Sawasdichai Sunisa, Chaumeau Victor, Kearney Ellen, Wasisakun Praphan, Simpson Julie A, Price David J, Chotirat Sadudee, Rénia Laurent, Bergmann-Leitner Elke, Fowkes Freya, Nosten François
Shoklo Malaria Research Unit, Mahidol-Oxford Research Unit, Faculty of Tropical Medicine, Mahidol University, Mae Ramat, Tak, 63140, Thailand.
Centre for Tropical Medicine and Global Health, Nuffield Department of Medicine, University of Oxford, Oxford, England, OX3 7BN, UK.
Wellcome Open Res. 2023 Jul 11;8:135. doi: 10.12688/wellcomeopenres.19049.2. eCollection 2023.
Measurement of antibody titers directed against mosquito salivary antigens in blood samples has been proposed as an outcome measure to assess human exposure to vector bites. However, only a handful of antigens have been identified and the specificity and longitudinal dynamics of antibody responses are not well known. We report the protocol of a clinical trial of controlled exposure to mosquito bites that aims to identify and validate biomarkers of exposure to bites of mosquito vector species that transmit malaria and dengue in Southeast Asia and some other parts of the world. This study is an exploratory factorial randomized control trial of controlled exposure to mosquito bites with 10 arms corresponding to different species ( , , , and ) and numbers of bites (35 or 305 bites in total over 6 weeks). Blood samples will be collected from study participants before, during and after mosquito biting challenges. Candidate peptides will be identified from published literature with antigen prediction algorithms using mosquito DNA sequence data and with immunoblotting assays carried out using protein extracts of dissected mosquito salivary glands and participants samples. Antibody titers against candidate peptides will be determined in participants samples with high-throughput cutting-edge immuno-assays. Quantification of the antibody response profile over time (including an estimate of the decay rate) and the effect of the number of bites on the antibody response will be determined using linear and logistic mixed-effects models for the continuous and the binary response, respectively. This research is expected to generate important knowledge for vector sero-surveillance and evaluation of vector-control interventions against malaria and dengue in the Greater Mekong Subregion. This study is registered with clinicaltrials.gov (NCT04478370) on July 20 , 2020.
测量血样中针对蚊虫唾液抗原的抗体滴度,已被提议作为评估人类接触病媒叮咬情况的一项结果指标。然而,仅识别出了少数几种抗原,抗体反应的特异性和纵向动态尚不清楚。我们报告了一项关于受控蚊虫叮咬暴露的临床试验方案,该试验旨在识别和验证针对东南亚及世界其他一些地区传播疟疾和登革热的蚊虫媒介叮咬暴露的生物标志物。本研究是一项探索性析因随机对照试验,涉及受控蚊虫叮咬暴露,有10个组,分别对应不同的蚊虫种类( 、 、 、 和 )以及叮咬次数(6周内总共35次或305次叮咬)。在蚊虫叮咬挑战前、期间和之后,将从研究参与者身上采集血样。候选肽将通过使用蚊虫DNA序列数据的抗原预测算法从已发表的文献中识别出来,并通过使用解剖的蚊虫唾液腺和参与者样本的蛋白质提取物进行免疫印迹分析来确定。将使用高通量前沿免疫测定法在参与者样本中测定针对候选肽的抗体滴度。将分别使用线性和逻辑混合效应模型,针对连续反应和二元反应,确定抗体反应谱随时间的量化情况(包括衰减率估计)以及叮咬次数对抗体反应的影响。这项研究有望为大湄公河次区域的病媒血清监测以及针对疟疾和登革热的病媒控制干预措施评估产生重要知识。本研究于2020年7月20日在clinicaltrials.gov(NCT04478370)注册。