Literature DB >> 21798607

Emerging technologies for point-of-care CD4 T-lymphocyte counting.

David S Boyle1, Kenneth R Hawkins, Matthew S Steele, Mitra Singhal, Xuanhong Cheng.   

Abstract

A CD4 T-lymphocyte count determines eligibility for antiretroviral therapy (ART) in patients recently diagnosed with HIV and also monitors the efficacy of ART treatment thereafter. ART slows the progression of HIV to AIDS. In the developing world, CD4 tests are often performed in centralized laboratories, typically in urban areas. The expansion of ART programs into rural areas has created a need for rapid CD4 counting because logistical barriers can delay the timely dissemination of test results and affect patient care through delay in intervention or loss of follow-up care. CD4 measurement at the point-of-care (POC) in rural areas could help the facilitation of ART and monitoring of treatment. This review highlights recent technology developments with applications towards determining CD4 counts at the POC.
Copyright © 2011 Elsevier Ltd. All rights reserved.

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Year:  2011        PMID: 21798607      PMCID: PMC3386801          DOI: 10.1016/j.tibtech.2011.06.015

Source DB:  PubMed          Journal:  Trends Biotechnol        ISSN: 0167-7799            Impact factor:   19.536


  52 in total

1.  Microfluidic sorting of mammalian cells by optical force switching.

Authors:  Mark M Wang; Eugene Tu; Daniel E Raymond; Joon Mo Yang; Haichuan Zhang; Norbert Hagen; Bob Dees; Elinore M Mercer; Anita H Forster; Ilona Kariv; Philippe J Marchand; William F Butler
Journal:  Nat Biotechnol       Date:  2004-12-19       Impact factor: 54.908

2.  Ultra wide-field lens-free monitoring of cells on-chip.

Authors:  Aydogan Ozcan; Utkan Demirci
Journal:  Lab Chip       Date:  2007-11-01       Impact factor: 6.799

3.  A microchip approach for practical label-free CD4+ T-cell counting of HIV-infected subjects in resource-poor settings.

Authors:  Xuanhong Cheng; Daniel Irimia; Meredith Dixon; Joshua C Ziperstein; Utkan Demirci; Lee Zamir; Ronald G Tompkins; Mehmet Toner; William R Rodriguez
Journal:  J Acquir Immune Defic Syndr       Date:  2007-07-01       Impact factor: 3.731

4.  A PDMS-based disposable microfluidic sensor for CD4+ lymphocyte counting.

Authors:  Sara Thorslund; Rolf Larsson; Jonas Bergquist; Fredrik Nikolajeff; Javier Sanchez
Journal:  Biomed Microdevices       Date:  2008-12       Impact factor: 2.838

5.  Single cell impedance cytometry for identification and counting of CD4 T-cells in human blood using impedance labels.

Authors:  David Holmes; Hywel Morgan
Journal:  Anal Chem       Date:  2010-02-15       Impact factor: 6.986

6.  Microfluidic CD4+ T-cell counting device using chemiluminescence-based detection.

Authors:  Zuankai Wang; Sau Yin Chin; Curtis D Chin; John Sarik; Maritza Harper; Jessica Justman; Samuel K Sia
Journal:  Anal Chem       Date:  2010-01-01       Impact factor: 6.986

7.  Evaluation of the FACScount, TRAx CD4 and Dynabeads methods for CD4 lymphocyte determination.

Authors:  E F Lyamuya; C Kagoma; E C Mbena; W K Urassa; K Pallangyo; F S Mhalu; G Biberfeld
Journal:  J Immunol Methods       Date:  1996-09-09       Impact factor: 2.303

8.  The WHO public-health approach to antiretroviral treatment against HIV in resource-limited settings.

Authors:  Charles F Gilks; Siobhan Crowley; René Ekpini; Sandy Gove; Jos Perriens; Yves Souteyrand; Don Sutherland; Marco Vitoria; Teguest Guerma; Kevin De Cock
Journal:  Lancet       Date:  2006-08-05       Impact factor: 79.321

