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Killer immunoglobulin-like receptor and human leukocyte antigen-C genotypes in rheumatoid arthritis primary responders and non-responders to anti-TNF-α therapy

机译:类风湿关节炎主要反应者和抗TNF-α治疗非反应者中的杀手免疫球蛋白样受体和人类白细胞抗原C基因型

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摘要

The identification of patients who will respond to anti-tumor necrosis factor alpha (anti-TNF-α) therapy will improve the efficacy, safety, and economic impact of these agents. We investigated whether killer cell immunoglobulin-like receptor (KIR) genes are related to response to anti-TNF-α therapy in patients with rheumatoid arthritis (RA). Sixty-four RA patients and 100 healthy controls were genotyped for 16 KIR genes and human leukocyte antigen-C (HLA-C) group 1/2 using polymerase chain reaction sequence-specific oligonucleotide probes (PCR-SSOP). Each patient received anti-TNF-α therapy (adalimumab, etanercept, or infliximab), and clinical responses were evaluated after 3 months using the disease activity score in 28 joints (DAS28). We investigated the correlations between the carriership of KIR genes, HLA-C group 1/2 genes, and clinical data with response to therapy. Patients responding to therapy showed a significantly higher frequency of KIR2DS2/KIR2DL2 (67.7% R vs. 33.3% NR; P = 0.012). A positive clinical outcome was associated with an activating KIR–HLA genotype; KIR2DS2+HLA-C group 1/2 homozygous. Inversely, non-response was associated with the relatively inhibitory KIR2DS2HLA-C group 1/2 heterozygous genotype. The KIR and HLA-C genotype of an RA patient may provide predictive information for response to anti-TNF-α therapy.
机译:确定将对抗肿瘤坏死因子α(anti-TNF-α)治疗有反应的患者将提高这些药物的疗效,安全性和经济影响。我们调查了类风湿关节炎(RA)患者中杀伤细胞免疫球蛋白样受体(KIR)基因是否与抗TNF-α治疗的反应相关。使用聚合酶链反应序列特异性寡核苷酸探针(PCR-SSOP)对64位RA患者和100位健康对照的16个KIR基因和人类白细胞抗原C(HLA-C)组1/2进行基因分型。每位患者接受抗TNF-α治疗(阿达木单抗,依那西普或英夫利昔单抗),并在3个月后使用28个关节的疾病活动评分(DAS28)评估临床反应。我们调查了KIR基因,HLA-C组1/2基因的携带者与临床数据与治疗反应之间的相关性。对治疗有反应的患者显示出KIR2DS2 / KIR2DL2的发生频率明显更高(R为67.7%,NR为33.3%; P = 0.012)。积极的临床结果与激活的KIR-HLA基因型有关。 KIR2DS2 + HLA-C组1/2纯合。相反,无应答与相对抑制性的KIR2DS2 HLA-C组1/2杂合基因型相关。 RA患者的KIR和HLA-C基因型可为抗TNF-α治疗的反应提供预测信息。

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