Browsing by Author "McGrail, Kieran M."

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    A genomic data archive from the Network for Pancreatic Organ donors with Diabetes
    (Springer Nature, 2023-05-26) Perry, Daniel J.; Shapiro, Melanie R.; Chamberlain, Sonya W.; Kusmartseva, Irina; Chamala, Srikar; Balzano-Nogueira, Leandro; Yang, Mingder; Brant, Jason O.; Brusko, Maigan; Williams, MacKenzie D.; McGrail, Kieran M.; McNichols, James; Peters, Leeana D.; Posgai, Amanda L.; Kaddis, John S.; Mathews, Clayton E.; Wasserfall, Clive H.; Webb-Robertson, Bobbie-Jo M.; Campbell-Thompson, Martha; Schatz, Desmond; Evans-Molina, Carmella; Pugliese, Alberto; Concannon, Patrick; Anderson, Mark S.; German, Michael S.; Chamberlain, Chester E.; Atkinson, Mark A.; Brusko, Todd M.; Pediatrics, School of Medicine
    The Network for Pancreatic Organ donors with Diabetes (nPOD) is the largest biorepository of human pancreata and associated immune organs from donors with type 1 diabetes (T1D), maturity-onset diabetes of the young (MODY), cystic fibrosis-related diabetes (CFRD), type 2 diabetes (T2D), gestational diabetes, islet autoantibody positivity (AAb+), and without diabetes. nPOD recovers, processes, analyzes, and distributes high-quality biospecimens, collected using optimized standard operating procedures, and associated de-identified data/metadata to researchers around the world. Herein describes the release of high-parameter genotyping data from this collection. 372 donors were genotyped using a custom precision medicine single nucleotide polymorphism (SNP) microarray. Data were technically validated using published algorithms to evaluate donor relatedness, ancestry, imputed HLA, and T1D genetic risk score. Additionally, 207 donors were assessed for rare known and novel coding region variants via whole exome sequencing (WES). These data are publicly-available to enable genotype-specific sample requests and the study of novel genotype:phenotype associations, aiding in the mission of nPOD to enhance understanding of diabetes pathogenesis to promote the development of novel therapies.
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    Peripheral immune circadian variation, synchronisation and possible dysrhythmia in established type 1 diabetes
    (Springer, 2021-08) Beam, Craig A.; Beli, Eleni; Wasserfall, Clive H.; Woerner, Stephanie E.; Legge, Megan T.; Evans-Molina, Carmella; McGrail, Kieran M.; Silk, Ryan; Grant, Maria B.; Atkinson, Mark A.; DiMeglio, Linda A.; Pediatrics, School of Medicine
    Aims/hypothesis: The circadian clock influences both diabetes and immunity. Our goal in this study was to characterise more thoroughly the circadian patterns of immune cell populations and cytokines that are particularly relevant to the immune pathology of type 1 diabetes and thus fill in a current gap in our understanding of this disease. Methods: Ten individuals with established type 1 diabetes (mean disease duration 11 years, age 18-40 years, six female) participated in a circadian sampling protocol, each providing six blood samples over a 24 h period. Results: Daily ranges of population frequencies were sometimes large and possibly clinically significant. Several immune populations, such as dendritic cells, CD4 and CD8 T cells and their effector memory subpopulations, CD4 regulatory T cells, B cells and cytokine IL-6, exhibited statistically significant circadian rhythmicity. In a comparison with historical healthy control individuals, but using shipped samples, we observed that participants with type 1 diabetes had statistically significant phase shifts occurring in the time of peak occurrence of B cells (+4.8 h), CD4 and CD8 T cells (~ +5 h) and their naive and effector memory subsets (~ +3.3 to +4.5 h), and regulatory T cells (+4.1 h). An independent streptozotocin murine experiment confirmed the phase shifting of CD8 T cells and suggests that circadian dysrhythmia in type 1 diabetes might be an effect and not a cause of the disease. Conclusions/interpretation: Future efforts investigating this newly described aspect of type 1 diabetes in human participants are warranted. Peripheral immune populations should be measured near the same time of day in order to reduce circadian-related variation.