EventsThe 2nd International Online Conference on Veterinary Sciences
Published
This submission belongs to the session S2. Surveillance and Epidemiological Modelling at the Human–Animal–Environment Interface of the event The 2nd International Online Conference on Veterinary Sciences
Published date
02 Sep, 2026
Academic Editor
author-avatarFrancesco Mira
Citation
Eze Frank Ahuekwe, Damilare Isaiah Taiwo, Meta-Regression Analysis of Knockdown Resistance Mutations Associated with Pyrethroid Resistance in Anopheles Mosquitoes across Sub-Saharan Africa, in Proceedings of The 2nd International Online Conference on Veterinary Sciences, 7 September–9 September 2026, MDPI: Basel, Switzerland
Share
Email
Facebook
Twitter
LinkedIn

Meta-Regression Analysis of Knockdown Resistance Mutations Associated with Pyrethroid Resistance in Anopheles Mosquitoes across Sub-Saharan Africa

Eze Frank Ahuekwe 1,2,3
1. Department of Biological Sciences, College of Science and Technology, Covenant University, Canaanland, KM 10, Idi Iroko Road, P.M.B 1023, Ota, Ogun State, Nigeria
2. Covenant Applied Informatics and Communication Africa Centre of Excellence, Covenant University, Canaanland, KM 10, Idi Iroko Road, P.M.B 1023, Ota, Ogun State, Nigeria
3. Biotechnology Research Cluster, Covenant University, Canaanland, KM 10, Idi Iroko Road, P.M.B 1023, Ota, Ogun State
Abstract

The VGSC gene's Kdr mutations (L1014F and L1014S) confer resistance to pyrethroids, which decreases the insecticides' ability to bind to their targets and decreases their effectiveness. These alterations, which are encoded in the voltage-gated sodium channel (VGSC) gene, affect the effectiveness of indoor residual spraying (IRS) and insecticide-treated nets (ITNs). In this study, a comprehensive meta-analysis was conducted to assess the impact of L1014F and L1014S mutations on resistance in Anopheles mosquitoes across sub-Saharan Africa. Data were systematically synthesised from eligible studies conducted within the region, applying both fixed and random effects models to estimate pooled associations between kdr genotypes and resistance phenotypes. Heterogeneity and publication bias were evaluated using Cochran’s Q test, Egger’s test, and funnel plot asymmetry. This study represents the first meta-regression focusing exclusively on Anopheles populations in sub-Saharan Africa, encompassing eight studies with a total of 4,690 mosquito samples. Substantial heterogeneity was observed across studies (I² > 99%), and random effects models were therefore applied. The pooled odds ratio (OR) for the L1014F allele (L vs. F) was 2.14 (95% CI: 1.17–2.93, P<0.001), indicating a significant association with resistance, while the L1014S allele (S vs. F) showed a weaker relationship (OR = 0.899, 95% CI: 0.297–1.293, P<0.001). Sensitivity analysis revealed that excluding highly variable studies reduced the effect estimates, highlighting the influence of publication bias and small sample size. Egger’s test and funnel plot asymmetry further confirmed the presence of significant publication bias. After bias adjustment, the pooled effects remained statistically significant but reduced in magnitude, refining the true genetic contribution of these mutations. The analysis also demonstrated mutation-specific resistance gradients, with L1014F conferring stronger resistance than L1014S. This study offers new insights into the molecular epidemiology of pyrethroid resistance in African malaria vectors, establishing a baseline for continent-wide genomic surveillance and vector management strategies.

Keywords
Kdr Mutations
Pyrethroid Resistance
Systematic Review
Egger Test
Meta-regression analysis
Behavioural Patterns of Antibiotic Use in Bovine Mastitis: A Cluster-Based Analysis Among Veterinarians in Kerala, India
A Cross-Sectional Study on the Prevalence and Etiology of Camel Dermatophytosis in the Emirate of Abu Dhabi, UAE