Literature DB >> 23674484

Methods, quality control and specimen management in an international multicentre investigation of type 1 diabetes: TEDDY.

Kendra Vehik1, Steven W Fiske, Chad A Logan, Daniel Agardh, Corrado M Cilio, William Hagopian, Olli Simell, Merja Roivainen, Jin-Xiong She, Thomas Briese, Sami Oikarinen, Heikki Hyoty, Anette-G Ziegler, Marian Rewers, Ake Lernmark, Beena Akolkar, Jeffrey P Krischer, Brant R Burkhardt.   

Abstract

BACKGROUND: The vast array and quantity of longitudinal samples collected in The Environmental Determinants of Diabetes in the Young study present a series of challenges in terms of quality control procedures and data validity. To address this, pilot studies have been conducted to standardize and enhance both biospecimen collection and sample obtainment in terms of autoantibody collection, stool sample preservation, RNA, biomarker stability, metabolic biomarkers and T-cell viability. RESEARCH DESIGN AND METHODS: The Environmental Determinants of Diabetes in the Young is a multicentre, international prospective study (n = 8677) designed to identify environmental triggers of type 1 diabetes (T1D) in genetically at-risk children from ages 3 months until 15 years. The study is conducted through six primary clinical centres located in four countries.
RESULTS: As of May 2012, over three million biological samples and 250 million total data points have been collected, which will be analysed to assess autoimmunity status, presence of inflammatory biomarkers, genetic factors, exposure to infectious agents, dietary biomarkers and other potentially important environmental exposures in relation to autoimmunity and progression to T1D.
CONCLUSIONS: Detailed procedures were utilized to standardize both data harmonization and management when handling a large quantity of longitudinal samples obtained from multiple locations. In addition, a description of the available specimens is provided that serve as an invaluable repository for the elucidation of determinants in T1D focusing on autoantibody concordance and harmonization, transglutaminase autoantibody, inflammatory biomarkers (T-cells), genetic proficiency testing, RNA lab internal quality control testing, infectious agents (monitoring cross-contamination, virus preservation and nasal swab collection validity) and HbA1c testing.
Copyright © 2013 John Wiley & Sons, Ltd.

Entities:  

Keywords:  RNA; T-cell viability; biomarker stability; data integrity; metabolic biomarkers; quality control; stool sample preservation

Mesh:

Substances:

Year:  2013        PMID: 23674484      PMCID: PMC3992860          DOI: 10.1002/dmrr.2427

Source DB:  PubMed          Journal:  Diabetes Metab Res Rev        ISSN: 1520-7552            Impact factor:   8.128


  12 in total

1.  Harmonization of glutamic acid decarboxylase and islet antigen-2 autoantibody assays for national institute of diabetes and digestive and kidney diseases consortia.

Authors:  Ezio Bonifacio; Liping Yu; Alastair K Williams; George S Eisenbarth; Polly J Bingley; Santica M Marcovina; Kerstin Adler; Anette G Ziegler; Patricia W Mueller; Desmond A Schatz; Jeffrey P Krischer; Michael W Steffes; Beena Akolkar
Journal:  J Clin Endocrinol Metab       Date:  2010-05-05       Impact factor: 5.958

2.  Proficiency testing of human leukocyte antigen-DR and human leukocyte antigen-DQ genetic risk assessment for type 1 diabetes using dried blood spots.

Authors:  Paul Dantonio; Nancy Meredith-Molloy; William A Hagopian; Jin Xiong She; Beena Akolkar; Suzanne K Cordovado; Miyono Hendrix; L Omar Henderson; W Harry Hannon; Robert F Vogt
Journal:  J Diabetes Sci Technol       Date:  2010-07-01

3.  A report on the International Transglutaminase Autoantibody Workshop for Celiac Disease.

Authors:  Marcella Li; Liping Yu; Claudio Tiberti; Margherita Bonamico; Iman Taki; Dongmei Miao; Joseph A Murray; Marian J Rewers; Edward J Hoffenberg; Daniel Agardh; Patricia Mueller; Martin Stern; Ezio Bonifacio; Edwin Liu
Journal:  Am J Gastroenterol       Date:  2009-01       Impact factor: 10.864

4.  A high-throughput population screening system for the estimation of genetic risk for type 1 diabetes: an application for the TEDDY (the Environmental Determinants of Diabetes in the Young) study.

