T Cell Transcriptomes Describe Patient Subtypes in Systemic Lupus Erythematosus.

Area of Science:

• Immunology
• Genomics
• Autoimmune Diseases

Background:

• T cells play a crucial role in adaptive immunity and exhibit altered function in autoimmune conditions.
• Systemic Lupus Erythematosus (SLE) presents with diverse clinical manifestations and variable treatment responses.
• Analyzing peripheral blood T cell gene expression offers an efficient method to study SLE immune dysfunction and develop diagnostic biomarkers for patient stratification.

Purpose of the Study:

• To investigate T cell immune dysfunction in Systemic Lupus Erythematosus (SLE) through gene expression analysis.
• To identify novel patterns and pathways associated with SLE etiology and manifestation.
• To explore potential biomarkers for patient stratification based on T cell gene expression profiles.

Main Methods:

• High-depth sequencing of peripheral blood T cell samples from 14 SLE patients and 4 healthy controls.
• Unbiased clustering of genes and samples to identify novel expression patterns.
• Functional annotation of differentially expressed genes to highlight relevant pathways and protein domains.

Main Results:

• Hundreds of consistently altered gene transcripts were identified in SLE T cells, with pathways related to mitochondria, nucleotide metabolism, and DNA replication being upregulated.
• Reduced mRNA expression was observed for genes involved in signaling, splicing, and transcriptional activity.
• Distinct gene signatures correlated with clinical features like anti-dsDNA antibodies, low complement levels, and nephritis, revealing patient subtypes (e.g., minimal expression, male type, severe phenotypes).

Conclusions:

• Unbiased transcriptome analysis of peripheral blood T cells provides valuable insights into SLE pathophysiology and patient heterogeneity.
• The study presents an open-source workflow and a well-annotated dataset to facilitate further research into T cell biology in SLE.
• Findings support the development of biomarkers for patient stratification and may help elucidate the sources of immune dysfunction in SLE.