scholarly journals Molecular basis for clinical diversity between autoantibody subsets in diffuse cutaneous systemic sclerosis

2021 ◽  
pp. annrheumdis-2021-220402
Author(s):  
Kristina Elizabeth Neergaard Clark ◽  
Corrado Campochiaro ◽  
Eszter Csomor ◽  
Adam Taylor ◽  
Katherine Nevin ◽  
...  
Keyword(s):  
Gene Expression ◽  
Systemic Sclerosis ◽  
Serum Protein ◽  
Molecular Basis ◽  
Expression Profiles ◽  
Rna Polymerase Iii ◽  
Gene Expression Profiles ◽  
Longitudinal Change ◽  
Protein Markers ◽  
Insight Into

ObjectivesClinical heterogeneity is a cardinal feature of systemic sclerosis (SSc). Hallmark SSc autoantibodies are central to diagnosis and associate with distinct patterns of skin-based and organ-based complications. Understanding molecular differences between patients will benefit clinical practice and research and give insight into pathogenesis of the disease. We aimed to improve understanding of the molecular differences between key diffuse cutaneous SSc subgroups as defined by their SSc-specific autoantibodiesMethodsWe have used high-dimensional transcriptional and proteomic analysis of blood and the skin in a well-characterised cohort of SSc (n=52) and healthy controls (n=16) to understand the molecular basis of clinical diversity in SSc and explore differences between the hallmark antinuclear autoantibody (ANA) reactivities.ResultsOur data define a molecular spectrum of SSc based on skin gene expression and serum protein analysis, reflecting recognised clinical subgroups. Moreover, we show that antitopoisomerase-1 antibodies and anti-RNA polymerase III antibodies specificities associate with remarkably different longitudinal change in serum protein markers of fibrosis and divergent gene expression profiles. Overlapping and distinct disease processes are defined using individual patient pathway analysis.ConclusionsOur findings provide insight into clinical diversity and imply pathogenetic differences between ANA-based subgroups. This supports stratification of SSc cases by ANA antibody subtype in clinical trials and may explain different outcomes across ANA subgroups in trials targeting specific pathogenic mechanisms.

scholarly journals Patients with systemic sclerosis-associated pulmonary arterial hypertension express a genomic signature distinct from patients with interstitial lung disease

2018 ◽  
Vol 3 (3) ◽  
pp. 242-248 ◽  
Author(s):  
Matthew Moll ◽  
Romy B Christmann ◽  
Yuqing Zhang ◽  
Michael L Whitfield ◽  
Yu Mei Wang ◽  
...  
Keyword(s):  
Gene Expression ◽  
Systemic Sclerosis ◽  
Pulmonary Arterial Hypertension ◽  
Interstitial Lung Disease ◽  
Arterial Hypertension ◽  
Lung Disease ◽  
Expression Profiles ◽  
Area Under The Curve ◽  
Gene Expression Profiles ◽  
Pulmonary Arterial

Objective: Pulmonary arterial hypertension and interstitial lung disease are major causes of mortality in systemic sclerosis. We used a previously identified microarray biomarker to determine whether systemic sclerosis-pulmonary arterial hypertension and systemic sclerosis-interstitial lung disease patients demonstrate distinct gene expression profiles. Methods: Peripheral blood mononuclear cells were collected from healthy controls ( n = 10), systemic sclerosis patients without pulmonary hypertension (systemic sclerosis-no pulmonary arterial hypertension, n = 39), and systemic sclerosis-pulmonary arterial hypertension patients ( n = 21; mean pulmonary arterial pressure ≥25, pulmonary capillary wedge pressure ≤15, and pulmonary vascular resistance ≥3 Wood units) diagnosed by right heart catheterization. Systemic sclerosis-interstitial lung disease patients were defined as those with evidence of fibrosis on chest computed tomography and significant restriction (forced vital capacity <70% predicted, n = 11). Systemic sclerosis-pulmonary arterial hypertension biomarker included 69 genes selected by unbiased statistical screening of three publicly available microarray studies. RNA levels were measured by NanoString Technologies. Gene expression levels that were significantly correlated with pulmonary arterial hypertension (multiple statistical measures) were chosen as inputs into a forward selection logistic regression model. Results: When interstitial lung disease patients were included ( n = 64), four genes (S100P, CD8B1, CCL2, and TIMP1) and male sex predicted pulmonary arterial hypertension with a high level of accuracy (area under the curve = 0.83). Without interstitial lung disease patients ( n = 53), two genes (THBS1 and CD8B1) and male sex predicted pulmonary arterial hypertension with a high level of accuracy (area under the curve = 0.80). When examining systemic sclerosis patients with borderline elevated pulmonary pressures (mean pulmonary arterial pressure = 21–24 mmHg), gene expression changes closely resembled the systemic sclerosis-pulmonary arterial hypertension group, except for THBS1. Conclusion: Systemic sclerosis-pulmonary arterial hypertension and systemic sclerosis-interstitial lung disease have similar but distinct gene expression profiles. Many gene expression changes occur early in the disease course, potentially allowing early detection. THBS1 appears to be an important mediator in the development of pulmonary arterial hypertension-predominant phenotype. Further prospective investigation is warranted.

