Identification of potential plasma protein biomarkers for bipolar II disorder: a preliminary/exploratory study

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作者
Sheng-Yu Lee
Tzu-Yun Wang
Ru-Band Lu
Liang-Jen Wang
Sung-Chou Li
Chi-Ying Tu
Cheng-Ho Chang
Yung-Chih Chiang
Kuo-Wang Tsai
机构
[1] Kaohsiung Veterans General Hospital,Department of Psychiatry
[2] Kaohsiung Medical University,Department of Psychiatry, Faculty of Medicine
[3] National Cheng Kung University,Department of Psychiatry, College of Medicine, National Cheng Kung University Hospital
[4] Yanjiao Furen Hospital,Department of Child and Adolescent Psychiatry
[5] Kaohsiung Chang Gung Memorial Hospital and Chang Gung University College of Medicine,Genomics and Proteomics Core Laboratory, Department of Medical Research
[6] Kaohsiung Chang Gung Memorial Hospital and Chang Gung University College of Medicine,Department of Medical Education and Research
[7] Kaohsiung Veterans General Hospital,Department of Research, Taipei Tzu Chi Hospital
[8] The Buddhist Tzu Chi Medical Foundation,undefined
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摘要
The diagnostic peripheral biomarkers are still lacking for the bipolar II disorder (BD-II). We used isobaric tags for relative and absolute quantification technology to identify five upregulated candidate proteins [matrix metallopeptidase 9 (MMP9), phenylalanyl-tRNA synthetase subunit beta (FARSB), peroxiredoxin 2 (PRDX2), carbonic anhydrase 1 (CA-1), and proprotein convertase subtilisin/kexin type 9 (PCSK9)] for the diagnosis of BD-II. We analysed the differences in the plasma levels of these candidate proteins between BD-II patients and controls (BD-II, n = 185; Controls, n = 186) using ELISA. To establish a diagnostic model for the prediction of BD-II, the participants were divided randomly into a training group (BD-II, n = 149; Controls, n = 150) and a testing group (BD-II, n = 36; Controls, n = 36). Significant increases were found in all five protein levels between BD-II and controls in the training group. Logistic regression was analysed to form the composite probability score of the five proteins in the training group. Receiver-operating characteristic curve analysis revealed the diagnostic validity of the probability score [area under curve (AUC) = 0.89, P < 0.001]. The composite probability score of the testing group also showed good diagnostic validity (AUC = 0.86, P < 0.001). We propose that plasma levels of PRDX2, CA-1, FARSB, MMP9, and PCSK9 may be associated with BD-II as potential biomarkers.
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