Literature DB >> 19902562

Purine biosynthetic pathway genes and methotrexate response in rheumatoid arthritis patients among north Indians.

Shruti Sharma1, Mitashree Das, Ashok Kumar, Vishal Marwaha, Subramanian Shankar, Paramjeet Singh, Padmanabhan Raghu, Ritu Aneja, Rahul Grover, Vivek Arya, Varun Dhir, Rajiva Gupta, Uma Kumar, Ramesh C Juyal, Thelma B K.   

Abstract

OBJECTIVE: Inter-individual variations to methotrexate (MTX) response among rheumatoid arthritis (RA) patients have been attributed to clinical heterogeneity and genetic variations influencing MTX pharmacology. In this study, we analyzed the association of polymorphisms in ATIC, AMPD1, ADA, and ADORA2A from the purine biosynthetic pathway with MTX response in RA patients from north India. We also assessed the cumulative contribution of these polymorphisms together with those from the receptor-metabolizer-transporter and folate pathway genes that we have previously investigated.
METHODS: RA patients recruited using the American College of Rheumatology criteria were grouped into good (n = 213) and poor (n = 68) responders to MTX, based on Disease Activity Score 28-3. Individual single nucleotide polymorphism association was tested using (chi)2 test, and cumulative contribution of all the single-nucleotide polymorphisms and cumulative contribution of all the SNPs and clinico-demographic factors were assessed using linear and logistic regression.
RESULTS: G allele of ADA rs244076 [P = 0.02, odds ratio (95% confidence interval): OR (95% CI) = 1.66 (1.01-2.75)]; and T allele of ADORA2A rs5751876 [P = 0.04, OR (95% CI) = 1.55 (1.01-2.37)] were associated with poor response, but did not stand Bonferroni correction. On regression analyses, FPGS rs1544105, TYMS rs2853539, DHFR rs7387, and ADA rs244076 were identified as putative predictors for MTX response. Carriers of the FPGS rs1544105 AA and AG genotypes [OR (95% CI) = 3.47 (1.19-10.12)] and TYMS rs2853539 AA genotype [OR (95% CI) = 2.76 (1.50-5.07)] were predictors of poor response in our patient population.
CONCLUSION: Genes from all the three pathways seem to contribute to MTX response in the Indian population. However, these observations need to be replicated in an independent sample set.

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Year:  2009        PMID: 19902562     DOI: 10.1097/fpc.0b013e328331b53e

Source DB:  PubMed          Journal:  Pharmacogenet Genomics        ISSN: 1744-6872            Impact factor:   2.089


  24 in total

1.  Density functional study on the derivatives of purine.

Authors:  Chi Wei-Jie; Li Lu-Lin; Li Bu-Tong; Wu Hai-Shun
Journal:  J Mol Model       Date:  2012-08       Impact factor: 1.810

2.  PharmGKB summary: methotrexate pathway.

Authors:  Torben S Mikkelsen; Caroline F Thorn; Jun J Yang; Cornelia M Ulrich; Deborah French; Gianluigi Zaza; Henry M Dunnenberger; Sharon Marsh; Howard L McLeod; Kathy Giacomini; Mara L Becker; Roger Gaedigk; James Steven Leeder; Leo Kager; Mary V Relling; William Evans; Teri E Klein; Russ B Altman
Journal:  Pharmacogenet Genomics       Date:  2011-10       Impact factor: 2.089

Review 3.  Predicting methotrexate resistance in rheumatoid arthritis patients.

Authors:  Mary Beth Yu; Anthony Firek; William H R Langridge
Journal:  Inflammopharmacology       Date:  2018-03-12       Impact factor: 4.473

4.  Folate metabolic pathway single nucleotide polymorphisms: a predictive pharmacogenetic marker of methotrexate response in Indian (Asian) patients with rheumatoid arthritis.

Authors:  Yogita Ghodke-Puranik; Amrutesh S Puranik; Pooja Shintre; Kalpana Joshi; Bhushan Patwardhan; Jatinder Lamba; Timothy B Niewold; Arvind Chopra
Journal:  Pharmacogenomics       Date:  2015-11-30       Impact factor: 2.533

Review 5.  The advances of methotrexate resistance in rheumatoid arthritis.

Authors:  Jun Yu; Peng Zhou
Journal:  Inflammopharmacology       Date:  2020-08-05       Impact factor: 4.473

6.  Influence of dihydrofolate reductase gene polymorphisms rs408626 (-317A>G) and rs442767 (-680C>A) on the outcome of methotrexate-based maintenance therapy in South Indian patients with acute lymphoblastic leukemia.

Authors:  Sunitha Kodidela; Suresh Chandra Pradhan; Biswajit Dubashi; Debdatta Basu
Journal:  Eur J Clin Pharmacol       Date:  2015-09-03       Impact factor: 2.953

7.  The Dihydrofolate Reductase 19 bp Polymorphism Is Not Associated with Biomarkers of Folate Status in Healthy Young Adults, Irrespective of Folic Acid Intake.

Authors:  Mari Ozaki; Anne M Molloy; James L Mills; Ruzong Fan; Yifan Wang; Eileen R Gibney; Barry Shane; Lawrence C Brody; Anne Parle-McDermott
Journal:  J Nutr       Date:  2015-08-12       Impact factor: 4.798

Review 8.  Association of the ATIC 347 C/G polymorphism with responsiveness to and toxicity of methotrexate in rheumatoid arthritis: a meta-analysis.

Authors:  Young Ho Lee; Sang-Cheol Bae
Journal:  Rheumatol Int       Date:  2016-07-05       Impact factor: 2.631

9.  Clinical-pharmacogenetic predictive models for MTX discontinuation due to adverse events in rheumatoid arthritis.

Authors:  B Jenko; L Lusa; M Tomsic; S Praprotnik; V Dolzan
Journal:  Pharmacogenomics J       Date:  2016-05-24       Impact factor: 3.550

Review 10.  Mechanism of action of methotrexate in rheumatoid arthritis, and the search for biomarkers.

Authors:  Philip M Brown; Arthur G Pratt; John D Isaacs
Journal:  Nat Rev Rheumatol       Date:  2016-10-27       Impact factor: 20.543

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