes Unit, Massachusetts General Hospital, Boston, Massachusetts, USA
| | - Josée Dupuis
- Department of Biostatistics, Boston University School of Public Health, Boston, Massachusetts, USA
- National Heart, Lung, and Blood Institute’s Framingham Heart Study, Framingham, Massachusetts, USA
| | - James B. Meigs
- General Medicine Division, Massachusetts General Hospital, Boston, Massachusetts, USA
- Department of Medicine, Harvard Medical School, Boston, Massachusetts, USA
| | - Claudia Langenberg
- MRC Epidemiology Unit, Institute of Metabolic Science, Addenbrooke’s Hospital, Cambridge, UK
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Morcavallo A, Genua M, Palummo A, Kletvikova E, Jiracek J, Brzozowski AM, Iozzo RV, Belfiore A, Morrione A. Insulin and insulin-like growth factor II differentially regulate endocytic sorting and stability of insulin receptor isoform A. J Biol Chem 2012; 287:11422-36. [PMID: 22318726 DOI: 10.1074/jbc.m111.252478] [Citation(s) in RCA: 71] [Impact Index Per Article: 5.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022] Open
Abstract
The insulin receptor isoform A (IR-A) binds both insulin and insulin-like growth factor (IGF)-II, although the affinity for IGF-II is 3-10-fold lower than insulin depending on a cell and tissue context. Notably, in mouse embryonic fibroblasts lacking the IGF-IR and expressing solely the IR-A (R-/IR-A), IGF-II is a more potent mitogen than insulin. As receptor endocytosis and degradation provide spatial and temporal regulation of signaling events, we hypothesized that insulin and IGF-II could affect IR-A biological responses by differentially regulating IR-A trafficking. Using R-/IR-A cells, we discovered that insulin evoked significant IR-A internalization, a process modestly affected by IGF-II. However, the differential internalization was not due to IR-A ubiquitination. Notably, prolonged stimulation of R-/IR-A cells with insulin, but not with IGF-II, targeted the receptor to a degradative pathway. Similarly, the docking protein insulin receptor substrate 1 (IRS-1) was down-regulated after prolonged insulin but not IGF-II exposure. Similar results were also obtained in experiments using [NMeTyr(B26)]-insulin, an insulin analog with IR-A binding affinity similar to IGF-II. Finally, we discovered that IR-A was internalized through clathrin-dependent and -independent pathways, which differentially regulated the activation of downstream effectors. Collectively, our results suggest that a lower affinity of IGF-II for the IR-A promotes lower IR-A phosphorylation and activation of early downstream effectors vis à vis insulin but may protect IR-A and IRS-1 from down-regulation thereby evoking sustained and robust mitogenic stimuli.
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Affiliation(s)
- Alaide Morcavallo
- Department of Urology and Endocrine Mechanisms and Hormone Action Program, Thomas Jefferson University, Philadelphia, Pennsylvania 19107, USA
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Jozic I, Blanco G, Barbieri MA. Inhibition of Rab5 Activation During Insulin Receptor-Mediated Endocytosis. CURRENT CELLULAR BIOCHEMISTRY 2011; 1:20-32. [PMID: 24765621 PMCID: PMC3995085] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Subscribe] [Scholar Register] [Indexed: 06/03/2023]
Abstract
Activation of receptor tyrosine kinases is a key feature in receptor signaling and membrane trafficking processes. In this study, we found that the insulin receptor tyrosine kinase activity is required for fusion between early endosomes. AG1024, a receptor tyrosine kinase inhibitor, blocked the in vitro endosome fusion in a concentration-dependent manner. We observed that Rab5: wild type partially rescued the fusion reaction, whereas Rab5: Q79L mutant fully rescued it. We also observed that treatment of cells with insulin receptor kinase inhibitor HNMPA-(AM)3 blocked the formation of Rab5-positive endosomes as well as the activation of Rab5 upon addition of insulin in intact cells. HNMPA-(AM)3 inhibitor also affected the endosomal co-localization of Rab5 and insulin receptor. However, the formation of Rab5: Q79L mutant-positive endosomes were not affected by the HNMPA-(AM)3 inhibitor. In addition, HNMPA-(AM)3 inhibitor affected the association of Rin1 to membrane upon insulin stimulation. Furthermore, Rin1 did not fully support endosome fusion in the presence of the AG1024 inhibitor. These results constitute the first evidence that, at least in part, the enzymatic activity of insulin receptor is required for the fusion events via the activation of Rab5.
