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外周血 miR-144 水平与 COVID-19 严重程度和死亡率的关系。

Association of miR-144 levels in the peripheral blood with COVID-19 severity and mortality.

机构信息

Molecular Cardiology Laboratory, IRCCS Policlinico San Donato, Via Morandi 30, 20097, San Donato Milanese, MI, Italy.

Cardiovascular Research Unit, Department of Precision Health, Luxembourg Institute of Health, 1445, Strassen, Luxembourg.

出版信息

Sci Rep. 2022 Nov 21;12(1):20048. doi: 10.1038/s41598-022-23922-2.

DOI:10.1038/s41598-022-23922-2
PMID:36414650
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9681736/
Abstract

Coronavirus disease-2019 (COVID-19) can be asymptomatic or lead to a wide symptom spectrum, including multi-organ damage and death. Here, we explored the potential of microRNAs in delineating patient condition and predicting clinical outcome. Plasma microRNA profiling of hospitalized COVID-19 patients showed that miR-144-3p was dynamically regulated in response to COVID-19. Thus, we further investigated the biomarker potential of miR-144-3p measured at admission in 179 COVID-19 patients and 29 healthy controls recruited in three centers. In hospitalized patients, circulating miR-144-3p levels discriminated between non-critical and critical illness (AUC = 0.71; p = 0.0006), acting also as mortality predictor (AUC = 0.67; p = 0.004). In non-hospitalized patients, plasma miR-144-3p levels discriminated mild from moderate disease (AUC = 0.67; p = 0.03). Uncontrolled release of pro-inflammatory cytokines can lead to clinical deterioration. Thus, we explored the added value of a miR-144/cytokine combined analysis in the assessment of hospitalized COVID-19 patients. A miR-144-3p/Epidermal Growth Factor (EGF) combined score discriminated between non-critical and critical hospitalized patients (AUC = 0.81; p < 0.0001); moreover, a miR-144-3p/Interleukin-10 (IL-10) score discriminated survivors from nonsurvivors (AUC = 0.83; p < 0.0001). In conclusion, circulating miR-144-3p, possibly in combination with IL-10 or EGF, emerges as a noninvasive tool for early risk-based stratification and mortality prediction in COVID-19.

摘要

新型冠状病毒病(COVID-19)可无症状,也可引起广泛的症状谱,包括多器官损伤和死亡。在这里,我们探索了 microRNAs 在描绘患者病情和预测临床结局方面的潜力。对住院 COVID-19 患者的血浆 microRNA 谱分析表明,miR-144-3p 可对 COVID-19 作出动态调节。因此,我们进一步研究了在三个中心招募的 179 名 COVID-19 患者和 29 名健康对照者入院时测量的 miR-144-3p 的生物标志物潜力。在住院患者中,循环 miR-144-3p 水平可区分非危重症和危重症(AUC=0.71;p=0.0006),也可作为死亡率预测因子(AUC=0.67;p=0.004)。在非住院患者中,血浆 miR-144-3p 水平可区分轻症和中度疾病(AUC=0.67;p=0.03)。促炎细胞因子的失控释放可能导致临床恶化。因此,我们探讨了 miR-144/细胞因子联合分析在评估住院 COVID-19 患者中的附加价值。miR-144-3p/表皮生长因子(EGF)联合评分可区分非危重症和危重症住院患者(AUC=0.81;p<0.0001);此外,miR-144-3p/白细胞介素-10(IL-10)评分可区分存活者和非存活者(AUC=0.83;p<0.0001)。总之,循环 miR-144-3p 可能与 IL-10 或 EGF 联合,可作为 COVID-19 患者早期基于风险的分层和死亡率预测的非侵入性工具。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0d10/9681736/eb8afbc68556/41598_2022_23922_Fig6_HTML.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0d10/9681736/eb8afbc68556/41598_2022_23922_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0d10/9681736/9817e97977c3/41598_2022_23922_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0d10/9681736/9e80ca4ef05c/41598_2022_23922_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0d10/9681736/9dff9d835be3/41598_2022_23922_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0d10/9681736/15f158dcdfb7/41598_2022_23922_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0d10/9681736/87529a921e60/41598_2022_23922_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0d10/9681736/eb8afbc68556/41598_2022_23922_Fig6_HTML.jpg

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