Quantification of Glomerular Structural Lesions: Associations With Clinical Outcomes and Transcriptomic Profiles in Nephrotic Syndrome.
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.
['Hodgin|Jeffrey B|JB|', 'Mariani|Laura H|LH|', 'Zee|Jarcy|J|', 'Liu|Qian|Q|', 'Smith|Abigail R|AR|', 'Eddy|Sean|S|', 'Hartman|John|J|', 'Hamidi|Habib|H|', 'Gaut|Joseph P|JP|', 'Palmer|Matthew B|MB|', 'Nast|Cynthia C|CC|', 'Chang|Anthony|A|', 'Hewitt|Stephen|S|', 'Gillespie|Brenda W|BW|', 'Kretzler|Matthias|M|', 'Holzman|Lawrence B|LB|', 'Barisoni|Laura|L|', '|||']
clinical outcomes transcriptomics nephrotic syndrome proteinuria gene expression glomerular disease molecular analysis morphologic features renal pathology