Transcriptomic analyses of treatment-naïve pediatric ulcerative colitis patients and exploration of underlying disease pathogenesis.

BACKGROUND: Ulcerative colitis (UC) is a form of chronic inflammatory bowel disease of nonspecific origin. This study used an RNA-Sequencing (RNA-Seq) approach to evaluate the transcriptomic landscape of a well-stratified treatment-naïve pediatric UC patient population by comparing them with healthy control children. The data were analyzed to evaluate the mechanisms driving UC-related intestinal inflammation and fibrosis. METHODS: Intestinal mucosal samples from five pediatric UC patients and five healthy controls were analyzed by RNA-Seq, and results were verified by qPCR. A CRISPR/Cas9 approach was used to knock out the expression of HLA-DRB5, and molecular biology techniques were used for additional mechanistic studies. RESULTS: In these analyses, 2290 genes were found to be differentially expressed between the UC and control samples, of which 1258 and 1032 were upregulated and downregulated, respectively. Gene Ontology analysis showed that these genes were enriched in extracellular matrix (ECM)-related processes and that 7 of 8 differentially expressed genes of interest (PIK3CD, IL1ß, IL1α, TIMP1, MMP1, MMP12, COL6A3, and HLADRB5) were upregulated and involved in ECM-receptor interaction and inflammatory bowel disease-related pathways. Increased HLA-DRB5 expression driven by intestinal bacteria was found to promote IL-1α secretion, leading to intestinal inflammation and fibrosis, suggesting a possible target for the treatment of UC. CONCLUSION: These data suggest that intestinal inflammation is present in pediatric UC patients for extended periods before the onset of symptoms, and intestinal fibrosis begins even during the early stages of UC. Intestinal bacteria were also found to trigger intestinal inflammation and fibrosis, with HLA-DRB5 playing a central role in this process.

Increased HLA-DR expression and cortical demyelination in MS links with HLA-DR15.

OBJECTIVE: To investigate molecular changes in multiple sclerosis (MS) normal-appearing cortical gray matter (NAGM). METHODS: We performed a whole-genome gene expression microarray analysis of human brain autopsy tissues from 64 MS NAGM samples and 42 control gray matter samples. We further examined our cases by HLA genotyping and performed immunohistochemical and immunofluorescent analysis of all human brain tissues. RESULTS: HLA-DRB1 is the transcript with highest expression in MS NAGM with a bimodal distribution among the examined cases. Genotyping revealed that every case with the MS-associated HLA-DR15 haplotype also shows high HLA-DRB1 expression and also of the tightly linked HLA-DRB5 allele. Quantitative immunohistochemical analysis confirmed the higher expression of HLA-DRB1 in HLA-DRB1*15:01 cases at the protein level. Analysis of gray matter lesion size revealed a significant increase of cortical lesion size in cases with high HLA-DRB1 expression. CONCLUSIONS: Our data indicate that increased HLA-DRB1 and -DRB5 expression in the brain of patients with MS may be an important factor in how the HLA-DR15 haplotype contributes to MS pathomechanisms in the target organ.

A Comparative Analysis of the Peptide Repertoires of HLA-DR Molecules Differentially Associated With Rheumatoid Arthritis.

OBJECTIVE: To evaluate similarity of the peptide repertoires bound to HLA-DR molecules that are differentially associated with rheumatoid arthritis (RA), and to define structural features of the shared peptides. METHODS: Peptide pools bound to HLA-DRB1*01:01, HLA-DRB1*04:01, and HLA-DRB1*10:01 (RA associated) and those bound to HLA-DRB1*15:01 (non-RA-associated) were purified and analyzed by liquid chromatography (LC) matrix-assisted laser desorption ionization-time-of-flight mass spectrometry (MS) and LC-ion-trap MS. Peptide pools from each allotype were compared in terms of size, protein origin, composition, and affinity (both theoretical and experimental with some peptides). Finally, 1 peptide sequenced from DR1, DR4, and DR10, but not from DR15, was modeled in complex with all 4 HLA-DRB1 molecules and HLA-DRB5*01:01. RESULTS: A total of 6,309 masses and 962 unique peptide sequences were compared. DR10 shared 29 peptides with DR1, 9 with DR4, and 1 with DR15; DR1 shared 6 peptides with DR4 and 9 with DR15; and DR4 and DR15 shared 4 peptides. The direct identification of peptide ligands indicated that DR1 and DR10 were the most similar molecules regarding the peptides that they could share. The peptides common to these molecules contained a high proportion of Leu at P4 and basic residues at P8 binding core positions. CONCLUSION: The degree of overlap between peptide repertoires associated with different HLA-DR molecules is low. The repertoires associated with DR1 and DR10 have the highest similarity among the molecules analyzed (∼10% overlap). Among the peptides shared between DR1 and DR10, a high proportion contained Leu(4) and basic residues at the P8 position of the binding core.

What does global gene expression profiling tell us about the pathogenesis of systemic sclerosis?

PURPOSE OF REVIEW: The purpose of this study is to review recent hypothesis-driven studies that utilize global gene expression data for elucidating the molecular basis of systemic sclerosis (SSc) and its various clinical manifestations. RECENT FINDINGS: The longitudinal skin gene expression studies indicate that the previously identified molecular subsets are stable over time and might identify inherent subgroups of SSc patients. Skin transcript follow-up studies indicate that the Wnt/ß-catenin pathway plays an important role in promotion of fibrogenesis in fibroblasts and preadipocytes. Furthermore, the transcript profile of sclerodermatous graft-versus-host disease (sclGVHD) mice resembles the skin transcriptomes of a subgroup of SSc patientswith IL13/IL4-inducible skin signature wherein the profibrotic chemokine CCL2 plays a key role. The comparison of skin biopsies from SSc patients to skin lesions of patients with cutaneous lupus and dermatomyositis has provided valuable information about the interferon (IFN) signature in these autoimmune diseases. Furthermore, plasma IFN-inducible chemokines correlate with the IFN gene expression score in SSc patients, enabling researchers to examine this molecular signature in large SSc cohorts with serum or plasma collection. SUMMARY: Global gene expression profiling in skin and peripheral blood can contribute to a better understanding of SSc pathogenesis and identify novel biomarkers and therapeutic targets.