A novel 333 bp deletion of IL10RA in Chinese patients with neonatal-onset inflammatory bowel disease

Exploring the common mechanism of vascular dementia and inflammatory bowel disease: a bioinformatics-based study

Objective

Emerging evidence has shown that gut diseases can regulate the development and function of the immune, metabolic, and nervous systems through dynamic bidirectional communication on the brain-gut axis. However, the specific mechanism of intestinal diseases and vascular dementia (VD) remains unclear. We designed this study especially, to further clarify the connection between VD and inflammatory bowel disease (IBD) from bioinformatics analyses.

Methods

We downloaded Gene expression profiles for VD (GSE122063) and IBD (GSE47908, GSE179285) from the Gene Expression Omnibus (GEO) database. Then individual Gene Set Enrichment Analysis (GSEA) was used to confirm the connection between the two diseases respectively. The common differentially expressed genes (coDEGs) were identified, and the STRING database together with Cytoscape software were used to construct protein-protein interaction (PPI) network and core functional modules. We identified the hub genes by using the Cytohubba plugin. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis were applied to identify pathways of coDEGs and hub genes. Subsequently, receiver operating characteristic (ROC) analysis was used to identify the diagnostic ability of these hub genes, and a training dataset was used to verify the expression levels of the hub genes. An alternative single-sample gene set enrichment (ssGSEA) algorithm was used to analyze immune cell infiltration between coDEGs and immune cells. Finally, the correlation between hub genes and immune cells was analyzed.

Results

We screened 167 coDEGs. The main articles of coDEGs enrichment analysis focused on immune function. 8 shared hub genes were identified, including PTPRC, ITGB2, CYBB, IL1B, TLR2, CASP1, IL10RA, and BTK. The functional categories of hub genes enrichment analysis were mainly involved in the regulation of immune function and neuroinflammatory response. Compared to the healthy controls, abnormal infiltration of immune cells was found in VD and IBD. We also found the correlation between 8 shared hub genes and immune cells.

Conclusions

This study suggests that IBD may be a new risk factor for VD. The 8 hub genes may predict the IBD complicated with VD. Immune-related coDEGS may be related to their association, which requires further research to prove.

Clinical outcome of infantile-onset inflammatory bowel disease in 102 patients with interleukin-10 signalling deficiency

BACKGROUND

Infantile-onset inflammatory bowel disease can be caused by defects in interleukin-10 signalling. The natural history and clinical outcomes of allogeneic haematopoietic stem cell transplantation, medical treatment and surgery have not been thoroughly described.

AIMS

This study evaluates disease progression and clinical outcome in patients with interleukin-10 signalling deficiency.

METHODS

One hundred and nine patients with interleukin-10 signalling deficiency were retrospectively reviewed from a single tertiary centre. The Kaplan-Meier method was applied to calculate probabilities of survival and interval between transplant and stoma closure.

RESULTS

One hundred and nine patients were reviewed, and 102 patients were included in the survival analysis. One hundred and eight patients were identified with IL10RA mutations, and one patient harboured IL10RB mutation. Seventy-three patients received haematopoietic stem cell transplantation. The overall survival after transplantation was 64.2% (95% confidence interval, 52.8 to 75.6), and without transplantation, it was 47.5% (95% confidence interval, 14.8 to 80.2, P = 0.47). The median timeframe between transplant and stoma closure was 19.6 months. The probability of survival was significantly lower in patients with perforation (P < 0.001), ileus (P = 0.038) and without thalidomide treatment (P < 0.001) among patients who did not receive haematopoietic stem cell transplantation. The survival probability was not associated with timeframe between transplant and onset, graft source and genotypes.

CONCLUSIONS

The survival probability was not significantly different between patients with transplantation and the non-transplanted patients.