Established and emerging biomarkers for the prediction of type 1 diabetes: A systematic review

Research output: Contribution to journalArticle

35 Citations (Scopus)

Abstract

Type 1 diabetes (T1D) is an autoimmune disease with a prolonged and variable latent period that culminates in the destruction of pancreatic β-cells and the development of hyperglycemia. There is a need for diagnostic biomarkers to detect more accurately individuals with prediabetes to expedite targeting for prevention and intervention strategies. To assess the current ability to predict the insidious development of T1D, we conducted a comprehensive systematic review for established and prospective predictive markers of T1D using the Medline, OVID, and EMBASE databases. Resulting citations were screened for relevance to subject. Our research generated five major categories of markers that are either currently used or forthcoming: genetic, autoantibody, risk score quantification, cellular immunity, and β-cell function. The current standard used to assess T1D onset or predisposition focuses on autoimmune pathology and disease-associated autoantibodies. Research studies in general go beyond autoantibody screening and assess genetic predisposition, and quantitate risk of developing disease based on additional factors. However, there are few currently used techniques that assess the root of T1D: β-cell destruction. Thus, novel techniques are discussed with the potential to gauge degrees of β-cell stress and failure via protein, RNA, and DNA analyses.

Original languageEnglish
Pages (from-to)110-121
Number of pages12
JournalTranslational Research
Volume164
Issue number2
DOIs
StatePublished - 2014

Fingerprint

Biomarkers
Medical problems
Type 1 Diabetes Mellitus
Autoantibodies
Autoimmune Diseases
Prediabetic State
Pathology
Genetic Predisposition to Disease
Research
Cellular Immunity
Hyperglycemia
Gages
Screening
Databases
RNA
DNA
Proteins

Keywords

  • Ab
  • Abbreviations
  • antibody
  • BMI
  • body mass index
  • chemokine ligand 1
  • CXCL1
  • Diabetes Prevention Trial 1
  • DPT-1
  • DPT-1 risk score
  • DPTRS
  • endoplasmic reticulum
  • ER
  • GAD
  • glutamic acid decarboxylase
  • HLA
  • human leukocyte antigen
  • IA2
  • IAA
  • ICA
  • Ig
  • immunoglobulin
  • insulin autoantibody
  • insulinoma antigen 2
  • islet cell autoantibody
  • micro-RNA
  • miRNA
  • NOD
  • nonobese diabetic
  • PI:C
  • proinsulin-to-C- peptide ratio
  • single nucleotide polymorphism
  • SNP
  • T1D
  • T2D
  • type 1 diabetes
  • type 2 diabetes
  • zinc transporter 8
  • ZnT8

ASJC Scopus subject areas

  • Medicine(all)
  • Biochemistry, medical
  • Public Health, Environmental and Occupational Health

Cite this

Established and emerging biomarkers for the prediction of type 1 diabetes : A systematic review. / Watkins, Renecia A.; Evans-Molina, Carmella; Blum, Janice; DiMeglio, Linda.

In: Translational Research, Vol. 164, No. 2, 2014, p. 110-121.

Research output: Contribution to journalArticle

@article{f77e210e4ee642e9b4f4f9b1f2d6896f,
title = "Established and emerging biomarkers for the prediction of type 1 diabetes: A systematic review",
abstract = "Type 1 diabetes (T1D) is an autoimmune disease with a prolonged and variable latent period that culminates in the destruction of pancreatic β-cells and the development of hyperglycemia. There is a need for diagnostic biomarkers to detect more accurately individuals with prediabetes to expedite targeting for prevention and intervention strategies. To assess the current ability to predict the insidious development of T1D, we conducted a comprehensive systematic review for established and prospective predictive markers of T1D using the Medline, OVID, and EMBASE databases. Resulting citations were screened for relevance to subject. Our research generated five major categories of markers that are either currently used or forthcoming: genetic, autoantibody, risk score quantification, cellular immunity, and β-cell function. The current standard used to assess T1D onset or predisposition focuses on autoimmune pathology and disease-associated autoantibodies. Research studies in general go beyond autoantibody screening and assess genetic predisposition, and quantitate risk of developing disease based on additional factors. However, there are few currently used techniques that assess the root of T1D: β-cell destruction. Thus, novel techniques are discussed with the potential to gauge degrees of β-cell stress and failure via protein, RNA, and DNA analyses.",
keywords = "Ab, Abbreviations, antibody, BMI, body mass index, chemokine ligand 1, CXCL1, Diabetes Prevention Trial 1, DPT-1, DPT-1 risk score, DPTRS, endoplasmic reticulum, ER, GAD, glutamic acid decarboxylase, HLA, human leukocyte antigen, IA2, IAA, ICA, Ig, immunoglobulin, insulin autoantibody, insulinoma antigen 2, islet cell autoantibody, micro-RNA, miRNA, NOD, nonobese diabetic, PI:C, proinsulin-to-C- peptide ratio, single nucleotide polymorphism, SNP, T1D, T2D, type 1 diabetes, type 2 diabetes, zinc transporter 8, ZnT8",
author = "Watkins, {Renecia A.} and Carmella Evans-Molina and Janice Blum and Linda DiMeglio",
year = "2014",
doi = "10.1016/j.trsl.2014.02.004",
language = "English",
volume = "164",
pages = "110--121",
journal = "Translational Research",
issn = "1931-5244",
publisher = "Mosby Inc.",
number = "2",

