Department of Internal Medicine, Yale School of Medicine, New Haven, Connecticut, USA.
Division of Nephrology, School of Medicine, Johns Hopkins University, Baltimore, Maryland, USA.
J Clin Invest. 2021 Feb 1;131(3). doi: 10.1172/JCI139927.
INTRODUCTIONAcute kidney injury and chronic kidney disease (CKD) are common in hospitalized patients. To inform clinical decision making, more accurate information regarding risk of long-term progression to kidney failure is required.METHODSWe enrolled 1538 hospitalized patients in a multicenter, prospective cohort study. Monocyte chemoattractant protein 1 (MCP-1/CCL2), uromodulin (UMOD), and YKL-40 (CHI3L1) were measured in urine samples collected during outpatient follow-up at 3 months. We followed patients for a median of 4.3 years and assessed the relationship between biomarker levels and changes in estimated glomerular filtration rate (eGFR) over time and the development of a composite kidney outcome (CKD incidence, CKD progression, or end-stage renal disease). We paired these clinical studies with investigations in mouse models of renal atrophy and renal repair to further understand the molecular basis of these markers in kidney disease progression.RESULTSHigher MCP-1 and YKL-40 levels were associated with greater eGFR decline and increased incidence of the composite renal outcome, whereas higher UMOD levels were associated with smaller eGFR declines and decreased incidence of the composite kidney outcome. A multimarker score increased prognostic accuracy and reclassification compared with traditional clinical variables alone. The mouse model of renal atrophy showed greater Ccl2 and Chi3l1 mRNA expression in infiltrating macrophages and neutrophils, respectively, and evidence of progressive renal fibrosis compared with the repair model. The repair model showed greater Umod expression in the loop of Henle and correspondingly less fibrosis.CONCLUSIONSBiomarker levels at 3 months after hospitalization identify patients at risk for kidney disease progression.FUNDINGNIH.
简介
急性肾损伤和慢性肾脏病(CKD)在住院患者中很常见。为了为临床决策提供信息,需要更准确地了解长期进展为肾衰竭的风险。
方法
我们在一项多中心前瞻性队列研究中纳入了 1538 名住院患者。在门诊随访期间,于第 3 个月收集尿液样本,检测其中的单核细胞趋化蛋白 1(MCP-1/CCL2)、尿调蛋白(UMOD)和 YKL-40(CHI3L1)。我们对患者进行了中位数为 4.3 年的随访,评估了生物标志物水平与随时间变化的估算肾小球滤过率(eGFR)变化之间的关系,以及复合肾脏结局(CKD 发生率、CKD 进展或终末期肾病)的发展。我们将这些临床研究与肾脏萎缩和肾脏修复的小鼠模型研究相结合,以进一步了解这些标志物在肾脏疾病进展中的分子基础。
结果
较高的 MCP-1 和 YKL-40 水平与 eGFR 下降更大以及复合肾脏结局发生率增加相关,而较高的 UMOD 水平与 eGFR 下降较小以及复合肾脏结局发生率降低相关。与传统临床变量单独相比,多标志物评分提高了预测准确性和重新分类能力。与修复模型相比,肾脏萎缩的小鼠模型显示浸润的巨噬细胞和中性粒细胞中分别有更高的 Ccl2 和 Chi3l1 mRNA 表达,以及进展性肾纤维化的证据。修复模型中 Henle 袢的 Umod 表达更高,相应地纤维化更少。
结论
住院后 3 个月的生物标志物水平可识别出有肾脏疾病进展风险的患者。
资助
NIH。