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Metabolite Profiling for New Advances in Biomarker Discovery, Cystic Fibrosis Screening and Drug Surveillance

dc.contributor.advisorBritz-McKibbin, Philip
dc.contributor.authorDiBattista, Alicia
dc.contributor.departmentChemical Biologyen_US
dc.date.accessioned2018-03-16T19:37:13Z
dc.date.available2018-03-16T19:37:13Z
dc.date.issued2018
dc.description.abstractThe role of biological markers (biomarkers) in public health, pediatric medicine and clinical toxicology cannot be understated. Clinically validated biomarkers used in newborn screening (NBS) serve to detect individuals at risk for a disease in the population, pre-symptomatically diagnose affected neonates early in life and/or accurately predict disease progression and treatment responses to therapy. However, there is urgent need for the discovery of more specific biomarkers that can improve screening accuracy in a high throughput, cost-effective yet ethical manner. The major objectives of this thesis were to develop innovative nontargeted metabolite profiling methodologies based on multisegment injection-capillary electrophoresis-mass spectrometry (MSI-CE-MS) for early detection of treatable genetic diseases, as well as comprehensive surveillance of drugs of abuse (DoA) in high risk subjects. Chapter II introduces a multiplexed MSI-CE-MS strategy for confirmatory testing of known biomarkers for various inborn errors of metabolism from a dried blood spot (DBS) that was rigorously validated using proficiency test specimens from Centres for Disease Control and Prevention (CDC) and authentic neonatal samples from Newborn Screening Ontario (NSO) with quality assurance. Additionally, MSI-CE-MS together with temporal signal pattern recognition revealed for the first time a novel class of pathognomonic marker elevated in galactosemia, namely N-galactated amino acids. Chapter III describes an untargeted metabolomic study to discover biomarkers of cystic fibrosis (CF) to reduce the high false positive rate and widespread carrier identification by current two-tiered NBS algorithms that rely on genetic testing. A panel of metabolites from retrospective DBS specimens, including several amino acids, ophthalmic acid and an unknown peptide, allowed for differentiation of asymptomatic CF neonates from screen-positive yet unaffected carriers and transient hypertrypsinogenemic cases. Chapter IV develops and validates a high throughput MSI-CE-MS assay for rapid screening for DoA and their metabolites in human urine with improved specificity and broad spectrum coverage as compared to classic targeted immunoassays. This method can also applied to ensure compliance, drug efficacy and patient safety while detecting for potential substitution or adulteration when using high resolution MS/MS. In summary, this thesis contributes an innovative methodology and data workflow for biomarker discovery for improved neonatal screening of rare genetic diseases in the population, which was also applied for more effective drug surveillance strategies in public health given the alarming worldwide opioid crisis.en_US
dc.description.degreeDoctor of Philosophy (PhD)en_US
dc.description.degreetypeThesisen_US
dc.identifier.urihttp://hdl.handle.net/11375/22664
dc.language.isoenen_US
dc.subjectCapillary Electrophoresisen_US
dc.subjectMass Spectrometryen_US
dc.subjectMetabolomicsen_US
dc.subjectCystic Fibrosisen_US
dc.subjectBiomarkeren_US
dc.subjectAnalytical Methodsen_US
dc.subjectInborn Errors of Metabolismen_US
dc.subjectDrugs of Abuseen_US
dc.subjectDrug Screeningen_US
dc.subjectPopulation Screeningen_US
dc.titleMetabolite Profiling for New Advances in Biomarker Discovery, Cystic Fibrosis Screening and Drug Surveillanceen_US
dc.typeThesisen_US

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