Biomedical Research Foundation Academy of Athens, Center for Clinical, Experimental Surgery and Translational Research, Athens, Greece.
First Department of Internal Medicine, University Hospital of Alexandroupolis, Democritus University of Thrace, Alexandroupolis, Greece.
J Infect Dis. 2021 May 20;223(9):1544-1554. doi: 10.1093/infdis/jiab108.
Activins are members of the transforming growth factor-β superfamily implicated in the pathogenesis of several immunoinflammatory disorders. Based on our previous studies demonstrating that overexpression of activin-A in murine lung causes pathology sharing key features of coronavirus disease 2019 (COVID-19), we hypothesized that activins and their natural inhibitor follistatin might be particularly relevant to COVID-19 pathophysiology.
Activin-A, activin-B, and follistatin were retrospectively analyzed in 574 serum samples from 263 COVID-19 patients hospitalized in 3 independent centers, and compared with demographic, clinical, and laboratory parameters. Optimal scaling with ridge regression was used to screen variables and establish a prediction model.
The activin/follistatin axis was significantly deregulated during the course of COVID-19, correlated with severity and independently associated with mortality. FACT-CLINYCoD, a scoring system incorporating follistatin, activin-A, activin-B, C-reactive protein, lactate dehydrogenase, intensive care unit admission, neutrophil/lymphocyte ratio, age, comorbidities, and D-dimers, efficiently predicted fatal outcome (area under the curve [AUC], 0.951; 95% confidence interval, .919-.983; P <10-6). Two validation cohorts indicated similar AUC values.
This study demonstrates a link between activin/follistatin axis and COVID-19 mortality and introduces FACT-CLINYCoD, a novel pathophysiology-based tool that allows dynamic prediction of disease outcome, supporting clinical decision making.
激活素是转化生长因子-β超家族的成员,与多种免疫炎症性疾病的发病机制有关。基于我们之前的研究表明,在小鼠肺部过度表达激活素-A 会导致与 2019 年冠状病毒病 (COVID-19) 具有关键特征的病理学,我们假设激活素及其天然抑制剂卵泡抑素可能与 COVID-19 病理生理学特别相关。
回顾性分析了来自 3 个独立中心的 263 例 COVID-19 住院患者的 574 份血清样本中的激活素-A、激活素-B 和卵泡抑素,并与人口统计学、临床和实验室参数进行了比较。使用岭回归最优缩放筛选变量并建立预测模型。
COVID-19 期间激活素/卵泡抑素轴明显失调,与严重程度相关,且与死亡率独立相关。包含卵泡抑素、激活素-A、激活素-B、C 反应蛋白、乳酸脱氢酶、重症监护病房入院、中性粒细胞/淋巴细胞比值、年龄、合并症和 D-二聚体的 FACT-CLINYCoD 评分系统能够有效地预测致命结局(曲线下面积 [AUC],0.951;95%置信区间,0.919-0.983;P<10-6)。两个验证队列均表明相似的 AUC 值。
本研究表明激活素/卵泡抑素轴与 COVID-19 死亡率之间存在关联,并介绍了 FACT-CLINYCoD,这是一种基于病理生理学的新型工具,可实现疾病结局的动态预测,支持临床决策。