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Plasma Lnc-UCA1/miR-138 axis as a potential biomarker for gestational diabetes mellitus and neonatal prognosis
Affiliations- Department of Obstetrics, Maternal and Child Health Hospital of Hubei Province, Affiliated Hospital of Tongji Medical College, Huazhong University of Science and Technology. Wuhan, China
open access
Abstract
Objectives: This study aimed to explore the correlations of Lnc-UCA1/miR-138 axis with gestational diabetes mellitus (GDM) risk and neonatal prognosis. Material and methods: First, the blood samples from sixty GDM patients and 60 healthy pregnant women were collected to detect the change of Lnc-UCA1/miR-138 axis by using real-time polymerase chain reaction (RT-qPCR). The clinical characteristics of GDM patients, healthy controls, and neonates were recorded. Then, the correlation analysis of Lnc-UCA1, miR-138, and Lnc-UCA1/miR-138 axis levels with clinicopathological characteristics was performed to explore the clinical value of Lnc-UCA1/miR-138 axis in GDM. Finally, the specificity and sensitivity of Lnc-UCA1, miR-138, and Lnc-UCA1/miR-138 axis for GDM diagnosis was evaluated using receiver operating characteristic (ROC) curves. Results: Our present study found that, when compared with healthy pregnancies, the expression levels of Lnc-UCA1 and miR-138 were increased and decreased, respectively, and Lnc-UCA1/miR-138 axis profile was elevated. Second, Lnc-UCA1 and Lnc-UCA1/miR-138 axis were positively correlated with fasting glucose, one-hour glucose, and two-hour glucose, while miR-138 showed the opposite trend. Furthermore, the area under the ROC curve (AUC) were 0.8196, 0.8021, and 0.8901 for diagnostic efficiencies of Lnc-UCA1, miR-138, and Lnc-UCA1/miR-138, respectively. In addition, higher profiles of Lnc-UCA1 were correlated with birth asphyxia of neonate. Conclusions: Circulating Lnc-UCA1/miR-138 axis might be involved in the pathogenesis of GDM and could function as a novel and effective biomarker for GDM risk and neonatal prognosis.
Abstract
Objectives: This study aimed to explore the correlations of Lnc-UCA1/miR-138 axis with gestational diabetes mellitus (GDM) risk and neonatal prognosis. Material and methods: First, the blood samples from sixty GDM patients and 60 healthy pregnant women were collected to detect the change of Lnc-UCA1/miR-138 axis by using real-time polymerase chain reaction (RT-qPCR). The clinical characteristics of GDM patients, healthy controls, and neonates were recorded. Then, the correlation analysis of Lnc-UCA1, miR-138, and Lnc-UCA1/miR-138 axis levels with clinicopathological characteristics was performed to explore the clinical value of Lnc-UCA1/miR-138 axis in GDM. Finally, the specificity and sensitivity of Lnc-UCA1, miR-138, and Lnc-UCA1/miR-138 axis for GDM diagnosis was evaluated using receiver operating characteristic (ROC) curves. Results: Our present study found that, when compared with healthy pregnancies, the expression levels of Lnc-UCA1 and miR-138 were increased and decreased, respectively, and Lnc-UCA1/miR-138 axis profile was elevated. Second, Lnc-UCA1 and Lnc-UCA1/miR-138 axis were positively correlated with fasting glucose, one-hour glucose, and two-hour glucose, while miR-138 showed the opposite trend. Furthermore, the area under the ROC curve (AUC) were 0.8196, 0.8021, and 0.8901 for diagnostic efficiencies of Lnc-UCA1, miR-138, and Lnc-UCA1/miR-138, respectively. In addition, higher profiles of Lnc-UCA1 were correlated with birth asphyxia of neonate. Conclusions: Circulating Lnc-UCA1/miR-138 axis might be involved in the pathogenesis of GDM and could function as a novel and effective biomarker for GDM risk and neonatal prognosis.
Keywords
LncRNA; miRNA; gestational diabetes mellitus; disease severity
About this articleTitle
Plasma Lnc-UCA1/miR-138 axis as a potential biomarker for gestational diabetes mellitus and neonatal prognosis
Journal
Issue
Article type
Research paper
Pages
845-851
Published online
2022-06-10
Page views
735
Article views/downloads
539
DOI
Pubmed
Bibliographic record
Ginekol Pol 2023;94(10):845-851.
Keywords
LncRNA
miRNA
gestational diabetes mellitus
disease severity
Authors
Bingjie Leng
Feifei Chen
Min Li
Heng Yin
Guoqiang Sun
Yun Zhao
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