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The Somatic Mutation Landscape of UDP-Glycosyltransferase ( UGT) Genes in Human Cancers. Cancers (Basel) 2022; 14:cancers14225708. [PMID: 36428799 PMCID: PMC9688768 DOI: 10.3390/cancers14225708] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2022] [Revised: 11/16/2022] [Accepted: 11/18/2022] [Indexed: 11/23/2022] Open
Abstract
The human UDP-glycosyltransferase (UGTs) superfamily has a critical role in the metabolism of anticancer drugs and numerous pro/anti-cancer molecules (e.g., steroids, lipids, fatty acids, bile acids and carcinogens). Recent studies have shown wide and abundant expression of UGT genes in human cancers. However, the extent to which UGT genes acquire somatic mutations within tumors remains to be systematically investigated. In the present study, our comprehensive analysis of the somatic mutation profiles of 10,069 tumors from 33 different TCGA cancer types identified 3427 somatic mutations in UGT genes. Overall, nearly 18% (1802/10,069) of the assessed tumors had mutations in UGT genes with huge variations in mutation frequency across different cancer types, ranging from over 25% in five cancers (COAD, LUAD, LUSC, SKCM and UCSC) to less than 5% in eight cancers (LAML, MESO, PCPG, PAAD, PRAD, TGCT, THYM and UVM). All 22 UGT genes showed somatic mutations in tumors, with UGT2B4, UGT3A1 and UGT3A2 showing the largest number of mutations (289, 307 and 255 mutations, respectively). Nearly 65% (2260/3427) of the mutations were missense, frame-shift and nonsense mutations that have been predicted to code for variant UGT proteins. Furthermore, about 10% (362/3427) of the mutations occurred in non-coding regions (5' UTR, 3' UTR and splice sites) that may be able to alter the efficiency of translation initiation, miRNA regulation or the splicing of UGT transcripts. In conclusion, our data show widespread somatic mutations of UGT genes in human cancers that may affect the capacity of cancer cells to metabolize anticancer drugs and endobiotics that control pro/anti-cancer signaling pathways. This highlights their potential utility as biomarkers for predicting therapeutic efficacy and clinical outcomes.
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Challa AP, Hu X, Zhang YQ, Hymes J, Wallace BD, Karavadhi S, Sun H, Patnaik S, Hall MD, Shen M. Virtual Screening for the Discovery of Microbiome β-Glucuronidase Inhibitors to Alleviate Cancer Drug Toxicity. J Chem Inf Model 2022; 62:1783-1793. [PMID: 35357819 PMCID: PMC9853918 DOI: 10.1021/acs.jcim.1c01414] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/25/2023]
Abstract
Despite the potency of most first-line anti-cancer drugs, nonadherence to these drug regimens remains high and is attributable to the prevalence of "off-target" drug effects that result in serious adverse events (SAEs) like hair loss, nausea, vomiting, and diarrhea. Some anti-cancer drugs are converted by liver uridine 5'-diphospho-glucuronosyltransferases through homeostatic host metabolism to form drug-glucuronide conjugates. These sugar-conjugated metabolites are generally inactive and can be safely excreted via the biliary system into the gastrointestinal tract. However, β-glucuronidase (βGUS) enzymes expressed by commensal gut bacteria can remove the glucuronic acid moiety, producing the reactivated drug and triggering dose-limiting side effects. Small-molecule βGUS inhibitors may reduce this drug-induced gut toxicity, allowing patients to complete their full course of treatment. Herein, we report the discovery of novel chemical series of βGUS inhibitors by structure-based virtual high-throughput screening (vHTS). We developed homology models for βGUS and applied them to large-scale vHTS against nearly 400,000 compounds within the chemical libraries of the National Center for Advancing Translational Sciences at the National Institutes of Health. From the vHTS results, we cherry-picked 291 compounds via a multifactor prioritization procedure, providing 69 diverse compounds that exhibited positive inhibitory activity in a follow-up βGUS biochemical assay in vitro. Our findings correspond to a hit rate of 24% and could inform the successful downstream development of a therapeutic adjunct that targets the human microbiome to prevent SAEs associated with first-line, standard-of-care anti-cancer drugs.
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Affiliation(s)
- Anup P. Challa
- Department of Chemical and Biomolecular Engineering, Vanderbilt University, Nashville, TN, USA 37212
- Vanderbilt Institute for Clinical and Translational Research, Vanderbilt University Medical Center, Nashville, TN, USA 37203
- National Center for Advancing Translational Sciences, National Institutes of Health, Rockville, MD, USA 20850
| | - Xin Hu
- National Center for Advancing Translational Sciences, National Institutes of Health, Rockville, MD, USA 20850
| | - Ya-Qin Zhang
- National Center for Advancing Translational Sciences, National Institutes of Health, Rockville, MD, USA 20850
| | - Jeffrey Hymes
- Symberix, Inc., 4819 Emperor Blvd., Suite 400, Durham, NC, USA 27703
| | - Bret D. Wallace
- Symberix, Inc., 4819 Emperor Blvd., Suite 400, Durham, NC, USA 27703
| | - Surendra Karavadhi
- National Center for Advancing Translational Sciences, National Institutes of Health, Rockville, MD, USA 20850
| | - Hongmao Sun
- National Center for Advancing Translational Sciences, National Institutes of Health, Rockville, MD, USA 20850
| | - Samarjit Patnaik
- National Center for Advancing Translational Sciences, National Institutes of Health, Rockville, MD, USA 20850
| | - Matthew D. Hall
- National Center for Advancing Translational Sciences, National Institutes of Health, Rockville, MD, USA 20850
| | - Min Shen
- National Center for Advancing Translational Sciences, National Institutes of Health, Rockville, MD, USA 20850
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Hu DG, Marri S, Mackenzie PI, Hulin JA, McKinnon RA, Meech R. The Expression Profiles and Deregulation of UDP-Glycosyltransferase ( UGT) Genes in Human Cancers and Their Association with Clinical Outcomes. Cancers (Basel) 2021; 13:4491. [PMID: 34503303 PMCID: PMC8430925 DOI: 10.3390/cancers13174491] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2021] [Revised: 08/25/2021] [Accepted: 09/02/2021] [Indexed: 12/17/2022] Open
Abstract
The human UDP-glycosyltransferase (UGTs) superfamily has 22 functional enzymes that play a critical role in the metabolism of small lipophilic compounds, including carcinogens, drugs, steroids, lipids, fatty acids, and bile acids. The expression profiles of UGT genes in human cancers and their impact on cancer patient survival remains to be systematically investigated. In the present study, a comprehensive analysis of the RNAseq and clinical datasets of 9514 patients from 33 different TCGA (the Genome Cancer Atlas) cancers demonstrated cancer-specific UGT expression profiles with high interindividual variability among and within individual cancers. Notably, cancers derived from drug metabolizing tissues (liver, kidney, gut, pancreas) expressed the largest number of UGT genes (COAD, KIRC, KIRP, LIHC, PAAD); six UGT genes (1A6, 1A9, 1A10, 2A3, 2B7, UGT8) showed high expression in five or more different cancers. Kaplan-Meier plots and logrank tests revealed that six UGT genes were significantly associated with increased overall survival (OS) rates [UGT1A1 (LUSC), UGT1A6 (ACC), UGT1A7 (ACC), UGT2A3 (KIRC), UGT2B15 (BLCA, SKCM)] or decreased OS rates [UGT2B15 (LGG), UGT8 (UVM)] in specific cancers. Finally, differential expression analysis of 611 patients from 12 TCGA cancers identified 16 UGT genes (1A1, 1A3, 1A6, 1A7, 1A8, 1A9, 1A10, 2A1, 2A3, 2B4, 2B7, 2B11, 2B15, 3A1, 3A2, UGT8) that were up/downregulated in at least one cancer relative to normal tissues. In conclusion, our data show widespread expression of UGT genes in cancers, highlighting the capacity for intratumoural drug metabolism through the UGT conjugation pathway. The data also suggests the potentials for specific UGT genes to serve as prognostic biomarkers or therapeutic targets in cancers.
