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Rainbow Designs Official ET Soft Toy - ET the Extra Terrestrial Plush Teddy - Perfect for Kids & Toddlers - Universal Kidult Memorabilia

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Costa, F. R. et al. Gut microbiota translocation to the pancreatic lymph nodes triggers NOD2 activation and contributes to T1D onset. J. Exp. Med. 213, 1223–1239 (2016). Joseph F. Petrosino, Nadim J. Ajami, Richard E. Lloyd, Matthew C. Ross, Jacqueline L. O’Brien, Diane S. Hutchinson, Daniel P. Smith, Matthew C. Wong, Xiangjun Tian, Tulin Ayvaz, Auriole Tamegnon, Nguyen Truong, Hannah Moreno, Lauren Riley, Eduardo Moreno, Tonya Bauch & Lenka Kusic Suvi Ahonen, Mari Åkerlund, Mirva Koreasalo, Maija Miettinen, Sari Niinistö, Jenna Rautanen, Anne Riikonen, Suvi M. Virtanen, Suvi M. Virtanen, Mirva Koreasalo, Maija Miettinen, Sari Niinistö & Anne Riikonen Health Informatics Institute, Morsani College of Medicine, University of South Florida, Tampa, FL, USA Uusitalo, U. et al. Association of early exposure of probiotics and islet autoimmunity in the TEDDY Study. JAMA Pediatr. 170, 20–28 (2016).

Hippich, M. et al. Genetic contribution to the divergence in type 1 diabetes risk between children from the general population and children from affected families. Diabetes 68, 847–857 (2019). Zhernakova, A. et al. Population-based metagenomics analysis reveals markers for gut microbiome composition and diversity. Science 352, 565–569 (2016). Stewart, C. J. et al. Temporal development of the gut microbiome in early childhood from the TEDDY study. Nature https://doi.org/10.1038/s41586-018-0617-x (2018). Cortes, A. & Brown, M. A. Promise and pitfalls of the immunochip. Arthritis Res. Ther. 13, 101 (2011). Huang, K. et al. MetaRef: a pan-genomic database for comparative and community microbial genomics. Nucleic Acids Res. 42, D617–D624 (2014).

Hagopian, W. A. et al. TEDDY—The Environmental Determinants of Diabetes in the Young: an observational clinical trial. Ann. NY Acad. Sci. 1079, 320–326 (2006). Blanche, P., Dartigues, J.-F. & Jacqmin-Gadda, H. Estimating and comparing time-dependent areas under receiver operating characteristic curves for censored event times with competing risks. Stat. Med. 32, 5381–5397 (2013). Lee, H. S. et al. Biomarker discovery study design for type 1 diabetes in The Environmental Determinants of Diabetes in the Young (TEDDY) study. Diabetes Metab. Res. Rev. 30, 424–434 (2014). TEDDY is a prospective cohort study funded by the National Institutes of Health with the primary goal to identify environmental causes of T1D. It includes six clinical research centres—three in the United States (Colorado, Georgia/Florida, Washington) and three in Europe (Finland, Germany and Sweden). Detailed study design and methods have been previously published 28, 41, 42. Written informed consents were obtained for all study participants from a parent or primary caretaker, separately, for genetic screening and participation in a prospective follow-up. The TEDDY study was approved by local US Institutional Review Boards and European Ethics Committee Boards in Colorado’s Colorado Multiple Institutional Review Board, Georgia’s Medical College of Georgia Human Assurance Committee (2004–2010), Georgia Health Sciences University Human Assurance Committee (2011–2012), Georgia Regents University Institutional Review Board (2013–2015), Augusta University Institutional Review Board (2015–present), Florida’s University of Florida Health Center Institutional Review Board, Washington state’s Washington State Institutional Review Board (2004–2012) and Western Institutional Review Board (2013–present), Finland’s Ethics Committee of the Hospital District of Southwest Finland, Germany’s Bayerischen Landesärztekammer (Bavarian Medical Association) Ethics Committee, Sweden’s Regional Ethics Board in Lund, Section 2 (2004–2012) and Lund University Committee for Continuing Ethical Review (2013–present). The study is monitored by External Advisory Board formed by the National Institutes of Health. Tommi Vatanen, Eric A. Franzosa, Surya Tripathi, Timothy D. Arthur, Dirk Gevers, Hera Vlamakis, Curtis Huttenhower & Ramnik J. Xavier

Maffeis, C. et al. Association between intestinal permeability and faecal microbiota composition in Italian children with beta cell autoimmunity at risk for type 1 diabetes. Diabetes Metab. Res. Rev. 32, 700–709 (2016). Needell, J. C. & Zipris, D. The role of the intestinal microbiome in type 1 diabetes pathogenesis. Curr. Diab. Rep. 16, 89 (2016). Lönnrot, M. et al. A method for reporting and classifying acute infectious diseases in a prospective study of young children: TEDDY. BMC Pediatr. 15, 24 (2015).Ziegler, A. G. et al. Seroconversion to multiple islet autoantibodies and risk of progression to diabetes in children. J. Am. Med. Assoc. 309, 2473–2479 (2013). Alkek Center for Metagenomics and Microbiome Research, Department of Molecular Virology and Microbiology, Baylor College of Medicine, Houston, TX, USA Anderson, J. R., Cain, K. C. & Gelber, R. D. Analysis of survival by tumor response. J. Clin. Oncol. 1, 710–719 (1983).

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