ArticleMolecular biology reports2018
Downregulation of long non-coding RNAs LINC00523 and LINC00994 in type 2 diabetes in an Iranian cohort.
Article in Molecular biology reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 2 of them syntheses that pooled it.
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Who cites it
17 citing papers in PubMed, 2 syntheses or guidelines pooled it, 30 citations in OpenAlex.
- The Impact of lncRNAs in Diabetes Mellitus: A Systematic Review andFrontiers in endocrinology · 2021Pooled it
- Dysregulated expression of long noncoding RNAs serves as diagnostic biomarkers of type 2 diabetes mellitus.Endocrine · 2019Pooled it
- Harnessing exosomal long non-coding RNAs as a new frontier for molecular diagnostics and therapeutics in diabetes mellitus.Cell communication and signaling : CCS · 2026Review
- Gene expression knowledge graph for patient representation and diabetes prediction.Journal of biomedical semantics · 2025Article
- Genome-wide association analysis of treatment resistant schizophrenia for variant discovery and polygenic assessment.Human genomics · 2024Article
- Long noncoding RNAs as potential diagnostic biomarkers for diabetes mellitus and complications: A systematic review and meta-analysis.Journal of diabetes · 2023Article
- Long non-coding RNAs: a valuable biomarker for metabolic syndrome.Molecular genetics and genomics : MGG · 2022Review
- Up-regulation ofHeliyon · 2021Article
- Long non-coding RNAs in metabolic disorders: pathogenetic relevance and potential biomarkers and therapeutic targets.Journal of endocrinological investigation · 2021Review
- Role of long non-coding RNAs in adipogenesis: State of the art and implications in obesity and obesity-associated diseases.Obesity reviews : an official journal of the International Association for the Study of Obesity · 2021Review
- Long Non-Coding RNAs (lncRNAs) in Cardiovascular Disease Complication of Type 2 Diabetes.Diagnostics (Basel, Switzerland) · 2021Review
- Type2 diabetes mellitus prediction using data mining algorithms based on the long-noncoding RNAs expression: a comparison of four data mining approaches.BMC bioinformatics · 2020Article
- Research Status of Differentially Expressed Noncoding RNAs in Type 2 Diabetes Patients.BioMed research international · 2020Article
- lncRNA HIF1A Antisense RNA 2 Modulates Trophoblast Cell Invasion and Proliferation through Upregulating PHLDA1 Expression.Molecular therapy. Nucleic acids · 2019Article
- LINC00994 promoted invasion and proliferation of gastric cancer cell via regulating miR-765-3p.American journal of translational research · 2019Article
- Long non-coding RNA LY86-AS1 and HCG27_201 expression in type 2 diabetes mellitus.Molecular biology reports · 2018Article
- Comparative transcriptomic analysis of vascular endothelial cells after hypoxia/re-oxygenation induction based on microarray technology.Journal of Zhejiang University. Science. BArticle
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8 authors at 1 institution in 1 country.
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No grant is acknowledged in the PubMed record.
Abstract
Long non-coding RNAs (lncRNAs) are a subclass within the non-coding RNA repertoire that have potential roles in type 2 diabetes mellitus (T2DM). However, the biological function and molecular mechanisms of lncRNAs in T2DM remain largely unknown. The purpose of this study is to investigate the association between LINC00523 and LINC00994 expressions and T2DM susceptibility in an Iranian cohort. In this case-control study, we obtained whole blood and serum samples from 100 T2DM patients and 100 healthy subjects. We extracted peripheral blood mononuclear cells (PBMCs) from whole blood samples using Ficoll-Hypaque density-gradient centrifugation. Total RNA was extracted from the PBMC lysates by using the TRIzol-LS reagent (GeneAll). Finally, a quantitative real-time PCR (qPCR) assay was used to detect LINC00523 and LINC00994 lncRNA expression levels in the 200 samples. LINC00523 and LINC00994 expressions significantly decreased in patients with T2DM compared to the healthy participants, with a fold change for LINC00523 of 0.157 and 0.159 for LINC00994. We observed a significant inverse correlation between the expressions of these lncRNAs with FBS. Receiver operating characteristic (ROC) curve analysis revealed that LINC00523 has a higher area under the ROC curve (AUC) of 0.7430 and a lower P-value (P < 0.0001), in addition to a sensitivity of 81.44% and specificity of 61.11%. Therefore, LINC00523 could be considered a potential diagnostic biomarker for T2DM. Decreased expressions of LncRNAs LINC00523 and LINC00994 in T2DM is possibly associated with pathogenicity of T2DM in Iranian population. Moreover, LINC00523 can perhaps be considered as effective diagnostic biomarkers for T2DM.
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