Host Proteomic Biosignatures for a Urine-based Diagnosis of Pulmonary Tuberculosis in Children
用于基于尿液诊断儿童肺结核的宿主蛋白质组生物特征
基本信息
- 批准号:10038668
- 负责人:
- 金额:$ 20.94万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2020
- 资助国家:美国
- 起止时间:2020-09-01 至 2025-08-31
- 项目状态:未结题
- 来源:
- 关键词:AddressAdultAgeBedside TestingsBioinformaticsBiological AssayBiological MarkersBloodCaliforniaCessation of lifeChildChild CareChildhoodClinicalConsensusCouplingDataDevelopmentDiagnosisDiagnosticDiagnostic SensitivityDiagnostic testsDiseaseEnrollmentEnvironmentEvaluationFundingGene ExpressionGene Expression ProfileGoalsHealth systemHospital ReferralsHumanImmune responseImmunoassayInfectionInfrastructureInternationalLeadMachine LearningMass Spectrum AnalysisMeasuresMentored Patient-Oriented Research Career Development AwardMentorsMentorshipMycobacterium tuberculosisNested Case-Control StudyPathogenesisPathway AnalysisPathway interactionsPerformancePhysiciansPost-Translational Protein ProcessingProspective cohortProteinsProteomeProteomicsPublic HealthPulmonary TuberculosisReportingResearchResearch PersonnelResourcesRoleSamplingSan FranciscoScientistShotgunsSiteSpecificitySputumTestingTrainingTranslatingTriageTuberculosisUgandaUnited States National Institutes of HealthUniversitiesUrineWorkaccurate diagnosisbasebiomarker discoverybiomarker panelbiosignaturecandidate markercareercareer developmentcohortdisease phenotypeexperienceimprovedmortalitymultidisciplinarynovelnovel markerpoint of carepre-clinicalprospectiveprotein biomarkersresearch and developmentsample collectiontool
项目摘要
PROJECT ABSTRACT
Tuberculosis (TB) is a leading cause of mortality in children worldwide. Difficulty in obtaining sputum and a low
sputum bacillary load are major barriers to diagnosis, and necessitate the development of a non-sputum,
biomarker-based assay for childhood intrathoracic TB disease. Host biomarker discovery for childhood TB
requires a greater focus on downstream proteins and their post-translational modifications (PTMs) that are more
likely to be specific to a disease phenotype and can be more easily translated into a point-of-care test. With the
support of this K23 award, Dr. Devan Jaganath will identify a host proteomic biosignature in urine that can
achieve the goal accuracy for a triage and/or diagnostic test for pulmonary TB in children. To complete this
objective, he will leverage an ongoing prospective cohort of symptomatic children being evaluated for
intrathoracic TB in Kampala, Uganda, with the extensive proteomic facilities available at the University of
California, San Francisco (UCSF). In Aim 1, he will perform targeted mass spectrometry on urine samples from
children with confirmed vs. unlikely TB, and examine the abundance and ubiquitylation of 10 host proteins that
have prior evidence of specific interactions with M. tuberculosis (Mtb) proteins as candidate biomarkers. In Aim
2, he will use shotgun mass spectrometry on the urine samples to identify all host proteins and their PTMs that
can differentiate TB status as novel biomarkers, and perform pathway analysis to determine the subset with
functional relevance to Mtb pathogenesis. In Aim 3, he will apply machine learning analyses to identify the
smallest combination of biomarkers that can achieve the target accuracy thresholds for a triage and/or diagnostic
test for intrathoracic TB disease. He will then evaluate the performance of promising biosignatures in an
independent, prospectively enrolled test set. Through this approach, Dr. Jaganath seeks to optimize biomarker
discovery for childhood TB diagnosis by coupling prospective clinical cohorts with a targeted and untargeted
high-throughput approach to comprehensively examine non-sputum samples for host biomarkers for children.
Dr. Jaganath's career goal is to be a physician scientist who translates non-sputum biomarkers into clinical tools
that can improve the care of children with TB. To support his path to independence, the proposed work will be
paired with a dedicated, multidisciplinary mentorship team and training in international pediatric TB biomarker
studies, bioinformatics for proteomic analysis, and machine learning. UCSF is an outstanding environment that
is committed to junior investigators with extensive resources for research and career development, and Mulago
National Referral Hospital in Uganda is a leader in pediatric TB research, and has the established infrastructure
for ongoing enrollment and sample collection. The findings will support an NIH R01 application to validate the
biomarkers and biosignatures in large, diverse cohorts in comparison to existing non-sputum diagnostics. Thus,
the K23 award will provide Dr. Jaganath with the critical mentorship, training, resources and experience to
become an independent investigator who can make important contributions to the field of childhood TB.
项目摘要
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Devan Jaganath其他文献
Devan Jaganath的其他文献
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{{ truncateString('Devan Jaganath', 18)}}的其他基金
Automated lung sound analysis to improve the clinical diagnosis of pulmonary tuberculosis in children
自动肺音分析提高儿童肺结核的临床诊断
- 批准号:
10717389 - 财政年份:2023
- 资助金额:
$ 20.94万 - 项目类别:
Host Proteomic Biosignatures for a Urine-based Diagnosis of Pulmonary Tuberculosis in Children
用于基于尿液诊断儿童肺结核的宿主蛋白质组生物特征
- 批准号:
10248492 - 财政年份:2020
- 资助金额:
$ 20.94万 - 项目类别:
Host Proteomic Biosignatures for a Urine-based Diagnosis of Pulmonary Tuberculosis in Children
用于基于尿液诊断儿童肺结核的宿主蛋白质组生物特征
- 批准号:
10469006 - 财政年份:2020
- 资助金额:
$ 20.94万 - 项目类别:
Host Proteomic Biosignatures for a Urine-based Diagnosis of Pulmonary Tuberculosis in Children
用于基于尿液诊断儿童肺结核的宿主蛋白质组生物特征
- 批准号:
10688066 - 财政年份:2020
- 资助金额:
$ 20.94万 - 项目类别:
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