Literature DB >> 30144424

Serum biomarkers for diagnosis and prediction of type 1 diabetes.

Lian Yi1, Adam C Swensen1, Wei-Jun Qian2.   

Abstract

Type 1 diabetes (T1D) culminates in the autoimmune destruction of the pancreatic βcells, leading to insufficient production of insulin and development of hyperglycemia. Serum biomarkers including a combination of glucose, glycated molecules, C-peptide, and autoantibodies have been well established for the diagnosis of T1D. However, these molecules often mark a late stage of the disease when ∼90% of the pancreatic insulin-producing β-cells have already been lost. With the prevalence of T1D increasing worldwide and because of the physical and psychological burden induced by this disease, there is a great need for prognostic biomarkers to predict T1D development or progression. This would allow us to identify individuals at high risk for early prevention and intervention. Therefore, considerable efforts have been dedicated to the understanding of disease etiology and the discovery of novel biomarkers in the last few decades. The advent of high-throughput and sensitive "-omics" technologies for the study of proteins, nucleic acids, and metabolites have allowed large scale profiling of protein expression and gene changes in T1D patients relative to disease-free controls. In this review, we briefly discuss the classical diagnostic biomarkers of T1D but mainly focus on the novel biomarkers that are identified as markers of β-cell destruction and screened with the use of state-of-the-art "-omics" technologies.
Copyright © 2018. Published by Elsevier Inc.

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Year:  2018        PMID: 30144424      PMCID: PMC6177288          DOI: 10.1016/j.trsl.2018.07.009

Source DB:  PubMed          Journal:  Transl Res        ISSN: 1878-1810            Impact factor:   7.012


  134 in total

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Authors:  Sebastian Wiese; Kai A Reidegeld; Helmut E Meyer; Bettina Warscheid
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2.  Dual and opposing roles of the unfolded protein response regulated by IRE1alpha and XBP1 in proinsulin processing and insulin secretion.

Authors:  Ann-Hwee Lee; Keely Heidtman; Gökhan S Hotamisligil; Laurie H Glimcher
Journal:  Proc Natl Acad Sci U S A       Date:  2011-05-09       Impact factor: 11.205

3.  Human plasma proteome analysis by multidimensional chromatography prefractionation and linear ion trap mass spectrometry identification.

Authors:  Wen-Hai Jin; Jie Dai; Su-Jun Li; Qi-Chang Xia; Han-Fa Zou; Rong Zeng
Journal:  J Proteome Res       Date:  2005 Mar-Apr       Impact factor: 4.466

4.  Circulating miRNA profiles in patients with metabolic syndrome.

Authors:  Dwi Setyowati Karolina; Subramaniam Tavintharan; Arunmozhiarasi Armugam; Sugunavathi Sepramaniam; Sharon Li Ting Pek; Michael T K Wong; Su Chi Lim; Chee Fang Sum; Kandiah Jeyaseelan
Journal:  J Clin Endocrinol Metab       Date:  2012-10-02       Impact factor: 5.958

5.  Identification of tissue-specific cell death using methylation patterns of circulating DNA.

Authors:  Roni Lehmann-Werman; Daniel Neiman; Hai Zemmour; Joshua Moss; Judith Magenheim; Adi Vaknin-Dembinsky; Sten Rubertsson; Bengt Nellgård; Kaj Blennow; Henrik Zetterberg; Kirsty Spalding; Michael J Haller; Clive H Wasserfall; Desmond A Schatz; Carla J Greenbaum; Craig Dorrell; Markus Grompe; Aviad Zick; Ayala Hubert; Myriam Maoz; Volker Fendrich; Detlef K Bartsch; Talia Golan; Shmuel A Ben Sasson; Gideon Zamir; Aharon Razin; Howard Cedar; A M James Shapiro; Benjamin Glaser; Ruth Shemer; Yuval Dor
Journal:  Proc Natl Acad Sci U S A       Date:  2016-03-14       Impact factor: 11.205

6.  Disproportionately elevated proinsulin levels precede the onset of insulin-dependent diabetes mellitus in siblings with low first phase insulin responses. The Childhood Diabetes in Finland Study Group.

Authors:  M E Røder; M Knip; S G Hartling; J Karjalainen; H K Akerblom; C Binder
Journal:  J Clin Endocrinol Metab       Date:  1994-12       Impact factor: 5.958

7.  β-cell mass and turnover in humans: effects of obesity and aging.

