Evidence map›Paper›PMID 24448112›Full record

ArticleScientific reports2014

Micro-a-fluidics ELISA for rapid CD4 cell count at the point-of-care.

ShuQi Wang, Savas Tasoglu, Paul Z Chen, Michael Chen, Ragip Akbas, Sonya Wach, Cenk Ibrahim Ozdemir, Umut Atakan Gurkan, Francoise F Giguel, Daniel R Kuritzkes and 1 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers.

0numbers the graph read from it
0cells of the map it votes in
43citing papers in PubMed
10.6field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

43 citing papers in PubMed, 96 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Review
  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Review
  14. Article
  15. Article
  16. Review
  17. Review
  18. Article
  19. Article
  20. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors at 5 institutions in 2 countries.

ShuQi WangBio-Acoustic-MEMS in Medicine (BAMM) Laboratory, Division of Biomedical Engineering, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA 02139, USA.
Savas TasogluBio-Acoustic-MEMS in Medicine (BAMM) Laboratory, Division of Biomedical Engineering, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA 02139, USA.
Paul Z ChenBio-Acoustic-MEMS in Medicine (BAMM) Laboratory, Division of Biomedical Engineering, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA 02139, USA.
Michael ChenBio-Acoustic-MEMS in Medicine (BAMM) Laboratory, Division of Biomedical Engineering, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA 02139, USA.
Ragip Akbaszyeğin University, Civil Engineering Department, Istanbul, Turkey.
Sonya WachBio-Acoustic-MEMS in Medicine (BAMM) Laboratory, Division of Biomedical Engineering, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA 02139, USA.
Cenk Ibrahim OzdemirBio-Acoustic-MEMS in Medicine (BAMM) Laboratory, Division of Biomedical Engineering, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA 02139, USA.
Umut Atakan Gurkan1] Bio-Acoustic-MEMS in Medicine (BAMM) Laboratory, Division of Biomedical Engineering, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA 02139, USA [2].
Francoise F GiguelInfectious Diseases Unit, Massachusetts General Hospital, Boston, MA 02114, USA.
Daniel R KuritzkesDivision of Infectious Diseases, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts 02115, USA.
Utkan Demirci1] Bio-Acoustic-MEMS in Medicine (BAMM) Laboratory, Division of Biomedical Engineering, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA 02139, USA [2] Division of Infectious Diseases, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts 02115, USA [3] Harvard-MIT Health Sciences and Technology, Cambridge, MA 02139, USA.
Harvard University · USBrigham and Women's Hospital · USBluebird Bio (United States) · USMassachusetts General Hospital · USÖzyeğin University · TR

Funding

Rapid Fluorescence-Based Determination of Antibiotic SusceptibilityU54EB015408 · NIBIB · MASSACHUSETTS GENERAL HOSPITAL · PI PARRISH, JOHN A, SCHACHTER, STEVEN · 2012 to 2022
$49.2M
Novel disposable microchips for HIV-1 viral loadR01AI093282 · NIAID · STANFORD UNIVERSITY · PI DEMIRCI, UTKAN · 2012 to 2015
$1.7M
Antibody-based cell purification at resource limited setting for HIVR21AI087107 · NIAID · BRIGHAM AND WOMEN'S HOSPITAL · PI DEMIRCI, UTKAN · 2010 to 2011
$488k
NIAID NIH HHS R01 AI093282NIAID NIH HHS R01AI093282NIAID NIH HHS R21 AI087107NIAID NIH HHS R21AI087107NIBIB NIH HHS U54 EB015408NIBIB NIH HHS U54EB15408PHS HHS R01A1081534
6 · The paper itself

Abstract

HIV has become one of the most devastating pathogens in human history. Despite fast progress in HIV-related basic research, antiretroviral therapy (ART) remains the most effective method to save AIDS patients' lives. Unfortunately, ART cannot be universally accessed, especially in developing countries, due to the lack of effective treatment monitoring diagnostics. Here, we present an inexpensive, rapid and portable micro-a-fluidic platform, which can streamline the process of an enzyme-linked immunosorbent assay (ELISA) in a fully automated manner for CD4 cell count. The micro-a-fluidic CD4 cell count is achieved by eliminating operational fluid flow via "moving the substrate", as opposed to "flowing liquid" in traditional ELISA or microfluidic methods. This is the first demonstration of capturing and detecting cells from unprocessed whole blood using the enzyme-linked immunosorbent assay (ELISA) in a microfluidic channel. Combined with cell phone imaging, the presented micro-a-fluidic ELISA platform holds great promise for offering rapid CD4 cell count to scale up much needed ART in resource-constrained settings. The developed system can be extended to multiple areas for ELISA-related assays.

Indexed as

Point-of-Care SystemsCD4 Lymphocyte CountCD4-Positive T-LymphocytesCell PhoneEnzyme-Linked Immunosorbent AssayFlow CytometryHIV-1HIV InfectionsHumansMicrofluidicsViral Load

Identifiers

PMID24448112
PMCPMC3898414
OpenAlexW2147451514

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.