Discovery of potential imaging and therapeutic targets for severe inflammation in COVID-19 patients

被引:8
|
作者
Lee, Hyunjong [1 ,2 ,3 ]
Park, Jeongbin [2 ]
Im, Hyung-Jun [2 ,4 ]
Na, Kwon Joong [5 ]
Choi, Hongyoon [1 ]
机构
[1] Seoul Natl Univ, Dept Nucl Med, Coll Med, 101 Daehak Ro, Seoul 03080, South Korea
[2] Seoul Natl Univ, Grad Sch Convergence Sci & Technol, Dept Mol Med & Biopharmaceut Sci, Seoul, South Korea
[3] Sungkyunkwan Univ, Samsung Med Ctr, Dept Nucl Med, Sch Med, Seoul, South Korea
[4] Seoul Natl Univ, Grad Sch Convergence Sci & Technol, Dept Appl Bioengn, 145 Gwanggyo Ro, Suwon 16229, Gyeonggi Do, South Korea
[5] Seoul Natl Univ Hosp, Dept Thorac & Cardiovasc Surg, 101 Daehak Ro, Seoul 03080, South Korea
基金
新加坡国家研究基金会;
关键词
PET; MACROPHAGES;
D O I
10.1038/s41598-021-93743-2
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
The Coronavirus disease 2019 (COVID-19) has been spreading worldwide with rapidly increased number of deaths. Hyperinflammation mediated by dysregulated monocyte/macrophage function is considered to be the key factor that triggers severe illness in COVID-19. However, no specific targeting molecule has been identified for detecting or treating hyperinflammation related to dysregulated macrophages in severe COVID-19. In this study, previously published single-cell RNA-sequencing data of bronchoalveolar lavage fluid cells from thirteen COVID-19 patients were analyzed with publicly available databases for surface and imageable targets. Immune cell composition according to the severity was estimated with the clustering of gene expression data. Expression levels of imaging target molecules for inflammation were evaluated in macrophage clusters from single-cell RNA-sequencing data. In addition, candidate targetable molecules enriched in severe COVID-19 associated with hyperinflammation were filtered. We found that expression of SLC2A3, which can be imaged by [F-18]fluorodeoxyglucose, was higher in macrophages from severe COVID-19 patients. Furthermore, by integrating the surface target and drug-target binding databases with RNA-sequencing data of severe COVID-19, we identified candidate surface and druggable targets including CCR1 and FPR1 for drug delivery as well as molecular imaging. Our results provide a resource in the development of specific imaging and therapy for COVID-19-related hyperinflammation.
引用
收藏
页数:9
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