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Abstract Number: 1136

Stratification of Systemic Lupus Erythematosus (SLE) Patients Based on the Molecular Patterns of Mouse Models

Maria Rivas Torrubia, Maria Morell, Marta Alarcon-Riquelme and Guillermo Barturen, Center for Genomics and Oncological Research (GENYO), Granada, Spain

Meeting: ACR Convergence 2022

Keywords: Animal Model, Bioinformatics, Gene Expression, Mouse Models, Lupus, Systemic lupus erythematosus (SLE)

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Session Information

Date: Sunday, November 13, 2022

Title: Genetics, Genomics and Proteomics Poster

Session Type: Poster Session C

Session Time: 1:00PM-3:00PM

Background/Purpose: Systemic lupus erythematosus (SLE) is an autoimmune, chronic and multisystemic autoimmune disorder, which typically affects women and presents high severity and mortality. It is characterized by the loss of self-tolerance, and both innate and adaptive immune systems contribute to its progression. SLE is considered a multifactorial disease as genetic, hormonal and environmental factors have been shown to contribute to its pathogenesis. Mouse models have helped to understand the molecular mechanisms behind SLE and are commonly used to test new pharmaceutical compounds. However, the phenotype and molecular heterogeneity of SLE in humans limits its mimicking in animal models. Thus, we hypothesized that different mouse models might mimic better than others specific subgroups of SLE patients at the molecular level. The aim of this study is to characterize and compare different spontaneous mouse models at the molecular level and compare them with subgroups of human SLE patients.

Methods: Four mouse models (MRL/lpr, NZB/W, BXSB.Yaa, and TLR7.Tg) were analyzed along four time points, including their respective genetic controls. The transcriptome (RNA-Seq) and cell proportions (flow cytometry) of the spleen, as well as numerous cytokines and autoantibodies in the serum were profiled. In addition, the molecular landscape of the mouse models was compared to SLE patients from the PRECISESADS project cohort.

Results: Specific and shared molecular pathways were identified across the four mouse models. For example, upregulation of pathways related to neutrophils was shared by all models. On the other hand, MRL/lpr, BXSB.Yaa, TLR7.Tg shared the upregulation of monocyte related genes, while antigen presentation was only observed downregulated in the MRL/lpr mouse models. In addition, shared molecular pathways were dysregulated at different time points during the development of the phenotype. As hypothesized, specific subgroups of SLE patients showed much closer molecular similarities to specific mouse models than others thus allowing to stratify SLE patients based on the mouse models’ dysregulated pathways.

Conclusion: The results from this study constitute a molecular benchmark for future SLE mouse model studies. Relevant information is given about the choice of the model (out of the four included in the study), regarding the molecular pathway to be studied, and also about the time point when samples should be collected. In addition, different animal models at different stages present higher functional similarities with some subgroups of SLE patients than with others, which might improve the future translation of animal model results to the human disease.


Disclosures: M. Rivas Torrubia, None; M. Morell, None; M. Alarcon-Riquelme, None; G. Barturen, None.

To cite this abstract in AMA style:

Rivas Torrubia M, Morell M, Alarcon-Riquelme M, Barturen G. Stratification of Systemic Lupus Erythematosus (SLE) Patients Based on the Molecular Patterns of Mouse Models [abstract]. Arthritis Rheumatol. 2022; 74 (suppl 9). https://acrabstracts.org/abstract/stratification-of-systemic-lupus-erythematosus-sle-patients-based-on-the-molecular-patterns-of-mouse-models/. Accessed .
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