Evidence map›Paper›PMID 41403717›Full record

ArticleLancet regional health. Americas2026

Dengue virus genetic diversity in unvaccinated and vaccinated dengue-infected individuals: an observational analysis of the Butantan-DV phase 3 trial in Brazil.

Lívia Sacchetto, Beatriz de Carvalho Marques, Cecília Artico Banho, Victoria Bernardi, Cássia Fernanda Estofolete, Cecília Luiza Simões Dos Santos, Maria do Carmo Sampaio Tavares Timenetsky, Marcus Vinícius Guimarães de Lacerda, Angela Carvalho Freitas, Dhelio Batista Pereira and 18 more

Abstract read
In one paragraph

Article in Lancet regional health. Americas, 2026. 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

28 authors.

Lívia SacchettoFaculdade de Medicina de São José do Rio Preto (FAMERP), São José do Rio Preto, SP, Brazil.
Beatriz de Carvalho MarquesFaculdade de Medicina de São José do Rio Preto (FAMERP), São José do Rio Preto, SP, Brazil.
Cecília Artico BanhoFaculdade de Medicina de São José do Rio Preto (FAMERP), São José do Rio Preto, SP, Brazil.
Victoria BernardiFaculdade de Medicina de São José do Rio Preto (FAMERP), São José do Rio Preto, SP, Brazil.
Cássia Fernanda EstofoleteFaculdade de Medicina de São José do Rio Preto (FAMERP), São José do Rio Preto, SP, Brazil.
Cecília Luiza Simões Dos SantosInstituto Adolfo Lutz (IAL), São Paulo, SP, Brazil.
Maria do Carmo Sampaio Tavares TimenetskyInstituto Adolfo Lutz (IAL), São Paulo, SP, Brazil.
Marcus Vinícius Guimarães de LacerdaFundação de Medicina Tropical Dr. Heitor Vieira Dourado (FMT-HVD), Manaus, AM, Brazil.
Angela Carvalho FreitasHospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo (HCFMUSP), São Paulo, SP, Brazil.
Dhelio Batista PereiraCentro de Pesquisa em Medicina Tropical de Rondônia (CEP/CEPEM), Porto Velho, RO, Brazil.
Allex Jardim da FonsecaUniversidade Federal de Roraima (UFRR), Boa Vista, RR, Brazil.
Ricardo Queiroz GurgelUniversidade Federal de Sergipe (UFS), Laranjeiras, SE, Brazil.
Ivo Castelo-Branco CoelhoFaculdade de Medicina da Universidade Federal do Ceará (FAMED/UFC), Fortaleza, CE, Brazil.
Cor Jesus Fernandes FontesHospital Universitário Júlio Muller, Universidade Federal de Mato Grosso (HUJM-UFMT), Cuiabá, MT, Brazil.
Ernesto Torres de Azevedo Marques JúniorInstituto Aggeu Magalhães, Fundação Oswaldo Cruz, Recife, PE, Brazil.
Gustavo Adolfo Sierra RomeroNúcleo de Medicina Tropical, Faculdade de Medicina, Universidade de Brasília, Brasília, DF, Brazil.
Mauro Martins TeixeiraCentre for Advanced and Innovative Therapies, Universidade Federal de Minas Gerais, Belo Horizonte, MG, Brazil.
André Machado de SiqueiraInstituto Nacional de Infectologia Evandro Chagas, Rio de Janeiro, RJ, Brazil.
Viviane Sampaio BoaventuraMedicina e Saúde Pública de Precisão, Fundação Oswaldo Cruz - Instituto Gonçalo Moniz (IGM/FIOCRUZ), Salvador, BA, Brazil.
Fabiano RamosHospital São Lucas da PUC do Rio Grande do Sul, Porto Alegre, RS, Brazil.
Erivaldo Elias JúniorFaculdade de Medicina da Universidade Federal de Mato Grosso do Sul (FAMED-UFMS), Campo Grande, MS, Brazil.
José Cassio de MoraesDepartamento de Saúde Coletiva, Faculdade de Ciências Médicas Santa Casa de São Paulo (FCMSCSP), São Paulo, SP, Brazil.
Nikos VasilakisUniversity of Texas Medical Branch (UTMB), Galveston, TX, USA.
Érique MirandaInstituto Butantan (IB), São Paulo, SP, Brazil.
José Alfredo de Sousa MoreiraInstituto Butantan (IB), São Paulo, SP, Brazil.
Fernanda Castro BoulosInstituto Butantan (IB), São Paulo, SP, Brazil.
Esper Georges KallásInstituto Butantan (IB), São Paulo, SP, Brazil.
Maurício Lacerda NogueiraFaculdade de Medicina de São José do Rio Preto (FAMERP), São José do Rio Preto, SP, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Dengue has emerged as a public health challenge in Brazil since the early 1980s, and it is currently one of the most affected regions and an epicenter of the disease. The country faced its worst dengue epidemic on record, with the co-circulation of different dengue virus (DENV) serotypes alongside genotypes and lineages. This scenario stresses the urgent need for a vaccination strategy that addresses the current burden by protecting against all four DENV serotypes and ensuring safety despite a history of dengue exposure, given the high seroprevalence of dengue in Brazil. Methods: In this study, we analyzed 365 DENV-1 and DENV-2 wild-type positive samples from unvaccinated and vaccinated (28 days post-vaccination) dengue-infected participants enrolled in the Butantan-dengue vaccine (Butantan-DV) phase 3 trial conducted in Brazil from 2016 to 2021. Genome sequences were obtained from 160 samples in order to analyze the genetic diversity of these strains through phylogenetic and genomic studies. Findings: The 365 participants (mean age: 16.6, range: 2-59; male: 52.3%, female: 47.7%) enrolled and tested positive for DENV-1 and DENV-2 from both groups (vaccinated and placebo) reflected the spatial and epidemic patterns recorded in the country during the study period. Despite the limited statistical power due to the low number of samples, we observed significantly lower RT-qPCR Ct values in the vaccinated group, particularly for the DENV-1 cases, suggesting that the vaccine could be reducing viral replication. Additionally, vaccine breakthrough infections were not linked with any specific DENV-1 or DENV-2 lineage. Genetic diversity analysis showed no differences in intra-host synonymous or non-synonymous mutation rates between the groups, combined with the absence of positive selection sites in the DENV-1 and DENV-2 coding regions. Interpretation: Our phylogenetic data demonstrate that Butantan-DV breakthrough infections is not linked to any unique DENV-1 or DENV-2 lineages. The circulating strains in both groups reflect typical transmission patterns of both viruses, highlighting instances of co-circulation and lineage replacement. Notably, the absence of positive selection sites and stable synonymous/non-synonymous mutation rates provides suggestive evidence that the vaccine does not promote vaccine-driven adaptive evolution. Funding: Instituto Butantan, National Institutes of Health, National Council for Science and Technology and Fundação de Amparo à Pesquisa do Estado de Minas Gerais, Instituto Nacional de Ciência e Tecnologia em Dengue (INCT), INCT Viral Genomic Surveillance and One Health, São Paulo Research Foundation.

Indexed as

Clinical trialDeep sequencingDengue breakthrough infectionsDengue epidemicPhylogenetic

Identifiers

PMID41403717
PMCPMC12703870

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.