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April 10, 2026Lupus Science & MedicineOpen Access

Unsupervised clustering of clinical and laboratory features of systemic lupus erythematosus: insights from a multicentre cohort

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Authors

YHYuke HouYWYan WangBWBo Wei

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Overview

Analysis identifies distinct clinical and immunological clusters in systemic lupus erythematosus, suggesting targeted treatment approaches.

Key Points

  • The study aims to explore the relationship between clinical phenotypes and immuno-molecular features of systemic lupus erythematosus (SLE).
  • Conducted unsupervised clustering on clinical and laboratory data of 1065 SLE patients.
  • Implemented multi-omics profiling, including proteomics and transcriptomics.
  • Followed 899 patients for over 1 year to assess therapeutic responses.
  • Compared identified clusters with healthy controls.
  • Five distinct SLE clusters were identified based on clinical phenotypes and immunological signatures.
  • Cluster 1 showed predominant renal involvement; Cluster 2 had high rates of low disease activity.
  • Cluster 3 exhibited high neuropsychiatric manifestations; Cluster 4 was characterized by haematologic issues.
  • Cluster 5 presented significant cardiopulmonary involvement.
  • Certain treatments improved clinical outcomes differently across clusters.

Cite This Study

Hou et al. (2026) studied this question.

synapsesocial.com/papers/69d896046c1944d70ce07358https://doi.org/10.1136/lupus-2025-001842
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Three clinical and immunological phenotypes of systemic lupus erythematosus onset identified through clustering analysis: data from the RELES registry2026
  2. 2O11 Unsupervised machine-learning identifies distinct clusters based on B cell phenotyping and autoantibody profiles in patients with systemic lupus erythematosus2024
  3. 3305 Using ACR-component based unsupervised clustering with Olink proteomics to resolve SLE heterogeneity2024
  4. 4Unsupervised Clustering of Whole Blood Gene Expression Treatment Naïve Children and Adolescents with Childhood-Onset Systemic Lupus Erythematosus.2026
  5. 5Identifying Clinical Endophenotypes in Childhood-Onset Systemic Lupus Erythematosus Using Unsupervised Machine Learning2026