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Kidney Week 2025 Annual Meeting
Histological Lessons from Modern Biopsy Cohort Stu ...
Histological Lessons from Modern Biopsy Cohort Studies
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Video Transcription
Video Summary
The session opens with housekeeping announcements about disclosures, recording availability in the ASN eLearning Center, evaluations, and room etiquette. The moderators then frame the theme: large kidney biopsy cohorts (e.g., KPMP, NEPTUNE, CureGN) are combining re-reviewed histology with digital pathology and molecular methods (spatial/proteomics, single-cell RNA-seq) to better understand kidney lesions and clinical outcomes.<br /><br />Andrew Rule (Mayo Clinic) presents quantitative morphometrics for prognostication rather than diagnosis. Using whole-slide annotation (glomeruli types, inflammation, IFTA, arteries), stereology, and CT-derived cortical/medullary measures, his group estimates nephron number and nephron size. Key points include age-related nephron loss that may occur with minimal visible sclerosis/IFTA, the value of age-adjusted “normal” thresholds, and strong outcome prediction from nephron number/size and IFTA foci density. In living donors, these measures predict post-donation GFR, albuminuria, and hypertension. In transplant recipients, imaging—especially medullary pyramid number—predicts graft failure, and “ischemic” (deflated) glomeruli and IFTA foci density outperform conventional chronicity scores. He describes AI models that automate these metrics and add features like peritubular capillaries and inflammation foci density.<br /><br />Laura Barisoni (Duke) explains computational pathology and “pathomics” to extract high-dimensional, subvisual features from segmented functional tissue units (glomeruli, tubules, interstitium, capillaries). She highlights collaborative intelligence (human + AI), discovery of new quantitative spaces (e.g., interstitial fractional space), and examples where pathomic signatures predict progression or treatment response (including IgA nephropathy), with biologic validation via gene expression.<br /><br />Niko Kozakowski (Vienna) reviews the evolving Banff concept of microvascular inflammation (MVI) in antibody-mediated rejection, including C4d-negative phenotypes, transcriptomic correlates, and emerging work on infiltrating cell types (NK, T, B/plasma cells), multiplex methods, EM insights, and AI-assisted capillaritis assessment.<br /><br />Kerry Phillips (Indiana) discusses 2D/3D visualization of glomerular neovascularization (“polar vasculosis,” “hairy glomeruli”)—common in diabetes but also other diseases—its potential adaptive role, links to angiogenic signals, and possible modulation by SGLT2 inhibitors, emphasizing how AI can also quantify inter-pathologist scoring variation.
Asset Subtitle
Moderator(s):
Shana Coley, Vanessa Moreno
Presentation(s):
Quantitative Morphometrics and Nomograms for Predicting Kidney Transplant Outcomes
- Andrew Rule
Applying Advanced Computational Analysis from NEPTUNE, CureGN, and KPMP Biopsies to Clinical Practice
- Laura Barisoni
Patterns of Microvascular Inflammation in Kidney Transplantation and Emerging Implications
- Nicolas Kozakowski
Novel Vascular Lesion in Diabetes Glomerulopathy
- Carrie Phillips
Meta Tag
Date
11/8/2025
Pathway 1
Pathology
Pathway 2
Kidney Biology and Physiology
Session ID
507884
Keywords
kidney biopsy cohorts
KPMP
NEPTUNE
CureGN
digital pathology
spatial proteomics
single-cell RNA sequencing
quantitative morphometrics
nephron number estimation
IFTA foci density
whole-slide imaging annotation
AI-assisted pathology
pathomics
microvascular inflammation Banff
glomerular neovascularization polar vasculosis
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