DataSheet1_Assessing sepsis-induced immunosuppression to predict positive blood cultures.pdf

Introduction<p>Bacteremia is a life-threatening condition that can progress to sepsis and septic shock, leading to significant mortality in the emergency department (ED). The standard diagnostic method, blood culture, is time-consuming and prone to false positives and false negatives. Although...

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التفاصيل البيبلوغرافية
المؤلف الرئيسي: Enrique Hernández-Jiménez (559505) (author)
مؤلفون آخرون: Erika P. Plata-Menchaca (20102469) (author), Damaris Berbel (20102472) (author), Guillem López de Egea (20102475) (author), Macarena Dastis-Arias (7587032) (author), Laura García-Tejada (20102478) (author), Fabrizio Sbraga (20102481) (author), Pierre Malchair (12410313) (author), Nadia García Muñoz (20102484) (author), Alejandra Larrad Blasco (20102487) (author), Eva Molina Ramírez (20102490) (author), Xose Pérez Fernández (20102493) (author), Joan Sabater Riera (15295586) (author), Arnau Ulsamer (20102496) (author)
منشور في: 2024
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author Enrique Hernández-Jiménez (559505)
author2 Erika P. Plata-Menchaca (20102469)
Damaris Berbel (20102472)
Guillem López de Egea (20102475)
Macarena Dastis-Arias (7587032)
Laura García-Tejada (20102478)
Fabrizio Sbraga (20102481)
Pierre Malchair (12410313)
Nadia García Muñoz (20102484)
Alejandra Larrad Blasco (20102487)
Eva Molina Ramírez (20102490)
Xose Pérez Fernández (20102493)
Joan Sabater Riera (15295586)
Arnau Ulsamer (20102496)
author2_role author
author
author
author
author
author
author
author
author
author
author
author
author
author_facet Enrique Hernández-Jiménez (559505)
Erika P. Plata-Menchaca (20102469)
Damaris Berbel (20102472)
Guillem López de Egea (20102475)
Macarena Dastis-Arias (7587032)
Laura García-Tejada (20102478)
Fabrizio Sbraga (20102481)
Pierre Malchair (12410313)
Nadia García Muñoz (20102484)
Alejandra Larrad Blasco (20102487)
Eva Molina Ramírez (20102490)
Xose Pérez Fernández (20102493)
Joan Sabater Riera (15295586)
Arnau Ulsamer (20102496)
author_role author
dc.creator.none.fl_str_mv Enrique Hernández-Jiménez (559505)
Erika P. Plata-Menchaca (20102469)
Damaris Berbel (20102472)
Guillem López de Egea (20102475)
Macarena Dastis-Arias (7587032)
Laura García-Tejada (20102478)
Fabrizio Sbraga (20102481)
Pierre Malchair (12410313)
Nadia García Muñoz (20102484)
Alejandra Larrad Blasco (20102487)
Eva Molina Ramírez (20102490)
Xose Pérez Fernández (20102493)
Joan Sabater Riera (15295586)
Arnau Ulsamer (20102496)
dc.date.none.fl_str_mv 2024-11-04T04:02:08Z
dc.identifier.none.fl_str_mv 10.3389/fimmu.2024.1447523.s001
dc.relation.none.fl_str_mv https://figshare.com/articles/dataset/DataSheet1_Assessing_sepsis-induced_immunosuppression_to_predict_positive_blood_cultures_pdf/27600822
dc.rights.none.fl_str_mv CC BY 4.0
info:eu-repo/semantics/openAccess
dc.subject.none.fl_str_mv Immunology
Applied Immunology (incl. Antibody Engineering, Xenotransplantation and T-cell Therapies)
Autoimmunity
Cellular Immunology
Humoural Immunology and Immunochemistry
Immunogenetics (incl. Genetic Immunology)
Innate Immunity
Transplantation Immunology
Tumour Immunology
Immunology not elsewhere classified
Genetic Immunology
Animal Immunology
Veterinary Immunology
bacteremia
sepsis
endotoxin tolerance
immunosuppression
blood culture
TNFα
LPS
biomarkers
dc.title.none.fl_str_mv DataSheet1_Assessing sepsis-induced immunosuppression to predict positive blood cultures.pdf
dc.type.none.fl_str_mv Dataset
info:eu-repo/semantics/publishedVersion
dataset
