Literature DB >> 20182359

Measurement of naive CD4 cells reliably predicts potential for immune reconstitution in HIV.

Timothy W Schacker1, Ronald J Bosch, Kara Bennett, Richard Pollard, Gregory K Robbins, Ann C Collier, Roy M Gulick, John Spritzler, Donna Mildvan.   

Abstract

BACKGROUND: Pathogenesis studies show that naive CD4 cells are preferentially depleted in lymphoid tissues during HIV infection, and studies of advanced patients suggest levels of naive CD4 cells in blood correlate to total CD4 cells after starting antiretroviral therapy (ARV). We hypothesized that measuring naive CD4 cells in blood in people at earlier stages of disease would identify those at highest risk for poor CD4 reconstitution who may benefit from earlier initiation of ARV. METHODS AND
FINDINGS: We identified 348 patients from multiple AIDS Clinical Trials Group studies who were ARV naive, had a CD4 count between 200 and 500 cells per microliter, a measure of pretreatment-naive CD4 percent, and serial follow-up measures of CD4 count and plasma HIV RNA after starting ARV. We used logistic regression to model the ability of naive CD4 percent to predict 100 and 200 CD4 cell increases after 24 months of therapy. After controlling for baseline viral load and demographic variables, baseline naive but not total CD4 cell count strongly predicted CD4 cell increases. Lower baseline naive CD4 percent was associated with greater time spent at lower CD4 T-cell counts after initiating ARV.
CONCLUSIONS: Measurement of naive CD4 percent in patients can identify those least likely to reconstitute immunity, who may benefit from earlier ARV treatment.

Entities:  

Mesh:

Substances:

Year:  2010        PMID: 20182359      PMCID: PMC2955357          DOI: 10.1097/QAI.0b013e3181c96520

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


  20 in total

1.  Immune reconstitution is comparable in antiretroviral-naive subjects after 1 year of successful therapy with a nucleoside reverse-transcriptase inhibitor- or protease inhibitor-containing antiretroviral regimen.

Authors:  Alan L Landay; John Spritzler; Harold Kessler; Donna Mildvan; Minya Pu; Larry Fox; Dorothy O'Neil; Barbara Schock; Daniel Kuritzkes; Michael M Lederman
Journal:  J Infect Dis       Date:  2003-11-13       Impact factor: 5.226

2.  A randomized trial of 2 different 4-drug antiretroviral regimens versus a 3-drug regimen, in advanced human immunodeficiency virus disease.

Authors:  Margaret A Fischl; Heather J Ribaudo; Ann C Collier; Alejo Erice; Marina Giuliano; Marjorie Dehlinger; Joseph J Eron; Michael S Saag; Scott M Hammer; Stefano Vella; Gene D Morse; Judith E Feinberg; Lisa M Demeter; Susan H Eshleman
Journal:  J Infect Dis       Date:  2003-08-15       Impact factor: 5.226

3.  Amount of lymphatic tissue fibrosis in HIV infection predicts magnitude of HAART-associated change in peripheral CD4 cell count.

Authors:  Timothy W Schacker; Cavan Reilly; Gregory J Beilman; Jodie Taylor; David Skarda; David Krason; Matthew Larson; Ashley T Haase
Journal:  AIDS       Date:  2005-12-02       Impact factor: 4.177

4.  Positive effects of combined antiretroviral therapy on CD4+ T cell homeostasis and function in advanced HIV disease.

Authors:  B Autran; G Carcelain; T S Li; C Blanc; D Mathez; R Tubiana; C Katlama; P Debré; J Leibowitch
Journal:  Science       Date:  1997-07-04       Impact factor: 47.728

5.  Lymphatic tissue fibrosis is associated with reduced numbers of naive CD4+ T cells in human immunodeficiency virus type 1 infection.

