Multiple Drug Resistance: a Fast-Growing Threat
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Mechanisms and Strategies to Overcome Multiple Drug Resistance in Cancer
View metadata, citation and similar papers at core.ac.uk brought to you by CORE provided by Elsevier - Publisher Connector FEBS Letters 580 (2006) 2903–2909 Minireview Mechanisms and strategies to overcome multiple drug resistance in cancer Tomris Ozben* Akdeniz University, Faculty of Medicine, Department of Biochemistry, 07070 Antalya, Turkey Received 30 January 2006; accepted 9 February 2006 Available online 17 February 2006 Edited by Horst Feldmann The cytotoxic drugs that are most frequently associated with Abstract One of the major problems in chemotherapy is multi- drug resistance (MDR) against anticancer drugs. ATP-binding MDR are hydrophobic, amphipathic natural products, such as cassette (ABC) transporters are a family of proteins that medi- the taxanes (paclitaxel and docetaxel), vinca alkaloids (vinorel- ate MDR via ATP-dependent drug efflux pumps. Many MDR bine, vincristine, and vinblastine), anthracyclines (doxorubicin, inhibitors have been identified, but none of them have been pro- daunorubicin, and epirubicin), epipodophyllotoxins (etoposide ven clinically useful without side effects. Efforts continue to dis- and teniposide), antimetabolites (methorexate, fluorouracil, cover not toxic MDR inhibitors which lack pharmacokinetic cytosar, 5-azacytosine, 6-mercaptopurine, and gemcitabine) interactions with anticancer drugs. Novel approaches have also topotecan, dactinomycin, and mitomycin C [4,6–8]. been designed to inhibit or circumvent MDR. In this review, Overexpression of ATP-binding cassette (ABC) transporters the structure and function of ABC transporters and development has been shown to be responsible for MDR [5]. Therefore eluci- of MDR inhibitors are described briefly including various ap- dation of the structure and function for each ABC transporter is proaches to suppress MDR mechanisms. -
Expression of Cytokeratin Confers Multiple Drug Resistance (Multidrug Resance/Cytoskeleton) PATRICIA A
Proc. Nati. Acad. Sci. USA Vol. 91, pp. 5311-5314, June 1994 Pharmacology Expression of cytokeratin confers multiple drug resistance (multidrug resance/cytoskeleton) PATRICIA A. BAUMAN*, WILLIAM S. DALTON*t, JOHN M. ANDERSONt, AND ANNE E. CRESSO§ Departments of *Pharmacology and Toxicology, tMedicine, and *Radiation Oncology, The University of Arizona, The Arizona Cancer Center, Tucson, AZ 85724 Communicated by Gertrude B. Elion, February 23, 1994 (received for review October 21, 1993) ABSTRACT The cytokeratin network is an extensive fda- We utilized a mouse fibroblast cell line and a transfected mentous structure in the cytoplasm whose biological function(s) variant expressing cytokeratins 8 and 18 (9) to test whether is unknown. Based upon previous data showing the modifica- cytokeratin expression could alter the cell survival response tion ofcytokeratin by mitoxantrone, we investigated the ability to six different chemotherapeutic drugs. of cytokeratin networks to influence the survival response of cells to chemotherapeutic agents. We have compared the MATERIALS AND METHODS survival of mouse L fibroblasts lacking cytokeratins with that of L cells transfected with cytokeratins 8 and 18 in the presence Tumor Cell Lines, Growth Curves, and Cell Cycle Distri- of chemotherapeutic drugs. The expression of cytokeratins 8 butions. Parental L cells and transfected LK8+18 cells were and 18 conferred a multiple drug resistance phenotype on cells obtained from Robert Oshima (La Jolla Cancer Research exposed to mitoxantrone, doxorubicin, methotrexate, melpha- Foundation, La Jolla, CA) and maintained as described (9). Ian, Colcemid, and vincristine. The degree of drug resistance Mock transfectants (LPBMOC) were created by simultane- was 5-454 times that of parental cells, depending upon the ous calcium phosphate transfection of pGEM-3 (Promega) agent used. -
Antibiotic Resistance: from the Bench to Patients
