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Proteomics for prediction of disease progression and response to therapy in diabetic kidney disease.

Abstract：

:The past decade has resulted in multiple new findings of potential proteomic biomarkers of diabetic kidney disease (DKD). Many of these biomarkers reflect an important role in the (patho)physiology and biological processes of DKD. Situations in which proteomics could be applied in clinical practice include the identification of individuals at risk of progressive kidney disease and those who would respond well to treatment, in order to tailor therapy for those at highest risk. However, while many proteomic biomarkers have been discovered, and even found to be predictive, most lack rigorous external validation in sufficiently powered studies with renal endpoints. Moreover, studies assessing short-term changes in the proteome for therapy-monitoring purposes are lacking. Collaborations between academia and industry and enhanced interactions with regulatory agencies are needed to design new, sufficiently powered studies to implement proteomics in clinical practice.

journal_name

Diabetologia

journal_title

Diabetologia

authors

Pena MJ,Mischak H,Heerspink HJ

doi

10.1007/s00125-016-4001-9

subject

Has Abstract

pub_date

2016-09-01 00:00:00

pages

1819-31

issue

9

eissn

0012-186X

issn

1432-0428

pii

10.1007/s00125-016-4001-9

journal_volume

59

pub_type

杂志文章,评审

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