grant

High-throughput analysis of dynamics of antibody responses against defined epitopes: prioritization of diagnostic and prognostic markers for Chagas disease

Organization INSTITUTE/RESEARCH/BIOTECHNOLOGY FDNLocation SAN MARTIN, ARGENTINAPosted 9 Sept 2025Deadline 31 Aug 2030
NIHUS FederalResearch GrantFY20250-11 years old21+ years oldActive Follow-upAcuteAdultAdult HumanAdverse effectsAfter CareAfter-TreatmentAftercareAmerican TrypanosomiasisAmerican trypanosomeAmericasAntibodiesAntibody RepertoireAntibody ResponseAntibody SpecificityAntigenic DeterminantsAntigensAreaAssayAtlasesBehaviorBinding DeterminantsBioassayBiological AssayBiological MarkersBlood SampleBlood TransfusionBlood specimenBoliviaBrazilCell Communication and SignalingCell SignalingCertificationChagas DiseaseChildChild YouthChildren (0-21)ChronicClassificationClinicalClinical TrialsClinical assessmentsCollaborationsColombiaCommunicable DiseasesDNADataDeoxyribonucleic AcidDetectionDevelopmentDiagnosisDiagnosticDiseaseDisease ManagementDisease ProgressionDisorderDisorder ManagementDrug TherapyDrugsEl SalvadorEpitope MappingEpitopesFailureFundingGrafting ProcedureHumanImmune responseImmunoassayIndividualInfectionInfectious DiseasesInfectious DisorderInsect BitesIntracellular Communication and SignalingLaboratory ResearchLatin AmericaLongitudinal StudiesMachine LearningMapsMedicationModern ManMolecularMonitorNational Institutes of HealthOrgan TransplantationOrgan TransplantsParasitemiaParasitesParticipantPatient MonitoringPatientsPatternPeptidesPersonsPharmaceutical PreparationsPharmacological TreatmentPharmacotherapyPhasePopulationPrognostic MarkerProtein FragmentProteinsProteomeReagentRelapseResolutionRestSamplingSampling StudiesSerologySerology testSeroprevalencesSignal TransductionSignal Transduction SystemsSignalingSouth American TrypanosomiasisStreamSystematicsT cruziT. cruziTechniquesTechnologyTimeTransmissionTreatment EfficacyTreatment outcomeTrypanosoma cruziUnited States National Institutes of HealthUpdateVisitWorkactive followupadulthoodbio-markersbiologic markerbiological signal transductionbiomarkerburden of diseaseburden of illnessclinical applicabilityclinical applicationclinical research siteclinical sitecohortdensitydesigndesign validationdesign verificationdesigningdevelopmentaldiagnostic biomarkerdiagnostic markerdisease burdendrug interventiondrug treatmentdrug/agentfollow upfollow-upfollowed upfollowuphigh throughput analysishost responsehuman diseaseimmune system responseimmunogenimmunoresponseimprovedinsightintervention efficacykidslong-term studylongitudinal outcome studiesmachine based learningnew drug treatmentsnew drugsnew pharmacological therapeuticnew therapeuticsnew therapynext generation therapeuticsnovelnovel drug treatmentsnovel drugsnovel pharmaco-therapeuticnovel pharmacological therapeuticnovel therapeuticsnovel therapyorgan allograftorgan graftorgan xenograftparasaetemiapatient populationpatient responsepatient specific responsepeptide aminoacid sequencepeptide sequencepharmaceutical interventionpharmacological interventionpharmacological therapypharmacology interventionpharmacology treatmentpharmacotherapeuticspost treatmentprimary end pointprimary endpointprognostic biomarkerprognostic indicatorprotein aminoacid sequencerational designresolutionsresponsive patientseroconversionserological markerserology assaysuccesstherapeutic efficacytherapy efficacytooltransmission processtrendvolunteeryoungster
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Full Description

1 PROJECT SUMMARY / ABSTRACT
2

3 Trypanosoma cruzi is a parasite responsible for an important human disease, Chagas Disease, which

4 is endemic in the Americas. The parasite is transmitted by the bite of an insect, or by blood transfusion

5 or organ transplants. Current treatment is limited to two nitro-heterocyclic drugs, which can cure the

6 disease in its acute phase, and provide benefits to patients in the chronic stage, but they have

7 unwanted adverse effects. New drugs and treatments are being explored, but certification of cure in

8 clinical trials is difficult to achieve. Management of this disease rests heavily on the use of diagnostic

9 tools: either molecular detection of parasite DNA by PCR or circulating antibodies against parasite

10 proteins or protein fragments. Detection of parasite DNA is difficult in the chronic stage of the disease

11 where parasitemia is low or undetectable, and hence requires serial blood sampling and PCR

12 replicates to achieve reliable detection. In contrast, serological assays readily detect infections, and

13 reduction in antibody levels (seroconversion or trend to seroconversion) have been historically used

14 as primary endpoints in clinical trials with some success but requiring long follow-ups of patients. A

15 major unmet need in this area is thus the ability to produce earlier informative outcomes for treatment

16 success or failure. This constitutes a major obstacle in current drug trials. For this, a constant stream

17 of new biomarkers is required to explore their potential at these tasks. One of the most promising

18 developments in the field was the construction of an Atlas of Antigens and Epitopes for Chagas

19 disease, providing extensive information on the seroprevalence of defined epitopes across diverse

20 populations of infected patients. Using a large set of antigens identified in this Atlas, we are beginning

21 to obtain valuable information on how individual antibody repertoires of patients in a clinical trial

22 respond to treatments. In this application we build on this previous work and propose to characterize

23 the dynamics of the human antibody response against this parasite. Using peptide microarrays

24 displaying selected Trypanosoma cruzi peptide antigens we will investigate these dynamics in an

25 expanded set of retrospective samples from diverse patient populations. We will use this information

26 to prioritize serology markers for applications seeking to monitor disease status or progression. With

27 this set of prioritized antigens, we will produce proof-of-principle immunoassays for use in clinical

28 settings.

Grant Number: 1R01AI183396-01A1
NIH Institute/Center: NIH

Principal Investigator: Fernan Aguero

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