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Affiliation(s)
- Ivan Jozic
- Department of Biological Sciences, Florida International University, Miami, FL 33199
| | - Gustavo Blanco
- Department Molecular & Integrative Physiology, University of Kansas Medical Center, Kansas City, KS 66160
| | - M. Alejandro Barbieri
- Department of Biological Sciences, Florida International University, Miami, FL 33199
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Magee DA, Sikora KM, Berkowicz EW, Berry DP, Howard DJ, Mullen MP, Evans RD, Spillane C, MacHugh DE. DNA sequence polymorphisms in a panel of eight candidate bovine imprinted genes and their association with performance traits in Irish Holstein-Friesian cattle. BMC Genet 2010; 11:93. [PMID: 20942903 PMCID: PMC2965127 DOI: 10.1186/1471-2156-11-93] [Citation(s) in RCA: 41] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2010] [Accepted: 10/13/2010] [Indexed: 12/17/2022] Open
Abstract
Background Studies in mice and humans have shown that imprinted genes, whereby expression from one of the two parentally inherited alleles is attenuated or completely silenced, have a major effect on mammalian growth, metabolism and physiology. More recently, investigations in livestock species indicate that genes subject to this type of epigenetic regulation contribute to, or are associated with, several performance traits, most notably muscle mass and fat deposition. In the present study, a candidate gene approach was adopted to assess 17 validated single nucleotide polymorphisms (SNPs) and their association with a range of performance traits in 848 progeny-tested Irish Holstein-Friesian artificial insemination sires. These SNPs are located proximal to, or within, the bovine orthologs of eight genes (CALCR, GRB10, PEG3, PHLDA2, RASGRF1, TSPAN32, ZIM2 and ZNF215) that have been shown to be imprinted in cattle or in at least one other mammalian species (i.e. human/mouse/pig/sheep). Results Heterozygosities for all SNPs analysed ranged from 0.09 to 0.46 and significant deviations from Hardy-Weinberg proportions (P ≤ 0.01) were observed at four loci. Phenotypic associations (P ≤ 0.05) were observed between nine SNPs proximal to, or within, six of the eight analysed genes and a number of performance traits evaluated, including milk protein percentage, somatic cell count, culled cow and progeny carcass weight, angularity, body conditioning score, progeny carcass conformation, body depth, rump angle, rump width, animal stature, calving difficulty, gestation length and calf perinatal mortality. Notably, SNPs within the imprinted paternally expressed gene 3 (PEG3) gene cluster were associated (P ≤ 0.05) with calving, calf performance and fertility traits, while a single SNP in the zinc finger protein 215 gene (ZNF215) was associated with milk protein percentage (P ≤ 0.05), progeny carcass weight (P ≤ 0.05), culled cow carcass weight (P ≤ 0.01), angularity (P ≤ 0.01), body depth (P ≤ 0.01), rump width (P ≤ 0.01) and animal stature (P ≤ 0.01). Conclusions Of the eight candidate bovine imprinted genes assessed, DNA sequence polymorphisms in six of these genes (CALCR, GRB10, PEG3, RASGRF1, ZIM2 and ZNF215) displayed associations with several of the phenotypes included for analyses. The genotype-phenotype associations detected here are further supported by the biological function of these six genes, each of which plays important roles in mammalian growth, development and physiology. The associations between SNPs within the imprinted PEG3 gene cluster and traits related to calving, calf performance and gestation length suggest that this domain on chromosome 18 may play a role regulating pre-natal growth and development and fertility. SNPs within the bovine ZNF215 gene were associated with bovine growth and body conformation traits and studies in humans have revealed that the human ZNF215 ortholog belongs to the imprinted gene cluster associated with Beckwith-Wiedemann syndrome--a genetic disorder characterised by growth abnormalities. Similarly, the data presented here suggest that the ZNF215 gene may have an important role in regulating bovine growth. Collectively, our results support previous work showing that (candidate) imprinted genes/loci contribute to heritable variation in bovine performance traits and suggest that DNA sequence polymorphisms within these genes/loci represents an important reservoir of genomic markers for future genetic improvement of dairy and beef cattle populations.