scholarly journals Novel Insight Into Glycosaminoglycan Biosynthesis Based on Gene Expression Profiles

2021 ◽  
Vol 9 ◽  
Author(s):  
Yi-Fan Huang ◽  
Shuji Mizumoto ◽  
Morihisa Fujita
Keyword(s):  
Gene Expression ◽  
Chondroitin Sulfate ◽  
Dermatan Sulfate ◽  
Expression Profiles ◽  
Gene Expression Profiles ◽  
Sulfate Proteoglycan ◽  
Expression Levels ◽  
Core Proteins ◽  
Dermatan Sulfate Proteoglycan ◽  
Insight Into

Glycosaminoglycans (GAGs) including chondroitin sulfate, dermatan sulfate, heparan sulfate, and keratan sulfate, except for hyaluronan that is a free polysaccharide, are covalently attached to core proteins to form proteoglycans. More than 50 gene products are involved in the biosynthesis of GAGs. We recently developed a comprehensive glycosylation mapping tool, GlycoMaple, for visualization and estimation of glycan structures based on gene expression profiles. Using this tool, the expression levels of GAG biosynthetic genes were analyzed in various human tissues as well as tumor tissues. In brain and pancreatic tumors, the pathways for biosynthesis of chondroitin and dermatan sulfate were predicted to be upregulated. In breast cancerous tissues, the pathways for biosynthesis of chondroitin and dermatan sulfate were predicted to be up- and down-regulated, respectively, which are consistent with biochemical findings published in the literature. In addition, the expression levels of the chondroitin sulfate-proteoglycan versican and the dermatan sulfate-proteoglycan decorin were up- and down-regulated, respectively. These findings may provide new insight into GAG profiles in various human diseases including cancerous tumors as well as neurodegenerative disease using GlycoMaple analysis.

The Inducing Role and Molecular Basis of Bursal Hexapeptide (BHP) on Avian Immature B Cell

2019 ◽  
Vol 26 (5) ◽  
pp. 348-356
Author(s):  
Xiu Li Feng ◽  
Yang Zheng ◽  
Shan Shan Hao ◽  
Guang Fang Zhou ◽  
Pu Yan Chen
Keyword(s):  
Gene Expression ◽  
B Cells ◽  
B Cell ◽  
Cell Line ◽  
Molecular Basis ◽  
Expression Profiles ◽  
Gene Expression Profiles ◽  
Dt40 Cell ◽  
Immature B Cells ◽  
Dt40 Cells

Background: The Bursa of Fabricius is an acknowledged central humoral immune organ unique to birds, which provides an ideal research model on the immature B cell development. Objective: In this article, our motivation is to study the role on sIgM and establish the molecular basis and functional processes of Bursal Hexapeptide (BHP) in avian immature B cells DT40 cell lines. Methods: In this article, we detected the expressions of sIgM mRNA with qPCR in DT40 cells with BHP treatment, and investigated the gene expression profiles of BHP-treated DT40 cells, employing microarray analyses. Also, to validate the differentially expressed genes, we performed KEGG pathway and Gene Ontology analysis in the BHP-treated DT40 cells. Finally, we comparatively analyzed the similar regulated genes and their involved immune functional processes between DT40 cell and mouse immature B cell line WEHI231 cell with BHP treatment. Results: Following the proposed framework, we proved that the BHP enhanced the mRNA expression levels of IgM in DT40 cells, and induced 460 upregulated genes and 460 downregulated genes in BHP-treated DT40 cells. The pathway analysis showed that the differentially regulated genes in DT40 cell line with BHP treatment were involved in 12 enrichment pathways, in which Toll-like receptor signaling pathway was the vital pathways, and cytokine-cytokine receptor interaction and Jak-STAT signaling pathway were another two important pathways in BHP-treated DT40 cells. Moreover, BHP induced the immune related biological processes in BHP-treated DT40 cells, including T cell related, cytokine related, lymphocyte related, and innate immune response GO terms. Finally, the comparatively analysis showed that there were two downregulated genes GATA3 and IFNG to be found co-existed among the differentially expressed genes in BHP-treated DT40 cell and WEHI231 cells, which shared some same immune related functional processes in both cell lines. Conclusion: After the applying the framework, we proved the inducing roles and the gene expression profiles of BHP on avian immature B cells, and verified some molecular basis from the KEGG and GO analysis. These results provided the insight for mechanism on immature B cell differentiation, and offer the essential direction for the vaccine improvement.

