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Circulating microRNAs as biomarkers for Sepsis secondary to pneumonia diagnosed via Sepsis 3.0

BACKGROUND: Sepsis biomarkers have limited specificity and sensitivity. Few studies have investigated microRNA (miRNA) biomarkers for sepsis secondary to pneumonia. This study aims to investigate the diagnostic and prognostic values of miRNAs in sepsis secondary to pneumonia. METHODS: Sepsis 3.0 was...

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Autores principales: Zhang, Wenping, Jia, Jianchao, Liu, Zi, Si, Dan, Ma, Lijun, Zhang, Guojun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6518454/
https://www.ncbi.nlm.nih.gov/pubmed/31088429
http://dx.doi.org/10.1186/s12890-019-0836-4
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author Zhang, Wenping
Jia, Jianchao
Liu, Zi
Si, Dan
Ma, Lijun
Zhang, Guojun
author_facet Zhang, Wenping
Jia, Jianchao
Liu, Zi
Si, Dan
Ma, Lijun
Zhang, Guojun
author_sort Zhang, Wenping
collection PubMed
description BACKGROUND: Sepsis biomarkers have limited specificity and sensitivity. Few studies have investigated microRNA (miRNA) biomarkers for sepsis secondary to pneumonia. This study aims to investigate the diagnostic and prognostic values of miRNAs in sepsis secondary to pneumonia. METHODS: Sepsis 3.0 was used to diagnose sepsis. Screening was performed through the Agilent miRNA chip technology by using the following criteria: p < 0.05, fold ≥2 or < 0.5, or copy number > 50 change. This study recruited 52 patients with pneumonia, including 31 males (59.6%) and 21 females (40.4%), 44 patients with sepsis secondary to pneumonia were diagnosed via Sepsis 3.0 (34 [77.3%] males and 10 [22.7%] females), and 21 healthy controls were used for miRNA verification. The miRNA levels were detected through fluorescence real-time quantitative polymerase chain reaction (qRT-PCR). Results: Fluorescence qRT-PCR detection showed that the miR-7110-5p and miR-223-3p expression levels in both patient groups were upregulated compared with those in the healthy controls. The expression levels differed between patients with pneumonia and those with sepsis secondary to pneumonia. The sensitivity and specificity of miR-7110-5p to differentiate sepsis from healthy controls were 84.2 and 90.5%, whereas those of miR-223-3p were 82.9 and 100%, respectively. Multivariate analysis of variance suggested that the presence of sepsis affected the miR-223-3p level (p = 0.041), whereas the presence of sepsis (p = 0.000) and the underlying disease (p = 0.025) influenced the miR-7110-5p level. CONCLUSIONS: MiR-223-3p could be utilized to predict sepsis secondary to pneumonia.
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spelling pubmed-65184542019-05-21 Circulating microRNAs as biomarkers for Sepsis secondary to pneumonia diagnosed via Sepsis 3.0 Zhang, Wenping Jia, Jianchao Liu, Zi Si, Dan Ma, Lijun Zhang, Guojun BMC Pulm Med Research Article BACKGROUND: Sepsis biomarkers have limited specificity and sensitivity. Few studies have investigated microRNA (miRNA) biomarkers for sepsis secondary to pneumonia. This study aims to investigate the diagnostic and prognostic values of miRNAs in sepsis secondary to pneumonia. METHODS: Sepsis 3.0 was used to diagnose sepsis. Screening was performed through the Agilent miRNA chip technology by using the following criteria: p < 0.05, fold ≥2 or < 0.5, or copy number > 50 change. This study recruited 52 patients with pneumonia, including 31 males (59.6%) and 21 females (40.4%), 44 patients with sepsis secondary to pneumonia were diagnosed via Sepsis 3.0 (34 [77.3%] males and 10 [22.7%] females), and 21 healthy controls were used for miRNA verification. The miRNA levels were detected through fluorescence real-time quantitative polymerase chain reaction (qRT-PCR). Results: Fluorescence qRT-PCR detection showed that the miR-7110-5p and miR-223-3p expression levels in both patient groups were upregulated compared with those in the healthy controls. The expression levels differed between patients with pneumonia and those with sepsis secondary to pneumonia. The sensitivity and specificity of miR-7110-5p to differentiate sepsis from healthy controls were 84.2 and 90.5%, whereas those of miR-223-3p were 82.9 and 100%, respectively. Multivariate analysis of variance suggested that the presence of sepsis affected the miR-223-3p level (p = 0.041), whereas the presence of sepsis (p = 0.000) and the underlying disease (p = 0.025) influenced the miR-7110-5p level. CONCLUSIONS: MiR-223-3p could be utilized to predict sepsis secondary to pneumonia. BioMed Central 2019-05-14 /pmc/articles/PMC6518454/ /pubmed/31088429 http://dx.doi.org/10.1186/s12890-019-0836-4 Text en © The Author(s). 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Zhang, Wenping
Jia, Jianchao
Liu, Zi
Si, Dan
Ma, Lijun
Zhang, Guojun
Circulating microRNAs as biomarkers for Sepsis secondary to pneumonia diagnosed via Sepsis 3.0
title Circulating microRNAs as biomarkers for Sepsis secondary to pneumonia diagnosed via Sepsis 3.0
title_full Circulating microRNAs as biomarkers for Sepsis secondary to pneumonia diagnosed via Sepsis 3.0
title_fullStr Circulating microRNAs as biomarkers for Sepsis secondary to pneumonia diagnosed via Sepsis 3.0
title_full_unstemmed Circulating microRNAs as biomarkers for Sepsis secondary to pneumonia diagnosed via Sepsis 3.0
title_short Circulating microRNAs as biomarkers for Sepsis secondary to pneumonia diagnosed via Sepsis 3.0
title_sort circulating micrornas as biomarkers for sepsis secondary to pneumonia diagnosed via sepsis 3.0
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6518454/
https://www.ncbi.nlm.nih.gov/pubmed/31088429
http://dx.doi.org/10.1186/s12890-019-0836-4
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