Sarcoidosis Clinical Trial
Official title:
Genomic Research in Alpha-1 Antitrypsin Deficiency and Sarcoidosis (GRADS) - Sarcoidosis Protocol
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.
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
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.
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.
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Observational Model: Cohort, Time Perspective: Prospective
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