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
中科院分区:
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
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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影响因子:
4.6
作者:
Bankhead P;Loughrey MB;Fernández JA;Dombrowski Y;McArt DG;Dunne PD;McQuaid S;Gray RT;Murray LJ;Coleman HG;James JA;Salto-Tellez M;Hamilton PW
通讯作者:
Hamilton PW
影响因子:
64.5
作者:
COvid-19 Multi-omics Blood ATlas (COMBAT) Consortium. Electronic address: julian.knight@well.ox.ac.uk;COvid-19 Multi-omics Blood ATlas (COMBAT) Consortium
通讯作者:
COvid-19 Multi-omics Blood ATlas (COMBAT) Consortium
影响因子:
3
作者:
Langfelder P;Horvath S
通讯作者:
Horvath S
影响因子:
17.1
作者:
通讯作者:
--
影响因子:
64.8
作者:
Delorey TM;Ziegler CGK;Heimberg G;Normand R;Yang Y;Segerstolpe Å;Abbondanza D;Fleming SJ;Subramanian A;Montoro DT;Jagadeesh KA;Dey KK;Sen P;Slyper M;Pita-Juárez YH;Phillips D;Biermann J;Bloom-Ackermann Z;Barkas N;Ganna A;Gomez J;Melms JC;Katsyv I;Normandin E;Naderi P;Popov YV;Raju SS;Niezen S;Tsai LT;Siddle KJ;Sud M;Tran VM;Vellarikkal SK;Wang Y;Amir-Zilberstein L;Atri DS;Beechem J;Brook OR;Chen J;Divakar P;Dorceus P;Engreitz JM;Essene A;Fitzgerald DM;Fropf R;Gazal S;Gould J;Grzyb J;Harvey T;Hecht J;Hether T;Jané-Valbuena J;Leney-Greene M;Ma H;McCabe C;McLoughlin DE;Miller EM;Muus C;Niemi M;Padera R;Pan L;Pant D;Pe'er C;Pfiffner-Borges J;Pinto CJ;Plaisted J;Reeves J;Ross M;Rudy M;Rueckert EH;Siciliano M;Sturm A;Todres E;Waghray A;Warren S;Zhang S;Zollinger DR;Cosimi L;Gupta RM;Hacohen N;Hibshoosh H;Hide W;Price AL;Rajagopal J;Tata PR;Riedel S;Szabo G;Tickle TL;Ellinor PT;Hung D;Sabeti PC;Novak R;Rogers R;Ingber DE;Jiang ZG;Juric D;Babadi M;Farhi SL;Izar B;Stone JR;Vlachos IS;Solomon IH;Ashenberg O;Porter CBM;Li B;Shalek AK;Villani AC;Rozenblatt-Rosen O;Regev A
通讯作者:
Regev A