期刊
DIABETOLOGIA
卷 62, 期 12, 页码 2287-2297出版社
SPRINGER
DOI: 10.1007/s00125-019-04980-0
关键词
Beta cell autoimmunity; Metabolomics; Type 1 diabetes
资金
- JDRF [4-1998-274, 4-1999-731 4-2001-435, 2-SRA-2014-159-Q-R]
- special research funds for Oulu University Hospital in Finland
- special research funds for Tampere University Hospital in Finland
- special research funds for Turku University Hospital in Finland
- Academy of Finland (Centre of Excellence inMolecular Systems Immunology and Physiology Research - SyMMyS) [250114]
Aims/hypothesis Metabolic dysregulation may precede the onset of type 1 diabetes. However, these metabolic disturbances and their specific role in disease initiation remain poorly understood. In this study, we examined whether children who progress to type 1 diabetes have a circulatory polar metabolite profile distinct from that of children who later progress to islet autoimmunity but not type 1 diabetes and a matched control group. Methods We analysed polar metabolites from 415 longitudinal plasma samples in a prospective cohort of children in three study groups: those who progressed to type 1 diabetes; those who seroconverted to one islet autoantibody but not to type 1 diabetes; and an antibody-negative control group. Metabolites were measured using two-dimensional GC high-speed time of flight MS. Results In early infancy, progression to type 1 diabetes was associated with downregulated amino acids, sugar derivatives and fatty acids, including catabolites of microbial origin, compared with the control group. Methionine remained persistently upregulated in those progressing to type 1 diabetes compared with the control group and those who seroconverted to one islet autoantibody. The appearance of islet autoantibodies was associated with decreased glutamic and aspartic acids. Conclusions/interpretation Our findings suggest that children who progress to type 1 diabetes have a unique metabolic profile, which is, however, altered with the appearance of islet autoantibodies. Our findings may assist with early prediction of the disease.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据