Metabolic programs define dysfunctional immune responses in severe COVID-19 patients.

Metabolic programs define dysfunctional immune responses in severe COVID-19 patients.
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DOI:
10.1016/j.celrep.2021.108863
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发表时间:
2021-03-16
期刊:
影响因子:
8.8
通讯作者:
Powell JD
Powell JD
中科院分区:
生物学1区
文献类型:
--
作者:
Thompson EA;Cascino K;Ordonez AA;Zhou W;Vaghasia A;Hamacher-Brady A;Brady NR;Sun IH;Wang R;Rosenberg AZ;Delannoy M;Rothman R;Fenstermacher K;Sauer L;Shaw-Saliba K;Bloch EM;Redd AD;Tobian AAR;Horton M;Smith K;Pekosz A;D'Alessio FR;Yegnasubramanian S;Ji H;Cox AL;Powell JD

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目前尚不清楚为什么一些SARS-CoV-2患者容易治愈感染,而另一些患者则会患上严重疾病。通过与其他病毒感染相比,对2019冠状病毒病(COVID-19)重症和康复患者免疫细胞的代谢程序进行询问,我们确定了一种独特的T细胞群。这些T细胞表达增加的电压依赖性阴离子通道1 (VDAC1),并伴有与线粒体功能障碍和凋亡相关的基因程序和功能特征。这些细胞的百分比在老年患者中增加,并与淋巴细胞减少有关。重要的是,通过靶向VDAC1的寡聚化或阻断caspase活性,可以在体外抑制T细胞凋亡。我们还观察到具有COVID-19特异性独特代谢表型的髓源性抑制细胞的扩增,它们的存在区分了严重和轻度疾病。总的来说,这些代谢表型的识别提供了对急性COVID-19患者功能失调免疫反应的深入了解,并提供了预测和跟踪疾病严重程度和/或设计代谢治疗方案的手段。具有独特代谢谱的T细胞在急性COVID-19中扩增,这些T细胞容易发生线粒体凋亡,与淋巴细胞减少有关,代谢不同的髓源性抑制细胞在急性COVID-19中增加,这些M-MDSCs的存在与疾病严重程度相关,与COVID-19疾病严重程度相关的确切免疫缺陷尚未确定。基于免疫代谢谱,Thompson等人确定了与疾病严重程度相关的独特的T细胞和骨髓细胞群。这些发现强调了代谢途径可能是COVID-19的治疗靶点。
It is unclear why some SARS-CoV-2 patients readily resolve infection while others develop severe disease. By interrogating metabolic programs of immune cells in severe and recovered coronavirus disease 2019 (COVID-19) patients compared with other viral infections, we identify a unique population of T cells. These T cells express increased Voltage-Dependent Anion Channel 1 (VDAC1), accompanied by gene programs and functional characteristics linked to mitochondrial dysfunction and apoptosis. The percentage of these cells increases in elderly patients and correlates with lymphopenia. Importantly, T cell apoptosis is inhibited in vitro by targeting the oligomerization of VDAC1 or blocking caspase activity. We also observe an expansion of myeloid-derived suppressor cells with unique metabolic phenotypes specific to COVID-19, and their presence distinguishes severe from mild disease. Overall, the identification of these metabolic phenotypes provides insight into the dysfunctional immune response in acutely ill COVID-19 patients and provides a means to predict and track disease severity and/or design metabolic therapeutic regimens. T cells with a unique metabolic profile are expanded in acute COVID-19 These T cells are prone to mitochondrial apoptosis, correlating with lymphopenia Metabolically distinct myeloid-derived suppressor cells increase in acute COVID-19 The presence of these M-MDSCs in acute COVID-19 correlates with disease severity The precise immunological defects that correlate with disease severity in COVID-19 have yet to be determined. Based on immune-metabolic profiling, Thompson et al. identify unique populations of T cells and myeloid cells that correlate with disease severity. These findings highlight metabolic pathways as possible therapeutic targets for COVID-19.
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