Megan M. Doty
A5064761511- Metabolomics and Mass Spectrometry Studies
- Gut microbiota and health
- Infant Nutrition and Health
- Bioinformatics and Genomic Networks
- Assistive Technology in Communication and Mobility
- Disability Education and Employment
- Neonatal Health and Biochemistry
- Gene expression and cancer classification
- Family and Disability Support Research
- Intimate Partner and Family Violence
- Grief, Bereavement, and Mental Health
- Advanced Chemical Sensor Technologies
- Elder Abuse and Neglect
- Advanced Proteomics Techniques and Applications
- Microbial Community Ecology and Physiology
- Neonatal Respiratory Health Research
- Isotope Analysis in Ecology
Chapman University
2024
Bridge University
2024
University of California, San Diego
2016-2023
Kapiolani Medical Center for Women and Children
2020
La Jolla Alcohol Research
2020
University of Hawaiʻi at Mānoa
2020
Various indoor, outdoor, and host-associated environments contain small quantities of microbial biomass represent a niche that is often understudied because technical constraints. Many studies attempt to evaluate these low-biomass microbiome samples are riddled with erroneous results typically false positive signals obtained during the sampling process. We have investigated various kits methods determine limit detection pipelines. Here we present KatharoSeq, high-throughput protocol...
Objective The aim of this study was to determine whether very low-birth-weight (VLBW) infants who had feedings withheld during all blood transfusions a lower incidence necrotizing enterocolitis (NEC) compared with were fed transfusions. Study Design A retrospective chart review over 3-year period in level-3 neonatal intensive care unit conducted. total 108 inborn VLBW (weight range: 500-1,500 g) received transfusion before 36 weeks reviewed. Diagnosis NEC (≥ Bell stage II), demographics,...
Summary The human metabolome has remained largely unknown, with most studies annotating ∼10% of features. In nucleic acid sequencing, transcripts by source proven essential for understanding gene function. Here we generalize this concept to stool, plasma, urine and other metabolomes, discovering that food-based annotations increase the interpreted fraction molecular features 7-fold, providing a general framework expanding interpretability metabolomic “dark matter.”
Abstract The first week after birth is a critical time for the establishment of microbial communities infants. Preterm infants face unique environmental impacts on their newly acquired microbiomes, including increased incidence cesarean section delivery and exposure to antibiotics as well delayed enteral feeding reduced human interaction during intensive care unit stay. Using contextualized paired metabolomics 16S sequencing data, development gut, skin, oral microbiomes profiled daily birth,...
The human metabolome has remained largely unknown, with most studies annotating ~10% of features. In nucleic acid sequencing, transcripts by source proven essential for understanding gene function. Here we generalize this concept to stool, plasma, urine and other metabolomes, discovering that food-based annotations increase the interpreted fraction molecular features 7-fold, providing a general framework expanding interpretability metabolomic "dark matter."
Abstract Human untargeted metabolomics studies succeed in annotating only ~10% of molecular features. We, therefore, introduce reference data-driven analysis that uses the source data as a pseudo-MS/MS library to match against human MS/MS data. We demonstrate this approach with food data, allowing an empirical assessment dietary patterns from but is broadly applicable and provides additional layer interpretability