4 results on '"Sarah U. Morton"'
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2. A Role for Data Science in Precision Nutrition and Early Brain Development
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Sarah U. Morton, Brian J. Leyshon, Eleonora Tamilia, Rutvi Vyas, Michaela Sisitsky, Imran Ladha, John B. Lasekan, Matthew J. Kuchan, P. Ellen Grant, and Yangming Ou
- Subjects
brain development ,data science ,magnetic resonance image ,neonate ,nutrition ,Psychiatry ,RC435-571 - Abstract
Multimodal brain magnetic resonance imaging (MRI) can provide biomarkers of early influences on neurodevelopment such as nutrition, environmental and genetic factors. As the exposure to early influences can be separated from neurodevelopmental outcomes by many months or years, MRI markers can serve as an important intermediate outcome in multivariate analyses of neurodevelopmental determinants. Key to the success of such work are recent advances in data science as well as the growth of relevant data resources. Multimodal MRI assessment of neurodevelopment can be supplemented with other biomarkers of neurodevelopment such as electroencephalograms, magnetoencephalogram, and non-imaging biomarkers. This review focuses on how maternal nutrition impacts infant brain development, with three purposes: (1) to summarize the current knowledge about how nutrition in stages of pregnancy and breastfeeding impact infant brain development; (2) to discuss multimodal MRI and other measures of early neurodevelopment; and (3) to discuss potential opportunities for data science and artificial intelligence to advance precision nutrition. We hope this review can facilitate the collaborative march toward precision nutrition during pregnancy and the first year of life.
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- 2022
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- View/download PDF
3. Premature Infants Have Normal Maturation of the T Cell Receptor Repertoire at Term
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Sarah U. Morton, Maureen Schnur, Rylee Kerper, Vanessa Young, and Amy E. O’Connell
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prematurity ,immunity ,T cell ,T cell repertoire ,immune repertoire ,neonate ,Immunologic diseases. Allergy ,RC581-607 - Abstract
Premature infants are known to have immature immune systems compared to term infants; however, the impacts of ex utero immune development are not well characterized. Our previous retrospective clinical review showed prolonged T cell lymphopenia in a subset of extremely premature infants, suggesting that they may have lasting abnormalities in their T cell compartments. We used T cell receptor (TCR) repertoire sequencing to analyze the composition of the T cell compartment in premature and term infants in our NICU. We collected twenty-eight samples from individual subjects and analyzed the number of clonotypes, repertoire diversity, CDR3 length, and V gene usage between groups based on gestational age at birth and postmenstrual age at the time of sample collection. Further, we examined the TCR repertoire in infants with severe bronchopulmonary dysplasia (BPD) and those with abnormal T cell receptor excision circle (TREC) assays. Former extremely premature infants who were corrected to term postmenstrual age had TCR repertoire diversity that was more similar to term born infants than extremely premature infants, supporting normal maturation of the repertoire. Infants with severe BPD did not appear to have increased abnormalities in repertoire diversity. Decreased TCR repertoire diversity was associated with repeatedly abnormal TREC screening, although the diversity was within the normal range for subjects without low TRECs. This study suggests that extremely premature infants demonstrate normal maturation of the T cell repertoire ex utero. Further work is needed to better characterize postnatal T cell development and function in this population.
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- 2022
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4. Separating Putative Pathogens from Background Contamination with Principal Orthogonal Decomposition: Evidence for Leptospira in the Ugandan Neonatal Septisome
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Steven J. Schiff, Vivek Kapur, Kaleb Bogale, Juliet Mwanga-Amumpaire, James R. Broach, Mary Poss, Joel Bazira, Eunice Nyesigire, Julius Kiwanuka, Sarah U. Morton, Lan K. Nguyen, Kevin Mu, Emily Sproul, Dickson Tumusiime, Gina Riggio, Nkangi Lwanga, and Benjamin C. Warf
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0301 basic medicine ,neonatal sepsis ,030231 tropical medicine ,Population ,principal orthogonal decomposition ,Bioinformatics ,Microbiology ,03 medical and health sciences ,0302 clinical medicine ,Leptospira ,medicine ,Quantitative Biology - Genomics ,16S rRNA ,education ,bacteria ,Organism ,Original Research ,Genomics (q-bio.GN) ,education.field_of_study ,biology ,Neonatal sepsis ,singular value decomposition ,General Medicine ,Environmental exposure ,biology.organism_classification ,16S ribosomal RNA ,medicine.disease ,3. Good health ,030104 developmental biology ,FOS: Biological sciences ,Enzootic ,Medicine ,Bacteria - Abstract
Neonatal sepsis (NS) is responsible for over a 1 million yearly deaths worldwide. In the developing world NS is often treated without an identified microbial pathogen. Amplicon sequencing of the bacterial 16S rRNA gene can be used to identify organisms that are difficult to detect by routine microbiological methods. However, contaminating bacteria are ubiquitous in both hospital settings and research reagents, and must be accounted for to make effective use of these data. In the present study, we sequenced the bacterial 16S rRNA gene obtained from blood and cerebrospinal fluid (CSF) of 80 neonates presenting with NS to the Mbarara Regional Hospital in Uganda. Assuming that patterns of background contamination would be independent of pathogenic microorganism DNA, we applied a novel quantitative approach using principal orthogonal decomposition to separate background contamination from potential pathogens in sequencing data. We designed our quantitative approach contrasting blood, CSF, and control specimens, and employed a variety of statistical random matrix bootstrap hypotheses to estimate statistical significance. These analyses demonstrate that Leptospira appears present in some infants presenting within 48 hr of birth, indicative of infection in utero, and up to 28 days of age, suggesting environmental exposure. This organism cannot be cultured in routine bacteriological settings, and is enzootic in the cattle that the rural peoples of western Uganda often live in close proximity. Our findings demonstrate that statistical approaches to remove background organisms common in 16S sequence data can reveal putative pathogens in small volume biological samples from newborns. This computational analysis thus reveals an important medical finding that has the potential to alter therapy and prevention efforts in a critically ill population., 23 pages, 2 figures
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- 2016
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