Authors:  Minna Kiviniemi; Robert Hermann; Jussi Nurmi; Anette G Ziegler; Mikael Knip; Olli Simell; Riitta Veijola; Timo Lövgren; Jorma Ilonen
Journal:  Diabetes Technol Ther       Date:  2007-10       Impact factor: 6.118

5.  HLA DR-DQ haplotypes and genotypes and type 1 diabetes risk: analysis of the type 1 diabetes genetics consortium families.

Authors:  Henry Erlich; Ana Maria Valdes; Janelle Noble; Joyce A Carlson; Mike Varney; Pat Concannon; Josyf C Mychaleckyj; John A Todd; Persia Bonella; Anna Lisa Fear; Eva Lavant; Anthony Louey; Priscilla Moonsamy
Journal:  Diabetes       Date:  2008-02-05       Impact factor: 9.461

Review 6.  Isolation and preservation of peripheral blood mononuclear cells for analysis of islet antigen-reactive T cell responses: position statement of the T-Cell Workshop Committee of the Immunology of Diabetes Society.

Authors:  R Mallone; S I Mannering; B M Brooks-Worrell; I Durinovic-Belló; C M Cilio; F S Wong; N C Schloot
Journal:  Clin Exp Immunol       Date:  2010-10-05       Impact factor: 4.330

7.  Enterovirus infection and progression from islet autoimmunity to type 1 diabetes: the Diabetes and Autoimmunity Study in the Young (DAISY).

Authors:  Lars C Stene; Sami Oikarinen; Heikki Hyöty; Katherine J Barriga; Jill M Norris; Georgeanna Klingensmith; John C Hutton; Henry A Erlich; George S Eisenbarth; Marian Rewers
Journal:  Diabetes       Date:  2010-09-21       Impact factor: 9.461

8.  Enterovirus RNA in blood is linked to the development of type 1 diabetes.

Authors:  Sami Oikarinen; Mika Martiskainen; Sisko Tauriainen; Heini Huhtala; Jorma Ilonen; Riitta Veijola; Olli Simell; Mikael Knip; Heikki Hyöty
Journal:  Diabetes       Date:  2010-10-13       Impact factor: 9.461

9.  The Environmental Determinants of Diabetes in the Young (TEDDY): genetic criteria and international diabetes risk screening of 421 000 infants.

Authors:  William A Hagopian; Henry Erlich; Ake Lernmark; Marian Rewers; Anette G Ziegler; Olli Simell; Beena Akolkar; Robert Vogt; Alan Blair; Jorma Ilonen; Jeffrey Krischer; JinXiong She
Journal:  Pediatr Diabetes       Date:  2011-05-12       Impact factor: 3.409

10.  Diagnostic system for rapid and sensitive differential detection of pathogens.

Authors:  Thomas Briese; Gustavo Palacios; Mark Kokoris; Omar Jabado; Zhiqiang Liu; Neil Renwick; Vishal Kapoor; Inmaculada Casas; Francisco Pozo; Ron Limberger; Pilar Perez-Brena; Jingyue Ju; W Ian Lipkin
Journal:  Emerg Infect Dis       Date:  2005-02       Impact factor: 6.883

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  34 in total

1.  Evaluation of urinary protein precipitation protocols for the multidisciplinary approach to the study of chronic pelvic pain research network.