antibiotics Editorial Antibiotic Resistance: From the Bench to Patients Márió Gajdács 1,* and Fernando Albericio 2,3 1 Department of Pharmacodynamics and Biopharmacy, Faculty of Pharmacy, University of Szeged, Dóm tér 10., 6720 Szeged, Hungary 2 School of Chemistry, University of KwaZulu-Natal, Durban 4001, South Africa 3 Department of Organic Chemistry, University of Barcelona, CIBER-BBN, 08028 Barcelona, Spain * Correspondence: [email protected]; Tel.: +36-62-341-330 Received: 20 August 2019; Accepted: 26 August 2019; Published: 27 August 2019 The discovery and subsequent clinical introduction of antibiotics is one of the most important game-changers in the history of medicine [1]. These drugs have saved millions of lives from infections that would previously have been fatal, and later, they allowed for the introduction of surgical interventions, organ transplantation, care of premature infants, and cancer chemotherapy [2]. Nevertheless, the therapy of bacterial infections is becoming less and less straightforward due to the emergence of multidrug resistance (MDR) in these pathogens [3]. Direct consequences of antibiotic resistance include delays in the onset of the appropriate (effective) antimicrobial therapy, the need to use older, more toxic antibiotics (e.g., colistin) with a disadvantageous side-effect profile, longer hospital stays, and an increasing burden on the healthcare infrastructure; overall, a decrease in the quality-of-life (QoL) and an increase in the mortality rate of the affected patients [4,5]. To highlight the severity of the issue, several international declarations have been published to call governments around the globe to take action on antimicrobial resistance [6–9]. Since the 1980s, pharmaceutical companies have slowly turned away from antimicrobial research and towards the drug therapy of chronic non-communicable diseases [10,11]. -
Clinical Pharmacology 1: Phase 1 Studies and Early Drug Development
Clinical Pharmacology 1: Phase 1 Studies and Early Drug Development Gerlie Gieser, Ph.D. Office of Clinical Pharmacology, Div. IV Objectives • Outline the Phase 1 studies conducted to characterize the Clinical Pharmacology of a drug; describe important design elements of and the information gained from these studies. • List the Clinical Pharmacology characteristics of an Ideal Drug • Describe how the Clinical Pharmacology information from Phase 1 can help design Phase 2/3 trials • Discuss the timing of Clinical Pharmacology studies during drug development, and provide examples of how the information generated could impact the overall clinical development plan and product labeling. Phase 1 of Drug Development CLINICAL DEVELOPMENT RESEARCH PRE POST AND CLINICAL APPROVAL 1 DISCOVERY DEVELOPMENT 2 3 PHASE e e e s s s a a a h h h P P P Clinical Pharmacology Studies Initial IND (first in human) NDA/BLA SUBMISSION Phase 1 – studies designed mainly to investigate the safety/tolerability (if possible, identify MTD), pharmacokinetics and pharmacodynamics of an investigational drug in humans Clinical Pharmacology • Study of the Pharmacokinetics (PK) and Pharmacodynamics (PD) of the drug in humans – PK: what the body does to the drug (Absorption, Distribution, Metabolism, Excretion) – PD: what the drug does to the body • PK and PD profiles of the drug are influenced by physicochemical properties of the drug, product/formulation, administration route, patient’s intrinsic and extrinsic factors (e.g., organ dysfunction, diseases, concomitant medications, -
DESCRIPTION CLINICAL PHARMACOLOGY Mechanism Of
NDA 20-844/ Topamav Sprinkle Capsules Approved Labeling Text Version: 10/26/98 DESCRIPTION Topiramate is a sulfamate-substituted monosaccharide that is intended for use as an antiepileptic drug. TOPAMAX@ (topiramate capsules) Sprinkle Capsules are available as I5 mg, 25 mg and 50mg sprinkle capsules for oral administration as whole capsules or for opening and sprinkling onto soft food. Topiramate is a white crystalline powder with a bitter taste. Topiramate is most soluble in alkaline solutions containing sodium hydroxide or sodium phosphate and hawng a pH of 9 to IO. It is freely soluble in acetone, chloroform, dimethylsulfoxide, and ethanol. The solubility in water is 9.8 mg/mL. Its saturated solution has a pH of 6.3. Topiramate has the molecular formula C,,H,,NO,S and a molecular weight of 339.37. Topiramate is designated chemically as 2,3:4,5-Di-O-isopropylidene-~- D-fructopyranose sulfamate and has the following structural formula: H3C CH3 TOPAMAX” (topiramate capsules) Sprinkle Capsules contain topiramate coated beads in a hard gelatin capsule. The inactive ingredients are: sugar spheres (sucrose and starch), povidone, cellulose acetate, gelatin, silicone dioxide, sodium lauryl sulfate, titanium dioxide, and black pharmaceutical ink. CLINICAL PHARMACOLOGY Mechanism of Action: The precise mechanism by which topiramate exerts its antiseizure effect is unknown; however, electrophysiological and biochemical studies of the effects of topiramate on cultured neurons have revealed three properties that may contribute to topiramate’s antiepileptic efficacy. First, action potentials elicited repetitively by a sustained depolarization of the neurons are blocked by topiramate in a time-dependent manner, suggestive of a state-dependent sodium channel blocking action. -
