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Prediction of response of collagen-induced arthritis rats to methotrexate: An 1H-NMR-based urine metabolomic analysis

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Summary

Over one half the patients with rheumatoid arthritis (RA) are being treated with methotrexate (MTX). Although well proven, the efficacy of MTX varies in individual patients. This study examined the metabolic biomarkers that can be used to predict the therapeutic effect of MTX by using metabolomic analysis. Rats were immunized with collagen to rapidly cause collagen-induced arthritis (CIA) and then treated with 0.1 mg/kg MTX for 4 weeks. The clinical signs and the histopathological features of CIA were observed to evaluate the therapeutic effects. Urine samples of CIA rats were collected, and analyzed by using 600 M 1H-nuclear magnetic resonance (1H-NMR) for spectral binning after the therapy. The urine spectra were divided into spectral bins, and 20 endogenous metabolites were assigned by Chenomx Suite. Multivariate analyses were performed to identify the spectral pattern of endogenous metabolites related to MTX therapy. The results showed that the clustering of the spectra of the urine samples from the responsive rats (n=20) was different from that from the non-responsive rats (n=11). Multivariate analysis showed difference in metabolic profiles between the responsive and non-responsive rats by using partial least squares-discrimination analysis (PLS-DA) (R2=0.812, Q2=0.604). In targeted profiling, 13 endogenous metabolites (uric acid, taurine, histidine, methionine, glycine, etc.) were selected as putative biomarkers for predicting therapeutic response to MTX. It was suggested that 1H-NMR-based metabolomic analysis can be used to predict the therapeutic effect of MTX, and several metabolites were found to be related to the therapeutic effects of MTX.

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References

  1. Vallbracht I, Rieber J, Oppermann M, et al. Diagnostic and clinical value of anti-cyclic citrullinated peptide antibodies compared with rheumatoid factor isotypes in rheumatoid arthritis. Ann Rheum Dis, 2004,63(9):1079–1084

    Article  PubMed  CAS  Google Scholar 

  2. Ward MM. Rheumatoid arthritis: Guidelines for the management of RA: breadth versus depth. Nat Rev Rheumatol, 2009,5(6):302–303

    Article  PubMed  Google Scholar 

  3. Ranganathan P, McLeod HL. Methotrexate pharmacoge netics: the first step toward individualized therapy in rheumatoid arthritis. Arthritis Rheum, 2006,54(5):1366–1377

    Article  PubMed  CAS  Google Scholar 

  4. Grim J, Chládek J, MartÍnková J. Pharmacokinetics and pharmacodynamics of methotrexate in non-neoplastic diseases. Clin Pharmacokinet, 2003,42(2):139–151

    Article  PubMed  CAS  Google Scholar 

  5. Inoue S, Hashiguchi M, Takagi K, et al. Preliminary study to identify the predictive factors for the response to methotrexate therapy in patients with rheumatoid arthritis. Yakugaku Zasshi, 2009,129(7):843–849

    Article  PubMed  CAS  Google Scholar 

  6. Dervieux T, Furst D, Lein DO, et al. Polyglutamation of methotrexate with common polymorphisms in reduced folate carrier, aminoimidazole carboxamide ribonucleotide transformylase, and thymidylate synthase are associated with methotrexate effects in rheumatoid arthritis. Arthritis Rheum, 2004,50(9):2766–2774

    Article  PubMed  CAS  Google Scholar 

  7. Kumagai K, Hiyama K, Oyama T, et al. Polymorphisms in the thymidylate synthase and methylenetetrahydrofolate reductase genes and sensitivity to the low-dose methotrexate therapy in patients with rheumatoid arthritis. Int J Mol Med, 2003,11(5):593–600

    PubMed  CAS  Google Scholar 

  8. Takatori R, Takahashi KA, Tokunaga D, et al. ABCB1 C3435T polymorphism influences methotrexate sensitivity in rheumatoid arthritis patients. Clin Exp Rheumatol, 2006, 24(5):546–554

    PubMed  CAS  Google Scholar 

  9. Rudwaleit M, Yin Z, Siegert S, et al. Response to methotrexate in early rheumatoid arthritis is associated with a decrease of T cell derived tumour necrosis factor increase of interleukin 10, and predicted by the initial concentration of interleukin 4. Ann Rheum Dis, 2000,59(4):311–314

    Article  PubMed  CAS  Google Scholar 

  10. Baraldi E, Carraro S, Giordano G, et al. Metabolomics: moving towards personalized medicine. Ital J Pediatr, 2009,35(1):30

