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Cytokine and Chemokine Profiling in Cats With Sepsis and Septic Shock

Background: Sepsis is a life-threatening condition associated with an exacerbated production of both pro- and anti-inflammatory cytokines that can promote a hyperactive response to infection or induce immunoparalysis. Data regarding the immune response to sepsis in cats are scarce. Establishing the...

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Autores principales: Troia, Roberta, Mascalzoni, Giulia, Agnoli, Chiara, Lalonde-Paul, Denise, Giunti, Massimo, Goggs, Robert
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7273843/
https://www.ncbi.nlm.nih.gov/pubmed/32548135
http://dx.doi.org/10.3389/fvets.2020.00305
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author Troia, Roberta
Mascalzoni, Giulia
Agnoli, Chiara
Lalonde-Paul, Denise
Giunti, Massimo
Goggs, Robert
author_facet Troia, Roberta
Mascalzoni, Giulia
Agnoli, Chiara
Lalonde-Paul, Denise
Giunti, Massimo
Goggs, Robert
author_sort Troia, Roberta
collection PubMed
description Background: Sepsis is a life-threatening condition associated with an exacerbated production of both pro- and anti-inflammatory cytokines that can promote a hyperactive response to infection or induce immunoparalysis. Data regarding the immune response to sepsis in cats are scarce. Establishing the profiles of cytokines and chemokines in feline sepsis to characterize the nature of the immune responses to sepsis might enable individualized treatments to be developed and targeted. Objective: To evaluate the cytokine and chemokine network in cats with sepsis and septic shock, and to investigate the associations of these analytes with disease severity and outcome. Methods: Blood samples prospectively collected at presentation of cats with sepsis and septic shock to two veterinary teaching hospitals were analyzed. Forty healthy cats were included as controls. A 19-plex feline cytokine/chemokine magnetic bead assay system was used to measure analytes in citrated plasma samples. Cytokine concentrations were compared between groups using the Kruskal-Wallis test with Dunn's post-hoc correction for multiple comparisons. Cytokine concentrations were compared between survivors and non-survivors with the Mann-Whitney U test. Odds ratios were calculated using logistic regression. A multivariable logistic regression model for prediction of septic shock was constructed. Results: The study enrolled 35 septic cats. Many cytokines were undetectable in both sick and healthy control cats and were excluded from subsequent analyses. Comparisons of cytokine concentrations among healthy controls, cats with sepsis (n = 12) and cats with septic shock (n = 23) revealed that sick cats (sepsis or septic shock) had significantly higher plasma concentrations of IL-6, IL-8, KC-like, and RANTES compared to healthy controls. The combination of MCP-1, Flt-3L, and IL-12 was predictive of septic shock. None of the cytokines analyzed was predictive of outcome in this study population. Conclusion: Plasma concentrations of IL-6, IL-8, KC-like, and RANTES are increased in cats with sepsis and may play important roles in pathogenesis. Multivariable modeling suggested that analysis of cytokines might aid differentiation of septic shock from sepsis. None of the cytokines analyzed was predictive of outcome. Measurement of these cytokines might enable future studies to better diagnose and characterize feline sepsis and septic shock.
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spelling pubmed-72738432020-06-15 Cytokine and Chemokine Profiling in Cats With Sepsis and Septic Shock Troia, Roberta Mascalzoni, Giulia Agnoli, Chiara Lalonde-Paul, Denise Giunti, Massimo Goggs, Robert Front Vet Sci Veterinary Science Background: Sepsis is a life-threatening condition associated with an exacerbated production of both pro- and anti-inflammatory cytokines that can promote a hyperactive response to infection or induce immunoparalysis. Data regarding the immune response to sepsis in cats are scarce. Establishing the profiles of cytokines and chemokines in feline sepsis to characterize the nature of the immune responses to sepsis might enable individualized treatments to be developed and targeted. Objective: To evaluate the cytokine and chemokine network in cats with sepsis and septic shock, and to investigate the associations of these analytes with disease severity and outcome. Methods: Blood samples prospectively collected at presentation of cats with sepsis and septic shock to two veterinary teaching hospitals were analyzed. Forty healthy cats were included as controls. A 19-plex feline cytokine/chemokine magnetic bead assay system was used to measure analytes in citrated plasma samples. Cytokine concentrations were compared between groups using the Kruskal-Wallis test with Dunn's post-hoc correction for multiple comparisons. Cytokine concentrations were compared between survivors and non-survivors with the Mann-Whitney U test. Odds ratios were calculated using logistic regression. A multivariable logistic regression model for prediction of septic shock was constructed. Results: The study enrolled 35 septic cats. Many cytokines were undetectable in both sick and healthy control cats and were excluded from subsequent analyses. Comparisons of cytokine concentrations among healthy controls, cats with sepsis (n = 12) and cats with septic shock (n = 23) revealed that sick cats (sepsis or septic shock) had significantly higher plasma concentrations of IL-6, IL-8, KC-like, and RANTES compared to healthy controls. The combination of MCP-1, Flt-3L, and IL-12 was predictive of septic shock. None of the cytokines analyzed was predictive of outcome in this study population. Conclusion: Plasma concentrations of IL-6, IL-8, KC-like, and RANTES are increased in cats with sepsis and may play important roles in pathogenesis. Multivariable modeling suggested that analysis of cytokines might aid differentiation of septic shock from sepsis. None of the cytokines analyzed was predictive of outcome. Measurement of these cytokines might enable future studies to better diagnose and characterize feline sepsis and septic shock. Frontiers Media S.A. 2020-05-29 /pmc/articles/PMC7273843/ /pubmed/32548135 http://dx.doi.org/10.3389/fvets.2020.00305 Text en Copyright © 2020 Troia, Mascalzoni, Agnoli, Lalonde-Paul, Giunti and Goggs. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Veterinary Science
Troia, Roberta
Mascalzoni, Giulia
Agnoli, Chiara
Lalonde-Paul, Denise
Giunti, Massimo
Goggs, Robert
Cytokine and Chemokine Profiling in Cats With Sepsis and Septic Shock
title Cytokine and Chemokine Profiling in Cats With Sepsis and Septic Shock
title_full Cytokine and Chemokine Profiling in Cats With Sepsis and Septic Shock
title_fullStr Cytokine and Chemokine Profiling in Cats With Sepsis and Septic Shock
title_full_unstemmed Cytokine and Chemokine Profiling in Cats With Sepsis and Septic Shock
title_short Cytokine and Chemokine Profiling in Cats With Sepsis and Septic Shock
title_sort cytokine and chemokine profiling in cats with sepsis and septic shock
topic Veterinary Science
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7273843/
https://www.ncbi.nlm.nih.gov/pubmed/32548135
http://dx.doi.org/10.3389/fvets.2020.00305
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