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Unbalanced networks and disturbed kinetics of serum soluble mediators associated with distinct disease outcomes in severe COVID-19 patients
The present study applied distinct models of descriptive analysis to explore the integrative networks and the kinetic timeline of serum soluble mediators to select a set of systemic biomarkers applicable for the clinical management of COVID-19 patients. For this purpose, a total of 246 participants...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9701840/ https://www.ncbi.nlm.nih.gov/pubmed/36451835 http://dx.doi.org/10.3389/fimmu.2022.1004023 |
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author | Jardim-Santos, Gabriela Profírio Schulte, Heidi Luise Kurizky, Patricia Shu Gomes, Ciro Martins Nóbrega, Otávio Tolêdo de Gois, Eliana Teles de Carvalho, Maíra Rocha Machado Martins, Francielle Pulccinelli Nicola, André Moraes de Albuquerque, Cleandro Pires Espindola, Laila Salmen Naves, Luciana Ansaneli Soares, Alexandre Anderson de Sousa Munhoz Albuquerque, Patrícia Fontes, Wagner do Amaral, Laurence Rodrigues Gomes, Matheus de Souza Bertarini, Pedro Luiz Lima Brito-de-Sousa, Joaquim Pedro Campi-Azevedo, Ana Carolina Peruhype-Magalhães, Vanessa Teixeira-Carvalho, Andrea Valim, Valéria Martins-Filho, Olindo Assis da Mota, Licia Maria Henrique |
author_facet | Jardim-Santos, Gabriela Profírio Schulte, Heidi Luise Kurizky, Patricia Shu Gomes, Ciro Martins Nóbrega, Otávio Tolêdo de Gois, Eliana Teles de Carvalho, Maíra Rocha Machado Martins, Francielle Pulccinelli Nicola, André Moraes de Albuquerque, Cleandro Pires Espindola, Laila Salmen Naves, Luciana Ansaneli Soares, Alexandre Anderson de Sousa Munhoz Albuquerque, Patrícia Fontes, Wagner do Amaral, Laurence Rodrigues Gomes, Matheus de Souza Bertarini, Pedro Luiz Lima Brito-de-Sousa, Joaquim Pedro Campi-Azevedo, Ana Carolina Peruhype-Magalhães, Vanessa Teixeira-Carvalho, Andrea Valim, Valéria Martins-Filho, Olindo Assis da Mota, Licia Maria Henrique |
author_sort | Jardim-Santos, Gabriela Profírio |
collection | PubMed |
description | The present study applied distinct models of descriptive analysis to explore the integrative networks and the kinetic timeline of serum soluble mediators to select a set of systemic biomarkers applicable for the clinical management of COVID-19 patients. For this purpose, a total of 246 participants (82 COVID-19 and 164 healthy controls – HC) were enrolled in a prospective observational study. Serum soluble mediators were quantified by high-throughput microbeads array on hospital admission (D0) and at consecutive timepoints (D1-6 and D7-20). The results reinforce that the COVID-19 group exhibited a massive storm of serum soluble mediators. While increased levels of CCL3 and G-CSF were associated with the favorable prognosis of non-mechanical ventilation (nMV) or discharge, high levels of CXCL10 and IL-6 were observed in patients progressing to mechanical ventilation (MV) or death. At the time of admission, COVID-19 patients presented a complex and robust serum soluble mediator network, with a higher number of strong correlations involving IFN-γ, IL-1Ra and IL-9 observed in patients progressing to MV or death. Multivariate regression analysis demonstrates the ability of serum soluble mediators to cluster COVID-19 from HC. Ascendant fold change signatures and the kinetic timeline analysis further confirmed that the pairs “CCL3 and G-CSF” and “CXCL10 and IL-6” were associated with favorable or poor prognosis, respectively. A selected set of systemic mediators (IL-6, IFN-γ, IL-1Ra, IL-13, PDGF and IL-7) were identified as putative laboratory markers, applicable as complementary records for the clinical management of patients with severe COVID-19. |
format | Online Article Text |
