Evidence map›Paper›PMID 40076478›Full record

ReviewInternational journal of molecular sciences2025

Omics Approaches in Understanding Insecticide Resistance in Mosquito Vectors.

Nikhil Bharadwaj, Rohit Sharma, Muthukumaravel Subramanian, Gnanasekar Ragini, Shriram Ananganallur Nagarajan, Manju Rahi

Abstract readReview
In one paragraph

Review in International journal of molecular sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
  2. Article
  3. Omics Technologies in Molecular Biology.International journal of molecular sciences · 2026
    Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Review
  10. 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

6 authors.

Nikhil BharadwajDivision of Vector Biology and Control, ICMR-Vector Control Research Centre, Medical Complex, Indira Nagar, Puducherry 605006, India.ORCID 0000-0002-1158-0237
Rohit SharmaDivision of Vector Biology and Control, ICMR-Vector Control Research Centre, Medical Complex, Indira Nagar, Puducherry 605006, India.
Muthukumaravel SubramanianDivision of Vector Biology and Control, ICMR-Vector Control Research Centre, Medical Complex, Indira Nagar, Puducherry 605006, India.ORCID 0000-0002-5964-1596
Gnanasekar RaginiDivision of Vector Biology and Control, ICMR-Vector Control Research Centre, Medical Complex, Indira Nagar, Puducherry 605006, India.
Shriram Ananganallur NagarajanDivision of Vector Biology and Control, ICMR-Vector Control Research Centre, Medical Complex, Indira Nagar, Puducherry 605006, India.ORCID 0000-0002-0996-2447
Manju RahiDivision of Vector Biology and Control, ICMR-Vector Control Research Centre, Medical Complex, Indira Nagar, Puducherry 605006, India.ORCID 0000-0003-0932-0935

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In recent years, the emergence of insecticide resistance has been a major challenge to global public health. Understanding the molecular mechanisms of this phenomenon in mosquito vectors is paramount for the formulation of effective vector control strategies. This review explores the current knowledge of insecticide resistance mechanisms through omics approaches. Genomic, transcriptomic, proteomic, and metabolomics approaches have proven crucial to understand these resilient vectors. Genomic studies have identified multiple genes associated with insecticide resistance, while transcriptomics has revealed dynamic gene expression patterns in response to insecticide exposure and other environmental stimuli. Proteomics and metabolomics offer insights into protein expression and metabolic pathways involved in detoxification and resistance. Integrating omics data holds immense potential to expand our knowledge on the molecular basis of insecticide resistance in mosquitoes via information obtained from different omics platforms to understand regulatory mechanisms and differential expression of genes and protein, and to identify the transcription factors and novel molecules involved in the detoxification of insecticides. Eventually, these data will help construct predictive models, identify novel strategies, and develop targeted interventions to control vector-borne diseases.

Indexed as

GenomicsInsecticide ResistanceMosquito VectorsAnimalsInsecticidesMetabolomicsProteomicsTranscriptomeInsecticidesinsecticide resistancemosquitoesomicssystems biologyvector-borne diseases

Identifiers

PMID40076478
PMCPMC11899280

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.