4.7 Article

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

期刊

JCI INSIGHT
卷 8, 期 2, 页码 -

出版社

AMER SOC CLINICAL INVESTIGATION INC
DOI: 10.1172/jci.insight.157837

关键词

-

向作者/读者索取更多资源

This study used spatial transcriptomics to explore the interactions between different immune and stromal cell populations in COVID-19-affected lung tissue. Through gene expression analysis of well-preserved lung samples from 3 patients, a common immune-cell signaling circuit involving cytotoxic lymphocytes and pro-inflammatory macrophages was identified in areas of severe lung damage. The expression of IFNG by cytotoxic lymphocytes was associated with the induction of chemokines, while TNF superfamily members (BAFF and TRAIL) were consistently upregulated in severely damaged areas. Validation of these findings in additional COVID-19 patient cohorts supports the potential use of this immune-mediated tissue pathology model for future therapeutic strategies.
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.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.7
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据