ArticleEndocrine2020
Screening and functional studies of long noncoding RNA in subjects with prediabetes.
Article in Endocrine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed, 11 citations in OpenAlex.
- Pathogenesis of impaired glucose tolerance in rats based on transcriptome analysis.Scientific reports · 2025Article
- Article
- Multi-omics approaches for biomarker discovery and precision diagnosis of prediabetes.Frontiers in endocrinology · 2025Review
- LINC317.5 as a novel biomarker for hypertriglyceridemia in normal glucose metabolism.Cell death discovery · 2024Article
- Identification of FGF13 as a Potential Biomarker and Target for Diagnosis of Impaired Glucose Tolerance.International journal of molecular sciences · 2023Article
- Worldwide trends in prediabetes from 1985 to 2022: A bibliometric analysis using bibliometrix R-tool.Frontiers in public health · 2023Article
- Identified lncRNAs functional modules and genes in prediabetes with hypertriglyceridemia by weighted gene co-expression network analysis.Nutrition & metabolism · 2022Article
- Identification of Key LncRNAs and Pathways in Prediabetes and Type 2 Diabetes Mellitus for Hypertriglyceridemia Patients Based on Weighted Gene Co-Expression Network Analysis.Frontiers in endocrinology · 2021Article
- Chronic Microvascular Complications in Prediabetic States-An Overview.Journal of clinical medicine · 2020Review
Corrections and comments
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Authors and funding
8 authors at 1 institution in 1 country.
Funding
Abstract
backgroundIn recent years, long noncoding RNAs (LncRNAs) have been found to play an important role in type 2 diabetes mellitus. However, research on the relationship between LncRNAs and prediabetes is still emerging.
objectivesThe study aim was to screen differently expressed LncRNAs and understand their localization and function in patients with prediabetes.
methodsWe used microarray analysis to screen LncRNAs in prediabetes participants.To further clarify the localization and function of the expressed mRNAs, we used gene ontology analysis and pathway analysis. Then, internal validations were performed using individual quantitative real-time polymerase chain reaction (qRT-PCR) assays.
resultsWe identified 55 differently expressed LncRNAs and 36 mRNAs in prediabetes participants comparing with controls. Gene ontology analysis indicated that the most enriched transcript terms were multicellular organismal process, plasma membrane, and binding. Pathway analysis indicated that the differently expressed mRNAs were involved in processes such as starch and sucrose metabolism, pantothenate and coenzyme A biosynthesis, and nicotinate and nicotinamide metabolism. The qRT-PCR results showed a trend consistent with the microarray results in 30 patients and 30 healthy controls.
conclusionsWe found aberrantly expressed LncRNAs and mRNAs in prediabetes subjects, and demonstrated that these LncRNAs are involved in the entire prediabetes biological process.
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