Table 2.
Ingenuity pathway analysis (IPA)
Top canonical pathways | ||
Name | p value | Overlap |
Altered T cell and B cell signalling in rheumatoid arthritis | 1.41E− 10 | 17.3%, 14/81 |
TREM1 signalling | 2.53E− 10 | 18.6%, 13/70 |
Dendritic cell maturation | 5.68E− 08 | 9.5%, 16/169 |
Allograft rejection signalling | 1.39E− 07 | 18.8%, 9/48 |
Communication between innate and adaptive immune cells | 2.06E− 07 | 13.4%, 11/82 |
Top upstream regulators | ||
Upstream regulator | p value of overlap | |
TGM2 | 4.66E− 15 | |
CEBPA | 1.16E− 08 | |
CSF2 | 1.70E− 08 | |
TNF | 1.53E− 06 | |
IRF4 | 2.33E− 06 | |
Top diseases and disorders | ||
Name | p value | Molecules |
Immunological disease | 6.30E− 03 to 1.20E− 22 | 151 |
Connective tissue disorders | 5.32E− 03 to 3.31E− 21 | 81 |
Inflammatory disease | 6.18E− 03 to 3.31E− 21 | 116 |
Skeletal and muscular disorders | 5.32E− 03 to 3.31E− 21 | 106 |
Infectious diseases | 5.76E− 03 to 5.84E− 20 | 76 |
Top molecular and cell functions | ||
Name | p value | Molecules |
Cell-to-cell signalling and interaction | 6.18E− 03 to 1.99E− 14 | 100 |
Cell death and survival | 7.09E− 03 to 3.79E− 10 | 97 |
Cellular movement | 6.44E− 03 to 4.26E− 10 | 55 |
Cellular development | 6.48E− 03 to 5.54E− 10 | 49 |
Cellular growth and proliferation | 6.18E− 03 to 5.54E− 10 | 84 |
Top physiological system development and function | ||
Name | p value | Molecules |
Haematological system development and function | 6.48E− 03 to 6.44E− 13 | 72 |
Immune cell trafficking | 6.18E− 03 to 6.44E− 13 | 47 |
Embryonic development | 1.86E− 05 to 1.86E− 05 | 4 |
Haematopoiesis | 6.48E− 03 to 2.86E− 05 | 24 |
Hair and skin development and function | 6.18E− 03 to 4.26E− 05 | 10 |
The differentially expressed genes in adalimumab good-responders (baseline versus 3 months) were analysed using Ingenuity Pathway Analysis (IPA) software. The top associated terms for the output themes, which were either up- or downregulated, are presented with associated p values. The table also displays the number of molecules, or the number of differentially expressed transcripts within the dataset associated with each term