Evidence map›Paper›PMID 24448498›Full record

Trial reportLab on a chip2014

An automated integrated platform for rapid and sensitive multiplexed protein profiling using human saliva samples.

Shuai Nie, W Hampton Henley, Scott E Miller, Huaibin Zhang, Kathryn M Mayer, Patty J Dennis, Emily A Oblath, Jean Pierre Alarie, Yue Wu, Frank G Oppenheim and 5 more

Open access · greenAbstract readClinical Trial
In one paragraph

Trial report in Lab on a chip, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed, 1 pooled it
5.7field-weighted citation impact, top 3% 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

28 citing papers in PubMed, 1 synthesis or guideline pooled it, 61 citations in OpenAlex.

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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

15 authors at 6 institutions in 2 countries.

Shuai NieDepartment of Chemistry, Tufts University, Medford, MA 02155, USA. david.walt@tufts.edu.
W Hampton Henley
Scott E Miller
Huaibin Zhang
Kathryn M Mayer
Patty J Dennis
Emily A Oblath
Jean Pierre Alarie
Yue Wu
Frank G Oppenheim
Frédéric F Little
Ahmet Z Uluer
Peidong Wang
J Michael Ramsey
David R Walt
Tufts University · USUniversity of North Carolina at Chapel Hill · USBoston University · USBoston Children's Hospital · USThermo Fisher Scientific (Israel) · ILThermo Fisher Scientific (United States) · US

Funding

Microsensor Arrays for Saliva DiagnosticsU01DE017788 · NIDCR · TUFTS UNIVERSITY MEDFORD · PI WALT, DAVID R. · 2006 to 2010
$8.2M
NIDCR NIH HHS U01 DE017788PHS HHS 08UDE017788-05
6 · The paper itself

Abstract

During the last decade, saliva has emerged as a potentially ideal diagnostic biofluid for noninvasive testing. In this paper, we present an automated, integrated platform useable by minimally trained personnel in the field for the diagnosis of respiratory diseases using human saliva as a sample specimen. In this platform, a saliva sample is loaded onto a disposable microfluidic chip containing all the necessary reagents and components required for saliva analysis. The chip is then inserted into the automated analyzer, the SDReader, where multiple potential protein biomarkers for respiratory diseases are measured simultaneously using a microsphere-based array via fluorescence sandwich immunoassays. The results are read optically, and the images are analyzed by a custom-designed algorithm. The fully automated assay requires as little as 10 μL of saliva sample, and the results are reported in 70 min. The performance of the platform was characterized by testing protein standard solutions, and the results were comparable to those from the 3.5 h lab bench assay that we have previously reported. The device was also deployed in two clinical environments where 273 human saliva samples collected from different subjects were successfully tested, demonstrating the device's potential to assist clinicians with the diagnosis of respiratory diseases by providing timely protein biomarker profiling information. This platform, which combines noninvasive sample collection and fully automated analysis, can also be utilized in point-of-care diagnostics.

Indexed as

Microfluidic Analytical TechniquesAdultAsthmaBiomarkersFemaleHumansMaleRetrospective StudiesSalivaSalivary Proteins and PeptidesTime FactorsBiomarkersSalivary Proteins and Peptides

Identifiers

PMID24448498
PMCPMC3996899
OpenAlexW2001435015

What OpenQuestion holds

Textmetadata
LicenceTDM
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.