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Affiliation(s)
- Dong Gui Hu
- Dicipline of Clinical Pharmacology, College of Medicine and Public Health, Flinders University, Bedford Park, SA 5042, Australia; (P.I.M.); (J.-A.H.); (R.A.M.); (R.M.)
| | - Shashikanth Marri
- Dicipline of Molecular Medicine and Pathology, College of Medicine and Public Health, Flinders University, Bedford Park, SA 5042, Australia;
| | - Peter I. Mackenzie
- Dicipline of Clinical Pharmacology, College of Medicine and Public Health, Flinders University, Bedford Park, SA 5042, Australia; (P.I.M.); (J.-A.H.); (R.A.M.); (R.M.)
| | - Julie-Ann Hulin
- Dicipline of Clinical Pharmacology, College of Medicine and Public Health, Flinders University, Bedford Park, SA 5042, Australia; (P.I.M.); (J.-A.H.); (R.A.M.); (R.M.)
| | - Ross A. McKinnon
- Dicipline of Clinical Pharmacology, College of Medicine and Public Health, Flinders University, Bedford Park, SA 5042, Australia; (P.I.M.); (J.-A.H.); (R.A.M.); (R.M.)
| | - Robyn Meech
- Dicipline of Clinical Pharmacology, College of Medicine and Public Health, Flinders University, Bedford Park, SA 5042, Australia; (P.I.M.); (J.-A.H.); (R.A.M.); (R.M.)
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Özkan A, Stolley DL, Cressman ENK, McMillin M, DeMorrow S, Yankeelov TE, Rylander MN. Tumor Microenvironment Alters Chemoresistance of Hepatocellular Carcinoma Through CYP3A4 Metabolic Activity. Front Oncol 2021; 11:662135. [PMID: 34262860 PMCID: PMC8273608 DOI: 10.3389/fonc.2021.662135] [Citation(s) in RCA: 24] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2021] [Accepted: 05/07/2021] [Indexed: 12/20/2022] Open
Abstract
Variations in tumor biology from patient to patient combined with the low overall survival rate of hepatocellular carcinoma (HCC) present significant clinical challenges. During the progression of chronic liver diseases from inflammation to the development of HCC, microenvironmental properties, including tissue stiffness and oxygen concentration, change over time. This can potentially impact drug metabolism and subsequent therapy response to commonly utilized therapeutics, such as doxorubicin, multi-kinase inhibitors (e.g., sorafenib), and other drugs, including immunotherapies. In this study, we utilized four common HCC cell lines embedded in 3D collagen type-I gels of varying stiffnesses to mimic normal and cirrhotic livers with environmental oxygen regulation to quantify the impact of these microenvironmental factors on HCC chemoresistance. In general, we found that HCC cells with higher baseline levels of cytochrome p450-3A4 (CYP3A4) enzyme expression, HepG2 and C3Asub28, exhibited a cirrhosis-dependent increase in doxorubicin chemoresistance. Under the same conditions, HCC cell lines with lower CYP3A4 expression, HuH-7 and Hep3B2, showed a decrease in doxorubicin chemoresistance in response to an increase in microenvironmental stiffness. This differential therapeutic response was correlated with the regulation of CYP3A4 expression levels under the influence of stiffness and oxygen variation. In all tested HCC cell lines, the addition of sorafenib lowered the required doxorubicin dose to induce significant levels of cell death, demonstrating its potential to help reduce systemic doxorubicin toxicity when used in combination. These results suggest that patient-specific tumor microenvironmental factors, including tissue stiffness, hypoxia, and CYP3A4 activity levels, may need to be considered for more effective use of chemotherapeutics in HCC patients.
