Evidence map›Paper›PMID 28875696›Full record

ArticleACS infectious diseases2017

Surface-Enhanced Raman Spectroscopy-Based Sandwich Immunoassays for Multiplexed Detection of Zika and Dengue Viral Biomarkers.

Maria Sánchez-Purrà, Marc Carré-Camps, Helena de Puig, Irene Bosch, Lee Gehrke, Kimberly Hamad-Schifferli

Open access · greenAbstract read
In one paragraph

Article in ACS infectious diseases, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 72 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
72citing papers in PubMed, 1 pooled it
16.4field-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

72 citing papers in PubMed, 1 synthesis or guideline pooled it, 183 citations in OpenAlex.

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  19. Applications of Gold Nanoparticles in Plasmonic and Nanophotonic Biosensing.Advances in biochemical engineering/biotechnology · 2024
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12 more citing papers are in PubMed but not listed here.

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

6 authors at 3 institutions in 2 countries.

Maria Sánchez-PurràDepartment of Engineering, University of Massachusetts Boston , 100 Morrissey Blvd., Boston, Massachusetts 02125, United States.
Marc Carré-CampsIQS School of Engineering , Via Augusta 390, Barcelona, 08018, Spain.
Helena de Puig
Irene Bosch
Lee GehrkeDepartment of Microbiology and Immunology, Harvard Medical School , 77 Ave. Louis Pasteur, Boston, Massachusetts 02115, United States.
Kimberly Hamad-SchifferliDepartment of Engineering, University of Massachusetts Boston , 100 Morrissey Blvd., Boston, Massachusetts 02125, United States.ORCID 0000-0002-4839-3179
University of Massachusetts Boston · USHarvard University · USInstitut Químic de Sarrià · ES

Funding

Resource for Biocomputing Visualization and InformaticsP41GM103311 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI FERRIN, THOMAS E · 2012 to 2017
$8.2M
MMDx: A rapid multiplexed matrix code diagnostic for real time epidemiologyR33AI100190 · NIAID · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI GEHRKE, LEE · 2014 to 2016
$1.6M
MMDx: A rapid multiplexed matrix code diagnostic for real time epidemiologyR21AI100190 · NIAID · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI GEHRKE, LEE · 2012 to 2013
$436k
NIAID NIH HHS R21 AI100190NIAID NIH HHS R33 AI100190NIGMS NIH HHS P41 GM103311
6 · The paper itself

Abstract

Zika and dengue are mosquito-borne diseases that present similar nonspecific symptoms but possess dramatically different outcomes. The first line of defense in epidemic outbreaks are rapid point-of-care diagnostics. Because many outbreaks occur in areas that are resource poor, assays that are easy to use, inexpensive, and require no power have become invaluable in patient treatment, quarantining, and surveillance. Paper-based sandwich immunoassays such as lateral flow assays (LFAs) are attractive as point-of-care solutions as they have the potential for wider deployability than lab-based assays such as PCR. However, their low sensitivity imposes limitations on their ability to detect low biomarker levels and early diagnosis. Here, we exploit the high sensitivity of surface-enhanced Raman spectroscopy (SERS) in a multiplexed assay that can distinguish between Zika and dengue nonstructural protein 1 (NS1) biomarkers. SERS-encoded gold nanostars were conjugated to specific antibodies for both diseases and used in a dipstick immunoassay, which exhibited 15-fold and 7-fold lower detection limits for Zika NS1 and dengue NS1, respectively. This platform combines the simplicity of a LFA with the high sensitivity of SERS and could not only improve Zika diagnosis but also detect diseases sooner after infection when biomarker levels are low.

Indexed as

AnimalsBiomarkersDengue VirusHybridomasImmunoassayMiceSpectrum Analysis, RamanViral Nonstructural ProteinsZika VirusBiomarkersViral Nonstructural Proteinsdenguegold nanostarsimmunochemistrylateral flow assayNS1sandwich immunoassaysurface-enhanced Raman spectroscopyZika

Identifiers

PMID28875696
PMCPMC11323068
OpenAlexW2753629942

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.