Genetic surveillance in the Greater Mekong subregion and South Asia to support malaria control and elimination.
Genetic surveillance in the Greater Mekong subregion and South Asia to support malaria control and elimination.
复制标题
在大湄公河次区域和南亚进行遗传监测，以支持控制和消除疟疾。
DOI：
10.7554/elife.62997
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发表时间：
2021-08-10
期刊：
影响因子：
7.7
通讯作者：
Miotto O
中科院分区：
文献类型：
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作者：
Jacob CG;Thuy-Nhien N;Mayxay M;Maude RJ;Quang HH;Hongvanthong B;Vanisaveth V;Ngo Duc T;Rekol H;van der Pluijm R;von Seidlein L;Fairhurst R;Nosten F;Hossain MA;Park N;Goodwin S;Ringwald P;Chindavongsa K;Newton P;Ashley E;Phalivong S;Maude R;Leang R;Huch C;Dong LT;Nguyen KT;Nhat TM;Hien TT;Nguyen H;Zdrojewski N;Canavati S;Sayeed AA;Uddin D;Buckee C;Fanello CI;Onyamboko M;Peto T;Tripura R;Amaratunga C;Myint Thu A;Delmas G;Landier J;Parker DM;Chau NH;Lek D;Suon S;Callery J;Jittamala P;Hanboonkunupakarn B;Pukrittayakamee S;Phyo AP;Smithuis F;Lin K;Thant M;Hlaing TM;Satpathi P;Satpathi S;Behera PK;Tripura A;Baidya S;Valecha N;Anvikar AR;Ul Islam A;Faiz A;Kunasol C;Drury E;Kekre M;Ali M;Love K;Rajatileka S;Jeffreys AE;Rowlands K;Hubbart CS;Dhorda M;Vongpromek R;Kotanan N;Wongnak P;Almagro Garcia J;Pearson RD;Ariani CV;Chookajorn T;Malangone C;Nguyen T;Stalker J;Jeffery B;Keatley J;Johnson KJ;Muddyman D;Chan XHS;Sillitoe J;Amato R;Simpson V;Gonçalves S;Rockett K;Day NP;Dondorp AM;Kwiatkowski DP;Miotto O
国家疟疾控制计划 (NMCP) 目前对寄生虫遗传数据的使用有限。我们开发了 GenRe-Mekong，这是一个用于大湄公河次区域 (GMS) 疟疾基因监测的平台，使 NMCP 能够通过将简单的样本采集程序整合到常规公共卫生程序中来实施大规模监测项目。来自有症状患者的样本由 SpotMalaria 处理，这是一种高通量系统，可产生一套全面的基因型，包括多种耐药标记、物种标记和基因组条形码。 GenRe-Mekong 提供基因报告卡，这是一份基因型和表型预测的概要，用于绘制多种药物耐药性的流行情况。 GenRe-Mekong 与八个国家的 NMCP 和研究项目合作，处理了 9623 个临床病例样本。监测耐药标记对于追踪对双氢青蒿素-哌喹联合疗法耐药的寄生虫的快速传播非常有价值。在越南和老挝，GenRe-Mekong 数据提供了有关这些耐药菌株向以前未受影响的省份传播的新知识，为 NMCP 的决策提供了信息。 GenRe-Mekong 提供有关地方一级耐药性的详细知识，并促进区域一级的数据共享，实现跨境耐药性监测，并为公共卫生界提供宝贵的见解。该项目提供丰富的开放数据资源，使整个疟疾社区受益。 GenRe-Mekong 项目由比尔和梅琳达·盖茨基金会 (OPP11188166、OPP1204268) 资助。基因分型和测序由 Wellcome Trust (098051、206194、203141、090770、204911、106698/B/14/Z) 和医学研究委员会 (G0600718) 资助。部分样本是在英国国际发展部（201900，M006212）和国家过敏和传染病研究所校内研究计划的支持下收集的。
National Malaria Control Programmes (NMCPs) currently make limited use of parasite genetic data. We have developed GenRe-Mekong, a platform for genetic surveillance of malaria in the Greater Mekong Subregion (GMS) that enables NMCPs to implement large-scale surveillance projects by integrating simple sample collection procedures in routine public health procedures. Samples from symptomatic patients are processed by SpotMalaria, a high-throughput system that produces a comprehensive set of genotypes comprising several drug resistance markers, species markers and a genomic barcode. GenRe-Mekong delivers Genetic Report Cards, a compendium of genotypes and phenotype predictions used to map prevalence of resistance to multiple drugs. GenRe-Mekong has worked with NMCPs and research projects in eight countries, processing 9623 samples from clinical cases. Monitoring resistance markers has been valuable for tracking the rapid spread of parasites resistant to the dihydroartemisinin-piperaquine combination therapy. In Vietnam and Laos, GenRe-Mekong data have provided novel knowledge about the spread of these resistant strains into previously unaffected provinces, informing decision-making by NMCPs. GenRe-Mekong provides detailed knowledge about drug resistance at a local level, and facilitates data sharing at a regional level, enabling cross-border resistance monitoring and providing the public health community with valuable insights. The project provides a rich open data resource to benefit the entire malaria community. The GenRe-Mekong project is funded by the Bill and Melinda Gates Foundation (OPP11188166, OPP1204268). Genotyping and sequencing were funded by the Wellcome Trust (098051, 206194, 203141, 090770, 204911, 106698/B/14/Z) and Medical Research Council (G0600718). A proportion of samples were collected with the support of the UK Department for International Development (201900, M006212), and Intramural Research Program of the National Institute of Allergy and Infectious Diseases.