Cargando…
Lnc‐MEG3 acts as a potential biomarker for predicting increased disease risk, systemic inflammation, disease severity, and poor prognosis of sepsis via interacting with miR‐21
BACKGROUND: This study aimed to investigate the correlations of long non‐coding RNA maternally expressed gene 3 (lnc‐MEG3), microRNA (miR)‐21, and lnc‐MEG3/miR‐21 axis with disease risk, inflammation, disease severity, and 28‐day mortality of sepsis. METHODS: Totally, 219 sepsis patients and 219 hea...
Autores principales: | , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7171338/ https://www.ncbi.nlm.nih.gov/pubmed/31907972 http://dx.doi.org/10.1002/jcla.23123 |
_version_ | 1783524048943185920 |
---|---|
author | Na, Lei Ding, Huajie Xing, Enhong Gao, Jun Liu, Bin Wang, Huarong Yu, Jian Yu, Changyu |
author_facet | Na, Lei Ding, Huajie Xing, Enhong Gao, Jun Liu, Bin Wang, Huarong Yu, Jian Yu, Changyu |
author_sort | Na, Lei |
collection | PubMed |
description | BACKGROUND: This study aimed to investigate the correlations of long non‐coding RNA maternally expressed gene 3 (lnc‐MEG3), microRNA (miR)‐21, and lnc‐MEG3/miR‐21 axis with disease risk, inflammation, disease severity, and 28‐day mortality of sepsis. METHODS: Totally, 219 sepsis patients and 219 health controls (HCs) were enrolled. Plasma samples were obtained from sepsis patients within 24 hours after admission and from HCs on enrollment to detect lnc‐MEG3 and miR‐21 expressions by real‐time quantitative polymerase chain reaction. RESULTS: The lnc‐MEG3 expression and lnc‐MEG3/miR‐21 axis were increased, while miR‐21 expression was decreased in sepsis patients compared with HCs. Lnc‐MEG3 (area under the curve (AUC): 0.887, 95% confidence interval (CI): 0.856‐0.917) and lnc‐MEG3/miR‐21 axis (AUC: 0.934, 95% CI: 0.909‐0.958) had good values for predicting elevated sepsis risk, while miR‐21 (AUC: 0.801, 95% CI: 0.758‐0.844) presented a good predictive value for reduced sepsis risk. Furthermore, lnc‐MEG3 expression and lnc‐MEG3/miR‐21 axis positively correlated with, whereas miR‐21 expression negatively correlated with acute pathologic and chronic health evaluation II, sequential organ failure assessment score, serum creatinine, C‐reactive protein, tumor necrosis factor‐α, interleukin (IL)‐1β, IL‐6, and IL‐17 in sepsis patients. Additionally, lnc‐MEG3 (AUC: 0.704, 95% CI: 0.626‐0.783) and lnc‐MEG3/miR‐21 axis (AUC: 0.669, 95% CI: 0.589‐0.750) exhibited acceptable values in predicting higher 28‐day mortality risk, while miR‐21 (AUC: 0.588, 95% CI: 0.505‐0.672) presented a poor predictive value for lower 28‐day mortality risk in sepsis patients. CONCLUSION: Lnc‐MEG3 might serve as a potential biomarker for the development, progression, and prognosis prediction of sepsis via interacting with miR‐21. |
format | Online Article Text |
id | pubmed-7171338 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-71713382020-04-21 Lnc‐MEG3 acts as a potential biomarker for predicting increased disease risk, systemic inflammation, disease severity, and poor prognosis of sepsis via interacting with miR‐21 Na, Lei Ding, Huajie Xing, Enhong Gao, Jun Liu, Bin Wang, Huarong Yu, Jian Yu, Changyu J Clin Lab Anal Research Articles BACKGROUND: This study aimed to investigate the correlations of long non‐coding RNA maternally expressed gene 3 (lnc‐MEG3), microRNA (miR)‐21, and lnc‐MEG3/miR‐21 axis with disease risk, inflammation, disease severity, and 28‐day mortality of sepsis. METHODS: Totally, 219 sepsis patients and 219 health controls (HCs) were enrolled. Plasma samples were obtained from sepsis patients within 24 hours after admission and from HCs on enrollment to detect lnc‐MEG3 and miR‐21 expressions by real‐time quantitative polymerase chain reaction. RESULTS: The lnc‐MEG3 expression and lnc‐MEG3/miR‐21 axis were increased, while miR‐21 expression was decreased in sepsis patients compared with HCs. Lnc‐MEG3 (area under the curve (AUC): 0.887, 95% confidence interval (CI): 0.856‐0.917) and lnc‐MEG3/miR‐21 axis (AUC: 0.934, 95% CI: 0.909‐0.958) had good values for predicting elevated sepsis risk, while miR‐21 (AUC: 