New Targets for an Old Drug
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Sequence Variation in the Dihydrofolate Reductase-Thymidylate Synthase (DHFR-TS) and Trypanothione Reductase (TR) Genes of Trypanosoma Cruzi
Molecular & Biochemical Parasitology 121 (2002) 33Á/47 www.parasitology-online.com Sequence variation in the dihydrofolate reductase-thymidylate synthase (DHFR-TS) and trypanothione reductase (TR) genes of Trypanosoma cruzi Carlos A. Machado *, Francisco J. Ayala Department of Ecology and Evolutionary Biology, University of California, Irvine, CA 92697-2525, USA Received 15 November 2001; received in revised form 25 January 2002 Abstract Dihydrofolate reductase-thymidylate synthase (DHFR-TS) and trypanothione reductase (TR) are important enzymes for the metabolism of protozoan parasites from the family Trypanosomatidae (e.g. Trypanosoma spp., Leishmania spp.) that are targets of current drug-design studies. Very limited information exists on the levels of genetic polymorphism of these enzymes in natural populations of any trypanosomatid parasite. We present results of a survey of nucleotide variation in the genes coding for those enzymes in a large sample of strains from Trypanosoma cruzi, the agent of Chagas’ disease. We discuss the results from an evolutionary perspective. A sample of 31 strains show 39 silent and five amino acid polymorphisms in DHFR-TS, and 35 silent and 11 amino acid polymorphisms in TR. No amino acid replacements occur in regions that are important for the enzymatic activity of these proteins, but some polymorphisms occur in sites previously assumed to be invariant. The sequences from both genes cluster in four major groups, a result that is not fully consistent with the current classification of T. cruzi in two major groups of strains. Most polymorphisms correspond to fixed differences among the four sequence groups. Two tests of neutrality show that there is no evidence of adaptivedivergence or of selectiveevents having shaped the distribution of polymorphisms and fixed differences in these genes in T. -
The Effects of Acute Nicotinamide Riboside Supplementation
THE EFFECTS OF ACUTE NICOTINAMIDE RIBOSIDE SUPPLEMENTATION ON SUBSTRATE UTILISATION AND 5KM TIME-TRIAL PERFORMANCE By ELIZABETH LOUISE GRAY A thesis submitted to The University of Birmingham for the degree of MASTERS BY RESEARCH School of Sport, Exercise and Rehabilitation Sciences College of Life and Environmental Studies University of Birmingham August 2018 University of Birmingham Research Archive e-theses repository This unpublished thesis/dissertation is copyright of the author and/or third parties. The intellectual property rights of the author or third parties in respect of this work are as defined by The Copyright Designs and Patents Act 1988 or as modified by any successor legislation. Any use made of information contained in this thesis/dissertation must be in accordance with that legislation and must be properly acknowledged. Further distribution or reproduction in any format is prohibited without the permission of the copyright holder. ABSTRACT Nicotinamide Riboside (NR) administration has been shown to increase fat oxidation and improve endurance performance in rodents, whilst recent research has proven it is safe for human consumption. The present study aimed to investigate the influence of acute NR supplementation on substrate utilisation and exercise performance in humans. In this counter-balanced, crossover design study, eleven recreationally-active males performed a 60-minute bout of cycling at 55% VO2max, followed by a 5km time-trial. Participants completed this twice during visits separated by at least one week, once following the consumption of 1000mg NR, and the other following placebo consumption. The contribution of fat oxidation to total substrate utilisation was not significantly different between the NR and placebo conditions during steady-state exercise (22.3±9.0% and 19.6±7.3%, respectively; p < 0.05). -
Identification and Analysis of Single-Nucleotide Polymorphisms in the Gemcitabine Pharmacologic Pathway
