ArticleBiology2023
The Diagnostic Potential of RNA Aptamers against the NS1 Protein of Dengue Virus Serotype 2.
Article in Biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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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.
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Who cites it
10 citing papers in PubMed, 14 citations in OpenAlex.
- Translational opportunities in aptamer and nanobody lateral flow assays within the WHO REASSURED framework.Sensors & diagnostics · 2026Review
- Isolation of DNA aptamers by Tripartite-hybrid-high throughput SELEX (Tripartite-hybrid-HT SELEX) for the detection of pathogenic Leptospira.World journal of microbiology & biotechnology · 2025Article
- Aptamer as a therapeutic agent for dengue infections.Virology journal · 2025Review
- Molecular dynamics simulations reveal mechanistic insights into aptamer-induced structural rearrangements in viral capsid proteins.Journal of computer-aided molecular design · 2025Article
- Portable Point-of-Care Diagnosis Platforms and Emerging Predictive Biomarkers for Rapid Detection of Severe Dengue Viral Infection.ACS sensors · 2025Review
- Clinical and Laboratory Features and Treatment Outcomes of Dengue Fever in Pediatric Cases.Cureus · 2024Article
- Development and characterization of high-affinity aptamers for HIV protease detection.Heliyon · 2024Article
- New Insights into Aptamers: An Alternative to Antibodies in the Detection of Molecular Biomarkers.International journal of molecular sciences · 2024Review
- The diagnostic potentiality of the RNA aptamer against progesterone receptor isolated by crush and soak (CRUSOAK)-SELEX.Mikrochimica acta · 2024Article
- Aptamers: precision tools for diagnosing and treating infectious diseases.Frontiers in cellular and infection microbiology · 2024Review
Corrections and comments
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Authors and funding
7 authors at 3 institutions in 3 countries.
Funding
Abstract
Dengue infection, caused by the dengue virus, is a global threat which requires immediate attention and appropriate disease management. The current diagnosis of dengue infection is largely based on viral isolation, RT-PCR and serology-based detection, which are time-consuming and expensive, and require trained personnel. For early diagnosis of dengue, the direct detection of a dengue antigenic target is efficacious, and one such target is NS1. NS1-based detection is primarily antibody-centric and is beset by drawbacks pertaining to antibodies such as the high cost of synthesis and large batch-to-batch variation. Aptamers are potential surrogates of antibodies and are much cheaper, without exhibiting batch-to-batch variation. Given these advantages, we sought to isolate RNA aptamers against the NS1 protein of dengue virus serotype 2. A total of 11 cycles of SELEX were carried out, resulting in two potent aptamers, DENV-3 and DENV-6, with dissociation constant values estimated at 37.57 ± 10.34 nM and 41.40 ± 9.29 nM, respectively. These aptamers can be further miniaturized to TDENV-3 and TDENV-6a with an increased LOD upon their usage in direct ELASA. Moreover, these truncated aptamers are highly specific against the dengue NS1 while showing no cross-reactivity against the NS1 of the Zika virus, the E2 protein of the Chikungunya virus or the LipL32 protein of Leptospira, with target selectivity retained even in human serum. The usage of TDENV-3 as the capturing probe and TDENV-6a as the detection probe underpinned the development of an aptamer-based sandwich ELASA for the detection of dengue NS1. The sensitivity of the sandwich ELASA was further improved with the stabilization of the truncated aptamers and the repeated incubation strategy, which enabled a LOD of 2 nM when used with the target NS1 spiked in human serum diluted at 1:2000.
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Registered trials
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.