Authors:  Karen R Jonscher; Andrea A Osypuk; Adrie van Bokhoven; M Scott Lucia
Journal:  J Biomol Tech       Date:  2014-12

2.  Longitudinal monitoring of gene expression in ultra-low-volume blood samples self-collected at home.

Authors:  C Speake; E Whalen; V H Gersuk; D Chaussabel; J M Odegard; C J Greenbaum
Journal:  Clin Exp Immunol       Date:  2017-03-02       Impact factor: 4.330

3.  Association of Gluten Intake During the First 5 Years of Life With Incidence of Celiac Disease Autoimmunity and Celiac Disease Among Children at Increased Risk.

Authors:  Carin Andrén Aronsson; Hye-Seung Lee; Elin M Hård Af Segerstad; Ulla Uusitalo; Jimin Yang; Sibylle Koletzko; Edwin Liu; Kalle Kurppa; Polly J Bingley; Jorma Toppari; Anette G Ziegler; Jin-Xiong She; William A Hagopian; Marian Rewers; Beena Akolkar; Jeffrey P Krischer; Suvi M Virtanen; Jill M Norris; Daniel Agardh
Journal:  JAMA       Date:  2019-08-13       Impact factor: 56.272

Review 4.  Novel diagnostic and therapeutic approaches for autoimmune diabetes--a prime time to treat insulitis as a disease.

Authors:  Juha Grönholm; Michael J Lenardo
Journal:  Clin Immunol       Date:  2014-12-05       Impact factor: 3.969

5.  Prognostic Classification Factors Associated With Development of Multiple Autoantibodies, Dysglycemia, and Type 1 Diabetes-A Recursive Partitioning Analysis.

Authors:  Ping Xu; Jeffrey P Krischer
Journal:  Diabetes Care       Date:  2016-04-12       Impact factor: 19.112

6.  Gluten consumption during late pregnancy and risk of celiac disease in the offspring: the TEDDY birth cohort.

Authors:  Ulla Uusitalo; Hye-Seung Lee; Carin Andrén Aronsson; Jimin Yang; Suvi M Virtanen; Jill Norris; Daniel Agardh
Journal:  Am J Clin Nutr       Date:  2015-10-07       Impact factor: 7.045

7.  Clinical features of celiac disease: a prospective birth cohort.

Authors:  Daniel Agardh; Hye-Seung Lee; Kalle Kurppa; Ville Simell; Carin Andrén Aronsson; Ola Jörneus; Michael Hummel; Edwin Liu; Sibylle Koletzko
Journal:  Pediatrics       Date:  2015-03-02       Impact factor: 9.703

8.  Predictors of Progression From the Appearance of Islet Autoantibodies to Early Childhood Diabetes: The Environmental Determinants of Diabetes in the Young (TEDDY).

Authors:  Andrea K Steck; Kendra Vehik; Ezio Bonifacio; Ake Lernmark; Anette-G Ziegler; William A Hagopian; JinXiong She; Olli Simell; Beena Akolkar; Jeffrey Krischer; Desmond Schatz; Marian J Rewers
Journal:  Diabetes Care       Date:  2015-02-09       Impact factor: 17.152

9.  Age at gluten introduction and risk of celiac disease.

Authors:  Carin Andrén Aronsson; Hye-Seung Lee; Edwin Liu; Ulla Uusitalo; Sandra Hummel; Jimin Yang; Michael Hummel; Marian Rewers; Jin-Xiong She; Olli Simell; Jorma Toppari; Anette-G Ziegler; Jeffrey Krischer; Suvi M Virtanen; Jill M Norris; Daniel Agardh
Journal:  Pediatrics       Date:  2015-01-19       Impact factor: 9.703

10.  Complete blood counts with red blood cell determinants associate with reduced beta-cell function in seroconverted Swedish TEDDY children.

Authors:  Falastin Salami; Roy N Tamura; Helena Elding Larsson; Åke Lernmark; Carina Törn
Journal:  Endocrinol Diabetes Metab       Date:  2021-05-03
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