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Affiliation(s)
- Alican Özkan
- Department of Mechanical Engineering, The University of Texas, Austin, TX, United States
| | - Danielle L. Stolley
- Department of Biomedical Engineering, The University of Texas, Austin, TX, United States
| | - Erik N. K. Cressman
- Department of Interventional Radiology, The University of Texas MD Anderson Cancer Center, Houston, TX, United States
| | - Matthew McMillin
- Department of Internal Medicine, Dell Medical School, The University of Texas at Austin, Austin, TX, United States
- Central Texas Veterans Health Care System, Temple, TX, United States
| | - Sharon DeMorrow
- Department of Internal Medicine, Dell Medical School, The University of Texas at Austin, Austin, TX, United States
- Central Texas Veterans Health Care System, Temple, TX, United States
- Division of Pharmacology and Toxicology, College of Pharmacy, The University of Texas at Austin, Austin, TX, United States
| | - Thomas E. Yankeelov
- Department of Biomedical Engineering, The University of Texas, Austin, TX, United States
- Oden Institute for Computational Engineering and Sciences, The University of Texas, Austin, TX, United States
- Departments of Diagnostic Medicine, The University of Texas, Austin, TX, United States
- Department of Oncology, The University of Texas, Austin, TX, United States
- Livestrong Cancer Institutes, Dell Medical School, The University of Texas, Austin, TX, United States
| | - Marissa Nichole Rylander
- Department of Mechanical Engineering, The University of Texas, Austin, TX, United States
- Department of Biomedical Engineering, The University of Texas, Austin, TX, United States
- Oden Institute for Computational Engineering and Sciences, The University of Texas, Austin, TX, United States
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Hu DG, Mackenzie PI, Hulin JA, McKinnon RA, Meech R. Circular RNAs of UDP-Glycosyltransferase ( UGT) Genes Expand the Complexity and Diversity of the UGT Transcriptome. Mol Pharmacol 2021; 99:488-503. [PMID: 33824186 DOI: 10.1124/molpharm.120.000225] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2020] [Accepted: 03/26/2021] [Indexed: 12/27/2022] Open
Abstract
The human UDP-glycosyltransferase (UGT) gene superfamily generates 22 canonical transcripts coding for functional enzymes and also produces nearly 150 variant UGT transcripts through alternative splicing and intergenic splicing. In the present study, our analysis of circRNA databases identified backsplicing events that predicted 85 circRNAs from UGT genes, with 33, 11, and 19 circRNAs from UGT1A, UGT2B4, UGT8, respectively. Most of these UGT circRNAs were reported by one database and had low abundance in cell- or tissue-specific contexts. Using reverse-transcriptase polymerase chain reaction with divergent primers and cDNA samples from human tissues and cell lines, we found 13 circRNAs from four UGT genes: UGT1A (three), UGT2B7 (one), UGT2B10 (one), and UGT8 (eight). Notably, all eight UGT8 circRNAs contain open reading frames that include the canonical start AUG codon and encode variant proteins that all have the common 274-amino acidN-terminal region of wild-type UGT8 protein. We further showed that one UGT8 circRNA (circ_UGT8-1) was broadly expressed in human tissues and cell lines, resistant to RNase R digestion, and predominately present in the cytoplasm. We cloned five UGT8 circRNAs into the Zinc finger with KRAB and SCAN domains 1 vector and transfected them into HEK293T cells. All these vectors produced both circRNAsand linear transcripts with varying circular/linear ratios (0.17-1.14).Western blotting and mass spectrometry assays revealed that only linear transcripts and not circRNAs were translated. In conclusion, our findings of nearly 100 circRNAs greatly expand the complexity and diversity of the UGT transcriptome; however, UGT circRNAs are expressed at a very low level in specific cellular contexts, and their biologic functions remain to be determined. SIGNIFICANCE STATEMENT: The human UGT gene transcriptome comprises 22 canonical transcripts coding for functional enzymes and approximately 150 alternatively spliced and chimeric variant transcripts. The present study identified nearly 100 circRNAs from UGT genes, thus greatly expanding the complexity and diversity of the UGT transcriptome. UGT circRNAs were expressed broadly in human tissues and cell lines; however, most showed very low abundance in tissue- and cell-specific contexts, and therefore their biological functions remain to be investigated.
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Affiliation(s)
- Dong Gui Hu
- Department of Clinical Pharmacology and Flinders Cancer Centre, Flinders University, College of Medicine and Public Health, Flinders Medical Centre, Bedford Park, South Australia, Australia
| | - Peter I Mackenzie
- Department of Clinical Pharmacology and Flinders Cancer Centre, Flinders University, College of Medicine and Public Health, Flinders Medical Centre, Bedford Park, South Australia, Australia
| | - Julie-Ann Hulin
- Department of Clinical Pharmacology and Flinders Cancer Centre, Flinders University, College of Medicine and Public Health, Flinders Medical Centre, Bedford Park, South Australia, Australia
| | - Ross A McKinnon
- Department of Clinical Pharmacology and Flinders Cancer Centre, Flinders University, College of Medicine and Public Health, Flinders Medical Centre, Bedford Park, South Australia, Australia
| | - Robyn Meech
- Department of Clinical Pharmacology and Flinders Cancer Centre, Flinders University, College of Medicine and Public Health, Flinders Medical Centre, Bedford Park, South Australia, Australia
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Innovation in bioanalytical strategies and in vitro drug-drug interaction study approaches in drug discovery. Bioanalysis 2021; 13:513-532. [PMID: 33682424 DOI: 10.4155/bio-2021-0001] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022] Open
Abstract
Failure to evaluate actual toxicities of investigational molecules in drug discovery is majorly due to inadequate evaluation of their pharmacokinetics. Limitation of conventional drug metabolism profiling procedure demands advancement of existing approaches. Various techniques such as 3D cell culture system, bio microfluidic OoC model, sandwich culture model is in pipeline to be employed at their full potential in drug discovery phase. Although they outweigh the conventional techniques in various aspects, a more detailed exploration of applicability in terms of automation and high throughput analysis is required. This review extensively discusses various ongoing innovations in bioanalytical techniques. The review also proposed various scientific strategies to be adopted for prior assessment of interaction possibilities in translational drug discovery research.
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Bailly C. Atractylenolides, essential components of Atractylodes-based traditional herbal medicines: Antioxidant, anti-inflammatory and anticancer properties. Eur J Pharmacol 2020; 891:173735. [PMID: 33220271 DOI: 10.1016/j.ejphar.2020.173735] [Citation(s) in RCA: 36] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2020] [Revised: 10/29/2020] [Accepted: 11/05/2020] [Indexed: 12/20/2022]
Abstract
The rhizome of the plant Atractylodes macrocephala Koidz is the major constituent of the Traditional Chinese Medicine Baizhu, frequently used to treat gastro-intestinal diseases. Many traditional medicine prescriptions based on Baizhu and the similar preparation Cangzhu are used in China, Korea and Japan as Qi-booster. These preparations contain atractylenolides, a small group of sesquiterpenoids endowed with antioxidant and anti-inflammatory properties. Atractylenolides I, II and III also display significant anticancer properties, reviewed here. The capacity of AT-I/II/IIII to inhibit cell proliferation and to induce cancer cell death have been analyzed, together with their effects of angiogenesis, metastasis, cell differentiation and stemness. The immune-modulatory properties of ATs are discussed. AT-I has been tested clinically for the treatment of cancer-induced cachexia with encouraging results. ATs, alone or combined with cytotoxic drugs, could be useful to treat cancers or to reduce side effects of radio and chemotherapy. Several signaling pathways have been implicated in their multi-targeted mechanisms of action, in particular those involving the central regulators TLR4, NFκB and Nrf2. A drug-induced reduction of inflammatory cytokines production (TNFα, IL-6) also characterizes these molecules which are generally weakly cytotoxic and well tolerated in vivo. Inhibition of Janus kinases (notably JAK2 and JAK3 targeted by AT-I and AT-III, respectively) has been postulated. Information about their metabolism and toxicity are limited but the long-established traditional use of the Atractylodes and the diversity of anticancer effects reported with AT-I and AT-III should encourage further studies with these molecules and structurally related natural products.
