Evidence map›Paper›PMID 41326516›Full record

ArticleScientific reports2025

Expression and purification of NS1 protein for designing a lateral flow assay-based aptamer-antibody.

Mohammad Javad Jadidi, Hamidreza Majidifard, Ahmad Reza Ghaffari, Amir Hossein Tohidi, Hassan Morovati Khamsi, Majid Mahdavi

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

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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

3 citing papers in PubMed.

  1. Article
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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

6 authors.

Mohammad Javad JadidiDepartment of Technical and Research Lab, Arvin BioHealth Company, Tehran, Iran.
Hamidreza MajidifardGraduate Research Assistant, Department of Cell and Molecular Biology and Microbiology, University of Isfahan, Isfahan, Iran.
Ahmad Reza GhaffariInstitute of Biochemistry and Biophysics (IBB), University of Tehran, Tehran, Iran.
Amir Hossein TohidiInstitute of Biochemistry and Biophysics (IBB), University of Tehran, Tehran, Iran.
Hassan Morovati KhamsiDepartment of Technical and Research Lab, Arvin BioHealth Company, Tehran, Iran. h_morovati@yahoo.com.
Majid MahdaviInstitute of Biochemistry and Biophysics (IBB), University of Tehran, Tehran, Iran. majidmahdavi@ut.ac.ir.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Dengue fever, a mosquito-borne viral disease, presents with mild symptoms in most patients but is characterized by dengue hemorrhagic fever (DHF) in severe cases. Current diagnostic methods are expensive and take time to process. Diagnostic testing is currently limited, particularly in low-resource environments. In this work, we provide the development of a rapid diagnostic test for dengue using a lateral flow immunoassay (LFA) strip using an aptamer-antibody sandwich to detect the NS1 protein. The LFA includes an antibody capture zone and a conjugate pad with an aptamer linked to gold nanoparticles (AuNPs). A biotin-labeled complementary aptamer is immobilized in the control zone on streptavidin, forming a sandwich format. In the presence of the NS1 protein, it binds to the antibody and the aptamer-AuNP complex, producing a visible bichromatic line to indicate a positive result. The LFA detects DENV2 NS1 at concentrations as low as 5.2 ng/mL (95% CI: 4.6-5.8) in buffer. With a detection limit of 6.1 ng/mL (95% CI: 5.5-6.8) in spiked human serum, the test may offer a promising approach, pending further clinical evaluation approach for early dengue diagnosis.

Indexed as

Aptamers, NucleotideDengueViral Nonstructural ProteinsDengue VirusGoldHumansImmunoassayLimit of DetectionMetal NanoparticlesAptamers, NucleotideGoldNS1 protein, Dengue virus type 2Viral Nonstructural ProteinsAptamerDengue feverLateral flow immunoassay (LFA)NS1 proteinRecombinant protein

Identifiers

PMID41326516
PMCPMC12775495

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Registered trials

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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.