Rheumatology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA.
Nephrology and Hypertension, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA.
Rheumatology (Oxford). 2019 Feb 1;58(2):321-330. doi: 10.1093/rheumatology/key301.
We used an unbiased proteomics approach to identify candidate urine biomarkers (CUBMs) predictive of LN chronicity and pursued their validation in a larger cohort.
In this cross-sectional pilot study, we selected urine collected at kidney biopsy from 20 children with varying levels of LN damage (discovery cohort) and performed proteomic analysis using isobaric tags for relative and absolute quantification (iTRAQ). We identified differentially excreted proteins based on degree of LN chronicity and sought to distinguish markers exhibiting different relative expression patterns using hierarchically clustered log10-normalized relative abundance data with linked and distinct functions by biological network analyses. For each CUBM, we performed specific ELISAs on urine from a validation cohort (n = 41) and analysis of variance to detect differences between LN chronicity, with LN activity adjustment. We evaluated for CUBM expression in LN biopsies with immunohistochemistry.
iTRAQ detected 112 proteins in urine from the discovery cohort, 51 quantifiable in all replicates. Simple analysis of variance revealed four differentially expressed, chronicity-correlated proteins (P-values < 0.05). Further correlation and network analyses led to selection of seven CUBMs for LN chronicity. In the validation cohort, none of the CUBMs distinguished LN chronicity degree; however, urine SERPINA3 demonstrated a moderate positive correlation with LN histological activity. Immunohistochemistry further demonstrated SERPINA3 staining in proximal tubular epithelial and endothelial cells.
We identified SERPINA3, a known inhibitor of neutrophil cathepsin G and angiotensin II production, as a potential urine biomarker to help quantify LN activity.
我们采用无偏蛋白质组学方法鉴定预测 LN 慢性化的候选尿生物标志物(CUBM),并在更大的队列中进行验证。
在这项横断面研究中,我们选择了来自 20 名 LN 损伤程度不同的儿童肾活检时采集的尿液(发现队列),并使用等重标记相对和绝对定量(iTRAQ)进行蛋白质组学分析。我们根据 LN 慢性程度确定了差异分泌蛋白,并试图使用具有链接和不同功能的层次聚类对数 10 标准化相对丰度数据区分表现出不同相对表达模式的标记物,这些数据来自于生物网络分析。对于每个 CUBM,我们在验证队列(n=41)的尿液中进行了特定的 ELISA,并进行方差分析以检测 LN 慢性程度之间的差异,同时调整 LN 活性。我们通过免疫组织化学评估了 LN 活检中 CUBM 的表达情况。
iTRAQ 在发现队列的尿液中检测到 112 种蛋白质,其中 51 种在所有重复中均可定量。简单方差分析显示了 4 种差异表达、与慢性相关的蛋白质(P 值<0.05)。进一步的相关性和网络分析导致选择了 7 种 CUBM 用于 LN 慢性程度。在验证队列中,没有一种 CUBM 能够区分 LN 慢性程度;然而,尿液 SERPINA3 与 LN 组织学活性呈中度正相关。免疫组织化学进一步显示 SERPINA3 在近端肾小管上皮细胞和内皮细胞中染色。
我们鉴定出 SERPINA3 作为一种潜在的尿液生物标志物,用于帮助量化 LN 活性,SERPINA3 是一种已知的中性粒细胞组织蛋白酶 G 和血管紧张素 II 产生的抑制剂。