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A Semi-automated Approach to Preparing Antibody Cocktails for Immunophenotypic Analysis of Human Peripheral Blood
Published on: February 8, 2016
Evaluation of a single-platform technology for lymphocyte immunophenotyping.
Jeanette Higgins1, Valerie Hill, Karen Lau
1AIDS Monitoring Laboratory, Clinical Services program, SAIC-Frederick, Inc., NCI-Frederick, Frederick, MD 21702, USA. jhiggins@mail.nih.gov
Clinical and Vaccine Immunology : CVI
|September 1, 2007
Summary
Single-platform technology (SPT) and dual-platform technology (DPT) show excellent agreement for absolute CD4 counts. However, SPT methods demonstrate poor correlation for certain T-cell subset measurements in HIV monitoring.
Area of Science:
- Immunology
- Virology
- Clinical Diagnostics
Background:
- Accurate CD4 counts are crucial for managing HIV infection.
- Interlaboratory variation in CD4 counts necessitates reliable measurement methods.
- Single-platform technology (SPT) was developed to improve CD4 count reproducibility.
Purpose of the Study:
- To compare the performance of dual-platform technology (DPT) with a specific SPT method (BD Trucount).
- To assess the correlation of both methods for absolute CD4 counts and various T-cell subsets.
Main Methods:
- Comparative analysis of CD4 counts and T-cell subsets using DPT and SPT.
- Statistical correlation analysis (Pearson correlation coefficient) was performed.
Main Results:
- Very good correlation was observed for CD4 percentages (r=0.986) and absolute CD4 counts (r=0.960) between DPT and SPT.
- Poor correlation was found for several T-cell subsets, including CD8(+) RO(-), CD8(+) DR(+), CD3(+) CD38(+), CD3(+) CD25(+), and CD4(+) CD38(+) measurements.
Conclusions:
- SPT, specifically the BD Trucount method, offers excellent agreement with DPT for absolute CD4 counts.
- Discrepancies in T-cell subset measurements between SPT and DPT warrant further investigation for accurate HIV patient management.
