Literature DB >> 32617765

Precision medicine for rheumatologists: lessons from the pharmacogenomics of azathioprine.

Laura L Daniel1, Alyson L Dickson1, Cecilia P Chung2,3,4.   

Abstract

Precision medicine aims to personalize treatment for both effectiveness and safety. As a critical component of this emerging initiative, pharmacogenomics seeks to guide drug treatment based on genetics. In this review article, we give an overview of pharmacogenomics in the setting of an immunosuppressant frequently prescribed by rheumatologists, azathioprine. Azathioprine has a narrow therapeutic index and a high risk of adverse events. By applying candidate gene analysis and unbiased approaches, researchers have identified multiple variants associated with an increased risk for adverse events associated with azathioprine, particularly bone marrow suppression. Variants in two genes, TPMT and NUDT15, are widely recognized, leading drug regulatory agencies and professional organizations to adopt recommendations for testing before initiation of azathioprine therapy. As more gene-drug interactions are discovered, our field will continue to face the challenge of balancing benefits and costs associated with genetic testing. However, novel approaches in genomics and the integration of clinical and genetic factors into risk scores offer unprecedented opportunities for the application of pharmacogenomics in routine practice. Key Points • Pharmacogenomics can help us understand how individuals' genetics may impact their response to medications. • Azathioprine is a success story for the clinical implementation of pharmacogenomics, particularly the effects of TPMT and NUDT15 variants on myelosuppression. • As our knowledge advances, testing and dosing recommendations will continue to evolve, with our field striving to balance costs and benefits to patients. • As we aim toward the goals of precision medicine, future research may integrate increasingly individualized traits-including clinical and genetic characteristics-to predict the safety and efficacy of particular medications for individual patients.

Entities:  

Keywords:  Azathioprine; NUDT15; Personalized medicine; Pharmacogenomics; TPMT

Mesh:

Substances:

Year:  2020        PMID: 32617765      PMCID: PMC7775870          DOI: 10.1007/s10067-020-05258-2

Source DB:  PubMed          Journal:  Clin Rheumatol        ISSN: 0770-3198            Impact factor:   2.980


  94 in total

1.  TPMT genetic variants are associated with increased rejection with azathioprine use in heart transplantation.

Authors:  Jackson J Liang; Jennifer R Geske; Barry A Boilson; Robert P Frantz; Brooks S Edwards; Sudhir S Kushwaha; Walter K Kremers; Richard M Weinshilboum; Naveen L Pereira
Journal:  Pharmacogenet Genomics       Date:  2013-12       Impact factor: 2.089

Review 2.  Update on thiopurine pharmacogenetics in inflammatory bowel disease.

Authors:  Rebecca L Roberts; Murray L Barclay
Journal:  Pharmacogenomics       Date:  2015-06-12       Impact factor: 2.533

Review 3.  Effective long-term solution to therapeutic remission in Inflammatory Bowel Disease: Role of Azathioprine.

Authors:  Lyla Adam; Alisa Phulukdaree; Prashilla Soma
Journal:  Biomed Pharmacother       Date:  2018-02-05       Impact factor: 6.529

4.  A cost-effectiveness analysis of alternative disease management strategies in patients with Crohn's disease treated with azathioprine or 6-mercaptopurine.

Authors:  Marla C Dubinsky; Eileen Reyes; Joshua Ofman; Chiun-Fang Chiou; Sally Wade; William J Sandborn
Journal:  Am J Gastroenterol       Date:  2005-10       Impact factor: 10.864

Review 5.  Genetic polymorphism of thiopurine S-methyltransferase: molecular mechanisms and clinical importance.

Authors:  E Y Krynetski; W E Evans
Journal:  Pharmacology       Date:  2000-09       Impact factor: 2.547

6.  Novel pharmacogenetic markers for treatment outcome in azathioprine-treated inflammatory bowel disease.

Authors:  M A Smith; A M Marinaki; M Arenas; M Shobowale-Bakre; C M Lewis; A Ansari; J Duley; J D Sanderson
Journal:  Aliment Pharmacol Ther       Date:  2009-06-03       Impact factor: 8.171

7.  Mycophenolate mofetil versus cyclophosphamide for induction treatment of lupus nephritis.

Authors:  Gerald B Appel; Gabriel Contreras; Mary Anne Dooley; Ellen M Ginzler; David Isenberg; David Jayne; Lei-Shi Li; Eduardo Mysler; Jorge Sánchez-Guerrero; Neil Solomons; David Wofsy
Journal:  J Am Soc Nephrol       Date:  2009-04-15       Impact factor: 10.121

8.  Controlled trial of azathioprine in chronic ulcerative colitis.

Authors:  A P Kirk; J E Lennard-Jones
Journal:  Br Med J (Clin Res Ed)       Date:  1982-05-01

9.  New genetic biomarkers predicting azathioprine blood concentrations in combination therapy with 5-aminosalicylic acid.

Authors:  Kazuhiko Uchiyama; Tomohisa Takagi; Yasunori Iwamoto; Norihiko Kondo; Tetsuya Okayama; Naohisa Yoshida; Kazuhiro Kamada; Kazuhiro Katada; Osamu Handa; Takeshi Ishikawa; Hiroaki Yasuda; Junichi Sakagami; Hideyuki Konishi; Nobuaki Yagi; Yuji Naito; Yoshito Itoh
Journal:  PLoS One       Date:  2014-04-24       Impact factor: 3.240

10.  Combining clinical and candidate gene data into a risk score for azathioprine-associated leukopenia in routine clinical practice.

Authors:  Prathima Anandi; Alyson L Dickson; QiPing Feng; Wei-Qi Wei; William D Dupont; Dale Plummer; Ge Liu; Rany Octaria; Katherine A Barker; Vivian K Kawai; Kelly Birdwell; Nancy J Cox; Adriana Hung; C Michael Stein; Cecilia P Chung
Journal:  Pharmacogenomics J       Date:  2020-02-14       Impact factor: 3.245

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  1 in total

1.  TPMT and NUDT15 Variants Predict Discontinuation of Azathioprine for Myelotoxicity in Patients with Inflammatory Disease: Real-World Clinical Results.

Authors:  Alyson L Dickson; Laura L Daniel; Jacy Zanussi; W Dale Plummer; Wei-Qi Wei; Ge Liu; Tyler Reese; Prathima Anandi; Kelly A Birdwell; Vivian Kawai; Nancy J Cox; William D Dupont; Adriana M Hung; QiPing Feng; C Michael Stein; Cecilia P Chung
Journal:  Clin Pharmacol Ther       Date:  2021-10-12       Impact factor: 6.903

  1 in total

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