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Erschienen in: Wiener klinische Wochenschrift 17-18/2015

01.09.2015 | original article

Predicting diabetic nephropathy by serum proteomic profiling in patients with type 2 diabetes

verfasst von: Yehong Yang, Shuo Zhang, Bin Lu, Wei Gong, Xuehong Dong, Xiaoyan Song, Weiwei Zhao, Jiefeng Cui, Yinkun Liu, Renming Hu

Erschienen in: Wiener klinische Wochenschrift | Ausgabe 17-18/2015

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Summary

Purpose

The purpose of this work is to examine the serum proteomic profiles associated with the subsequent development of diabetic nephropathy (DN) in patients with type 2 diabetes and to develop and validate a decision tree based on the profiles to predict the risk of DN in advance by albuminuria.

Methods

Surface-enhanced laser desorption/ionization time-of-flight mass spectrometry was used to obtain the proteomic profiles from baseline serum samples of 84 patients with type 2 diabetes with normal albuminuria, including 42 case subjects who developed DN after 4 years and 42 control subjects who remained normoalbuminuric over the same 4 years. From signatures of protein mass, a decision tree was established for predicting DN.

Results

At baseline, urinary albumin/creatinine ratio was similar between the case and control groups. The intensities of 5 peaks detected by CM10 chips appeared up-regulated, whereas 18 peaks were down-regulated more than twofold in the case group than compared with the control group in the training set. An optimum discriminatory decision tree for case subjects created with four nodes using four distinct masses was challenged with testing set. The positive predictive value was 77.8 % (7/9), and the negative predictive value was 72.7 % (8/11).

Conclusions

We developed and validated a decision tree to predict DN in patients with type 2 diabetes.
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Metadaten
Titel
Predicting diabetic nephropathy by serum proteomic profiling in patients with type 2 diabetes
verfasst von
Yehong Yang
Shuo Zhang
Bin Lu
Wei Gong
Xuehong Dong
Xiaoyan Song
Weiwei Zhao
Jiefeng Cui
Yinkun Liu
Renming Hu
Publikationsdatum
01.09.2015
Verlag
Springer Vienna
Erschienen in
Wiener klinische Wochenschrift / Ausgabe 17-18/2015
Print ISSN: 0043-5325
Elektronische ISSN: 1613-7671
DOI
https://doi.org/10.1007/s00508-014-0679-1

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