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Affiliation(s)
- David A Magee
- Animal Genomics Laboratory, UCD School of Agriculture, Food Science and Veterinary Medicine, University College Dublin, Belfield, Dublin 4, Ireland.
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Higashi S, Iseki E, Minegishi M, Togo T, Kabuta T, Wada K. GIGYF2 is present in endosomal compartments in the mammalian brains and enhances IGF-1-induced ERK1/2 activation. J Neurochem 2010; 115:423-37. [PMID: 20670374 DOI: 10.1111/j.1471-4159.2010.06930.x] [Citation(s) in RCA: 26] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/04/2023]
Abstract
GIGYF2 has been reported as a candidate gene for PARK11-linked Parkinson's disease (PD). Heterozygous knockout of GIGYF2 results in neurodegeneration, suggesting important roles for GIGYF2 (Grb10 interacting GYF protein 2) in the CNS. In this study, we used novel GIGYF2 antibodies to clarify the distribution and function of GIGYF2. GIGYF2 was widely expressed, most highly in the pancreas and testis, and moderately in brain, lung, liver, kidney and spleen. In the brain, GIGYF2 was tightly associated with membrane in the S3 fraction, and localised in neuronal perikarya and proximal dendrites. Immunohistochemical analysis indicated sites of GIGYF2 localisation throughout the mouse brain, with high levels in the cerebral cortex, hippocampus, cerebellum, olfactory bulb and brainstem nuclei, but low levels in the substantia nigra and striatum. GIGYF2 was present in endosomes immunopositive for Rab4 and Grb10. Expression of GIGYF2 altered insulin-like growth factor-1 (IGF-1) receptor trafficking and enhanced IGF-1-induced extracellular signal-regulated kinase 1/2 phosphorylation, but not IGF-1 receptor or serine/threonine protein kinase Akt phosphorylation. There were no significant differences in signalling activation between cells expressing wild-type and putative PD-associated mutant GIGYF2. In PD brains, GIGYF2 did not localise to Lewy bodies. Our findings indicate a role for GIGYF2 in the regulation of signalling at endosomes, but no contribution of GIGYF2 to the pathogenesis of PD.
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Affiliation(s)
- Shinji Higashi
- Department of Degenerative Neurological Diseases, National Institute of Neuroscience, National Center of Neurology and Psychiatry, Ogawa-Higashi, Kodaira-shi, Tokyo, Japan.
