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Elevated systemic levels of glucocorticoids are causally related to peripheral insulin resistance. The pharmacological use of synthetic glucocorticoids (corticosteroids) often results in insulin resistance/type II diabetes. Skeletal muscle is responsible for close to 80% of the insulin-induced systemic disposal of glucose and is a major target for glucocorticoid-induced insulin resistance. We used Affymetrix gene chips to profile the dynamic changes in mRNA expression in rat skeletal muscle in response to a single bolus dose of the synthetic glucocorticoid methyl-prednisolone. Temporal expression profiles (analyzed on individual chips) were obtained from tissues of 48 drug-treated animals encompassing 16 time points over 72 h following drug administration along with four vehicle-treated controls. Data mining identified 653 regulated probe sets out of 8799 present on the chip. Of these 653 probe sets we identified 29, which represented 22 gene transcripts, that were associated with the development of insulin resistance. These 29 probe sets were regulated in three fundamental temporal patterns. 16 probe sets coding for 12 different genes had a profile of enhanced expression. 10 probe sets coding for eight different genes showed decreased expression and three probe sets coding for two genes showed biphasic temporal signatures. These transcripts were grouped into four general functional categories: signal transduction, transcription regulation, carbohydrate/fat metabolism, and regulation of blood flow to the muscle. The results demonstrate the polygenic nature of transcriptional changes associated with insulin resistance that can provide a temporal scaffolding for translational and post-translational data as they become available.
Department of Physiology, Division of Cell and Molecular Biology, Department of Medicine, Division of Endocrinology and Metabolism, Department of Laboratory Medicine and Pathobiology, Department of Nutrition, University of Toronto, Toronto, Ontario, Canada M5S 1A8
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Department of Physiology, Division of Cell and Molecular Biology, Department of Medicine, Division of Endocrinology and Metabolism, Department of Laboratory Medicine and Pathobiology, Department of Nutrition, University of Toronto, Toronto, Ontario, Canada M5S 1A8
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Department of Physiology, Division of Cell and Molecular Biology, Department of Medicine, Division of Endocrinology and Metabolism, Department of Laboratory Medicine and Pathobiology, Department of Nutrition, University of Toronto, Toronto, Ontario, Canada M5S 1A8
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Department of Physiology, Division of Cell and Molecular Biology, Department of Medicine, Division of Endocrinology and Metabolism, Department of Laboratory Medicine and Pathobiology, Department of Nutrition, University of Toronto, Toronto, Ontario, Canada M5S 1A8
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Department of Physiology, Division of Cell and Molecular Biology, Department of Medicine, Division of Endocrinology and Metabolism, Department of Laboratory Medicine and Pathobiology, Department of Nutrition, University of Toronto, Toronto, Ontario, Canada M5S 1A8
Department of Physiology, Division of Cell and Molecular Biology, Department of Medicine, Division of Endocrinology and Metabolism, Department of Laboratory Medicine and Pathobiology, Department of Nutrition, University of Toronto, Toronto, Ontario, Canada M5S 1A8
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Department of Physiology, Division of Cell and Molecular Biology, Department of Medicine, Division of Endocrinology and Metabolism, Department of Laboratory Medicine and Pathobiology, Department of Nutrition, University of Toronto, Toronto, Ontario, Canada M5S 1A8
Department of Physiology, Division of Cell and Molecular Biology, Department of Medicine, Division of Endocrinology and Metabolism, Department of Laboratory Medicine and Pathobiology, Department of Nutrition, University of Toronto, Toronto, Ontario, Canada M5S 1A8
Department of Physiology, Division of Cell and Molecular Biology, Department of Medicine, Division of Endocrinology and Metabolism, Department of Laboratory Medicine and Pathobiology, Department of Nutrition, University of Toronto, Toronto, Ontario, Canada M5S 1A8
Department of Physiology, Division of Cell and Molecular Biology, Department of Medicine, Division of Endocrinology and Metabolism, Department of Laboratory Medicine and Pathobiology, Department of Nutrition, University of Toronto, Toronto, Ontario, Canada M5S 1A8
Department of Physiology, Division of Cell and Molecular Biology, Department of Medicine, Division of Endocrinology and Metabolism, Department of Laboratory Medicine and Pathobiology, Department of Nutrition, University of Toronto, Toronto, Ontario, Canada M5S 1A8
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Specific single-nucleotide polymorphisms in intronic regions of human TCF7L2 are associated with an elevated risk of developing type 2 diabetes. Whether Tcf7l2 is expressed in pancreatic islets of rodent species at a considerable level, however, remains controversial. We used RT-PCR and quantitative RT-PCR to examine Tcf7l2 expression in rodent gut, pancreas, isolated pancreatic islets, and cultured cell lines. The expression level of Tcf7l2 was relatively lower in the pancreas compared to the gut or the pancreatic β-cell line Ins-1. Immunostaining did not detect a Tcf7l2 signal in mouse pancreatic islets. Endogenous canonical Wnt activity was not appreciable in the pancreas of TOPGAL transgenic mice. Both Tcf7 and Tcf7l1, but not Lef1, were expressed in the pancreas. The expression of the three Tcf genes (Tcf7, Tcf7l1, and Tcf7l2) in the pancreas was reduced by treatment with insulin or high-fat diet feeding, in contrast to the stimulation of Tcf7l2 expression by insulin in the gut. We suggest that hyperinsulinemia represses Tcf gene expression in the pancreas. Whether and how this reduction alters the function of pancreatic β cells during hyperinsulinemia deserves further investigation.