Authors:  Timothy W Schacker; Jason M Brenchley; Gregory J Beilman; Cavan Reilly; Stefan E Pambuccian; Jodie Taylor; David Skarda; Matthew Larson; Daniel C Douek; Ashley T Haase
Journal:  Clin Vaccine Immunol       Date:  2006-05

6.  Lymphocyte kinetics and precursor frequency-dependent recovery of CD4(+)CD45RA(+)CD62L(+) naive T cells following triple-drug therapy for HIV type 1 infection.

Authors:  R L Hengel; B M Jones; M S Kennedy; M R Hubbard; J S McDougal
Journal:  AIDS Res Hum Retroviruses       Date:  1999-03-20       Impact factor: 2.205

7.  Three- vs four-drug antiretroviral regimens for the initial treatment of HIV-1 infection: a randomized controlled trial.

Authors:  Roy M Gulick; Heather J Ribaudo; Cecilia M Shikuma; Christina Lalama; Bruce R Schackman; William A Meyer; Edward P Acosta; Jeffrey Schouten; Kathleen E Squires; Christopher D Pilcher; Robert L Murphy; Susan L Koletar; Margrit Carlson; Richard C Reichman; Barbara Bastow; Karin L Klingman; Daniel R Kuritzkes
Journal:  JAMA       Date:  2006-08-16       Impact factor: 56.272

8.  Immune reconstitution after 2 years of successful potent antiretroviral therapy in previously untreated human immunodeficiency virus type 1-infected adults.

Authors:  D W Notermans; N G Pakker; D Hamann; N A Foudraine; R H Kauffmann; P L Meenhorst; J Goudsmit; M T Roos; P T Schellekens; F Miedema; S A Danner
Journal:  J Infect Dis       Date:  1999-10       Impact factor: 5.226

9.  Comparison of four-drug regimens and pairs of sequential three-drug regimens as initial therapy for HIV-1 infection.

Authors:  Robert W Shafer; Laura M Smeaton; Gregory K Robbins; Victor De Gruttola; Sally W Snyder; Richard T D'Aquila; Victoria A Johnson; Gene D Morse; Mostafa A Nokta; Ana I Martinez; Barbara M Gripshover; Pamposh Kaul; Richard Haubrich; Mary Swingle; S Debra McCarty; Stefano Vella; Martin S Hirsch; Thomas C Merigan
Journal:  N Engl J Med       Date:  2003-12-11       Impact factor: 91.245

10.  Immunophenotypic markers and antiretroviral therapy (IMART): T cell activation and maturation help predict treatment response.

Authors:  Donna Mildvan; Ronald J Bosch; Ryung S Kim; John Spritzler; David W Haas; Daniel Kuritzkes; Jonathan Kagan; Mostafa Nokta; Victor DeGruttola; Melanie Moreno; Alan Landay
Journal:  J Infect Dis       Date:  2004-04-29       Impact factor: 5.226

View more
  16 in total

1.  Substance Abuse, Hepatitis C, and Aging in HIV: Common Cofactors that Contribute to Neurobehavioral Disturbances.

Authors:  Randi Melissa Schuster; Raul Gonzalez
Journal:  Neurobehav HIV Med       Date:  2012-02-16

2.  Baseline immune phenotypes and CD4+ T lymphocyte responses to antiretroviral therapy in younger versus older HIV-infected individuals.

Authors:  Risa M Hoffman; Beth D Jamieson; Ronald J Bosch; Judith Currier; Christina M R Kitchen; Ingrid Schmid; Yuda Zhu; Kara Bennett; Ronald Mitsuyasu
Journal:  J Clin Immunol       Date:  2011-06-04       Impact factor: 8.317

3.  Early postseroconversion CD4 cell counts independently predict CD4 cell count recovery in HIV-1-postive subjects receiving antiretroviral therapy.

