NLM Gateway
A service of the U.S. National Institutes of Health
Your Entrance to
Resources from the
National Library of Medicine
    Home      Term Finder      Limits/Settings      Search Details      History      My Locker        About      Help      FAQ    
Skip Navigation Side Barintended for web crawlers only

IDENTIFICATION OF CONTROLLERS, NORMAL PROGRESSORS, AND PROGRESSORS BY IMMUNOPHENOTYPING, AND RNA QUANTIFICATION.

Gappoo S, Chetty P, Govender U, Harlow JD, Henry C, Honeyborne I, Mngqundaniso N, Nene N, Ntumba N, Ramduth D, Kiepiela P, Goulder P, Coovadia HM; IAS Conference on HIV Pathogenesis and Treatment (2nd : 2003 : Paris, France).

Antivir Ther. 2003; 8 (Suppl.1): abstract no. 398.

Department of Paediatrics and Child Health, Nelson R Mandela School of Medicine, University of Natal, South Africa

BACKGROUND: Both T-helper cells and CTLs are important in controlling the HIV virus. Kwa-Zulu Natal is the epicentre of HIV infection, approximately 30%. The Ekuphileni Clinic has an antenatal prevalence rate of approximately 60%. This cohort of patients (~350) has been studied over the past 4 years. Aim: To identify, those HIV-infected antenatal attendees who are controllers, normal progressors (NP) and progressors to AIDS after a 1 year follow-up period. METHOD: Immunophenotyping by flow cytometry, was undertaken at the following time points: before delivery, at 1 week, 6 weeks, 3 months, 9 months and >9 months after birth. Viral load quantification was done on the plasma sample before delivery. Antenatal attendees with CD4% of >30% and/or CD4 absolute counts of >700 cells/mm3, were classified as controllers. While CD4% of <10% and/or a CD4 absolute counts of <200 cells/mm3, were classified as progressors. Attendees falling between these values were classified as NP. The mean CD4% and CD4 absolute counts were calculated and used to categorize the patients. RESULTS: There were 33 controllers, 7 NP and 19 progressor patients in whom there was a 1 year follow-up. There was a significant difference in the CD4% and CD4 absolute values between controllers (mean +/-SD: 34.03% +/-4.17; 737 cells/mm3 +/-193.2) vs NP (18.77% +/-5.5; 449.4 cells/mm3 +/-146.5), (P<0.05; P<0.05) and progressors (11.97% +/-3.8; 194.5 cells/mm3 +/-99.7), (P<0.05; P<0.5), respectively. However the viral load in the three groups was not significantly different (P=0.09). There was no correlation between CD4% and CD4 absolute counts vs viral load in the controllers. However, there was a significant negative correlation in the progressors between the CD4% and CD4 absolute values only when the viral load is >100000 RNA copies/ml. CONCLUSION: There is a significant decline in CD4% and CD4 absolute values (<12%; <200 cells/mm3, respectively), when the viral is >100000 RNA copies/ml. Perhaps this effect could be more profound if the sample size was increased and there was a longer follow up period. The confounding variable is the unknown time of HIV infection in all three groups.

Publication Types:
  • Meeting Abstracts
Keywords:
  • Acquired Immunodeficiency Syndrome
  • Antigens, CD4
  • CD4 Lymphocyte Count
  • HIV Infections
  • HIV Seropositivity
  • Humans
  • Immunophenotyping
  • RNA
  • RNA, Viral
  • T-Lymphocytes, Cytotoxic
  • Viral Load
  • immunology
Other ID:
  • GWAIDS0023059
UI: 102262683

From Meeting Abstracts




Contact Us
U.S. National Library of Medicine |  National Institutes of Health |  Health & Human Services
Privacy |  Copyright |  Accessibility |  Freedom of Information Act |  USA.gov