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本文引用的文献

1
Therapeutic Drug Monitoring During Induction of Anti-Tumor Necrosis Factor Therapy in Inflammatory Bowel Disease: Defining a Therapeutic Drug Window.在炎症性肠病中诱导抗肿瘤坏死因子治疗期间的治疗药物监测:定义治疗药物窗口。
Inflamm Bowel Dis. 2017 Sep;23(9):1510-1515. doi: 10.1097/MIB.0000000000001231.
2
Genome-wide association study implicates immune activation of multiple integrin genes in inflammatory bowel disease.全基因组关联研究表明多种整合素基因的免疫激活与炎症性肠病有关。
Nat Genet. 2017 Feb;49(2):256-261. doi: 10.1038/ng.3760. Epub 2017 Jan 9.
3
Up-Regulation of Transient Receptor Potential Melastatin 6 Channel Expression by Tumor Necrosis Factor-α in the Presence of Epidermal Growth Factor Receptor Tyrosine Kinase Inhibitor.表皮生长因子受体酪氨酸激酶抑制剂存在时,肿瘤坏死因子-α对瞬时受体电位 melastatin 6 通道表达的上调。
J Cell Physiol. 2017 Oct;232(10):2841-2850. doi: 10.1002/jcp.25709. Epub 2017 Apr 25.
4
Predicting durable response or resistance to antitumor necrosis factor therapy in inflammatory bowel disease.预测炎症性肠病对抗肿瘤坏死因子治疗的持久反应或耐药性。
Therap Adv Gastroenterol. 2016 Jul;9(4):513-26. doi: 10.1177/1756283X16638833. Epub 2016 Apr 1.
5
Ozanimod Induction and Maintenance Treatment for Ulcerative Colitis.奥扎莫德诱导和维持治疗溃疡性结肠炎。
N Engl J Med. 2016 May 5;374(18):1754-62. doi: 10.1056/NEJMoa1513248.
6
Sphingosine-1-phosphate in inflammatory bowel disease and colitis-associated colon cancer: the fat's in the fire.鞘氨醇-1-磷酸在炎症性肠病和结肠炎相关结肠癌中的作用:火上浇油。
Transl Cancer Res. 2015 Oct 1;4(5):469-483. doi: 10.3978/j.issn.2218-676X.2015.10.06.
7
Role of Tumor Necrosis Factor Superfamily in Neuroinflammation and Autoimmunity.肿瘤坏死因子超家族在神经炎症和自身免疫中的作用。
Front Immunol. 2015 Jul 20;6:364. doi: 10.3389/fimmu.2015.00364. eCollection 2015.
8
Association between TNF-α (-308 A/G, -238 A/G, -857 C/T) polymorphisms and responsiveness to TNF-α blockers in spondyloarthropathy, psoriasis and Crohn's disease: a meta-analysis.肿瘤坏死因子-α(-308 A/G、-238 A/G、-857 C/T)基因多态性与脊柱关节病、银屑病和克罗恩病中肿瘤坏死因子-α阻滞剂反应性之间的关联:一项荟萃分析。
Pharmacogenomics. 2015;16(12):1427-37. doi: 10.2217/pgs.15.90. Epub 2015 Aug 5.
9
Genetics of autoimmune diseases: insights from population genetics.自身免疫性疾病的遗传学:群体遗传学的见解
J Hum Genet. 2015 Nov;60(11):657-64. doi: 10.1038/jhg.2015.94. Epub 2015 Jul 30.
10
Association analyses identify 38 susceptibility loci for inflammatory bowel disease and highlight shared genetic risk across populations.关联分析确定了38个炎症性肠病的易感基因座,并突出了不同人群间共有的遗传风险。
Nat Genet. 2015 Sep;47(9):979-986. doi: 10.1038/ng.3359. Epub 2015 Jul 20.

新型遗传风险变异可预测炎症性肠病患者对 TNF 拮抗剂的反应。

Novel Genetic Risk Variants Can Predict Anti-TNF Agent Response in Patients With Inflammatory Bowel Disease.

