101. Deep learning-based molecular morphometrics for kidney biopsies
- Author
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Marina Zimmermann, Victor G. Puelles, Christoph Kuppe, Martin Klaus, Elion Hoxha, Jennifer Kranz, Thorsten Wiech, Maurice Halder, Christian Krebs, Fabian Braun, Rafael Kramann, Lukas Gernhold, Stefan Bonn, Nicola Wanner, Ann-Katrin Thebille, Tobias B. Huber, Milagros N. Wong, Sonia Wulf, Ulf Panzer, and Internal Medicine
- Subjects
0301 basic medicine ,Nephrology ,medicine.medical_specialty ,Pathology ,Bioinformatics ,Biopsy ,Renal function ,Anti-Neutrophil Cytoplasmic Antibody-Associated Vasculitis ,Kidney ,Podocyte ,03 medical and health sciences ,Deep Learning ,0302 clinical medicine ,SDG 3 - Good Health and Well-being ,Internal medicine ,Image Processing, Computer-Assisted ,Humans ,Medicine ,In patient ,Diagnosis, Computer-Assisted ,Molecular pathology ,Morphometrics ,Pathology, Clinical ,Podocytes ,business.industry ,Glomerulonephritis ,General Medicine ,medicine.disease ,030104 developmental biology ,medicine.anatomical_structure ,Technical Advance ,Case-Control Studies ,030220 oncology & carcinogenesis ,business - Abstract
Morphologic examination of tissue biopsies is essential for histopathological diagnosis. However, accurate and scalable cellular quantification in human samples remains challenging. Here, we present a deep learning-based approach for antigen-specific cellular morphometrics in human kidney biopsies, which combines indirect immunofluorescence imaging with U-Net- based architectures for image-to-image translation and dual segmentation tasks, achieving human-level accuracy. In the kidney, podocyte loss represents a hallmark of glomerular injury and can be estimated in diagnostic biopsies. Thus, we profiled over 27,000 podocytes from 110 human samples, including patients with antineutrophil cytoplasmic antibody-associated glomerulonephritis (ANCA-GN), an immune-mediated disease with aggressive glomerular damage and irreversible loss of kidney function. We identified previously unknown morphometric signatures of podocyte depletion in patients with ANCA-GN, which allowed patient classification and, in combination with routine clinical tools, showed potential for risk stratification. Our approach enables robust and scalable molecular morphometric analysis of human tissues, yielding deeper biological insights into the human kidney pathophysiology.
- Published
- 2021