Laboratory of Veterinary Physiology, Tokyo University of Agriculture and Technology, Fuchu, Tokyo 183-8509, Japan
Laboratory of Animal Science, Tokyo University of Agriculture and Technology, Fuchu, Tokyo 183-8509, Japan
Department of Basic Veterinary Science, The United Graduate School of Veterinary Science, Gifu University, Gifu 501-1193, Japan
Air Pollutants Health Effect Team, National Institute of Environmental Studies, Ibaraki 305-0053, Japan
Ecological Effect Research Team, National Institute of Environmental Studies, Ibaraki 305-0053, Japan
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Laboratory of Veterinary Physiology, Tokyo University of Agriculture and Technology, Fuchu, Tokyo 183-8509, Japan
Laboratory of Animal Science, Tokyo University of Agriculture and Technology, Fuchu, Tokyo 183-8509, Japan
Department of Basic Veterinary Science, The United Graduate School of Veterinary Science, Gifu University, Gifu 501-1193, Japan
Air Pollutants Health Effect Team, National Institute of Environmental Studies, Ibaraki 305-0053, Japan
Ecological Effect Research Team, National Institute of Environmental Studies, Ibaraki 305-0053, Japan
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Laboratory of Veterinary Physiology, Tokyo University of Agriculture and Technology, Fuchu, Tokyo 183-8509, Japan
Laboratory of Animal Science, Tokyo University of Agriculture and Technology, Fuchu, Tokyo 183-8509, Japan
Department of Basic Veterinary Science, The United Graduate School of Veterinary Science, Gifu University, Gifu 501-1193, Japan
Air Pollutants Health Effect Team, National Institute of Environmental Studies, Ibaraki 305-0053, Japan
Ecological Effect Research Team, National Institute of Environmental Studies, Ibaraki 305-0053, Japan
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Laboratory of Veterinary Physiology, Tokyo University of Agriculture and Technology, Fuchu, Tokyo 183-8509, Japan
Laboratory of Animal Science, Tokyo University of Agriculture and Technology, Fuchu, Tokyo 183-8509, Japan
Department of Basic Veterinary Science, The United Graduate School of Veterinary Science, Gifu University, Gifu 501-1193, Japan
Air Pollutants Health Effect Team, National Institute of Environmental Studies, Ibaraki 305-0053, Japan
Ecological Effect Research Team, National Institute of Environmental Studies, Ibaraki 305-0053, Japan
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Laboratory of Veterinary Physiology, Tokyo University of Agriculture and Technology, Fuchu, Tokyo 183-8509, Japan
Laboratory of Animal Science, Tokyo University of Agriculture and Technology, Fuchu, Tokyo 183-8509, Japan
Department of Basic Veterinary Science, The United Graduate School of Veterinary Science, Gifu University, Gifu 501-1193, Japan
Air Pollutants Health Effect Team, National Institute of Environmental Studies, Ibaraki 305-0053, Japan
Ecological Effect Research Team, National Institute of Environmental Studies, Ibaraki 305-0053, Japan
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Laboratory of Veterinary Physiology, Tokyo University of Agriculture and Technology, Fuchu, Tokyo 183-8509, Japan
Laboratory of Animal Science, Tokyo University of Agriculture and Technology, Fuchu, Tokyo 183-8509, Japan
Department of Basic Veterinary Science, The United Graduate School of Veterinary Science, Gifu University, Gifu 501-1193, Japan
Air Pollutants Health Effect Team, National Institute of Environmental Studies, Ibaraki 305-0053, Japan
Ecological Effect Research Team, National Institute of Environmental Studies, Ibaraki 305-0053, Japan
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Laboratory of Veterinary Physiology, Tokyo University of Agriculture and Technology, Fuchu, Tokyo 183-8509, Japan
Laboratory of Animal Science, Tokyo University of Agriculture and Technology, Fuchu, Tokyo 183-8509, Japan