机构信息

Division of Gastroenterology and Hepatology, Mayo Clinic, Jacksonville, FL, USA.

Division of Gastroenterology and Hepatology, Mayo Clinic, Rochester, MN, USA.

出版信息

J Crohns Colitis. 2019 Aug 14;13(8):1036-1043. doi: 10.1093/ecco-jcc/jjz017.

DOI:10.1093/ecco-jcc/jjz017
PMID:30689765
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7185197/
Abstract

BACKGROUND

It is important to identify patients with inflammatory bowel disease [IBD] refractory to anti-tumour necrosis factor [TNF] therapy, to avoid potential adverse effects and to adopt different treatment strategies. We aimed to identify and validate clinical and genetic factors to predict anti-TNF response in patients with IBD.

MATERIALS AND METHODS

Mayo Clinic and Washington University IBD genetic association study cohorts were used as discovery and replicate datasets, respectively. Clinical factors included sex, age at diagnosis, disease duration and phenotype, disease location, bowel resection, tobacco use, family history of IBD, extraintestinal manifestations, and response to anti-TNF therapy.

RESULTS

Of 474 patients with IBD treated with anti-TNF therapy, 41 [8.7%] were refractory to therapy and 433 [91.3%] had response. Multivariate analysis showed history of immunomodulator use (odds ratio 10.2, p = 8.73E-4) and bowel resection (odds ratio 3.24, p = 4.38E-4) were associated with refractory response to anti-TNF agents. Among genetic loci, two [rs116724455 in TNFSF4/18, rs2228416 in PLIN2] were successfully replicated and another four [rs762787, rs9572250, rs144256942, rs523781] with suggestive evidence were found. An exploratory risk model predictability [area under the curve] increased from 0.72 [clinical predictors] to 0.89 after adding genetic predictors. Through identified clinical and genetic predictors, we constructed a preliminary anti-TNF refractory score to differentiate anti-TNF non-responders (mean [standard deviation] score, 5.49 [0.99]) from responders (2.65 [0.39]; p = 4.33E-23).

CONCLUSIONS

Novel and validated genetic loci, including variants in TNFSF, were found associated with anti-TNF response in patients with IBD. Future validation of the exploratory risk model in a large prospective cohort is warranted.

摘要

背景

识别出对肿瘤坏死因子(TNF)治疗无反应的炎症性肠病(IBD)患者非常重要,以避免潜在的不良反应并采取不同的治疗策略。本研究旨在确定和验证临床和遗传因素,以预测 IBD 患者对 TNF 拮抗剂的反应。

材料和方法

分别使用 Mayo 诊所和华盛顿大学的 IBD 遗传关联研究队列作为发现和复制数据集。临床因素包括性别、诊断时年龄、疾病持续时间和表型、疾病部位、肠切除术、吸烟史、IBD 家族史、肠外表现和对 TNF 拮抗剂的反应。

结果

在接受 TNF 拮抗剂治疗的 474 例 IBD 患者中,41 例(8.7%)对治疗无反应,433 例(91.3%)有反应。多变量分析显示,免疫调节剂的使用史(比值比 10.2,p=8.73E-4)和肠切除术(比值比 3.24,p=4.38E-4)与对 TNF 拮抗剂的无反应相关。在遗传位点中,两个[rs116724455 在 TNFSF4/18,rs2228416 在 PLIN2]成功复制,另外四个[rs762787,rs9572250,rs144256942,rs523781]有提示性证据。探索性风险模型预测能力[曲线下面积]从添加遗传预测因子前的 0.72(临床预测因子)增加到 0.89。通过确定的临床和遗传预测因子,我们构建了一个初步的 TNF 拮抗剂无反应评分,以区分 TNF 拮抗剂无反应者(平均[标准差]评分,5.49[0.99])和反应者(2.65[0.39];p=4.33E-23)。

结论

发现了新的且经过验证的遗传位点,包括 TNF 相关基因中的变异,与 IBD 患者对 TNF 拮抗剂的反应相关。未来需要在大型前瞻性队列中验证探索性风险模型。