NDLI: Application of Isobaric Tags for Relative and Absolute Quantification (iTRAQ) Coupled with Two-Dimensional Liquid Chromatography/Tandem Mass Spectrometry in Quantitative Proteomic Analysis for Discovery of Serum Biomarkers for Idiopathic Pulmonary Fibrosis.

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Application of Isobaric Tags for Relative and Absolute Quantification (iTRAQ) Coupled with Two-Dimensional Liquid Chromatography/Tandem Mass Spectrometry in Quantitative Proteomic Analysis for Discovery of Serum Biomarkers for Idiopathic Pulmonary Fibrosis.

Content Provider	Europe PMC
Author	Zhang, Ying Xin, Qian Wu, Zhen Wang, Chaochao Wang, Yongbin Wu, Qian Niu, Rui
Copyright Year	2018
Abstract	BackgroundThe present study was performed to explore the presence of informative protein biomarkers of human serum proteome in idiopathic pulmonary fibrosis (IPF).Material/MethodsSerum samples were profiled using iTRAQ coupled with two-dimensional liquid chromatography/tandem mass spectrometry (2D-LC-MS/MS) technique, and ELISA was used to validate candidate biomarkers.ResultsA total of 394 proteins were identified and 97 proteins were associated with IPF. Four biomarker candidates generated from iTRAQ experiments – CRP, fibrinogen-α chain, haptoglobin, and kininogen-1 – were successfully verified using ELISA.ConclusionsThe present study demonstrates that levels of CRP and fibrinogen-α are higher and levels of haptoglobin and kininogen-1 are lower in patients with IPF compared to levels in healthy controls. We found they are useful candidate biomarkers for IPF.
ISSN	12341010
Journal	Medical Science Monitor : International Medical Journal of Experimental and Clinical Research
Volume Number	24
PubMed Central reference number	PMC6036962
PubMed reference number	29909421
e-ISSN	16433750
DOI	10.12659/msm.908702
Language	English
Publisher	International Scientific Literature, Inc.
Publisher Date	2018-06-17
Access Restriction	Open
Rights License	This work is licensed under Creative Common Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) © Med Sci Monit, 2018
Subject Keyword	Biological Markers Idiopathic Pulmonary Fibrosis Proteomics
Content Type	Text
Resource Type	Article
Subject	Medicine

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