Global transcriptome profiling in peripheral blood mononuclear cells identifies dysregulation of immune processes in individuals with radiologically isolated syndrome
Ontology highlight
ABSTRACT: The presence of brain/spinal white matter lesions typical for multiple sclerosis (MS) in asymptomatic individuals is known as ‘radiologically isolated syndrome’ (RIS). Allow for the established fact that RIS patients are at high risk of MS development, understanding the causes underlying RIS onset and the variability of its conversion to MS are of great importance. In order to investigate RIS-specific transcription signature we perfromed high-throughput RNA sequencing in peripheral blood mononuclear cells (PBMCs) of 8 RIS patients and 8 age- and sex-matched healthy controls. We identified 57 differentially expressed genes (DEGs), which levels differed by more than 2 times when compared these groups (FDR p value < 0.05). Gene ontology enrichment analysis in the "biological process" category revealed 16 signalling pathways significantly overrepresented by identified DEGs. The most significant changes in gene expression in PBMCs of RIS patients occur in pathways involved in regulation of the immune response, cytokine and chemokine signaling, cytokine production, and leukocyte migration. In general, analyzing the global transcriptome we demonstrated the dysregulation of immune processes in PBMCs of RIS patients, confirming the current assumption that RIS represents the preclinical stage and/or subclinical form of MS.
Project description:Here we investigated the earliest possible evidence of subclinical neuro-inflammation (SCNI) using a small cohort of monozygotic twins where one sibling had clinically definite MS and the other been clinically "healthy" but has a maximal genetic for developing MS. In contrast to subjects with radiologically isolated syndrome (RIS), our group of very early SCNI does not even fulfill the (arbitrary) MRI criteria for RIS but have more subtle MRI changes and/or evidence of neuro-inflammation in the CSF, e.g. oligoclonal bands (OCBs). For analyzing CSF samples from Twin pairs and controls in greater detail we applied single-cell whole transcriptome sequencing (scRNAseq). Our findings demonstrate that even the earliest experimentally approachable stage of MS is characterized by synergistic activation of CD8+ T cells, CD4+ T cells and B cells.
Project description:PBMCs were isolated from normal CKD patient, end-stage renal disease patients without HF (ESRD), ESRD patients with HFpEF, and heart failure with reduced ejection fraction (HFrEF). The difference expression genes (DEGs) in PBMCs among different groups were compared using microarray.
Project description:RNA deep sequencing analysis was perfromed on PBMCs obtained from cynomolgus macaques (CMs) prior to and after immunization with VSV carrying ZEBOVgp (VSVΔG/ZEBOVgp) and at multiple points after ZEBOV challenge
Project description:Systemic Juvenile Idiopathic Arthritis (sJIA) has been strongly associated with macrophage activation syndrome (MAS). To better understand the pathogenesid of sJIA and to facilitate the search for MAS biomarkers, we examine gene expression profiles in untreated new onset sJIA. 17 new onset sJIA patients were included in the study. 5 of the 17 patients showed evidence of subclinical MAS and 2 eventually developed overt MAS. Keywords: disease versus control Peripheral blood mononuclear cells (PBMCs) were separated using a Ficoll gradient from the 17 new onset sJIA patients and 30 normal control. RNA was extracted from the PBMCS and subsequently hybridized to Affymetrix microarrays
Project description:Most biomarkers for the diagnosis and prognosis of multiple sclerosis (MS) are not yet clinically available due to low reproducibility. Here, we show that times of day affect gene expression profiles in MS patients. Thus sample collection has to be standardized based on the time-points biomarkers are expressed to increase reproducibility. In this study, we examined transcriptome profiles in whole blood of MS patients collected at two different time-points of the day, around 2 pm as the daytime and 9 pm as the nighttime. We observed the significantly changed gene expression profiles in the relapsing patients at nighttime compared to their daytime samples and the remitting patients at nighttime. Among all DEGs, we focused on differentially expressed genes (DEGs) related to immune responses because of association with clinical outcomes of MS. 68 immune responses-associated DEGs significantly changed their expression in the relapsing patients at nighttime but not in their daytime samples and remitting patients at nighttime. Therefore, this study shows that: 1) gene expresion patterns in relapsing patients are changed compared to remitting patients; 2) altered gene expression patterns in relpasing patients are detected at nighttim; 3) times of day to collect samples from MS patients should be standardized based on the gene expression patterns across a day.
