Evidence map›Paper›PMID 38424268›Full record

ArticleBrazilian journal of microbiology : [publication of the Brazilian Society for Microbiology]2024

Quantitative detection of chikungunya, Zika, and dengue viruses by one-step real-time PCR in different cell substrates.

Andrés F Cuellar-Quimbaya, Ana Luisa Muñoz, Yoelis Yepez-Perez, Ingrid DJiménez C, Anny K Rodríguez, Nidya Alexandra Segura, Felio Bello, Mónica Losada-Barragán

Open access · greenAbstract readEvaluation Study
In one paragraph

Article in Brazilian journal of microbiology : [publication of the Brazilian Society for Microbiology], 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
2.2field-weighted citation impact, top 14% of its field
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

2 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. 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

8 authors at 4 institutions in 1 country.

Andrés F Cuellar-QuimbayaFaculty of Science, Universidad Antonio Nariño (UAN), Sede Circunvalar. Cra. 3 Este # 47A - 15, 110231, Bogotá, Colombia.
Ana Luisa MuñozFaculty of Science, Universidad Antonio Nariño (UAN), Sede Circunvalar. Cra. 3 Este # 47A - 15, 110231, Bogotá, Colombia.
Yoelis Yepez-PerezPhD Program in Biomedical and Biological Sciences, Universidad del Rosario, 111321, Bogotá, Colombia.
Ingrid DJiménez CFaculty of Science, Universidad Pedagógica y Tecnológica de Colombia (UPTC), 150003, Tunja, Colombia.
Anny K RodríguezFaculty of Science, Universidad Antonio Nariño (UAN), Sede Circunvalar. Cra. 3 Este # 47A - 15, 110231, Bogotá, Colombia.
Nidya Alexandra SeguraFaculty of Science, Universidad Pedagógica y Tecnológica de Colombia (UPTC), 150003, Tunja, Colombia.
Felio BelloFaculty of Agricultural and Livestock Sciences, Program of Veterinary Medicine, Universidad de La Salle, 110141, Bogotá, Colombia.
Mónica Losada-BarragánFaculty of Science, Universidad Antonio Nariño (UAN), Sede Circunvalar. Cra. 3 Este # 47A - 15, 110231, Bogotá, Colombia. monica.losada@uan.edu.co.ORCID http://orcid.org/0000-0003-1141-1828
Universidad Antonio Nariño · COPedagogical and Technological University of Colombia · COUniversidad del Rosario · COUniversity of La Salle · CO

Funding

Minciencias 124380864546 - contract CT. FP 80740- 152-2019.
6 · The paper itself

Abstract

Chikungunya (CHIKV), Zika (ZIKV), and dengue viruses (DENV) are vector-borne pathogens that cause emerging and re-emerging epidemics throughout tropical and subtropical countries. The symptomatology is similar among these viruses and frequently co-circulates in the same areas, making the diagnosis arduous. Although there are different methods for detecting and quantifying pathogens, real-time reverse transcription-polymerase chain reaction (real-time RT-qPCR) has become a leading technique for detecting viruses. However, the currently developed assays frequently involve probes and high-cost reagents, limiting access in low-income countries. Therefore, this study aims to design and evaluate a quantitative one-step RT-qPCR assay to detect CHIKV, ZIKV, and DENV with high specificity, reproducibility, and low cost in multiple cell substrates. We established a DNA intercalating green dye-based RT-qPCR test that targets nsP1 of CHIKV, and NS5 gene of ZIKV, and DENV for the amplification reaction. The assay exhibited a high specificity confirmed by the melting curve analysis. No cross-reactivity was observed between the three viruses or unspecific amplification of host RNA. The sensitivity of the reaction was evaluated for each virus assay, getting a limit of detection of one RNA copy per virus. Standard curves were constructed, obtaining a reaction efficiency of ~ 100%, a correlation coefficient (R

Indexed as

Chikungunya FeverChikungunya virusDengue VirusReal-Time Polymerase Chain ReactionSensitivity and SpecificityZika VirusZika Virus InfectionAnimalsCell LineChlorocebus aethiopsDengueHumansReproducibility of ResultsRNA, ViralVero CellsRNA, ViralCHIKVDENVRT-qPCRZIKV

Identifiers

PMID38424268
PMCPMC11153482
OpenAlexW4392352803

What OpenQuestion holds

Textmetadata
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.