Evidence map›Paper›PMID 41855173›Full record

ArticlePLoS neglected tropical diseases2026

A miniaturized, frugal RPA assay for genus-level detection of Paracoccidioides spp. in resource-limited endemic settings.

Melina Noelia Lorenzini Campos, Raúl Maximiliano Acevedo, Gabriela Alejandra Massa, Laura Elena Valinotto, Luis Hernando Corredor Sanguña, Mario Alberto Piz, Raúl Horacio Lucero, Florencia Rojas, Laura Belén Formichelli, Liliana Silvina Lösch and 2 more

Abstract readEvaluation Study
In one paragraph

Article in PLoS neglected tropical diseases, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

12 authors.

Melina Noelia Lorenzini CamposConsejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Ciudad Autónoma de Buenos Aires, Argentina.ORCID https://orcid.org/0009-0003-9092-3879
Raúl Maximiliano AcevedoConsejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Ciudad Autónoma de Buenos Aires, Argentina.
Gabriela Alejandra MassaConsejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Ciudad Autónoma de Buenos Aires, Argentina.
Laura Elena ValinottoConsejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Ciudad Autónoma de Buenos Aires, Argentina.
Luis Hernando Corredor SanguñaConsejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Ciudad Autónoma de Buenos Aires, Argentina.
Mario Alberto PizFacultad Regional Resistencia, Universidad Tecnológica Nacional (UTN), Resistencia, Argentina.
Raúl Horacio LuceroInstituto de Medicina Regional (IMR), Universidad Nacional del Nordeste (UNNE), Resistencia, Argentina.
Florencia RojasConsejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Ciudad Autónoma de Buenos Aires, Argentina.
Laura Belén FormichelliInstituto de Medicina Regional (IMR), Universidad Nacional del Nordeste (UNNE), Resistencia, Argentina.
Liliana Silvina LöschInstituto de Medicina Regional (IMR), Universidad Nacional del Nordeste (UNNE), Resistencia, Argentina.
Javier Esteban MussinConsejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Ciudad Autónoma de Buenos Aires, Argentina.
Gustavo GiusianoConsejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Ciudad Autónoma de Buenos Aires, Argentina.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundParacoccidioidomycosis (PCM) is a neglected systemic mycosis endemic to Latin America, where diagnosis is often delayed due to limited access to rapid, simple confirmatory testing tools in resource-limited settings. This gap creates a critical need for accessible detection methods of its causative agent, Paracoccidioides spp., that can be deployed in frontline healthcare facilities. METHODOLOGY/PRINCIPAL

findingsWe developed a frugal Recombinase Polymerase Amplification (RPA) assay targeting a conserved region of the internal transcribed spacer (ITS) locus for genus-level detection of Paracoccidioides spp. Primer specificity was evaluated in silico and experimentally against phylogenetically related fungi and clinically relevant pathogens, with no cross-reactivity observed. The assay robustly amplified across multiple Paracoccidioides lineages, and all products were validated by Sanger sequencing. The analytical limit of detection (LoD) was 1 pg of genomic DNA per 8 µL reaction, demonstrated by UV-based SYBR Green I visualization, agarose gel electrophoresis, and Qubit fluorometric assessment. Key optimizations included reaction miniaturization from 50 µL to 8 µL and a simple freeze-boil lysis compatible with crude fungal biomass extracts, avoiding the need for commercial extraction kits, lengthy protocols and expensive equipment. CONCLUSIONS/SIGNIFICANCE: This RPA assay offers a rapid, affordable, and operationally simple molecular tool specifically designed for the detection of Paracoccidioides DNA. Its ability to work with crude lysates and miniaturized reaction volumes supports its implementation in resource-limited endemic areas. Although clinical validation remains necessary, this assay constitutes a practical foundation for expanding molecular diagnostic capacity for PCM in underserved regions. This work demonstrates how frugal methodological strategies can support equitable access to molecular detection tools.

Indexed as

Molecular Diagnostic TechniquesNucleic Acid Amplification TechniquesParacoccidioidesParacoccidioidomycosisDNA, FungalDNA PrimersDNA, Ribosomal SpacerHumansLatin AmericaMiniaturizationRapid Diagnostic TestsRecombinasesSensitivity and SpecificityDNA, FungalDNA PrimersDNA, Ribosomal SpacerRecombinases

Identifiers

PMID41855173
PMCPMC13001947

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.