0.801, 95% CI: 0.758‐0.844) presented a good predictive value for reduced sepsis risk. Furthermore, lnc‐MEG3 expression and lnc‐MEG3/miR‐21 axis positively correlated with, whereas miR‐21 expression negatively correlated with acute pathologic and chronic health evaluation II, sequential organ failure assessment score, serum creatinine, C‐reactive protein, tumor necrosis factor‐α, interleukin (IL)‐1β, IL‐6, and IL‐17 in sepsis patients. Additionally, lnc‐MEG3 (AUC: 0.704, 95% CI: 0.626‐0.783) and lnc‐MEG3/miR‐21 axis (AUC: 0.669, 95% CI: 0.589‐0.750) exhibited acceptable values in predicting higher 28‐day mortality risk, while miR‐21 (AUC: 0.588, 95% CI: 0.505‐0.672) presented a poor predictive value for lower 28‐day mortality risk in sepsis patients. CONCLUSION: Lnc‐MEG3 might serve as a potential biomarker for the development, progression, and prognosis prediction of sepsis via interacting with miR‐21. John Wiley and Sons Inc. 2020-01-06 /pmc/articles/PMC7171338/ /pubmed/31907972 http://dx.doi.org/10.1002/jcla.23123 Text en © 2020 The Authors. Journal of Clinical Laboratory Analysis published by Wiley Periodicals, Inc. This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made. |
spellingShingle | Research Articles Na, Lei Ding, Huajie Xing, Enhong Gao, Jun Liu, Bin Wang, Huarong Yu, Jian Yu, Changyu Lnc‐MEG3 acts as a potential biomarker for predicting increased disease risk, systemic inflammation, disease severity, and poor prognosis of sepsis via interacting with miR‐21 |
title | Lnc‐MEG3 acts as a potential biomarker for predicting increased disease risk, systemic inflammation, disease severity, and poor prognosis of sepsis via interacting with miR‐21 |
title_full | Lnc‐MEG3 acts as a potential biomarker for predicting increased disease risk, systemic inflammation, disease severity, and poor prognosis of sepsis via interacting with miR‐21 |
title_fullStr | Lnc‐MEG3 acts as a potential biomarker for predicting increased disease risk, systemic inflammation, disease severity, and poor prognosis of sepsis via interacting with miR‐21 |
title_full_unstemmed | Lnc‐MEG3 acts as a potential biomarker for predicting increased disease risk, systemic inflammation, disease severity, and poor prognosis of sepsis via interacting with miR‐21 |
title_short | Lnc‐MEG3 acts as a potential biomarker for predicting increased disease risk, systemic inflammation, disease severity, and poor prognosis of sepsis via interacting with miR‐21 |
title_sort | lnc‐meg3 acts as a potential biomarker for predicting increased disease risk, systemic inflammation, disease severity, and poor prognosis of sepsis via interacting with mir‐21 |
topic | Research Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7171338/ https://www.ncbi.nlm.nih.gov/pubmed/31907972 http://dx.doi.org/10.1002/jcla.23123 |
work_keys_str_mv | AT nalei lncmeg3actsasapotentialbiomarkerforpredictingincreaseddiseaserisksystemicinflammationdiseaseseverityandpoorprognosisofsepsisviainteractingwithmir21 AT dinghuajie lncmeg3actsasapotentialbiomarkerforpredictingincreaseddiseaserisksystemicinflammationdiseaseseverityandpoorprognosisofsepsisviainteractingwithmir21 AT xingenhong lncmeg3actsasapotentialbiomarkerforpredictingincreaseddiseaserisksystemicinflammationdiseaseseverityandpoorprognosisofsepsisviainteractingwithmir21 AT gaojun lncmeg3actsasapotentialbiomarkerforpredictingincreaseddiseaserisksystemicinflammationdiseaseseverityandpoorprognosisofsepsisviainteractingwithmir21 AT liubin lncmeg3actsasapotentialbiomarkerforpredictingincreaseddiseaserisksystemicinflammationdiseaseseverityandpoorprognosisofsepsisviainteractingwithmir21 AT wanghuarong lncmeg3actsasapotentialbiomarkerforpredictingincreaseddiseaserisksystemicinflammationdiseaseseverityandpoorprognosisofsepsisviainteractingwithmir21 AT yujian lncmeg3actsasapotentialbiomarkerforpredictingincreaseddiseaserisksystemicinflammationdiseaseseverityandpoorprognosisofsepsisviainteractingwithmir21 AT yuchangyu lncmeg3actsasapotentialbiomarkerforpredictingincreaseddiseaserisksystemicinflammationdiseaseseverityandpoorprognosisofsepsisviainteractingwithmir21 |