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The Expression Profiles of ADME Genes in Human Cancers and Their Associations with Clinical Outcomes. Cancers (Basel) 2020; 12:cancers12113369. [PMID: 33202946 PMCID: PMC7697355 DOI: 10.3390/cancers12113369] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2020] [Revised: 11/04/2020] [Accepted: 11/11/2020] [Indexed: 02/07/2023] Open
Abstract
ADME genes are a group of genes that are involved in drug absorption, distribution, metabolism, and excretion (ADME). The expression profiles of ADME genes within tumours is proposed to impact on cancer patient survival; however, this has not been systematically examined. In this study, our comprehensive analyses of pan-cancer datasets from the Cancer Genome Atlas (TCGA) revealed differential intratumoral expression profiles for ADME genes in 21 different cancer types. Most genes also showed high interindividual variability within cancer-specific patient cohorts. Using Kaplan-Meier plots and logrank tests, we showed that intratumoral expression levels of twenty of the thirty-two core ADME genes were associated with overall survival (OS) in these cancers. Of these genes, five showed significant association with unfavourable OS in three cancers, including SKCM (ABCC2, GSTP1), KIRC (CYP2D6, CYP2E1), PAAD (UGT2B7); sixteen showed significant associations with favourable OS in twelve cancers, including BLCA (UGT2B15), BRCA (CYP2D6), COAD (NAT1), HNSC (ABCB1), KIRC (ABCG2, CYP3A4, SLC22A2, SLC22A6), KIRP (SLC22A2), LIHC (CYP2C19, CYP2C8, CYP2C9, CYP3A5, SLC22A1), LUAD (SLC15A2), LUSC (UGT1A1), PAAD (ABCB1), SARC (ABCB1), and SKCM (ABCB1, DYPD). Overall, these data provide compelling evidence supporting ADME genes as prognostic biomarkers and potential therapeutic targets. We propose that intratumoral expression of ADME genes may impact cancer patient survival by multiple mechanisms that can include metabolizing/transporting anticancer drugs, activating anticancer drugs, and metabolizing/transporting a variety of endogenous molecules involved in metabolically fuelling cancer cells and/or controlling pro-growth signalling pathways.
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Jarrar Y, Jarrar Q, Abu-Shalhoob M, Abed A, Sha'ban E. Relative Expression of Mouse Udp-glucuronosyl Transferase 2b1 Gene in the Livers, Kidneys, and Hearts: The Influence of Nonsteroidal Anti-inflammatory Drug Treatment. Curr Drug Metab 2020; 20:918-923. [PMID: 31733637 DOI: 10.2174/1389200220666191115103310] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2019] [Revised: 09/27/2019] [Accepted: 10/25/2019] [Indexed: 11/22/2022]
Abstract
BACKGROUND Mouse Udp-glucuronosyl Transferase (UGT) 2b1 is equivalent to the human UGT2B7 enzyme, which is a phase II drug-metabolising enzyme and plays a major role in the metabolism of xenobiotic and endogenous compounds. This study aimed to find the relative expression of the mouse ugt2b1 gene in the liver, kidney, and heart organs and the influence of Nonsteroidal Anti-inflammatory Drug (NSAID) administration. METHODS Thirty-five Blab/c mice were divided into 5 groups and treated with different commonly-used NSAIDs; diclofenac, ibuprofen, meloxicam, and mefenamic acid for 14 days. The livers, kidneys, and hearts were isolated, while the expression of ugt2b1 gene was analysed with a quantitative real-time polymerase chain reaction technique. RESULTS It was found that the ugt2b1 gene is highly expressed in the liver, and then in the heart and the kidneys. NSAIDs significantly upregulated (ANOVA, p < 0.05) the expression of ugt2b1 in the heart, while they downregulated its expression (ANOVA, p < 0.05) in the liver and kidneys. The level of NSAIDs' effect on ugt2b1 gene expression was strongly correlated (Spearman's Rho correlation, p < 0.05) with NSAID's lipophilicity in the liver and its elimination half-life in the heart. CONCLUSION This study concluded that the mouse ugt2b1 gene was mainly expressed in the liver, as 14-day administration of different NSAIDs caused alterations in the expression of this gene, which may influence the metabolism of xenobiotic and endogenous compounds.
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Affiliation(s)
- Yazun Jarrar
- Department of Pharmaceutical Science, Faculty of Pharmacy, Al-Zaytoonah University of Jordan, Amman, Jordan
| | - Qais Jarrar
- Department of Applied Pharmaceutical Sciences, Faculty of Pharmacy, Al-Isra University, Amman, Jordan
| | - Mohammad Abu-Shalhoob
- Department of Pharmaceutical Science, Faculty of Pharmacy, Al-Zaytoonah University of Jordan, Amman, Jordan
| | - Abdulqader Abed
- Department of Pharmaceutical Science, Faculty of Pharmacy, Al-Zaytoonah University of Jordan, Amman, Jordan
| | - Esra'a Sha'ban
- ACDIMA Centre for Bioequivalence and Pharmaceutical Studies, Amman, Jordan
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Lei XX, Liu Y, Wang JX, Cai Q, Yan M, He HP, Liu Q, Long ZJ, Guan Z. SOX1 promotes differentiation of nasopharyngeal carcinoma cells by activating retinoid metabolic pathway. Cell Death Dis 2020; 11:331. [PMID: 32382038 PMCID: PMC7206110 DOI: 10.1038/s41419-020-2513-1] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2019] [Revised: 04/08/2020] [Accepted: 04/08/2020] [Indexed: 12/15/2022]
Abstract
Undifferentiation is a key feature of nasopharyngeal carcinoma (NPC), which presents as a unique opportunity for intervention by differentiation therapy. In this study, we found that SOX1 inhibited proliferation, promoted differentiation, and induced senescence of NPC cells, which depended on its transcriptional function. RNA-Seq-profiling analysis showed that multiple undifferentiated markers of keratin family, including KRT5, KRT13, and KRT19, were reduced in SOX1 overexpressed NPC cells. Interestingly, gene ontology (GO) analysis revealed genes in SOX1 overexpressed cells were enriched in extracellular functions. The data of LC/MS untargeted metabolomics showed that the content of retinoids in SOX1 overexpressed cells and culture medium was both higher than that in the control group. Subsequently, we screened mRNA level of genes in retinoic acid (RA) signaling or metabolic pathway and found that the expression of UDP-glucuronosyltransferases was significantly decreased. Furtherly, UGT2B7 could rescue the differentiation induced by SOX1 overexpression. Inhibition of UGTs by demethylzeylasteral (T-96) could mimic SOX1 to promote the differentiation of NPC cells. Thus, we described a mechanism by which SOX1 regulated the differentiation of NPC cells by activating retinoid metabolic pathway, providing a potential target for differentiation therapy of NPC.
