
Lawrence B. Holzman
VerifiedUniversity of Pennsylvania · Rehabilitation Medicine
Active 1952–2024
Research topics
- Pathology
- Medicine
- Artificial Intelligence
- Urology
- Internal medicine
- Computer Science
- Anatomy
- Radiology
Selected publications
Journal of the American Society of Nephrology · 2022 · 50 citations
- Medicine
- Pathology
- Radiology
BACKGROUND: Heterogeneity in disease course and treatment response among patients with MCD/FSGS necessitates a granular evaluation of kidney tissue features. This study aimed to identify histologic and ultrastructural descriptors of structural changes most predictive of clinical outcomes in the Nephrotic Syndrome Study Network (NEPTUNE). METHODS: Forty-eight histologic (37 glomerular, 9 tubulointerstitial, 2 vascular) and 20 ultrastructural descriptors were quantified by applying the NEPTUNE Digital Pathology Scoring System to NEPTUNE kidney biopsies. Outcomes included time from biopsy to disease progression, first complete remission of proteinuria, and treatment response. Relative importance of pathology and clinical predictors was obtained from random forest models, and predictive discrimination was assessed. RESULTS: , global sclerosis or segmental sclerosis and interstitial fibrosis/tubular atrophy-and novel features, including adhesion, interstitial foam cells, deflation, periglomerular fibrosis, mononuclear white blood cells, endothelial cell abnormalities, microvillous transformation, and acute tubular injury. CONCLUSIONS: The most predictive descriptors of clinical outcomes among MCD/FSGS patients reflected structural changes in multiple renal compartments. Reporting these descriptors should be standardized to guide prognostication of proteinuric glomerular diseases.
Kidney International · 2020 · 193 citations
- Artificial Intelligence
- Computer Science
- Pathology
Ultrastructural Characterization of Proteinuric Patients Predicts Clinical Outcomes
Journal of the American Society of Nephrology · 2020 · 44 citations
- Medicine
- Internal medicine
- Pathology
BACKGROUND: The analysis and reporting of glomerular features ascertained by electron microscopy are limited to few parameters with minimal predictive value, despite some contributions to disease diagnoses. METHODS: , or ESKD), and linear mixed models for longitudinal eGFR measures. RESULTS: Intrarater and interrater reproducibility was >0.60 for 12 out of 12 and seven out of 12 descriptors, respectively. Individual podocyte descriptors such as effacement and microvillous transformation were associated with complete remission, whereas endothelial cell and glomerular basement membrane abnormalities were associated with progression. We identified six descriptor-based clusters with distinct electron microscopy profiles and clinical outcomes. Patients in a cluster with more prominent foot process effacement and microvillous transformation had the highest rates of complete proteinuria remission, whereas patients in clusters with extensive loss of primary processes and endothelial cell damage had the highest rates of the composite progression outcome. CONCLUSIONS: Systematic analysis of electron microscopic findings reveals clusters of findings associated with either proteinuria remission or disease progression.
Recent grants
NIH · $2.4M · 2008
Slit Diaphragm and Actin Dynamics
NIH · $3.6M · 2008–2018
NIH · $11.2M · 1975–2025
Primary Outcomes in Glomerulonephritis Study (PROGRESS)
NIH · $5.8M · 2013–2019
NIH · $14.8M · 2009
Frequent coauthors
- 234 shared
Jarcy Zee
Children's Hospital of Philadelphia
- 201 shared
Laura Barisoni
Duke University
- 177 shared
Michelle Hladunewich
The Ohio State University Wexner Medical Center
- 176 shared
John R. Sedor
- 176 shared
Laura Mariani
University of Colorado Denver
- 163 shared
Matthias Kretzler
Michigan United
- 162 shared
Sharon G. Adler
- 159 shared
Heather N. Reich
University of Toronto
- Resume-aware match score
- Save to shortlist
- AI-drafted outreach
See your match with Lawrence B. Holzman
PhdFit ranks faculty by your research interests, methods, and publications — grounded in their actual work, not templates.
- Free to start
- No credit card
- 30-second signup