Moving Beyond Single Gene-Drug Pairs in Clinical Pharmacogenomics Testing
Moving Beyond Single Gene-Drug Pairs in Clinical Pharmacogenomics Testing Yuan Ji, PhD, DABCP, FACMG Gwendolyn McMillin, PhD, DABCC Learning Objectives • Describe the strengths and limitations of pharmacogenomic testing. • List examples of single gene-drug associations with the strongest levels of evidence for clinical implementation. • Discuss cautions when considering the use of multi-gene drug associations to inform drug therapy decisions. 2 Disclosure • None 3 Outline • Singe gene-drug based pharmacogenomics (PGx) testing – An introduction – Evidence and examples – Considerations for developing and evaluating clinical PGx laboratory developed tests (LDTs) • Multi-gene PGx panels – Evidence and examples – PROs and CONs for utilizing PGx panels – Considerations for successful PGx implementation 4 Single Gene-Drug Based PGx Testing Yuan Ji, PhD, DABCP, FACMG Medical Director of Genomics and Genetics; PGx, ARUP Laboratories Associate Professor (Clinical) of Pathology, University of Utah Medications: Myths and Facts • are~30% peoplenot take“one at least-size one medication fits all” within a 30-day period • Most medications cause adverse drug events (ADEs) • Some medications like antibiotics may do more harm than good • CDC statistics: – ~ 200,000 ADEs-related ER visits in pediatric population (17 years or younger) – ~ 450,000 ADEs-related ER visits in older adults (65 years or older) – Medications, e.g., anticoagulant warfarin • Many ADEs are preventable by closely supervising of dosing, blood tests (therapeutic drug monitoring, TDM), -
Pharmacogenetic Testing: a Tool for Personalized Drug Therapy Optimization
pharmaceutics Review Pharmacogenetic Testing: A Tool for Personalized Drug Therapy Optimization Kristina A. Malsagova 1,* , Tatyana V. Butkova 1 , Arthur T. Kopylov 1 , Alexander A. Izotov 1, Natalia V. Potoldykova 2, Dmitry V. Enikeev 2, Vagarshak Grigoryan 2, Alexander Tarasov 3, Alexander A. Stepanov 1 and Anna L. Kaysheva 1 1 Biobanking Group, Branch of Institute of Biomedical Chemistry “Scientific and Education Center”, 109028 Moscow, Russia; [email protected] (T.V.B.); [email protected] (A.T.K.); [email protected] (A.A.I.); [email protected] (A.A.S.); [email protected] (A.L.K.) 2 Institute of Urology and Reproductive Health, Sechenov University, 119992 Moscow, Russia; [email protected] (N.V.P.); [email protected] (D.V.E.); [email protected] (V.G.) 3 Institute of Linguistics and Intercultural Communication, Sechenov University, 119992 Moscow, Russia; [email protected] * Correspondence: [email protected]; Tel.: +7-499-764-9878 Received: 2 November 2020; Accepted: 17 December 2020; Published: 19 December 2020 Abstract: Pharmacogenomics is a study of how the genome background is associated with drug resistance and how therapy strategy can be modified for a certain person to achieve benefit. The pharmacogenomics (PGx) testing becomes of great opportunity for physicians to make the proper decision regarding each non-trivial patient that does not respond to therapy. Although pharmacogenomics has become of growing interest to the healthcare market during the past five to ten years the exact mechanisms linking the genetic polymorphisms and observable responses to drug therapy are not always clear. Therefore, the success of PGx testing depends on the physician’s ability to understand the obtained results in a standardized way for each particular patient. -
Association of Genetic and Nongenetic Variabilities With