The Pharmacogenomics Journal (2004) 4, 307–314 & 2004 Nature Publishing Group All rights reserved 1470-269X/04 $30.00 www.nature.com/tpj ORIGINAL ARTICLE Identification and analysis of single-nucleotide polymorphisms in the gemcitabine pharmacologic pathway AK Fukunaga1 ABSTRACT 2 Significant variability in the antitumor efficacy and systemic toxicity of S Marsh gemcitabine has been observed in cancer patients. However, there are 1 DJ Murry currently no tools for prospective identification of patients at risk for TD Hurley3 untoward events. This study has identified and validated single-nucleotide HL McLeod2 polymorphisms (SNP) in genes involved in gemcitabine metabolism and transport. Database mining was conducted to identify SNPs in 14 genes 1Department of Clinical Pharmacy and Pharmacy involved in gemcitabine metabolism. Pyrosequencing was utilized to Practice, Purdue University, W. Lafayette, IN, determine the SNP allele frequencies in genomic DNA from European and 2 USA; Departments of Medicine, Genetics, and African populations (n ¼ 190). A total of 14 genetic variants (including 12 Molecular Biology and Pharmacology, Washington University School of Medicine and SNPs) were identified in eight of the gemcitabine metabolic pathway genes. the Siteman Cancer Center, St Louis, MO, USA; The majority of the database variants were observed in population samples. 3Department of Biochemistry and Molecular Nine of the 14 (64%) polymorphisms analyzed have allele frequencies that Biology, Indiana University School of Medicine, were found to be significantly different between the European and African Indianapolis, IN, USA populations (Po0.05). This study provides the first step to identify markers Correspondence: for predicting variability in gemcitabine response and toxicity. Dr HL McLeod, Washington University The Pharmacogenomics Journal (2004) 4, 307–314. -
Genome-Scale Fitness Profile of Caulobacter Crescentus Grown in Natural Freshwater
Supplemental Material Genome-scale fitness profile of Caulobacter crescentus grown in natural freshwater Kristy L. Hentchel, Leila M. Reyes Ruiz, Aretha Fiebig, Patrick D. Curtis, Maureen L. Coleman, Sean Crosson Tn5 and Tn-Himar: comparing gene essentiality and the effects of gene disruption on fitness across studies A previous analysis of a highly saturated Caulobacter Tn5 transposon library revealed a set of genes that are required for growth in complex PYE medium [1]; approximately 14% of genes in the genome were deemed essential. The total genome insertion coverage was lower in the Himar library described here than in the Tn5 dataset of Christen et al (2011), as Tn-Himar inserts specifically into TA dinucleotide sites (with 67% GC content, TA sites are relatively limited in the Caulobacter genome). Genes for which we failed to detect Tn-Himar insertions (Table S13) were largely consistent with essential genes reported by Christen et al [1], with exceptions likely due to differential coverage of Tn5 versus Tn-Himar mutagenesis and differences in metrics used to define essentiality. A comparison of the essential genes defined by Christen et al and by our Tn5-seq and Tn-Himar fitness studies is presented in Table S4. We have uncovered evidence for gene disruptions that both enhanced or reduced strain fitness in lake water and M2X relative to PYE. Such results are consistent for a number of genes across both the Tn5 and Tn-Himar datasets. Disruption of genes encoding three metabolic enzymes, a class C β-lactamase family protein (CCNA_00255), transaldolase (CCNA_03729), and methylcrotonyl-CoA carboxylase (CCNA_02250), enhanced Caulobacter fitness in Lake Michigan water relative to PYE using both Tn5 and Tn-Himar approaches (Table S7). -
B Number Gene Name Mrna Intensity Mrna Present # of Tryptic
list list sample) short list predicted B number Gene name assignment mRNA present mRNA intensity Gene description Protein detected - Membrane protein detected (total list) detected (long list) membrane sample Proteins detected - detected (short list) # of tryptic peptides # of tryptic peptides # of tryptic peptides # of tryptic peptides # of tryptic peptides Functional category detected (membrane Protein detected - total Protein detected - long b0003 thrB 6781 P 9 P 3 3 P 3 0 homoserine kinase Metabolism of small molecules b0004 thrC 15039 P 18 P 10 P 11 P 10 0 threonine synthase Metabolism of small molecules b0008 talB 20561 P 20 P 13 P 16 P 13 0 transaldolase B Metabolism of small molecules b0009 mog 1296 P 7 0 0 0 0 required for the efficient incorporation of