    Article  PubMed  Google Scholar 

  11. Nicholson JK, Lindon JC. Systems biology: Metabonomics. Nature, 2008,455(7216):1054–106

    Article  PubMed  CAS  Google Scholar 

  12. Um SY, Chung MW, Kim KB, et al. Pattern recognition analysis for the prediction of adverse effects by nonsteroidal anti-inflammatory drugs using 1H NMR-based metabolomics in rats. Anal Chem, 2009, 81(12):4734–4741

    Article  PubMed  CAS  Google Scholar 

  13. Lenz EM, Wilson ID. Analytical strategies in metabonomics. J Proteome Res, 2007,6(2): 443–6458

    Article  PubMed  CAS  Google Scholar 

  14. Salvemini D, Mazzon E, Dugo L, et al. Amelioration of joint disease in a rat model of collagen-induced arthritis by M40403, a superoxide dismutase mimetic. Arthritis Rheum, 2001,44(12):2909–2921

    Article  PubMed  CAS  Google Scholar 

  15. Smith RJ, Sly LM. Type II collagen-induced arthritis in the diabetic-resistant biobreeding rat: inflammatory and histopathological features of joint pathology and effects of antiinflammatory and antirheumatic drugs on this chronic arthritic process. J Pharmacol Exp Ther, 1996,277(3): 1801–1813

    PubMed  CAS  Google Scholar 

  16. Brahn E, Banquerigo ML, Firestein G, et al. Collagen induced arthritis: reversal by mercaptoethylguanidine, a novel antiinflammatory agent with a combined mechanism of action. J Rheumatol, 1998,25(9):1785–1793

    PubMed  CAS  Google Scholar 

  17. Ono Y, Inoue M, Mizukami H, et al. Suppressive effect of Kanzo-bushi-to, a Kampo medicine, on collagen-induced arthritis. Biol Pharm Bull, 2004,27(9):1406–1413

    Article  PubMed  CAS  Google Scholar 

  18. Wei L, Liao P, Wu H, et al. Toxicological effects of cinnabar in rats by NMR-based metabolic profiling of urine and serum. Toxicol Appl Pharmaco, 2008,227(3): 417–429

    Article  CAS  Google Scholar 

  19. Jansen JJ, Hoefsloot HC, Boelens HM, et al. Analysis of longitudinal metabolomics data. Bioinformatics, 2004, 20(15): 2438–2446

    Article  PubMed  CAS  Google Scholar 

  20. Chevallier S, Bertrand D, Kohler A, et al. Application of PLS-DA in multivariate image analysis. J Chemometr, 2006,20(5):221–229

    Article  CAS  Google Scholar 

  21. Barker M, Rayens W. Partial least squares for discrimination. J Chemometrics, 2003,17(3):166–173

    Article  CAS  Google Scholar 

  22. Kim SH, Yang SO, Kim HS, et al. 1H-nuclear magnetic resonance spectroscopy-based metabolic assessment in a rat model of obesity induced by a high-fat diet. Anal Bioanal Chem, 2009,395(4):1117–1124

    Article  PubMed  CAS  Google Scholar 

  23. Weljie AM, Dowlatabadi R, Miller BJ, et al. An inflammatory arthritis-associated metabolite biomarker pattern revealed by 1H NMR spectroscopy. J Proteome Res, 2007,6(9):3456–3464

    Article  PubMed  CAS  Google Scholar 

  24. Jurecka A. Inborn errors of purine and pyrimidine metabolism. J Inherit Metab Dis, 2009,32(2):247–263

    Article  PubMed  CAS  Google Scholar 

  25. Rees WD, Wilson FA, Maloney CA. Sulfur amino acid metabolism in pregnancy: the impact of methionine in the maternal diet. J Nutr, 2006,136(6 Suppl):1701–1705

    Google Scholar 

  26. Folate SJ. Vitamin B12 and vitamin B6 and one carbon metabolism. J Nutr Health Aging, 2002,6(1):39–42

    Google Scholar 

  27. Lenz EM, Bright J, Wilson ID, et al. A 1H NMR-based metabonomic study of urine and plasma samples obtained from healthy human subjects. J Pharm Biomed Anal, 2003, 33(5):1103–1115

    Article  PubMed  CAS  Google Scholar 

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Correspondence to Shenghao Tu  (涂胜豪).

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Chen, Z., Tu, S., Hu, Y. et al. Prediction of response of collagen-induced arthritis rats to methotrexate: An 1H-NMR-based urine metabolomic analysis. J. Huazhong Univ. Sci. Technol. [Med. Sci.] 32, 438–443 (2012). https://doi.org/10.1007/s11596-012-0076-9

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  • DOI: https://doi.org/10.1007/s11596-012-0076-9

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