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Identification of potential biomarkers for abdominal pain in IBS patients by bioinformatics approach

BACKGROUND: Irritable bowel syndrome (IBS) is the most common functional gastrointestinal disease characterized by chronic abdominal discomfort and pain. The mechanisms of abdominal pain, as a relevant symptom, in IBS are still unclear. We aimed to explore the key genes and neurobiological changes s...

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Autores principales: Lin, Zhongyuan, Wang, Yimin, Lin, Shiqing, Liu, Decheng, Mo, Guohui, Zhang, Hui, Dou, Yunling
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7852366/
https://www.ncbi.nlm.nih.gov/pubmed/33530940
http://dx.doi.org/10.1186/s12876-021-01626-7
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author Lin, Zhongyuan
Wang, Yimin
Lin, Shiqing
Liu, Decheng
Mo, Guohui
Zhang, Hui
Dou, Yunling
author_facet Lin, Zhongyuan
Wang, Yimin
Lin, Shiqing
Liu, Decheng
Mo, Guohui
Zhang, Hui
Dou, Yunling
author_sort Lin, Zhongyuan
collection PubMed
description BACKGROUND: Irritable bowel syndrome (IBS) is the most common functional gastrointestinal disease characterized by chronic abdominal discomfort and pain. The mechanisms of abdominal pain, as a relevant symptom, in IBS are still unclear. We aimed to explore the key genes and neurobiological changes specially involved in abdominal pain in IBS. METHODS: Gene expression data (GSE36701) was downloaded from Gene Expression Omnibus database. Fifty-three rectal mucosa samples from 27 irritable bowel syndrome with diarrhea (IBS-D) patients and 40 samples from 21 healthy volunteers as controls were included. Differentially expressed genes (DEGs) between two groups were identified using the GEO2R online tool. Functional enrichment analysis of DEGs was performed on the DAVID database. Then a protein–protein interaction network was constructed and visualized using STRING database and Cytoscape. RESULTS: The microarray analysis demonstrated a subset of genes (CCKBR, CCL13, ACPP, BDKRB2, GRPR, SLC1A2, NPFF, P2RX4, TRPA1, CCKBR, TLX2, MRGPRX3, PAX2, CXCR1) specially involved in pain transmission. Among these genes, we identified GRPR, NPFF and TRPA1 genes as potential biomarkers for irritating abdominal pain of IBS patients. CONCLUSIONS: Overexpression of certain pain-related genes (GRPR, NPFF and TRPA1) may contribute to chronic visceral hypersensitivity, therefore be partly responsible for recurrent abdominal pain or discomfort in IBS patients. Several synapses modification and biological process of psychological distress may be risk factors of IBS.
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spelling pubmed-78523662021-02-04 Identification of potential biomarkers for abdominal pain in IBS patients by bioinformatics approach Lin, Zhongyuan Wang, Yimin Lin, Shiqing Liu, Decheng Mo, Guohui Zhang, Hui Dou, Yunling BMC Gastroenterol Research Article BACKGROUND: Irritable bowel syndrome (IBS) is the most common functional gastrointestinal disease characterized by chronic abdominal discomfort and pain. The mechanisms of abdominal pain, as a relevant symptom, in IBS are still unclear. We aimed to explore the key genes and neurobiological changes specially involved in abdominal pain in IBS. METHODS: Gene expression data (GSE36701) was downloaded from Gene Expression Omnibus database. Fifty-three rectal mucosa samples from 27 irritable bowel syndrome with diarrhea (IBS-D) patients and 40 samples from 21 healthy volunteers as controls were included. Differentially expressed genes (DEGs) between two groups were identified using the GEO2R online tool. Functional enrichment analysis of DEGs was performed on the DAVID database. Then a protein–protein interaction network was constructed and visualized using STRING database and Cytoscape. RESULTS: The microarray analysis demonstrated a subset of genes (CCKBR, CCL13, ACPP, BDKRB2, GRPR, SLC1A2, NPFF, P2RX4, TRPA1, CCKBR, TLX2, MRGPRX3, PAX2, CXCR1) specially involved in pain transmission. Among these genes, we identified GRPR, NPFF and TRPA1 genes as potential biomarkers for irritating abdominal pain of IBS patients. CONCLUSIONS: Overexpression of certain pain-related genes (GRPR, NPFF and TRPA1) may contribute to chronic visceral hypersensitivity, therefore be partly responsible for recurrent abdominal pain or discomfort in IBS patients. Several synapses modification and biological process of psychological distress may be risk factors of IBS. BioMed Central 2021-02-02 /pmc/articles/PMC7852366/ /pubmed/33530940 http://dx.doi.org/10.1186/s12876-021-01626-7 Text en © The Author(s) 2021 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research Article
Lin, Zhongyuan
Wang, Yimin
Lin, Shiqing
Liu, Decheng
Mo, Guohui
Zhang, Hui
Dou, Yunling
Identification of potential biomarkers for abdominal pain in IBS patients by bioinformatics approach
title Identification of potential biomarkers for abdominal pain in IBS patients by bioinformatics approach
title_full Identification of potential biomarkers for abdominal pain in IBS patients by bioinformatics approach
title_fullStr Identification of potential biomarkers for abdominal pain in IBS patients by bioinformatics approach
title_full_unstemmed Identification of potential biomarkers for abdominal pain in IBS patients by bioinformatics approach
title_short Identification of potential biomarkers for abdominal pain in IBS patients by bioinformatics approach
title_sort identification of potential biomarkers for abdominal pain in ibs patients by bioinformatics approach
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7852366/
https://www.ncbi.nlm.nih.gov/pubmed/33530940
http://dx.doi.org/10.1186/s12876-021-01626-7
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