Authors:  Hemant Kulkarni; Jason F Okulicz; Greg Grandits; Nancy F Crum-Cianflone; Michael L Landrum; Braden Hale; Glenn Wortmann; Edmund Tramont; Michael Polis; Matthew Dolan; Alan R Lifson; Brian K Agan; Sunil K Ahuja; Vincent C Marconi
Journal:  J Acquir Immune Defic Syndr       Date:  2011-08-15       Impact factor: 3.731

4.  Increased homeostatic cytokines and stability of HIV-infected memory CD4 T-cells identify individuals with suboptimal CD4 T-cell recovery on-ART.

Authors:  Maria Pino; Susan Pereira Ribeiro; Amélie Pagliuzza; Khader Ghneim; Anum Khan; Emily Ryan; Justin L Harper; Colin T King; Sarah Welbourn; Luca Micci; Sol Aldrete; Keith A Delman; Theron Stuart; Michael Lowe; Jason M Brenchley; Cynthia A Derdeyn; Kirk Easley; Rafick P Sekaly; Nicolas Chomont; Mirko Paiardini; Vincent C Marconi
Journal:  PLoS Pathog       Date:  2021-08-27       Impact factor: 6.823

5.  The evolution of haematological and biochemical indices in HIV patients during a six-month treatment period.

Authors:  J Mgogwe; H Semvua; R Msangi; C Mataro; D Kajeguka; J Chilongola
Journal:  Afr Health Sci       Date:  2012-03       Impact factor: 0.927

6.  In vivo blockade of the PD-1 receptor suppresses HIV-1 viral loads and improves CD4+ T cell levels in humanized mice.

Authors:  Brent E Palmer; C Preston Neff; Jonathan Lecureux; Angelica Ehler; Michelle Dsouza; Leila Remling-Mulder; Alan J Korman; Andrew P Fontenot; Ramesh Akkina
Journal:  J Immunol       Date:  2012-12-03       Impact factor: 5.422

7.  Mortality and immunological recovery among older adults on antiretroviral therapy at a large urban HIV clinic in Kampala, Uganda.

Authors:  Aggrey S Semeere; Isaac Lwanga; Joseph Sempa; Sujal Parikh; Noeline Nakasujja; Robert Cumming; Andrew Kambugu; Harriet Mayanja-Kizza
Journal:  J Acquir Immune Defic Syndr       Date:  2014-12-01       Impact factor: 3.731

8.  T-Cell Subsets Predict Mortality in Malnourished Zambian Adults Initiating Antiretroviral Therapy.

Authors:  Caroline C Chisenga; Suzanne Filteau; Joshua Siame; Molly Chisenga; Andrew J Prendergast; Paul Kelly
Journal:  PLoS One       Date:  2015-06-17       Impact factor: 3.240

9.  Two doses of candidate TB vaccine MVA85A in antiretroviral therapy (ART) naïve subjects gives comparable immunogenicity to one dose in ART+ subjects.

Authors:  Tandakha N Dieye; Birahim P Ndiaye; Alle B Dieng; Marema Fall; Nathaniel Brittain; Nathaniel Britain; Samantha Vermaak; Makhtar Camara; Halimatou Diop-Ndiaye; Ndeye Fatou Ngom-Gueye; Papa A Diaw; Coumba Toure-Kane; Papa S Sow; Souleymane Mboup; Helen McShane
Journal:  PLoS One       Date:  2013-06-28       Impact factor: 3.240

10.  Dynamics of immune reconstitution and activation markers in HIV+ treatment-naïve patients treated with raltegravir, tenofovir disoproxil fumarate and emtricitabine.

Authors:  Nicholas T Funderburg; Adriana Andrade; Ellen S Chan; Susan L Rosenkranz; Darlene Lu; Brian Clagett; Heather A Pilch-Cooper; Benigno Rodriguez; Judith Feinberg; Eric Daar; John Mellors; Daniel Kuritzkes; Jeffrey M Jacobson; Michael M Lederman
Journal:  PLoS One       Date:  2013-12-18       Impact factor: 3.240

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.