Literature DB >> 21652264

MicroRNA pharmacogenomics: post-transcriptional regulation of drug response.

Jakob Lewin Rukov1, Noam Shomron.   

Abstract

The field of pharmacogenomics aims to predict which drugs will be most effective and safe for a particular individual based on their genome sequence or expression profile, thereby allowing personalized treatment. The bulk of pharmacogenomic research has focused on the role of single nucleotide polymorphisms, copy number variations or differences in gene expression levels of drug metabolizing or transporting genes and drug targets. In this review paper, we focus instead on microRNAs (miRNAs): small noncoding RNAs, prevalent in metazoans, that negatively regulate gene expression in many cellular processes. We discuss how miRNAs, by regulating the expression of pharmacogenomic-related genes, can play a pivotal role in drug efficacy and toxicity and have potential clinical implications for personalized medicine.
Copyright © 2011 Elsevier Ltd. All rights reserved.

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Year:  2011        PMID: 21652264     DOI: 10.1016/j.molmed.2011.04.003

Source DB:  PubMed          Journal:  Trends Mol Med        ISSN: 1471-4914            Impact factor:   11.951


  42 in total

Review 1.  MicroRNAs as tools to predict glucocorticoid response in inflammatory bowel diseases.

Authors:  Sara De Iudicibus; Marianna Lucafò; Stefano Martelossi; Chiara Pierobon; Alessandro Ventura; Giuliana Decorti
Journal:  World J Gastroenterol       Date:  2013-11-28       Impact factor: 5.742

Review 2.  Cytochrome P450-mediated drug metabolism in the brain.

Authors:  Sharon Miksys; Rachel F Tyndale
Journal:  J Psychiatry Neurosci       Date:  2013-05       Impact factor: 6.186

3.  MicroRNA hsa-miR-29a-3p modulates CYP2C19 in human liver cells.

Authors:  Dianke Yu; Bridgett Green; William H Tolleson; Yaqiong Jin; Nan Mei; Yongli Guo; Helen Deng; Igor Pogribny; Baitang Ning
Journal:  Biochem Pharmacol       Date:  2015-08-19       Impact factor: 5.858

Review 4.  MicroRNAs and their relevance to ABC transporters.

Authors:  Sierk Haenisch; Anneke Nina Werk; Ingolf Cascorbi
Journal:  Br J Clin Pharmacol       Date:  2014-04       Impact factor: 4.335

5.  Circulating microRNA predicts insensitivity to glucocorticoid therapy in Graves' ophthalmopathy.

Authors:  Liyun Shen; Fengjiao Huang; Lei Ye; Wei Zhu; Xiaofang Zhang; Shu Wang; Weiqing Wang; Guang Ning
Journal:  Endocrine       Date:  2015-01-15       Impact factor: 3.633

6.  Insulin-like Growth Factor 1 Differentially Affects Lithium Sensitivity of Lymphoblastoid Cell Lines from Lithium Responder and Non-responder Bipolar Disorder Patients.

Authors:  Elena Milanesi; Adva Hadar; Elisabetta Maffioletti; Haim Werner; Noam Shomron; Massimo Gennarelli; Thomas G Schulze; Marta Costa; Maria Del Zompo; Alessio Squassina; David Gurwitz
Journal:  J Mol Neurosci       Date:  2015-03-05       Impact factor: 3.444

7.  miR-27b synergizes with anticancer drugs via p53 activation and CYP1B1 suppression.

Authors:  Wenjing Mu; Chaobo Hu; Haibin Zhang; Zengqiang Qu; Jin Cen; Zhixin Qiu; Chao Li; Haozhen Ren; Yixue Li; Xianghuo He; Xiaolei Shi; Lijian Hui
Journal:  Cell Res       Date:  2015-02-20       Impact factor: 25.617

Review 8.  Emerging Roles for MicroRNAs in Perioperative Medicine.

Authors:  Viola Neudecker; Kelley S Brodsky; Simone Kreth; Adit A Ginde; Holger K Eltzschig
Journal:  Anesthesiology       Date:  2016-02       Impact factor: 7.892

9.  Synthetically Lethal BMN 673 (Talazoparib) Loaded Solid Lipid Nanoparticles for BRCA1 Mutant Triple Negative Breast Cancer.

Authors:  Gamze Guney Eskiler; Gulsah Cecener; Unal Egeli; Berrin Tunca
Journal:  Pharm Res       Date:  2018-09-25       Impact factor: 4.200

Review 10.  microRNAs as pharmacogenomic biomarkers for drug efficacy and drug safety assessment.

Authors:  Igor Koturbash; William H Tolleson; Lei Guo; Dianke Yu; Si Chen; Huixiao Hong; William Mattes; Baitang Ning
Journal:  Biomark Med       Date:  2015-10-26       Impact factor: 2.851

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