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Rheumatology Advance Access originally published online on April 23, 2009
Rheumatology 2009 48(6):626-631; doi:10.1093/rheumatology/kep058
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© The Author 2009. Published by Oxford University Press on behalf of the British Society for Rheumatology. All rights reserved. For Permissions, please email: journals.permissions@oxfordjournals.org

MALDI-TOF MS combined with magnetic beads for detecting serum protein biomarkers and establishment of boosting decision tree model for diagnosis of systemic lupus erythematosus

Zhuochun Huang1, Yunying Shi2, Bei Cai1, Lanlan Wang1, Yongkang Wu1, Binwu Ying1, Li Qin1, Chaojun Hu3 and Yongzhe Li3

1Department of Laboratory Medicine, 2Department of Nephrology, West China Hospital, Sichuan University, Chengdu and 3Department of Medicine, Rheumatology & Clinical Immunology Division, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, China.

Correspondence to: Lanlan Wang, Department of Laboratory Medicine, West China Hospital, Sichuan University, No. 37, Guo Xue Xiang, Chengdu 610041, The People's Republic of China. E-mail: wanglanlanhx{at}126.com


  Abstract

Objectives. To discover novel potential biomarkers and establish a diagnostic pattern for SLE by using proteomic technology.

Methods. Serum proteomic spectra were generated by matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS) combined with weak cationic exchange magnetic beads. A training set of spectra, derived from analysing sera from 32 patients with SLE, 43 patients with other autoimmune diseases and 43 age- and sex-matched healthy volunteers, was used to train and develop a decision tree model with a machine learning algorithm called decision boosting. A blinded testing set, including 32 patients with SLE, 42 patients with other autoimmune diseases and 40 healthy people, was used to determine the accuracy of the model.

Results. The diagnostic pattern with a panel of four potential protein biomarkers of mass-to-charge (m/z) ratio 4070.09, 7770.45, 28 045.1 and 3376.02 could accurately recognize 25 of 32 patients with SLE, 36 of 42 patients with other autoimmune diseases and 36 of 40 healthy people.

Conclusions. The preliminary data suggested a potential application of MALDI-TOF MS combined with magnetic beads as an effective technology to profile serum proteome, and with pattern analysis, a diagnostic model comprising four potential biomarkers was indicated to differentiate individuals with SLE from RA, SS, SSc and healthy controls rapidly and precisely.

KEY WORDS: Boosting decision tree model, Matrix-assisted laser desorption/ionization time-of-flight mass spectrometry, Proteomics, Systemic lupus erythematosus, Weak cationic exchange magnetic beads

Submitted 6 August 2008; revised version accepted 24 February 2009.
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