Evidence map›Paper›PMID 38817589›Full record

ArticleChemical science2024

DNA-directed formation of plasmonic core-satellite nanostructures for quantification of hepatitis C viral RNA.

Siddhant Jaitpal, Ka Wai Ng, Angela Michelle San Juan, Cecilia Martinez, Christian Phillips, Sayantan Tripathy, Samuel Mabbott

Abstract read
In one paragraph

Article in Chemical science, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 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

7 authors.

Siddhant JaitpalDepartment of Biomedical Engineering, Texas A&M University 600 Discovery Drive College Station TX 77840-3006 USA smabbott@tamu.edu.ORCID https://orcid.org/0000-0001-5780-7225
Ka Wai NgDepartment of Biomedical Engineering, Texas A&M University 600 Discovery Drive College Station TX 77840-3006 USA smabbott@tamu.edu.
Angela Michelle San JuanDepartment of Biomedical Engineering, Texas A&M University 600 Discovery Drive College Station TX 77840-3006 USA smabbott@tamu.edu.ORCID https://orcid.org/0000-0001-7502-3133
Cecilia MartinezDepartment of Biomedical Engineering, Texas A&M University 600 Discovery Drive College Station TX 77840-3006 USA smabbott@tamu.edu.
Christian PhillipsDepartment of Biomedical Engineering, Texas A&M University 600 Discovery Drive College Station TX 77840-3006 USA smabbott@tamu.edu.
Sayantan TripathyDepartment of Biomedical Engineering, Texas A&M University 600 Discovery Drive College Station TX 77840-3006 USA smabbott@tamu.edu.
Samuel MabbottDepartment of Biomedical Engineering, Texas A&M University 600 Discovery Drive College Station TX 77840-3006 USA smabbott@tamu.edu.ORCID https://orcid.org/0000-0003-4926-5467

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hepatitis C virus (HCV) continues to be a significant public health challenge, affecting an estimated 71 million people globally and posing risks of severe liver diseases. Despite advancements in treatments, diagnostic limitations hinder the global elimination efforts targeted by 2030. This study introduces an innovative diagnostic approach, integrating catalytic hairpin assembly (CHA) with plasmonic core-satellite gold nanoparticle (AuNP) assemblies, to enable sensitive and specific detection of HCV RNA. We optimized the stoichiometry of DNA hairpins to form highly stable three-way junctions (3WJs), minimizing non-specific reactions in an enzyme-free, isothermal amplification process. The resulting dual-transduction biosensor combines colorimetric and surface-enhanced Raman spectroscopy (SERS) techniques, utilizing the Raman reporter malachite green isothiocyanate (MGITC) for signal generation. Our system targets a conserved 23-nucleotide sequence within the HCV 5'-UTR, essential for RNA replication, facilitating pan-genotypic HCV detection that complements direct-acting antiviral strategies. We evaluated the biosensor's efficacy using fluorescence spectroscopy, native PAGE, AFM, and TEM. Findings indicate that the 60 nm core AuNPs surrounded by 20 nm satellite AuNPs achieved a ten-fold increase in sensitivity over the 10 nm satellites, detecting HCV RNA concentrations as low as 1.706 fM. This sensitivity is crucial, given the extremely low viral loads present during early infection stages. Our research demonstrates the promise of enzyme-free molecular biosensors for HCV, with the potential to provide cost-efficient, rapid, point-of-care testing, although further sensitivity enhancements are needed to address the challenges of early-stage detection.

Identifiers

PMID38817589
PMCPMC11134388

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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.