caa a22 4500 606241205 CHVBK 20210128101312.0 cr unu---uuuuu 210128e20150901xx s 000 0 eng 10.1007/s00508-014-0679-1 doi (NATIONALLICENCE)springer-10.1007/s00508-014-0679-1 Predicting diabetic nephropathy by serum proteomic profiling in patients with type 2 diabetes [Elektronische Daten] [Yehong Yang, Shuo Zhang, Bin Lu, Wei Gong, Xuehong Dong, Xiaoyan Song, Weiwei Zhao, Jiefeng Cui, Yinkun Liu, Renming Hu] Vorhersage einer diabetischen Nephropathie durch Bestimmung des Proteomprofils bei Patienten mit Typ 2 Diabetes mellitus 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. Springer-Verlag Wien, 2014 Diabetic nephropathy nationallicence Proteomic profiling nationallicence Prediction nationallicence Surface-enhanced laser desorption/ionization nationallicence Decision tree nationallicence Diabetische Nephropathie nationallicence Proteom Profil Erstellung nationallicence SELDI-TOF-MS nationallicence Entscheidungsbaum nationallicence Yang Yehong Institute of Endocrinology and Diabetology, Department of Endocrinology, Huashan Hospital, Fudan University, 200040, Shanghai, P.R. China aut Zhang Shuo Institute of Endocrinology and Diabetology, Department of Endocrinology, Huashan Hospital, Fudan University, 200040, Shanghai, P.R. China aut Lu Bin Institute of Endocrinology and Diabetology, Department of Endocrinology, Huashan Hospital, Fudan University, 200040, Shanghai, P.R. China aut Gong Wei Institute of Endocrinology and Diabetology, Department of Endocrinology, Huashan Hospital, Fudan University, 200040, Shanghai, P.R. China aut Dong Xuehong Institute of Endocrinology and Diabetology, Department of Endocrinology, Huashan Hospital, Fudan University, 200040, Shanghai, P.R. China aut Song Xiaoyan Institute of Endocrinology and Diabetology, Department of Endocrinology, Huashan Hospital, Fudan University, 200040, Shanghai, P.R. China aut Zhao Weiwei Institute of Endocrinology and Diabetology, Department of Endocrinology, Huashan Hospital, Fudan University, 200040, Shanghai, P.R. China aut Cui Jiefeng Proteome research section, Liver Cancer Institute, Zhongshan Hospital, Fudan University, 136 Yi Xue Yuan Road, 200032, Shanghai, P.R. China aut Liu Yinkun Proteome research section, Liver Cancer Institute, Zhongshan Hospital, Fudan University, 136 Yi Xue Yuan Road, 200032, Shanghai, P.R. China aut Hu Renming 12 Middle Wurumuqi Road, 200040, Shanghai, P.R. China aut Wiener klinische Wochenschrift Springer Vienna 127/17-18(2015-09-01), 669-674 0043-5325 127:17-18<669 2015 127 508 https://doi.org/10.1007/s00508-014-0679-1 text/html Onlinezugriff via DOI BK010053 XK010053 XK010000 Metadata rights reserved Springer special CC-BY-NC licence nationallicence 1 research-article jats NATIONALLICENCE NATIONALLICENCE NL-springer NATIONALLICENCE 856 40 https://doi.org/10.1007/s00508-014-0679-1 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Yang Yehong Institute of Endocrinology and Diabetology, Department of Endocrinology, Huashan Hospital, Fudan University, 200040, Shanghai, P.R. China aut NATIONALLICENCE 700 1- Zhang Shuo Institute of Endocrinology and Diabetology, Department of Endocrinology, Huashan Hospital, Fudan University, 200040, Shanghai, P.R. China aut NATIONALLICENCE 700 1- Lu Bin Institute of Endocrinology and Diabetology, Department of Endocrinology, Huashan Hospital, Fudan University, 200040, Shanghai, P.R. China aut NATIONALLICENCE 700 1- Gong Wei Institute of Endocrinology and Diabetology, Department of Endocrinology, Huashan Hospital, Fudan University, 200040, Shanghai, P.R. China aut NATIONALLICENCE 700 1- Dong Xuehong Institute of Endocrinology and Diabetology, Department of Endocrinology, Huashan Hospital, Fudan University, 200040, Shanghai, P.R. China aut NATIONALLICENCE 700 1- Song Xiaoyan Institute of Endocrinology and Diabetology, Department of Endocrinology, Huashan Hospital, Fudan University, 200040, Shanghai, P.R. China aut NATIONALLICENCE 700 1- Zhao Weiwei Institute of Endocrinology and Diabetology, Department of Endocrinology, Huashan Hospital, Fudan University, 200040, Shanghai, P.R. China aut NATIONALLICENCE 700 1- Cui Jiefeng Proteome research section, Liver Cancer Institute, Zhongshan Hospital, Fudan University, 136 Yi Xue Yuan Road, 200032, Shanghai, P.R. China aut NATIONALLICENCE 700 1- Liu Yinkun Proteome research section, Liver Cancer Institute, Zhongshan Hospital, Fudan University, 136 Yi Xue Yuan Road, 200032, Shanghai, P.R. China aut NATIONALLICENCE 700 1- Hu Renming 12 Middle Wurumuqi Road, 200040, Shanghai, P.R. China aut NATIONALLICENCE 773 0- Wiener klinische Wochenschrift Springer Vienna 127/17-18(2015-09-01), 669-674 0043-5325 127:17-18<669 2015 127 508