Evidence map›Paper›PMID 38719936›Full record

ArticleScientific reports2024

Development and evaluation of a lyophilization protocol for colorimetric RT-LAMP diagnostic assay for COVID-19.

Nayra Oliveira Prado, Anelis Maria Marin, Larissa Araujo Lalli, Heloisa Bruna Soligo Sanchuki, Denise Kusma Wosniaki, Jeanine Marie Nardin, Hugo Manoel Paz Morales, Lucas Blanes, Dalila Luciola Zanette, Mateus Nóbrega Aoki

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. A Dual-Gene Colorimetric LAMP Assay for Genus-Level Detection ofInternational journal of molecular sciences · 2025
    Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. 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

10 authors.

Nayra Oliveira PradoLaboratory for Applied Science and Technology in Health, Carlos Chagas Institute, Oswaldo Cruz Foundation (Fiocruz), Prof. Algacyr Munhoz Mader 3775 Street, Curitiba, 81350-010, Brazil.
Anelis Maria MarinLaboratory for Applied Science and Technology in Health, Carlos Chagas Institute, Oswaldo Cruz Foundation (Fiocruz), Prof. Algacyr Munhoz Mader 3775 Street, Curitiba, 81350-010, Brazil.
Larissa Araujo LalliLaboratory for Applied Science and Technology in Health, Carlos Chagas Institute, Oswaldo Cruz Foundation (Fiocruz), Prof. Algacyr Munhoz Mader 3775 Street, Curitiba, 81350-010, Brazil.
Heloisa Bruna Soligo SanchukiLaboratory for Applied Science and Technology in Health, Carlos Chagas Institute, Oswaldo Cruz Foundation (Fiocruz), Prof. Algacyr Munhoz Mader 3775 Street, Curitiba, 81350-010, Brazil.
Denise Kusma WosniakiLaboratory for Applied Science and Technology in Health, Carlos Chagas Institute, Oswaldo Cruz Foundation (Fiocruz), Prof. Algacyr Munhoz Mader 3775 Street, Curitiba, 81350-010, Brazil.
Jeanine Marie NardinErasto Gaertner Hospital, Dr. Ovande Do Amaral 201 Street, Curitiba, Paraná, 81520-060, Brazil.
Hugo Manoel Paz MoralesErasto Gaertner Hospital, Dr. Ovande Do Amaral 201 Street, Curitiba, Paraná, 81520-060, Brazil.
Lucas BlanesLaboratory for Applied Science and Technology in Health, Carlos Chagas Institute, Oswaldo Cruz Foundation (Fiocruz), Prof. Algacyr Munhoz Mader 3775 Street, Curitiba, 81350-010, Brazil.
Dalila Luciola ZanetteLaboratory for Applied Science and Technology in Health, Carlos Chagas Institute, Oswaldo Cruz Foundation (Fiocruz), Prof. Algacyr Munhoz Mader 3775 Street, Curitiba, 81350-010, Brazil.
Mateus Nóbrega AokiLaboratory for Applied Science and Technology in Health, Carlos Chagas Institute, Oswaldo Cruz Foundation (Fiocruz), Prof. Algacyr Munhoz Mader 3775 Street, Curitiba, 81350-010, Brazil. mateus.aoki@fiocruz.br.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Molecular diagnostics involving nucleic acids (DNA and RNA) are regarded as extremely functional tools. During the 2020 global health crisis, efforts intensified to optimize the production and delivery of molecular diagnostic kits for detecting SARS-CoV-2. During this period, RT-LAMP emerged as a significant focus. However, the thermolability of the reagents used in this technique necessitates special low-temperature infrastructure for transport, storage, and conservation. These requirements limit distribution capacity and necessitate cost-increasing adaptations. Consequently, this report details the development of a lyophilization protocol for reagents in a colorimetric RT-LAMP diagnostic kit to detect SARS-CoV-2, facilitating room-temperature transport and storage. We conducted tests to identify the ideal excipients that maintain the molecular integrity of the reagents and ensure their stability during room-temperature storage and transport. The optimal condition identified involved adding 5% PEG 8000 and 75 mM trehalose to the RT-LAMP reaction, which enabled stability at room temperature for up to 28 days and yielded an analytical and diagnostic sensitivity and specificity of 83.33% and 90%, respectively, for detecting SARS-CoV-2. This study presents the results of a lyophilized colorimetric RT-LAMP COVID-19 detection assay with diagnostic sensitivity and specificity comparable to RT-qPCR, particularly in samples with high viral load.

Indexed as

ColorimetryCOVID-19Freeze DryingMolecular Diagnostic TechniquesNucleic Acid Amplification TechniquesRNA, ViralSARS-CoV-2COVID-19 Nucleic Acid TestingHumansReagent Kits, DiagnosticSensitivity and SpecificityReagent Kits, DiagnosticRNA, ViralColorimetric kitCOVID-19LyophilizationRT-LAMP

Identifiers

PMID38719936
PMCPMC11078981

What OpenQuestion holds

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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.