Evidence map›Paper›PMID 40926371›Full record

ArticleHuman vaccines & immunotherapeutics2025

Identification of multifunctional T-cell peptide epitopes for the development of DNA vaccines against dengue virus.

Ningze Sun, Zhiwei Su, Chenghong Yin, Xiaoyan Zheng

Abstract read
In one paragraph

Article in Human vaccines & immunotherapeutics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
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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

4 authors.

Ningze SunBeijing Institute of Tropical Medicine, Beijing Friendship Hospital, Capital Medical University, Beijing Key Laboratory for Research on Prevention and Treatment of Tropical Diseases, Beijing, China.
Zhiwei SuBeijing Institute of Tropical Medicine, Beijing Friendship Hospital, Capital Medical University, Beijing Key Laboratory for Research on Prevention and Treatment of Tropical Diseases, Beijing, China.
Chenghong YinDepartment of Central Laboratory, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, Beijing Maternal and Child Health Care Hospital, Beijing, China.
Xiaoyan ZhengBeijing Institute of Tropical Medicine, Beijing Friendship Hospital, Capital Medical University, Beijing Key Laboratory for Research on Prevention and Treatment of Tropical Diseases, Beijing, China.ORCID 0000-0001-6656-1781

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Dengue virus (DENV) is an important arthropod-borne virus that poses a global health threat, with half of the world's population at risk of infection. Currently, there is a lack of safe and effective vaccines for its prevention. Antibody-dependent enhancement (ADE) occurs when cross-reactive antibodies fail to neutralize heterologous DENV serotypes effectively, facilitating viral entry into Fc receptor-bearing cells and leading to more severe disease. It is reported that multifunctional T cells are closely related to the protective effects of the vaccine. We selected 25 peptide candidates based on predictions from the IEDB database and relevant literature. These peptides were validated to stimulate the production of multifunctional T cells. The DNA sequences of the corresponding peptides were cloned into the pVAX1 vector, and monovalent DNA vaccines for DENV 1-4 were constructed.

Indexed as

DengueDengue VaccinesDengue VirusEpitopes, T-LymphocyteVaccines, DNAAnimalsAntibodies, ViralFemaleMiceMice, Inbred BALB CPeptidesT-LymphocytesVaccine DevelopmentAntibodies, ViralDengue VaccinesEpitopes, T-LymphocytePeptidesVaccines, DNAcellular immunityDengue virusDNA vaccineimmunoprotectionmultifunctional T cells

Identifiers

PMID40926371
PMCPMC12427499

What OpenQuestion holds

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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.