Loading…
Diagnostic potential of serum protein pattern in Type 2 diabetic nephropathy
Aims Microalbuminuria is the earliest clinical sign of diabetic nephropathy (DN). However, the multifactorial nature of DN supports the application of combined markers as a diagnostic tool. Thus, another screening approach, such as protein profiling, is required for accurate diagnosis. Surface enha...
Saved in:
Published in: | Diabetic medicine 2007-12, Vol.24 (12), p.1386-1392 |
---|---|
Main Authors: | , , , , , , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Summary: | Aims Microalbuminuria is the earliest clinical sign of diabetic nephropathy (DN). However, the multifactorial nature of DN supports the application of combined markers as a diagnostic tool. Thus, another screening approach, such as protein profiling, is required for accurate diagnosis. Surface enhanced laser desorption/ionization time‐of‐flight mass spectrometry (SELDI‐TOF‐MS) is a novel method for biomarker discovery. We aimed to use SELDI and bioinformatics to define and validate a DN‐specific protein pattern in serum.
Methods SELDI was used to obtain protein or polypeptide patterns from serum samples of 65 patients with DN and 65 non‐DN subjects. From signatures of protein/polypeptide mass, a decision tree model was established for diagnosing the presence of DN. We estimated the proportion of correct classifications from the model by applying it to a masked group of 22 patients with DN and 28 non‐DN subjects. The weak cationic exchange (CM10) ProteinChip arrays were performed on a ProteinChip PBS IIC reader.
Results The intensities of 22 detected peaks appeared up‐regulated, whereas 24 peaks were down‐regulated more than twofold (P |
---|---|
ISSN: | 0742-3071 1464-5491 |
DOI: | 10.1111/j.1464-5491.2007.02312.x |