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Morphometric analysis of the thymic epithelial cell network using integrated and orthogonal digital pathology
Maria K Lagou1,2,3, Maria P Markaki4, Stepan Vodopyanov1,2
1Department of Microbiology and Immunology, Albert Einstein College of Medicine, Bronx, NY, USA.
Insights
A new digital pathology pipeline offers standardized methods for evaluating thymus structure and function. This tool quantifies thymic changes in aging and disease models, aiding immune competence research.
Area of Science:
- Immunology
- Pathology
- Computational Biology
Background:
- The thymus is critical for T cell development, but lacks standardized pathology methods for assessing its structure and function.
- Current methods like flow cytometry offer limited spatial insights into thymic tissue organization, hindering understanding of disease impacts.
Purpose of the Study:
- To introduce a novel digital pathology pipeline for quantitative, multi-level assessment of thymic architecture.
- To validate the pipeline using age-dependent thymic involution and a carcinogenesis model with environmental exposure.
Main Methods:
- Development of a digital pathology pipeline integrating analytical algorithms and morphometric assessments.
- Application of the pipeline to mouse models of thymic involution and DMBA-induced carcinogenesis with cholera toxin (CT) exposure.
Main Results:
- The pipeline successfully quantified known lesions in thymic involution, demonstrating reproducibility.
- Cholera toxin (CT) exposure partially normalized thymic parameters in the carcinogenesis model, including medullary perivascular space and mTEC density.
Conclusions:
- The developed pipeline provides a versatile and scalable framework for standardized quantitative evaluation of thymic structure.
- This approach supports basic and translational research in thymic biology, immunity, and disease.
Abstract:
The thymus, a central organ for T cell development, lacks standardized pathology methods to assess its structure and function. Most studies rely on flow cytometry, which profiles thymic cell populations but offers limited spatial insight into tissue organization. This gap restricts our understanding of how physiological or pathological conditions remodel thymic architecture and impact immune competence. Here, we introduce a digital pathology pipeline that integrates analytical algorithms with rationalized morphometric assessments at tissue-wide, microanatomical, and ultrastructural levels. We develop and validate it using a mouse model of age-dependent thymic involution, characterized by cortical atrophy, medullary expansion, and epithelial disorganization, providing a benchmark for quantifying known lesions and testing reproducibility. As a proof-of-concept, we apply the pipeline to a DMBA-induced carcinogenesis model combined with early-life cholera toxin (CT) exposure, to evaluate whether environmental stimulation ("hygiene hypothesis") mitigates late-stage thymic pathology. CT normalizes select parameters, particularly in the medulla, including reduced perivascular space and mTEC density, suggesting enhanced thymocyte occupancy. Overall, this versatile and scalable pipeline provides a standardized framework for quantitative evaluation of thymic structure, supporting both basic and translational studies of thymic biology and disease.
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