Validation of eight endotypes of lupus based on whole-blood RNA profiles.

ABSTRACT:

Objective

We previously described a classification system of persons with SLE based on whole blood RNA profiles and a random forest (RF) algorithm to predict individual patient endotypes. Here, we apply this algorithm prospectively in an independent set of patients to validate its use as a staging biomarker.

Methods

Whole blood from 101 patients participating in three clinical trials (NCT03626311, NCT03180021 and NCT05845593) meeting American College of Rheumatology (ACR) or Systemic Lupus Collaborating Clinics (SLICC) criteria for SLE classification was obtained at baseline, and RNA isolated and sequenced. Gene expression values were used as input to gene set variation analysis (GSVA), and the RF algorithm was applied using GSVA enrichment scores of 32 informative gene sets

SUBMITTER: Hubbard E 

PROVIDER: S-EPMC12083367 | biostudies-literature | 2025 May

REPOSITORIES: biostudies-literature