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Charalambous M, Cowley M, Geoghegan F, Smith FM, Radford EJ, Marlow BP, Graham CF, Hurst LD, Ward A. Maternally-inherited Grb10 reduces placental size and efficiency. Dev Biol 2009; 337:1-8. [PMID: 19833122 DOI: 10.1016/j.ydbio.2009.10.011] [Citation(s) in RCA: 66] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2009] [Revised: 10/02/2009] [Accepted: 10/02/2009] [Indexed: 01/01/2023]
Abstract
The control of foetal growth is poorly understood and yet it is critically important that at birth the body has attained appropriate size and proportions. Growth and survival of the mammalian foetus is dependent upon a functional placenta throughout most of gestation. A few genes are known that influence both foetal and placental growth and might therefore coordinate growth of the conceptus, including the imprinted Igf2 and Grb10 genes. Grb10 encodes a signalling adapter protein, is expressed predominantly from the maternally-inherited allele and acts to restrict foetal and placental growth. Here, we show that following disruption of the maternal allele in mice, the labyrinthine volume was increased in a manner consistent with a cell-autonomous function of Grb10 and the enlarged placenta was more efficient in supporting foetal growth. Thus, Grb10 is the first example of a gene that acts to limit placental size and efficiency. In addition, we found that females inheriting a mutant Grb10 allele from their mother had larger litters and smaller offspring than those inheriting a mutant allele from their father. This grandparental effect suggests Grb10 can influence reproductive strategy through the allocation of maternal resources such that offspring number is offset against size.
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Affiliation(s)
- Marika Charalambous
- Department of Biology and Biochemistry, University of Bath, Building 4 South, Bath BA27AY, UK
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Ureche ON, Ureche L, Henrion U, Strutz-Seebohm N, Bundis F, Steinmeyer K, Lang F, Seebohm G. Differential modulation of cardiac potassium channels by Grb adaptor proteins. Biochem Biophys Res Commun 2009; 384:28-31. [PMID: 19371729 DOI: 10.1016/j.bbrc.2009.04.035] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2009] [Accepted: 04/09/2009] [Indexed: 11/30/2022]
Abstract
Scaffolding growth factor receptor-bound (Grb) adaptor proteins are components of macromolecular signaling complexes at the plasma membrane and thus are putative regulators of ion channel activity. The present study aimed to define the impact of Grb adaptor proteins on the function of cardiac K(+) channels. To this end channel proteins were coinjected with the adaptor proteins in Xenopus oocytes and channel activity analyzed with two-electrode voltage-clamp. It is shown that coexpression of Grb adaptor proteins can reduce current amplitudes of coexpressed channels. Grb7 and 10 significantly inhibited functional currents generated by hERG, Kv1.5 and Kv4.3 channels. Only Grb10 significantly inhibited KCNQ1/KCNE1 K(+) channels, and only Grb7 reduced Kir2.3 activity, whereas neither Grb protein significantly affected the closely related Kir2.1 and Kir2.2 channels. The present observations for the first time provide evidence for a selective and modulatory role of Grb adaptor proteins in the functional expression of cardiac K(+) channels.
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Affiliation(s)
- Oana N Ureche
- Physiologisches Institut 1, University Tuebingen, Tuebingen, Germany
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Shiura H, Nakamura K, Hikichi T, Hino T, Oda K, Suzuki-Migishima R, Kohda T, Kaneko-ishino T, Ishino F. Paternal deletion of Meg1/Grb10 DMR causes maternalization of the Meg1/Grb10 cluster in mouse proximal Chromosome 11 leading to severe pre- and postnatal growth retardation. Hum Mol Genet 2009; 18:1424-38. [PMID: 19174477 DOI: 10.1093/hmg/ddp049] [Citation(s) in RCA: 57] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/31/2023] Open
Abstract
Mice with maternal duplication of proximal Chromosome 11 (MatDp(prox11)), where Meg1/Grb10 is located, exhibit pre- and postnatal growth retardation. To elucidate the responsible imprinted gene for the growth abnormality, we examined the precise structure and regulatory mechanism of this imprinted region and generated novel model mice mimicking the pattern of imprinted gene expression observed in the MatDp(prox11) by deleting differentially methylated region of Meg1/Grb10 (Meg1-DMR). It was found that Cobl and Ddc, the neighboring genes of Meg1/Grb10, also comprise the imprinted region. We also found that the mouse-specific repeat sequence consisting of several CTCF-binding motifs in the Meg1-DMR functions as a silencer, suggesting that the Meg1/Grb10 imprinted region adopted a different regulatory mechanism from the H19/Igf2 region. Paternal deletion of the Meg1-DMR (+/DeltaDMR) caused both upregulation of the maternally expressed Meg1/Grb10 Type I in the whole body and Cobl in the yolk sac and loss of paternally expressed Meg1/Grb10 Type II and Ddc in the neonatal brain and heart, respectively, demonstrating maternalization of the entire Meg1/Grb10 imprinted region. We confirmed that the +/DeltaDMR mice exhibited the same growth abnormalities as the MatDp(prox11) mice. Fetal and neonatal growth was very sensitive to the expression level of Meg1/Grb10 Type I, indicating that the 2-fold increment of the Meg1/Grb10 Type I is one of the major causes of the growth retardation observed in the MatDp(prox11) and +/DeltaDMR mice. This suggests that the corresponding human GRB10 Type I plays an important role in the etiology of Silver-Russell syndrome caused by partial trisomy of 7p11-p13.
