Blood autoantibody and cytokine profiles predict response to anti-tumor necrosis factor therapy in rheumatoid arthritis
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* Corresponding author: Wolfgang Hueber whueber@stanford.edu
1 Department of Medicine, Division of Immunology & Rheumatology, Stanford University, 269 Campus Drive, mail code 5166, Stanford, CA 94305, USA
2 GRECC, VA Palo Alto Health Care Systems, 3801 Miranda Ave, mailstop 154R, Palo Alto, CA 94304, USA
3 Feinstein Institute of Medical Research, North Shore LIJ Health System, 350 Community Drive, Manhasset, NY 11030, USA
4 Joslin Diabetes Center, One Joslin Place, Boston, MA 02215, USA
5 Brigham and Women's Hospital, 75 Francis Street, Boston, MA 02115 USA
6 Department of Statistics, 390 Serra Mall, Stanford University, Stanford, CA 94305, USA
7 Karolinska Institutet, Building D2:02, SE-171 76 Stockholm, Sweden
8 First Department of Internal Medicine, University of Occupational & Environmental Health, 1-1 Iseigaoka, Yahata-nishi, Kitakyushu 807-8555, Japan
Arthritis Research & Therapy 2009, 11:R76 doi:10.1186/ar2706
Published: 21 May 2009Additional files
Additional data file 1:
Excel file containing a table that summarizes the clinical characteristics of the Japanese cohort, including co-medications.
Format: XLS Size: 19KB Download file
This file can be viewed with: Microsoft Excel Viewer
Additional data file 2:
Adobe Illustrator file containing a figure that shows the analysis of microarray reactivities by conventional ELISA. Array-determined digital fluorescence units (arrayFU) are plotted on the x axis and optical density values are plotted on the y axis. Coefficients of linear regression analysis (R2) are shown for each peptide.
Format: PDF Size: 231KB Download file
This file can be viewed with: Adobe Acrobat Reader
Additional data file 3:
Adobe Illustrator file containing a figure that demonstrates logistic regression analysis of the six other cytokines not shown in Figure 4. See Figure 4 for details.
Format: PDF Size: 348KB Download file
This file can be viewed with: Adobe Acrobat Reader
