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LEF1-AS1与新型冠状病毒肺炎心血管及神经并发症的关联

Association of LEF1-AS1 with cardiovascular and neurological complications of COVID-19.

作者信息

Vausort Mélanie, Lumley Andrew I, Boubakeur Hassina, Zhang Lu, Hefeng Feng Q, Ollert Markus, Wilmes Paul, Fagherazzi Guy, Devaux Yvan

机构信息

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

Bioinformatics and AI Unit, Department of Medical Informatics, Luxembourg Institute of Health, Strassen, Luxembourg.

出版信息

J Mol Cell Cardiol Plus. 2024 Dec 22;11:100280. doi: 10.1016/j.jmccpl.2024.100280. eCollection 2025 Mar.

Abstract

A significant proportion of COVID-19 patients develop long-term complications, particularly cardiovascular and neurological issues. Even though risk factors for developing complications after COVID-19 have been identified, a biomarker to predict these complications could enable personalized healthcare and potentially reduce the disease burden. Easily measurable in the blood, the long noncoding RNA LEF1-AS1 has recently been associated with in-hospital mortality following SARS-CoV - 2 infection and holds potential as a biomarker for disease severity in COVID-19 patients. Consequently, we examined LEF1-AS1's ability to predict cardiovascular and neurological complications after COVID-19. LEF1-AS1 has been measured in the blood by quantitative PCR in 104 primo-infected participants from the Predi-COVID cohort within 3 days post clinical PCR-confirmed COVID-19 diagnosis. Among them, 35 participants (34 %) reported at least one persistent cardiovascular symptom and at least one persistent neurological or ocular symptom in a self-administered questionnaire 12 months after COVID-19 diagnosis. Blood levels of LEF1-AS1 at baseline in these patients were lower ( = 0.019) compared to those who did not report symptoms. Lower LEF1-AS1 levels were associated with symptoms with an odds ratio of 0.48 (95 % confidence interval 0.28-0.83) in a logistic regression model adjusted for age, sex, comorbidity, and moderate disease severity at baseline. LEF1-AS1 expression was positively correlated with the frequency of naïve T cells and negatively correlated with the frequency of effector memory T cells among total CD8+ T cells, revealing a potential association between LEF1-AS1 and CD8+ T-cell differentiation following SARS-CoV-2 infection. In conclusion, blood levels of LEF1-AS1 can potentially help in predicting 12-month cardiovascular and neurological complications in COVID-19 patients, though this finding requires validation in larger cohorts.

摘要

相当一部分新冠病毒病(COVID-19)患者会出现长期并发症,尤其是心血管和神经方面的问题。尽管已经确定了COVID-19后发生并发症的风险因素,但一种能够预测这些并发症的生物标志物可以实现个性化医疗,并有可能减轻疾病负担。长链非编码RNA LEF1-AS1在血液中易于检测,最近它被发现与严重急性呼吸综合征冠状病毒2(SARS-CoV-2)感染后的院内死亡率有关,并且有望成为COVID-19患者疾病严重程度的生物标志物。因此,我们研究了LEF1-AS1预测COVID-19后心血管和神经并发症的能力。在临床PCR确诊COVID-19诊断后的3天内,通过定量PCR对来自Predi-COVID队列的104名初感染参与者的血液中的LEF1-AS1进行了检测。其中,35名参与者(34%)在COVID-19诊断12个月后的一份自我管理问卷中报告了至少一种持续的心血管症状以及至少一种持续的神经或眼部症状。与未报告症状的患者相比,这些患者基线时血液中LEF1-AS1的水平较低(P = 0.019)。在对年龄、性别、合并症和基线时的中度疾病严重程度进行校正的逻辑回归模型中,较低的LEF1-AS1水平与症状相关,优势比为0.48(95%置信区间0.28 - 0.83)。在总的CD8 + T细胞中,LEF1-AS1表达与初始T细胞频率呈正相关,与效应记忆T细胞频率呈负相关,这揭示了LEF1-AS1与SARS-CoV-2感染后CD8 + T细胞分化之间的潜在关联。总之,LEF1-AS1的血液水平可能有助于预测COVID-19患者12个月后的心血管和神经并发症,不过这一发现需要在更大的队列中进行验证。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/da4c/11967013/429e3343df78/ga1.jpg

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