Project description:Gene expression profiles of PBMCs in patients with MS following extra virgin olive oil intake. The aim of the present study was to investigate the whole-genome gene and miRNA profiles of after EVOO intake. Results provide the information of changes in PBMCs transcriptome following EVOO intake. RNA obtained from PBMCs of the same patients before and after extra virgin olive oil intake (paired samples). Comparisons: T0 vs. T1 (paired samples)
Project description:Gene expression profiles of PBMCs in patients with MS following extra virgin olive oil intake. The aim of the present study was to investigate the whole-genome gene and miRNA profiles of after EVOO intake. Results provide the information of changes in PBMCs transcriptome following EVOO intake.
Project description:Optic neuritis (ON) is a common manifestation of multiple sclerosis (MS); it appears as the presenting symptom in about 25% of MS patients and occurs in 30–70% of patients with MS during the course of their illness Purpose. To evaluate the molecular pathways that operate in the early phase of acute ON by studying gene expression profiles of peripheral blood mononuclear cells (PBMCs) subpopulations including CD19+ B cells, CD14+ macrophages, CD4+ and CD8+ T cells.
Project description:Background: Psoriasis is a chronic disease characterized by the development of scaly red skin lesions and possible co-morbid conditions. The psoriasis lesional skin transcriptome has been extensively investigated, but mRNA levels do not necessarily reflect protein abundance. Methods: Lesional (PP) and uninvolved (PN) skin samples from 14 patients were analyzed using high-throughput complementary DNA sequencing (RNA-seq) and liquid chromatography-tandem mass spectrometry (LC-MS/MS). Results: We identified 4122 differentially expressed genes (DEGs) along with 748 differentially expressed proteins (DEPs). Global shifts in mRNA were modestly correlated with changes in protein abundance (r = 0.40). We identified similar numbers of increased and decreased DEGs, but 4-fold more increased than decreased DEPs. Ribosomal subunit and translation proteins were elevated within lesions, without a corresponding shift in mRNA expression (RPL3, RPS8, RPL11). We identified 209 differentially expressed genes/proteins (DEGPs) with corresponding trends at the transcriptome and proteomic levels. Most DEGPs were similarly altered in at least one other skin disease. Psoriasis-specific and non-specific DEGPs had distinct cytokine-response patterns, with only the former showing disproportionate induction by IL-17A in cultured keratinocytes. Conclusions: Our findings reveal global imbalance between the number of increased and decreased proteins in psoriasis lesions, consistent with heightened translation. This effect could not have been discerned from mRNA profiling data alone. We have also identified high-confidence DEGPs and shown that only those most specific to psoriasis are enriched with IL-17A targets. RNA-seq-based comparison between gene expression in psoriasis lesions and uninvolved skin from 14 patients
Project description:Our results introduce interleukin (IL)-11 as a new cytokine that may play a role in the development of the autoimmune response in patients with relapsing remitting multiple sclerosis (RR MS). IL-11 was found to be the highest up-regulated cytokine in the serum and cerebrospinal fluid (CSF) from patients with clinically isolated syndrome (CIS) suggestive of MS. It was also increased in the serum and CSF of patients with clinically definitive RRMS and during the clinical relapses of the disease. CD4+ cells represent a predominant cell source of IL-11 in the peripheral circulation, and the percentage of IL-11+CD4+ cells is significantly increased in CIS patients in comparison to healthy controls (HCs). Furthermore, we have identified IL-11 as a new Th17-promoting cytokine. IL-11 induces a differentiation of naïve CD4+ T cells into Th17 cells, as well as Th17 memory cell expansion, characterized by secretion of IL-17A, IL-17F, IL-21 and IL-22. Since the Th17 cytokines IL-17F, IL-21 and TNF- induced differentiation of naïve cells in the IL-11-secreting CD4+ cells, we propose that cross-talk between IL-11+CD4+ and Th17-cells may play a role in the initiation and propagation of the autoimmune response in RRMS. PBMCs were separated from 15 CIS patients and 7 HCs, and the total RNA was extracted and used for gene array hybridization as described previously. To detect differential gene expression profiles between the CIS patients and HCs, a two class paired test of significance analysis was used. In order to capture complex gene expression changes in the PBMCs derived from 15 CIS patients in comparison to 7 HCs, we performed a comprehensive study using Affymetrix Human Gene array U133 (HG-U133) with 45,000 probe sets representing approximately 33,000 human genes. The arrays were hybridized for 16 h at 45oC in a GeneChip® Hybridization Oven 640 (Affymetrix), washed and stained with R-phycoerythrin streptavidin in a GeneChip® Fluidics Station 400 (Affymetrix). The arrays were scanned with a Hewlett Packard GeneArray Scanner. Affymetrix GeneChip® Microarray Suite 5.0 software was used for washing, scanning, and basic analysis. To detect differential gene expression profiles between the CIS patients and HCs, a two class paired test of significance analysis of microarrays was used. Differentially expressed genes were determined using a Welch two sample t-test. A p<0.05 was considered significant.