AIMC Topic: Podocytes

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AI-driven glomerular morphology quantification: a novel pipeline for assessing basement membrane thickness and podocyte foot process effacement in kidney diseases.

Computer methods and programs in biomedicine May 7, 2025
BACKGROUND AND OBJECTIVE: Measuring the thickness of the glomerular basement membrane (GBM) and assessing the percentage of podocyte foot process effacement (%PFPE) are important for diagnosing non-neoplastic kidney diseases. However, when performed ...
Humans Biopsy Glomerular Basement Membrane Kidney Glomerulus Microscopy, Electron Image Processing, Computer-Assisted Podocytes Kidney Diseases Algorithms Deep Learning
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A new era in nephrology: the role of super-resolution microscopy in research, medical diagnostic, and drug discovery.

Kidney international Mar 24, 2025
For decades, electron microscopy has been the primary method to visualize ultrastructural details of the kidney, including podocyte foot processes and the slit diaphragm. Despite its status as the gold standard, electron microscopy has significant li...
Animals Drug Discovery Humans Nephrology Microscopy, Electron Podocytes Imaging, Three-Dimensional Kidney Diseases
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Deep learning-based segmentation and quantification of podocyte foot process morphology suggests differential patterns of foot process effacement across kidney pathologies.

Kidney international Mar 27, 2023
Morphological alterations at the kidney filtration barrier increase intrinsic capillary wall permeability resulting in albuminuria. However, automated, quantitative assessment of these morphological changes has not been possible with electron or ligh...
Glomerulosclerosis, Focal Segmental Podocytes Kidney Diseases Kidney Glomerulus Mice Kidney Animals Deep Learning
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Three-Dimensional Visualization of the Podocyte Actin Network Using Integrated Membrane Extraction, Electron Microscopy, and Machine Learning.

Journal of the American Society of Nephrology : JASN Nov 10, 2021
BACKGROUND: Actin stress fibers are abundant in cultured cells, but little is known about them . In podocytes, much evidence suggests that mechanobiologic mechanisms underlie podocyte shape and adhesion in health and in injury, with structural change...
Machine Learning Animals Microscopy, Electron Actin Cytoskeleton Mice, Inbred C57BL Podocytes Imaging, Three-Dimensional Models, Animal Mice
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Deep learning-based molecular morphometrics for kidney biopsies.

JCI insight Apr 8, 2021
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...
Pathology, Clinical Podocytes Diagnosis, Computer-Assisted Biopsy Deep Learning Anti-Neutrophil Cytoplasmic Antibody-Associated Vasculitis Humans Image Processing, Computer-Assisted Case-Control Studies Kidney
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Identification of glomerular lesions and intrinsic glomerular cell types in kidney diseases via deep learning.

The Journal of pathology Jul 7, 2020
Identification of glomerular lesions and structures is a key point for pathological diagnosis, treatment instructions, and prognosis evaluation in kidney diseases. These time-consuming tasks require a more accurate and reproducible quantitative analy...
Mesangial Cells Podocytes Kidney Glomerulus Glomerulonephritis, IGA Male Deep Learning Female Humans Diagnosis, Computer-Assisted Kidney Diseases Adult Neural Networks, Computer
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Identification of novel therapeutic targets in hepatitis-B virus-associated membranous nephropathy using scRNA-seq and machine learning.

Scientific reports May 29, 2025
Hepatitis B Virus-associated membranous nephropathy (HBV-MN) significantly impacts renal health, particularly in areas with high HBV prevalence. Understanding the molecular mechanisms underlying HBV-MN is crucial for developing effective therapeutic ...
Single-Cell Analysis RNA-Seq Hepatitis B virus Hepatitis B Glomerulonephritis, Membranous Podocytes Single-Cell Gene Expression Analysis MicroRNAs Humans Machine Learning
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