首页> 美国卫生研究院文献>Journal of Personalized Medicine >Predictive Genetic Variations in the Kynurenine Pathway for Interferon-α-Induced Depression in Patients with Hepatitis C Viral Infection
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Predictive Genetic Variations in the Kynurenine Pathway for Interferon-α-Induced Depression in Patients with Hepatitis C Viral Infection

机译:丙型肝炎病毒感染患者干扰素-α诱导抑郁症的预测遗传变异

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摘要

Importance: The high incidence of major depressive episodes during interferon-α (IFN-α) therapy is considered the most powerful supportive evidence for the inflammation theory of depression. As the kynurenine pathway plays an important role connecting inflammation and depression, it is plausible to investigate this pathway for predictive genetic markers for IFN-α-induced depression. Methods: In this prospective case-control study, we assessed 291 patients with chronic hepatitis C viral infection taking IFN-α therapy and analyzed the single nucleotide polymorphisms (SNPs) in genes in the kynurenine pathway. Our case group contained patients who developed IFN-α-induced depression during the treatment, and others were defined as the control group. Genomic DNA was extracted from leukocytes in the peripheral blood and analyzed by Affymetrix TWB array. We first tested allelic, dominant, and recessive models on each of our SNPs using Fisher’s exact test. We then conducted 5000 gene-wide max(T) permutations based on the best model of each SNP to provide strong gene-wide family-wise error rate control. Finally, we preformed logistic regression for the significant SNPs acquired in previous procedures, with sex and education level as covariates to build predictive models. Additional haplotype analyses were conducted with Haploview 4.2 to investigate the combining effect of multiple significant SNPs within a gene. Results: With sex and education level as covariates, rs8082252 (p = 0.0015, odds ratio = 2.716), rs8082142 (p = 0.0031, odds ratio = 2.499) in arylformamidase (AFMID), and rs12477181 (p = 0.0004, odds ratio = 0.3478) in kynureninase (KYNU) were significant in logistic regression models with dominant modes of inheritance. Haplotype analyses showed the two significant SNPs in AFMID to be in the same haploblock and highly correlated (r2 = 0.99). There were two significant haplotypes (by the sequence of rs8082252, rs8082142): AT (χ2 = 7.734, p = 0.0054) and GC (χ2 = 6.874, p = 0.0087). Conclusions: This study provided supportive evidence of the involvement of the kynurenine pathway in IFN-α-induced depression. SNPs in this pathway were also predictive of this disease.
机译:重要性:干扰素-α(IFN-α)治疗期间主要抑郁发作的高发病率被认为是抑郁症炎症理论的最强大的支持性证据。随着Kynurenine途径起到连接炎症和抑制的重要作用,可以探讨用于IFN-α诱导的抑郁症的预测遗传标志物的这种途径是合理的。方法:在这项前瞻性病例对照研究中,我们评估了291例慢性丙型肝炎病毒感染患者,服用IFN-α治疗,并分析了Kynurenine途径中的单一核苷酸多态性(SNP)。我们的案例组含有在治疗过程中开发IFN-α诱导的抑郁症的患者,其他患者被定义为对照组。基因组DNA从外周血中的白细胞中提取,并通过Affymetrix TWB阵列分析。我们首先使用Fisher的确切测试测试每个SNP上的等位基因,主导和隐性模型。然后,我们基于每个SNP的最佳模型进行5000个基因 - 宽最大(T)排列,以提供强基因宽的家庭明智的错误率控制。最后,我们预先形成了在先前程序中获得的重要SNP的逻辑回归,性别和教育水平作为构建预测模型的协变量。用HaploView 4.2进行额外的单倍型分析,以研究多个有效SNP在基因内的组合效果。结果:性别和教育水平作为协变量,RS8082252(p = 0.0015,差距= 2.716),Rs8082142(P = 0.0031,odds比率= 2.499),rs1247181(P = 0.0004,差距= 0.3478 )在Kynureninase(Kynu)中是在具有主要遗传模式的逻辑回归模型中显着。单倍型分析显示在AFMID中的两个重要的SNP,在同一HAPLOOCK和高度相关(R2 = 0.99)中。有两种重要的单倍型(通过RS8082252,RS8082142的序列):AT(χ2= 7.734,p = 0.0054)和GC(χ2= 6.874,P = 0.0087)。结论:本研究提供了对IFN-α诱导的抑郁症犬素碱途径参与的支持性证据。该途径中的SNP也预测了这种疾病。

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