Authors:  Yoshifumi Saisho; Alexandra E Butler; Erica Manesso; David Elashoff; Robert A Rizza; Peter C Butler
Journal:  Diabetes Care       Date:  2012-08-08       Impact factor: 19.112

8.  Peripheral blood monocyte gene expression profile clinically stratifies patients with recent-onset type 1 diabetes.

Authors:  Katharine M Irvine; Patricia Gallego; Xiaoyu An; Shannon E Best; Gethin Thomas; Christine Wells; Mark Harris; Andrew Cotterill; Ranjeny Thomas
Journal:  Diabetes       Date:  2012-03-08       Impact factor: 9.461

9.  Children with islet autoimmunity and enterovirus infection demonstrate a distinct cytokine profile.

Authors:  Wing-Chi G Yeung; Ammira Al-Shabeeb; Chi Nam Ignatius Pang; Marc R Wilkins; Jacki Catteau; Neville J Howard; William D Rawlinson; Maria E Craig
Journal:  Diabetes       Date:  2012-04-03       Impact factor: 9.461

10.  Recognition of posttranslationally modified GAD65 epitopes in subjects with type 1 diabetes.

Authors:  John W McGinty; I-Ting Chow; Carla Greenbaum; Jared Odegard; William W Kwok; Eddie A James
Journal:  Diabetes       Date:  2014-04-04       Impact factor: 9.461

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  10 in total

1.  The role of proteomics in assessing beta-cell dysfunction and death in type 1 diabetes.

Authors:  Ernesto S Nakayasu; Wei-Jun Qian; Carmella Evans-Molina; Raghavendra G Mirmira; Decio L Eizirik; Thomas O Metz
Journal:  Expert Rev Proteomics       Date:  2019-06-24       Impact factor: 3.940

Review 2.  Posttranslational modifications in diabetes: Mechanisms and functions.

Authors:  Bin Chen; Jianing Zhong; Ang Hu; Haohong Zou
Journal:  Rev Endocr Metab Disord       Date:  2022-06-13       Impact factor: 9.306

Review 3.  A Contemporary Insight of Metabolomics Approach for Type 1 Diabetes: Potential for Novel Diagnostic Targets.

Authors:  Jiatong Chai; Zeyu Sun; Jiancheng Xu
Journal:  Diabetes Metab Syndr Obes       Date:  2022-05-25       Impact factor: 3.249

Review 4.  Tutorial: best practices and considerations for mass-spectrometry-based protein biomarker discovery and validation.

Authors:  Ernesto S Nakayasu; Marina Gritsenko; Paul D Piehowski; Yuqian Gao; Daniel J Orton; Athena A Schepmoes; Thomas L Fillmore; Brigitte I Frohnert; Marian Rewers; Jeffrey P Krischer; Charles Ansong; Astrid M Suchy-Dicey; Carmella Evans-Molina; Wei-Jun Qian; Bobbie-Jo M Webb-Robertson; Thomas O Metz
Journal:  Nat Protoc       Date:  2021-07-09       Impact factor: 17.021

5.  Fetal malnutrition-induced catch up failure is caused by elevated levels of miR-322 in rats.

Authors:  Takahiro Nemoto; Yoshihiko Kakinuma
Journal:  Sci Rep       Date:  2020-01-28       Impact factor: 4.379

Review 6.  Emerging Roles of Exosomes in T1DM.

Authors:  Haipeng Pang; Shuoming Luo; Yang Xiao; Ying Xia; Xia Li; Gan Huang; Zhiguo Xie; Zhiguang Zhou
Journal:  Front Immunol       Date:  2020-11-26       Impact factor: 7.561

Review 7.  Recent developments of neuroprotective agents for degenerative retinal disorders.

Authors:  Kepeng Ou; Youjian Li; Ling Liu; Hua Li; Katherine Cox; Jiahui Wu; Jian Liu; Andrew D Dick
Journal:  Neural Regen Res       Date:  2022-09       Impact factor: 5.135

Review 8.  Preclinical Models to Evaluate the Human Response to Autoantigen and Antigen-Specific Immunotherapy in Human Type 1 Diabetes.

Authors:  Pamela Houeiss; Christian Boitard; Sandrine Luce
Journal:  Front Endocrinol (Lausanne)       Date:  2022-04-13       Impact factor: 6.055

Review 9.  Long Noncoding RNAs and Circular RNAs in Autoimmune Diseases.

Authors:  Valeria Lodde; Giampaolo Murgia; Elena Rita Simula; Maristella Steri; Matteo Floris; Maria Laura Idda
Journal:  Biomolecules       Date:  2020-07-14

Review 10.  Extracellular Vesicles in Type 1 Diabetes: A Versatile Tool.

Authors:  Caitlin N Suire; Mangesh D Hade
Journal:  Bioengineering (Basel)       Date:  2022-03-04
  10 in total

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