Identified LncRNAs Functional Modules and Genes in Prediabetes with Hypertriglyceridemia by Weighted Gene Co-expression Network Analysis

Overview

Journal Nutr Metab (Lond)

Publisher Biomed Central

Date 2022 May 3

PMID 35501901

Authors

Mengzi Sun

Shoumeng Yan

Di Zhao

Ling Wang

Tianyu Feng

Yixue Yang

Xiaotong Li

Wenyu Hu

Nan Yao

Weiwei Cui

Bo Li

Affiliations

Soon will be listed here.

Abstract

Background: Hypertriglyceridemia (HTG) is one of the most important comorbidities in abnormal glucose patients. The aim of this study was to identify lncRNAs functional modules and hub genes related to triglyceride (TG) in prediabetes.

Methods: The study included 12 prediabetic patients: 6 participants with HTG and 6 participants with normal triglyceride (NTG). Whole peripheral blood RNA sequencing was performed for these samples to establish a lncRNA library. WGCNA, KEGG pathways analysis and the PPI network were used to construct co-expression network, to obtain modules related to blood glucose, and to detect key lncRNAs. Meanwhile, GEO database and qRT-PCR were used to validate above key lncRNAs.

Results: We found out that the TCONS_00334653 and PVT1, whose target mRNA are MYC and HIST1H2BM, were downregulating in the prediabetes with HTG. Moreover, both of TCONS_00334653 and PVT1 were validated in the GEO database and qRT-PCR.

Conclusions: Therefore, the TCONS_00334653 and PVT1 were detected the key lncRNAs for the prediabetes with HTG, which might be a potential therapeutic or diagnostic target for the treatment of prediabetes with HTG according to the results of validation in the GEO database, qRT-PCR and ROC curves.

Citing Articles

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