Literature DB >> 7811537

Keynote address: variations in the natural history of HIV infection.

J P Phair1.   

Abstract

In general, the natural history of HIV infection as revealed by prospective cohort studies such as the Multicenter AIDS Cohort Study (MACS) is consistent with our current understanding of the immunopathogenesis of HIV disease. Although the limitations of CD4+ T cell counts as a predictor of response to therapy are now recognized, enumeration of these cells remains an important predictor of outcome. Additional information regarding prognosis can be obtained using other immunological and virological information. Analysis of data from cohort studies has revealed varying patterns of CD4+ lymphocyte count decline associated with differing evidence of immune activation, specific antibody responses, CD8+ T cell responses, and level of viral burden. Of interest, some asymptomatic HIV-infected persons appear to show immune stability in the absence of therapeutic interventions. In addition, the combination of antiretroviral therapy and prophylaxis for Pneumocystis carinii pneumonia (but apparently not prophylaxis for fungal or Mycobacterium avium-intracellulare infections) has prolonged survival in patients with AIDS.

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Year:  1994        PMID: 7811537     DOI: 10.1089/aid.1994.10.883

Source DB:  PubMed          Journal:  AIDS Res Hum Retroviruses        ISSN: 0889-2229            Impact factor:   2.205


  4 in total

1.  An optimized sensitive method for quantitation of DNA/RNA viruses in heparinized and cryopreserved plasma.

Authors:  Ming Ding; Arlene Bullotta; Lori Caruso; Phalguni Gupta; Charles R Rinaldo; Yue Chen
Journal:  J Virol Methods       Date:  2011-05-17       Impact factor: 2.014

2.  Virus phenotype switching and disease progression in HIV-1 infection.

Authors:  D S Callaway; R M Ribeiro; M A Nowak
Journal:  Proc Biol Sci       Date:  1999-12-22       Impact factor: 5.349

3.  Elevated numbers of PD-L1 expressing B cells are associated with the development of AIDS-NHL.

Authors:  Marta Epeldegui; David V Conti; Yu Guo; Wendy Cozen; Manuel L Penichet; Otoniel Martínez-Maza
Journal:  Sci Rep       Date:  2019-06-28       Impact factor: 4.996

4.  Trends and Adaptive Optimal Set Points of CD4+ Count Clinical Covariates at Each Phase of the HIV Disease Progression.

Authors:  Partson Tinarwo; Temesgen Zewotir; Delia North
Journal:  AIDS Res Treat       Date:  2020-03-01
  4 in total

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