狼疮性肾炎
炎症
转录组
肾炎
微阵列分析技术
系统性红斑狼疮
免疫系统
生物
免疫学
微阵列
基因表达
疾病
内科学
医学
基因
遗传学
作者
Ramalingam Bethunaickan,Céline C. Berthier,Weijia Zhang,Ridvan Eksi,Hong‐Dong Li,Yuanfang Guan,Matthias Kretzler,Anne Davidson
摘要
Objective To elucidate the molecular mechanisms involved in renal inflammation during the progression, remission, and relapse of nephritis in murine lupus models using transcriptome analysis. Methods Kidneys from (NZB × NZW)F1 (NZB/NZW) and NZM2410 mice were harvested at intervals during the disease course or after remission induction. Genome‐wide expression profiles were obtained from microarray analysis of perfused kidneys. Real‐time polymerase chain reaction (PCR) analysis for selected genes was used to validate the microarray data. Comparisons between groups using SAM, and unbiased analysis of the entire data set using singular value decomposition and self‐organizing maps were performed. Results Few changes in the renal molecular profile were detected in prenephritic kidneys, but a significant shift in gene expression, reflecting inflammatory cell infiltration and complement activation, occurred at proteinuria onset. Subsequent changes in gene expression predominantly affected mitochondrial dysfunction and metabolic stress pathways. Endothelial cell activation, tissue remodeling, and tubular damage were the major pathways associated with loss of renal function. Remission induction reversed most, but not all, of the inflammatory changes, and progression toward relapse was associated with recurrence of inflammation, mitochondrial dysfunction, and metabolic stress signatures. Conclusion Immune cell infiltration and activation is associated with proteinuria onset and is reversed by immunosuppressive therapy, but disease progression is associated with renal hypoxia and metabolic stress. Optimal therapy for lupus nephritis may therefore need to target both immune and nonimmune disease mechanisms. In addition, the overlap of a substantial subset of molecular markers with those expressed in the kidneys of lupus patients suggests potential new biomarkers and therapeutic targets.
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