Peters Kirsten E, Xu Jialin, Bringans Scott D, Davis Wendy A, Davis Timothy M E, Hansen Michael K, Lipscombe Richard J
Proteomics International, Nedlands, WA 6009, Australia.
Medical School, The University of Western Australia, Fremantle Hospital, Fremantle, WA 6959, Australia.
J Clin Med. 2020 Oct 6;9(10):3212. doi: 10.3390/jcm9103212.
The ability of current tests to predict chronic kidney disease (CKD) complicating diabetes is limited. This study investigated the prognostic utility of a novel blood test, PromarkerD, for predicting future renal function decline in individuals with type 2 diabetes from the CANagliflozin CardioVascular Assessment Study (CANVAS). PromarkerD scores were measured at baseline in 3568 CANVAS participants ( = 1195 placebo arm, = 2373 canagliflozin arm) and used to predict incident CKD (estimated glomerular filtration rate (eGFR) <60 mL/min/1.73m during follow-up in those above this threshold at baseline) and eGFR decline ≥30% during the 4 years from randomization. Biomarker concentrations (apolipoprotein A-IV (apoA4), CD5 antigen-like (CD5L/AIM) and insulin-like growth factor-binding protein 3 (IGFBP3) measured by mass spectrometry were combined with clinical data (age, serum high-density lipoprotein (HDL)-cholesterol, eGFR) using a previously defined algorithm to provide PromarkerD scores categorized as low-, moderate- or high-risk. The participants (mean age 63 years, 33% females) had a median PromarkerD score of 2.9%, with 70.5% categorized as low-risk, 13.6% as moderate-risk and 15.9% as high-risk for developing incident CKD. After adjusting for treatment, baseline PromarkerD moderate-risk and high-risk scores were increasingly prognostic for incident CKD (odds ratio 5.29 and 13.52 versus low-risk, respectively; both < 0.001). Analysis of the PromarkerD test system in CANVAS shows the test can predict clinically significant incident CKD in this multi-center clinical study but had limited utility for predicting eGFR decline ≥30%.
目前的检测方法预测糖尿病合并慢性肾脏病(CKD)的能力有限。本研究调查了一种新型血液检测指标PromarkerD在预测钠-葡萄糖协同转运蛋白2抑制剂(SGLT2i)恩格列净心血管评估研究(CANVAS)中2型糖尿病患者未来肾功能下降方面的预后价值。在3568例CANVAS参与者(n = 1195例安慰剂组,n = 2373例恩格列净组)基线时测量PromarkerD评分,并用于预测新发CKD(基线时高于该阈值的患者在随访期间估计肾小球滤过率(eGFR)<60 mL/min/1.73m²)以及随机分组后4年内eGFR下降≥30%。通过质谱法测量的生物标志物浓度(载脂蛋白A-IV(apoA4)、CD5抗原样蛋白(CD5L/AIM)和胰岛素样生长因子结合蛋白3(IGFBP3))与临床数据(年龄、血清高密度脂蛋白(HDL)胆固醇、eGFR)使用先前定义的算法相结合,以提供分类为低、中或高风险的PromarkerD评分。参与者(平均年龄63岁,33%为女性)的PromarkerD评分中位数为2.9%,其中70.5%分类为低风险,13.6%为中风险,15.9%为新发CKD的高风险。在调整治疗因素后,基线时PromarkerD中风险和高风险评分对新发CKD的预后价值逐渐增加(比值比分别为5.29和13.52,与低风险相比;P均<0.001)。CANVAS中PromarkerD检测系统的分析表明,该检测在这项多中心临床研究中可以预测具有临床意义的新发CKD,但在预测eGFR下降≥30%方面效用有限。