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Association of polymorphisms in C1orf106, IL1RN, and IL10 with post-induction infliximab trough level in Crohn's disease patients.


ABSTRACT: Background:Trough levels of the post-induction serum infliximab (IFX) are associated with short-term and long-term responses of Crohn's disease patients to IFX, but the inter-individual differences are large. We aimed to elucidate whether single gene polymorphisms (SNPs) within FCGR3A, ATG16L1, C1orf106, OSM, OSMR, NF-?B1, IL1RN, and IL10 partially account for these differences and employed a multivariate regression model to predict patients' post-induction IFX levels. Methods:The retrospective study included 189 Crohn's disease patients undergoing IFX therapy. Post-induction IFX levels were measured and 41 tag SNPs within eight genes were genotyped. Associations between SNPs and IFX levels were analysed. Then, a multivariate logistic-regression model was developed to predict whether the patients' IFX levels achieved the threshold of therapy (3??g/mL). Results:Six SNPs (rs7587051, rs143063741, rs442905, rs59457695, rs3213448, and rs3021094) were significantly associated with the post-induction IFX trough level (P?=?0.015, P?

SUBMITTER: Tang J 

PROVIDER: S-EPMC7603865 | biostudies-literature | 2020 Oct

REPOSITORIES: biostudies-literature

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Association of polymorphisms in <i>C1orf106</i>, <i>IL1RN</i>, and <i>IL10</i> with post-induction infliximab trough level in Crohn's disease patients.

Tang Jian J   Zhang Cai-Bin CB   Lyu Kun-Sheng KS   Jin Zhong-Ming ZM   Guan Shao-Xing SX   You Na N   Huang Min M   Wang Xue-Ding XD   Gao Xiang X  

Gastroenterology report 20191029 5


<h4>Background</h4>Trough levels of the post-induction serum infliximab (IFX) are associated with short-term and long-term responses of Crohn's disease patients to IFX, but the inter-individual differences are large. We aimed to elucidate whether single gene polymorphisms (SNPs) within <i>FCGR3A</i>, <i>ATG16L1</i>, <i>C1orf106</i>, <i>OSM</i>, <i>OSMR</i>, <i>NF-κB1</i>, <i>IL1RN</i>, and <i>IL10</i> partially account for these differences and employed a multivariate regression model to predict  ...[more]

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