Spatial transcriptomic characterization of COVID-19 pneumonitis identifies immune circuits related to tissue injury.

Spatial transcriptomic characterization of COVID-19 pneumonitis identifies immune circuits related to tissue injury.
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COVID-19肺炎的空间转录组表征鉴定出与组织损伤有关的免疫回路。

DOI:
10.1172/jci.insight.157837
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发表时间:
2023-01-24
期刊:
影响因子:
8
通讯作者:
Issa, Fadi
Issa, Fadi
中科院分区:
医学1区
文献类型:
--
作者:
Cross, Amy R.;Andrea, Carlos E. de;Villalba-Esparza, Maria;Landecho, Manuel F.;Cerundolo, Lucia;Weeratunga, Praveen;Etherington, Rachel E.;Denney, Laura;Ogg, Graham;Ho, Ling -Pei;Roberts, Ian S. D.;Hester, Joanna;Klenerman, Paul;Melero, Ignacio;Sansom, Stephen N.;Issa, Fadi

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Severe lung damage resulting from COVID-19 involves complex interactions between diverse populations of immune and stromal cells. In this study, we used a spatial transcriptomics approach to delineate the cells, pathways, and genes present across the spectrum of histopathological damage in COVID-19–affected lung tissue. We applied correlation network–based approaches to deconvolve gene expression data from 46 areas of interest covering more than 62,000 cells within well-preserved lung samples from 3 patients. Despite substantial interpatient heterogeneity, we discovered evidence for a common immune-cell signaling circuit in areas of severe tissue that involves crosstalk between cytotoxic lymphocytes and pro-inflammatory macrophages. Expression of IFNG by cytotoxic lymphocytes was associated with induction of chemokines, including CXCL9, CXCL10, and CXCL11, which are known to promote the recruitment of CXCR3+ immune cells. The TNF superfamily members BAFF (TNFSF13B) and TRAIL (TNFSF10) were consistently upregulated in the areas with severe tissue damage. We used published spatial and single-cell SARS-CoV-2 data sets to validate our findings in the lung tissue from additional cohorts of patients with COVID-19. The resulting model of severe COVID-19 immune-mediated tissue pathology may inform future therapeutic strategies.
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