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Abnormal upregulation of cardiovascular disease biomarker PLA2G7 induced by proinflammatory macrophages in COVID-19 patients.

Yang Li | Yongzhong Jiang | Yi Zhang | Naizhe Li | Qiangling Yin | Linlin Liu | Xin Lv | Yan Liu | Aqian Li | Bin Fang | Jiajia Li | Hengping Ye | Gang Yang | Xiaoxian Cui | Yang Liu | Yuanyuan Qu | Chuan Li | Jiandong Li | Dexin Li | Zhongtao Gai | Shiwen Wang | Faxian Zhan | Mifang Liang
Scientific reports | 2021

High rate of cardiovascular disease (CVD) has been reported among patients with coronavirus disease 2019 (COVID-19). Importantly, CVD, as one of the comorbidities, could also increase the risks of the severity of COVID-19. Here we identified phospholipase A2 group VII (PLA2G7), a well-studied CVD biomarker, as a hub gene in COVID-19 though an integrated hypothesis-free genomic analysis on nasal swabs (n = 486) from patients with COVID-19. PLA2G7 was further found to be predominantly expressed by proinflammatory macrophages in lungs emerging with progression of COVID-19. In the validation stage, RNA level of PLA2G7 was identified in nasal swabs from both COVID-19 and pneumonia patients, other than health individuals. The positive rate of PLA2G7 were correlated with not only viral loads but also severity of pneumonia in non-COVID-19 patients. Serum protein levels of PLA2G7 were found to be elevated and beyond the normal limit in COVID-19 patients, especially among those re-positive patients. We identified and validated PLA2G7, a biomarker for CVD, was abnormally enhanced in COVID-19 at both nucleotide and protein aspects. These findings provided indications into the prevalence of cardiovascular involvements seen in patients with COVID-19. PLA2G7 could be a potential prognostic and therapeutic target in COVID-19.

Pubmed ID: 33762651

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Cytoscape (tool)

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Software platform for complex network analysis and visualization. Used for visualization of molecular interaction networks and biological pathways and integrating these networks with annotations, gene expression profiles and other state data.

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NCBI Epigenomics (tool)

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THIS RESOURCE IS NO LONGER IN SERVICE, documented on January 19, 2022.

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