molybdate into molybdoproteins Metabolism of small molecules b0014 dnaK 13283 P 32 P 23 P 24 P 23 0 chaperone Hsp70; DNA biosynthesis; autoregulated heat shock proteins Cell processes b0031 dapB 2348 P 16 P 3 3 P 3 0 dihydrodipicolinate reductase Metabolism of small molecules b0032 carA 9312 P 14 P 8 P 8 P 8 0 carbamoyl-phosphate synthetase, glutamine (small) subunit Metabolism of small molecules b0048 folA 1588 P 7 P 1 2 P 1 0 dihydrofolate reductase type I; trimethoprim resistance Metabolism of small molecules peptidyl-prolyl cis-trans isomerase (PPIase), involved in maturation of outer b0053 surA 3825 P 19 P 4 P 5 P 4 P(m) 1 GenProt membrane proteins (1st module) Cell processes b0054 imp 2737 P 42 P 5 0 0 P(m) 5 GenProt organic solvent tolerance Cell processes b0071 leuD 4770 -
TITLE PAGE Oxidative Stress and Response to Thymidylate Synthase
Downloaded from molpharm.aspetjournals.org at ASPET Journals on October 2, 2021 -Targeted -Targeted 1 , University of of , University SC K.W.B., South Columbia, (U.O., Carolina, This article has not been copyedited and formatted. The final version may differ from this version. This article has not been copyedited and formatted. The final version may differ from this version. This article has not been copyedited and formatted. The final version may differ from this version. This article has not been copyedited and formatted. The final version may differ from this version. This article has not been copyedited and formatted. The final version may differ from this version. This article has not been copyedited and formatted. The final version may differ from this version. This article has not been copyedited and formatted. The final version may differ from this version. This article has not been copyedited and formatted. The final version may differ from this version. This article has not been copyedited and formatted. The final version may differ from this version. This article has not been copyedited and formatted. The final version may differ from this version. This article has not been copyedited and formatted. The final version may differ from this version. This article has not been copyedited and formatted. The final version may differ from this version. This article has not been copyedited and formatted. The final version may differ from this version. This article has not been copyedited and formatted. The final version may differ from this version. This article has not been copyedited and formatted. -
Supplementary Table S4. FGA Co-Expressed Gene List in LUAD
Supplementary Table S4. FGA co-expressed gene list in LUAD tumors Symbol R Locus Description FGG 0.919 4q28 fibrinogen gamma chain FGL1 0.635 8p22 fibrinogen-like 1 SLC7A2 0.536 8p22 solute carrier family 7 (cationic amino acid transporter, y+ system), member 2 DUSP4 0.521 8p12-p11 dual specificity phosphatase 4 HAL 0.51 12q22-q24.1histidine ammonia-lyase PDE4D 0.499 5q12 phosphodiesterase 4D, cAMP-specific FURIN 0.497 15q26.1 furin (paired basic amino acid cleaving enzyme) CPS1 0.49 2q35 carbamoyl-phosphate synthase 1, mitochondrial TESC 0.478 12q24.22 tescalcin INHA 0.465 2q35 inhibin, alpha S100P 0.461 4p16 S100 calcium binding protein P VPS37A 0.447 8p22 vacuolar protein sorting 37 homolog A (S. cerevisiae) SLC16A14 0.447 2q36.3 solute carrier family 16, member 14 PPARGC1A 0.443 4p15.1 peroxisome proliferator-activated receptor gamma, coactivator 1 alpha SIK1 0.435 21q22.3 salt-inducible kinase 1 IRS2 0.434 13q34 insulin receptor substrate 2 RND1 0.433 12q12 Rho family GTPase 1 HGD 0.433 3q13.33 homogentisate 1,2-dioxygenase PTP4A1 0.432 6q12 protein tyrosine phosphatase type IVA, member 1 C8orf4 0.428 8p11.2 chromosome 8 open reading frame 4 DDC 0.427 7p12.2 dopa decarboxylase (aromatic L-amino acid decarboxylase) TACC2 0.427 10q26 transforming, acidic coiled-coil containing protein 2 MUC13 0.422 3q21.2 mucin 13, cell surface associated C5 0.412 9q33-q34 complement component 5 NR4A2 0.412 2q22-q23 nuclear receptor subfamily 4, group A, member 2 EYS 0.411 6q12 eyes shut homolog (Drosophila) GPX2 0.406 14q24.1 glutathione peroxidase -
Generate Metabolic Map Poster
