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Single-platform, volumetric, CD45-assisted pan-leucogating flow cytometry for CD4 T lymphocytes monitoring of HIV infection according to the WHO recommendations for resource-constrained settings
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  • 作者：Donato Koyalta (2)
    Mohammad-Ali Jenabian (3)
    Ngamasra Nadjiouroum (4)
    Barou Djouater (5)
    No?l Djemadji-Oudjeil (6)
    Angélique Ndjoyi-Mbiguino (7)
    Laurent Bélec (8)
  • 关键词：Flow cytometry ; CD4 T cell count ; Pan ; leucogating ; CD45 ; Sub ; Saharan Africa ; Chad
  • 刊名：BMC Research Notes
  • 出版年：2013
  • 出版时间：December 2013
  • 年：2013
  • 卷：6
  • 期：1
  • 全文大小：483KB
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  • 作者单位：Donato Koyalta (2)
    Mohammad-Ali Jenabian (3)
    Ngamasra Nadjiouroum (4)
    Barou Djouater (5)
    No?l Djemadji-Oudjeil (6)
    Angélique Ndjoyi-Mbiguino (7)
    Laurent Bélec (8)

    2. Ministère de la Santé Publique, N’Djamena, BP 407, Chad
    3. Chronic Viral Illness Service and Research Institute of the McGill University Health Centre, Montreal, Canada
    4. H?pital de la Liberté, N’Djamena, Chad
    5. Conseil National de Lutte contre le SIDA, Primature, N’Djamena, Chad
    6. Organisation Mondiale de la Santé, Représentation du Tchad, N’Djamena, Chad
    7. Laboratoire National de Référence des Maladies Sexuellement Transmissibles et du SIDA, Département de Microbiologie, Faculté de Médecine de Libreville, Université des Sciences de la Santé, Libreville, Gabon
    8. Laboratoire de virologie, h?pital Européen Georges Pompidou, and Faculté de Médecine Paris Descartes, Université Paris Descartes (Paris V), Sorbonne Paris Cité, Paris, France
文摘
Background Validation of new affordable CD4 T cell measurement technologies is crucial specifically in resource-poor countries for antiretroviral treatment eligibility and immunologic CD4 monitoring of HIV-infected patients. Methods The absolute and percentage CD4 T cell counts of 258 HIV-1-infected blood samples (182 adults and 76 children), living in N’Djamena, Chad, were performed by single-platform, volumetric, CD45-assisted pan-leucogating Auto40 flow cytometer (Apogee Flow Systems Ltd, Hemel Hempstead, UK) comparing to the FACSCalibur flow cytometer as a reference method. Results Absolute and percentage CD4 T cell counts obtained by Auto40 and FACSCalibur of 258 HIV-1-infected blood samples were highly correlated (r = 0.99 and r = 0.96, respectively). The mean absolute bias and percent bias between Apogee Auto40 and FACSCalibur absolute CD4 T cell counts, were ?.4 cells/μl with limits of agreement from ?5 to 93 cells/μl, and +2.0% with limits of agreement from ?.9 to 4.9%, respectively. The mean of absolute bias and percent bias between Apogee Auto40 and FACSCalibur of CD4 percentage results were +0.4% (95% CI: -0.02 -0.86) with limits of agreement from ?.4 to 0.3%, and +3.0% with limits of agreement from ?.6 to 0.6%, respectively. The Auto40 counting allowed to identify the majority of adults with CD4 T cells below 200 cells/μl (sensitivity: 89%; specificity: 99%) or below 350 cells/μl (sensitivity: 94%; specificity:98%); and of children below 750 cells/μl (sensitivity: 99%; specificity: 96%) or below 25% CD4+ (sensitivity: 94%; specificity: 98%). Conclusion The Auto40 analyzer is an alternative flow cytometer for CD4 T lymphocyte enumeration to be used in routine for immunological monitoring according to the current WHO recommendations in HIV-infected adults as well as children living in resource-constrained settings like Chad.

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