scholarly journals Rust expression browser: an open source database for simultaneous analysis of host and pathogen gene expression profiles with expVIP

BMC Genomics ◽  
2021 ◽  
Vol 22 (1) ◽  
Author(s):  
Thomas M. Adams ◽  
Tjelvar S. G. Olsson ◽  
Ricardo H. Ramírez-González ◽  
Ruth Bryant ◽  
Rosie Bryson ◽  
...  
Keyword(s):  
Gene Expression ◽  
Puccinia Striiformis ◽  
Expression Profiles ◽  
Infected Plant ◽  
Gene Expression Profiles ◽  
Host Responses ◽  
Rna Seq ◽  
Yellow Stripe ◽  
Insight Into ◽  
Over Time

Abstract Background Transcriptomics is being increasingly applied to generate new insight into the interactions between plants and their pathogens. For the wheat yellow (stripe) rust pathogen (Puccinia striiformis f. sp. tritici, Pst) RNA-based sequencing (RNA-Seq) has proved particularly valuable, overcoming the barriers associated with its obligate biotrophic nature. This includes the application of RNA-Seq approaches to study Pst and wheat gene expression dynamics over time and the Pst population composition through the use of a novel RNA-Seq based surveillance approach called “field pathogenomics”. As a dual RNA-Seq approach, the field pathogenomics technique also provides gene expression data from the host, giving new insight into host responses. However, this has created a wealth of data for interrogation. Results Here, we used the field pathogenomics approach to generate 538 new RNA-Seq datasets from Pst-infected field wheat samples, doubling the amount of transcriptomics data available for this important pathosystem. We then analysed these datasets alongside 66 RNA-Seq datasets from four Pst infection time-courses and 420 Pst-infected plant field and laboratory samples that were publicly available. A database of gene expression values for Pst and wheat was generated for each of these 1024 RNA-Seq datasets and incorporated into the development of the rust expression browser (http://www.rust-expression.com). This enables for the first time simultaneous ‘point-and-click’ access to gene expression profiles for Pst and its wheat host and represents the largest database of processed RNA-Seq datasets available for any of the three Puccinia wheat rust pathogens. We also demonstrated the utility of the browser through investigation of expression of putative Pst virulence genes over time and examined the host plants response to Pst infection. Conclusions The rust expression browser offers immense value to the wider community, facilitating data sharing and transparency and the underlying database can be continually expanded as more datasets become publicly available.

scholarly journals Distinct gene expression profiles in leukocortical demyelinated white and grey matter areas of Multiple Sclerosis patients

2020 ◽  
Author(s):  
T.A. van Wageningen ◽  
E. Gerrits ◽  
A. Geleijnse ◽  
N. Brouwer ◽  
J.J.G. Geurts ◽  
...  
Keyword(s):  
Gene Expression ◽  
Multiple Sclerosis ◽  
Expression Profile ◽  
Grey Matter ◽  
Expression Profiles ◽  
Gene Expression Profiles ◽  
Distinct Gene ◽  
Distinct Gene Expression Profile ◽  
Multiple Sclerosis Patients ◽  
Insight Into

ABSTRACTDemyelination of the CNS is a prominent pathological hallmark of Multiple Sclerosis (MS) and affects both white (WM) and grey matter (GM). However, demyelinated WM and GM areas exhibit clear pathological differences, most notably the presence or absence of inflammation and activated glial cells in WM and GM, respectively. In order to gain more insight into the differential pathology of demyelinated WM and GM areas, we micro-dissected neighbouring WM and GM demyelinated areas as well as normal appearing matter from leukocortical lesions of human post-mortem material and used these samples for RNA-sequencing. Our data show that even neighbouring WM and GM demyelinated areas share only 10% overlap in gene expression, implying a distinct gene expression profile, which is extending to a specific glial cell related signature. We propose that, based on their distinct expression profile, pathological processes in neighbouring WM and GM are likely different which could have implications for the efficacy of current MS treatments.

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