Hodgin Jeffrey B, Mariani Laura H, Zee Jarcy, Liu Qian, Smith Abigail R, Eddy Sean, Hartman John, Hamidi Habib, Gaut Joseph P, Palmer Matthew B, Nast Cynthia C, Chang Anthony, Hewitt Stephen, Gillespie Brenda W, Kretzler Matthias, Holzman Lawrence B, Barisoni Laura
Renal Pathology, Department of Pathology, University of Michigan, Ann Arbor, Michigan.
Division of Nephrology, Department of Internal Medicine, University of Michigan, Ann Arbor, Michigan.
Am J Kidney Dis. 2022 Jun;79(6):807-819.e1. doi: 10.1053/j.ajkd.2021.10.004. Epub 2021 Dec 3.
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.
Prospective observational cohort study.
SETTING & PARTICIPANTS: 221 MCD and FSGS patients enrolled in the Nephrotic Syndrome Study Network (NEPTUNE).
The NEPTUNE Digital Pathology Scoring System (NDPSS) was applied to generate scores for 37 glomerular descriptors.
Time from biopsy to complete proteinuria remission, time from biopsy to kidney disease progression (40% estimated glomerular filtration rate [eGFR] decline or kidney failure), and eGFR over time.
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.
Three clusters were identified: X (n = 56), Y (n = 68), and Z (n = 97). Clusters Y and Z had higher probabilities of proteinuria remission (HRs of 1.95 [95% CI, 0.99-3.85] and 3.29 [95% CI, 1.52-7.13], respectively), lower hazards of disease progression (HRs of 0.22 [95% CI, 0.08-0.57] and 0.11 [95% CI, 0.03-0.45], respectively), and lower loss of eGFR over time compared with X. Cluster X had 1,920 genes that were differentially expressed compared with Y+Z; these reflected activation of pathways of immune response and inflammation. Six descriptors driving the clusters individually correlated with clinical outcomes and gene expression.
Low prevalence of some descriptors and biopsy at a single time point.
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.
目前局灶节段性肾小球硬化(FSGS)和微小病变病(MCD)的分类系统未能充分体现肾活检中复杂的结构变化,也未涵盖这些疾病的临床和分子异质性。
前瞻性观察队列研究。
221例FSGS和MCD患者纳入肾病综合征研究网络(NEPTUNE)。
应用NEPTUNE数字病理评分系统(NDPSS)对37个肾小球描述符进行评分。
从活检到蛋白尿完全缓解的时间、从活检到肾病进展(估计肾小球滤过率[eGFR]下降40%或肾衰竭)的时间以及随时间变化的eGFR。
采用聚类分析对形态学特征相似的患者进行分组。使用校正后的Cox模型和线性混合模型评估肾小球描述符和患者聚类与结局的关联。利用肾小球组织的信使RNA评估聚类间差异表达基因,并识别与驱动聚类成员的个体描述符相关的基因。
识别出三个聚类:X(n = 56)、Y(n = 68)和Z(n = 97)。与X聚类相比,Y和Z聚类蛋白尿缓解的概率更高(风险比分别为1.95 [95%置信区间,0.99 - 3.85]和3.29 [95%置信区间,1.52 - 7.13]),疾病进展的风险更低(风险比分别为0.22 [95%置信区间,0.08 - 0.57]和0.11 [95%置信区间,0.03 - 0.45]),且随时间推移eGFR的下降幅度更小。与Y + Z聚类相比,X聚类有1920个基因差异表达;这些基因反映了免疫反应和炎症途径的激活。驱动聚类的六个描述符分别与临床结局和基因表达相关。
某些描述符的患病率较低且仅在单一时间点进行活检。
NDPSS可将FSGS/MCD患者分类为具有临床和生物学相关性的亚组,并揭示与临床结局相关的组织学参数以及当前分类系统未纳入的分子特征。