Validation of a model of rheumatoid arthritis using mice reconstituted with patient peripheral blood mononuclear cells

Rheumatoid arthritis (RA) is a chronic autoimmune disease characterized by inflammation and joint destruction. Replicating human manifestations of RA in animal models remains challenging, however, owing to heterogeneity of the disease. In this study, a humanized mouse model for RA was developed and validated using NOD-scid IL2Rγnull (NSG) mice engrafted with peripheral blood mononuclear cells (PBMCs) from patients with RA (NSG-RA). RA symptoms were induced using lipopolysaccharide and a cocktail of antibodies against type II collagen. Pathological manifestations were assessed through clinical scoring of hind paw swelling, histological analysis, and evaluation of RA-specific markers in plasma and joints using Luminex, RT-PCR and RNA sequencing. NSG-RA mice exhibited increased levels of RA-specific markers, an influx of inflammatory cells into the synovium, bone erosion and elevated levels of human autoantibodies. Enriched RNA-sequencing pathway analysis revealed activation of the RA disease pathway, along with the TNF and IL-17 signalling pathways. Treatment with prednisolone or infliximab ameliorated disease symptoms and decreased levels of inflammatory markers. These findings indicate that the NSG-RA model offers a translational tool for studying RA pathogenesis and testing novel therapeutic approaches.

Authors

Institutions

Publication Details

Journal
Disease Models & Mechanisms
Published
2025-09-22
DOI
https://doi.org/10.1242/dmm.052294
Primary Topic
Monoclonal and Polyclonal Antibodies Research
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Validation of a model of rheumatoid arthritis using mice reconstituted with patient peripheral blood mononuclear cells

Roswitha Gropp, M Schindler, Silvia Schöenthaler, Paolo Alberton et al.
Disease Models & Mechanisms
Monoclonal and Polyclonal Antibodies Research
article

Validation of a model of rheumatoid arthritis using mice reconstituted with patient peripheral blood mononuclear cells

Roswitha Gropp, M Schindler, Silvia Schöenthaler, Paolo Alberton, Attila Aszódi, David E. Shaw, Matthias Siebeck, Andreas Weinhaeusel, Hendrik Schulze‐Koops, Paula Winkelmann, Veronika Weß, Morten Ø. Jensen
article en

Abstract

Rheumatoid arthritis (RA) is a chronic autoimmune disease characterized by inflammation and joint destruction. Replicating human manifestations of RA in animal models remains challenging, however, owing to heterogeneity of the disease. In this study, a humanized mouse model for RA was developed and validated using NOD-scid IL2Rγnull (NSG) mice engrafted with peripheral blood mononuclear cells (PBMCs) from patients with RA (NSG-RA). RA symptoms were induced using lipopolysaccharide and a cocktail of antibodies against type II collagen. Pathological manifestations were assessed through clinical scoring of hind paw swelling, histological analysis, and evaluation of RA-specific markers in plasma and joints using Luminex, RT-PCR and RNA sequencing. NSG-RA mice exhibited increased levels of RA-specific markers, an influx of inflammatory cells into the synovium, bone erosion and elevated levels of human autoantibodies. Enriched RNA-sequencing pathway analysis revealed activation of the RA disease pathway, along with the TNF and IL-17 signalling pathways. Treatment with prednisolone or infliximab ameliorated disease symptoms and decreased levels of inflammatory markers. These findings indicate that the NSG-RA model offers a translational tool for studying RA pathogenesis and testing novel therapeutic approaches.

Disease Models & MechanismsVol. 18(12)
AIT Austrian Institute of Technology GmbH (AT), D. E. Shaw Research (US), LMU Klinikum (DE), Institute of Molecular Biology and Biophysics (RU), Columbia University (US), Ludwig-Maximilians-Universität München (DE)
Openalex Percentile: Top 62%
Monoclonal and Polyclonal Antibodies Research
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.