Systemic lupus erythematosus pathogenesis: interferon and beyond

S Caielli, Z Wan, V Pascual - Annual Review of Immunology, 2023 - annualreviews.org
Autoreactive B cells and interferons are central players in systemic lupus erythematosus
(SLE) pathogenesis. The partial success of drugs targeting these pathways, however …

Pathogenesis of systemic lupus erythematosus: risks, mechanisms and therapeutic targets

MK Crow - Annals of the rheumatic diseases, 2023 - ard.bmj.com
Research elucidating the pathogenesis of systemic lupus erythematosus (SLE) has defined
two critical families of mediators, type I interferon (IFN-I) and autoantibodies targeting nucleic …

[PDF][PDF] Efficacy, safety, and pharmacodynamic effects of the Bruton's tyrosine kinase inhibitor fenebrutinib (GDC‐0853) in systemic lupus erythematosus: results of a …

D Isenberg, R Furie, NS Jones, P Guibord… - Arthritis & …, 2021 - Wiley Online Library
Objective Fenebrutinib (GDC‐0853) is a noncovalent, oral, and highly selective inhibitor of
Bruton's tyrosine kinase (BTK). The efficacy, safety, and pharmacodynamics of fenebrutinib …

The promise of precision medicine in rheumatology

JM Guthridge, CA Wagner, JA James - Nature medicine, 2022 - nature.com
Systemic autoimmune rheumatic diseases (SARDs) exhibit extensive heterogeneity in
clinical presentation, disease course, and treatment response. Therefore, precision …

[PDF][PDF] Dimensionality reduction by UMAP reinforces sample heterogeneity analysis in bulk transcriptomic data

Y Yang, H Sun, Y Zhang, T Zhang, J Gong, Y Wei… - Cell reports, 2021 - cell.com
Transcriptomic analysis plays a key role in biomedical research. Linear dimensionality
reduction methods, especially principal-component analysis (PCA), are widely used in …

An introduction to machine learning and analysis of its use in rheumatic diseases

KM Kingsmore, CE Puglisi, AC Grammer… - Nature Reviews …, 2021 - nature.com
Abstract Machine learning (ML) is a computerized analytical technique that is being
increasingly employed in biomedicine. ML often provides an advantage over explicitly …

[HTML][HTML] Artificial intelligence-driven drug development against autoimmune diseases

P Moingeon - Trends in Pharmacological Sciences, 2023 - cell.com
Artificial intelligence (AI)-based predictive models are being used to foster a precision
medicine approach to treat complex chronic diseases such as autoimmune and …

[HTML][HTML] Clinical disease activity and flare in SLE: Current concepts and novel biomarkers

A Thanou, E Jupe, M Purushothaman, TB Niewold… - Journal of …, 2021 - Elsevier
Systemic lupus erythematosus (SLE) is a complex and heterogeneous systemic
autoimmune disease associated with innate and adaptive immune dysregulation. SLE …

Scoring personalized molecular portraits identify Systemic Lupus Erythematosus subtypes and predict individualized drug responses, symptomatology and disease …

D Toro-Domínguez, J Martorell-Marugán… - Briefings in …, 2022 - academic.oup.com
Abstract Objectives Systemic Lupus Erythematosus is a complex autoimmune disease that
leads to significant worsening of quality of life and mortality. Flares appear unpredictably …

[HTML][HTML] Patient ancestry significantly contributes to molecular heterogeneity of systemic lupus erythematosus

MD Catalina, P Bachali, AE Yeo, NS Geraci, MA Petri… - JCI insight, 2020 - ncbi.nlm.nih.gov
Gene expression signatures can stratify patients with heterogeneous diseases, such as
systemic lupus erythematosus (SLE), yet understanding the contributions of ancestral …