title: Mechanism of red blood cell aging: relationship of cell density and cell age.
abstract: The human red cell has a life span of 120 days. The mechanism that determines cell removal from the circulation with such precision remains unknown. Most studies of red cell aging have been based on analysis of cells of progressively increasing age separated by density. The relationship between red cell age and density has been recently challenged, and the hypothesis has been put forward that cell death is not the result of a progressive deterioration of essential cell constituents. This theory was based on preliminary observations in transient erythroblastopenia of childhood, which could not later be confirmed. When the relationship between cell aging and increasing density is critically reviewed, it appears to be based on firm experimental evidence, confirmed by in vivo demonstration of decreasing survival of cells of increasing age. Analysis of studies using buoyant density gradients reveals that this technique can easily distinguish the single exponential slope of decline for those cell components that change progressively throughout the red cell life span from the biphasic decline of those that decrease drastically at the reticulocyte-mature red cell transition. The view that the aging of the red cell and its removal from the circulation result from a progressive series of events during the 120 days of its life span appears to be the most consistent with the available data. Density separation, validated by much experimental evidence, remains a most useful technique for the study of the mechanism of aging of the red cell.
authors.affiliation: Division of Pediatric Hematology/Oncology, Columbia University College of Physicians and Surgeons, New York.
authors.forename: S
authors.initials: S
authors.lastname: Piomelli
authors.forename: C
authors.initials: C
authors.lastname: Seaman
mesh_terms: D000818:Animals; D004905:Erythrocyte Aging; D004906:Erythrocyte Count; D004912:Erythrocytes / Q000378:metabolism; D006801:Humans; D008954:Models, Biological