Early measurement of interleukin-10 predicts the absence of CT scan lesions in mild traumatic brain injury

Traumatic brain injury is a common event where 70%–90% will be classified as mild TBI (mTBI). Among these, only 10% will have a brain lesion visible via CT scan. A triage biomarker would help clinicians to identify patients with mTBI who are at risk of developing a brain lesion and require a CT scan...

Descripción completa

Detalles Bibliográficos
Autores: Lagerstedt, Linnéa, Egea-Guerrero, Juan José, Rodríguez-Rodríguez, Ana, Bustamante, Alejandro, Montaner, Joan, El Rahal, Amir, Andereggen, Elisabeth, Rinaldi, Lara, Sarrafzadeh, Asita, Schaller, Karl, Sanchez, Jean-Charles
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2018
País:España
Institución:Consejo Superior de Investigaciones Científicas (CSIC)
Repositorio:DIGITAL.CSIC. Repositorio Institucional del CSIC
OAI Identifier:oai:digital.csic.es:10261/180760
Acceso en línea:http://hdl.handle.net/10261/180760
Access Level:acceso abierto
Palabra clave:ddc:616
id ES_3d702c81f341ea1fee82e57fa5ec61fe
oai_identifier_str oai:digital.csic.es:10261/180760
network_acronym_str ES
network_name_str España
repository_id_str
spelling Early measurement of interleukin-10 predicts the absence of CT scan lesions in mild traumatic brain injuryLagerstedt, LinnéaEgea-Guerrero, Juan JoséRodríguez-Rodríguez, AnaBustamante, AlejandroMontaner, JoanEl Rahal, AmirAndereggen, ElisabethRinaldi, LaraSarrafzadeh, AsitaSchaller, KarlSanchez, Jean-Charlesddc:616Traumatic brain injury is a common event where 70%–90% will be classified as mild TBI (mTBI). Among these, only 10% will have a brain lesion visible via CT scan. A triage biomarker would help clinicians to identify patients with mTBI who are at risk of developing a brain lesion and require a CT scan. The brain cells damaged by the shearing, tearing and stretching of a TBI event set off inflammation cascades. These cause altered concentrations of a high number of both pro-inflammatory and anti-inflammatory proteins. This study aimed to discover a novel diagnostic biomarker of mTBI by investigating a broad panel of inflammation biomarkers and their capacity to correctly identify CT-positive and CT-negative patients. Patients enrolled in this study had been diagnosed with mTBI, had a GCS score of 15 and suffered from at least one clinical symptom. There were nine patients in the discovery group, 45 for verification, and 133 mTBI patients from two different European sites in the validation cohort. All patients gave blood samples, underwent a CT scan and were dichotomised into CT-positive and CT-negative groups for statistical analyses. The ability of each protein to classify patients was evaluated with sensitivity set at 100%. Three of the 92 inflammation proteins screened—MCP-1, MIP-1alpha and IL-10 –were further investigated in the verification group, and at 100% sensitivity their specificities reached 7%, 0% and 31%, respectively. IL-10 was validated on a larger cohort in comparison to the most studied mTBI diagnostic triage protein to date, S100B. Levels of both proteins were significantly higher in CT-positive than in CT-negative patients (p < 0.001). S100B’s specificity at 100% sensitivity was 18% (95% CI 10.8–25.2), whereas IL-10 reached a specificity of 27% (95% CI 18.9–35.1). These results showed that IL-10 might be an interesting and clinically useful diagnostic tool, capable of differentiating between CT-positive and CT-negative mTBI patients.Peer reviewedPublic Library of ScienceConsejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]201920192018info:eu-repo/semantics/articlehttp://purl.org/coar/resource_type/c_6501Publisher's versioninfo:eu-repo/semantics/publishedVersionhttp://hdl.handle.net/10261/180760reponame:DIGITAL.CSIC. Repositorio Institucional del CSICinstname:Consejo Superior de Investigaciones Científicas (CSIC)Ingléshttps://doi.org/10.1371/journal.pone.0193278Síinfo:eu-repo/semantics/openAccessoai:digital.csic.es:10261/1807602026-05-22T06:33:51Z
dc.title.none.fl_str_mv Early measurement of interleukin-10 predicts the absence of CT scan lesions in mild traumatic brain injury
title Early measurement of interleukin-10 predicts the absence of CT scan lesions in mild traumatic brain injury
spellingShingle Early measurement of interleukin-10 predicts the absence of CT scan lesions in mild traumatic brain injury
Lagerstedt, Linnéa
ddc:616
