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Integrating data from multiple African countries to identify and validate novel insecticide resistance candidates in the malaria vector An. gambiae sl

整合来自多个非洲国家的数据，以识别和验证疟疾媒介 An 中的新型杀虫剂抗性候选者。

基本信息

批准号：
MR/R024839/1
负责人：
Victoria Anne Ingham
金额：
$ 37.04万
依托单位：
Liverpool School of Tropical Medicine
依托单位国家：
英国
项目类别：
Fellowship
财政年份：
2017
资助国家：
英国
起止时间：
2017 至无数据
项目状态：
已结题

来源：
https://gtr.ukri.org/projects?ref=MR%2FR024839%2F1
关键词：
Integrating data multiple African countries

项目摘要

Vector control strategies are key to malaria eradication efforts; an estimated 80 % of the 663 million malaria cases prevented since the year 2000 were due to insecticide treated nets (ITNs and indoor residual spraying). As a result of this scale up in vector control, resistance to public health insecticides is now wide spread. All ITNs are treated with pyrethroids and yet 80% of African countries reporting resistance to this class. The precise impact of this resistance on the protective efficacy of ITNs is still being debated but there is consensus that there is an urgent need for informed field strategies to prevent failure of these crucial interventions and hence; the resurgence of malaria associated morbidity and mortality in the world's poorest regions.Concerns over the potential impact of vector control failure have stimulated the generation of a wide variety of field data available on malaria vectors in sub-Saharan Africa, including extensive population genetics resources and continent-wide gene expression data. These data represent an incredibly diverse and rich set of information that have previously been examined in isolation. Integrating these multi-species, multi-country datasets in an objective way, is expected to identify previously unrecognised genes and pathways associated with insecticide resistance. These in silico results will be validated in a laboratory setting prior to the development of diagnostics which will be evaluated under field settings. The availability of a comprehensive set of resistance makers will also enable more detailed studies of the impact of resistance on the fitness of the mosquito and its ability to transmit the malaria parasite. The data generated will be of value to control programmes to help mitigate the impact of resistance, and industry partners, developing new insecticides and vector control tools.

病媒控制战略是根除疟疾工作的关键；据估计，自 2000 年以来，在预防的 6.63 亿例疟疾病例中，有 80% 是通过经杀虫剂处理的蚊帐（ITN 和室内滞留喷洒）实现的。由于病媒控制规模的扩大，对公共卫生杀虫剂的抗药性现已广泛传播。 All ITNs are treated with pyrethroids and yet 80% of African countries reporting resistance to this class.这种耐药性对杀虫剂蚊帐保护功效的确切影响仍在争论中，但人们一致认为，迫切需要制定明智的现场策略来防止这些关键干预措施的失败；世界最贫困地区与疟疾相关的发病率和死亡率死灰复燃。对病媒控制失败的潜在影响的担忧刺激了撒哈拉以南非洲疟疾病媒的各种现场数据的产生，包括广泛的群体遗传资源和全大陆基因表达数据。这些数据代表了一组极其多样化和丰富的信息，这些信息之前曾被单独检查过。以客观的方式整合这些多物种、多国家的数据集，有望识别出以前未被识别的与杀虫剂抗性相关的基因和途径。这些计算机结果将在开发诊断方法之前在实验室环境中进行验证，诊断方法将在现场环境下进行评估。一套全面的耐药性产生者的可用性也将使人们能够更详细地研究耐药性对蚊子健康状况及其传播疟疾寄生虫的能力的影响。生成的数据对于帮助减轻耐药性影响的控制计划以及行业合作伙伴开发新的杀虫剂和病媒控制工具具有价值。

项目成果

期刊论文数量（10）

专著数量（0）

科研奖励数量（0）

会议论文数量（0）

专利数量（0）

A steroid hormone agonist reduces female fitness in insecticide-resistant Anopheles populations.

DOI：
10.1016/j.ibmb.2020.103372
发表时间：
2020-06
期刊：
INSECT BIOCHEMISTRY AND MOLECULAR BIOLOGY
影响因子：
3.8
作者：
Brown, Faye;Paton, Douglas G.;Catteruccia, Flaminia;Ranson, Hilary;Ingham, Victoria A.
通讯作者：
Ingham, Victoria A.

Capturing the transcription factor interactome in response to sub-lethal insecticide exposure

捕获响应亚致死杀虫剂暴露的转录因子相互作用组