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Single-cell modeling of routine clinical blood tests reveals transient dynamics of human response to blood loss

机译:常规临床血液检测的单细胞建模揭示了人类反应对失血的瞬态动态

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摘要

Low blood count is a fundamental disease state and is often an early sign of illnesses including infection, cancer, and malnutrition, but our understanding of the homeostatic response to blood loss is limited, in part by coarse interpretation of blood measurements. Many common clinical blood tests actually include thousands of single-cell measurements. We present an approach for modeling the unsteady-state population dynamics of the human response to controlled blood loss using these clinical measurements of single-red blood cell (RBC) volume and hemoglobin. We find that the response entails (1) increased production of new RBCs earlier than is currently detectable clinically and (2) a previously unrecognized decreased RBC turnover. Both component responses offset the loss of blood. The model provides a personalized dimensionless ratio that quantifies the balance between increased production and delayed clearance for each individual and may enable earlier detection of both blood loss and the response it elicits.
机译:低血量是一种基本疾病状态,往往是疾病的早期迹象,包括感染,癌症和营养不良,但我们对对血液损失的稳态反应的理解是有限的,部分是血液测量的粗略解释。许多常见的临床血液测试实际上包括成千上万的单细胞测量。我们提出了一种使用这些单红细胞(RBC)体积和血红蛋白的临床测量来建立人类反应的不稳定状态人群动态的方法。我们发现,响应需要(1)早期的新RBC的产量增加到目前临床上的目前可检测到(2)以前未被识别的RBC营业额下降。两个组分响应抵消了血液的损失。该模型提供了个性化的无量纲比率,这些比例量量化了每个人的增加和延迟间隙之间的平衡,并且可以提前检测血液损失和引发的响应。

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