ASSOCIATION OF GENETIC AND NONGENETIC VARIABILITIES WITH PHENYTOIN AND CARBAMAZEPINE RESPONSE PHENOTYPES A DISSERTATION SUBMITTED TO THE FACULTY OF THE GRADUATE SCHOOL OF THE UNIVERSITY OF MINNESOTA BY PORNPIMOL KIJSANAYOTIN IN PARTIAL FULFILLMENT OF THE REQUIREMENTS FOR THE DEGREE OF DOCTOR OF PHILOSOPHY RICHARD BRUNDAGE ADVISOR APRIL, 2012 © Pornpimol Kisanayotin 2012 Acknowledgements It has been a long time since I decided to pursue the PhD study in the US after receiving a scholarship from the Royal Thai Government. Without the following people I could not be able to follow my dream to successfully conduct this pharmacogenetic study for my PhD dissertation. First, I would like to express my deep gratitude to Prof. James C Cloyd and Prof. Ilo E Leppik for not only giving me the opportunity to carry out this research work by using data sets from the P50 program projects but also all their academic and financial support. I also would like to express my special gratitude to Prof. Richard Brundage, my advisor, for his kindness, academic advice as well as all his support and encouragement. I express my gratitude to Prof. William S Oetting, my co-advisor for his academic advice and encouraging words. I also express my gratitude to Prof. Richard King for allowing me to use his laboratory, facilities and providing technical support for genotyping work. I would like to thank Dr. Angela K Burnbaum and all the staff at the Epilepsy Reseach and Education Program, University of Minnesota for all their assistance in research. I would like to thank Dr. Elving Anderson for his kindness and academic advice. -
Antibiotic Resistance in Plant-Pathogenic Bacteria
PY56CH08-Sundin ARI 23 May 2018 12:16 Annual Review of Phytopathology Antibiotic Resistance in Plant-Pathogenic Bacteria George W. Sundin1 and Nian Wang2 1Department of Plant, Soil, and Microbial Sciences, Michigan State University, East Lansing, Michigan 48824, USA; email: [email protected] 2Citrus Research and Education Center, Department of Microbiology and Cell Science, Institute of Food and Agricultural Sciences, University of Florida, Lake Alfred, Florida 33850, USA Annu. Rev. Phytopathol. 2018. 56:8.1–8.20 Keywords The Annual Review of Phytopathology is online at kasugamycin, oxytetracycline, streptomycin, resistome phyto.annualreviews.org https://doi.org/10.1146/annurev-phyto-080417- Abstract 045946 Antibiotics have been used for the management of relatively few bacterial Copyright c 2018 by Annual Reviews. plant diseases and are largely restricted to high-value fruit crops because of Access provided by INSEAD on 06/01/18. For personal use only. All rights reserved the expense involved. Antibiotic resistance in plant-pathogenic bacteria has Annu. Rev. Phytopathol. 2018.56. Downloaded from www.annualreviews.org become a problem in pathosystems where these antibiotics have been used for many years. Where the genetic basis for resistance has been examined, antibiotic resistance in plant pathogens has most often evolved through the acquisition of a resistance determinant via horizontal gene transfer. For ex- ample, the strAB streptomycin-resistance genes occur in Erwinia amylovora, Pseudomonas syringae,andXanthomonas campestris, and these genes have pre- sumably been acquired from nonpathogenic epiphytic bacteria colocated on plant hosts under antibiotic selection. We currently lack knowledge of the effect of the microbiome of commensal organisms on the potential of plant pathogens to evolve antibiotic resistance. -
Immediately Dangerous to Life Or Health (IDLH) Value Profile: Butane
Butane CAS® No. 106-97-8 DEPARTMENT OF HEALTH AND HUMAN SERVICES Center for Disease Control and Prevention National Institute of Occupational Safety and Health This page intentionally left blank. Immediately Dangerous to Life or Health (IDLH) Value Profile Butane [CAS® No. 106-97-8] H3C CH3 DEPARTMENT OF HEALTH AND HUMAN SERVICES Centers for Disease Control and Prevention National Institute for Occupational Safety and Health This document is in the public domain and may be freely copied or reprinted. Disclaimer Mention of any company or product does not constitute endorsement by the National Institute for Occupational Safety and Health (NIOSH). In addition, citations to websites external to NIOSH do not constitute NIOSH endorsement of the sponsoring organizations or their programs or products. Furthermore, NIOSH is not responsible for the content of these websites. Ordering Information To receive this document or information about other occupational safety and health topics, contact NIOSH: Telephone: 1-800-CDC-INFO (1-800-232-4636) TTY: 1-888-232-6348 