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Affiliation(s)
- Hirosuke Shiura
- Department of Epigenetics, Medical Research Institute, Tokyo Medical and Dental University, Tokyo, Japan
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Colley BS, Cavallin MA, Biju K, Marks DR, Fadool DA. Brain-derived neurotrophic factor modulation of Kv1.3 channel is disregulated by adaptor proteins Grb10 and nShc. BMC Neurosci 2009; 10:8. [PMID: 19166614 PMCID: PMC2656512 DOI: 10.1186/1471-2202-10-8] [Citation(s) in RCA: 25] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2008] [Accepted: 01/23/2009] [Indexed: 02/07/2023] Open
Abstract
BACKGROUND Neurotrophins are important regulators of growth and regeneration, and acutely, they can modulate the activity of voltage-gated ion channels. Previously we have shown that acute brain-derived neurotrophic factor (BDNF) activation of neurotrophin receptor tyrosine kinase B (TrkB) suppresses the Shaker voltage-gated potassium channel (Kv1.3) via phosphorylation of multiple tyrosine residues in the N and C terminal aspects of the channel protein. It is not known how adaptor proteins, which lack catalytic activity, but interact with members of the neurotrophic signaling pathway, might scaffold with ion channels or modulate channel activity. RESULTS We report the co-localization of two adaptor proteins, neuronal Src homology and collagen (nShc) and growth factor receptor-binding protein 10 (Grb10), with Kv1.3 channel as demonstrated through immunocytochemical approaches in the olfactory bulb (OB) neural lamina. To further explore the specificity and functional ramification of adaptor/channel co-localization, we performed immunoprecipitation and Western analysis of channel, kinase, and adaptor transfected human embryonic kidney 293 cells (HEK 293). nShc formed a direct protein-protein interaction with Kv1.3 that was independent of BDNF-induced phosphorylation of Kv1.3, whereas Grb10 did not complex with Kv1.3 in HEK 293 cells. Both adaptors, however, co-immunoprecipitated with Kv1.3 in native OB. Grb10 was interestingly able to decrease the total expression of Kv1.3, particularly at the membrane surface, and subsequently eliminated the BDNF-induced phosphorylation of Kv1.3. To examine the possibility that the Src homology 2 (SH2) domains of Grb10 were directly binding to basally phosphorylated tyrosines in Kv1.3, we utilized point mutations to substitute multiple tyrosine residues with phenylalanine. Removal of the tyrosines 111-113 and 449 prevented Grb10 from decreasing Kv1.3 expression. In the absence of either adaptor protein, channel co-expression reciprocally down-regulated expression and tyrosine phosphorylation of TrkB kinase and related insulin receptor kinase. Finally, through patch-clamp electrophysiology, we found that the BDNF-induced current suppression of the channel was prevented by both nShc and Grb10. CONCLUSION We report that adaptor protein alteration of kinase-induced Kv1.3 channel modulation is related to the degree of direct protein-protein association and that the channel itself can reciprocally modulate receptor-linked tyrosine kinase expression and activity.
