2007
DOI: 10.1681/asn.2006090956
|View full text |Cite
|
Sign up to set email alerts
|

Advances in Urinary Proteome Analysis and Biomarker Discovery

Abstract: Noninvasive diagnosis of kidney diseases and assessment of the prognosis are still challenges in clinical nephrology. Definition of biomarkers on the basis of proteome analysis, especially of the urine, has advanced recently and may provide new tools to solve those challenges. This article highlights the most promising technological approaches toward deciphering the human proteome and applications of the knowledge in clinical nephrology, with emphasis on the urinary proteome. The data in the current literature… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1

Citation Types

2
207
0
4

Year Published

2008
2008
2015
2015

Publication Types

Select...
5
3

Relationship

2
6

Authors

Journals

citations
Cited by 255 publications
(213 citation statements)
references
References 100 publications
(84 reference statements)
2
207
0
4
Order By: Relevance
“…Recent advances in proteomics enable screening of a vast array of proteins simultaneously, aiding assessment of their potential role in the development and progression of disease. 1 Urine is well suited for proteomic analysis to identify predictive biomarkers and to unravel the pathogenetic mechanisms of chronic renal disease. The online combination of capillary electrophoresis (CE) and electrospray mass spectrometry (MS) was developed for the rapid (approximately 45 min per sample), sensitive, and automated approach for such an analysis.…”
mentioning
confidence: 99%
See 1 more Smart Citation
“…Recent advances in proteomics enable screening of a vast array of proteins simultaneously, aiding assessment of their potential role in the development and progression of disease. 1 Urine is well suited for proteomic analysis to identify predictive biomarkers and to unravel the pathogenetic mechanisms of chronic renal disease. The online combination of capillary electrophoresis (CE) and electrospray mass spectrometry (MS) was developed for the rapid (approximately 45 min per sample), sensitive, and automated approach for such an analysis.…”
mentioning
confidence: 99%
“…We sequenced only some biomarkers, because the procedure is challenging. 1,9 The most striking observation was the decreased excretion of specific collagen fragments in patients with diabetes compared with healthy control subjects; several additional collagen fragments were less common in patients with diabetic nephropathy compared with normoalbuminuric diabetic patients. This observation sup- Distribution of potential differential-diagnostic biomarkers for diabetes in the patients with normoalbuminuria and healthy control subjects.…”
mentioning
confidence: 99%
“…Those are the main reasons why the urine is widely used for proteomic biomarkers discovery [17,23,24]. Single-protein biomarkers are not effective and suitable to reflect complex diseases, such as CKD and therefore combination and simultaneous use of multiple biomarkers should improve the diagnostic performance [4,17,25]. Combination of multiple biomarkers in high-dimensional classifiers, substantially outperform linear combination of biomarkers [26].…”
Section: Urinary Biomarkersmentioning
confidence: 99%
“…quadrupole, time-of-flight (TOF) or Fourier transform ion cyclotron resonance. We will briefly outline the advantages and shortcomings of the different technological platforms, and subsequently focus on CE-MS. For a more detailed review of the technologies, we refer to (32).…”
Section: Ms-based Proteome Analysismentioning
confidence: 99%
“…An alternative strategy is the identification of several markers, which may not be »optimal« for use alone, but work in concert, and combining them to a disease-specific pattern (32). Recently, a number of different proteomic techno logies have been introduced to establish disease-specific marker patterns for clinical diagnosis and therapeutic moni toring as an alternative to single bio marker based approaches.…”
Section: Single Versus Multi-marker Applicationsmentioning
confidence: 99%