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SILAC-based chemoproteomics reveals a neoligan analogue as an anti-inflammatory agent targeting IRGM to ameliorate cytokine storm
Cytokine storm is a key feature of sepsis and severe stage of COVID-19, and the immunosuppression after excessive immune activation is a substantial hazard to human life. Both pathogen-associated molecular patterns (PAMPs) and damage-associated molecular patterns (DAMPs) are recognized by various pa...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier Masson SAS.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9359778/ https://www.ncbi.nlm.nih.gov/pubmed/35970074 http://dx.doi.org/10.1016/j.ejmech.2022.114659 |
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author | Zhang, Jichao Li, Yang Meng, Guibing Lu, Kui Yan, Jiankun Wu, Jiangpeng Li, Pengyan Luo, Lingling Chen, Xi Zhao, Xia Qiu, Feng |
author_facet | Zhang, Jichao Li, Yang Meng, Guibing Lu, Kui Yan, Jiankun Wu, Jiangpeng Li, Pengyan Luo, Lingling Chen, Xi Zhao, Xia Qiu, Feng |
author_sort | Zhang, Jichao |
collection | PubMed |
description | Cytokine storm is a key feature of sepsis and severe stage of COVID-19, and the immunosuppression after excessive immune activation is a substantial hazard to human life. Both pathogen-associated molecular patterns (PAMPs) and damage-associated molecular patterns (DAMPs) are recognized by various pattern recognition receptors (PRRs), which lead to the immune response. A number of neolignan analogues were synthesized in this work and showed powerful anti-inflammation properties linked to the response to innate and adaptive immunity, as well as NP-7 showed considerable anti-inflammatory activity at 100 nM. On the sepsis model caused by cecum ligation and puncture (CLP) in C57BL/6J mice, NP-7 displayed a strong regulatory influence on cytokine release. Then a photo-affinity probe of NP-7 was synthesized and chemoproteomics based on stable isotope labeling with amino acids in cell cultures (SILAC) identified Immunity-related GTPase M (IRGM) as a target suppressing cytokine storm, which was verified by competitive pull-down, cellular thermal shift assay (CETSA), drug affinity responsive target stability (DARTS) and molecular dynamics simulations. |
format | Online Article Text |
id | pubmed-9359778 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Elsevier Masson SAS. |
record_format | MEDLINE/PubMed |
spelling | pubmed-93597782022-08-09 SILAC-based chemoproteomics reveals a neoligan analogue as an anti-inflammatory agent targeting IRGM to ameliorate cytokine storm Zhang, Jichao Li, Yang Meng, Guibing Lu, Kui Yan, Jiankun Wu, Jiangpeng Li, Pengyan Luo, Lingling Chen, Xi Zhao, Xia Qiu, Feng Eur J Med Chem Article Cytokine storm is a key feature of sepsis and severe stage of COVID-19, and the immunosuppression after excessive immune activation is a substantial hazard to human life. Both pathogen-associated molecular patterns (PAMPs) and damage-associated molecular patterns (DAMPs) are recognized by various pattern recognition receptors (PRRs), which lead to the immune response. A number of neolignan analogues were synthesized in this work and showed powerful anti-inflammation properties linked to the response to innate and adaptive immunity, as well as NP-7 showed considerable anti-inflammatory activity at 100 nM. On the sepsis model caused by cecum ligation and puncture (CLP) in C57BL/6J mice, NP-7 displayed a strong regulatory influence on cytokine release. Then a photo-affinity probe of NP-7 was synthesized and chemoproteomics based on stable isotope labeling with amino acids in cell cultures (SILAC) identified Immunity-related GTPase M (IRGM) as a target suppressing cytokine storm, which was verified by competitive pull-down, cellular thermal shift assay (CETSA), drug affinity responsive target stability (DARTS) and molecular dynamics simulations. Elsevier Masson SAS. 2022-11-05 2022-08-08 /pmc/articles/PMC9359778/ /pubmed/35970074 http://dx.doi.org/10.1016/j.ejmech.2022.114659 Text en © 2022 Elsevier Masson SAS. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
spellingShingle | Article Zhang, Jichao Li, Yang Meng, Guibing Lu, Kui Yan, Jiankun Wu, Jiangpeng Li, Pengyan Luo, Lingling Chen, Xi Zhao, Xia Qiu, Feng SILAC-based chemoproteomics reveals a neoligan analogue as an anti-inflammatory agent targeting IRGM to ameliorate cytokine storm |
title | SILAC-based chemoproteomics reveals a neoligan analogue as an anti-inflammatory agent targeting IRGM to ameliorate cytokine storm |
title_full | SILAC-based chemoproteomics reveals a neoligan analogue as an anti-inflammatory agent targeting IRGM to ameliorate cytokine storm |
title_fullStr | SILAC-based chemoproteomics reveals a neoligan analogue as an anti-inflammatory agent targeting IRGM to ameliorate cytokine storm |
title_full_unstemmed | SILAC-based chemoproteomics reveals a neoligan analogue as an anti-inflammatory agent targeting IRGM to ameliorate cytokine storm |
title_short | SILAC-based chemoproteomics reveals a neoligan analogue as an anti-inflammatory agent targeting IRGM to ameliorate cytokine storm |
title_sort | silac-based chemoproteomics reveals a neoligan analogue as an anti-inflammatory agent targeting irgm to ameliorate cytokine storm |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9359778/ https://www.ncbi.nlm.nih.gov/pubmed/35970074 http://dx.doi.org/10.1016/j.ejmech.2022.114659 |
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