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Affiliation(s)
- Beverly S Colley
- Department of Biological Science, Programs in Neuroscience and Molecular Biophysics, The Florida State University, Tallahassee, Florida, USA.
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Deng Y, Zhang M, Riedel H. Mitogenic roles of Gab1 and Grb10 as direct cellular partners in the regulation of MAP kinase signaling. J Cell Biochem 2008; 105:1172-82. [DOI: 10.1002/jcb.21829] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
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Laviola L, Natalicchio A, Perrini S, Giorgino F. Abnormalities of IGF-I signaling in the pathogenesis of diseases of the bone, brain, and fetoplacental unit in humans. Am J Physiol Endocrinol Metab 2008; 295:E991-9. [PMID: 18713961 DOI: 10.1152/ajpendo.90452.2008] [Citation(s) in RCA: 39] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
Abstract
IGF-I action is essential for the regulation of tissue formation and remodeling, bone growth, prenatal growth, brain development, and muscle metabolism. Cellular effects of IGF-I are mediated through the IGF-I receptor, a transmembrane tyrosine kinase that phosphorylates intracellular substrates, resulting in the activation of multiple intracellular signaling cascades. Dysregulation of IGF-I actions due to impairment in the postreceptor signaling machinery may contribute to multiple diseases in humans. This article will review current information on IGF-I signaling and illustrate recent results demonstrating how impaired IGF-I signaling and action may contribute to the pathogenesis of human diseases, including osteoporosis, neurodegenerative disorders, and reduced fetal growth in utero.
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Affiliation(s)
- Luigi Laviola
- Department of Emergency and Organ Transplantation, Section of Internal Medicine, Endocrinology, and Metabolic Diseases, University of Bari, Bari, Italy
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Monami G, Emiliozzi V, Morrione A. Grb10/Nedd4-mediated multiubiquitination of the insulin-like growth factor receptor regulates receptor internalization. J Cell Physiol 2008; 216:426-37. [PMID: 18286479 DOI: 10.1002/jcp.21405] [Citation(s) in RCA: 86] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Abstract
The adaptor protein Grb10 is an interacting partner of the IGF-I receptor (IGF-IR) and the insulin receptor (IR). Previous work from our laboratory has established the role of Grb10 as a negative regulator of IGF-IR-dependent cell proliferation. We have shown that Grb10 binds the E3 ubiquitin ligase Nedd4 and promotes IGF-I-stimulated ubiquitination, internalization, and degradation of the IGF-IR, thereby giving rise to long-term attenuation of signaling. Recent biochemical evidence suggests that tyrosine-kinase receptors (RTK) may not be polyubiquitinated but monoubiquitinated at multiple sites (multiubiquitinated). However, the type of ubiquitination of the IGF-IR is still not defined. Here we show that the Grb10/Nedd4 complex upon ligand stimulation mediates multiubiquitination of the IGF-IR, which is required for receptor internalization. Moreover, Nedd4 by promoting IGF-IR ubiquitination and internalization contributes with Grb10 to negatively regulate IGF-IR-dependent cell proliferation. We also demonstrate that the IGF-IR is internalized through clathrin-dependent and-independent pathways. Grb10 and Nedd4 remain associated with the IGF-IR in early endosomes and caveosomes, where they may participate in sorting internalized receptors. Grb10 and Nedd4, unlike the IGF-IR, which is targeted for lysosomal degradation are not degraded and likely directed into recycling endosomes. These results indicate that Grb10 and Nedd4 play a critical role in mediating IGF-IR down-regulation by promoting ligand-dependent multiubiquitination of the IGF-IR, which is required for receptor internalization and regulates mitogenesis.
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Affiliation(s)
- Giada Monami
- Department of Urology, Kimmel Cancer Center, Thomas Jefferson University, Philadelphia, Pennsylvania 19107, USA
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