Metagenomics of the circulating blood microbiome and systemic inflammation in preterm infants
早产儿循环血液微生物组和全身炎症的宏基因组学
基本信息
- 批准号:9894147
- 负责人:
- 金额:$ 8万
- 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:2020-03-04 至 2022-02-28
- 项目状态:已结题
- 来源:
- 关键词:37 weeks gestationActinobacteria classAdultAnti-Inflammatory AgentsAntibioticsBacteriaBacterial DNABacteroidetesBioinformaticsBloodBlood specimenBrain InjuriesBronchopulmonary DysplasiaCharacteristicsClinicalCore FacilityDNADataDiseaseDonor SelectionEnrollmentEvaluationFecesFirmicutesFunctional disorderHumanHuman VolunteersInfantInfectionInflammationInflammatoryInjuryKnowledgeLeadLeukocytesLiteratureLiver diseasesLungMedical centerMedicineMetadataMetagenomicsMethodsNeonatalOral cavityOrganismOutcomePatient-Focused OutcomesPatientsPhylogenetic AnalysisPlasmaPopulationPremature InfantProteobacteriaPublishingRecombinant DNAReportingResearchResearch ProposalsRetinopathy of PrematurityRibosomal RNARoleRouteScienceSepsisSerumShotgun SequencingSkinSourceSterilitySwabSymptomsTechnical ExpertiseTechnologyTestingTexasTimeTissuesVaginaViralbacteriomebasechemokineclinically relevantcollegecytokinegastrointestinal epitheliumgut microbiomehealthy volunteerimprovedinnovationinsightmicrobialmicrobiomemicrobiotamultiple omicsmycobiomeneonatal outcomeneonatal sepsisneonatenovelnovel strategiesorgan injurypreterm newbornstool sampletissue injurytoolvirome
项目摘要
PROJECT SUMMARY
The sterility of circulating human blood has been questioned. A circulating blood microbiome in healthy and
disease states have been reported in adults associated with systemic inflammation but no such data exists in
preterm neonates. Our preliminary data shows that the blood of neonates whose blood cultures were negative
and who were considered non-infected, contained microbial DNA that can be characterized into distinct
phylogenetic groups. The hypothesis of the proposed research is that the microbial diversity and
composition of the circulating blood microbiome in preterm neonates is altered in infective states such
as sepsis, and the blood microbiome contributes to systemic inflammation. We will use a holistic, multi-
omics approach to test our hypothesis using 2 specific aims. In specific aim 1, we will determine the microbial
diversity and composition of the circulating blood microbiome (bacterial, fungal and viral) in healthy preterm
neonates and compare it with infants with culture-positive and culture-negative sepsis. In our second specific
aim, we propose to determine the association of the blood microbiome signatures with systemic inflammation
and neonatal outcomes. Our study will enroll a total of 60 preterm neonates; 20 with culture-proven sepsis, 20
neonates who do not have sepsis but have blood cultures drawn for symptoms of sepsis and were negative and
20 asymptomatic preterm neonates. The bacterial microbiome will be evaluated by metagenomic whole shotgun
sequencing, fungal microbiome (mycobiome) by targeting ITS2 region and virome by established methods. Stool
and skin swabs will be evaluated by 16S rDNA sequencing and cytokines profiles in the serum will be evaluated.
We will use multivariable analyses to correlate microbial load, diversity and composition and cytokine profiles to
clinical outcomes. Our proposal is innovative in that the presence of the blood microbiome, it’s association with
inflammation and outcomes in the neonatal population has not been reported and will challenge the current
paradigm of sterile blood in healthy neonates. The significance of the proposed research is that we will underpin
the pathophysiology of ‘culture-negative sepsis’ that is often associated with overuse of antibiotics. By utilizing
our state-of-the-science technology, analysis tools and technical expertise available at the Texas Medical Center,
we are poised to advance our knowledge on the blood microbiome and inflammatory injury, that may lead to
innovative anti-inflammatory therapy in vulnerable preterm infants.
项目总结
项目成果
期刊论文数量(0)
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Mohan Pammi其他文献
Mohan Pammi的其他文献
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{{ truncateString('Mohan Pammi', 18)}}的其他基金
Machine Learning and Multiomics for Predictive Models and Biomarker Discovery in Preterm Infants.
用于早产儿预测模型和生物标志物发现的机器学习和多组学。
- 批准号:
10729640 - 财政年份:2023
- 资助金额:
$ 8万 - 项目类别:
Microbiome Induced Epigenetic Changes in Intestinal Inflammation and Necrotizing Enterocolitis
微生物组诱导肠道炎症和坏死性小肠结肠炎的表观遗传变化
- 批准号:
10198959 - 财政年份:2020
- 资助金额:
$ 8万 - 项目类别:
Microbiome Induced Epigenetic Changes in Intestinal Inflammation and Necrotizing Enterocolitis
微生物组诱导肠道炎症和坏死性小肠结肠炎的表观遗传变化
- 批准号:
9893335 - 财政年份:2020
- 资助金额:
$ 8万 - 项目类别: