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Physiological and pathological population dynamics of circulating human red blood cells

机译:循环人类红细胞的生理和病理种群动态

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The systems controlling the number, size, and hemoglobin concentrations of populations of human red blood cells (RBCs), and their dysregulation in anemia, are poorly understood. After release from the bone marrow, RBCs undergo reduction in both volume and total hemoglobin content by an unknown mechanism [Lew VL, et al. (1995) Blood 86:334-341; Waugh RE, et al. (1992) Blood 79:1351-1358]; after ~120 d, responding to an unknown trigger, they are removed. We used theory from statistical physics and data from the hospital clinical laboratory [d'Onofrio G, et al. (1995) Blood 85:818-823] to develop a master equation model for RBC maturation and clearance. The model accurately identifies patients with anemia and distinguishes thalassemia-trait anemia from iron-deficiency anemia. Strikingly, it also identifies many pre-anemic patients several weeks before anemia becomes clinically detectable. More generally we illustrate how clinical laboratory data can be used to develop and to test a dynamic model of human path-ophysiology with potential clinical utility.
机译:人们对控制人类红细胞(RBC)的数量,大小和血红蛋白浓度及其在贫血中的失调的系统了解甚少。从骨髓中释放后,红细胞的体积和总血红蛋白含量都会通过未知机制降低[Lew VL等人。 (1995)Blood 86:334-341; Waugh RE等。 (1992)Blood 79:1351-1358]; 〜120天后,响应未知触发,将其删除。我们使用了统计物理学的理论和医院临床实验室的数据[d'Onofrio G等。 (1995)Blood 85:818-823]开发了用于RBC成熟和清除的主方程模型。该模型可准确识别贫血患者,并区分地中海贫血和贫铁性贫血。令人惊讶的是,它还可以在贫血成为临床可检测的几周之前识别出许多贫血前患者。更一般地说,我们说明了如何使用临床实验室数据来开发和测试具有潜在临床效用的人体路径生理学动态模型。

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