Evidence map›Paper›PMID 40332168›Full record

ArticleInternational journal of molecular sciences2025

Multicomponent DNA Nanomachines for Amplification-Free Viral RNA Detection.

Valeria V Solyanikova, Daria A Gorbenko, Valeriya V Zryacheva, Anna A Shtro, Maria S Rubel

Abstract read
In one paragraph

Article in International journal of molecular sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Valeria V SolyanikovaDNA-Nanosensoric Diagnostic Lab., ITMO University, 9 Lomonosova St., 191002 St. Petersburg, Russia.
Daria A GorbenkoDNA-Nanosensoric Diagnostic Lab., ITMO University, 9 Lomonosova St., 191002 St. Petersburg, Russia.ORCID 0000-0002-7990-9094
Valeriya V ZryachevaSmorodintsev Research Institute of Influenza, 15/17 Prof. Popova St., 197022 St. Petersburg, Russia.
Anna A ShtroSmorodintsev Research Institute of Influenza, 15/17 Prof. Popova St., 197022 St. Petersburg, Russia.
Maria S RubelDNA-Nanosensoric Diagnostic Lab., ITMO University, 9 Lomonosova St., 191002 St. Petersburg, Russia.ORCID 0000-0002-5991-6772

Funding

Russian Scientific Foundation 22-75-10073
6 · The paper itself

Abstract

The rapid and accurate detection of viral infections is of paramount importance, given their widespread impact across diverse demographics. Common viruses such as influenza, parainfluenza, rhinovirus, and adenovirus contribute significantly to respiratory illnesses. The pathogenic nature of certain viruses, characterized by rapid mutations and high transmissibility, underscores the urgent need for dynamic detection methodologies. Quantitative reverse transcription PCR (RT-qPCR) remains the gold-standard diagnostic tool. Its reliance on costly equipment, reagents, and skilled personnel has driven explorations of alternative approaches, such as catalytic DNA nanomachines. Diagnostic platforms using catalytic DNA nanomachines offer amplification-free nucleic acid detection without the need for protein enzymes and demonstrate feasibility and cost-effectiveness for both laboratory and point-of-care diagnostics. This study focuses on the development of multicomponent DNA nanomachines with catalytic proficiency towards a fluorescent substrate, enabling the generation of a fluorescent signal upon the presence of target nucleic acids. Specifically tailored variants are designed for detecting human parainfluenza virus type 3 (HPIV) and respiratory syncytial virus (RSV). The engineered DNA nanomachine features six RNA-binding arms for recognition and unwinding of RNA secondary structures, along with a catalytic core for nucleic acid cleavage, indicating potential utility in real clinical practice with minimal requirements. This research showcases the potential of DNA nanomachines as a reliable and sensitive diagnostic tool for RNA virus identification, offering promising prospects for clinical applications in the realm of infectious disease management.

Indexed as

DNA, CatalyticRNA, ViralHumansRespiratory Syncytial VirusesDNA, CatalyticRNA, Viralamplification-free detectionDNA nanosensorsDNAzymesmulticomponent DNA nanomachinespoint-of-care diagnosticsviral RNA

Identifiers

PMID40332168
PMCPMC12026728

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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.