}

TY - JOUR

T1 - Established and emerging biomarkers for the prediction of type 1 diabetes

T2 - A systematic review

AU - Watkins, Renecia A.

AU - Evans-Molina, Carmella

AU - Blum, Janice

AU - DiMeglio, Linda

PY - 2014

Y1 - 2014

N2 - Type 1 diabetes (T1D) is an autoimmune disease with a prolonged and variable latent period that culminates in the destruction of pancreatic β-cells and the development of hyperglycemia. There is a need for diagnostic biomarkers to detect more accurately individuals with prediabetes to expedite targeting for prevention and intervention strategies. To assess the current ability to predict the insidious development of T1D, we conducted a comprehensive systematic review for established and prospective predictive markers of T1D using the Medline, OVID, and EMBASE databases. Resulting citations were screened for relevance to subject. Our research generated five major categories of markers that are either currently used or forthcoming: genetic, autoantibody, risk score quantification, cellular immunity, and β-cell function. The current standard used to assess T1D onset or predisposition focuses on autoimmune pathology and disease-associated autoantibodies. Research studies in general go beyond autoantibody screening and assess genetic predisposition, and quantitate risk of developing disease based on additional factors. However, there are few currently used techniques that assess the root of T1D: β-cell destruction. Thus, novel techniques are discussed with the potential to gauge degrees of β-cell stress and failure via protein, RNA, and DNA analyses.

AB - Type 1 diabetes (T1D) is an autoimmune disease with a prolonged and variable latent period that culminates in the destruction of pancreatic β-cells and the development of hyperglycemia. There is a need for diagnostic biomarkers to detect more accurately individuals with prediabetes to expedite targeting for prevention and intervention strategies. To assess the current ability to predict the insidious development of T1D, we conducted a comprehensive systematic review for established and prospective predictive markers of T1D using the Medline, OVID, and EMBASE databases. Resulting citations were screened for relevance to subject. Our research generated five major categories of markers that are either currently used or forthcoming: genetic, autoantibody, risk score quantification, cellular immunity, and β-cell function. The current standard used to assess T1D onset or predisposition focuses on autoimmune pathology and disease-associated autoantibodies. Research studies in general go beyond autoantibody screening and assess genetic predisposition, and quantitate risk of developing disease based on additional factors. However, there are few currently used techniques that assess the root of T1D: β-cell destruction. Thus, novel techniques are discussed with the potential to gauge degrees of β-cell stress and failure via protein, RNA, and DNA analyses.

KW - Ab

KW - Abbreviations

KW - antibody

KW - BMI

KW - body mass index

KW - chemokine ligand 1

KW - CXCL1

KW - Diabetes Prevention Trial 1

KW - DPT-1

KW - DPT-1 risk score

KW - DPTRS

KW - endoplasmic reticulum

KW - ER

KW - GAD

KW - glutamic acid decarboxylase

KW - HLA

KW - human leukocyte antigen

KW - IA2

KW - IAA

KW - ICA

KW - Ig

KW - immunoglobulin

KW - insulin autoantibody

KW - insulinoma antigen 2

KW - islet cell autoantibody

KW - micro-RNA

KW - miRNA

KW - NOD

KW - nonobese diabetic

KW - PI:C

KW - proinsulin-to-C- peptide ratio

KW - single nucleotide polymorphism

KW - SNP

KW - T1D

KW - T2D

KW - type 1 diabetes

KW - type 2 diabetes

KW - zinc transporter 8

KW - ZnT8

UR - http://www.scopus.com/inward/record.url?scp=84904806481&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84904806481&partnerID=8YFLogxK

U2 - 10.1016/j.trsl.2014.02.004

DO - 10.1016/j.trsl.2014.02.004

M3 - Article

C2 - 24662515

AN - SCOPUS:84904806481

VL - 164

SP - 110

EP - 121

JO - Translational Research

JF - Translational Research

SN - 1931-5244

IS - 2

ER -