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Affiliation(s)
- Xin-Xing Lei
- Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, 510060, Guangzhou, China
| | - Yun Liu
- Department of Otorhinolaryngology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, 510120, Guangzhou, China
| | - Jin-Xing Wang
- Department of Hematology, The Third Affiliated Hospital, Sun Yat-sen University, Institute of Hematology, Sun Yat-sen University, 510630, Guangzhou, China
| | - Qian Cai
- Department of Otorhinolaryngology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, 510120, Guangzhou, China
| | - Min Yan
- Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, 510060, Guangzhou, China
| | - Hui-Ping He
- Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, 510060, Guangzhou, China
| | - Quentin Liu
- Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, 510060, Guangzhou, China.
- Department of Hematology, The Third Affiliated Hospital, Sun Yat-sen University, Institute of Hematology, Sun Yat-sen University, 510630, Guangzhou, China.
| | - Zi-Jie Long
- Department of Hematology, The Third Affiliated Hospital, Sun Yat-sen University, Institute of Hematology, Sun Yat-sen University, 510630, Guangzhou, China.
| | - Zhong Guan
- Department of Otorhinolaryngology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, 510120, Guangzhou, China.
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11
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Mikolajczyk K, Kaczmarek R, Czerwinski M. How glycosylation affects glycosylation: the role of N-glycans in glycosyltransferase activity. Glycobiology 2020; 30:941-969. [PMID: 32363402 DOI: 10.1093/glycob/cwaa041] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/20/2019] [Revised: 04/22/2020] [Accepted: 04/24/2020] [Indexed: 12/15/2022] Open
Abstract
N-glycosylation is one of the most important posttranslational modifications of proteins. It plays important roles in the biogenesis and functions of proteins by influencing their folding, intracellular localization, stability and solubility. N-glycans are synthesized by glycosyltransferases, a complex group of ubiquitous enzymes that occur in most kingdoms of life. A growing body of evidence shows that N-glycans may influence processing and functions of glycosyltransferases, including their secretion, stability and substrate/acceptor affinity. Changes in these properties may have a profound impact on glycosyltransferase activity. Indeed, some glycosyltransferases have to be glycosylated themselves for full activity. N-glycans and glycosyltransferases play roles in the pathogenesis of many diseases (including cancers), so studies on glycosyltransferases may contribute to the development of new therapy methods and novel glycoengineered enzymes with improved properties. In this review, we focus on the role of N-glycosylation in the activity of glycosyltransferases and attempt to summarize all available data about this phenomenon.
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Affiliation(s)
- Krzysztof Mikolajczyk
- Laboratory of Glycobiology, Hirszfeld Institute of Immunology and Experimental Therapy, Weigla 12, 53-114 Wroclaw, Poland
| | - Radoslaw Kaczmarek
- Laboratory of Glycobiology, Hirszfeld Institute of Immunology and Experimental Therapy, Weigla 12, 53-114 Wroclaw, Poland
| | - Marcin Czerwinski
- Laboratory of Glycobiology, Hirszfeld Institute of Immunology and Experimental Therapy, Weigla 12, 53-114 Wroclaw, Poland
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12
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Emerging roles for UDP-glucuronosyltransferases in drug resistance and cancer progression. Br J Cancer 2020; 122:1277-1287. [PMID: 32047295 PMCID: PMC7188667 DOI: 10.1038/s41416-019-0722-0] [Citation(s) in RCA: 78] [Impact Index Per Article: 19.5] [Reference Citation Analysis] [Abstract] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2019] [Revised: 12/06/2019] [Accepted: 12/17/2019] [Indexed: 12/12/2022] Open
Abstract
The best-known role of UDP-glucuronosyltransferase enzymes (UGTs) in cancer is the metabolic inactivation of drug therapies. By conjugating glucuronic acid to lipophilic drugs, UGTs impair the biological activity and enhance the water solubility of these agents, driving their elimination. Multiple clinical observations support an expanding role for UGTs as modulators of the drug response and in mediating drug resistance in numerous cancer types. However, accumulating evidence also suggests an influence of the UGT pathway on cancer progression. Dysregulation of the expression and activity of UGTs has been associated with the progression of several cancers, arguing for UGTs as possible mediators of oncogenic pathways and/or disease accelerators in a drug-naive context. The consequences of altered UGT activity on tumour biology are incompletely understood. They might be associated with perturbed levels of bioactive endogenous metabolites such as steroids and bioactive lipids that are inactivated by UGTs or through non-enzymatic mechanisms, thereby eliciting oncogenic signalling cascades. This review highlights the evidence supporting dual roles for the UGT pathway, affecting cancer progression and drug resistance. Pharmacogenomic testing of UGT profiles in patients and the development of therapeutic options that impair UGT actions could provide useful prognostic and predictive biomarkers and enhance the efficacy of anti-cancer drugs.
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13
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Models for Understanding Resistance to Chemotherapy in Liver Cancer. Cancers (Basel) 2019; 11:cancers11111677. [PMID: 31671735 PMCID: PMC6896032 DOI: 10.3390/cancers11111677] [Citation(s) in RCA: 23] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/24/2019] [Revised: 10/23/2019] [Accepted: 10/24/2019] [Indexed: 12/19/2022] Open
Abstract
The lack of response to pharmacological treatment constitutes a substantial limitation in the handling of patients with primary liver cancers (PLCs). The existence of active mechanisms of chemoresistance (MOCs) in hepatocellular carcinoma, cholangiocarcinoma, and hepatoblastoma hampers the usefulness of chemotherapy. A better understanding of MOCs is needed to develop strategies able to overcome drug refractoriness in PLCs. With this aim, several experimental models are commonly used. These include in vitro cell-free assays using subcellular systems; studies with primary cell cultures; cancer cell lines or heterologous expression systems; multicellular models, such as spheroids and organoids; and a variety of in vivo models in rodents, such as subcutaneous and orthotopic tumor xenografts or chemically or genetically induced liver carcinogenesis. Novel methods to perform programmed genomic edition and more efficient techniques to isolate circulating microvesicles offer new opportunities for establishing useful experimental tools for understanding the resistance to chemotherapy in PLCs. In the present review, using three criteria for information organization: (1) level of research; (2) type of MOC; and (3) type of PLC, we have summarized the advantages and limitations of the armamentarium available in the field of pharmacological investigation of PLC chemoresistance.