id | pubmed-9701840 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-97018402022-11-29 Unbalanced networks and disturbed kinetics of serum soluble mediators associated with distinct disease outcomes in severe COVID-19 patients Jardim-Santos, Gabriela Profírio Schulte, Heidi Luise Kurizky, Patricia Shu Gomes, Ciro Martins Nóbrega, Otávio Tolêdo de Gois, Eliana Teles de Carvalho, Maíra Rocha Machado Martins, Francielle Pulccinelli Nicola, André Moraes de Albuquerque, Cleandro Pires Espindola, Laila Salmen Naves, Luciana Ansaneli Soares, Alexandre Anderson de Sousa Munhoz Albuquerque, Patrícia Fontes, Wagner do Amaral, Laurence Rodrigues Gomes, Matheus de Souza Bertarini, Pedro Luiz Lima Brito-de-Sousa, Joaquim Pedro Campi-Azevedo, Ana Carolina Peruhype-Magalhães, Vanessa Teixeira-Carvalho, Andrea Valim, Valéria Martins-Filho, Olindo Assis da Mota, Licia Maria Henrique Front Immunol Immunology The present study applied distinct models of descriptive analysis to explore the integrative networks and the kinetic timeline of serum soluble mediators to select a set of systemic biomarkers applicable for the clinical management of COVID-19 patients. For this purpose, a total of 246 participants (82 COVID-19 and 164 healthy controls – HC) were enrolled in a prospective observational study. Serum soluble mediators were quantified by high-throughput microbeads array on hospital admission (D0) and at consecutive timepoints (D1-6 and D7-20). The results reinforce that the COVID-19 group exhibited a massive storm of serum soluble mediators. While increased levels of CCL3 and G-CSF were associated with the favorable prognosis of non-mechanical ventilation (nMV) or discharge, high levels of CXCL10 and IL-6 were observed in patients progressing to mechanical ventilation (MV) or death. At the time of admission, COVID-19 patients presented a complex and robust serum soluble mediator network, with a higher number of strong correlations involving IFN-γ, IL-1Ra and IL-9 observed in patients progressing to MV or death. Multivariate regression analysis demonstrates the ability of serum soluble mediators to cluster COVID-19 from HC. Ascendant fold change signatures and the kinetic timeline analysis further confirmed that the pairs “CCL3 and G-CSF” and “CXCL10 and IL-6” were associated with favorable or poor prognosis, respectively. A selected set of systemic mediators (IL-6, IFN-γ, IL-1Ra, IL-13, PDGF and IL-7) were identified as putative laboratory markers, applicable as complementary records for the clinical management of patients with severe COVID-19. Frontiers Media S.A. 2022-11-14 /pmc/articles/PMC9701840/ /pubmed/36451835 http://dx.doi.org/10.3389/fimmu.2022.1004023 Text en Copyright © 2022 Jardim-Santos, Schulte, Kurizky, Gomes, Nóbrega, de Gois, de Carvalho, Martins, Nicola, de Albuquerque, Espindola, Naves, Soares, Albuquerque, Fontes, Amaral, Gomes, Bertarini, Brito-de-Sousa, Campi-Azevedo, Peruhype-Magalhães, Teixeira-Carvalho, Valim, Martins-Filho and da Mota https://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 | Immunology Jardim-Santos, Gabriela Profírio Schulte, Heidi Luise Kurizky, Patricia Shu Gomes, Ciro Martins Nóbrega, Otávio Tolêdo de Gois, Eliana Teles de Carvalho, Maíra Rocha Machado Martins, Francielle Pulccinelli Nicola, André Moraes de Albuquerque, Cleandro Pires Espindola, Laila Salmen Naves, Luciana Ansaneli Soares, Alexandre Anderson de Sousa Munhoz Albuquerque, Patrícia Fontes, Wagner do Amaral, Laurence Rodrigues Gomes, Matheus de Souza Bertarini, Pedro Luiz Lima Brito-de-Sousa, Joaquim Pedro Campi-Azevedo, Ana Carolina Peruhype-Magalhães, Vanessa Teixeira-Carvalho, Andrea Valim, Valéria Martins-Filho, Olindo Assis da Mota, Licia Maria Henrique Unbalanced networks and disturbed kinetics of serum soluble mediators associated with distinct disease outcomes in severe COVID-19 patients |
title | Unbalanced networks and disturbed kinetics of serum soluble mediators associated with distinct disease outcomes in severe COVID-19 patients |
title_full | Unbalanced networks and disturbed kinetics of serum soluble mediators associated with distinct disease outcomes in severe COVID-19 patients |
title_fullStr | Unbalanced networks and disturbed kinetics of serum soluble mediators associated with distinct disease outcomes in severe COVID-19 patients |
title_full_unstemmed | Unbalanced networks and disturbed kinetics of serum soluble mediators associated with distinct disease outcomes in severe COVID-19 patients |
title_short | Unbalanced networks and disturbed kinetics of serum soluble mediators associated with distinct disease outcomes in severe COVID-19 patients |
title_sort | unbalanced networks and disturbed kinetics of serum soluble mediators associated with distinct disease outcomes in severe covid-19 patients |
topic | Immunology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9701840/ https://www.ncbi.nlm.nih.gov/pubmed/36451835 http://dx.doi.org/10.3389/fimmu.2022.1004023 |
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