9.  A hard microflow cytometer using groove-generated sheath flow for multiplexed bead and cell assays.

Authors:  Abel L Thangawng; Jason S Kim; Joel P Golden; George P Anderson; Kelly L Robertson; Vyechi Low; Frances S Ligler
Journal:  Anal Bioanal Chem       Date:  2010-07-25       Impact factor: 4.142

10.  T-cell enumeration from dried blood spots by quantifying rearranged T-cell receptor-beta genes.

Authors:  Andrew D Redd; Emily J Ciccone; Gertrude Nakigozi; Jeanne C Keruly; Anthony Ndyanabo; Boaz Iga; Ronald H Gray; David Serwadda; Thomas C Quinn
Journal:  J Immunol Methods       Date:  2010-01-28       Impact factor: 2.303

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  27 in total

1.  Perspectives on introduction and implementation of new point-of-care diagnostic tests.

Authors:  Kara M Palamountain; Jeff Baker; Elliot P Cowan; Shaffiq Essajee; Laura T Mazzola; Mutsumi Metzler; Marco Schito; Wendy S Stevens; Gloria J Young; Gonzalo J Domingo
Journal:  J Infect Dis       Date:  2012-03-07       Impact factor: 5.226

Review 2.  Diagnostic point-of-care tests in resource-limited settings.

Authors:  Paul K Drain; Emily P Hyle; Farzad Noubary; Kenneth A Freedberg; Douglas Wilson; William R Bishai; William Rodriguez; Ingrid V Bassett
Journal:  Lancet Infect Dis       Date:  2013-12-10       Impact factor: 25.071

3.  A flow-through cell counting assay for point-of-care enumeration of CD4 T-cells.

Authors:  Simon Bystryak; Rajiv P Bandwar; Rasa Santockyte
Journal:  J Virol Methods       Date:  2019-05-28       Impact factor: 2.014

Review 4.  The intersection of flow cytometry with microfluidics and microfabrication.

Authors:  Menake E Piyasena; Steven W Graves
Journal:  Lab Chip       Date:  2014-03-21       Impact factor: 6.799

5.  Microfluidic differential immunocapture biochip for specific leukocyte counting.

Authors:  Umer Hassan; Nicholas N Watkins; Bobby Reddy; Gregory Damhorst; Rashid Bashir
Journal:  Nat Protoc       Date:  2016-03-10       Impact factor: 13.491

6.  Near patient CD4 count in a hospitalized HIV patient population.

Authors:  Monique Givens; Amanda Weaver; Sarah Bickman; Cathy Logan; Emilia V Noormahomed; Sam Patel; Robert T Schooley; Constance A Benson; Michael J Lochhead
Journal:  Cytometry B Clin Cytom       Date:  2015-05-27       Impact factor: 3.058

7.  Performance evaluation of the MBio Diagnostics point-of-care CD4 counter.

Authors:  Cathy Logan; Monique Givens; Jeffrey T Ives; Marie Delaney; Michael J Lochhead; Robert T Schooley; Constance A Benson
Journal:  J Immunol Methods       Date:  2012-10-11       Impact factor: 2.303

Review 8.  Optical imaging techniques for point-of-care diagnostics.

Authors:  Hongying Zhu; Serhan O Isikman; Onur Mudanyali; Alon Greenbaum; Aydogan Ozcan
Journal:  Lab Chip       Date:  2012-10-09       Impact factor: 6.799

Review 9.  CMOS cell sensors for point-of-care diagnostics.

Authors:  Yekbun Adiguzel; Haluk Kulah
Journal:  Sensors (Basel)       Date:  2012-07-25       Impact factor: 3.576

10.  A method for detecting forward scattering signals on-chip with a photonic-microfluidic integrated device.

Authors:  Benjamin R Watts; Zhiyi Zhang; Chang-Qing Xu; Xudong Cao; Min Lin
Journal:  Biomed Opt Express       Date:  2013-06-07       Impact factor: 3.732

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