Molecular signature of methotrexate response among rheumatoid arthritis patients

Background Methotrexate (MTX) is the first line treatment for rheumatoid arthritis (RA), but failure of satisfying treatment response occurs in a significant proportion of patients. Here we present a longitudinal multi-omics study aimed at detecting molecular and cellular processes in peripheral blood associated with a successful methotrexate treatment of rheumatoid arthritis. Methods Eighty newly diagnosed patients with RA underwent clinical assessment and donated blood before initiation of MTX, and 3 months into treatment. Flow cytometry was used to describe cell types and presence of activation markers in peripheral blood, the expression of 51 proteins was measured in serum or plasma, and RNA sequencing was performed in peripheral blood mononuclear cells (PBMC). Response to treatment after 3 months was determined using the EULAR response criteria. We assessed the changes in biological phenotypes during treatment, and whether these changes differed between responders and non-responders with regression analysis. By using measurements from baseline, we also tried to find biomarkers of future MTX response or, alternatively, to predict MTX response. Results Among the MTX responders, (Good or Moderate according to EULAR treatment response classification, n = 60, 75%), we observed changes in 29 partly overlapping cell types proportions, levels of 13 proteins and expression of 38 genes during treatment. These changes were in most cases suppressions that were stronger among responders compared to non-responders. Within responders to treatment, we observed a suppression of FOXP3 gene expression, reduction of immunoglobulin gene expression and suppression of genes involved in cell proliferation. The proportion of many HLA-DR expressing T-cell populations were suppressed in all patients irrespective of clinical response, and the proportion of many IL21R+ T-cells were reduced exclusively in non-responders. Using only the baseline measurements we could not detect any biomarkers or prediction models that could predict response to MTX. Conclusion We conclude that a deep molecular and cellular phenotyping of peripheral blood cells in RA patients treated with methotrexate can reveal previously not recognized differences between responders and non-responders during 3 months of treatment with MTX. This may contribute to the understanding of MTX mode of action and explain non-responsiveness to MTX therapy.

[1]  T. Popkova,et al.  Regulatory T cells in patients with early untreated rheumatoid arthritis: Phenotypic changes in the course of methotrexate treatment. , 2020, Biochimie.

[2]  A. Barton,et al.  Profiling of Gene Expression Biomarkers as a Classifier of Methotrexate Nonresponse in Patients With Rheumatoid Arthritis , 2019, Arthritis & rheumatology.

[3]  R. Morita,et al.  Multi-omics monitoring of drug response in rheumatoid arthritis in pursuit of molecular remission , 2018, Nature Communications.

[4]  M. Weinblatt,et al.  Development of a Molecular Signature to Monitor Pharmacodynamic Responses Mediated by In Vivo Administration of Glucocorticoids , 2018, Arthritis & rheumatology.

[5]  S. Brunak,et al.  Integration of Known DNA, RNA and Protein Biomarkers Provides Prediction of Anti-TNF Response in Rheumatoid Arthritis: Results from the COMBINE Study , 2016, Molecular medicine.

[6]  A. Zajac,et al.  IL-21 and T Cell Differentiation: Consider the Context. , 2016, Trends in immunology.

[7]  Kathleen Marchetti Consider the Context , 2015 .

[8]  I. Sanz,et al.  The number of circulating monocytes as biomarkers of the clinical response to methotrexate in untreated patients with rheumatoid arthritis , 2015, Journal of Translational Medicine.

[9]  P. Riel The development of the disease activity score (DAS) and the disease activity score using 28 joint counts (DAS28). , 2014 .

[10]  E. Choy,et al.  Clinical experience of IL-6 blockade in rheumatic diseases - implications on IL-6 biology and disease pathogenesis. , 2014, Seminars in immunology.

[11]  ShefaliKhanna Sharma,et al.  Change in CXCL10 on treatment with methotrexate similar to that reported with infliximab: comments on the article by Eriksson et al , 2014, Scandinavian journal of rheumatology.

[12]  S. Agewall,et al.  Serum levels of lipoprotein(a) and E-selectin are reduced in rheumatoid arthritis patients treated with methotrexate or methotrexate in combination with TNF-α-inhibitor. , 2013, Clinical and experimental rheumatology.

[13]  P. V. van Riel,et al.  The Disease Activity Score and the EULAR response criteria , 2009 .

[14]  Mark Lunt,et al.  Extended Report , 2022 .

[15]  Lars Klareskog,et al.  Rheumatoid arthritis , 2009, The Lancet.

[16]  I. Rioja,et al.  Potential novel biomarkers of disease activity in rheumatoid arthritis patients: CXCL13, CCL23, transforming growth factor alpha, tumor necrosis factor receptor superfamily member 9, and macrophage colony-stimulating factor. , 2008, Arthritis and rheumatism.

[17]  F. Yamasaki,et al.  Comprehensive analysis of FOXP3 mRNA expression in leukemia and transformed cell lines. , 2008, Leukemia research.

[18]  M. Hegen,et al.  Blockade of the interleukin-21/interleukin-21 receptor pathway ameliorates disease in animal models of rheumatoid arthritis. , 2007, Arthritis and rheumatism.

[19]  T. Huizinga,et al.  Transient expression of FOXP3 in human activated nonregulatory CD4+ T cells , 2007, European journal of immunology.

[20]  A. Gerards,et al.  UvA-DARE ( Digital Academic Repository ) Inhibition of cytokine production by methotrexate . Studies in healthy volunteers and patients with rheumatoid arthritis , 2007 .

[21]  D. Morrison,et al.  Endotoxic-lipopolysaccharide-specific binding proteins on lymphoid cells of various animal species: association with endotoxin susceptibility , 1989, Infection and immunity.

[22]  P. Villiger,et al.  Pretreatment cytokine profiles of peripheral blood mononuclear cells and serum from patients with rheumatoid arthritis in different american college of rheumatology response groups to methotrexate. , 2003, The Journal of rheumatology.

[23]  M. Prevoo,et al.  Development and validation of the European League Against Rheumatism response criteria for rheumatoid arthritis. Comparison with the preliminary American College of Rheumatology and the World Health Organization/International League Against Rheumatism Criteria. , 1996, Arthritis and rheumatism.

[24]  Y. Benjamini,et al.  Controlling the false discovery rate: a practical and powerful approach to multiple testing , 1995 .