| Literature DB >> 29057258 |
Kalupahana Irushi Pamodya Liyanage1, Gamage Upeksha Ganegoda1.
Abstract
Diseases resulting from alterations in gene expressions through mutations in the genes or through changes in the gene expression regulation could be identified through the analysis of RNA expressions. ncRNAs play a significant role in regulation of the gene expression by controlling the expression levels of the coding RNAs and other cellular processes. Discoveries have shown that the human genome is encoded with sequences responsible for the transcription of thousands of ncRNAs. Even though the studies conducted on ncRNAs are still at initial stages, facts established so far display biomarkers that confirm their relationship with certain diseases such as cancers, cardiovascular diseases, and insulin resistance. These studies have been facilitated with high throughput modern sequencing techniques such as microarrays and RNA sequencing. The data obtained through the above analysis are processed with the aid of existing databases, to deduce conclusions on different diagnostic biomarkers and therapeutic targets for specific diseases. This review focuses on the association of ncRNAs in disease prediction, focusing mainly on cardiovascular diseases and disorders caused by insulin resistance. The report also analyzes regulatory functions of ncRNAs and novel approaches used in disease therapeutics.Entities:
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Year: 2017 PMID: 29057258 PMCID: PMC5625813 DOI: 10.1155/2017/4078346
Source DB: PubMed Journal: Biomed Res Int Impact factor: 3.411
ncRNAs causing insulin resistance related disorders.
| ncRNA | Disease condition | Effect | Description |
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| miRNAs | |||
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| miR-15a | Chronic glucotoxicity | Negative, prognostic/diagnostic | Overexpression increases the biosynthesis of insulin. Upregulated in short term high glucose levels and downregulated in the long term [ |
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| miR-34a |
| Negative, prognostic | Critical factor leading to diseases related to insulin resistance [ |
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| miR-375 | Hyperglycemia | Negative, prognostic/diagnostic | Suppresses target genes for insulin secretion. Affects the |
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| miR-200a | Diabetes | Negative, diagnostic | Highly expressed in the pancreatic islets of diabetic mice [ |
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| miR-150 | Type 2 diabetes | Negative, diagnostic | Upregulation is seen [ |
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| lncRNAs | |||
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| Metastasis Associated Lung Adenocarcinoma Transcript 1 (MALAT1) | Found to be a candidate for gene regulation in islets | — | Highly conserved and abundantly expressed in pancreas and other cell types, altered regulation is seen with disease conditions [ |
ncRNAs causing cardiovascular diseases.
| ncRNA | Disease condition | Effect | Description |
|---|---|---|---|
| miRNAs | |||
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| miR-378 | Cardiac fibrosis | Negative, prognostic/diagnostic | Abnormal expression could induce cardiac fibrosis targeting TFG- |
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| miR-126 | Endothelial dysfunction and inflammation | Negative, prognostic | Negative regulation of angiogenesis in epithelial cells [ |
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| miR-221 | Initial stages of atherosclerosis | Positive, therapeutic | Inflammatory response of endothelial cells and showing antiangiogenic effects [ |
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| miR-143 | Injured or atherosclerosis | Negative, prognostic | Regulation of phenotype of VSMCs in response to injury [ |
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| miR-21 | Vascular injury | Positive, therapeutic | Phenotypic modulation of VSMCs [ |
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| miR-208a | Acute Myocardial Infarction (AMI) | Negative, prognostic/diagnostic | Causes hypertrophic cardiac growth and fibrosis [ |
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| miR-23a | Pathological hypertrophy | Negative, prognostic/therapeutic | Upregulated as a result of hypertrophic stimuli in cardiomyocytes, downregulation can be done by ASO [ |
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| miR-29 | Fibrosis and scar formation | Negative, prognostic | Expression levels drop after a myocardial infarction [ |
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| miR-19 | Acute Coronary Syndrome (ACS) and coronary artery disease (CAD) | Negative, prognostic/diagnostic | Microparticles from plasma shows elevated amounts in ACS patients when compared to CAD patients [ |
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| miR-1 | Arrhythmias | Diagnostic | The presence of these miRNAs can be used as diagnostic features for arrhythmia, fibrosis, and metabolic disorders [ |
| miR-21 | Fibrosis | Diagnostic | |
| miR-33 | Metabolic disorders | Diagnostic | |
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| circRNAs | |||
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| Heart Related Circular RNA (HRCR) | Cardiac hypertrophy and heart failure | Positive, prognostic/therapeutic | Protects the heart from pathological conditions caused by miR-223 by acting as its miRNA sponge resulting in increased amounts of ARC expressions. HRCR is therefore a target for drug development [ |
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| Cdr1as | Myocardial infarction injuries | Negative, prognostic | miR-7 sponge, the target genes of miR-7 are SP1 and PARP (poly-ADP-ribose polymerase) and they cause cell apoptosis; therefore the reduction in miR-7 increases the cell apoptosis causing SP1 and PARP [ |
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| Circ-Foxo3 | Cardiac senescence | Negative, diagnostic | Highly expressed in patients and causes cells to be held up at G1 phase unable to transit to S phase. Represses cell cycle progression and proliferation [ |
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| Circular Antisense non coding RNA in INK4 locus (cANRIL) | Atherosclerosis risk | Negative, diagnostic | Regulate atherosclerosis [ |
ncRNAs affecting both cardiovascular diseases and insulin resistance.
| ncRNA | Insulin resistance effect | Cardiovascular effect | Description |
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| miR-34a | Hyperglycemia | Impaired angiogenesis | miR-34a dependent gene regulatory system governs SIRT1 levels and eNOS modifications, both of which affect the two related disease conditions [ |
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| miR-134 | Diabetes mellitus | Microvascular structure formation and reduced cell migration | