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Murine sepsis phenotypes and differential treatment effects in a randomized trial of prompt antibiotics and fluids

BACKGROUND: Clinical and biologic phenotypes of sepsis are proposed in human studies, yet it is unknown whether prognostic or drug response phenotypes are present in animal models of sepsis. Using a biotelemetry-enhanced, murine cecal ligation and puncture (CLP) model, we determined phenotypes of po...

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Autores principales: Seymour, Christopher W., Kerti, Samantha J., Lewis, Anthony J., Kennedy, Jason, Brant, Emily, Griepentrog, John E., Zhang, Xianghong, Angus, Derek C., Chang, Chung-Chou H., Rosengart, Matthew R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6883631/
https://www.ncbi.nlm.nih.gov/pubmed/31779663
http://dx.doi.org/10.1186/s13054-019-2655-7
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author Seymour, Christopher W.
Kerti, Samantha J.
Lewis, Anthony J.
Kennedy, Jason
Brant, Emily
Griepentrog, John E.
Zhang, Xianghong
Angus, Derek C.
Chang, Chung-Chou H.
Rosengart, Matthew R.
author_facet Seymour, Christopher W.
Kerti, Samantha J.
Lewis, Anthony J.
Kennedy, Jason
Brant, Emily
Griepentrog, John E.
Zhang, Xianghong
Angus, Derek C.
Chang, Chung-Chou H.
Rosengart, Matthew R.
author_sort Seymour, Christopher W.
collection PubMed
description BACKGROUND: Clinical and biologic phenotypes of sepsis are proposed in human studies, yet it is unknown whether prognostic or drug response phenotypes are present in animal models of sepsis. Using a biotelemetry-enhanced, murine cecal ligation and puncture (CLP) model, we determined phenotypes of polymicrobial sepsis prior to physiologic deterioration, and the association between phenotypes and outcome in a randomized trial of prompt or delayed antibiotics and fluids. METHODS: We performed a secondary analysis of male C57BL/6J mice in two observational cohorts and two randomized, laboratory animal experimental trials. In cohort 1, mice (n = 118) underwent biotelemetry-enhanced CLP, and we applied latent class mixed models to determine optimal number of phenotypes using clinical data collected between injury and physiologic deterioration. In cohort 2 (N = 73 mice), inflammatory cytokines measured at 24 h after deterioration were explored by phenotype. In a subset of 46 mice enrolled in two trials from cohort 1, we tested the association of phenotypes with the response to immediate (0 h) vs. delayed (2 to 4 h) antibiotics or fluids initiated after physiologic deterioration. RESULTS: Latent class mixture modeling derived a two-class model in cohort 1. Class 2 (N = 97) demonstrated a shorter time to deterioration (mean SD 7.3 (0.9) vs. 9.7 (3.2) h, p < 0.001) and lower heart rate at 7 h after injury (mean (SD) 564 (55) vs. 626 (35) beats per minute, p < 0.001). Overall mortality was similar between phenotypes (p = 0.75). In cohort 2 used for biomarker measurement, class 2 mice had greater plasma concentrations of IL6 and IL10 at 24 h after CLP (p = 0.05). In pilot randomized trials, the effects of sepsis treatment (immediate vs. delayed antibiotics) differed by phenotype (p = 0.03), with immediate treatment associated with greater survival in class 2 mice only. Similar differential treatment effect by class was observed in the trial of immediate vs. delayed fluids (p = 0.02). CONCLUSIONS: We identified two sepsis phenotypes in a murine cecal ligation and puncture model, one of which is characterized by faster deterioration and more severe inflammation. Response to treatment in a randomized trial of immediate versus delayed antibiotics and fluids differed on the basis of phenotype.
