Literature DB >> 24706280

Screening for novel serum biomarker for monitoring disease activity in rheumatoid arthritis using iTRAQ technology-based quantitative proteomic approach.

Satoshi Serada1, Tetsuji Naka.   

Abstract

Useful biomarkers, which enable the prediction of drug susceptibility, identification of side effects, and/or evaluation of disease activity during drug treatment, are urgently needed to select adequate drugs for patients. Gene mutation status, protein expression levels in a biopsy, and serum proteins are often used as biomarkers. One of the methods to screen for protein biomarkers involves quantitative proteomic approaches using mass spectrometry. Owing to the development of quantitative proteomic approaches, the efficiency of identifying novel biomarkers from clinical samples has improved. In particular, isobaric tag for relative and absolute quantitation technology, which enables relative comparative analysis of up to eight samples, enables high-throughput analysis of screening for biomarkers at the protein level. Here, we describe the identification of a novel biomarker, which is useful for the evaluation of disease activity in patients with rheumatoid arthritis who were treated with anti-TNF-α therapy.

Entities:  

Mesh:

Substances:

Year:  2014        PMID: 24706280     DOI: 10.1007/978-1-4939-0404-4_12

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  6 in total

1.  iTRAQ-based quantitative proteomic analysis of differentially expressed proteins in chemoresistant nasopharyngeal carcinoma.

Authors:  Kun Wang; Zhen Chen; Lu Long; Ya Tao; Qiong Wu; Manlin Xiang; Yunlai Liang; Xulin Xie; Yuan Jiang; Zhiqiang Xiao; Yahui Yan; Shiyang Qiu; Bin Yi
Journal:  Cancer Biol Ther       Date:  2018-08-01       Impact factor: 4.742

2.  Higher Serum Angiotensinogen Is an Indicator of IgA Vasculitis with Nephritis Revealed by Comparative Proteomes Analysis.

Authors:  Xuelian He; Wei Yin; Yan Ding; Shu-jian Cui; Jiangwei Luan; Peiwei Zhao; Xin Yue; Chunhua Yu; Xiaohui Laing; YuLan Zhao
Journal:  PLoS One       Date:  2015-06-22       Impact factor: 3.240

3.  Pretreatment Prediction of Individual Rheumatoid Arthritis Patients' Response to Anti-Cytokine Therapy Using Serum Cytokine/Chemokine/Soluble Receptor Biomarkers.

Authors:  Kazuko Uno; Kazuyuki Yoshizaki; Mitsuhiro Iwahashi; Jiro Yamana; Seizo Yamana; Miki Tanigawa; Katsumi Yagi
Journal:  PLoS One       Date:  2015-07-15       Impact factor: 3.240

4.  A multivariate predictive modeling approach reveals a novel CSF peptide signature for both Alzheimer's Disease state classification and for predicting future disease progression.

Authors:  Daniel A Llano; Saurabh Bundela; Raksha A Mudar; Viswanath Devanarayan
Journal:  PLoS One       Date:  2017-08-03       Impact factor: 3.240

5.  Expression of C1q in the serum of patients with non‑severe aplastic anemia, and its association with disease severity.

Authors:  Shaoxue Ding; Chunyan Liu; Yang Li; Hui Liu; Zhaoyun Liu; Tong Chen; Tian Zhang; Zonghong Shao; Rong Fu
Journal:  Mol Med Rep       Date:  2018-12-12       Impact factor: 2.952

6.  Proteomic profiling for plasma biomarkers of tuberculosis progression.

Authors:  Qiuyue Liu; Liping Pan; Fen Han; Baojian Luo; Hongyan Jia; Aiying Xing; Qi Li; Zongde Zhang
Journal:  Mol Med Rep       Date:  2018-06-05       Impact factor: 2.952

  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.