title_short Early measurement of interleukin-10 predicts the absence of CT scan lesions in mild traumatic brain injury
title_full Early measurement of interleukin-10 predicts the absence of CT scan lesions in mild traumatic brain injury
title_fullStr Early measurement of interleukin-10 predicts the absence of CT scan lesions in mild traumatic brain injury
title_full_unstemmed Early measurement of interleukin-10 predicts the absence of CT scan lesions in mild traumatic brain injury
title_sort Early measurement of interleukin-10 predicts the absence of CT scan lesions in mild traumatic brain injury
dc.creator.none.fl_str_mv Lagerstedt, Linnéa
Egea-Guerrero, Juan José
Rodríguez-Rodríguez, Ana
Bustamante, Alejandro
Montaner, Joan
El Rahal, Amir
Andereggen, Elisabeth
Rinaldi, Lara
Sarrafzadeh, Asita
Schaller, Karl
Sanchez, Jean-Charles
author Lagerstedt, Linnéa
author_facet Lagerstedt, Linnéa
Egea-Guerrero, Juan José
Rodríguez-Rodríguez, Ana
Bustamante, Alejandro
Montaner, Joan
El Rahal, Amir
Andereggen, Elisabeth
Rinaldi, Lara
Sarrafzadeh, Asita
Schaller, Karl
Sanchez, Jean-Charles
author_role author
author2 Egea-Guerrero, Juan José
Rodríguez-Rodríguez, Ana
Bustamante, Alejandro
Montaner, Joan
El Rahal, Amir
Andereggen, Elisabeth
Rinaldi, Lara
Sarrafzadeh, Asita
Schaller, Karl
Sanchez, Jean-Charles
author2_role author
author
author
author
author
author
author
author
author
author
dc.contributor.none.fl_str_mv Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]
dc.subject.none.fl_str_mv ddc:616
topic ddc:616
description Traumatic brain injury is a common event where 70%–90% will be classified as mild TBI (mTBI). Among these, only 10% will have a brain lesion visible via CT scan. A triage biomarker would help clinicians to identify patients with mTBI who are at risk of developing a brain lesion and require a CT scan. The brain cells damaged by the shearing, tearing and stretching of a TBI event set off inflammation cascades. These cause altered concentrations of a high number of both pro-inflammatory and anti-inflammatory proteins. This study aimed to discover a novel diagnostic biomarker of mTBI by investigating a broad panel of inflammation biomarkers and their capacity to correctly identify CT-positive and CT-negative patients. Patients enrolled in this study had been diagnosed with mTBI, had a GCS score of 15 and suffered from at least one clinical symptom. There were nine patients in the discovery group, 45 for verification, and 133 mTBI patients from two different European sites in the validation cohort. All patients gave blood samples, underwent a CT scan and were dichotomised into CT-positive and CT-negative groups for statistical analyses. The ability of each protein to classify patients was evaluated with sensitivity set at 100%. Three of the 92 inflammation proteins screened—MCP-1, MIP-1alpha and IL-10 –were further investigated in the verification group, and at 100% sensitivity their specificities reached 7%, 0% and 31%, respectively. IL-10 was validated on a larger cohort in comparison to the most studied mTBI diagnostic triage protein to date, S100B. Levels of both proteins were significantly higher in CT-positive than in CT-negative patients (p < 0.001). S100B’s specificity at 100% sensitivity was 18% (95% CI 10.8–25.2), whereas IL-10 reached a specificity of 27% (95% CI 18.9–35.1). These results showed that IL-10 might be an interesting and clinically useful diagnostic tool, capable of differentiating between CT-positive and CT-negative mTBI patients.
publishDate 2018
dc.date.none.fl_str_mv 2018
2019
2019
dc.type.none.fl_str_mv info:eu-repo/semantics/article
http://purl.org/coar/resource_type/c_6501
Publisher's version
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/10261/180760
url http://hdl.handle.net/10261/180760
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv https://doi.org/10.1371/journal.pone.0193278
Sí
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv Public Library of Science
publisher.none.fl_str_mv Public Library of Science
dc.source.none.fl_str_mv reponame:DIGITAL.CSIC. Repositorio Institucional del CSIC
instname:Consejo Superior de Investigaciones Científicas (CSIC)
instname_str Consejo Superior de Investigaciones Científicas (CSIC)
reponame_str DIGITAL.CSIC. Repositorio Institucional del CSIC
collection DIGITAL.CSIC. Repositorio Institucional del CSIC
repository.name.fl_str_mv
repository.mail.fl_str_mv
_version_ 1869406440070840320
score 15,811543

Similares en LA Referencia