Literature DB >> 27778250

Metabolomic Biomarkers in the Progression to Type 1 Diabetes.

Anne Julie Overgaard1, Simranjeet Kaur2, Flemming Pociot2,3.   

Abstract

Metabolomics is the snapshot of all detectable metabolites and lipids in biological materials and has potential in reflecting genetic and environmental factors contributing to the development of complex diseases, such as type 1 diabetes. The progression to seroconversion to development of type 1 diabetes has been studied using this technique, although in relatively small cohorts and at limited time points. Overall, three observations have been consistently reported; phospholipids at birth are lower in children developing type 1 diabetes early in childhood, methionine levels are lower in children at seroconversion, and triglycerides are increased at seroconversion and associated to microbiome diversity, indicating an association between the metabolome and microbiome in type 1 diabetes progression.

Entities:  

Keywords:  Autoimmunity; Lipids; Metabolites; Metabolomics; Type 1 diabetes

Mesh:

Substances:

Year:  2016        PMID: 27778250     DOI: 10.1007/s11892-016-0820-9

Source DB:  PubMed          Journal:  Curr Diab Rep        ISSN: 1534-4827            Impact factor:   4.810


  32 in total

1.  The 6 year incidence of diabetes-associated autoantibodies in genetically at-risk children: the TEDDY study.

Authors:  Jeffrey P Krischer; Kristian F Lynch; Desmond A Schatz; Jorma Ilonen; Åke Lernmark; William A Hagopian; Marian J Rewers; Jin-Xiong She; Olli G Simell; Jorma Toppari; Anette-G Ziegler; Beena Akolkar; Ezio Bonifacio
Journal:  Diabetologia       Date:  2015-02-10       Impact factor: 10.122

2.  Screening for genetic IDDM risk and prevention trials in infancy.

Authors:  J Ilonen; O Simell; M Knip; H K Akerblom
Journal:  Diabetes Metab Rev       Date:  1998-06

Review 3.  Systems biology of asthma and allergic diseases: a multiscale approach.

Authors:  Supinda Bunyavanich; Eric E Schadt
Journal:  J Allergy Clin Immunol       Date:  2014-11-21       Impact factor: 10.793

4.  Prospective assessment in newborns of diabetes autoimmunity (PANDA): maternal understanding of infant diabetes risk.

Authors:  Stacy K Carmichael; Suzanne Bennett Johnson; Amy Baughcum; Kerri North; Diane Hopkins; Margaret G Dukes; Jin-Xiong She; Desmond A Schatz
Journal:  Genet Med       Date:  2003 Mar-Apr       Impact factor: 8.822

5.  Newborn screening for HLA markers associated with IDDM: diabetes autoimmunity study in the young (DAISY).

Authors:  M Rewers; T L Bugawan; J M Norris; A Blair; B Beaty; M Hoffman; R S McDuffie; R F Hamman; G Klingensmith; G S Eisenbarth; H A Erlich
Journal:  Diabetologia       Date:  1996-07       Impact factor: 10.122

Review 6.  The genetics and epigenetics of autoimmune diseases.

Authors:  Anura Hewagama; Bruce Richardson
Journal:  J Autoimmun       Date:  2009-04-05       Impact factor: 7.094

Review 7.  Year in diabetes 2012: The diabetes tsunami.

Authors:  R Sherwin; A M Jastreboff
Journal:  J Clin Endocrinol Metab       Date:  2012-11-26       Impact factor: 5.958

8.  Seroconversion to multiple islet autoantibodies and risk of progression to diabetes in children.

Authors:  Anette G Ziegler; Marian Rewers; Olli Simell; Tuula Simell; Johanna Lempainen; Andrea Steck; Christiane Winkler; Jorma Ilonen; Riitta Veijola; Mikael Knip; Ezio Bonifacio; George S Eisenbarth
Journal:  JAMA       Date:  2013-06-19       Impact factor: 56.272

9.  Lipidomic and metabolomic characterization of a genetically modified mouse model of the early stages of human type 1 diabetes pathogenesis.

Authors:  Anne Julie Overgaard; Jacquelyn M Weir; David Peter De Souza; Dedreia Tull; Claus Haase; Peter J Meikle; Flemming Pociot
Journal:  Metabolomics       Date:  2015-11-17       Impact factor: 4.290

10.  Cord serum lipidome in prediction of islet autoimmunity and type 1 diabetes.

Authors:  Matej Oresic; Peddinti Gopalacharyulu; Juha Mykkänen; Niina Lietzen; Marjaana Mäkinen; Heli Nygren; Satu Simell; Ville Simell; Heikki Hyöty; Riitta Veijola; Jorma Ilonen; Marko Sysi-Aho; Mikael Knip; Tuulia Hyötyläinen; Olli Simell
Journal:  Diabetes       Date:  2013-04-29       Impact factor: 9.461

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  5 in total

1.  Untargeted metabolomic analysis in non-fasted diabetic dogs by UHPLC-HRMS.

Authors:  A L O'Kell; T J Garrett; C Wasserfall; M A Atkinson
Journal:  Metabolomics       Date:  2019-01-22       Impact factor: 4.290

2.  Determinants of the urinary and serum metabolome in children from six European populations.

Authors:  Chung-Ho E Lau; Alexandros P Siskos; Léa Maitre; Oliver Robinson; Toby J Athersuch; Elizabeth J Want; Jose Urquiza; Maribel Casas; Marina Vafeiadi; Theano Roumeliotaki; Rosemary R C McEachan; Rafaq Azad; Line S Haug; Helle M Meltzer; Sandra Andrusaityte; Inga Petraviciene; Regina Grazuleviciene; Cathrine Thomsen; John Wright; Remy Slama; Leda Chatzi; Martine Vrijheid; Hector C Keun; Muireann Coen
Journal:  BMC Med       Date:  2018-11-08       Impact factor: 8.775

3.  Feasibility of Localized Metabolomics in the Study of Pancreatic Islets and Diabetes.

Authors:  Oscar Alcazar; Luis F Hernandez; Ashley Tschiggfrie; Michael J Muehlbauer; James R Bain; Peter Buchwald; Midhat H Abdulreda
Journal:  Metabolites       Date:  2019-09-29

Review 4.  Metabolic Signatures of the Exposome-Quantifying the Impact of Exposure to Environmental Chemicals on Human Health.

Authors:  Matej Orešič; Aidan McGlinchey; Craig E Wheelock; Tuulia Hyötyläinen
Journal:  Metabolites       Date:  2020-11-10

5.  Longitudinal Metabolome-Wide Signals Prior to the Appearance of a First Islet Autoantibody in Children Participating in the TEDDY Study.

Authors:  Qian Li; Hemang Parikh; Martha D Butterworth; Åke Lernmark; William Hagopian; Marian Rewers; Jin-Xiong She; Jorma Toppari; Anette-G Ziegler; Beena Akolkar; Oliver Fiehn; Sili Fan; Jeffrey P Krischer
Journal:  Diabetes       Date:  2020-02-06       Impact factor: 9.337

  5 in total

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