Authors: Pallavi Subhraveti Ron Caspi Peter Midford Peter D Karp An online version of this diagram is available at BioCyc.org. Biosynthetic pathways are positioned in the left of the cytoplasm, degradative pathways on the right, and reactions not assigned to any pathway are in the far right of the cytoplasm. Transporters and membrane proteins are shown on the membrane. Ingrid Keseler Periplasmic (where appropriate) and extracellular reactions and proteins may also be shown. Pathways are colored according to their cellular function. Gcf_001591825Cyc: Bacillus vietnamensis NBRC 101237 Cellular Overview Connections between pathways are omitted for legibility. Anamika Kothari sn-glycerol phosphate phosphate pro phosphate phosphate phosphate thiamine molybdate D-xylose D-ribose glutathione 3-phosphate D-mannitol L-cystine L-djenkolate lanthionine α,β-trehalose phosphate phosphate [+ 3 more] α,α-trehalose predicted predicted ABC ABC FliY ThiT XylF RbsB RS10935 UgpC TreP PutP RS10200 PstB PstB RS10385 RS03335 RS20030 RS19075 transporter transporter of molybdate of phosphate α,β-trehalose 6-phosphate L-cystine D-xylose D-ribose sn-glycerol D-mannitol phosphate phosphate thiamine glutathione α α phosphate phosphate phosphate phosphate L-djenkolate 3-phosphate , -trehalose 6-phosphate pro 1-phosphate lanthionine molybdate phosphate [+ 3 more] Metabolic Regulator Amino Acid Degradation Amine and Polyamine Biosynthesis Macromolecule Modification tRNA-uridine 2-thiolation Degradation ATP biosynthesis a mature peptidoglycan a nascent β an N-terminal- -
Methotrexate Inhibits the First Committed Step of Purine
Biochem. J. (1999) 342, 143–152 (Printed in Great Britain) 143 Methotrexate inhibits the first committed step of purine biosynthesis in mitogen-stimulated human T-lymphocytes: a metabolic basis for efficacy in rheumatoid arthritis? Lynette D. FAIRBANKS*, Katarzyna RU$ CKEMANN*1, Ying QIU*2, Catherine M. HAWRYLOWICZ†, David F. RICHARDS†, Ramasamyiyer SWAMINATHAN‡, Bernhard KIRSCHBAUM§ and H. Anne SIMMONDS*3 *Purine Research Laboratory, 5th Floor Thomas Guy House, GKT Guy’s Hospital, London Bridge, London SE1 9RT, U.K., †Department of Respiratory Medicine and Allergy, 5th Floor Thomas Guy House, GKT Guy’s Hospital, London Bridge, London SE1 9RT, U.K., ‡Department of Chemical Pathology, GKT Guy’s Hospital, London Bridge, London SE1 9RT, U.K., and §DG Rheumatic/Autoimmune Diseases, Hoechst Marion Roussel, Deutschland GmbH, D-65926 Frankfurt am Main, Germany The immunosuppressive and anti-inflammatory effects of low- ribosyl-1-pyrophosphate (PP-ribose-P) as the molecular mech- dose methotrexate (MTX) have been related directly to inhibition anism underlying these disparate changes. These results provide of folate-dependent enzymes by polyglutamated derivatives, or the first substantive evidence that the immunosuppressive effects indirectly to adenosine release and\or apoptosis and clonal of low-dose MTX in primary blasting human T-lymphocytes deletion of activated peripheral blood lymphocytes in S-phase. In relate not to the inhibition of the two folate-dependent enzymes this study of phytohaemagglutinin-stimulated primary human T- of purine biosynthesis but to inhibition of the first enzyme, lymphocytes we show that MTX (20 nM to 20 µM) was cytostatic amidophosphoribosyltransferase, thereby elevating PP-ribose-P not cytotoxic, halting proliferation at G". -
The Microbiota-Produced N-Formyl Peptide Fmlf Promotes Obesity-Induced Glucose
Page 1 of 230 Diabetes Title: The microbiota-produced N-formyl peptide fMLF promotes obesity-induced glucose intolerance Joshua Wollam1, Matthew Riopel1, Yong-Jiang Xu1,2, Andrew M. F. Johnson1, Jachelle M. Ofrecio1, Wei Ying1, Dalila El Ouarrat1, Luisa S. Chan3, Andrew W. Han3, Nadir A. Mahmood3, Caitlin N. Ryan3, Yun Sok Lee1, Jeramie D. Watrous1,2, Mahendra D. Chordia4, Dongfeng Pan4, Mohit Jain1,2, Jerrold M. Olefsky1 * Affiliations: 1 Division of Endocrinology & Metabolism, Department of Medicine, University of California, San Diego, La Jolla, California, USA. 2 Department of Pharmacology, University of California, San Diego, La Jolla, California, USA. 3 Second Genome, Inc., South San Francisco, California, USA. 4 Department of Radiology and Medical Imaging, University of Virginia, Charlottesville, VA, USA. * Correspondence to: 858-534-2230, [email protected] Word Count: 4749 Figures: 6 Supplemental Figures: 11 Supplemental Tables: 5 1 Diabetes Publish Ahead of Print, published online April 22, 2019 Diabetes Page 2 of 230 ABSTRACT The composition