Corrigendum: Serum and Colonic Mucosal Immune Markers in Irritable Bowel Syndrome

Chang, Lin; Adeyemo, Mopelola; Karagiannidis, Iordanis; Videlock, Elizabeth J.; Bowe, Collin; Shih, Wendy; Presson, Angela P.; Yuan, Pu; Cortina, Galen; Gong, Hua; Singh, Sharat; Licudine, Arlene; Mayer, Minou; Taché, Yvette; Pothoulakis, Charalabos; Mayer, Emeran A.

doi:10.1038/ajg.2012.38

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“…So far, researches about IBS-D focused on the multiple types of immune cells that in ltrated the intestinal mucosa and released in ammatory mediators, disrupting the intestinal epithelial barrier and nervous system signaling [26]. Several studies showed that low-grade was highly associated with the pathophysiology of IBS-D [27,28]. However, the micro-level of the pathogenic mechanism of IBS-D remains doubtful because IBS-D has no structure and metabolic abnormalities accounting for its syndrome [29,30].…”

Section: Discussionmentioning

confidence: 99%

Bioinformatics Analysis of Differentially Expressed Genes Involved in Irritable Bowel Syndrome With Diarrhea

Lou¹,

Ge²,

Chen³

et al. 2021

Preprint

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Purpose: Irritable bowel syndrome with diarrhea (IBS-D) is a common functional gastrointestinal disorder around the world. However, the molecular mechanisms of IBS-D are still not well understood. This study was designed to identify key biomarkers and immune infiltration in the rectal mucosa of IBS-D by bioinformatics analysis. Methods: The gene expression profiles of GSE36701 were downloaded from the GEO database. The differentially expressed genes (DEGs) were identified and functional enrichment and pathway analyses were performed. Using STRING and Cytoscape, protein-protein interaction (PPI) networks were constructed and core genes were identified. Subsequently, 22 immune cell types of IBS-D tissues were explored by the Cell type Identification by Estimating Relative Subsets of RNA Transcripts. Finally, the co-expression network of DEGs was estimated by the weigh gene co-expression network analysis method to identify IBS-D-related modules and deeply hub genes. Results: 224 up-regulated and 171 down-regulated genes in IBS-D patients: Our analysis indicated that several DEGs might play crucial roles in IBS-D, such as CDC20, UBE2C, AURKA, CDC26, CKS1B and PSMB3. Later, we found that immune infiltrating cells such as T cells CD4 memory resting, M2 macrophages are crucial in IBS-D progression. In the end, a total of 9 co-expression gene modules were calculated and the black module was found to have the highest correlation. 15 hub genes were identified both in DEGs and the black module. Conclusions: This study identified molecular mechanisms and a series of candidate genes as well as significant pathways from the bioinformatics network, which may provide a diagnostic method and therapeutic targets for IBS-D.

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Section: Discussionmentioning

confidence: 99%