Long non‑coding RNA MALAT1 serves as an independent predictive biomarker for the diagnosis, severity and prognosis of patients with sepsis.


Journal

Molecular medicine reports
ISSN: 1791-3004
Titre abrégé: Mol Med Rep
Pays: Greece
ID NLM: 101475259

Informations de publication

Date de publication:
03 2020
Historique:
received: 17 03 2019
accepted: 03 10 2019
pubmed: 11 1 2020
medline: 7 10 2020
entrez: 11 1 2020
Statut: ppublish

Résumé

The present prospective study was conducted to investigate the independent risk and predictive value of plasma long non‑coding RNA metastasis‑associated lung adenocarcinoma transcript 1 (MALAT1) as a biomarker for the diagnosis, severity and prognosis of sepsis. A total of 120 patients with sepsis and 60 healthy controls (HCs) were recruited. The expression levels of plasma MALAT1 were detected by quantitative PCR. The results demonstrated that the plasma levels of MALAT1 were significantly increased in patients with sepsis compared with HCs (P<0.001), in patients with septic shock compared with in patients without septic shock (P<0.001), and in non‑survivors compared with in survivors (P<0.001). MALAT1 plasma levels exhibited weak positive correlation with serum procalcitonin levels (r=0.253; P=0.005), arterial lactate levels (r=0.488; P<0.001), sepsis‑related organ failure assessment scores (r=0.566; P<0.001), and acute physiology and chronic health evaluation II scores (r=0.517; P<0.001) in patients with sepsis. Multivariate logistic regression analysis revealed that high MALAT1 expression was an independent risk factor for sepsis (P<0.001), septic shock (P=0.030) and poor prognosis (P=0.015). In addition, the receiver operating characteristic curve exhibited a significant predictive value for MALAT1 in distinguishing patients with sepsis from HCs with an area under the curve (AUC) of 0.910, patients with septic shock from patients without shock with an AUC of 0.836, and non‑survivors from survivors with an AUC of 0.886. In conclusion, plasma MALAT1 may serve as a biomarker for the diagnosis, severity and prognosis of sepsis.

Identifiants

pubmed: 31922243
doi: 10.3892/mmr.2020.10923
doi:

Substances chimiques

Biomarkers 0
MALAT1 long non-coding RNA, human 0
Procalcitonin 0
RNA, Long Noncoding 0

Types de publication

Clinical Trial Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

1365-1373

Auteurs

Jianjun Chen (J)

Department of Intensive Care Medicine, The First People's Hospital of Yancheng, Yancheng, Jiangsu 224000, P.R. China.

Yingfeng He (Y)

Department of Intensive Care Medicine, The First People's Hospital of Yancheng, Yancheng, Jiangsu 224000, P.R. China.

Liangliang Zhou (L)

Department of Intensive Care Medicine, The First People's Hospital of Yancheng, Yancheng, Jiangsu 224000, P.R. China.

Yijun Deng (Y)

Department of Intensive Care Medicine, The First People's Hospital of Yancheng, Yancheng, Jiangsu 224000, P.R. China.

Linjie Si (L)

Department of Cardiovascular Surgery, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu 210029, P.R. China.

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Classifications MeSH