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Defining the Molecular and Radiologic Phenotype of Progressive RA Interstitial Lung Disease

Defining the Molecular and Radiologic Phenotype of Progressive RA Interstitial Lung Disease (MOUNTAIN)

Status
Recruiting
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT06397677
Acronym
MOUNTAIN
Enrollment
450
Registered
2024-05-03
Start date
2024-01-22
Completion date
2034-01-31
Last updated
2024-05-03

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Interstitial Lung Disease, Rheumatoid Arthritis

Brief summary

A study to identify patients with Rheumatoid Arthritis - Associated Interstitial Lung Disease (RA-ILD) that are at the highest risk for progression. The goal of the investigators is to recruit a group of patients with RA-ILD and collect information to help us understand more about disease progression. The investigators will do this using a combination of clinical, radiologic, and biologic features.

Detailed description

The central hypothesis is that novel quantitative imaging and specific blood markers will be associated with progressive RA-ILD. The hypothesis will be tested through collection and analysis of peripheral blood, in addition to the analysis of HRCT (high-resolution computed tomography) scans performed as standard of care (clinical) on research subjects. Procedures performed: Baseline Year 0: Blood sample, buccal (cheek) swab, questionnaires and if performed clinically - Pulmonary Function tests, 6 Minute Walk Test, and HRCT scan of lungs Every 4 months (at clinic visit): Blood sample, questionnaires Year 1 and Year 2 Follow-ups: Blood sample, buccal (cheek) swab, questionnaires and if performed clinically - Pulmonary Function tests, 6 Minute Walk Test, and HRCT scan of lungs

Interventions

GENETICResearch Testing Performed (Laboratory)

Blood collection (DNA, RNA)

DIAGNOSTIC_TESTInformation Collected as Standard of Care

High Resolution CT Scan (Chest), Pulmonary Function Testing (PFT), 6-Minute Walk Test (6MWT)

OTHERResearch Testing Performed

Blood collection (non-genetic), Buccal Swab, Rheumatologic Assessment, Pulmonary Assessment, Questionnaires

Sponsors

National Heart, Lung, and Blood Institute (NHLBI)
CollaboratorNIH
University of California, San Francisco
CollaboratorOTHER
University of Michigan
CollaboratorOTHER
University of Kansas
CollaboratorOTHER
University of Colorado, Denver
Lead SponsorOTHER

Study design

Observational model
COHORT
Time perspective
PROSPECTIVE

Eligibility

Sex/Gender
ALL
Age
18 Years to 90 Years
Healthy volunteers
No

Inclusion criteria

* Multidisciplinary diagnosis of RA-ILD based on the 2010 American College of Rheumatology criteria * 18 years of age or older

Exclusion criteria

* Prior medication treatment specifically for RA-ILD * Inability to give informed consent * Pregnant women

Design outcomes

Primary

MeasureTime frameDescription
Evaluating the role of novel quantitative imaging5-yearsThrough evaluation of baseline CT scans and application of novel quantitative technology, investigators will monitor for specific patterning to identify patients at risk for progression.

Secondary

MeasureTime frameDescription
Comparing peripheral blood telomere length (PB-TL)5-yearsInvestigators will test and validate if baseline peripheral blood telomere length (PB-TL) predicts a progressive phenotype in RA-ILD.
Defining peripheral blood transcriptomic profiles5-yearsInvestigators will define and validate the peripheral blood transcriptomic profile of progressive RA-ILD.
Exploring if a composite profile more accurately identifies progressive RA-ILD5-yearsInvestigators will use logistic least absolute shrinkage and selection operator (LASSO) to develop a predictive model of RA-ILD progression using demographics, novel imaging, PB-TL and peripheral blood transcriptome.

Countries

United States

Contacts

Primary ContactHaylie Lengel
haylie.lengel@cuanschutz.edu970-376-8303
Backup ContactJoyce S Lee
joyce.lee@cuanschutz.edu303-724-6109

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026