Lupus & antiphospholipid syndrome
Deep stratification by transcriptome molecular characters for precision treatment of patients with systemic lupus erythematosus
Authors' conclusion
We developed the largest cohesive SLE transcriptomic compendium for deep stratification using the most comprehensive microarray and RNA sequencing datasets to date.
Study context
- Population
- PBMC transcription profiles of systemic lupus erythematosus (SLE) patients and healthy controls from six microarray datasets (13,689 genes)six microarray datasets
- Participants
- 1,046 vs 86
- Comparison
- SLE vs healthy controls (HCs)
- SLEn = 1,046
- HCsn = 86reference
- Outcome
- Transcriptomic subtypes of SLE
Methodological detailstranscriptomic compendium of six microarray datasets, unsupervised clustering, validation in six integrated RNA-sequencing datasets, Xgboost classifier
- Transcriptomic compendium of six microarray datasets
- Unsupervised clustering
- Validation in six integrated RNA-sequencing datasets
- Xgboost classifier
Main finding
As reported in the abstract
Upregulated DEGs on which classification was based
278
SLE patients classified into three subtypes (A-C), each with distinct molecular and cellular signatures
3
Original publication
Deep stratification by transcriptome molecular characters for precision treatment of patients with systemic lupus erythematosus. Rheumatology (Oxford). Published 29 October 2022. doi:10.
Composed by AI from the published abstract and checked against it. How Briefs are made →