Daehee Hwang¹, Wan-Uk Kim<sup>2

1</sup> Department of New Biology, Daegu Gyeongbuk Institute of Science and Technology (DGIST), 50-1 Sang-Ri, Hyeonpung-Myeon, Dalseong-Gun, Daegu 42988, Republic of Korea; and at the Center for Plant Aging Research, Institute for Basic Science, DGIST, 50-1 Sang-Ri, Hyeonpung-Myeon, Dalseong-Gun, Daegu 42988, Republic of Korea.
² Department of Internal Medicine, The Catholic University of Korea, 222, Seocho-gu, Banpo-daero, Seoul 06591, Republic of Korea; and at the Centre for Integrative Rheumatoid Transcriptomics and Dynamics, The Catholic University of Korea, 222, Seocho-gu, Banpo-daero, Seoul 06591, Republic of Korea.

Correspondence to : Wan-Uk Kim

Although an imbalance between proinflammatory and anti-inflammatory cytokines has been implicated in rheumatoid arthritis (RA), the identification of specific cytokines regulating RA pathophysiology is still challenging. Modelling cytokine signalling networks and evaluating associated pathway activities might facilitate the effective identification of cytokines for treatment and prevention of RA.