Evidence map›Paper›PMID 41893404›Full record

ArticleTropical medicine and infectious disease2026

Mutations in the NS5 RdRp Domain of Zika and Dengue Viruses: Insights into Molecular Patterns in Inland Midwestern Brazil.

José Henrique Francisco Roma, Rachel Cruz Alves, Bruno Moreira Carneiro, Renata Dezengrini Slhessarenko, Juliana Helena Chavez-Pavoni, Mariângela Ribeiro Resende

Abstract read
In one paragraph

Article in Tropical medicine and infectious disease, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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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.

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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

6 authors.

José Henrique Francisco RomaPrograma de Pós-graduação em Clínica Médica, Faculdade de Ciências Médicas, Universidade Estadual de Campinas, Campinas 13083-894, Brazil.ORCID 0000-0001-7990-6750
Rachel Cruz AlvesFaculdade de Ciências da Saúde, Universidade Federal de Rondonópolis, Rondonopolis 78736-900, Brazil.
Bruno Moreira CarneiroFaculdade de Ciências da Saúde, Universidade Federal de Rondonópolis, Rondonopolis 78736-900, Brazil.ORCID 0000-0002-2355-7907
Renata Dezengrini SlhessarenkoFaculdade de Medicina, Universidade Federal de Mato Grosso, Cuiaba 78060-900, Brazil.
Juliana Helena Chavez-PavoniFaculdade de Ciências da Saúde, Universidade Federal de Rondonópolis, Rondonopolis 78736-900, Brazil.ORCID 0000-0003-2568-9601
Mariângela Ribeiro ResendePrograma de Pós-graduação em Clínica Médica, Faculdade de Ciências Médicas, Universidade Estadual de Campinas, Campinas 13083-894, Brazil.

Funding

Fundação de Amparo à Pesquisa do Estado de Mato Grosso 0226317/2017National Council for Scientific and Technological Development 432056/2016-5
6 · The paper itself

Abstract

In countries where Dengue virus is endemic, the occurrence of outbreaks and epidemic events is strongly associated with viral genomic evolution. In addition, the introduction of a new agent, such as Zika virus, in a naive population and its concomitant circulation may increase mutations and virulence. This study aimed to characterize the molecular patterns and circulation of Zika and Dengue viruses inland of midwestern Brazil. Samples from reported cases of zika and dengue fever were subjected to molecular and phylogenetic analyses. Partial genomes of these viruses were recovered and characterized from six samples. Phylogenetic analysis revealed that the Zika virus clustered within the American strain of Asian/American lineage and Dengue virus grouped within the Brazilian lineage (BR04) of serotype 2 from the Asian/American genotype. Amino acid substitutions, and consequently nonsynonymous mutations, were identified in the RdRp domain of the NS5 protein coding region in the recovered genomes from both viruses. These findings highlight the importance of molecular epidemiological surveillance, especially in endemic regions with cocirculation and substantial epidemic risk. Ongoing monitoring efforts are crucial to better understand viral evolution and its potential impact on future outbreaks and epidemic dynamics.

Indexed as

arbovirusesDengue virusgenomic surveillancemolecular epidemiologymutationsphylogenetic analysisZika virus

Identifiers

PMID41893404
PMCPMC13030772

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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.