Semiparametric modeling of labeled-cell kinetics, with application to isotope labeling of erythrocytes

Biometrics. 2002 Dec;58(4):937-45. doi: 10.1111/j.0006-341x.2002.00937.x.

Abstract

We propose a stochastic model for the kinetics of cells that have been tagged with a chemical label. The proposed model consists of two components: a parametrically specified distribution for the time to incorporation of the label into the cells and a nonparametric survival function reflecting the survival time of the label-cell combination. The target quantity of this modeling approach is the fraction of labeled cells among all cells, viewed as a function of time. Longitudinal measurements of this labeled-cell fraction are available from a recent experiment with folate-labeled red blood cells. The proposed semiparametric model is fitted to these data and some of the implications are explored. The proposed method also includes bootstrap-based inference.

Publication types

  • Research Support, U.S. Gov't, Non-P.H.S.
  • Research Support, U.S. Gov't, P.H.S.

MeSH terms

  • Carbon Radioisotopes / pharmacokinetics
  • Erythrocyte Aging / physiology
  • Erythrocytes / cytology
  • Erythrocytes / metabolism*
  • Folic Acid / pharmacokinetics
  • Humans
  • Isotope Labeling / methods*
  • Kinetics
  • Male
  • Models, Biological*
  • Models, Statistical*
  • Stochastic Processes*

Substances

  • Carbon Radioisotopes
  • Folic Acid