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14
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Zastrozhin MS, Skryabin VY, Miroshkin SS, Bryun EA, Sychev DA. Pharmacogenetics of alcohol addiction: current perspectives. APPLICATION OF CLINICAL GENETICS 2019; 12:131-140. [PMID: 31372024 PMCID: PMC6628972 DOI: 10.2147/tacg.s206745] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 02/25/2019] [Accepted: 06/10/2019] [Indexed: 12/31/2022]
Abstract
Genetics of alcohol addiction is currently a contradictive and complex field, where data in the most studies reflect methods’ limitations rather than meaningful and complementary results. In our review, we focus on the genetics of alcohol addiction, leaving genetics of acute alcohol intoxication out of the scope. A review of the literature on pharmacogenetic biomarkers development for the pharmacotherapy personalization reveals that today the evidence base concerning these biomarkers is still insufficient. In particular, now the researches with the design of randomized controlled trials and meta-analysis investigating the effect of the SNPs as biomarkers on the therapy efficacy are available for naltrexone only. For other medications, there are only a few studies in small samples. It decreases the possibilities to implement the pharmacogenetic algorithms for the pharmacotherapy personalization in patients with alcohol use disorders (AUD). In view of the importance of the precision approaches development not in addiction medicine only, but in other fields of medicine also to increase the efficacy and safety of the therapy, studies on pharmacogenetic biomarkers development for the medications used in patients with AUD (eg, naltrexone, disulfiram, nalmefene, acamprosate, etc.) remain relevant to this day.
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Affiliation(s)
- M S Zastrozhin
- Moscow Research and Practical Centre on Addictions of the Moscow Department of Healthcare , Moscow 109390, Russian Federation.,Department of Addictology, Russian Medical Academy of Continuous Professional Education of the Ministry of Health of the Russian Federation, Moscow 123995, Russian Federation
| | - V Yu Skryabin
- Moscow Research and Practical Centre on Addictions of the Moscow Department of Healthcare , Moscow 109390, Russian Federation
| | - S S Miroshkin
- Moscow Research and Practical Centre on Addictions of the Moscow Department of Healthcare , Moscow 109390, Russian Federation.,Department of Addictology, Russian Medical Academy of Continuous Professional Education of the Ministry of Health of the Russian Federation, Moscow 123995, Russian Federation
| | - E A Bryun
- Moscow Research and Practical Centre on Addictions of the Moscow Department of Healthcare , Moscow 109390, Russian Federation.,Department of Addictology, Russian Medical Academy of Continuous Professional Education of the Ministry of Health of the Russian Federation, Moscow 123995, Russian Federation
| | - D A Sychev
- Moscow Research and Practical Centre on Addictions of the Moscow Department of Healthcare , Moscow 109390, Russian Federation.,Department of Addictology, Russian Medical Academy of Continuous Professional Education of the Ministry of Health of the Russian Federation, Moscow 123995, Russian Federation
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15
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Meech R, Hu DG, McKinnon RA, Mubarokah SN, Haines AZ, Nair PC, Rowland A, Mackenzie PI. The UDP-Glycosyltransferase (UGT) Superfamily: New Members, New Functions, and Novel Paradigms. Physiol Rev 2019; 99:1153-1222. [DOI: 10.1152/physrev.00058.2017] [Citation(s) in RCA: 103] [Impact Index Per Article: 20.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023] Open
Abstract
UDP-glycosyltransferases (UGTs) catalyze the covalent addition of sugars to a broad range of lipophilic molecules. This biotransformation plays a critical role in elimination of a broad range of exogenous chemicals and by-products of endogenous metabolism, and also controls the levels and distribution of many endogenous signaling molecules. In mammals, the superfamily comprises four families: UGT1, UGT2, UGT3, and UGT8. UGT1 and UGT2 enzymes have important roles in pharmacology and toxicology including contributing to interindividual differences in drug disposition as well as to cancer risk. These UGTs are highly expressed in organs of detoxification (e.g., liver, kidney, intestine) and can be induced by pathways that sense demand for detoxification and for modulation of endobiotic signaling molecules. The functions of the UGT3 and UGT8 family enzymes have only been characterized relatively recently; these enzymes show different UDP-sugar preferences to that of UGT1 and UGT2 enzymes, and to date, their contributions to drug metabolism appear to be relatively minor. This review summarizes and provides critical analysis of the current state of research into all four families of UGT enzymes. Key areas discussed include the roles of UGTs in drug metabolism, cancer risk, and regulation of signaling, as well as the transcriptional and posttranscriptional control of UGT expression and function. The latter part of this review provides an in-depth analysis of the known and predicted functions of UGT3 and UGT8 enzymes, focused on their likely roles in modulation of levels of endogenous signaling pathways.
