Evidence map›Paper›PMID 36846550›Full record

ArticleFrontiers in cellular and infection microbiology2022

Knockdown resistance mutations distribution and characteristics of

Chunchun Zhao, Xinxin Zhou, Chuizhao Xue, Xinchang Lun, Wenyu Li, Xiaobo Liu, Haixia Wu, Xiuping Song, Jun Wang, Qiyong Liu and 1 more

Abstract read
In one paragraph

Article in Frontiers in cellular and infection microbiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Review
  2. Detection of insecticide resistance and knockdown resistance (Frontiers in cellular and infection microbiology · 2026
    Article
  3. Article
  4. Review
  5. Article
  6. Mechanisms and genetic mutations of pyrethroid resistance inFrontiers in cellular and infection microbiology · 2025
    Article
  7. Article
  8. Article
  9. Etiopathogenesis of medication-related osteonecrosis of the jaws: a review.Journal of molecular medicine (Berlin, Germany) · 2024
    Review
  10. Article
  11. 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

11 authors.

Chunchun ZhaoState Key Laboratory of Infectious Disease Prevention and Control, World Health Organization (WHO) Collaborating Centre for Vector Surveillance and Management, Chinese Center for Disease Control and Prevention, National Institute for Communicable Disease Control and Prevention, Beijing, China.
Xinxin ZhouState Key Laboratory of Infectious Disease Prevention and Control, World Health Organization (WHO) Collaborating Centre for Vector Surveillance and Management, Chinese Center for Disease Control and Prevention, National Institute for Communicable Disease Control and Prevention, Beijing, China.
Chuizhao XueNational Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention (Chinese Center for Tropical Diseases Research), National Health Committee (NHC) Key Laboratory of Parasite and Vector Biology, World Health Organization (WHO) Collaborating Centre for Tropical Diseases, National Center for International Research on Tropical Diseases, Shanghai, China.
Xinchang LunState Key Laboratory of Infectious Disease Prevention and Control, World Health Organization (WHO) Collaborating Centre for Vector Surveillance and Management, Chinese Center for Disease Control and Prevention, National Institute for Communicable Disease Control and Prevention, Beijing, China.
Wenyu LiState Key Laboratory of Infectious Disease Prevention and Control, World Health Organization (WHO) Collaborating Centre for Vector Surveillance and Management, Chinese Center for Disease Control and Prevention, National Institute for Communicable Disease Control and Prevention, Beijing, China.
Xiaobo LiuState Key Laboratory of Infectious Disease Prevention and Control, World Health Organization (WHO) Collaborating Centre for Vector Surveillance and Management, Chinese Center for Disease Control and Prevention, National Institute for Communicable Disease Control and Prevention, Beijing, China.
Haixia WuState Key Laboratory of Infectious Disease Prevention and Control, World Health Organization (WHO) Collaborating Centre for Vector Surveillance and Management, Chinese Center for Disease Control and Prevention, National Institute for Communicable Disease Control and Prevention, Beijing, China.
Xiuping SongState Key Laboratory of Infectious Disease Prevention and Control, World Health Organization (WHO) Collaborating Centre for Vector Surveillance and Management, Chinese Center for Disease Control and Prevention, National Institute for Communicable Disease Control and Prevention, Beijing, China.
Jun WangState Key Laboratory of Infectious Disease Prevention and Control, World Health Organization (WHO) Collaborating Centre for Vector Surveillance and Management, Chinese Center for Disease Control and Prevention, National Institute for Communicable Disease Control and Prevention, Beijing, China.
Qiyong LiuState Key Laboratory of Infectious Disease Prevention and Control, World Health Organization (WHO) Collaborating Centre for Vector Surveillance and Management, Chinese Center for Disease Control and Prevention, National Institute for Communicable Disease Control and Prevention, Beijing, China.
Fengxia MengState Key Laboratory of Infectious Disease Prevention and Control, World Health Organization (WHO) Collaborating Centre for Vector Surveillance and Management, Chinese Center for Disease Control and Prevention, National Institute for Communicable Disease Control and Prevention, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Methods: A total of 2,241 Results: The overall frequencies of mutant alleles at 1016G, 1532T, and 1534S/C/L were 13.19%, 4.89%, and 46.90%, respectively. Mutations at the three loci were found at 89.80% (44/49), 44.90% (22/49), and 97.96% (48/49) of the field populations. At each of the loci V1016 and I1532, only one allele was detected, which was GGA(G) and ACC(T), respectively. Five mutant alleles were found at codon 1534: TCC/S (33.49%), TGC/C (11.96%), TTG/L (0.60%), CTC/L (0.49%), and TTA/L (0.58%). In total, 31 triple-locus genotype combinations were found, and the single locus mutation was the most common. We also found firstly triple-locus mutant individuals, whose genotypes were V/G+I/T+F/S and V/G+I/T+S/S. The 1016 and 1532 mutation rates were significantly negatively related to the annual average temperature (AAT), but the 1534 mutation rate was significantly positively related to AAT. The 1532 mutation rate was significantly positively related to the 1016 mutation rate but negatively related to the 1534 mutation rate. A relationship was observed between the 1534 codon mutation rate and dengue epidemic areas in this study. Furthermore, spatial autocorrelation analysis results showed that the mutation rates of different codons in different geographical areas had spatial aggregation and positive spatial correlation. Conclusion: This study showed that the multiple

Indexed as

AedesDengueInsecticidesPyrethrinsAnimalsChinaHumansInsecticide ResistanceMutationInsecticidesPyrethrinsAedes albopictuscorrelation analysiskdr genepyrethroid insecticidesresistance

Identifiers

PMID36846550
PMCPMC9948608

What OpenQuestion holds

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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.