ArticleLife (Basel, Switzerland)2021
Transcription Factor Activity Inference in Systemic Lupus Erythematosus.
Article in Life (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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5 citing papers in PubMed, 10 citations in OpenAlex.
- Molecular subtypes explain lupus epigenomic heterogeneity unveiling new regulatory genetic risk variants.NPJ genomic medicine · 2024Article
- Transcription Factors in the Pathogenesis of Lupus Nephritis and Their Targeted Therapy.International journal of molecular sciences · 2024Review
- Enhanced GATA4 expression in senescent systemic lupus erythematosus monocytes promotes high levels of IFNα production.Frontiers in immunology · 2024Article
- Analysis of transcriptomic features reveals molecular endotypes of SLE with clinical implications.Genome medicine · 2023Article
- Profiling system-wide variations and similarities between Rheumatic Heart Disease and Acute Rheumatic Fever-A pilot analysis.PLoS neglected tropical diseases · 2023Article
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Authors and funding
10 authors at 6 institutions in 5 countries.
Funding
Abstract
backgroundSystemic Lupus Erythematosus (SLE) is a systemic autoimmune disease with diverse clinical manifestations. Although most of the SLE-associated loci are located in regulatory regions, there is a lack of global information about transcription factor (TFs) activities, the mode of regulation of the TFs, or the cell or sample-specific regulatory circuits. The aim of this work is to decipher TFs implicated in SLE.
methodsIn order to decipher regulatory mechanisms in SLE, we have inferred TF activities from transcriptomic data for almost all human TFs, defined clusters of SLE patients based on the estimated TF activities and analyzed the differential activity patterns among SLE and healthy samples in two different cohorts. The Transcription Factor activity matrix was used to stratify SLE patients and define sets of TFs with statistically significant differential activity among the disease and control samples.
resultsTF activities were able to identify two main subgroups of patients characterized by distinct neutrophil-to-lymphocyte ratio (NLR), with consistent patterns in two independent datasets-one from pediatric patients and other from adults. Furthermore, after contrasting all subgroups of patients and controls, we obtained a significant and robust list of 14 TFs implicated in the dysregulation of SLE by different mechanisms and pathways. Among them, well-known regulators of SLE, such as STAT or IRF, were found, but others suggest new pathways that might have important roles in SLE.
conclusionsThese results provide a foundation to comprehend the regulatory mechanism underlying SLE and the established regulatory factors behind SLE heterogeneity that could be potential therapeutic targets.
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