Literature DB >> 9412697

AIDS prognosis based on HIV-1 RNA, CD4+ T-cell count and function: markers with reciprocal predictive value over time after seroconversion.

F de Wolf1, I Spijkerman, P T Schellekens, M Langendam, C Kuiken, M Bakker, M Roos, R Coutinho, F Miedema, J Goudsmit.   

Abstract

OBJECTIVE: HIV-1 RNA levels in peripheral blood are strongly associated with progression to AIDS, CD4+ T-cell decline, or death. Their predictive value is reportedly independent of the predictive value of CD4+ T-cell counts. Because the interrelations between these parameters of HIV-1 infection are poorly understood, we studied the kinetics and predictive value of serum HIV-1 RNA levels, CD4+ T-cell counts, and T-cell function. DESIGN AND METHODS: HIV RNA levels, CD4+ T-cell counts, and T-cell function were measured from seroconversion to AIDS in 123 homosexual men who seroconverted during a prospective study and were followed over 10 years.
RESULTS: Two patterns of median HIV-1 RNA levels were found during infection: a steady-state and a 'U-shaped' curve. Steady-state high RNA levels were related to rapid disease progression. For the U-shaped curve, there were groups with high and low RNA levels related to disease progression. At 1 year after seroconversion, RNA level was the only marker that was strongly predictive. Furthermore, decreasing RNA levels in the first year following seroconversion were related to better prognosis than stable low levels. Low CD4+ T-cell count and T-cell function became predictive of progression to AIDS at 2 and 5 years after seroconversion, respectively.
CONCLUSIONS: With ongoing infection, the predictive value of low CD4+ T-cell count and T-cell function increases, whereas the predictive value of high HIV-1 RNA level decreases. These findings reflect the observation that infection with HIV progressively leads towards immune deficiency, which in later stages is most predictive of disease progression.

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Year:  1997        PMID: 9412697     DOI: 10.1097/00002030-199715000-00003

Source DB:  PubMed          Journal:  AIDS        ISSN: 0269-9370            Impact factor:   4.177


  59 in total

1.  Longitudinal phenotypic analysis of human immunodeficiency virus type 1-specific cytotoxic T lymphocytes: correlation with disease progression.

Authors:  G S Ogg; S Kostense; M R Klein; S Jurriaans; D Hamann; A J McMichael; F Miedema
Journal:  J Virol       Date:  1999-11       Impact factor: 5.103

2.  A simple relationship between viral load and survival time in HIV-1 infection.

Authors:  R A Arnaout; A L Lloyd; T R O'Brien; J J Goedert; J M Leonard; M A Nowak
Journal:  Proc Natl Acad Sci U S A       Date:  1999-09-28       Impact factor: 11.205

3.  CD28 costimulation and CD28 expression in T lymphocyte subsets in HIV-1 infection with and without progression to AIDS.

Authors:  H Choremi-Papadopoulou; N Panagiotou; E Samouilidou; F Kontopidou; V Viglis; A Antoniadou; J Kosmidis; T Kordossis
Journal:  Clin Exp Immunol       Date:  2000-03       Impact factor: 4.330

4.  Impact of CCR5delta32 host genetic background and disease progression on HIV-1 intrahost evolutionary processes: efficient hypothesis testing through hierarchical phylogenetic models.

Authors:  Diana Edo-Matas; Philippe Lemey; Jennifer A Tom; Cèlia Serna-Bolea; Agnes E van den Blink; Angélique B van 't Wout; Hanneke Schuitemaker; Marc A Suchard
Journal:  Mol Biol Evol       Date:  2010-12-06       Impact factor: 16.240

5.  One-tube real-time isothermal amplification assay to identify and distinguish human immunodeficiency virus type 1 subtypes A, B, and C and circulating recombinant forms AE and AG.

Authors:  M P de Baar; E C Timmermans; M Bakker; E de Rooij; B van Gemen; J Goudsmit
Journal:  J Clin Microbiol       Date:  2001-05       Impact factor: 5.948

6.  Use of dried spots of whole blood, plasma, and mother's milk collected on filter paper for measurement of human immunodeficiency virus type 1 burden.

Authors:  Workenesh Ayele; Rob Schuurman; Tsehaynesh Messele; Wendelien Dorigo-Zetsma; Yohannes Mengistu; Jaap Goudsmit; William A Paxton; Michel P de Baar; Georgios Pollakis
Journal:  J Clin Microbiol       Date:  2007-01-24       Impact factor: 5.948

7.  Association between HIV-1 RNA level and CD4 cell count among untreated HIV-infected individuals.

Authors:  Viviane D Lima; Valeria Fink; Benita Yip; Robert S Hogg; P Richard Harrigan; Julio S G Montaner
Journal:  Am J Public Health       Date:  2009-02-12       Impact factor: 9.308

8.  Relationships between exposure to saquinavir monotherapy and antiviral response in HIV-positive patients.

Authors:  R Gieschke; B Fotteler; N Buss; J L Steimer
Journal:  Clin Pharmacokinet       Date:  1999-07       Impact factor: 6.447

Review 9.  The role of antigenic stimulation and cytotoxic T cell activity in regulating the long-term immunopathogenesis of HIV: mechanisms and clinical implications.

Authors:  C Fraser; N M Ferguson; F de Wolf; R M Anderson
Journal:  Proc Biol Sci       Date:  2001-10-22       Impact factor: 5.349

10.  Variation in HIV-1 set-point viral load: epidemiological analysis and an evolutionary hypothesis.

Authors:  Christophe Fraser; T Déirdre Hollingsworth; Ruth Chapman; Frank de Wolf; William P Hanage
Journal:  Proc Natl Acad Sci U S A       Date:  2007-10-22       Impact factor: 11.205

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