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Tubulointerstitial diseases: an updated framework for diverse and emerging entities
1Department of Pathology and Laboratory Medicine and Department of Medicine, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada.
This review updates the classification of tubulointerstitial diseases (TIN) into eight categories. New diagnostic tools and collaborative efforts are crucial for personalized medicine in nephrology.
Area of Science:
- Nephrology
- Pathology
- Immunology
Background:
- Tubulointerstitial diseases (TIN) are a diverse group of kidney disorders lacking specific classification.
- Advances in personalized medicine necessitate greater diagnostic precision for TIN.
- Existing classifications struggle with overlapping histopathologic and immunophenotypic patterns.
Purpose of the Study:
- To provide an updated etiologic framework for tubulointerstitial nephritis/nephropathy (TIN) and tubular injury.
- To highlight recently identified TIN entities and their diagnostic evolution.
- To discuss the role of emerging technologies in refining TIN classification and diagnosis.
Main Methods:
- Literature review of tubulointerstitial diseases.
- Synthesis of current understanding of TIN etiology and classification.
- Discussion of novel TIN entities and future diagnostic approaches.
Main Results:
- An updated etiologic framework for TIN is proposed with eight categories: drug effect, autoimmune/immune-mediated, infection-associated, hereditary/genetic, toxic/metabolic, monoclonal protein-associated, mimics of TIN, and idiopathic/other.
- Recently described TIN entities, including immune checkpoint inhibitor-associated TIN, IgG4-related TIN, IgM plasma cell TIN, and VEXAS syndrome, are highlighted.
- The evolution of IgG4-related TIN serves as a model for recognizing new TIN entities.
Conclusions:
- Greater diagnostic precision in TIN is achievable and essential for personalized nephrology.
- Emerging technologies like digital pathology and AI hold promise for refining TIN classification and diagnostics.
- Collaborative efforts are vital to translate advancements into clinical practice for improved patient outcomes.
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