Khoza Siyabonga, George Jaya A, Naicker Previn, Stoychev Stoyan H, Fabian June, Govender Ireshyn S
Department of Chemical Pathology, National Health Laboratory Service and School of Pathology, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg 2000, South Africa.
Wits Diagnostic Innovation Hub, University of the Witwatersrand, Johannesburg 2000, South Africa.
Biology (Basel). 2024 Aug 30;13(9):680. doi: 10.3390/biology13090680.
Albuminuria may precede decreases in the glomerular filtration rate (GFR) and both tests are insensitive predictors of early stages of kidney disease. Our aim was to characterise the urinary proteome in black African individuals with albuminuria and well-preserved GFR from South Africa. This case-controlled study compared the urinary proteomes of 52 normoalbuminuric (urine albumin: creatinine ratio (uACR) < 3 mg/mmol) and 56 albuminuric (uACR ≥ 3 mg/mmol) adults of black African ethnicity. Urine proteins were precipitated, reduced, alkylated, digested, and analysed using an Evosep One LC (Evosep Biosystems, Odense, Denmark) coupled to a Sciex 5600 Triple-TOF (Sciex, Framingham, MA, USA) in data-independent acquisition mode. The data were searched on Spectronaut 15. Differentially abundant proteins (DAPs) were filtered to include those with a ≥2.25-fold change and a false discovery rate ≤ 1%. Receiver-operating characteristic curves were used to assess the discriminating abilities of proteins of interest. Pathway analysis was performed using Enrichr software. As expected, the albuminuric group had higher uACR (7.9 vs. 0.55 mg/mmol, < 0.001). The median eGFR (mL/min/1.73 m) showed no difference between the groups (111 vs. 114, = 0.707). We identified 80 DAPs in the albuminuria group compared to the normoalbuminuria group, of which 59 proteins were increased while 21 proteins were decreased in abundance. We found 12 urinary proteins with an AUC > 0.8 and a < 0.001 in the multivariate analysis. Furthermore, an 80-protein model was developed that showed a high AUC ˃ 0.907 and a predictive accuracy of 91.3% between the two groups. Pathway analysis found that the DAPs were involved in insulin growth factor (IGF) functions, innate immunity, platelet degranulation, and extracellular matrix organization. In albuminuric individuals with a well-preserved eGFR, pathways involved in preventing the release and uptake of IGF by insulin growth factor binding protein were significantly enriched. These proteins are indicative of a homeostatic imbalance in a variety of cellular processes underlying renal dysfunction and are implicated in chronic kidney disease.
蛋白尿可能先于肾小球滤过率(GFR)下降出现,并且这两种检测方法对于肾病早期阶段都是不敏感的预测指标。我们的目的是对来自南非的、患有蛋白尿且GFR保持良好的非洲黑人个体的尿蛋白质组进行特征分析。这项病例对照研究比较了52名尿白蛋白正常(尿白蛋白:肌酐比值(uACR)<3mg/mmol)和56名尿白蛋白异常(uACR≥3mg/mmol)的非洲黑人成年个体的尿蛋白质组。尿蛋白经沉淀、还原、烷基化、消化后,使用与Sciex 5600 Triple-TOF(美国马萨诸塞州弗雷明汉市Sciex公司)联用的Evosep One液相色谱仪(丹麦欧登塞市Evosep Biosystems公司),以数据非依赖采集模式进行分析。数据在Spectronaut 15上进行检索。差异丰富蛋白质(DAPs)经过筛选,纳入那些变化倍数≥2.25倍且错误发现率≤1%的蛋白质。采用受试者工作特征曲线评估感兴趣蛋白质的鉴别能力。使用Enrichr软件进行通路分析。正如预期的那样,蛋白尿组的uACR更高(7.9 vs. 0.55mg/mmol,<0.001)。两组间的估算肾小球滤过率(eGFR,mL/min/1.73m²)中位数无差异(111 vs. 114,=0.707)。与尿白蛋白正常组相比,我们在蛋白尿组中鉴定出80种DAPs,其中59种蛋白质丰度增加,21种蛋白质丰度降低。在多变量分析中,我们发现12种尿蛋白的曲线下面积(AUC)>0.8且P<0.001。此外,构建了一个80蛋白模型,该模型在两组间显示出较高的AUC>0.907和91.3%的预测准确率。通路分析发现,DAPs参与胰岛素生长因子(IGF)功能、固有免疫、血小板脱颗粒和细胞外基质组织。在eGFR保持良好的蛋白尿个体中,胰岛素生长因子结合蛋白参与的阻止IGF释放和摄取的通路显著富集。这些蛋白质表明肾功能障碍潜在的多种细胞过程中存在稳态失衡,并与慢性肾脏病有关。