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PPARγ Cistrome Repression during Activation of Lung Monocyte-Macrophages in Severe COVID-19.
Desterke, Christophe; Turhan, Ali G; Bennaceur-Griscelli, Annelise; Griscelli, Frank.
  • Desterke C; INSERM UA9- University Paris-Saclay, Institut André Lwoff, Bâtiment A CNRS, 7 rue Guy Moquet, 94800 Villejuif, France.
  • Turhan AG; INSERM UA9- University Paris-Saclay, Institut André Lwoff, Bâtiment A CNRS, 7 rue Guy Moquet, 94800 Villejuif, France.
  • Bennaceur-Griscelli A; ESTeam Paris Sud, INGESTEM National IPSC Infrastructure, University Paris-Saclay, 94800 Villejuif, France.
  • Griscelli F; Division of Hematology, APHP-Paris Saclay University Hospitals, Le Kremlin Bicêtre 94275, Villejuif 94800, France.
iScience ; 23(10): 101611, 2020 Oct 23.
Article in English | MEDLINE | ID: covidwho-1065230
ABSTRACT
The molecular mechanisms of cytokine storm in patients with severe COVID-19 infections are poorly understood. To uncover these events, we performed transcriptome analyses of lung biopsies from patients with COVID-19, revealing a gene enrichment pattern similar to that of PPARγ-knockout macrophages. Single-cell gene expression analysis of bronchoalveolar lavage fluids revealed a characteristic trajectory of PPARγ-related disturbance in the CD14+/CD16+ cells. We identified a correlation with the disease severity and the reduced expression of several members of the PPARγ complex such as EP300, RXRA, RARA, SUMO1, NR3C1, and CCDC88A. ChIP-seq analyses confirmed repression of the PPARγ-RXRA-NR3C1 cistrome in COVID-19 lung samples. Further analysis of protein-protein networks highlighted an interaction between the PPARγ-associated protein SUMO1 and a nucleoprotein of the SARS virus. Overall, these results demonstrate for the first time the involvement of the PPARγ complex in severe COVID-19 lung disease and suggest strongly its role in the major monocyte/macrophage-mediated inflammatory storm.
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Full text: Available Collection: International databases Database: MEDLINE Type of study: Prognostic study Language: English Journal: IScience Year: 2020 Document Type: Article Affiliation country: J.isci.2020.101611

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Full text: Available Collection: International databases Database: MEDLINE Type of study: Prognostic study Language: English Journal: IScience Year: 2020 Document Type: Article Affiliation country: J.isci.2020.101611