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精神分裂症中 SNP 与免疫相关循环蛋白的相关性。

Associations between SNPs and immune-related circulating proteins in schizophrenia.

机构信息

Department of Chemical Engineering and Biotechnology, University of Cambridge, Cambridge, United Kingdom.

Institute of Human Genetics, University of Bonn School of Medicine & University Hospital Bonn, Sigmund-Freud-Strasse 25, D-53127, Bonn, Germany.

出版信息

Sci Rep. 2017 Oct 3;7(1):12586. doi: 10.1038/s41598-017-12986-0.

DOI:10.1038/s41598-017-12986-0
PMID:28974776
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5626704/
Abstract

Genome-wide association studies (GWAS) and proteomic studies have provided convincing evidence implicating alterations in immune/inflammatory processes in schizophrenia. However, despite the convergence of evidence, direct links between the genetic and proteomic findings are still lacking for schizophrenia. We investigated associations between single nucleotide polymorphisms (SNPs) from the custom-made PsychArray and the expression levels of 190 multiplex immunoassay profiled serum proteins in 149 schizophrenia patients and 198 matched controls. We identified associations between 81 SNPs and 29 proteins, primarily involved in immune/inflammation responses. Significant SNPxDiagnosis interactions were identified for eight serum proteins including Factor-VII[rs555212], Alpha-1-Antitrypsin[rs11846959], Interferon-Gamma Induced Protein 10[rs4256246] and von-Willebrand-Factor[rs12829220] in the control group; Chromogranin-A[rs9658644], Cystatin-C[rs2424577] and Vitamin K-Dependent Protein S[rs6123] in the schizophrenia group; Interleukin-6 receptor[rs7553796] in both the control and schizophrenia groups. These results suggested that the effect of these SNPs on expression of the respective proteins varies with diagnosis. The combination of patient-specific genetic information with blood biomarker data opens a novel approach to investigate disease mechanisms in schizophrenia and other psychiatric disorders. Our findings not only suggest that blood protein expression is influenced by polymorphisms in the corresponding gene, but also that the effect of certain SNPs on expression of proteins can vary with diagnosis.

摘要

全基因组关联研究 (GWAS) 和蛋白质组学研究为精神分裂症中免疫/炎症过程的改变提供了令人信服的证据。然而,尽管证据趋同,但精神分裂症的遗传和蛋白质组学发现之间仍然缺乏直接联系。我们研究了定制的 PsychArray 中的单核苷酸多态性 (SNP) 与 149 例精神分裂症患者和 198 例匹配对照者的 190 种多重免疫测定血清蛋白表达水平之间的关联。我们确定了 81 个 SNP 和 29 个蛋白之间的关联,这些蛋白主要涉及免疫/炎症反应。在对照组中,有 8 种血清蛋白包括因子 VII [rs555212]、α-1-抗胰蛋白酶 [rs11846959]、干扰素-γ诱导蛋白 10 [rs4256246] 和血管性血友病因子 [rs12829220],在对照组中发现了 81 个 SNP 和 29 个蛋白之间的显著 SNPx 诊断相互作用;在精神分裂症组中,发现了嗜铬粒蛋白 A [rs9658644]、胱抑素 C [rs2424577] 和维生素 K 依赖性蛋白 S [rs6123];在对照组和精神分裂症组中均发现了白细胞介素 6 受体 [rs7553796]。这些结果表明,这些 SNP 对相应蛋白表达的影响随诊断而变化。将患者特定的遗传信息与血液生物标志物数据相结合,为研究精神分裂症和其他精神障碍的疾病机制开辟了新途径。我们的研究结果不仅表明血液蛋白表达受到相应基因中多态性的影响,而且某些 SNP 对蛋白表达的影响也可能随诊断而变化。

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