Blood-based signatures in type 1 diabetes

被引:0
|
作者
Susanne M. Cabrera
Yi-Guang Chen
William A. Hagopian
Martin J. Hessner
机构
[1] Children’s Research Institute of Children’s Hospital of Wisconsin,The Max McGee National Research Center for Juvenile Diabetes
[2] The Medical College of Wisconsin,Section of Endocrinology, Department of Pediatrics
[3] Pacific Northwest Diabetes Research Institute,undefined
来源
Diabetologia | 2016年 / 59卷
关键词
Biomarker; Gene expression profiling; Innate immunity; Microarray; Review; Type 1 diabetes;
D O I
暂无
中图分类号
学科分类号
摘要
Type 1 diabetes mellitus is one of the most common chronic diseases in childhood. It develops through autoimmune destruction of the pancreatic beta cells and results in lifelong dependence on exogenous insulin. The pathogenesis of type 1 diabetes involves a complex interplay of genetic and environmental factors and has historically been attributed to aberrant adaptive immunity; however, there is increasing evidence for a role of innate inflammation. Over the past decade new methodologies for the analysis of nucleic acid and protein signals have been applied to type 1 diabetes. These studies are providing a new understanding of type 1 diabetes pathogenesis and have the potential to inform the development of new biomarkers for predicting diabetes onset and monitoring therapeutic interventions. In this review we will focus on blood-based signatures in type 1 diabetes, with special attention to both direct transcriptomic analyses of whole blood and immunocyte subsets, as well as plasma/serum-induced transcriptional signatures. Attention will also be given to proteomics, microRNA assays and markers of beta cell death. We will also discuss the results of blood-based profiling in type 1 diabetes within the context of the genetic and environmental factors implicated in the natural history of autoimmune diabetes.
引用
收藏
页码:414 / 425
页数:11
相关论文
共 50 条
  • [1] Blood-based signatures in type 1 diabetes
    Cabrera, Susanne M.
    Chen, Yi-Guang
    Hagopian, William A.
    Hessner, Martin J.
    [J]. DIABETOLOGIA, 2016, 59 (03) : 414 - 425
  • [2] The influence of blood sample processing on blood-based DNA methylation signatures
    Yin, Qiming
    Qiao, Rong
    Xu, Tian
    Dai, Liping
    Han, Baohui
    Gu, Wanjian
    Yang, Rongxi
    [J]. CLINICAL BIOCHEMISTRY, 2023, 115 : 116 - 125
  • [3] Improved prediction of type 2 diabetes onset from blood-based biomarkers
    不详
    [J]. NATURE AGING, 2023, 3 (04): : 378 - 379
  • [4] Improved prediction of type 2 diabetes onset from blood-based biomarkers
    [J]. Nature Aging, 2023, 3 (4): : 378 - 379
  • [5] Rank-based miRNA signatures for blood-based diagnosis of tuberculosis
    Lauria, Mario
    [J]. 2015 37TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC), 2015, : 4462 - 4465
  • [6] Blood-based DNA methylation signatures in cancer: A systematic review
    Li, Yongzheng
    Fan, Zhiyao
    Meng, Yufan
    Liu, Shujie
    Zhan, Hanxiang
    [J]. BIOCHIMICA ET BIOPHYSICA ACTA-MOLECULAR BASIS OF DISEASE, 2023, 1869 (01):
  • [7] Blood-Based Gene Expression Signatures of Infants and Toddlers With Autism
    Glatt, Stephen J.
    Tsuang, Ming T.
    Winn, Mary
    Chandler, Sharon D.
    Collins, Melanie
    Lopez, Linda
    Weinfeld, Melanie
    Carter, Cindy
    Schork, Nicholas
    Pierce, Karen
    Courchesne, Eric
    [J]. JOURNAL OF THE AMERICAN ACADEMY OF CHILD AND ADOLESCENT PSYCHIATRY, 2012, 51 (09): : 934 - 944
  • [8] Blood-Based DNA Methylation Biomarkers for Type 2 Diabetes: Potential for Clinical Applications
    Willmer, Tarryn
    Johnson, Rabia
    Louw, Johan
    Pheiffer, Carmen
    [J]. FRONTIERS IN ENDOCRINOLOGY, 2018, 9
  • [9] Blood-based microRNA signatures differentiate various forms of cardiac hypertrophy
    Derda, Anselm A.
    Thum, Sabrina
    Lorenzen, Johan M.
    Bavendiek, Udo
    Heineke, Joerg
    Keyser, Britta
    Stuhrmann, Manfred
    Givens, Raymond C.
    Kennel, Peter J.
    Schulze, P. Christian
    Widder, Julian D.
    Bauersachs, Johann
    Thum, Thomas
    [J]. INTERNATIONAL JOURNAL OF CARDIOLOGY, 2015, 196 : 115 - 122
  • [10] Blood-based gene expression signatures distinguish exercise training regimens
    Dungan, Jennifer R.
    Lucas, Joseph
    West, Michael
    Kraus, William E.
    [J]. CIRCULATION, 2008, 117 (11)