E-mail: [email protected] or visit the NIOSH ebsite at: www.cdc.gov/niosh For a monthly update on news at NIOSH, subscribe to NIOSH eNews by visiting www.cdc.gov/niosh/eNews. Suggested Citation NIOSH [2016]. Immediately dangerous to life or health (IDLH) value profile: butane. By Dotson GS, Maier A, Parker A, Haber L. Cincinnati, OH: US Department of Health and Human Services, Centers for Disease Control and Prevention, National Institute for Occupa- tional Safety and Health, DHHS (NIOSH) Publication 2016-174. DHHS (NIOSH) Publication No. 2016-174 September 2016 ii IDLH Value Profile for Butane Foreword Chemicals are a ubiquitous component of the modern workplace. -
Socioeconomic Factors Associated with Antimicrobial Resistance Of
01 Pan American Journal Original research of Public Health 02 03 04 05 06 Socioeconomic factors associated with antimicrobial 07 08 resistance of Pseudomonas aeruginosa, 09 10 Staphylococcus aureus, and Escherichia coli in Chilean 11 12 hospitals (2008–2017) 13 14 15 Kasim Allel,1 Patricia García,2 Jaime Labarca,3 José M. Munita,4 Magdalena Rendic,5 Grupo 16 6 5 17 Colaborativo de Resistencia Bacteriana, and Eduardo A. Undurraga 18 19 20 21 Suggested citation Allel K, García P, Labarca J, Munita JM, Rendic M; Grupo Colaborativo de Resistencia Bacteriana; et al. Socioeconomic fac- 22 tors associated with antimicrobial resistance of Pseudomonas aeruginosa, Staphylococcus aureus, and Escherichia coli in 23 Chilean hospitals (2008–2017). Rev Panam Salud Publica. 2020;44:e30. https://doi.org/10.26633/RPSP.2020.30 24 25 26 27 ABSTRACT Objective. To identify socioeconomic factors associated with antimicrobial resistance of Pseudomonas aeru- 28 ginosa, Staphylococcus aureus, and Escherichia coli in Chilean hospitals (2008–2017). 29 Methods. We reviewed the scientific literature on socioeconomic factors associated with the emergence and 30 dissemination of antimicrobial resistance. Using multivariate regression, we tested findings from the literature drawing from a longitudinal dataset on antimicrobial resistance from 41 major private and public hospitals and 31 a nationally representative household survey in Chile (2008–2017). We estimated resistance rates for three pri- 32 ority antibiotic–bacterium pairs, as defined by the Organisation for Economic Co-operation and Development; 33 i.e., imipenem and meropenem resistant P. aeruginosa, cloxacillin resistant S. aureus, and cefotaxime and 34 ciprofloxacin resistant E. coli. 35 Results. -
Pharmacogenomics to Predict Tumor Therapy Response: a Focus on ATP-Binding Cassette Transporters and Cytochromes P450
Journal of Personalized Medicine Review Pharmacogenomics to Predict Tumor Therapy Response: A Focus on ATP-Binding Cassette Transporters and Cytochromes P450 Viktor Hlaváˇc 1,2,* , Petr Holý 1,2,3 and Pavel Souˇcek 1,2 1 Toxicogenomics Unit, National Institute of Public Health, 100 00 Prague, Czech Republic; [email protected] (P.H.); [email protected] (P.S.) 2 Laboratory of Pharmacogenomics, Biomedical Center, Faculty of Medicine in Pilsen, Charles University, 306 05 Pilsen, Czech Republic 3 Third Faculty of Medicine, Charles University, 100 00 Prague, Czech Republic * Correspondence: [email protected]; Tel.: +420-267082681; Fax: +420-267311236 Received: 31 July 2020; Accepted: 26 August 2020; Published: 28 August 2020 Abstract: Pharmacogenomics is an evolving tool of precision medicine. Recently,due to the introduction of next-generation sequencing and projects generating “Big Data”, a plethora of new genetic variants in pharmacogenes have been discovered. Cancer resistance is a major complication often preventing successful anticancer treatments. Pharmacogenomics of both somatic mutations in tumor cells and germline variants may help optimize targeted treatments and improve the response to conventional oncological therapy. In addition, integrative approaches combining copy number variations and long noncoding RNA profiling with germline and somatic variations seem to be a promising approach as well. In pharmacology, expression and enzyme activity are traditionally the more studied aspects of ATP-binding cassette transporters and cytochromes P450. In this review, we briefly introduce the field of pharmacogenomics and the advancements driven by next-generation sequencing and outline the possible roles of genetic variation in the two large pharmacogene superfamilies.