Suppr超能文献

肿瘤坏死因子受体相关因子1/补体C5而非蛋白酪氨酸磷酸酶受体C的基因变异是类风湿关节炎对抗肿瘤坏死因子治疗反应的潜在预测指标。

TRAF1/C5 but not PTPRC variants are potential predictors of rheumatoid arthritis response to anti-tumor necrosis factor therapy.

作者信息

Canhão Helena, Rodrigues Ana Maria, Santos Maria José, Carmona-Fernandes Diana, Bettencourt Bruno F, Cui Jing, Rocha Fabiana L, Canas Silva José, Polido-Pereira Joaquim, Pereira Silva José Alberto, Costa José António, Araujo Domingos, Silva Cândida, Santos Helena, Duarte Cátia, Cáliz Rafael, Filipescu Ileana, Pimentel-Santos Fernando, Branco Jaime, Sainz Juan, Plenge Robert M, Solomon Daniel H, Bruges-Armas Jácome, Da Silva José António P, Fonseca João Eurico, Karlson Elizabeth W

机构信息

Rheumatology Research Unit, Instituto de Medicina Molecular, Edifício Egas Moniz, Faculdade de Medicina da Universidade de Lisboa, Avenida Egas Moniz, 1649-028 Lisbon, Portugal ; Rheumatology Department, Hospital de Santa Maria (CHLN), Lisbon Academic Medical Centre, 1649-035 Lisbon, Portugal ; Division of Rheumatology, Allergy and Immunology, Section of Clinical Sciences, Brigham and Women's Hospital, Boston, MA 02115, USA.

Rheumatology Research Unit, Instituto de Medicina Molecular, Edifício Egas Moniz, Faculdade de Medicina da Universidade de Lisboa, Avenida Egas Moniz, 1649-028 Lisbon, Portugal ; Rheumatology Department, Hospital de Santa Maria (CHLN), Lisbon Academic Medical Centre, 1649-035 Lisbon, Portugal.

出版信息

Biomed Res Int. 2015;2015:490295. doi: 10.1155/2015/490295. Epub 2015 Mar 5.

Abstract

BACKGROUND

The aim of our work was to replicate, in a Southern European population, the association reported in Northern populations between PTPRC locus and response to anti-tumor necrosis factor (anti-TNF) treatment in rheumatoid arthritis (RA). We also looked at associations between five RA risk alleles and treatment response.

METHODS

We evaluated associations between anti-TNF treatment responses assessed by DAS28 change and by EULAR response at six months in 383 Portuguese patients. Univariate and multivariate linear and logistic regression analyses were performed. In a second step to confirm our findings, we pooled our population with 265 Spanish patients.

RESULTS

No association was found between PTPRC rs10919563 allele and anti-TNF treatment response, neither in Portuguese modeling for several clinical variables nor in the overall population combining Portuguese and Spanish patients. The minor allele for RA susceptibility, rs3761847 SNP in TRAF1/C5 region, was associated with a poor response in linear and logistic univariate and multivariate regression analyses. No association was observed with the other allellic variants. Results were confirmed in the pooled analysis.

CONCLUSION

This study did not replicate the association between PTPRC and the response to anti-TNF treatment in our Southern European population. We found that TRAF1/C5 risk RA variants potentially influence anti-TNF treatment response.

摘要

背景

我们研究的目的是在南欧人群中复制北欧人群中报道的蛋白酪氨酸磷酸酶受体C(PTPRC)基因座与类风湿关节炎(RA)抗肿瘤坏死因子(抗TNF)治疗反应之间的关联。我们还研究了五个RA风险等位基因与治疗反应之间的关联。

方法

我们评估了383名葡萄牙患者中通过DAS28变化和六个月时的欧洲抗风湿病联盟(EULAR)反应评估的抗TNF治疗反应之间的关联。进行了单变量和多变量线性及逻辑回归分析。在第二步中,为了证实我们的发现,我们将我们的人群与265名西班牙患者合并。

结果

在葡萄牙人群针对几个临床变量的模型中,以及在合并葡萄牙和西班牙患者的总体人群中,均未发现PTPRC rs10919563等位基因与抗TNF治疗反应之间存在关联。RA易感性的次要等位基因,即TRAF1/C5区域中的rs3761847单核苷酸多态性(SNP),在单变量和多变量线性及逻辑回归分析中与不良反应相关。未观察到与其他等位基因变体存在关联。在汇总分析中证实了结果。

结论

本研究未在我们的南欧人群中复制PTPRC与抗TNF治疗反应之间的关联。我们发现TRAF1/C5风险RA变体可能影响抗TNF治疗反应。

相似文献

引用本文的文献

7
TRAF1 Signaling in Human Health and Disease.TRAF1 在人类健康和疾病中的信号转导作用。
Front Immunol. 2018 Dec 18;9:2969. doi: 10.3389/fimmu.2018.02969. eCollection 2018.
8
TRAF molecules in inflammation and inflammatory diseases.炎症和炎性疾病中的肿瘤坏死因子受体相关因子分子
Curr Pharmacol Rep. 2018 Feb;4(1):64-90. doi: 10.1007/s40495-017-0117-y. Epub 2017 Dec 20.

本文引用的文献

5
The pathogenesis of rheumatoid arthritis.类风湿关节炎的发病机制。
N Engl J Med. 2011 Dec 8;365(23):2205-19. doi: 10.1056/NEJMra1004965.

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验