Evidence map›Paper›PMID 41300728›Full record

ReviewGenes2025

RNAi-Based Bioinsecticides for Controlling Vector-Borne Diseases.

Krystal Maya-Maldonado, Antonio Celestino-Montes, Victor Cardoso-Jaime

Abstract readReview
In one paragraph

Review in Genes, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
  4. Review
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.

Krystal Maya-MaldonadoBiochemistry Department, Center for Research and Advanced Studies, Mexico City 07360, Mexico.ORCID 0000-0001-7810-9741
Antonio Celestino-MontesUnidad de Investigación Especializada en Microbiología, Universidad Autónoma de Guerrero, Chilpancingo de los Bravo 39105, Mexico.ORCID 0000-0002-8136-883X
Victor Cardoso-JaimeIndependent Researcher, Baltimore, MD 21205, USA.ORCID 0000-0003-4605-092X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Vector-borne diseases account for 17% of all infectious diseases. The most effective strategies for controlling these diseases have focused on decreasing the vector population, primarily through the use of insecticides. Many insecticides have no specific targets, harming pollinators and beneficial insects. Additionally, the vector populations are developing resistance, reducing the effectiveness of these strategies and increasing ecological damage. Double-strand RNA (dsRNA) is widely used in insects to study gene function by knocking down their expression. Recently, this technology has been applied to develop RNAi-based insecticides for controlling agricultural pests. These biopesticides demonstrate high specificity, as insects do not develop resistance to them, and they cause minimal ecological damage. These pesticides knock down the expression of key genes related to vital functions, development, and reproduction, which affects the insect life cycle and consequently decreases their populations. This review focuses on using RNA interference (RNAi)-based insecticides for controlling major insect vectors, including mosquitoes, kissing bugs, and ticks. We examine the advancements and challenges associated with this technology, considering the complex life cycles and feeding behavior of these insects. Furthermore, we discuss gaps in knowledge about vector biology and delivery strategies for dsRNA, which need to be addressed to enhance the application and efficiency of this emerging technology for controlling vector-borne diseases.

Indexed as

InsecticidesInsect VectorsRNA InterferenceVector Borne DiseasesAnimalsHumansRNA, Double-StrandedInsecticidesRNA, Double-StrandedChagas diseasedenguedsRNAkissing bugsLyme diseasemalariamosquitoparatransgenesisticks

Identifiers

PMID41300728
PMCPMC12652134

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.