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Urinary Proteomics for Diagnosis and Monitoring of Diabetic Nephropathy.
Currie, G; Delles, C.
Afiliação
  • Currie G; Institute of Cardiovascular and Medical Sciences, University of Glasgow, 126 University Place, Glasgow, G12 8TA, UK. Gemma.Currie@glasgow.ac.uk.
  • Delles C; Institute of Cardiovascular and Medical Sciences, University of Glasgow, 126 University Place, Glasgow, G12 8TA, UK.
Curr Diab Rep ; 16(11): 104, 2016 11.
Article em En | MEDLINE | ID: mdl-27658932
ABSTRACT
The last decade has seen a surge in publications describing novel biomarkers for early detection of diabetic nephropathy (DN), but as yet none have outperformed albuminuria in well-designed prospective studies. This is partially attributable to our incomplete understanding of the many complex interrelated mechanisms underlying DN development, a heterogeneous process unlikely to be captured by a single biomarker. Proteomics offers the advantage of simultaneously analysing the entire protein content of a biological sample, and the technique has gained attention as a potential tool for a more accurate diagnosis of disease at an earlier stage as well as a means by which to unravel the pathogenesis of complex diseases such as DN using an untargeted approach. This review will discuss the potential of proteomics as both a clinical and research tool, evaluating exploratory work in animal models as well as diagnostic potential in human subjects.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Proteômica / Nefropatias Diabéticas Tipo de estudo: Diagnostic_studies / Observational_studies / Prognostic_studies / Screening_studies Limite: Animals / Humans Idioma: En Ano de publicação: 2016 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Proteômica / Nefropatias Diabéticas Tipo de estudo: Diagnostic_studies / Observational_studies / Prognostic_studies / Screening_studies Limite: Animals / Humans Idioma: En Ano de publicação: 2016 Tipo de documento: Article