Dysregulation of long non-coding RNA gene expression pathways in monocytes of type 2 diabetes patients with cardiovascular disease Journal Article


Authors: Halabi, N.; Thomas, B.; Chidiac, O.; Robay, A.; AbiNahed, J.; Jayyousi, A.; Al Suwaidi, J.; Bradic, M.; Abi Khalil, C.
Article Title: Dysregulation of long non-coding RNA gene expression pathways in monocytes of type 2 diabetes patients with cardiovascular disease
Abstract: Background: Monocytes play a central role in the pathophysiology of cardiovascular complications in type 2 diabetes (T2D) patients through different mechanisms. We investigated diabetes-induced changes in lncRNA genes from T2D patients with cardiovascular disease (CVD), long-duration diabetes, and poor glycemic control. Methods: We performed paired-end RNA sequencing of monocytes from 37 non-diabetes controls and 120 patients with T2D, of whom 86 had either macro or microvascular disease or both. Monocytes were sorted from peripheral blood using flow cytometry; their RNA was purified and sequenced. Alignments and gene counts were obtained with STAR to reference GRCh38 using Gencode (v41) annotations followed by batch correction with CombatSeq. Differential expression analysis was performed with EdgeR and pathway analysis with IPA software focusing on differentially expressed genes (DEGs) with a p-value < 0.05. Additionally, differential co-expression analysis was done with csdR to identify lncRNAs highly associated with diabetes-related expression networks with network centrality scores computed with Igraph and network visualization with Cytoscape. Results: Comparing T2D vs. non-T2D, we found two significantly upregulated lncRNAs (ENSG00000287255, FDR = 0.017 and ENSG00000289424, FDR = 0.048) and one significantly downregulated lncRNA (ENSG00000276603, FDR = 0.017). Pathway analysis on DEGs revealed networks affecting cellular movement, growth, and development. Co-expression analysis revealed ENSG00000225822 (UBXN7-AS1) as the highest-scoring diabetes network-associated lncRNA. Analysis within T2D patients and CVD revealed one lncRNA upregulated in monocytes from patients with microvascular disease without clinically documented macrovascular disease. (ENSG00000261654, FDR = 0.046). Pathway analysis revealed DEGs involved in networks affecting metabolic and cardiovascular pathologies. Co-expression analysis identified lncRNAs strongly associated with diabetes networks, including ENSG0000028654, ENSG00000261326 (LINC01355), ENSG00000260135 (MMP2-AS1), ENSG00000262097, and ENSG00000241560 (ZBTB20-AS1) when we combined the results from all patients with CVD. Similarly, we identified from co-expression analysis of diabetes patients with a duration ≥ 10 years vs. <10 years two lncRNAs: ENSG00000269019 (HOMER3-AS10) and ENSG00000212719 (LINC02693). The comparison of patients with good vs. poor glycemic control also identified two lncRNAs: ENSG00000245164 (LINC00861) and ENSG00000286313. Conclusion: We identified dysregulated diabetes-related genes and pathways in monocytes of diabetes patients with cardiovascular complications, including lncRNA genes of unknown function strongly associated with networks of known diabetes genes. © The Author(s) 2024.
Keywords: signal transduction; adult; controlled study; aged; middle aged; major clinical study; sequence analysis; case control study; genetics; case-control studies; hypertension; flow cytometry; mouse; phenotype; metabolism; gene expression; gene expression profiling; protein protein interaction; prevalence; creatinine; gene expression regulation; blood; acetylsalicylic acid; cardiovascular disease; heart failure; heart infarction; peripheral vascular disease; cardiovascular diseases; atherosclerosis; diagnosis; diabetes mellitus; glucose blood level; glomerulus filtration rate; high density lipoprotein cholesterol; dyslipidemia; blood glucose; gene regulatory network; monocyte; monocytes; untranslated rna; metformin; non insulin dependent diabetes mellitus; transcriptome; diabetes mellitus, type 2; rna extraction; vascular disease; ophthalmoscopy; type 2 diabetes; gene regulatory networks; complication; gene ontology; rna-seq; glycemic control; hemoglobin a1c; microangiopathy; vibration sense; humans; human; male; female; article; rna sequencing; long untranslated rna; differential gene expression; mrna expression assay; rna, long noncoding; long non-coding rnas; macrovascular disease; microvascular disease
Journal Title: Cardiovascular Diabetology
Volume: 23
ISSN: 1475-2840
Publisher: Biomed Central Ltd  
Date Published: 2024-06-07
Start Page: 196
Language: English
DOI: 10.1186/s12933-024-02292-1
PUBMED: 38849833
PROVIDER: scopus
PMCID: PMC11161966
DOI/URL:
Notes: Article -- Source: Scopus
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  1. Martina Bradic
    17 Bradic