Inhaled Treprostinil in Sarcoidosis Patients With Pulmonary Hypertension
NCT03814317
Cardiovascular Diseases, Hemic and Lymphatic Diseases
Gainesville, Florida, United States
View Trial DetailsNCT Number: NCT01831739
This project is designed to address the following hypothesis:
Distinct patterns in lung microbiome are characteristic of sarcoidosis phenotypes and reflected in changes in systemic inflammatory responses as measured by peripheral changes in gene transcription.
The Specific Aims are:
1. To identify peripheral blood mononuclear cell (PBMC) gene expression patterns that characterize distinct sarcoidosis phenotypes. 2. To determine whether patterns in the lung microbiome are associated with sarcoidosis severity and disease phenotypes 3. To correlate mRNA and microRNA expression patterns in sarcoidosis affected organs with changes in microbiome, clinical parameters and PBMC gene expression patterns 4. To integrate clinical, transcriptomic, and microbiome data to identify novel molecular phenotypes in sarcoidosis.
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Notify Me18 year–85 year
All sexes
Observational
Arizona Health Sciences Center, Tucson, Arizona, United States
Sarcoidosis is a systemic disease characterized by the formation of granulomatous lesions, especially in the lungs, liver, skin, and lymph nodes, with a heterogeneous set of clinical manifestations and a variable course 1. Despite significant progress in the understanding of the genetic predisposition and role of immunity, it is still a challenge to explain the clinical presentation of sarcoidosis. Standard clinical assessment, imaging, and pulmonary function tests (PFTs) do not allow prediction of disease course and response to therapy. Furthermore, there are no good long-term therapies. Considering that the interactions between potential infections, changes in systemic inflammation, and patterns in lung microbiome and the different and distinct disease phenotypes in sarcoidosis are not well understood, the Sarcoidosis protocol for the Genomic Research in AAT Deficiency and Sarcoidosis (GRADS) grant (hereafter called GRADS Sarcoidosis protocol) is designed to address the following:
Hypothesis
Distinct patterns in lung microbiome are characteristic of sarcoidosis phenotypes and reflected in changes in systemic inflammatory responses as measured by peripheral changes in gene transcription.
Specific Aims
Focusing on accessible PBMCs should enable GRADS researchers to identify markers for disease phenotypes, severity, and outcome. Analysis of lesional transcriptomes (mRNA, microRNA and lincRNA) will add mechanistic insights. High throughput unbiased analysis of the lung microbiome will potentially identify patterns in the lung microbiome that determine disease activity and persistence, as well as response to therapy.
Participants are assigned a provisional clinical phenotype upon obtaining consent at time of enrollment by the respective recruiting center. Clinical phenotypes will be reviewed, confirmed, and monitored to ensure achievement of study objectives. Participants who cannot be assigned a clinical phenotype after the initial study visit will be excluded from additional study participation.
Healthy volunteers accepted: No
Only the study team can determine whether someone qualifies for participation.
Inclusion criteria
OR Have a suspected diagnosis of sarcoidosis and is scheduled to undergo a biopsy procedure to confirm a diagnosis of sarcoidosis using the same consensus criteria (ATS/ERS).
Exclusion criteria
Conditional Exclusions:
Time frame: Baseline, 6 months, 12 months
To identify peripheral blood mononuclear cell (PBMC) gene expression patterns that characterize distinct sarcoidosis phenotypes, samples will be run in batches in block designs (equal numbers of phenotypes) and batches will be analyzed independently to determine reproducibility - a subset of samples will be rerun to assure continuity and established normalization algorithms will be applied 1-3. Normalized human transcript (mRNA and microRNA) levels obtained from PBMC will be related to established phenotypes as well as cross phenotype characteristics using linear models, i.e., ANOVA or linear regression using the LIMMA package (http://bioinf.wehi.edu.au) or BRB ArrayTools (http://linus.nci.nih.gov/BRB-ArrayTools.html).
University of Pittsburgh
Other
Genomic Research in Alpha-1 Antitrypsin Deficiency and Sarcoidosis (GRADS) - Sarcoidosis Protocol
Acronym: GRADS Sarc
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