首页> 外文期刊>Blood: The Journal of the American Society of Hematology >Stochastic modeling of human RBC alloimmunization: evidence for a distinct population of immunologic responders.
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Stochastic modeling of human RBC alloimmunization: evidence for a distinct population of immunologic responders.

机译:人类RBC同种免疫的随机模型:独特的免疫应答人群的证据。

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摘要

Red blood cell (RBC) transfusion is unique as a common large-scale intravenous introduction of foreign tissue and provides a valuable opportunity to study human immunologic response to intravenous foreign antigen. Patients receiving RBC transfusions are at risk of forming alloantibodies against donor RBC antigens, and valid estimates of alloimmunization risk are clinically important, but little is known about the factors governing this risk or, more generally, about determinants of human response to intravenous antigen. Here, we mine large electronic patient databases enabling us to model RBC alloimmunization as a stochastic process. We identify a subgroup of transfusion recipients that has a dramatically increased risk of alloimmunization that appears to be genetically determined because it is independent of common disease states, patient age, or the number of alloantibodies already formed, and only weakly dependent on transfusion count.
机译:红血球(RBC)输血是常见的大规模异物组织的静脉内输注的独特方法,为研究人类对静脉内异物抗原的免疫反应提供了宝贵的机会。接受RBC输血的患者有形成针对供体RBC抗原的同种抗体的风险,并且对同种免疫风险的有效估计在临床上很重要,但对于控制这种风险的因素,或更普遍地,对于人类对静脉内抗原反应的决定因素知之甚少。在这里,我们挖掘了大型的电子患者数据库,使我们能够将RBC同种免疫建模为随机过程。我们确定了输血接受者的一个亚组,它的同种免疫风险显着增加,这似乎是由基因决定的,因为它与常见的疾病状态,患者年龄或已经形成的同种抗体数量无关,并且仅微弱地依赖于输血计数。

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