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Affiliation(s)
- Robyn Meech
- Department of Clinical Pharmacology and Flinders Centre for Innovation in Cancer, Flinders University College of Medicine and Public Health, Flinders Medical Centre, Bedford Park, South Australia, Australia
| | - Dong Gui Hu
- Department of Clinical Pharmacology and Flinders Centre for Innovation in Cancer, Flinders University College of Medicine and Public Health, Flinders Medical Centre, Bedford Park, South Australia, Australia
| | - Ross A. McKinnon
- Department of Clinical Pharmacology and Flinders Centre for Innovation in Cancer, Flinders University College of Medicine and Public Health, Flinders Medical Centre, Bedford Park, South Australia, Australia
| | - Siti Nurul Mubarokah
- Department of Clinical Pharmacology and Flinders Centre for Innovation in Cancer, Flinders University College of Medicine and Public Health, Flinders Medical Centre, Bedford Park, South Australia, Australia
| | - Alex Z. Haines
- Department of Clinical Pharmacology and Flinders Centre for Innovation in Cancer, Flinders University College of Medicine and Public Health, Flinders Medical Centre, Bedford Park, South Australia, Australia
| | - Pramod C. Nair
- Department of Clinical Pharmacology and Flinders Centre for Innovation in Cancer, Flinders University College of Medicine and Public Health, Flinders Medical Centre, Bedford Park, South Australia, Australia
| | - Andrew Rowland
- Department of Clinical Pharmacology and Flinders Centre for Innovation in Cancer, Flinders University College of Medicine and Public Health, Flinders Medical Centre, Bedford Park, South Australia, Australia
| | - Peter I. Mackenzie
- Department of Clinical Pharmacology and Flinders Centre for Innovation in Cancer, Flinders University College of Medicine and Public Health, Flinders Medical Centre, Bedford Park, South Australia, Australia
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16
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Mechanisms of Anticancer Drug Resistance in Hepatoblastoma. Cancers (Basel) 2019; 11:cancers11030407. [PMID: 30909445 PMCID: PMC6468761 DOI: 10.3390/cancers11030407] [Citation(s) in RCA: 32] [Impact Index Per Article: 6.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2019] [Revised: 03/12/2019] [Accepted: 03/18/2019] [Indexed: 12/25/2022] Open
Abstract
The most frequent liver tumor in children is hepatoblastoma (HB), which derives from embryonic parenchymal liver cells or hepatoblasts. Hepatocellular carcinoma (HCC), which rarely affects young people, causes one fourth of deaths due to cancer in adults. In contrast, HB usually has better prognosis, but this is still poor in 20% of cases. Although more responsive to chemotherapy than HCC, the failure of pharmacological treatment used before and/or after surgical resection is an important limitation in the management of patients with HB. To advance in the implementation of personalized medicine it is important to select the best combination among available anti-HB drugs, such as platinum derivatives, anthracyclines, etoposide, tyrosine-kinase inhibitors, Vinca alkaloids, 5-fluorouracil, monoclonal antibodies, irinotecan and nitrogen mustards. This requires predicting the sensitivity to these drugs of each tumor at each time because, it should be kept in mind, that cancer chemoresistance is a dynamic process of Darwinian nature. For this goal it is necessary to improve our understanding of the mechanisms of chemoresistance involved in the refractoriness of HB against the pharmacological challenge and how they evolve during treatment. In this review we have summarized the current knowledge on the multifactorial and complex factors responsible for the lack of response of HB to chemotherapy.
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17
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Weinsanto I, Laux-Biehlmann A, Mouheiche J, Maduna T, Delalande F, Chavant V, Gabel F, Darbon P, Charlet A, Poisbeau P, Lamshöft M, Van Dorsselaer A, Cianferani S, Parat MO, Goumon Y. Stable isotope-labelled morphine to study in vivo central and peripheral morphine glucuronidation and brain transport in tolerant mice. Br J Pharmacol 2018; 175:3844-3856. [PMID: 30051501 DOI: 10.1111/bph.14454] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/21/2017] [Revised: 07/09/2018] [Accepted: 07/11/2018] [Indexed: 12/26/2022] Open
Abstract
BACKGROUND AND PURPOSE Chronic administration of medication can significantly affect metabolic enzymes leading to physiological adaptations. Morphine metabolism in the liver has been extensively studied following acute morphine treatment, but such metabolic processes in the CNS are poorly characterized. Long-term morphine treatment is limited by the development of tolerance, resulting in a decrease of its analgesic effect. Whether or not morphine analgesic tolerance affects in vivo brain morphine metabolism and blood-brain barrier (BBB) permeability remains a major question. Here, we have attempted to characterize the in vivo metabolism and BBB permeability of morphine after long-term treatment, at both central and peripheral levels. EXPERIMENTAL APPROACH Male C57BL/6 mice were injected with morphine or saline solution for eight consecutive days in order to induce morphine analgesic tolerance. On the ninth day, both groups received a final injection of morphine (85%) and d3-morphine (morphine bearing three 2 H; 15%, w/w). Mice were then killed and blood, urine, brain and liver samples were collected. LC-MS/MS was used to quantify morphine, its metabolite morphine-3-glucuronide (M3G) and their respective d3-labelled forms. KEY RESULTS We found no significant differences in morphine CNS uptake and metabolism between control and tolerant mice. Interestingly, d3-morphine metabolism was decreased compared to morphine without any interference with our study. CONCLUSIONS AND IMPLICATIONS Our data suggests that tolerance to the analgesic effects of morphine is not linked to increased glucuronidation to M3G or to altered global BBB permeability of morphine.
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Affiliation(s)
- Ivan Weinsanto
- CNRS UPR3212, Institut des Neurosciences Cellulaires et Intégratives, Centre National de la Recherche Scientifique and University of Strasbourg, Strasbourg, France
| | - Alexis Laux-Biehlmann
- CNRS UPR3212, Institut des Neurosciences Cellulaires et Intégratives, Centre National de la Recherche Scientifique and University of Strasbourg, Strasbourg, France
| | - Jinane Mouheiche
- CNRS UPR3212, Institut des Neurosciences Cellulaires et Intégratives, Centre National de la Recherche Scientifique and University of Strasbourg, Strasbourg, France
| | - Tando Maduna
- CNRS UPR3212, Institut des Neurosciences Cellulaires et Intégratives, Centre National de la Recherche Scientifique and University of Strasbourg, Strasbourg, France
| | - François Delalande
- CNRS UMR7178, Laboratoire de Spectrométrie de Masse BioOrganique, IPHC-DSA, Centre National de la Recherche Scientifique and University of Strasbourg, Strasbourg, France
| | - Virginie Chavant
- CNRS UPR3212, Institut des Neurosciences Cellulaires et Intégratives, Centre National de la Recherche Scientifique and University of Strasbourg, Strasbourg, France.,Mass Spectrometry Platform, CNRS UPR3212, Institut des Neurosciences Cellulaires et Intégratives, Centre National de la Recherche Scientifique, Strasbourg, France
| | - Florian Gabel
- CNRS UPR3212, Institut des Neurosciences Cellulaires et Intégratives, Centre National de la Recherche Scientifique and University of Strasbourg, Strasbourg, France
| | - Pascal Darbon
- CNRS UPR3212, Institut des Neurosciences Cellulaires et Intégratives, Centre National de la Recherche Scientifique and University of Strasbourg, Strasbourg, France
