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Challenging molecular dogmas in human sepsis using mathematical reasoning

Sepsis is defined as a dysregulated host-response to infection, across all ages and pathogens. What defines a dysregulated state remains intensively researched but incompletely understood. Here, we dissect the meaning of this definition and its importance for the diagnosis and management of sepsis....

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Autores principales: Ghazal, Peter, Rodrigues, Patricia R.S., Chakraborty, Mallinath, Oruganti, Siva, Woolley, Thomas E.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9079163/
https://www.ncbi.nlm.nih.gov/pubmed/35523015
http://dx.doi.org/10.1016/j.ebiom.2022.104031
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author Ghazal, Peter
Rodrigues, Patricia R.S.
Chakraborty, Mallinath
Oruganti, Siva
Woolley, Thomas E.
author_facet Ghazal, Peter
Rodrigues, Patricia R.S.
Chakraborty, Mallinath
Oruganti, Siva
Woolley, Thomas E.
author_sort Ghazal, Peter
collection PubMed
description Sepsis is defined as a dysregulated host-response to infection, across all ages and pathogens. What defines a dysregulated state remains intensively researched but incompletely understood. Here, we dissect the meaning of this definition and its importance for the diagnosis and management of sepsis. We deliberate on pathophysiological features and dogmas that range from cytokine storms and immune paralysis to dormancy and altered homeostasis setpoints. Mathematical reasoning, used to test for plausibility, reveals three interlinked cardinal rules governing host-response trajectories in sepsis. Rule one highlights that the amplitude of the immune response while important is not sufficient and is strictly dependent on rule two, specifying bioenergetic capacity and are together dynamically driven by rule three, delineating stability and alterations in setpoints. We consider these rules and associated pathophysiological parameters for guiding data-science and artificial intelligence mining of multi-omics and big-data for improving the precision of diagnostic and therapeutic approaches to sepsis. FUNDING: PG funded by the European Regional Development Fund and Welsh Government (Ser Cymru programme – Project Sepsis).
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spelling pubmed-90791632022-06-07 Challenging molecular dogmas in human sepsis using mathematical reasoning Ghazal, Peter Rodrigues, Patricia R.S. Chakraborty, Mallinath Oruganti, Siva Woolley, Thomas E. eBioMedicine Review Sepsis is defined as a dysregulated host-response to infection, across all ages and pathogens. What defines a dysregulated state remains intensively researched but incompletely understood. Here, we dissect the meaning of this definition and its importance for the diagnosis and management of sepsis. We deliberate on pathophysiological features and dogmas that range from cytokine storms and immune paralysis to dormancy and altered homeostasis setpoints. Mathematical reasoning, used to test for plausibility, reveals three interlinked cardinal rules governing host-response trajectories in sepsis. Rule one highlights that the amplitude of the immune response while important is not sufficient and is strictly dependent on rule two, specifying bioenergetic capacity and are together dynamically driven by rule three, delineating stability and alterations in setpoints. We consider these rules and associated pathophysiological parameters for guiding data-science and artificial intelligence mining of multi-omics and big-data for improving the precision of diagnostic and therapeutic approaches to sepsis. FUNDING: PG funded by the European Regional Development Fund and Welsh Government (Ser Cymru programme – Project Sepsis). Elsevier 2022-05-03 /pmc/articles/PMC9079163/ /pubmed/35523015 http://dx.doi.org/10.1016/j.ebiom.2022.104031 Text en © 2022 The Authors https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Review
Ghazal, Peter
Rodrigues, Patricia R.S.
Chakraborty, Mallinath
Oruganti, Siva
Woolley, Thomas E.
Challenging molecular dogmas in human sepsis using mathematical reasoning
title Challenging molecular dogmas in human sepsis using mathematical reasoning
title_full Challenging molecular dogmas in human sepsis using mathematical reasoning
title_fullStr Challenging molecular dogmas in human sepsis using mathematical reasoning
title_full_unstemmed Challenging molecular dogmas in human sepsis using mathematical reasoning
title_short Challenging molecular dogmas in human sepsis using mathematical reasoning
title_sort challenging molecular dogmas in human sepsis using mathematical reasoning
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9079163/
https://www.ncbi.nlm.nih.gov/pubmed/35523015
http://dx.doi.org/10.1016/j.ebiom.2022.104031
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