Evidence map›Paper›PMID 38961324›Full record

ArticleBMC genomics2024

Key gene modules and hub genes associated with pyrethroid and organophosphate resistance in Anopheles mosquitoes: a systems biology approach.

Cynthia Awuor Odhiambo, Dieunel Derilus, Lucy Mackenzie Impoinvil, Diana Omoke, Helga Saizonou, Stephen Okeyo, Nsa Dada, Nicola Mulder, Dorothy Nyamai, Steven Nyanjom and 3 more

Abstract read
In one paragraph

Article in BMC genomics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Distinct Genetic Footprint of Adaptation Observed WithinResearch and reports in tropical medicine · 2026
    Article
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

13 authors.

Cynthia Awuor OdhiamboDepartment of Biochemistry, Jomo Kenyatta University of Agriculture and Technology, Nairobi, Kenya. cynthiaawuor18@gmail.com.
Dieunel DerilusDivision of Parasitic Diseases and Malaria, Entomology Branch, Centers for Disease Control and Prevention (CDC), Atlanta, GA, USA.
Lucy Mackenzie ImpoinvilDivision of Parasitic Diseases and Malaria, Entomology Branch, Centers for Disease Control and Prevention (CDC), Atlanta, GA, USA.
Diana OmokeKenya Medical Research Institute (KEMRI), Centre for Global Health Research (CGHR), Kisumu, Kenya.
Helga SaizonouTropical Infectious Diseases Research Center (TIDRC), University of Abomey-Calavi (UAC), Cotonou, Benin.
Stephen OkeyoKenya Medical Research Institute (KEMRI), Centre for Global Health Research (CGHR), Kisumu, Kenya.
Nsa DadaSchool of Life Sciences, Arizona State University, Tempe, AZ, USA.
Nicola MulderHuman, Heredity, and Health in Africa H3A Bionet Network, Cape Town, South Africa.
Dorothy NyamaiDepartment of Biochemistry, Jomo Kenyatta University of Agriculture and Technology, Nairobi, Kenya.
Steven NyanjomDepartment of Biochemistry, Jomo Kenyatta University of Agriculture and Technology, Nairobi, Kenya.
Audrey LenhartDivision of Parasitic Diseases and Malaria, Entomology Branch, Centers for Disease Control and Prevention (CDC), Atlanta, GA, USA.
Luc S DjogbénouTropical Infectious Diseases Research Center (TIDRC), University of Abomey-Calavi (UAC), Cotonou, Benin.
Eric OchomoKenya Medical Research Institute (KEMRI), Centre for Global Health Research (CGHR), Kisumu, Kenya.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Indoor residual spraying (IRS) and insecticide-treated nets (ITNs) are the main methods used to control mosquito populations for malaria prevention. The efficacy of these strategies is threatened by the spread of insecticide resistance (IR), limiting the success of malaria control. Studies of the genetic evolution leading to insecticide resistance could enable the identification of molecular markers that can be used for IR surveillance and an improved understanding of the molecular mechanisms associated with IR. This study used a weighted gene co-expression network analysis (WGCNA) algorithm, a systems biology approach, to identify genes with similar co-expression patterns (modules) and hub genes that are potential molecular markers for insecticide resistance surveillance in Kenya and Benin. A total of 20 and 26 gene co-expression modules were identified via average linkage hierarchical clustering from Anopheles arabiensis and An. gambiae, respectively, and hub genes (highly connected genes) were identified within each module. Three specific genes stood out: serine protease, E3 ubiquitin-protein ligase, and cuticular proteins, which were top hub genes in both species and could serve as potential markers and targets for monitoring IR in these malaria vectors. In addition to the identified markers, we explored molecular mechanisms using enrichment maps that revealed a complex process involving multiple steps, from odorant binding and neuronal signaling to cellular responses, immune modulation, cellular metabolism, and gene regulation. Incorporation of these dynamics into the development of new insecticides and the tracking of insecticide resistance could improve the sustainable and cost-effective deployment of interventions.

Indexed as

AnophelesInsecticide ResistancePyrethrinsSystems BiologyAnimalsGene Expression ProfilingGene Regulatory NetworksInsecticidesKenyaMosquito VectorsOrganophosphatesInsecticidesOrganophosphatesPyrethrinsAnopheles arabiensisAnopheles gambiaeHub genesInsecticide resistanceMolecular markers

Identifiers

PMID38961324
PMCPMC11223346

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.