Fibrotic remodeling in the NOD/ShiLtJ mouse model of Sjögren’s disease: insights from single-cell transcriptomics and AI-driven ECM quantification - Summary - MDSpire
Advertisement
Exploring Fibrotic Changes in the NOD/ShiLtJ Mouse Model of Sjögren’s Disease: Insights from Single-Cell Transcriptomics and AI-Enhanced ECM Analysis
To evaluate the NOD/ShiLtJ mouse model for salivary gland fibrosis in the context of Sjögren's disease and assess the impact of antifibrotic therapy on extracellular matrix remodeling.
Approach:
Model Evaluation: Utilized the NOD/ShiLtJ mouse model to study salivary gland fibrosis associated with Sjögren's disease.
Therapeutic Assessment: Administered nintedanib, an FDA-approved antifibrotic agent, to evaluate its effects on fibrosis in the context of Sjögren's disease.
Fibrosis Assessment: Employed single-cell RNA sequencing to identify ECM gene expression, Picrosirius red staining, and AI-assisted digital pathology for quantification of collagen I.
Key Findings:
Fibroblast populations in NOD/ShiLtJ mice showed increased expression of ECM genes, including Col1a1, Col1a2, and Col3a1, compared to controls.
Significant fibrotic remodeling was observed in the periacinar ECM of submandibular glands.
Fibrosis severity correlated with the diabetic phenotype and progressed with age.
Nintedanib treatment resulted in modest reductions in multiple fibrotic indices.
Interpretation:
The NOD/ShiLtJ mouse model demonstrates characteristics of SjD-associated salivary gland fibrosis, supporting antifibrotic strategies as a potential therapeutic approach.
Limitations:
The study primarily focuses on a mouse model, which may not fully replicate the complexities of human Sjögren's disease.
The effects of nintedanib were modest and may require further investigation to establish clinical relevance.
Conclusion:
The findings provide evidence supporting the exploration of antifibrotic therapies for salivary gland dysfunction in Sjögren's disease.
by Jennifer M. Morrissey, Deirdre A. Nelson, Li Chen, Mathieu Petitjean, Joey R. Tavarez, Amber L. Altrieth-Flagg, Nicholas L. Moskwa, Renae Williams-Atkinson, Ben Fowler, Rafael Pena, Kennedi Weston, Nikhita Kumar, Nathan Aist, Melinda Larsen