A Modified Ficoll-Paque Gradient Method for Isolating Mononuclear Cells from the Peripheral and Umbilical Cord Blood of Humans for Biobanks and Clinical Laboratories

Although the Ficoll-Paque method is classically used to isolate peripheral blood mononuclear cells (PBMCs), modifications in this method are required for a more rapid and economic output for biobanks and clinical laboratories, particularly in developing countries. In this study, we addressed this issue by modifying the Ficoll-Paque method for the isolation of PBMCs or mononuclear cells from the peripheral and the umbilical cord blood of healthy and diseased (infected, anemic, and chronic obstructive pulmonary disease) adult individuals. In the modified method, we initiated the cell isolation process from the buffy coat layer, which appears in the interface between the plasma and sediments after centrifugation, instead of using the whole blood as described in the classic method. Although the PBMC yield by the modified method was about 12% less than in the classic method, the number of PBMCs isolated by the modified method was more than one million, which is enough for different research/diagnostic purposes, such as multi-omics detection. Assessment of cell viability and purity by hematology analyzer and trypan blue showed no significant difference between the viability and purity of the PBMCs isolated by these two methods in almost all groups, except samples from the infected and cord blood groups, where lower PBMC purity with higher granulocyte contamination were observed. In addition, at delayed processing time points, all parameters for the two methods were decreased in a time-dependent manner, especially at 8, 12, or 24 hours after the sample collection. In summary, the performance of PBMC isolation by the classic and modified methods mainly relies on the PBMC ratio in original samples. The modified method could be preferred for PBMC isolation because of its time and cost savings, especially for the biobanks and clinical laboratories in developing countries.