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Deciphering the molecular and cellular atlas of immune cells in septic patients with different bacterial infections
BACKGROUND: Sepsis is a life-threatening organ dysfunction caused by abnormal immune responses to various, predominantly bacterial, infections. Different bacterial infections lead to substantial variation in disease manifestation and therapeutic strategies. However, the underlying cellular heterogen...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10621118/ https://www.ncbi.nlm.nih.gov/pubmed/37919720 http://dx.doi.org/10.1186/s12967-023-04631-4 |
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author | Sun, Ping Cui, Mintian Jing, Jiongjie Kong, Fanyu Wang, Shixi Tang, Lunxian Leng, Junling Chen, Kun |
author_facet | Sun, Ping Cui, Mintian Jing, Jiongjie Kong, Fanyu Wang, Shixi Tang, Lunxian Leng, Junling Chen, Kun |
author_sort | Sun, Ping |
collection | PubMed |
description | BACKGROUND: Sepsis is a life-threatening organ dysfunction caused by abnormal immune responses to various, predominantly bacterial, infections. Different bacterial infections lead to substantial variation in disease manifestation and therapeutic strategies. However, the underlying cellular heterogeneity and mechanisms involved remain poorly understood. METHODS: Multiple bulk transcriptome datasets from septic patients with 12 types of bacterial infections were integrated to identify signature genes for each infection. Signature genes were mapped onto an integrated large single-cell RNA (scRNA) dataset from septic patients, to identify subsets of cells associated with different sepsis types, and multiple omics datasets were combined to reveal the underlying molecular mechanisms. In addition, an scRNA dataset and spatial transcriptome data were used to identify signaling pathways in sepsis-related cells. Finally, molecular screening, optimization, and de novo design were conducted to identify potential targeted drugs and compounds. RESULTS: We elucidated the cellular heterogeneity among septic patients with different bacterial infections. In Escherichia coli (E. coli) sepsis, 19 signature genes involved in epigenetic regulation and metabolism were identified, of which DRAM1 was demonstrated to promote autophagy and glycolysis in response to E. coli infection. DRAM1 upregulation was confirmed in an independent sepsis cohort. Further, we showed that DRAM1 could maintain survival of a pro-inflammatory monocyte subset, C10_ULK1, which induces systemic inflammation by interacting with other cell subsets via resistin and integrin signaling pathways in blood and kidney tissue, respectively. Finally, retapamulin was identified and optimized as a potential drug for treatment of E. coli sepsis targeting the signature gene, DRAM1, and inhibiting E. coli protein synthesis. Several other targeted drugs were also identified in other types of sepsis, including nystatin targeting C1QA in Neisseria sepsis and dalfopristin targeting CTSD in Streptococcus viridans sepsis. CONCLUSION: Our study provides a comprehensive overview of the cellular heterogeneity and underlying mechanisms in septic patients with various bacterial infections, providing insights to inform development of stratified targeted therapies for sepsis. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12967-023-04631-4. |
format | Online Article Text |
id | pubmed-10621118 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-106211182023-11-03 Deciphering the molecular and cellular atlas of immune cells in septic patients with different bacterial infections Sun, Ping Cui, Mintian Jing, Jiongjie Kong, Fanyu Wang, Shixi Tang, Lunxian Leng, Junling Chen, Kun J Transl Med Research BACKGROUND: Sepsis is a life-threatening organ dysfunction caused by abnormal immune responses to various, predominantly bacterial, infections. Different bacterial infections lead to substantial variation in disease manifestation and therapeutic strategies. However, the underlying cellular heterogeneity and mechanisms involved remain poorly understood. METHODS: Multiple bulk transcriptome datasets from septic patients with 12 types of bacterial infections were integrated to identify signature genes for each infection. Signature genes were mapped onto an integrated large single-cell RNA (scRNA) dataset from septic patients, to identify subsets of cells associated with different sepsis types, and multiple omics datasets were combined to reveal the underlying molecular mechanisms. In addition, an scRNA dataset and spatial transcriptome data were used to identify signaling pathways in sepsis-related cells. Finally, molecular screening, optimization, and de novo design were conducted to identify potential targeted drugs and compounds. RESULTS: We elucidated the cellular heterogeneity among septic patients with different bacterial infections. In Escherichia coli (E. coli) sepsis, 19 signature genes involved in epigenetic regulation and metabolism were identified, of which DRAM1 was demonstrated to promote autophagy and glycolysis in response to E. coli infection. DRAM1 upregulation was confirmed in an independent sepsis cohort. Further, we showed that DRAM1 could maintain survival of a pro-inflammatory monocyte subset, C10_ULK1, which induces systemic inflammation by interacting with other cell subsets via resistin and integrin signaling pathways in blood and kidney tissue, respectively. Finally, retapamulin was identified and optimized as a potential drug for treatment of E. coli sepsis targeting the signature gene, DRAM1, and inhibiting E. coli protein synthesis. Several other targeted drugs were also identified in other types of sepsis, including nystatin targeting C1QA in Neisseria sepsis and dalfopristin targeting CTSD in Streptococcus viridans sepsis. CONCLUSION: Our study provides a comprehensive overview of the cellular heterogeneity and underlying mechanisms in septic patients with various bacterial infections, providing insights to inform development of stratified targeted therapies for sepsis. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12967-023-04631-4. BioMed Central 2023-11-02 /pmc/articles/PMC10621118/ /pubmed/37919720 http://dx.doi.org/10.1186/s12967-023-04631-4 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Sun, Ping Cui, Mintian Jing, Jiongjie Kong, Fanyu Wang, Shixi Tang, Lunxian Leng, Junling Chen, Kun Deciphering the molecular and cellular atlas of immune cells in septic patients with different bacterial infections |
title | Deciphering the molecular and cellular atlas of immune cells in septic patients with different bacterial infections |
title_full | Deciphering the molecular and cellular atlas of immune cells in septic patients with different bacterial infections |
title_fullStr | Deciphering the molecular and cellular atlas of immune cells in septic patients with different bacterial infections |
title_full_unstemmed | Deciphering the molecular and cellular atlas of immune cells in septic patients with different bacterial infections |
title_short | Deciphering the molecular and cellular atlas of immune cells in septic patients with different bacterial infections |
title_sort | deciphering the molecular and cellular atlas of immune cells in septic patients with different bacterial infections |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10621118/ https://www.ncbi.nlm.nih.gov/pubmed/37919720 http://dx.doi.org/10.1186/s12967-023-04631-4 |
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