Longitudinal microbiome-host interactions and clinical outcomes in drug-resistant tuberculosis patients
Longitudinal microbiome-host interactions and clinical outcomes in drug-resistant tuberculosis patients
批准号:
10672997
负责人:
Charissa Camille Naidoo
金额:
$8.93万
依托单位:
依托单位国家:
美国
项目类别:
财政年份:
2022
资助国家:
美国
项目状态:
未结题
起止时间:
2022-07-27 至 2027-06-30
关键词:
16S ribosomal RNA sequencingAcetatesAdolescentAdultAffectAfricanAftercareAnaerobic BacteriaAntibiotic TherapyAntibioticsAntitubercular AntibioticsButyratesCause of DeathClinicalClinical TrialsCollaborationsCombined AntibioticsComputing MethodologiesDataDedicationsDietary SupplementationDoseDrug KineticsDrug resistance in tuberculosisEnterobacterEnterobacteriaceaeEpidemicEthambutolEtiologyFecesFoundationsFundingFutureHIVHealthHealth BenefitHospitalsHuman MicrobiomeImmuneInflammatoryInjectionsInterventionKlebsiellaKnowledgeLeukocytesLevaquinLifeLinezolidMass ChromatographyMass FragmentographyMass Spectrum AnalysisMeasuresMediatorMentorsMentorshipMetabolicMetadataMonitorMultidrug-Resistant TuberculosisMusNew YorkOralOutcomePantoeaParentsPathogenesisPathway AnalysisPathway interactionsPatientsPersonsPharmaceutical PreparationsPhysiologicalProductionPropionatesProspective, cohort studyProvincePulmonary TuberculosisPyrazinamideRegimenResearchResearch PriorityResearch SupportResistanceRifampicin resistanceRifampinSamplingScientistSouth AfricaSouth AfricanSputumStructureTestingTreatment outcomeTuberculosisUncertaintyUniversitiesVolatile Fatty AcidsWithholding TreatmentWorkabsorptioncareercareer developmentcohortcombinatorialcommensal microbesdesigndiagnostic tooldrug-sensitiveexperimental studyglobal health emergencygut microbiotahost microbiomehuman microbiotaimmunoregulationimprovedisoniazidlongitudinal analysislow and middle-income countriesmedical schoolsmicrobialmicrobial communitymicrobial hostmicrobiomemicrobiome researchmicrobiotamicrobiota profilesmortalitymultidisciplinaryprogramsresilienceresponserisk predictiontreatment responsetuberculosis drugstuberculosis treatment
中文摘要
项目总结
英文摘要
PROJECT SUMMARY
The human microbiome is an essential mediator of health and influences important metabolic functions through
production of short chain fatty acids (SCFAs). These compounds have been shown to independently predict risk
for developing tuberculosis (TB) – a leading cause of death in South Africa. Antibiotics may profoundly impact
the microbiome yet the impact of treatment on the microbiome remains completely uncharacterized in patients
with rifampicin-resistant and multidrug-resistant tuberculosis (RR/MDR-TB; resistance to the two most effective
TB drugs). In response to the RR/MDR-TB epidemic, the South African National Programme rolled-out an all-
oral shorter course regimen (SCR) which is being investigated within the funded observational prospective cohort
study (SHIFT-TB; PI: Dr Graeme Meintjes) that this proposal (NASCENT; PI: Dr Charissa Naidoo) will leverage.
We hypothesize that the SCR, though comprising lifesaving antibiotics for TB, also contain others which could
plausibly affect the commensal microbiota (≤540 broad-spectrum antibiotic doses given over 9 months). Using
16S rRNA gene sequencing, we will longitudinally characterize the sputum and stool microbiota in 260 RR/MDR-
TB adults and adolescents (≥ 15 years) initiating the SCR at Nkqubela Hospital, Eastern Cape Province, South
Africa, at five intervals before, during, and after treatment. We will correlate the microbiota with important clinical
metadata measured in the parent study, including repeated pharmacokinetic (Pk) data and pre-defined clinical
outcomes. This work will lay the foundation for future trials where the microbiome is monitored as a diagnostic
tool for clinical outcomes or modulated (through dietary supplementation, host-directed therapies) to improve
long-term health (i.e., post-TB lung sequalae).
Specifically, Aim 1 will evaluate changes in the sputum and stool microbiota in patients receiving treatment for
RR/MDR-TB. Aim 2 will, using targeted as chromatography-mass spectrometry in stool, longitudinally quantify
microbially-produced SCFAs (butyrate, propionate, acetate) and correlate SCFAs with the microbiota in co-
occurrence network analyses. Aim 3 will evaluate longitudinal associations between the microbiota and drug Pk
(where we expect greater drug absorption to result in greater microbial shifts and loss of diversity), and whether
distinct microbiomes reflect favorable vs. unfavorable outcomes.
Together, the proposal will achieve the following: 1) promote an independently funded research career for the
candidate at Stellenbosch University (through structured mentorship with scientific experts), 2) strengthen South
African analytical capacity for microbiome research in a low-middle income country (LMIC) research priority (TB),
3) and enhance long term collaboration with leading US scientists.
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