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APRIL and sTACI could be predictors of multiorgan dysfunction syndrome in sepsis

Although the role of B cells in sepsis immunoregulation has become an interesting topic, there is lack of data on the role of B cell function regulators in prediction of multiorgan dysfunction syndrome (MODS). The aim of this study was to evaluate the prognostic value of A Proliferation Inducing Lig...

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Autores principales: Lendak, Dajana F., Mihajlović, Dunja M., Novakov-Mikić, Aleksandra S., Boban, Jasmina M., Ubavić, Milan, Brkić, Snežana V.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Taylor & Francis 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7000195/
https://www.ncbi.nlm.nih.gov/pubmed/29781374
http://dx.doi.org/10.1080/21505594.2018.1462636
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author Lendak, Dajana F.
Mihajlović, Dunja M.
Novakov-Mikić, Aleksandra S.
Boban, Jasmina M.
Ubavić, Milan
Brkić, Snežana V.
author_facet Lendak, Dajana F.
Mihajlović, Dunja M.
Novakov-Mikić, Aleksandra S.
Boban, Jasmina M.
Ubavić, Milan
Brkić, Snežana V.
author_sort Lendak, Dajana F.
collection PubMed
description Although the role of B cells in sepsis immunoregulation has become an interesting topic, there is lack of data on the role of B cell function regulators in prediction of multiorgan dysfunction syndrome (MODS). The aim of this study was to evaluate the prognostic value of A Proliferation Inducing Ligand (APRIL) and soluble Transmembrane Activator and CAML Interactor Protein (sTACI), the main B cell function regulators, in prediction of MODS development within the first 48 h after admission to intensive care unit, among septic patients. We included 112 patients with sepsis, treated at Clinic for Infectious Diseases and Emergency Center, Clinical Center of Vojvodina, Novi Sad, Serbia. Plasma concentrations of APRIL and sTACI were determined at the admission and potential development of MODS was confirmed in the first 48 h. Concentrations of APRIL (p = 0.003) and sTACI (p<0.001) were higher in patients who developed MODS (n = 30). ROC curve analysis showed that AUC for sTACI (AUC = 0.764) was greater than that for procalcitonin (AUC = 0.719) and APRIL (AUC = 0.673) in MODS development prediction. Multivariate regression analysis showed that sTACI, as an anti-inflammatory biomarker stimulating the apoptosis of B cells, was the only independent predictor of MODS, beside SOFA score. Elevated level of sTACI could be the alarm for the increased B cell apoptosis and development of immune paralysis. Including these biomarkers into predictive scores specific for septic patients may potentially improve their sensitivity and specificity. Measurement of their concentrations dynamics could contribute to better assessment of sepsis evolution and timely introduction of immunomodulatory therapy.
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spelling pubmed-70001952020-02-19 APRIL and sTACI could be predictors of multiorgan dysfunction syndrome in sepsis Lendak, Dajana F. Mihajlović, Dunja M. Novakov-Mikić, Aleksandra S. Boban, Jasmina M. Ubavić, Milan Brkić, Snežana V. Virulence Letter Although the role of B cells in sepsis immunoregulation has become an interesting topic, there is lack of data on the role of B cell function regulators in prediction of multiorgan dysfunction syndrome (MODS). The aim of this study was to evaluate the prognostic value of A Proliferation Inducing Ligand (APRIL) and soluble Transmembrane Activator and CAML Interactor Protein (sTACI), the main B cell function regulators, in prediction of MODS development within the first 48 h after admission to intensive care unit, among septic patients. We included 112 patients with sepsis, treated at Clinic for Infectious Diseases and Emergency Center, Clinical Center of Vojvodina, Novi Sad, Serbia. Plasma concentrations of APRIL and sTACI were determined at the admission and potential development of MODS was confirmed in the first 48 h. Concentrations of APRIL (p = 0.003) and sTACI (p<0.001) were higher in patients who developed MODS (n = 30). ROC curve analysis showed that AUC for sTACI (AUC = 0.764) was greater than that for procalcitonin (AUC = 0.719) and APRIL (AUC = 0.673) in MODS development prediction. Multivariate regression analysis showed that sTACI, as an anti-inflammatory biomarker stimulating the apoptosis of B cells, was the only independent predictor of MODS, beside SOFA score. Elevated level of sTACI could be the alarm for the increased B cell apoptosis and development of immune paralysis. Including these biomarkers into predictive scores specific for septic patients may potentially improve their sensitivity and specificity. Measurement of their concentrations dynamics could contribute to better assessment of sepsis evolution and timely introduction of immunomodulatory therapy. Taylor & Francis 2018-05-23 /pmc/articles/PMC7000195/ /pubmed/29781374 http://dx.doi.org/10.1080/21505594.2018.1462636 Text en © 2018 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group http://creativecommons.org/licenses/by-nc/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial License (http://creativecommons.org/licenses/by-nc/4.0/), which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Letter
Lendak, Dajana F.
Mihajlović, Dunja M.
Novakov-Mikić, Aleksandra S.
Boban, Jasmina M.
Ubavić, Milan
Brkić, Snežana V.
APRIL and sTACI could be predictors of multiorgan dysfunction syndrome in sepsis
title APRIL and sTACI could be predictors of multiorgan dysfunction syndrome in sepsis
title_full APRIL and sTACI could be predictors of multiorgan dysfunction syndrome in sepsis
title_fullStr APRIL and sTACI could be predictors of multiorgan dysfunction syndrome in sepsis
title_full_unstemmed APRIL and sTACI could be predictors of multiorgan dysfunction syndrome in sepsis
title_short APRIL and sTACI could be predictors of multiorgan dysfunction syndrome in sepsis
title_sort april and staci could be predictors of multiorgan dysfunction syndrome in sepsis
topic Letter
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7000195/
https://www.ncbi.nlm.nih.gov/pubmed/29781374
http://dx.doi.org/10.1080/21505594.2018.1462636
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