Evidence map›Paper›PMID 32501770›Full record

ReviewAnnual review of biomedical engineering2020

Point-of-Care Devices to Detect Zika and Other Emerging Viruses.

Helena de Puig, Irene Bosch, James J Collins, Lee Gehrke

Abstract readReview
In one paragraph

Review in Annual review of biomedical engineering, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
–field-weighted citation impact
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

14 citing papers in PubMed.

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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

4 authors.

Helena de PuigInstitute for Medical Engineering and Science, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA; email: hpuig@mit.edu, jmjc@mit.edu, lgehrke@mit.edu.
Irene BoschE25Bio Inc., Cambridge, Massachusetts 02139, USA; email: ibosch@e25bio.com.
James J CollinsInstitute for Medical Engineering and Science, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA; email: hpuig@mit.edu, jmjc@mit.edu, lgehrke@mit.edu.
Lee GehrkeInstitute for Medical Engineering and Science, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA; email: hpuig@mit.edu, jmjc@mit.edu, lgehrke@mit.edu.

Funding

Virology Core: MIT Center for Human Tissue Models for Infectious Diseases (MIT.HTMID)U19AI131135 · NIAID · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI GEHRKE, LEE · 2017 to 2021
$8.7M
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 AI100190NIAID NIH HHS U19 AI131135
6 · The paper itself

Abstract

Rapid diagnostic tests (point-of-care devices) are critical components of informed patient care and public health monitoring (surveillance applications). We propose that among the many rapid diagnostics platforms that have been tested or are in development, lateral flow immunoassays and synthetic biology-based diagnostics (including CRISPR-based diagnostics) represent the best overall options given their ease of use, scalability for manufacturing, sensitivity, and specificity. This review describes the identification of lateral flow immunoassay monoclonal antibody pairs that detect and distinguish between closely related pathogens and that are used in combination with functionalized multicolored nanoparticles and computational methods to deconvolute data. We also highlight the promise of synthetic biology-based diagnostic tests, which use synthetic genetic circuits that activate upon recognition of a pathogen-associated nucleic acid sequence, and discuss how the combined or parallel use of lateral flow immunoassays and synthetic biology tools may represent the future of scalable rapid diagnostics.

Indexed as

Point-of-Care SystemsZika VirusAnimalsComputational BiologyCRISPR-Cas SystemsDNAHumansImmunoassayMetal NanoparticlesMiceNanoparticlesNanotechnologyNucleic AcidsSensitivity and SpecificitySynthetic BiologyZika Virus InfectionDNANucleic AcidsCRISPR/Caslateral flow immunoassaymonoclonal antibodyrapid diagnostic testSHERLOCKsynthetic biologysynthetic genetic circuitvirus

Identifiers

PMID32501770
PMCPMC13100999

What OpenQuestion holds

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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.