Review article: predictors of response to vedolizumab and ustekinumab in inflammatory bowel disease

维多利祖马布 乌斯特基努马 医学 克罗恩病 炎症性肠病 溃疡性结肠炎 疾病 纳塔利祖玛 免疫学 内科学 阿达木单抗
作者
Annick Barre,Jean‐Frédéric Colombel,Ryan C. Ungaro
出处
期刊:Alimentary Pharmacology & Therapeutics [Wiley]
卷期号:47 (7): 896-905 被引量:122
标识
DOI:10.1111/apt.14550
摘要

Summary Background Increased knowledge of pathways involved in the pathogenesis of IBD has led to the development of new treatment options for Crohn's disease (CD) and ulcerative colitis (UC). Two new biological agents have been recently approved for IBD: vedolizumab and ustekinumab. They have different therapeutic targets (α 4 β 7 integrin for vedolizumab and interleukin‐12/23 pathways for ustekinumab) than the primary biological class, anti‐tumour necrosis factor alpha (anti‐TNF) agents. As the armamentarium for IBD increases in coming years, it will become important to understand factors associated with response in order to best position and personalise therapy. Aim To summarise the current data on predictors of response to vedolizumab and ustekinumab in IBD patients. Methods We conducted a comprehensive literature review. A PubMed search was performed using pre‐defined key words and terms to identify relevant studies on predictors of response. Results Patients with severe disease (by clinical activity and inflammatory biomarkers), or prior anti‐ TNF exposure are less likely to respond to vedolizumab. Ileocolonic disease, no prior surgery and uncomplicated phenotype were associated with better responses to ustekinumab in CD . Initial response seems to predict a better long‐term maintenance in both therapies ( P < 0.001). Contrary to anti‐TNF therapies, immunogenicity appears to play less of a role in response. Conclusion As the number of new biological therapies increase in IBD, identifying patients who are most likely to benefit from specific agents is of paramount importance to help best position IBD therapies.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
cdercder应助啦啦啦采纳,获得10
刚刚
刚刚
刚刚
清楚完成签到,获得积分10
刚刚
刚刚
顾易完成签到,获得积分10
刚刚
刚刚
tianruiyi完成签到,获得积分10
1秒前
gengfu完成签到,获得积分10
1秒前
黑猫警长发布了新的文献求助10
1秒前
1秒前
桐桐应助飞云之下采纳,获得10
1秒前
cxm完成签到,获得积分10
2秒前
2秒前
桐桐应助Li采纳,获得10
2秒前
tianruiyi发布了新的文献求助10
3秒前
学术疯子发布了新的文献求助10
3秒前
典雅枫完成签到,获得积分10
4秒前
打打应助酷酷从凝采纳,获得10
4秒前
orixero应助nano采纳,获得10
5秒前
zyjx发布了新的文献求助10
5秒前
研究生完成签到 ,获得积分10
5秒前
务实凡灵发布了新的文献求助10
6秒前
6秒前
凉空气完成签到,获得积分10
6秒前
科研完成签到,获得积分10
6秒前
搞怪绿柳完成签到,获得积分20
7秒前
大大彬发布了新的文献求助10
7秒前
8秒前
桃子清乌龙关注了科研通微信公众号
8秒前
wangjing发布了新的文献求助10
8秒前
Amy发布了新的文献求助10
9秒前
等等完成签到,获得积分10
9秒前
insissst发布了新的文献求助10
9秒前
9秒前
Magali应助Aaa_12012采纳,获得30
10秒前
科目三应助揭谛采纳,获得10
10秒前
10秒前
花开富贵完成签到,获得积分10
10秒前
HZC发布了新的文献求助10
10秒前
高分求助中
All the Birds of the World 4000
Production Logging: Theoretical and Interpretive Elements 3000
Les Mantodea de Guyane Insecta, Polyneoptera 2000
Machine Learning Methods in Geoscience 1000
Resilience of a Nation: A History of the Military in Rwanda 888
Essentials of Performance Analysis in Sport 500
Measure Mean Linear Intercept 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 物理 生物化学 纳米技术 计算机科学 化学工程 内科学 复合材料 物理化学 电极 遗传学 量子力学 基因 冶金 催化作用
热门帖子
关注 科研通微信公众号,转发送积分 3729900
求助须知:如何正确求助?哪些是违规求助? 3274756
关于积分的说明 9988621
捐赠科研通 2990154
什么是DOI,文献DOI怎么找? 1640914
邀请新用户注册赠送积分活动 779488
科研通“疑难数据库(出版商)”最低求助积分说明 748235