Literature DB >> 9693310

Interpreting data on lymphocyte subsets in the blood of HIV patients - organ distribution, proliferation and migration kinetics are critical factors.

R Pabst1, Y J Rosenberg.   

Abstract

Lymphocytes stay in the blood only a short time before migrating to lymphoid and nonlymphoid organs. They represent only about 2% of all lymphocytes in the body. The ratio of CD4+/CD8+ lymphocytes in the blood depends on age and genetic influences. In HIV infection not only relative but also absolute numbers of lymphocyte subsets should be determined. The different effects of proliferation and apoptosis on lymphocytes in HIV infection have to be considered. Lymphocyte levels in the blood of HIV patients do not mirror alterations in the lamina propria of the gut or lymph nodes. The dynamic aspects of lymphocyte life span and migration during HIV infection and the progression to AIDS as well as the effects of treatment have to be taken into consideration to enable a meaningful interpretation of experimental data. More data from animal models of HIV infection are needed to study these kinetic aspects.

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Year:  1998        PMID: 9693310     DOI: 10.1159/000028006

Source DB:  PubMed          Journal:  Pathobiology        ISSN: 1015-2008            Impact factor:   4.342


  3 in total

1.  HIV-1 Nef inhibits ruffles, induces filopodia, and modulates migration of infected lymphocytes.

Authors:  Cinzia Nobile; Dominika Rudnicka; Milena Hasan; Nathalie Aulner; Françoise Porrot; Christophe Machu; Olivier Renaud; Marie-Christine Prévost; Claire Hivroz; Olivier Schwartz; Nathalie Sol-Foulon
Journal:  J Virol       Date:  2009-12-16       Impact factor: 5.103

2.  Mathematical modeling reveals kinetics of lymphocyte recirculation in the whole organism.

Authors:  Vitaly V Ganusov; Jeremy Auerbach
Journal:  PLoS Comput Biol       Date:  2014-05-15       Impact factor: 4.475

3.  Strong Inference in Mathematical Modeling: A Method for Robust Science in the Twenty-First Century.

Authors:  Vitaly V Ganusov
Journal:  Front Microbiol       Date:  2016-07-22       Impact factor: 5.640

  3 in total

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