Literature DB >> 11015152

Model of HIV-1 disease progression based on virus-induced lymph node homing and homing-induced apoptosis of CD4+ lymphocytes.

D Kirschner1, G F Webb, M Cloyd.   

Abstract

Several proposed theories have described the progression of HIV infection. Even so, no concrete evidence supports any as comprehensive, including, for example, why the CD4+ T-cell counts fall from 1000/mm3 of blood to roughly 100/mm3 over an average 10-year period, whereas concomitant viral loads are relatively constant, increasing by several orders of magnitude in late-stage disease. Here, we develop and validate a theoretical model that altered lymphocyte circulation patterns between the lymph system and blood due to HIV-induced enhanced lymph-node homing and subsequent apoptosis of resting CD4+ T cells can explain many aspects of HIV-1 disease progression. These results lead to a recalculation of the CD4+ lymphocyte dynamics during highly active antiretroviral therapy, and also suggest new targets for therapy.

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Year:  2000        PMID: 11015152     DOI: 10.1097/00126334-200008010-00010

Source DB:  PubMed          Journal:  J Acquir Immune Defic Syndr        ISSN: 1525-4135            Impact factor:   3.731


  21 in total

1.  Opportunities for earlier HIV diagnosis in a pediatric ED.

Authors:  Michelle D Eckerle; Madjimbaye Namde; Carolyn K Holland; Andrew H Ruffner; Kim W Hart; Christopher J Lindsell; Jennifer L Reed; Michael S Lyons
Journal:  Am J Emerg Med       Date:  2015-04-10       Impact factor: 2.469

2.  Late presenters to HIV care and treatment, identification of associated risk factors in HIV-1 infected Indian population.

Authors:  Kamalika Mojumdar; Madhu Vajpayee; Neeraj K Chauhan; Sanjay Mendiratta
Journal:  BMC Public Health       Date:  2010-07-13       Impact factor: 3.295

3.  Release of virus from lymphoid tissue affects human immunodeficiency virus type 1 and hepatitis C virus kinetics in the blood.

Authors:  V Müller; A F Marée; R J De Boer
Journal:  J Virol       Date:  2001-03       Impact factor: 5.103

4.  A simple method for estimating the prevalence of undiagnosed HIV infection in an emergency department.

Authors:  Christopher J Lindsell; Kimberly W Hart; Michael S Lyons
Journal:  Ann Emerg Med       Date:  2011-07       Impact factor: 5.721

5.  Factors associated with delayed initiation of HIV medical care among infected persons attending a southern HIV/AIDS clinic.

Authors:  Christopher S Krawczyk; Ellen Funkhouser; J Michael Kilby; Richard A Kaslow; Amita K Bey; Sten H Vermund
Journal:  South Med J       Date:  2006-05       Impact factor: 0.954

6.  Antiretroviral therapy restores diversity in the T-cell receptor Vbeta repertoire of CD4 T-cell subpopulations among human immunodeficiency virus type 1-infected children and adolescents.

Authors:  Li Yin; Zhong Chen Kou; Carina Rodriguez; Wei Hou; Maureen M Goodenow; John W Sleasman
Journal:  Clin Vaccine Immunol       Date:  2009-07-15

7.  Optimal HIV treatment by maximising immune response.

Authors:  Rebecca V Culshaw; Shigui Ruan; Raymond J Spiteri
Journal:  J Math Biol       Date:  2003-10-27       Impact factor: 2.259

8.  Late Presentation into Care of HIV Disease and Its Associated Factors in Asia: Results of TAHOD.

Authors:  Su Jin Jeong; Claire Italiano; Romanee Chaiwarith; Oon Tek Ng; Sasheela Vanar; Awachana Jiamsakul; Vonthanak Saphonn; Kinh Van Nguyen; Sasisopin Kiertiburanakul; Man Po Lee; Tuti Parwati Merati; Thuy Thanh Pham; Evy Yunihastuti; Rossana Ditangco; Nagalingeswaran Kumarasamy; Fujie Zhang; Wingwai Wong; Benedict L H Sim; Sanjay Pujari; Pacharee Kantipong; Praphan Phanuphak; Winai Ratanasuwan; Shinichi Oka; Mahiran Mustafa; Nicolas Durier; Jun Yong Choi
Journal:  AIDS Res Hum Retroviruses       Date:  2015-10-15       Impact factor: 2.205

9.  Positive feedback through inflammation creates bistable behavior in HIV tissue sanctuaries.

Authors:  Aditya Jagarapu; Rajveer Mann; Michael J Piovoso; Ryan Zurakowski
Journal:  Proc Am Control Conf       Date:  2019-08-29

10.  Dynamics of HIV infection in lymphoid tissue network.

Authors:  Shinji Nakaoka; Shingo Iwami; Kei Sato
Journal:  J Math Biol       Date:  2015-10-27       Impact factor: 2.259

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