description Introduction<p>Bacteremia is a life-threatening condition that can progress to sepsis and septic shock, leading to significant mortality in the emergency department (ED). The standard diagnostic method, blood culture, is time-consuming and prone to false positives and false negatives. Although not widely accepted, several clinical and artificial intelligence-based algorithms have been recently developed to predict bacteremia. However, these strategies require further identification of new variables to improve their diagnostic accuracy. This study proposes a novel strategy to predict positive blood cultures by assessing sepsis-induced immunosuppression status through endotoxin tolerance assessment.</p>Methods<p>Optimal assay conditions have been explored and tested in sepsis-suspected patients meeting the Sepsis-3 criteria. Blood samples were collected at ED admission, and endotoxin (lipopolysaccharide, LPS) challenge was performed to evaluate the innate immune response through cytokine profiling.</p>Results<p>Clinical variables, immune cell population biomarkers, and cytokine levels (tumor necrosis factor [TNFα], IL-1β, IL-6, IL-8, and IL-10) were measured. Patients with positive blood cultures exhibited significantly lower TNFα production after LPS challenge than did those with negative blood cultures. The study also included a validation cohort to confirm that the response was consistent.</p>Discussion<p>The results of this study highlight the innate immune system immunosuppression state as a critical parameter for sepsis diagnosis. Notably, the present study identified a reduction in monocyte populations and specific cytokine profiles as potential predictive markers. This study showed that the LPS challenge can be used to effectively distinguish between patients with bloodstream infection leading to sepsis and those whose blood cultures are negative, providinga rapid and reliable diagnostic tool to predict positive blood cultures. The potential applicability of these findings could enhance clinical practice in terms of the accuracy and promptness of sepsis diagnosis in the ED, improving patient outcomes through timely and appropriate treatment.</p>
eu_rights_str_mv openAccess
id Manara_cf799e9f13a27f80ddda46bbbed0d262
identifier_str_mv 10.3389/fimmu.2024.1447523.s001
network_acronym_str Manara
network_name_str ManaraRepo
oai_identifier_str oai:figshare.com:article/27600822
publishDate 2024
repository.mail.fl_str_mv
repository.name.fl_str_mv
repository_id_str
rights_invalid_str_mv CC BY 4.0
spelling DataSheet1_Assessing sepsis-induced immunosuppression to predict positive blood cultures.pdfEnrique Hernández-Jiménez (559505)Erika P. Plata-Menchaca (20102469)Damaris Berbel (20102472)Guillem López de Egea (20102475)Macarena Dastis-Arias (7587032)Laura García-Tejada (20102478)Fabrizio Sbraga (20102481)Pierre Malchair (12410313)Nadia García Muñoz (20102484)Alejandra Larrad Blasco (20102487)Eva Molina Ramírez (20102490)Xose Pérez Fernández (20102493)Joan Sabater Riera (15295586)Arnau Ulsamer (20102496)ImmunologyApplied Immunology (incl. Antibody Engineering, Xenotransplantation and T-cell Therapies)AutoimmunityCellular ImmunologyHumoural Immunology and ImmunochemistryImmunogenetics (incl. Genetic Immunology)Innate ImmunityTransplantation ImmunologyTumour ImmunologyImmunology not elsewhere classifiedGenetic ImmunologyAnimal ImmunologyVeterinary Immunologybacteremiasepsisendotoxin toleranceimmunosuppressionblood cultureTNFαLPSbiomarkersIntroduction<p>Bacteremia is a life-threatening condition that can progress to sepsis and septic shock, leading to significant mortality in the emergency department (ED). The standard diagnostic method, blood culture, is time-consuming and prone to false positives and false negatives. Although not widely accepted, several clinical and artificial intelligence-based algorithms have been recently developed to predict bacteremia. However, these strategies require further identification of new variables to improve their diagnostic accuracy. This study proposes a novel strategy to predict positive blood cultures by assessing sepsis-induced immunosuppression status through endotoxin tolerance assessment.