Díaz-Troyano Noelia, Gabriel-Medina Pablo, Weber Stephen, Klammer Martin, Barquín-DelPino Raquel, Castillo-Ribelles Laura, Esteban Angels, Hernández-González Manuel, Ferrer-Costa Roser, Pumarola Tomas, Rodríguez-Frías Francisco
Biochemistry Department (Clinical Laboratories), Vall d'Hebron University Hospital, 08035 Barcelona, Spain.
Vall d'Hebron Research Institute, 08035 Barcelona, Spain.
Diagnostics (Basel). 2022 Apr 1;12(4):886. doi: 10.3390/diagnostics12040886.
Predicting disease severity in patients infected with SARS-CoV-2 is difficult. Soluble angiotensin-converting enzyme 2 (sACE2) arises from the shedding of membrane ACE2 (mACE2), which is a receptor for SARS-CoV-2 spike protein. We evaluated the predictive value of sACE2 compared with known biomarkers of inflammation and tissue damage (CRP, GDF-15, IL-6, and sFlt-1) in 850 patients with and without SARS-CoV-2 with different clinical outcomes. For univariate analyses, median differences between biomarker levels were calculated for the following patient groups (classified by clinical outcome): RT-PCR-confirmed SARS-CoV-2 positive (Groups 1−4); RT-PCR-confirmed SARS-CoV-2 negative following previous SARS-CoV-2 infection (Groups 5 and 6); and ‘SARS-CoV-2 unexposed’ patients (Group 7). Median levels of CRP, GDF-15, IL-6, and sFlt-1 were significantly higher in hospitalized patients with SARS-CoV-2 compared with discharged patients (all p < 0.001), whereas levels of sACE2 were significantly lower (p < 0.001). ROC curve analysis of sACE2 provided cut-offs for predicting hospital admission (≤0.05 ng/mL (positive predictive value: 89.1%) and ≥0.42 ng/mL (negative predictive value: 84.0%)). These findings support further investigation of sACE2, as a single biomarker or as part of a panel, to predict hospitalization risk and disease severity in patients with SARS-CoV-2 infection.
预测感染新型冠状病毒(SARS-CoV-2)患者的疾病严重程度具有挑战性。可溶性血管紧张素转换酶2(sACE2)由膜血管紧张素转换酶2(mACE2)脱落产生,mACE2是SARS-CoV-2刺突蛋白的受体。我们在850例有或无SARS-CoV-2感染且具有不同临床结局的患者中,评估了sACE2与已知炎症和组织损伤生物标志物(CRP、GDF-15、IL-6和sFlt-1)相比的预测价值。对于单变量分析,计算了以下患者组(按临床结局分类)生物标志物水平的中位数差异:RT-PCR确诊的SARS-CoV-2阳性(第1-4组);既往SARS-CoV-2感染后RT-PCR确诊的SARS-CoV-2阴性(第5和6组);以及“未接触SARS-CoV-2”患者(第7组)。与出院患者相比,SARS-CoV-2感染住院患者的CRP、GDF-15、IL-6和sFlt-1中位数水平显著更高(均p<0.001),而sACE2水平显著更低(p<0.001)。sACE2的ROC曲线分析提供了预测住院的临界值(≤0.05 ng/mL(阳性预测值:89.1%)和≥0.42 ng/mL(阴性预测值:84.0%))。这些发现支持进一步研究sACE2,作为单一生物标志物或作为指标组合的一部分,以预测SARS-CoV-2感染患者的住院风险和疾病严重程度。