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CD4 和 CD8 T 细胞表达减少可能反映了 COVID-19 患者感染的严重程度,并预测其预后更差:来自荟萃分析的证据。

Less expression of CD4 and CD8 T cells might reflect the severity of infection and predict worse prognosis in patients with COVID-19: Evidence from a pooled analysis.

机构信息

Department of Laboratory Medicine, Xinhua Hospital Affiliated to Shanghai JiaoTong University School of Medicine, Chongming Branch, Shanghai, China.

Department of Orthopedics, The Second People' Hospital of Hefei, Hefei, Anhui, China.

出版信息

Clin Chim Acta. 2020 Nov;510:1-4. doi: 10.1016/j.cca.2020.06.040. Epub 2020 Jun 27.

DOI:10.1016/j.cca.2020.06.040
PMID:32598880
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7319938/
Abstract

This study mainly focused on the very serious COVID-19 epidemic situation at present and provided a new insight for the treatment and monitor of patients with COVID-19. Through this meta-analysis, we could draw a conclusion that less expression of blood CD4 and CD8 T cells count might reflect the severity of infection and often accompanied by a poor prognosis. Hence, we inferred blood CD4+ and CD8+ T cells count could be a promising biomarker for disease assessment and monitor of patients with COVID-19.

摘要

本研究主要针对当前非常严重的 COVID-19 疫情,为 COVID-19 患者的治疗和监测提供了新的视角。通过这项荟萃分析,我们可以得出结论,血液中 CD4 和 CD8 T 细胞计数的减少可能反映了感染的严重程度,并且常常伴有不良预后。因此,我们推断血液 CD4+和 CD8+T 细胞计数可能是 COVID-19 患者疾病评估和监测的有前途的生物标志物。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/792e/7319938/3e4d1c34839a/gr2_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/792e/7319938/ba4698d0cc04/gr1_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/792e/7319938/3e4d1c34839a/gr2_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/792e/7319938/ba4698d0cc04/gr1_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/792e/7319938/3e4d1c34839a/gr2_lrg.jpg

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J Infect. 2020 Jul;81(1):e51-e60. doi: 10.1016/j.jinf.2020.04.012. Epub 2020 Apr 18.
2
Epidemiological characteristics and clinical features of 32 critical and 67 noncritical cases of COVID-19 in Chengdu.成都 32 例危重症和 67 例非危重症 COVID-19 的流行病学特征和临床特征。
J Clin Virol. 2020 Jun;127:104366. doi: 10.1016/j.jcv.2020.104366. Epub 2020 Apr 10.
3
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4
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Front Immunol. 2022 Oct 20;13:960709. doi: 10.3389/fimmu.2022.960709. eCollection 2022.
5
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6
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