Metabolomics,Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

0

Limited systemic sclerosis patients with PAH show biomarkers of inflammation and vascular injury


ABSTRACT: Limited systemic sclerosis patients with pulmonary arterial hypertension show biomarkers of inflammation and vascular injury Forty-nine PBMC samples were obtained from 21 lSSc subjects without PAH (lSSc-noPAH), 15 lSSc subjects with PAH (lSSc-PAH), and 10 healthy controls; three subjects provided PBMCs one year later. Genome-wide gene expression was measured for each sample. Gene expression clearly distinguished lSSc samples from healthy controls, and separated lSSc-PAH from lSSc-NoPAH patients. The gene expression and cytokine profiles of lSSc-PAH patients suggest the presence of activated monocytes, and show markers of vascular injury and inflammation. Sample vs reference, total RNA isolated from peripheral blood mononuclear cells (PBMC), 21 lSSc subjects without PAH (lSSc-noPAH), 15 lSSc subjects with PAH (lSSc-PAH), and 10 healthy controls

ORGANISM(S): Homo sapiens

SUBMITTER: Giuseppina Farina 

PROVIDER: E-GEOD-19617 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

altmetric image

Publications

Limited systemic sclerosis patients with pulmonary arterial hypertension show biomarkers of inflammation and vascular injury.

Pendergrass Sarah A SA   Hayes Everett E   Farina Giuseppina G   Lemaire Raphael R   Farber Harrison W HW   Whitfield Michael L ML   Lafyatis Robert R  

PloS one 20100817 8


<h4>Background</h4>Pulmonary arterial hypertension (PAH) is a common complication for individuals with limited systemic sclerosis (lSSc). The identification and characterization of biomarkers for lSSc-PAH should lead to less invasive screening, a better understanding of pathogenesis, and improved treatment.<h4>Methods and findings</h4>Forty-nine PBMC samples were obtained from 21 lSSc subjects without PAH (lSSc-noPAH), 15 lSSc subjects with PAH (lSSc-PAH), and 10 healthy controls; three subjects  ...[more]

Similar Datasets

2010-10-27 | GSE19617 | GEO
2020-07-01 | GSE149899 | GEO
2020-01-18 | E-MTAB-3276 | biostudies-arrayexpress
2023-01-20 | GSE200821 | GEO
2016-09-30 | GSE73674 | GEO
| PRJNA122567 | ENA
2016-07-15 | E-GEOD-84395 | biostudies-arrayexpress
2015-04-28 | E-GEOD-68314 | biostudies-arrayexpress
2021-04-14 | GSE166996 | GEO
2013-02-12 | E-GEOD-37069 | biostudies-arrayexpress