Gender, cholinesterase, platelet count and red cell count are main predictors of peripheral blood stem cell mobilization in healthy donors.

BACKGROUND AND OBJECTIVES: Mobilization of CD34+ cells by stimulation with G-CSF shows considerable variation across stem cell donors. Upfront prediction of CD34+ cell counts in peripheral blood based on easily available steady-state parameters would be helpful for the planning of apheresis and stem cell transplantation. Commonly accepted steady-state predictors for the mobilization are gender, body mass index and platelet count. The aim of the study was the identification of novel predictors that might influence mobilization efficacy and to create a model for the prediction of stem cell mobilization. METHODS: A total of 333 healthy stem cell donors who donated peripheral stem cells in our institution were retrospectively analysed. All available data before stem cell mobilization with G-CSF were included in the database. Primary end-point was CD34+ cell count before the first apheresis. RESULTS: In this cohort cholinesterase, differential blood cell counts including platelets, gender and body mass index were significantly correlated with CD34+ cell count. G-CSF dose per lean body weight showed a significant correlation with mobilization efficacy in women but not in men. A multivariate analysis identified gender, cholinesterase and platelet and red cell count as main predictors of mobilization. Red cell count showed a strong gender dependence, with higher predictive value in females. CONCLUSION: The counts of eosinophils, platelets, red cells, cholinesterase and gender are the most important predictors of CD34+ cell mobilization in our deduced models. The red cell count as a predictor for mobilization showed a differential gender dependence.

Mutations to Less-Preferred Synonymous Codons in a Highly Expressed Gene of Escherichia coli: Fitness and Epistatic Interactions.

Codon-tRNA coevolution to maximize protein production has been, until recently, the dominant hypothesis to explain codon-usage bias in highly expressed bacterial genes. Two predictions of this hypothesis are 1) selection is weak; and 2) similar silent replacements at different codons should have similar fitness consequence. We used an allele-replacement strategy to change five specific 3rd-codon-position (silent) sites in the highly expressed Escherichia coli ribosomal protein gene rplQ from the wild type to a less-preferred alternative. We introduced the five mutations within a 10-codon region. Four of the silent sites were chosen to test the second prediction, with a CTG to CTA mutation being introduced at two closely linked leucine codons and an AAA to AAG mutation being introduced at two closely linked lysine codons. We also introduced a fifth silent mutation, a GTG to GTA mutation at a valine codon in the same genic region. We measured the fitness effect of the individual mutations by competing each single-mutant strain against the parental wild-type strain, using a disrupted form of the araA gene as a selectively neutral phenotypic marker to distinguish between strains in direct competition experiments. Three of the silent mutations had a fitness effect of |s| > 0.02, which is contradictory to the prediction that selection will be weak. The two leucine mutations had significantly different fitness effects, as did the two lysine mutations, contradictory to the prediction that similar mutations at different codons should have similar fitness effects. We also constructed a strain carrying all five silent mutations in combination. Its fitness effect was greater than that predicted from the individual fitness values, suggesting that negative synergistic epistasis acts on the combination allele.