grant

Artemisinin Resistance in Africa: its emergence and evolution in Rwanda

Organization BROWN UNIVERSITYLocation PROVIDENCE, UNITED STATESPosted 5 Aug 2021Deadline 31 Jul 2026
NIHUS FederalResearch GrantFY2024AfricaAnti-malarial drug resistanceAnti-malarial drug resistantAnti-malarialsAreaArtemisininsAsiaAssayBioassayBiological AssayBiologyBloodBlood Reticuloendothelial SystemCRISPRCRISPR/Cas systemClinicClinicalClustered Regularly Interspaced Short Palindromic RepeatsCollaborationsCombined Modality TherapyCommunitiesCountryCoupledCulicidaeDataData SetDisastersDiseaseDisorderDrug resistanceDrugsEffectivenessEvolutionFailureFalciparum MalariaFeedsFounder EffectFrequenciesFutureGWA studyGWASGenesGeneticGenetic AlterationGenetic ChangeGenetic defectGenomeGenomicsGenotypeGoalsHaplotypesHigh PrevalenceHigh-Throughput Nucleotide SequencingHigh-Throughput SequencingHumanHuman Migration / DistributionIn VitroInfectionKnowledgeLocationMalariaMapsMath ModelsMeasuresMedicationModelingModern ManMolecularMorbidityMorbidity - disease rateMosquitoesMultimodal TherapyMultimodal TreatmentMutationP falciparumP. falciparumP.falciparumPaludismParasite resistanceParasitesPatientsPersonsPharmaceutical PreparationsPlasmodium InfectionsPlasmodium falciparumPlasmodium falciparum MalariaPopulationProbabilistic ModelsProbability ModelsPublic HealthReportingResearch ResourcesResistanceResolutionResourcesRisk FactorsRouteRuandaRwandaSamplingSiteSoutheast AsiaSoutheastern AsiaStatistical MethodsStatistical ModelsStructureSystemTanzaniaTestingTimeTransmissionTravelTreatment EfficacyWorld Health Organizationanalyzing longitudinalanti-malarial agentsanti-malarial drugsanti-malarial resistancearteannuinartemisininecombination therapycombined modality treatmentcombined treatmentcomputer based predictiondesigndesigningdevelop therapydrug resistantdrug/agentefficacy studyfitnessgenome mutationgenome wide associationgenome wide association scangenome wide association studiesgenome wide association studygenomewide association scangenomewide association studiesgenomewide association studyhuman migrationimprovedin vivoinnovateinnovationinnovativeintervention developmentintervention efficacylongitudinal analysismalaria infectionmalaria-infectedmalarial infectionmathematic modelmathematical modelmathematical modelingmigrationmortalitymulti-modal therapymulti-modal treatmentmutantnext generationnovelparasite resistantpredictive modelingprospectiveqinghaosuquing hau sauquinghaosuresistance generesistance locusresistance mutationresistance to Drugresistance to Parasiteresistance to anti-malarial drugresistantresistant generesistant mutationresistant parasiteresistant to Drugresistant to Parasiteresistant to anti-malarial drugresolutionssample collectionspecimen collectionstatistic methodsstatistical linear mixed modelsstatistical linear modelstargeted sequencingtherapeutic efficacytherapy developmenttherapy efficacytransmission processtreatment developmentwhole genome association analysiswhole genome association studieswhole genome association study
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Full Description

ABSTRACT
Artemisinin combination therapies (ACTs) are the mainstay antimalarial treatment combating

Plasmodium falciparum malaria around the world. While resistance is widespread in Asia, it has not yet been

observed in Africa where the majority of the global morbidity and mortality occurs. Artemisinin and ACT

resistance in Africa would be a serious setback as there are no next-generation antimalarials ready for

deployment. Recent reports in Rwanda of validated artemisinin resistance are of grave concern. A recent

therapeutic efficacy study in Rwanda found a high prevalence of patients with delayed parasite clearance,

which was associated with a validated artemisinin resistance mutation R561H in the K13 gene. Thus, it

appears Africa is moving closer to fully formed resistance, as seen in Southeast Asia. New evidence shows

that this mutation has arisen within Africa and was not spread from Asia, and thus, represents biology unique

to Africa. Given the potential devastating consequences of frank artemisinin resistance spreading across the

continent, this proposal is designed to improve our understanding of the mutation and its biology, its origin, its

past and ongoing spread and the factors that impact the spread. Understanding these dynamics is critical to

predicting the long-term effectiveness of ACTs and to evaluating and formulating effective control efforts. In

this proposal the first goal is to understand the extent of spread and how quickly it is changing with time. We

will leverage an extensive collaborative network within Rwanda and in surrounding countries to perform large

scale sampling and genomics studies across Rwanda and neighboring areas in other countries over time to

map and study the spread of resistance. This will be accomplished using high-throughput targeted sequencing

allowing us to genotype tens of thousands of samples. Using the generated rich genotyping and spatial data,

we will also ask questions about parasite migration and factors that may be impacting the spread. Our second

goal is to look for other mutations that may further support resistance to artemisinin or partner drugs. Based on

our knowledge from Southeast Asia, there are often compensatory mutations that increase the fitness of

artemisinin resistance mutations in K13. To detect compensatory mutations we will perform genome wide

association studies and longitudinal analyses. Our third goal is to study the relative fitness of mutant and wild

type parasites examining mutant and wildtype parasites in vivo using new statistical methods to examine

polyclonal infections; and in vitro competition assays, as well as mosquito feeds, to examine differences in

fitness in both the human blood stage and during transmission. Our final goal is to use the information from the

above aims to build a model and predict the future spread of resistance. Together, this study will provide a

comprehensive view of evolving resistance in Rwanda and provide actionable information for public health.

Grant Number: 5R01AI156267-04
NIH Institute/Center: NIH

Principal Investigator: JEFFREY BAILEY

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