Evidence map›Paper›PMID 42429888›Full record

ReviewMolecular biology reports2026

Development of attenuated and inactivated Dengue strains using advanced gene editing tools.

Ramesh Thevendran, Solayappan Maheswaran, Su Yin Lee

Abstract readReview
PubMed Publisher
In one paragraph

Review in Molecular biology reports, 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

3 authors.

Ramesh ThevendranDepartment of Biotechnology, Faculty of Applied Science, AIMST University, Semeling, 08100, Bedong, Kedah, Malaysia. rthevendran@yahoo.com.
Solayappan MaheswaranDepartment of Biotechnology, Faculty of Applied Science, AIMST University, Semeling, 08100, Bedong, Kedah, Malaysia.
Su Yin LeeDepartment of Biotechnology, Faculty of Applied Science, AIMST University, Semeling, 08100, Bedong, Kedah, Malaysia.

Funding

Ministry of Higher Education, Malaysia FRGS/1/2023/SKK06/AIMST/03/2
6 · The paper itself

Abstract

Dengue fever remains a persistent viral threat, affecting millions of families every year, turning a simple mosquito bite into a potentially life-threatening emergency. This disease remains a constant burden on our global healthcare system, demanding innovative solutions to protect worldwide communities. While many researchers discuss general treatments, preventions and modern medical interventions, there is often a lack of focus on how current, cutting-edge molecular and genetic tools are employed to engineer dengue strains as vaccine candidates. Therefore, in this paper, we explore the recent genetic strategies, such as targeted virulent gene deletions, CRISPR-Cas inactivation, and viral codon deoptimization approaches used to attenuate or inactivate Dengue viruses specifically. Assays and techniques used in validating Dengue viral attenuation or inactivation are also discussed in detail, highlighting the importance of the balance between safety and immunogenicity for Dengue vaccine uses. The article also briefly elaborates the complex biological challenges and safety concerns that centre on Dengue vaccine developments. By bridging the gap between advanced genetics and public health, this review provides readers with a comprehensive understanding of how modern genetics is paving the way for the next generation of safe and effective Dengue vaccines.

Indexed as

DengueDengue VaccinesDengue VirusGene EditingAnimalsCRISPR-Cas SystemsHumansVaccine DevelopmentVaccines, AttenuatedDengue VaccinesVaccines, AttenuatedDengueMolecular geneticsStrategiesVaccineValidations

Identifiers

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.