生长分化因子15在SARS-CoV-2感染中的新生物标志物

Deepak Parchwani, Sagar Dholariya, Cds Katoch, Ragini Singh
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引用次数: 4

摘要

背景:生长分化因子(GDF)-15是转化生长因子-β细胞因子超家族的一员,调节代谢,在炎症、缺氧和组织损伤时释放。它已经发展成为预测感染和炎症严重程度的最有效的细胞因子之一,例如严重急性呼吸综合征冠状病毒2 (SARS-CoV-2)感染。目的:探讨GDF-15在预测SARS-CoV-2感染严重程度中的应用价值。方法:利用相关MeSH关键词及数据,如第一作者姓名、研究持续时间、研究类型及地点、样本量及受试者亚组(如有)、血清/血浆GDF-15水平(pg/mL)、受试者工作特征分析曲线下面积及截断值、GDF-15测量方法,对PubMed、Reference Citation Analysis、CNKI、Goggle Scholar进行检索,提取主要结论。结果:在所有研究中,sars - cov -2感染患者的基线GDF-15水平升高,并且与严重程度、低氧血症、病毒载量和更糟糕的临床后果显著相关。此外,GDF-15水平与c反应蛋白、d -二聚体、铁蛋白和降钙素原相关,对SARS-CoV-2感染的严重程度和住院死亡率具有较好的判别能力。因此,GDF-15可用于预测SARS-CoV-2住院患者的严重程度和预后。结论:连续评估住院SARS-CoV-2感染患者的GDF-15水平似乎具有有用的预后价值,GDF-15可被认为是SARS-CoV-2感染的临床突出败血症生物标志物。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Growth differentiation factor 15 as an emerging novel biomarker in SARS-CoV-2 infection.

Growth differentiation factor 15 as an emerging novel biomarker in SARS-CoV-2 infection.

Background: Growth differentiation factor (GDF)-15 is a member of a transforming growth factor-β cytokine superfamily that regulates metabolism and is released in response to inflammation, hypoxia and tissue injury. It has evolved as one of the most potent cytokines for predicting the severity of infections and inflammatory conditions, such as severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection.

Aim: To investigate the utility of GDF-15 in predicting the severity of SARS-CoV-2 infection.

Methods: PubMed, Reference Citation Analysis, CNKI, and Goggle Scholar were explored by using related MeSH keywords and data such as the first author's name, study duration, type and place of study, sample size and subgroups of participants if any, serum/plasma GDF- 15 level in pg/mL, area under the curve and cut-off value in receiver operating characteristic analysis, method of measurement of GDF-15, and the main conclusion were extracted.

Results: In all studies, the baseline GDF-15 level was elevated in SARS-CoV-2-infected patients, and it was significantly associated with severity, hypoxemia, viral load, and worse clinical consequences. In addition, GDF-15 levels were correlated with C-reactive protein, D-dimer, ferritin and procalcitonin, and it had superior discriminatory ability to detect severity and in-hospital mortality of SARS-CoV-2 infection. Hence, GDF-15 might be used to predict the severity and prognosis of hospitalized patients with SARS-CoV-2.

Conclusion: Serial estimation of GDF-15 levels in hospitalized patients with SARS-CoV-2 infection appeared to have useful prognostic value and GDF-15 can be considered a clinically prominent sepsis biomarker for SARS-CoV-2 infection.

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