of the gastrointestinal (GI) microbiota and associated metabolites changes dramatically with diet and the development of obesity. Although many correlations have been described, specific mechanistic links between these changes and glucose homeostasis remain to be defined. Here we show that blood and intestinal levels of the microbiota-produced N-formyl peptide, formyl-methionyl-leucyl-phenylalanine (fMLF), are elevated in high fat diet (HFD)- induced obese mice. Genetic or pharmacological inhibition of the N-formyl peptide receptor Fpr1 leads to increased insulin levels and improved glucose tolerance, dependent upon glucagon- like peptide-1 (GLP-1). Obese Fpr1-knockout (Fpr1-KO) mice also display an altered microbiome, exemplifying the dynamic relationship between host metabolism and microbiota. -
DHFR Inhibitors: Reading the Past for Discovering Novel Anticancer Agents
molecules Review DHFR Inhibitors: Reading the Past for Discovering Novel Anticancer Agents Maria Valeria Raimondi 1,*,† , Ornella Randazzo 1,†, Mery La Franca 1 , Giampaolo Barone 1 , Elisa Vignoni 2, Daniela Rossi 2 and Simona Collina 2,* 1 Department of Biological, Chemical and Pharmaceutical Sciences and Technologies (STEBICEF), University of Palermo, via Archirafi 32, 90123 Palermo, Italy; [email protected] (O.R.); [email protected] (M.L.F.); [email protected] (G.B.) 2 Drug Sciences Department, Medicinal Chemistry and Pharmaceutical Technology Section, University of Pavia, via Taramelli 12, 27100 Pavia, Italy; [email protected] (E.V.); [email protected] (D.R.) * Correspondence: [email protected] (M.V.R.); [email protected] (S.C.); Tel.: +390-912-389-1915 (M.V.R.); +390-382-987-379 (S.C.) † These Authors contributed equally to this work. Academic Editors: Simona Collina and Mariarosaria Miloso Received: 25 February 2019; Accepted: 20 March 2019; Published: 22 March 2019 Abstract: Dihydrofolate reductase inhibitors are an important class of drugs, as evidenced by their use as antibacterial, antimalarial, antifungal, and anticancer agents. Progress in understanding the biochemical basis of mechanisms responsible for enzyme selectivity and antiproliferative effects has renewed the interest in antifolates for cancer chemotherapy and prompted the medicinal chemistry community to develop novel and selective human DHFR inhibitors, thus leading to a new generation of DHFR inhibitors. This work summarizes the mechanism of action, chemical, and anticancer profile of the DHFR inhibitors discovered in the last six years. New strategies in DHFR drug discovery are also provided, in order to thoroughly delineate the current landscape for medicinal chemists interested in furthering this study in the anticancer field. -
1611 REGULATION of PYRIMIDINE METABOLISM in PLANTS Chris
[Frontiers in Bioscience 9, 1611-1625, May 1, 2004] REGULATION OF PYRIMIDINE METABOLISM IN PLANTS 1, 2 1, 3 1, 4 1, 5 1, 6 1, 7 Chris Kafer , Lan Zhou , Djoko Santoso , Adel Guirgis , Brock Weers , Sanggyu Park and Robert Thornburg 1 1 Department of Biochemistry, Biophysics, and Molecular Biology, Iowa State University, Ames, Iowa 50011, 2 BASF Plant Science LLC, 2901 South Loop Drive, Ste 3800, Ames, Iowa 50014, 3 Lan Zhou, Pioneer Hi-Bred International, Inc. 7300 NW 62nd Avenue, PO Box 1004, Johnston, Iowa 50131-1004, 4 Indonesian Biotechnology Research Institute for Estate Crops, Jl, Taman Kencana No 1, Bogor 16151 Indonesia, 5 Institute of Genetic Engineering and Biotechnology, Menofiya University, PO Box 79/22857, Sadat City, Egypt, 6 Department of Biochemistry, University of Iowa, 4/511 Bowen Science Building, Iowa City, Iowa 52242-1109, 7 Division of Life and Environment, College of Natural Resources, Daegu University, Gyongsan City, Gyongbuk, Korea 712-714 TABLE OF CONTENTS 1. Abstract 2. Introduction 3. Pyrimidine metabolic pathways 3.1. De novo pyrimidine biosynthesis 3.1.1. CPSase 3.1.2. ATCase 3.1.3. DHOase 3.1.4. DHODH 3.1.5. UMPS 3.1.6. Intracellular Organization of the de novo Pathway 3.2. Pyrimidine Salvage and Recycling 3.2.1. Cytosine deaminase 3.2.2. Cytidine deaminase 3.2.3. UPRTase 3.3. Pyrimidine Modification 3.3.1. UMP/CMP kinase 3.3.2. NDP kinase 3.3.3. CTP synthase, NDP reductase, dUTPase 3.3.4. Thymidylate synthase/Dihydrofolate reductase 3.4. Pyrimidine Catabolism 4. Regulation of pyrimidine metabolism 4.1.