Whole transcriptional analysis identifies markers of B, T and plasma cell signaling pathways in the mesenteric adipose tissue associated with Crohn's disease
JOURNAL OF TRANSLATIONAL MEDICINE
Authors: da Silva, Francesca Aparecida Ramos; Pascoal, Livia Bitencourt; Dotti, Isabella; Setsuko Ayrizono, Maria de Lourdes; Aguilar, Daniel; Rodrigues, Bruno Lima; Arroyes, Montserrat; Ferrer-Picon, Elena; Milanski, Marciane; Velloso, Licio Augusto; Fagundes, Joao Jose; Salas, Azucena; Leal, Raquel Franco
Abstract
Background Crohn's disease (CD) is a multifactorial disease characterized by chronic intestinal inflammation. The increased visceral adiposity near the affected intestinal area, of which mesenteric adipose tissue (MAT) is the main component, is a feature of CD. Both protective and pathological roles have been attributed to this disease-associated tissue in CD. To understand the contribution of MAT to CD pathophysiology, a molecular and cellular signature of disease-associated MAT in CD patients was provided. Methods We performed an observational study with whole transcriptional analysis by RNA sequencing (RNA-seq) of MAT and ileal mucosa from CD patients with active disease and controls. qPCR and immunohistology were performed for validation analysis. Results RNA-seq identified 17 significantly regulated genes (|FC| > 1.5; FDR < 0.05) in CD-MAT compared to non-IBD controls, with a marked upregulation of plasma cell genes (i.e., IGLL5, MZB1, CD79A, POU2AF1, FCRL5, JCHAIN, DERL3, SDC1, PIM2). A less strict statistical cutoff value (|FC| > 1.5, nominal p <= 0.05) yielded a larger list of 651 genes in CD-MAT compared to controls. CD ileum showed the significant regulation compared to control ileum of 849 genes (|FC| > 1.5; FDR < 0.05) or 2654 genes (|FC| > 1.5, nominal p <= 0.05). Ingenuity Pathway Analysis revealed the significant regulation of pathways related to T- and B cell functionality in the MAT of CD patients. Despite the differences between the MAT and ileal signatures of CD patients, we identified a subset of 204 genes significantly modulated in both tissues compared to controls. This common signature included genes related to the plasma cell signature. Genes such as S100A8, S100A9 (calprotectin) and IL1B, which are associated with acute inflammatory response, were exclusively regulated in the ileal mucosa of CD disease. In contrast, some genes encoding for lymphocyte receptors such as MS4A1, CD3D and CD79A were exclusively regulated in CD-MAT, exhibiting a different pattern of immune cell activation compared to the ileal mucosa in CD patients. qPCR and immunohistology confirmed the presence of large infiltrates of CD3(+) CD20(+) lymphocytes and CD138(+) plasma cells in CD-MAT. Conclusion Our data strongly supports the role of CD-associated MAT as a site for T-, B- and plasma cell activation, and suggests that it could also act as a reservoir of memory immune responses.
Cell cycle and immune-related processes are significantly altered in chronic GVHD
BONE MARROW TRANSPLANTATION
Authors: Oh, S. J.; Cho, S. B.; Park, S-H; Piao, C. Z.; Kwon, S. M.; Kim, I.; Yoon, S. S.; Kim, B. K.; Park, E. K.; Kang, J. J.; Yang, S-J; Lee, W. J.; Yoo, C-H; Hwang, S.; Kim, S. H.; Kim, J. H.; Park, S.
Abstract
Currently, the pathogenesis of chronic GVHD is unclear. To elucidate the molecular characteristics underlying chronic GVHD, we analyzed the gene expression profiles of 21 mononuclear cell samples from allogeneic hematopoietic stem cell transplantation (HSCT) recipients. Self organizing map (SOM) clustering showed that the entire expression profiles of chronic GVHD samples were clearly different from those of the non-GVHD samples, and significance analysis of microarray (SAM) demonstrated that 120 genes, including PTDSS1, VAV1 and CD3D, were up-regulated, and 5 genes, including calnexin, were down-regulated in GVHD patients. Gene ontology annotation revealed that these genes are related to the phosphorous metabolism and lipid biosynthesis. Quantitative real time polymerase chain reaction (qRT-PCR) experiments validated the up-regulation of PTDSS1, VAV1 and CD3D in separate samples. Pathway-wise global test revealed that differential gene expression in cell cycle and T cell immune-associated pathways were significant between GVHD patients and non-GVHD patients. Seventeen classifier genes selected using a PAM (prediction analysis of microarray) algorithm showed favorable performance (prediction accuracy 0.85) for identifying patients with chronic GVHD. In conclusion, we identified differentially expressed genes and pathways in chronic GVHD patients using microarray analysis, and we also selected diagnostic genes predicting chronic GVHD status.