Whole transcriptome expression profiles in placenta samples from women with gestational diabetes mellitus. Issue 5 (13th May 2020)

• Record Type: Journal Article
• Authors: Tang, Lei; Li, Ping; Li, Ling
• Is Part Of: Journal of diabetes investigation. Volume 11:Issue 5(2020)
• Page Start: 1307
• Page End: 1317
• Publication Date: 2020-05-13
• Subjects: Gestational diabetes mellitus -- Placenta -- Whole transcriptome; Diabetes -- Periodicals; Diabetes -- Research -- Periodicals; Diabetes Mellitus -- Periodicals; 616.462005
• DOI: 10.1111/jdi.13250
• Languages: English
• ISSNs: 2040-1116

Abstract

Abstract: Aims/Introduction: Non‐coding ribonucleic acids (ncRNAs) have recently been shown to be involved in various biological processes. However, most of these ncRNAs are of unknown function or without annotation. This study first investigated the whole transcriptome profiles of placentas to identify the potential functions that ncRNAs exerted in gestational diabetes mellitus (GDM). Materials and Methods: Six placenta samples from healthy pregnant women ( n = 3) and GDM ( n = 3) were collected to analyze the whole transcriptome profiles by high‐throughput sequencing. Differentially expressed ncRNAs were further validated by quantitative real‐time polymerase chain reaction on an independent set of normal ( n = 20) and GDM ( n = 20) placenta samples. Results: A total of 2, 817 microRNAs (miRNAs), 23, 339 long non‐coding RNAs (lncRNAs) and 9, 513 circular RNAs (circRNAs) were identified. There were 290 differentially expressed ncRNAs in GDM placentas compared with the placentas of healthy pregnant women. Two miRNAs, 86 lncRNAs and 55 circRNAs were upregulated, while two miRNAs, 86 lncRNAs and 59 circRNAs were downregulated in GDM. The expression of the selected ncRNAs, which were further validated by quantitative real‐time polymerase chain reaction, was consistent with the sequencing results. Gene Ontology and Kyoto Encyclopedia of Genes and Genomes pathway analysis showed that the major targets of these ncRNAs were associated with insulin resistance, and abnormal glucose and lipid metabolism. A GDM‐related competing endogenous RNA network suggested the interactions between lncRNAs, circRNAs, messenger RNAs and miRNAs. Conclusions: The whole transcriptome profiles significantly differed in GDM placentas compared with the placentas of healthy pregnant women, which might be valuable for detecting novel ncRNAs, and providing new research insights into exploring the pathogenic mechanisms of GDM. Abstract : A total of 2, 817 micro‐ribonucleic acids (miRNAs), 23, 339 long non‐coding RNAs (lncRNAs) and 9, 513 circular RNAs (circRNAs) were identified. There were 290 differentially expressed ncRNAs in gestational diabetes mellitus placentas compared with placentas of healthy pregnant women. Two miRNAs, 86 lncRNAs and 55 circRNAs were upregulated, while two miRNAs, 86 lncRNAs and 59 circRNAs were downregulated in gestational diabetes mellitus. The expression of the selected ncRNAs was consistent with the sequencing results. Gene Ontology and Kyoto Encyclopedia of Genes and Genomes pathway analysis showed that the major targets of these ncRNAs were associated with insulin resistance and abnormal glucose and lipid metabolism. A gestational diabetes mellitus‐related competing endogenous RNA network suggested the interactions between lncRNAs, circRNAs, messenger RNAs and miRNAs.