| Literature DB >> 34935614 |
Jalal Mohammadi1, Kourosh Azizi2, Hamzeh Alipour2, Mohsen Kalantari2, Masoumeh Bagheri1, Marzieh Shahriari-Namadi1, Saeedeh Ebrahimi, Mohammad D Moemenbellah-Fard2.
Abstract
Head lice (Pediculus humanus capitis) are one of the most common insects causing infestations in humans worldwide, and infestation is associated with adverse socio-economic and public health effects. The development of genetic insensitivity (e.g., target site insensitivity = knockdown resistance or kdr) to topical insecticides has impaired effective treatment. Therefore, this study was undertaken to review and meta-analyze the frequency of pyrethroid resistance in treated head louse populations from the beginning of 2000 to the end of June 2021 worldwide. In order to accomplish this, all English language articles published over this period were extracted and reviewed. Statistical analyses of data were performed using fixed and random effect model tests in meta-analysis, Cochrane, meta-regression and I2 index. A total of 24 articles from an initial sample size of 5033 were accepted into this systematic review. The mean frequency of pyrethroid resistance was estimated to be 76.9%. In collected resistant lice, 64.4% were homozygote and 30.3% were heterozygote resistant. Globally, four countries (Australia, England, Israel, and Turkey) have 100% kdr gene frequencies, likely resulting in the ineffectiveness of pyrethrin- and pyrethroid-based pediculicides. The highest resistance recorded in these studies was against permethrin. This study shows that pyrethroid resistance is found at relatively high frequencies in many countries. As a result, treatment with current insecticides may not be effective and is likely the cause of increased levels of infestations. It is recommended that resistance status be evaluated prior to insecticide treatment, to increase efficacy. © J. Mohammadi et al., published by EDP Sciences, 2021.Entities:
Keywords: Allele; Control; Ectoparasite; Kdr genes; Pediculus; Pyrethrum; Therapy
Mesh:
Substances:
Year: 2021 PMID: 34935614 PMCID: PMC8693761 DOI: 10.1051/parasite/2021083
Source DB: PubMed Journal: Parasite ISSN: 1252-607X Impact factor: 3.000
Figure 1The PRISMA flow chart diagram.
General characteristics of the included studied in the data analysis process.
| Authors | Year of study | Place of study | Sample size | Proportion | |
|---|---|---|---|---|---|
| [ | 2021 | Iran | 54 | K794E, F815I, and N818D | 51 |
| [ | 2020 | Honduras | 83 | T917I | 93.9 |
| [ | 2020 | Turkey | 150 | T917I | 100 |
| L920F | 99.3 | ||||
| M815I | 100 | ||||
| [ | 2020 | Thailand | 260 | T917I | 40 |
| [ | 2019 | Chile | 99 | T917I | 94.9 |
| [ | 2019 | Madagascar | 159 | T917I | 70 |
| [ | 2019 | Mexico | 468 | T929I | 78.2 |
| [ | 2017 | Georgia | 259 | T917I | 64.86 |
| [ | 2016 | United States | 141 | M815I, T917I, and L920F | 98.4 |
| [ | 2014 | United States | 291 | T917I | 90.7 |
| [ | 2014 | Argentina | 154 | M815I, T917I, and L920F | 91.6 |
| [ | 2014 | France | 167 | M815I, T917I, and L920F | 64.1 |
| [ | 2012 | Israel | 192 | M815I, T929I and I932F | 93 |
| [ | 2012 | France | 670 | T917I and L920F | 98.7 |
| [ | 2010 | North America | 20 | M815I, T917I and L920F | 85.25 |
| Argentina | 93 | ||||
| Brazil | 75 | ||||
| England | 100 | ||||
| Denmark | 92 | ||||
| Czech Republic | 33 | ||||
| Egypt | 15 | ||||
| Israel | 100 | ||||
| South Korea | 0 | ||||
| Thailand | 0 | ||||
| New Guinea | 0 | ||||
| Australia | 100 | ||||
| [ | 2009 | Japan | 630 | M815I, T929I, and L932F | 8.7 |
| [ | 2008 | Argentina | 120 | – | – |
| [ | 2007 | France | 112 | T929I | 77.8 |
| [ | 2006 | England | 316 | T917I | 82.6 |
| [ | 2006 | Denmark | 208 | T929I and L932F | – |
| [ | 2003 | United States | 33 | T929I and L932F | 15 |
| [ | 2003 | United States | 74 | T929I and L932F | 78 |
| 29 | 97 | ||||
| [ | 2004 | United States | 121 | T929I and L932F | - |
| [ | 2000 | England | 223 | T929I and L932F | - |
Figure 2Forest plots of the proportion of resistance in lice and 95% confidence interval based on a random effect model in meta-analysis.
Figure 4Forest plots of the proportion of heterozygote resistance and 95% confidence interval based on a random effect model in meta-analysis.
Figure 5Funnel chart of proportion resistance in the selected studies.
Figure 6Meta regression chart of the proportion of resistance on the study year.