Dataset Information

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

ABSTRACT:

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.

SUBMITTER: Lin Z

PROVIDER: S-EPMC7852366 | biostudies-literature | 2021 Feb

REPOSITORIES: biostudies-literature

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Publications

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

Lin Zhongyuan Z Wang Yimin Y Lin Shiqing S Liu Decheng D Mo Guohui G Zhang Hui H Dou Yunling Y

BMC gastroenterology 20210202 1

<h4>Background</h4>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.<h4>Methods</h4>Gene expression data (GSE36701) was downloaded from Gene Expression Omnibus database. Fifty-three rectal mucosa samples from 27 irrita ...[more]

PMID: 33530940

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Dataset Information

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

Background

Methods

Results

Conclusions

Publications

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

Similar Datasets

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