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1.
Diabetes Obes Metab ; 8(6): 591-602, 2006 Nov.
Article in English | MEDLINE | ID: mdl-17026483

ABSTRACT

AMP-activated protein kinase (AMPK) is an enzyme that works as a fuel gauge which becomes activated in situations of energy consumption. AMPK functions to restore cellular ATP levels by modifying diverse metabolic and cellular pathways. In the skeletal muscle, AMPK is activated during exercise and is involved in contraction-stimulated glucose transport and fatty acid oxidation. In the heart, AMPK activity increases during ischaemia and functions to sustain ATP, cardiac function and myocardial viability. In the liver, AMPK inhibits the production of glucose, cholesterol and triglycerides and stimulates fatty acid oxidation. Recent studies have shown that AMPK is involved in the mechanism of action of metformin and thiazolidinediones, and the adipocytokines leptin and adiponectin. These data, along with evidence that pharmacological activation of AMPK in vivo improves blood glucose homeostasis, cholesterol concentrations and blood pressure in insulin-resistant rodents, make this enzyme an attractive pharmacological target for the treatment of type 2 diabetes, ischaemic heart disease and other metabolic diseases.


Subject(s)
Diabetes Mellitus, Type 2/physiopathology , Multienzyme Complexes/physiology , Protein Serine-Threonine Kinases/physiology , AMP-Activated Protein Kinases , Blood Glucose/metabolism , Exercise/physiology , Heart Diseases/enzymology , Humans , Hypoglycemic Agents/pharmacology , Lipid Metabolism/physiology , Liver/metabolism , Multienzyme Complexes/drug effects , Muscle, Skeletal/enzymology , Protein Serine-Threonine Kinases/drug effects
2.
Genomics ; 83(6): 980-8, 2004 Jun.
Article in English | MEDLINE | ID: mdl-15177552

ABSTRACT

DNA microarray technology is used to determine gene expression profiles of various cell types, especially abnormal cells, such as cancer. By contrast, relatively little attention has been given to expression profiling of normal tissues. Here we describe studies of gene expression in peripheral blood leukocytes (PBL) from normal individuals sampled multiple times over periods ranging from several weeks up to 6 months. We demonstrate stable patterns of gene expression that differ between individuals. Among the genes whose expression varies by individual is a group of genes responsive to interferon stimulation. Certain individuals ( approximately 10-20% of those tested) showed higher baseline levels and lower inducibility of these genes in response to in vitro interferon stimulation. These studies demonstrate the feasibility of using DNA microarrays to measure the variations in gene expression of PBL from different individuals in response to environmental and genetic factors.


Subject(s)
Gene Expression Regulation , Leukocytes/metabolism , Gene Expression Profiling , Genetic Variation , Humans , Interferons/metabolism , Lipopolysaccharides/pharmacology , Oligonucleotide Array Sequence Analysis
3.
Genomics ; 83(6): 989-99, 2004 Jun.
Article in English | MEDLINE | ID: mdl-15177553

ABSTRACT

High-capacity methods for assessing gene function have become increasingly important because of the increasing number of newly identified genes emerging from large-scale genome sequencing and cDNA cloning efforts. We investigated the use of DNA microarrays to identify uncharacterized genes specifically involved in human T cell activation. Activation of human peripheral blood T lymphocytes induced significant changes in hundreds of transcripts, but most of these were not unique to T cell activation. Variation of experimental parameters and analysis techniques allowed better enrichment for gene expression changes unique to T cell activation. Best results were achieved by identification of genes that were most highly coregulated with the T-cell-specific transcript interleukin 2 (IL2) in a "compendium" of experiments involving both T cells and other cell types. Among the genes most highly coregulated with IL2 were many genes known to function during T cell activation, together with ESTs of unknown function. Four of these ESTs were extended to novel full-length clones encoding T-cell-regulated proteins with predicted functions in GTP metabolism, cell organization, and signal transduction.


Subject(s)
Gene Expression Profiling , Gene Expression Regulation , Lymphocyte Activation/genetics , Oligonucleotide Array Sequence Analysis , T-Lymphocytes/metabolism , Base Sequence , Expressed Sequence Tags , Guanosine Triphosphate/metabolism , Humans , Interleukin-2/genetics , Molecular Sequence Data , Signal Transduction/genetics
4.
Cell ; 116(1): 121-37, 2004 Jan 09.
Article in English | MEDLINE | ID: mdl-14718172

ABSTRACT

Modern medicine faces the challenge of developing safer and more effective therapies to treat human diseases. Many drugs currently in use were discovered without knowledge of their underlying molecular mechanisms. Understanding their biological targets and modes of action will be essential to design improved second-generation compounds. Here, we describe the use of a genome-wide pool of tagged heterozygotes to assess the cellular effects of 78 compounds in Saccharomyces cerevisiae. Specifically, lanosterol synthase in the sterol biosynthetic pathway was identified as a target of the antianginal drug molsidomine, which may explain its cholesterol-lowering effects. Further, the rRNA processing exosome was identified as a potential target of the cell growth inhibitor 5-fluorouracil. This genome-wide screen validated previously characterized targets or helped identify potentially new modes of action for over half of the compounds tested, providing proof of this principle for analyzing the modes of action of clinically relevant compounds.


Subject(s)
Drug Evaluation, Preclinical/methods , Genome, Fungal , Heterozygote , Saccharomyces cerevisiae/drug effects , Fluorouracil/pharmacology , Gene Expression Profiling/methods , Intramolecular Transferases/drug effects , Intramolecular Transferases/metabolism , Molsidomine/pharmacology , Predictive Value of Tests , RNA, Ribosomal/drug effects , RNA, Ribosomal/metabolism , Reproducibility of Results , Saccharomyces cerevisiae/genetics , Saccharomyces cerevisiae/metabolism
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