Panleucogating as an accurate and affordable flow cytometric protocol to analyse lymphocyte subsets among HIV-positive patients on HAART treatment in Mozambique.
In Africa tens of millions of people are HIV+. Prevention alone is not effective, and needs to be coupled with anti-retroviral treatment (HAART). Laboratory tests as CD4+ T cell count are fundamental tools in HIV disease monitoring, but they require costly equipment, reagents and specialised manpower. The goal of this study was to minimise and optimise the reagents needed for a reliable routine CD4+ cell count in a resource-poor setting (Mozambique). Panleucogating protocol (PLG), requires two antibodies only, CD45 and CD4, or three if CD8 is requested for special clinical reasons. PLG was compared with the current protocol used in two Mozambique hospitals, based on FSC/SSC gating and CD3/CD4/CD8 staining. 189 samples from HIV+ patients, included in the Community of Sant'Egidio's DREAM program and on HAART were processed with both protocols. The overall correlation of the lymphocyte subsets measurements was satisfactory, with r2 always >0.96. The Bland-Altman analysis of CD4+ cell count showed a negative bias when CD4+ cells were <15%, due to the imprecise FSC/SSC gating used previously. When CD4+ cells were >15% the negative bias tended to zero, further confirming the better quality of the PLG gating strategy. Two- or three color PLG protocol, in double platform, currently seems the most accurate and affordable method to monitor CD4+ lymphocytes and CD4/CD8 ratio by flow cytometry in resource-poor medical settings.
Ceffa
S
S
Department of Oncology, Division of Surgical, Molecular and Ultrastructural Pathology, University of Pisa and Pisa University Hospital, Italy. susannaceffa@hotmail.com
Erba
F
F
Assane
M
M
Coelho
E
E
Calgaro
M
M
Brando
B
B
D023241:Antiretroviral Therapy, Highly Active; D018791:CD4 Lymphocyte Count / Q000191:economics / Q000379:methods* / Q000706:statistics & numerical data; D016516:CD4-CD8 Ratio / Q000191:economics / Q000379:methods / Q000706:statistics & numerical data; D003365:Costs and Cost Analysis; D005434:Flow Cytometry / Q000191:economics / Q000379:methods* / Q000706:statistics & numerical data; D015658:HIV Infections / Q000188:drug therapy* / Q000276:immunology*; D006801:Humans; D007202:Indicators and Reagents; D009073:Mozambique
D007202:Indicators and Reagents