Department of Basic Veterinary Science, The United Graduate School of Veterinary Science, Gifu University, Gifu 501-1193, Japan
Air Pollutants Health Effect Team, National Institute of Environmental Studies, Ibaraki 305-0053, Japan
Ecological Effect Research Team, National Institute of Environmental Studies, Ibaraki 305-0053, Japan
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Laboratory of Veterinary Physiology, Tokyo University of Agriculture and Technology, Fuchu, Tokyo 183-8509, Japan
Laboratory of Animal Science, Tokyo University of Agriculture and Technology, Fuchu, Tokyo 183-8509, Japan
Department of Basic Veterinary Science, The United Graduate School of Veterinary Science, Gifu University, Gifu 501-1193, Japan
Air Pollutants Health Effect Team, National Institute of Environmental Studies, Ibaraki 305-0053, Japan
Ecological Effect Research Team, National Institute of Environmental Studies, Ibaraki 305-0053, Japan
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Laboratory of Veterinary Physiology, Tokyo University of Agriculture and Technology, Fuchu, Tokyo 183-8509, Japan
Laboratory of Animal Science, Tokyo University of Agriculture and Technology, Fuchu, Tokyo 183-8509, Japan
Department of Basic Veterinary Science, The United Graduate School of Veterinary Science, Gifu University, Gifu 501-1193, Japan
Air Pollutants Health Effect Team, National Institute of Environmental Studies, Ibaraki 305-0053, Japan
Ecological Effect Research Team, National Institute of Environmental Studies, Ibaraki 305-0053, Japan
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Laboratory of Veterinary Physiology, Tokyo University of Agriculture and Technology, Fuchu, Tokyo 183-8509, Japan
Laboratory of Animal Science, Tokyo University of Agriculture and Technology, Fuchu, Tokyo 183-8509, Japan
Department of Basic Veterinary Science, The United Graduate School of Veterinary Science, Gifu University, Gifu 501-1193, Japan
Air Pollutants Health Effect Team, National Institute of Environmental Studies, Ibaraki 305-0053, Japan
Ecological Effect Research Team, National Institute of Environmental Studies, Ibaraki 305-0053, Japan
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To elucidate changing patterns of inhibin/activin subunit mRNAs in the ovary of the golden hamster (Mesocricetus auratus) during the oestrous cycle, inhibin/activin subunit cDNAs of this species were cloned and ribonuclease protection assay and in situ hybridization were carried out. Inhibin α-subunit mRNA was localized in granulosa cells of primary, secondary, tertiary and atretic follicles throughout the 4-day oestrous cycle. It was also expressed in luteal cells on days 1 (oestrus), 2 (metoestrus) and 3 (dioestrus). βA-subunit mRNA was localized in granulosa cells of large secondary (>200 μm) and tertiary follicles throughout the oestrous cycle. βB-subunit mRNA was confined to granulosa cells of large secondary and tertiary follicles. Both α- and βA-subunit mRNAs were also found in ovarian interstitial cells and theca interna cells of tertiary and atretic follicles in the evening of day 4 (pro-oestrus). A striking increase in βA-subunit mRNA levels was also observed during the preovulatory period. The expression pattern of βA-subunit mRNA during the preovulatory period is unique and not found in other species. An i.v. injection of anti-luteinizing hormone-releasing hormone (LHRH) serum before the LH surge abolished the expression of α- and βA-subunit mRNAs in ovarian interstitial cells and theca interna cells. The treatment also abolished the preovulatory increase in βA-subunit mRNA. Furthermore, administration of human chorionic gonadotrophin (hCG), which followed the injection of anti-LHRH serum, restored the expression patterns of α- and βA-subunit mRNAs. The present study revealed that the golden hamster showed a unique expression pattern of βA-subunit mRNA in response to the LH surge.