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A Novel Method to Identify Autoantibodies against Putative Target Proteins in Serum from beta-Thalassemia Major: A Pilot Study

机译:一种新的方法来鉴定针对来自地中海贫血的血清中推定的靶蛋白的自身抗体:一项先导研究

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摘要

Abnormal immune reactivity in patients with beta-thalassemia (beta-thal) major can be associated with poor prognosis. Immunome protein-array analysis represents a powerful approach to identify novel biomarkers. The Sengenics Immunome Protein Array platform was used for high-throughput quantification of autoantibodies in 12 serum samples collected from nine beta-thal major patients and three non-thalassemia controls, which were run together with two pooled normal sera (Sengenics Internal QC samples). To obtain more accurate and reliable results, the evaluation of the biological relevance of the shortlisted biomarkers was analyzed using an Open Target Platform online database. Elevated autoantibodies directed against 23 autoantigens on the immunome array were identified and analyzed using a penetrance fold change-based bioinformatics method. Understanding the autoantibody profile of beta-thal major patients would help to further understand the pathogenesis of the disease. The identified autoantigens may serve as potential biomarkers for the prognosis of beta-thal major.
机译:重型β地中海贫血患者的免疫反应异常可能与不良预后有关。免疫组蛋白阵列分析是鉴定新型生物标志物的有力方法。 Sengenics免疫组蛋白阵列平台用于高通量定量从9例β-thal严重患者和3例非地中海贫血对照人群中收集的12个血清样品中的自身抗体,这些样品与两个合并的正常血清(Sengenics内部质控样品)一起运行。为了获得更准确和可靠的结果,使用开放目标平台在线数据库分析了入围生物标志物的生物学相关性评估。使用基于外显倍数变化的生物信息学方法鉴定和分析针对免疫组中23种自身抗原的高水平自身抗体。了解β-thal重症患者的自身抗体谱将有助于进一步了解该疾病的发病机理。鉴定出的自身抗原可作为β-thal严重预后的潜在生物标志物。

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