| | - Alexandre Charlet
- CNRS UPR3212, Institut des Neurosciences Cellulaires et Intégratives, Centre National de la Recherche Scientifique and University of Strasbourg, Strasbourg, France
| | - Pierrick Poisbeau
- CNRS UPR3212, Institut des Neurosciences Cellulaires et Intégratives, Centre National de la Recherche Scientifique and University of Strasbourg, Strasbourg, France
| | - Marc Lamshöft
- Institute of Environmental Research, University of Technology Dortmund, Dortmund, Germany
| | - Alain Van Dorsselaer
- CNRS UMR7178, Laboratoire de Spectrométrie de Masse BioOrganique, IPHC-DSA, Centre National de la Recherche Scientifique and University of Strasbourg, Strasbourg, France
| | - Sarah Cianferani
- CNRS UMR7178, Laboratoire de Spectrométrie de Masse BioOrganique, IPHC-DSA, Centre National de la Recherche Scientifique and University of Strasbourg, Strasbourg, France
| | - Marie-Odile Parat
- School of Pharmacy, University of Queensland, Woolloongabba, Australia.,Outcomes Research Consortium, Cleveland, OH, USA
| | - Yannick Goumon
- CNRS UPR3212, Institut des Neurosciences Cellulaires et Intégratives, Centre National de la Recherche Scientifique and University of Strasbourg, Strasbourg, France.,Mass Spectrometry Platform, CNRS UPR3212, Institut des Neurosciences Cellulaires et Intégratives, Centre National de la Recherche Scientifique, Strasbourg, France
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18
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Hu DG, Hulin JA, Wijayakumara DD, McKinnon RA, Mackenzie PI, Meech R. Intergenic Splicing between Four Adjacent UGT Genes (2B15, 2B29P2, 2B17, 2B29P1) Gives Rise to Variant UGT Proteins That Inhibit Glucuronidation via Protein-Protein Interactions. Mol Pharmacol 2018; 94:938-952. [DOI: 10.1124/mol.118.111773] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2018] [Accepted: 06/08/2018] [Indexed: 01/12/2023] Open
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19
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Drug-drug interactions in the treatment for alcohol use disorders: A comprehensive review. Pharmacol Res 2018; 133:65-76. [PMID: 29719204 DOI: 10.1016/j.phrs.2018.04.024] [Citation(s) in RCA: 28] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/26/2017] [Revised: 04/26/2018] [Accepted: 04/27/2018] [Indexed: 12/14/2022]
Abstract
Drug interactions are one of the most common causes of side effects in polypharmacy. Alcoholics are a category of patients at high risk of pharmacological interactions, due to the presence of comorbidities, the concomitant intake of several medications and the pharmacokinetic and pharmacodynamic interferences of ethanol. However, the data available on this issue are limited. These reasons often frighten clinicians when prescribing appropriate pharmacological therapies for alcohol use disorder (AUD), where less than 15% of patients receive an appropriate treatment in the most severe forms. The data available in literature regarding the relevant drug-drug interactions of the medications currently approved in United States and in some European countries for the treatment of AUD (benzodiazepines, acamprosate, baclofen, disulfiram, nalmefene, naltrexone and sodium oxybate) are reviewed here. The class of benzodiazepines and disulfiram are involved in numerous pharmacological interactions, while they are not conspicuous for acamprosate. The other drugs are relatively safe for pharmacological interactions, excluding the opioid withdrawal syndrome caused by the combination of nalmefene or naltrexone with an opiate medication. The information obtained is designed to help clinicians in understanding and managing the pharmacological interactions in AUDs, especially in patients under multi-drug treatment, in order to reduce the risk of a negative interaction and to improve the treatment outcomes.
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20
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Advances in drug metabolism and pharmacogenetics research in Australia. Pharmacol Res 2017; 116:7-19. [DOI: 10.1016/j.phrs.2016.12.008] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/10/2016] [Revised: 12/07/2016] [Accepted: 12/08/2016] [Indexed: 01/04/2023]
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21
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Chanawong A, Hu DG, Meech R, Mackenzie PI, McKinnon RA. Induction of UDP-glucuronosyltransferase 2B15 gene expression by the major active metabolites of tamoxifen, 4-hydroxytamoxifen and endoxifen, in breast cancer cells. Drug Metab Dispos 2015; 43:889-97. [PMID: 25795461 DOI: 10.1124/dmd.114.062935] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2014] [Accepted: 03/19/2015] [Indexed: 11/22/2022] Open
Abstract
We previously reported upregulation of UGT2B15 by 17β-estradiol in breast cancer MCF7 cells via binding of the estrogen receptor α (ERα) to an estrogen response unit (ERU) in the proximal UGT2B15 promoter. In the present study, we show that this ERα-mediated upregulation was significantly reduced by two ER antagonists (fulvestrant and raloxifene) but was not affected by a third ER antagonist, 4-hydroxytamoxifen (4-OHTAM), a major active tamoxifen (TAM) metabolite. Furthermore, we found that, similar to 17β-estradiol, 4-OHTAM and endoxifen (another major active TAM metabolite) elevated UGT2B15 mRNA levels, and that this stimulation was significantly abrogated by fulvestrant. Further experiments using 4-OHTAM revealed a critical role for ERα in this regulation. Specifically; knockdown of ERα expression by anti-ERα small interfering RNA reduced the 4-OHTAM-mediated induction of UGT2B15 expression; 4-OHTAM activated the wild-type but not the ERU-mutated UGT2B15 promoter; and chromatin immunoprecipitation assays showed increased ERα occupancy at the UGT2B15 ERU in MCF7 cells upon exposure to 4-OHTAM. Together, these data indicate that both 17β-estradiol and the antiestrogen 4-OHTAM upregulate UGT2B15 in MCF7 cells via the same ERα-signaling pathway. This is consistent with previous observations that both 17β-estradiol and TAM upregulate a common set of genes in MCF7 cells via the ER-signaling pathway. As 4-OHTAM is a UGT2B15 substrate, the upregulation of UGT2B15 by 4-OHTAM in target breast cancer cells is likely to enhance local metabolism and inactivation of 4-OHTAM within the tumor. This represents a potential mechanism that may reduce TAM therapeutic efficacy or even contribute to the development of acquired TAM resistance.
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Affiliation(s)
- Apichaya Chanawong
- Department of Clinical Pharmacology and Flinders Centre for Innovation in Cancer, Flinders University School of Medicine, Flinders Medical Centre, Bedford Park, South Australia, Australia
| | - Dong Gui Hu
- Department of Clinical Pharmacology and Flinders Centre for Innovation in Cancer, Flinders University School of Medicine, Flinders Medical Centre, Bedford Park, South Australia, Australia
| | - Robyn Meech
- Department of Clinical Pharmacology and Flinders Centre for Innovation in Cancer, Flinders University School of Medicine, Flinders Medical Centre, Bedford Park, South Australia, Australia
| | - Peter I Mackenzie
- Department of Clinical Pharmacology and Flinders Centre for Innovation in Cancer, Flinders University School of Medicine, Flinders Medical Centre, Bedford Park, South Australia, Australia
| | - Ross A McKinnon
- Department of Clinical Pharmacology and Flinders Centre for Innovation in Cancer, Flinders University School of Medicine, Flinders Medical Centre, Bedford Park, South Australia, Australia
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