Background and Aim: Infliximab has been widely prescribed for treating inflammatory bowel disease (IBD). However, the response rates to infliximab differ among patients. Therefore, we aimed to identify the genetic and clinical markers that predict infliximab response. Methods: A total of 139 Korean patients with IBD who received infliximab were classified according to infliximab response as follows: (i) primary response vs nonresponse and (ii) sustained response vs loss of response. We performed an association study using whole-exome sequencing data to identify genetic variants associated with infliximab response. Candidate variants were validated in 77 German patients with IBD. Stepwise multivariate logistic regression was performed to identify predictors. Results: We found five candidate variants that were associated with primary nonresponse to infliximab (P < 5 × 10−6). Of the five variants, rs2228273 in ZNF133 was validated in German (combined P = 6.49 × 10−7). We also identified the best genetic variant (rs9144, P = 4.60 × 10−6) associated with the loss of infliximab response. In multivariate regression analysis, rs2228273 (P = 2.10 × 10−5), concurrent azathioprine/6-mercaptopurine use, and bodyweight at the first infliximab use (< 50 kg) were associated with primary nonresponse. In addition, the Crohn's disease activity index at the first infliximab use and rs9144 (P = 0.001) were independently associated with the loss of response in patients with Crohn's disease. Conclusions: We identified clinical and genetic markers associated with infliximab response in IBD patients. Our findings could provide insights to maximize the efficacy of infliximab therapy in IBD patients.
|Number of pages||9|
|Journal||Journal of Gastroenterology and Hepatology (Australia)|
|Publication status||Published - 2019 Oct 1|
Bibliographical noteFunding Information:
This research was supported by a grant (16181MFDS446) from the Ministry of Food and Drug Safety in 2016 and the Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education (2018R1A6A3A03011259) (E.S.J.).
All Science Journal Classification (ASJC) codes