Evidence map›Paper›PMID 41171893›Full record

ArticlePLoS neglected tropical diseases2025

Engineered Nanobodies for early and accurate diagnosis of dengue virus infection.

María Florencia Pavan, Cristian Miguel Malnero, María Emilia Mora Alvarado, María Camila Carzoglio, Yesica Paredes Rojas, Agostina Bruno, Laura Perez Vidakovics, Leo Hanke, Alejandro Castello, Gerald McInerney and 3 more

Abstract read
In one paragraph

Article in PLoS neglected tropical diseases, 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

13 authors.

María Florencia PavanLaboratorio de Ingeniería de Anticuerpos. Instituto de Química Física de los Materiales, Medio Ambiente y Energía (INQUIMAE), Universidad de Buenos Aires, Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Ciudad Autónoma de Buenos Aires, Argentina.
Cristian Miguel MalneroCentro de Virología Humana y Animal (CEVHAN), Instituto de Ciencia y Tecnología Dr. César Milstein, Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Ciudad Autónoma de Buenos Aires, Argentina.
María Emilia Mora AlvaradoLaboratorio de Ingeniería de Anticuerpos. Instituto de Química Física de los Materiales, Medio Ambiente y Energía (INQUIMAE), Universidad de Buenos Aires, Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Ciudad Autónoma de Buenos Aires, Argentina.
María Camila CarzoglioLaboratorio de Inmunología y Virología. Instituto de Microbiología Básica y Aplicada. Departamento de Ciencia y Tecnología. Universidad Nacional de Quilmes. (UNQUI), Buenos Aires, Argentina.
Yesica Paredes RojasCentro de Virología Humana y Animal (CEVHAN), Instituto de Ciencia y Tecnología Dr. César Milstein, Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Ciudad Autónoma de Buenos Aires, Argentina.
Agostina BrunoHospital San Vicente de Paul, Laboratorio de Enfermedades Tropicales. Orán, Salta, Argentina.
Laura Perez VidakovicsDivision of Virology and Immunology, Department of Microbiology, Tumor and Cell Biology, Karolinska Institutet, Stockholm, Sweden.
Leo HankeDivision of Virology and Immunology, Department of Microbiology, Tumor and Cell Biology, Karolinska Institutet, Stockholm, Sweden.
Alejandro CastelloLaboratorio de Inmunología y Virología. Instituto de Microbiología Básica y Aplicada. Departamento de Ciencia y Tecnología. Universidad Nacional de Quilmes. (UNQUI), Buenos Aires, Argentina.
Gerald McInerneyDivision of Virology and Immunology, Department of Microbiology, Tumor and Cell Biology, Karolinska Institutet, Stockholm, Sweden.
Cybele Carina GarcíaLaboratorio de Estrategias Antivirales. Departamento de Química Biológica (QB), Universidad de Buenos Aires, Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Ciudad Autónoma de Buenos Aires, Argentina.
Viviana ParreñoIncuinta, Instituto Nacional de Tecnología Agropecuaria (INTA), Instituto de Virología e Innovaciones Tecnológicas, Consejo Nacional de Investigaciones Científicas y Técnicas (IVIT-CONICET), Buenos Aires, Argentina.
Lorena Itatí IbañezLaboratorio de Ingeniería de Anticuerpos. Instituto de Química Física de los Materiales, Medio Ambiente y Energía (INQUIMAE), Universidad de Buenos Aires, Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Ciudad Autónoma de Buenos Aires, Argentina.ORCID 0000-0002-9393-2004

Funding

Agencia Nacional de Promoción de la Investigación, el Desarrollo Tecnológico y la InnovaciónMinisterio de Ciencia, Tecnología e Innovación
6 · The paper itself

Abstract

backgroundDengue virus (DENV), a mosquito-borne flavivirus responsible for dengue disease, has emerged as an escalating global health concern, with cases increasing sharply in recent decades. In Argentina, dengue has transitioned from a sporadic disease to a recurrent epidemic, now affecting 18 of 23 provinces and exposing gaps in diagnostic capacity. METHODOLOGY AND PRINCIPAL

findingsThe DENV genome encodes the non-structural protein 1 (NS1), a key biomarker for early infection detection. Given the limited access to commercially available diagnostic kits within the public health system, we developed a combined ELISA system incorporating Nanobodies designed to target NS1 across all four DENV serotypes as detection antibodies. This system demonstrates excellent discriminative performance (AUC > 0.9), with a diagnostic sensitivity of 93.6% (95% CI: 86.6-97.6%) and a specificity of 81.1% (95% CI: 70.3-89.3%). The analytical sensitivity showed strong correlation between sera pool dilutions and detected signals, with a limit of detection aligning with reported NS1 concentrations in human samples. While the system exhibits limitations in detecting NS1 from DENV-4, it successfully identified cases in patients five days post-symptom onset who were initially considered epidemiologically negative for dengue infection. SIGNIFICANCE: Our results underscore the urgent need for accessible, high-precision diagnostic tools in regions facing a surge in dengue outbreaks. Additionally, they highlight the necessity of revising current diagnostic algorithms to enhance the detection of late-presenting cases.

Indexed as

Antibodies, ViralDengueDengue VirusSingle-Domain AntibodiesAnimalsArgentinaEarly DiagnosisEnzyme-Linked Immunosorbent AssayHumansSensitivity and SpecificityViral Nonstructural ProteinsAntibodies, ViralSingle-Domain AntibodiesViral Nonstructural Proteins

Identifiers

PMID41171893
PMCPMC12591456

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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.