Literature DB >> 28757466

Identification of serum proteome signature of irritable bowel syndrome: Potential utility of the tool for early diagnosis and patient's stratification.

Athanasios Tsigaridas1, Athanassios K Anagnostopoulos2, Aggeliki Papadopoulou2, Stamatia Ioakeim3, Anna Vaiopoulou3, Ioannis S Papanikolaou4, Nikos Viazis1, George Karamanolis5, Gerasimos J Mantzaris1, George T Tsangaris2, Maria Gazouli6.   

Abstract

Irritable bowel syndrome (IBS) is a chronic gastrointestinal disorder with high incidence, and great heterogeneity of symptoms. Numerous factors are correlated with IBS development; however, the pathophysiology is not yet clear. In addition, there is no appropriate diagnostic tool available. The aim of this study was the identification of protein expression alterations in IBS patients compared to healthy individuals. Serum samples from 30 IBS patients (10 with IBS-Diarrhea, 10 IBS-Constipation and 10 IBS-Mixed) and 10 healthy individuals were subjected to proteomic analysis by 2-dimensional gel electrophoresis. Following evaluation of densitometrical data, protein spots exhibiting differential expression among the groups, were further characterized by matrix-assisted laser desorption tandem time-of-flight mass spectrometer and the results were confirmed by Western blot analysis. Eight significantly different expressed proteins were identified. Seven of them were overexpressed in IBS cases and only one was overexpressed in healthy individuals. These proteins were also differently expressed between the three IBS subgroups. IBS-D group overexpressed immunoglobulin light chain Lambda (LAC3) and apolipoprotein E (APOE), IBS-C group overexpressed apolipoprotein H (APOH) and collagen alpha-1 (XIV) chain (COEA1), and IBS-M group and healthy individuals overexpressed retinol-binding protein 4 (RET4). Our results show a different serum protein profile of IBS patients compared to healthy controls. Understanding the role of these eight proteins which are differently expressed in IBS patients, may contribute to a better clarification of IBS pathogenesis and to patient's stratification. SIGNIFICANCE: Irritable bowel syndrome (IBS) is a chronic gastrointestinal disorder with high incidence and great heterogeneity of symptoms without any appropriate diagnostic tool available. Eight significantly different expressed proteins were identified. Seven of them were overexpressed in IBS cases and only one was expressed in healthy individuals. These proteins were also differently expressed between the three IBS subgroups. Our results show that there is a different serum proteome signature in IBS compared to healthy individuals, as well as in IBS subgroups that could be used in the future for patient's stratification and as a diagnostic tool.
Copyright © 2017 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Biomarkers; IBS-Constipation; IBS-Diarrhea; IBS-Mixed; Irritable bowel syndrome; Patient stratification; Proteomics

Mesh:

Substances:

Year:  2017        PMID: 28757466     DOI: 10.1016/j.jprot.2017.07.019

Source DB:  PubMed          Journal:  J Proteomics        ISSN: 1874-3919            Impact factor:   4.044


  4 in total

1.  Mass spectrometry-based metabolomics for irritable bowel syndrome biomarkers.

Authors:  Qihong Yu; Xinru Liu; Haojie Huang; Xingfeng Zheng; Xue Pan; Junwei Fang; Liyuan Meng; Chunhua Zhou; Xiaocui Zhang; Zhaoshen Li; Duowu Zou
Journal:  Therap Adv Gastroenterol       Date:  2019-11-07       Impact factor: 4.409

2.  Proteomic analysis of rat colonic mucosa following acupuncture treatment for irritable bowel syndrome with diarrhea.

Authors:  Jing Liu; Rui Peng; Qian Tan; Bocun Li; Jianyi Chen; Guangya Liu; Yawen Wang; Chao Li; Jia Li; Hua Wang
Journal:  PLoS One       Date:  2022-09-12       Impact factor: 3.752

3.  Multiple rather than specific autoantibodies were identified in irritable bowel syndrome with HuProt™ proteome microarray.

Authors:  Wenjuan Fan; Xiucai Fang; Chaojun Hu; Guijun Fei; Qiyun Xiao; Yongzhe Li; Xiaoqing Li; Jackie D Wood; Xuan Zhang
Journal:  Front Physiol       Date:  2022-10-03       Impact factor: 4.755

4.  Analysis of Key Genes for Slow Transit Constipation Based on RNA Sequencing.

Authors:  Linfeng Yu; Xiuding Yang; Wenlong Guan; Dongxu Zhang; Shuo Ren; Yanwei Xing; Da An; Jian Zhang; Yuekun Zhu; Anlong Zhu
Journal:  Int J Gen Med       Date:  2022-09-28
  4 in total

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