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spelling pubmed-68836312019-12-03 Murine sepsis phenotypes and differential treatment effects in a randomized trial of prompt antibiotics and fluids Seymour, Christopher W. Kerti, Samantha J. Lewis, Anthony J. Kennedy, Jason Brant, Emily Griepentrog, John E. Zhang, Xianghong Angus, Derek C. Chang, Chung-Chou H. Rosengart, Matthew R. Crit Care Research BACKGROUND: Clinical and biologic phenotypes of sepsis are proposed in human studies, yet it is unknown whether prognostic or drug response phenotypes are present in animal models of sepsis. Using a biotelemetry-enhanced, murine cecal ligation and puncture (CLP) model, we determined phenotypes of polymicrobial sepsis prior to physiologic deterioration, and the association between phenotypes and outcome in a randomized trial of prompt or delayed antibiotics and fluids. METHODS: We performed a secondary analysis of male C57BL/6J mice in two observational cohorts and two randomized, laboratory animal experimental trials. In cohort 1, mice (n = 118) underwent biotelemetry-enhanced CLP, and we applied latent class mixed models to determine optimal number of phenotypes using clinical data collected between injury and physiologic deterioration. In cohort 2 (N = 73 mice), inflammatory cytokines measured at 24 h after deterioration were explored by phenotype. In a subset of 46 mice enrolled in two trials from cohort 1, we tested the association of phenotypes with the response to immediate (0 h) vs. delayed (2 to 4 h) antibiotics or fluids initiated after physiologic deterioration. RESULTS: Latent class mixture modeling derived a two-class model in cohort 1. Class 2 (N = 97) demonstrated a shorter time to deterioration (mean SD 7.3 (0.9) vs. 9.7 (3.2) h, p < 0.001) and lower heart rate at 7 h after injury (mean (SD) 564 (55) vs. 626 (35) beats per minute, p < 0.001). Overall mortality was similar between phenotypes (p = 0.75). In cohort 2 used for biomarker measurement, class 2 mice had greater plasma concentrations of IL6 and IL10 at 24 h after CLP (p = 0.05). In pilot randomized trials, the effects of sepsis treatment (immediate vs. delayed antibiotics) differed by phenotype (p = 0.03), with immediate treatment associated with greater survival in class 2 mice only. Similar differential treatment effect by class was observed in the trial of immediate vs. delayed fluids (p = 0.02). CONCLUSIONS: We identified two sepsis phenotypes in a murine cecal ligation and puncture model, one of which is characterized by faster deterioration and more severe inflammation. Response to treatment in a randomized trial of immediate versus delayed antibiotics and fluids differed on the basis of phenotype. BioMed Central 2019-11-28 /pmc/articles/PMC6883631/ /pubmed/31779663 http://dx.doi.org/10.1186/s13054-019-2655-7 Text en © The Author(s). 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research
Seymour, Christopher W.
Kerti, Samantha J.
Lewis, Anthony J.
Kennedy, Jason
Brant, Emily
Griepentrog, John E.
Zhang, Xianghong
Angus, Derek C.
Chang, Chung-Chou H.
Rosengart, Matthew R.
Murine sepsis phenotypes and differential treatment effects in a randomized trial of prompt antibiotics and fluids
title Murine sepsis phenotypes and differential treatment effects in a randomized trial of prompt antibiotics and fluids
title_full Murine sepsis phenotypes and differential treatment effects in a randomized trial of prompt antibiotics and fluids
title_fullStr Murine sepsis phenotypes and differential treatment effects in a randomized trial of prompt antibiotics and fluids
title_full_unstemmed Murine sepsis phenotypes and differential treatment effects in a randomized trial of prompt antibiotics and fluids
title_short Murine sepsis phenotypes and differential treatment effects in a randomized trial of prompt antibiotics and fluids
title_sort murine sepsis phenotypes and differential treatment effects in a randomized trial of prompt antibiotics and fluids
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6883631/
https://www.ncbi.nlm.nih.gov/pubmed/31779663
http://dx.doi.org/10.1186/s13054-019-2655-7
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