Quantification of Glomerular Structural Lesions: Associations With Clinical Outcomes and Transcriptomic Profiles in Nephrotic Syndrome
| Autor: | Jeffrey B. Hodgin, Laura H. Mariani, Jarcy Zee, Qian Liu, Abigail R. Smith, Sean Eddy, John Hartman, Habib Hamidi, Joseph P. Gaut, Matthew B. Palmer, Cynthia C. Nast, Anthony Chang, Stephen Hewitt, Brenda W. Gillespie, Matthias Kretzler, Lawrence B. Holzman, Laura Barisoni, K. Dell, J. Sedor, M. Schachere, J. Negrey, K. Lemley, E. Lim, T. Srivastava, A. Garrett, C. Sethna, K. Laurent, P. Canetta, A. Pradhan, L. Greenbaum, C. Wang, C. Kang, S. Adler, J. LaPage, A. Athavale, M. Itteera, M. Atkinson, S. Boynton, F. Fervenza, M. Hogan, J. Lieske, V. Chernitskiy, F. Kaskel, M. Ross, P. Flynn, J. Kopp, J. Blake, H. Trachtman, O. Zhdanova, F. Modersitzki, S. Vento, M. Bray, M. Kelton, A. Cooper, R. Lafayette, K. Mehta, C. Gadegbeku, S. Quinn-Boyle, M. Hladunewich, H. Reich, P. Ling, M. Romano, A. Fornoni, C. Bidot, M. Kretzler, D. Gipson, A. Williams, J. LaVigne, V. Derebail, K. Gibson, E. Cole, J. Ormond-Foster, L. Holzman, K. Meyers, K. Kallem, A. Swenson, K. Sambandam, Z. Wang, M. Rogers, A. Jefferson, S. Hingorani, K. Tuttle, J.J. Lin, L. Barisoni, J. Bixler, H. Desmond, S. Eddy, D. Fermin, B. Gillespie, V. Kurtz, M. Larkina, J. Lavigne, S. Li, C.C. Lienczewski, J. Liu, T. Mainieri, L. Mariani, M. Sampson, A. Smith, J. Zee, Carmen Avila-Casado, Serena Bagnasco, Joseph Gaut, Jeff Hodgin, Kevin Lemley, Laura Mariani, Matthew Palmer, Avi Rosenberg, Virginie Royal, David Thomas, Cynthia Nast |
|---|---|
| Rok vydání: | 2022 |
| Předmět: |
Oncology
medicine.medical_specialty Nephrotic Syndrome Focal segmental glomerulosclerosis Internal medicine Biopsy Humans Medicine Minimal change disease Prospective Studies Proteinuria medicine.diagnostic_test Glomerulosclerosis Focal Segmental business.industry Proportional hazards model Nephrosis Lipoid Prognosis medicine.disease Renal pathology Nephrology Disease Progression Kidney Diseases medicine.symptom Transcriptome business Nephrotic syndrome Kidney disease |
| Zdroj: | American Journal of Kidney Diseases. 79:807-819.e1 |
| ISSN: | 0272-6386 |
| Popis: | Rationale & Objective The current classification system for focal segmental glomerulosclerosis (FSGS) and minimal change disease (MCD) does not fully capture the complex structural changes in kidney biopsies, nor the clinical and molecular heterogeneity of these diseases. Study Design Prospective observational cohort study. Setting & Participants N=221 MCD and FSGS patients enrolled in the Nephrotic Syndrome Study Network (NEPTUNE). Exposures The NEPTUNE Digital Pathology Scoring System (NDPSS) was applied to generate scores for 37 glomerular descriptors. Outcomes Time from biopsy to complete proteinuria remission, time from biopsy to kidney disease progression (40% eGFR decline or kidney failure), and eGFR over time. Analytical Approach Cluster analysis was used to group patients with similar morphologic characteristics. Glomerular descriptors and patient clusters were assessed for associations with outcomes using adjusted Cox models and linear mixed models. Messenger RNA from glomerular tissue was used to assess differentially expressed genes between clusters and identify genes associated with individual descriptors driving cluster membership. Results Three clusters were identified: X (N=56), Y (N=68), and Z (N=97). Clusters Y and Z had higher probabilities of proteinuria remission (HR [95% CI]= 1.95 [0.99, 3.85] and 3.29 [1.52, 7.13], respectively), lower hazards of disease progression 0.22 [0.08, 0.57] and 0.11 [0.03, 0.45], respectively), and lower loss of eGFR over time compared with X. Cluster X had 1920 differentially expressed genes compared to Y+Z, which reflected activation of pathways of immune response and inflammation. Six descriptors driving the clusters individually correlated with clinical outcomes and gene expression. Limitations Low prevalence of some descriptors and biopsy at a single time point. Conclusions The NDPSS allows for categorization of FSGS/MCD patients into clinically and biologically relevant subgroups, and uncovers histologic parameters associated with clinical outcomes and molecular signatures not included in current classification systems. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|