Unique Serum Immune Phenotypes and Stratification of Oklahoma Native American Rheumatic Disease Patients
Authors' conclusion
Serum protein signatures distinguished NA patients with rheumatic disease into distinct immune subsets.
Study context
- Population
- Adult Native American patients with rheumatic disease and control patients, Oklahoma
- Participants
- 28 / 18 / 28 / 28 / 28 / 28
- Exposure
- Immune phenotypes across Native American (NA) rheumatic disease diagnostic groups and controls
- AAB+ rheumatoid arthritis (RA)n = 28
- AAB- RAn = 18
- Systemic autoimmune rheumatic diseasen = 28
- Arthralgia/OAn = 28
- Polyarthritis/UCTDn = 28
- Controlsn = 28reference
Methodological detailsmachine learning, random forest clustering
- Machine learning
- Random forest clustering
Main finding
As reported in the abstract
- Serum soluble mediators not homogenous between NA rheumatic disease diagnostic groups
- Clustering by serum biomarkers created 5 analogous immune phenotypes
- Chronic inflammation, innate, B cell, T follicular helper cell, interferon-associated and regulatory signatures distinguished the 5 immune signatures
- Select clinical features associated with individual immune profiles
- Low inflammatory/higher regulatory signatures: more likely few clinical manifestations; T cell pathway involvement: more arthritis
Observational data: associations, not effects.
Original publication
Unique Serum Immune Phenotypes and Stratification of Oklahoma Native American Rheumatic Disease Patients. Arthritis Care Res (Hoboken). Published 26 November 2022. doi:10.
Composed by AI from the published abstract and checked against it. How Briefs are made →