Identified lncRNAs functional modules and genes in prediabetes with hypertriglyceridemia by weighted gene co-expression network analysis.
Hypertriglyceridemia
KEGG
PPI
Prediabetes
WGCNA
lncRNAs
Journal
Nutrition & metabolism
ISSN: 1743-7075
Titre abrégé: Nutr Metab (Lond)
Pays: England
ID NLM: 101231644
Informations de publication
Date de publication:
02 May 2022
02 May 2022
Historique:
received:
11
11
2021
accepted:
08
03
2022
entrez:
3
5
2022
pubmed:
4
5
2022
medline:
4
5
2022
Statut:
epublish
Résumé
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. 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. 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. 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.
Sections du résumé
BACKGROUND
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
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
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
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.
Identifiants
pubmed: 35501901
doi: 10.1186/s12986-022-00665-5
pii: 10.1186/s12986-022-00665-5
pmc: PMC9063339
doi:
Types de publication
Journal Article
Langues
eng
Pagination
33Subventions
Organisme : National Natural Science Foundation of China
ID : 81973129
Informations de copyright
© 2022. The Author(s).
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