Evidence map›Paper›PMID 33731349›Full record

ArticleScience advances2021

Catalytic amplification by transition-state molecular switches for direct and sensitive detection of SARS-CoV-2.

Noah R Sundah, Auginia Natalia, Yu Liu, Nicholas R Y Ho, Haitao Zhao, Yuan Chen, Qing Hao Miow, Yu Wang, Darius L L Beh, Ka Lip Chew and 4 more

Open access · goldAbstract read
In one paragraph

Article in Science advances, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.0field-weighted citation impact, top 20% 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

9 citing papers in PubMed, 23 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

14 authors at 5 institutions in 1 country.

Noah R SundahInstitute for Health Innovation&Technology, National University of Singapore, Singapore, Singapore.ORCID 0000-0003-1077-263X
Auginia NataliaInstitute for Health Innovation&Technology, National University of Singapore, Singapore, Singapore.ORCID 0000-0001-7487-6759
Yu LiuInstitute for Health Innovation&Technology, National University of Singapore, Singapore, Singapore.ORCID 0000-0001-5660-0281
Nicholas R Y HoInstitute for Health Innovation&Technology, National University of Singapore, Singapore, Singapore.ORCID 0000-0002-9031-5633
Haitao ZhaoInstitute for Health Innovation&Technology, National University of Singapore, Singapore, Singapore.ORCID 0000-0003-4462-0394
Yuan ChenInstitute for Health Innovation&Technology, National University of Singapore, Singapore, Singapore.ORCID 0000-0003-0992-0121
Qing Hao MiowDepartment of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.
Yu WangDepartment of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.
Darius L L BehDivision of Infectious Diseases, Department of Medicine, National University Hospital, Singapore, Singapore.
Ka Lip ChewDepartment of Laboratory Medicine, National University Hospital, Singapore, Singapore.ORCID 0000-0002-4654-6434
Douglas ChanDepartment of Laboratory Medicine, Ng Teng Fong General Hospital, Singapore, Singapore.ORCID 0000-0003-0052-3357
Paul A TambyahDepartment of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.ORCID 0000-0003-0405-771X
Catherine W M OngInstitute for Health Innovation&Technology, National University of Singapore, Singapore, Singapore.
Huilin ShaoInstitute for Health Innovation&Technology, National University of Singapore, Singapore, Singapore. huilin.shao@nus.edu.sg.ORCID 0000-0003-4513-1410
National University of Singapore · SGAgency for Science, Technology and Research · SGNational University Hospital · SGNational University Health System · SGNg Teng Fong General Hospital · SG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Despite the importance of nucleic acid testing in managing the COVID-19 pandemic, current detection approaches remain limited due to their high complexity and extensive processing. Here, we describe a molecular nanotechnology that enables direct and sensitive detection of viral RNA targets in native clinical samples. The technology, termed catalytic amplification by transition-state molecular switch (CATCH), leverages DNA-enzyme hybrid complexes to form a molecular switch. By ratiometric tuning of its constituents, the multicomponent molecular switch is prepared in a hyperresponsive state-the transition state-that can be readily activated upon the binding of sparse RNA targets to turn on substantial enzymatic activity. CATCH thus achieves superior performance (~8 RNA copies/μl), direct fluorescence detection that bypasses all steps of PCR (<1 hour at room temperature), and versatile implementation (high-throughput 96-well format and portable microfluidic assay). When applied for clinical COVID-19 diagnostics, CATCH demonstrated direct and accurate detection in minimally processed patient swab samples.

Indexed as

COVID-19COVID-19 Nucleic Acid TestingLab-On-A-Chip DevicesMicrofluidic Analytical TechniquesPoint-of-Care TestingHumansLimit of DetectionSARS-CoV-2

Identifiers

PMID33731349
PMCPMC7968834
OpenAlexW3136761050

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.