Advances and challenges in biomarker development for type 1 diabetes prediction and prevention using "omic" technologies

Research output: Contribution to journalReview article

4 Citations (Scopus)

Abstract

Importance of the field: Biomarkers are essential for the identification of high-risk children as well as monitoring of prevention outcomes for type 1 diabetes (T1D). Areas covered in this review: This review discusses progress, opportunities and challenges in biomarker discovery and validation using high-throughput genomic, transcriptomic and proteomic technologies. The authors also suggest potential solutions to deal with the current challenges. What the reader will gain: Readers will gain an overview of the current status on T1D biomarkers, an integrated review of three "omic" technologies, their applications and limitations for biomarker discovery and validation, and a critical discussion of the major issues encountered in biomarker development. Take home message: Better biomarkers are still urgently needed for T1D prediction and prevention. The high-throughput omic technologies offer great opportunities but also face significant challenges that have to be solved before their potential for biomarker development is fully realized.

Original languageEnglish (US)
Pages (from-to)397-410
Number of pages14
JournalExpert Opinion on Medical Diagnostics
Volume4
Issue number5
DOIs
StatePublished - Sep 1 2010

Fingerprint

Biomarkers
Medical problems
Type 1 Diabetes Mellitus
Technology
Throughput
Proteomics
Monitoring

Keywords

  • Biomarkers
  • Prediction
  • Prevention
  • Type 1 diabetes

ASJC Scopus subject areas

  • Molecular Medicine
  • Biomedical Engineering
  • Biochemistry, medical

Cite this

@article{a4d087d6d8c543c79da42721b6f1c82e,
title = "Advances and challenges in biomarker development for type 1 diabetes prediction and prevention using {"}omic{"} technologies",
abstract = "Importance of the field: Biomarkers are essential for the identification of high-risk children as well as monitoring of prevention outcomes for type 1 diabetes (T1D). Areas covered in this review: This review discusses progress, opportunities and challenges in biomarker discovery and validation using high-throughput genomic, transcriptomic and proteomic technologies. The authors also suggest potential solutions to deal with the current challenges. What the reader will gain: Readers will gain an overview of the current status on T1D biomarkers, an integrated review of three {"}omic{"} technologies, their applications and limitations for biomarker discovery and validation, and a critical discussion of the major issues encountered in biomarker development. Take home message: Better biomarkers are still urgently needed for T1D prediction and prevention. The high-throughput omic technologies offer great opportunities but also face significant challenges that have to be solved before their potential for biomarker development is fully realized.",
keywords = "Biomarkers, Prediction, Prevention, Type 1 diabetes",
author = "Davis, {Colleen M.} and Purohit, {Sharad B} and Jin-Xiong She",
year = "2010",
month = "9",
day = "1",
doi = "10.1517/17530059.2010.508492",
language = "English (US)",
volume = "4",
pages = "397--410",
journal = "Expert Opinion on Medical Diagnostics",
issn = "1753-0059",
publisher = "Informa Healthcare",
number = "5",

}

TY - JOUR

T1 - Advances and challenges in biomarker development for type 1 diabetes prediction and prevention using "omic" technologies

AU - Davis, Colleen M.

AU - Purohit, Sharad B

AU - She, Jin-Xiong

PY - 2010/9/1

Y1 - 2010/9/1

N2 - Importance of the field: Biomarkers are essential for the identification of high-risk children as well as monitoring of prevention outcomes for type 1 diabetes (T1D). Areas covered in this review: This review discusses progress, opportunities and challenges in biomarker discovery and validation using high-throughput genomic, transcriptomic and proteomic technologies. The authors also suggest potential solutions to deal with the current challenges. What the reader will gain: Readers will gain an overview of the current status on T1D biomarkers, an integrated review of three "omic" technologies, their applications and limitations for biomarker discovery and validation, and a critical discussion of the major issues encountered in biomarker development. Take home message: Better biomarkers are still urgently needed for T1D prediction and prevention. The high-throughput omic technologies offer great opportunities but also face significant challenges that have to be solved before their potential for biomarker development is fully realized.

AB - Importance of the field: Biomarkers are essential for the identification of high-risk children as well as monitoring of prevention outcomes for type 1 diabetes (T1D). Areas covered in this review: This review discusses progress, opportunities and challenges in biomarker discovery and validation using high-throughput genomic, transcriptomic and proteomic technologies. The authors also suggest potential solutions to deal with the current challenges. What the reader will gain: Readers will gain an overview of the current status on T1D biomarkers, an integrated review of three "omic" technologies, their applications and limitations for biomarker discovery and validation, and a critical discussion of the major issues encountered in biomarker development. Take home message: Better biomarkers are still urgently needed for T1D prediction and prevention. The high-throughput omic technologies offer great opportunities but also face significant challenges that have to be solved before their potential for biomarker development is fully realized.

KW - Biomarkers

KW - Prediction

KW - Prevention

KW - Type 1 diabetes

UR - http://www.scopus.com/inward/record.url?scp=77955600908&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=77955600908&partnerID=8YFLogxK

U2 - 10.1517/17530059.2010.508492

DO - 10.1517/17530059.2010.508492

M3 - Review article

AN - SCOPUS:77955600908

VL - 4

SP - 397

EP - 410

JO - Expert Opinion on Medical Diagnostics

JF - Expert Opinion on Medical Diagnostics

SN - 1753-0059

IS - 5

ER -