</p>Methods<p>Optimal assay conditions have been explored and tested in sepsis-suspected patients meeting the Sepsis-3 criteria. Blood samples were collected at ED admission, and endotoxin (lipopolysaccharide, LPS) challenge was performed to evaluate the innate immune response through cytokine profiling.</p>Results<p>Clinical variables, immune cell population biomarkers, and cytokine levels (tumor necrosis factor [TNFα], IL-1β, IL-6, IL-8, and IL-10) were measured. Patients with positive blood cultures exhibited significantly lower TNFα production after LPS challenge than did those with negative blood cultures. The study also included a validation cohort to confirm that the response was consistent.</p>Discussion<p>The results of this study highlight the innate immune system immunosuppression state as a critical parameter for sepsis diagnosis. Notably, the present study identified a reduction in monocyte populations and specific cytokine profiles as potential predictive markers. This study showed that the LPS challenge can be used to effectively distinguish between patients with bloodstream infection leading to sepsis and those whose blood cultures are negative, providinga rapid and reliable diagnostic tool to predict positive blood cultures. The potential applicability of these findings could enhance clinical practice in terms of the accuracy and promptness of sepsis diagnosis in the ED, improving patient outcomes through timely and appropriate treatment.</p>2024-11-04T04:02:08ZDatasetinfo:eu-repo/semantics/publishedVersiondataset10.3389/fimmu.2024.1447523.s001https://figshare.com/articles/dataset/DataSheet1_Assessing_sepsis-induced_immunosuppression_to_predict_positive_blood_cultures_pdf/27600822CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/276008222024-11-04T04:02:08Z
spellingShingle DataSheet1_Assessing sepsis-induced immunosuppression to predict positive blood cultures.pdf
Enrique Hernández-Jiménez (559505)
Immunology
Applied Immunology (incl. Antibody Engineering, Xenotransplantation and T-cell Therapies)
Autoimmunity
Cellular Immunology
Humoural Immunology and Immunochemistry
Immunogenetics (incl. Genetic Immunology)
Innate Immunity
Transplantation Immunology
Tumour Immunology
Immunology not elsewhere classified
Genetic Immunology
Animal Immunology
Veterinary Immunology
bacteremia
sepsis
endotoxin tolerance
immunosuppression
blood culture
TNFα
LPS
biomarkers
status_str publishedVersion
title DataSheet1_Assessing sepsis-induced immunosuppression to predict positive blood cultures.pdf
title_full DataSheet1_Assessing sepsis-induced immunosuppression to predict positive blood cultures.pdf
title_fullStr DataSheet1_Assessing sepsis-induced immunosuppression to predict positive blood cultures.pdf
title_full_unstemmed DataSheet1_Assessing sepsis-induced immunosuppression to predict positive blood cultures.pdf
title_short DataSheet1_Assessing sepsis-induced immunosuppression to predict positive blood cultures.pdf
title_sort DataSheet1_Assessing sepsis-induced immunosuppression to predict positive blood cultures.pdf
topic Immunology
Applied Immunology (incl. Antibody Engineering, Xenotransplantation and T-cell Therapies)
Autoimmunity
Cellular Immunology
Humoural Immunology and Immunochemistry
Immunogenetics (incl. Genetic Immunology)
Innate Immunity
Transplantation Immunology
Tumour Immunology
Immunology not elsewhere classified
Genetic Immunology
Animal Immunology
Veterinary Immunology
bacteremia
sepsis
endotoxin tolerance
immunosuppression
blood culture
TNFα
LPS
biomarkers