Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:dateCreated
2008-4-10
pubmed:abstractText
The main focus of urinary proteome analysis in nephrology is currently on detection and identification of polypeptides that significantly alter (in abundance, distribution, etc.) during (patho)physiological changes of the kidney structure and/or function. Capillary electrophoresis coupled online to electrospray ionization time-of-flight mass spectrometry (CE-MS) was applied to human urine to identify biomarkers for clinical diagnostics. To extract the information of the CE-MS spectra in a timely fashion, software was designed to automatically deconvolute and normalize the spectra. Furthermore, bioinformatics and statistic approaches were used to discriminate patients with different diseases and healthy individuals, respectively. Samples from patients with renal diseases display polypeptide patterns that differ significantly from those obtained from healthy individuals. Examining series of patients with the same disease allowed the establishment of polypeptide patterns typical for specific diseases. This permits the search for the disease-specific peptide markers. The combinations of several polypeptides found in urine are forming a specific pattern, which is indicative not only for the particular disease, but also for the stage of disease. These results show that proteome analysis with CE-MS of urinary polypeptides in patients with different renal diseases and urological disorders can display the current status of the kidney or the urogenital tract. This advancement offers the early diagnosis of different nephrological diseases.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:chemical
pubmed:status
MEDLINE
pubmed:issn
0302-5144
pubmed:author
pubmed:issnType
Print
pubmed:volume
160
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
107-26
pubmed:meshHeading
pubmed:year
2008
pubmed:articleTitle
Capillary electrophoresis coupled to mass spectrometry for biomarker discovery and diagnosis of kidney diseases.
pubmed:affiliation
Mosaiques Diagnostics and Therapeutics AG, Hannover, Germany.
pubmed:publicationType
Journal Article, Review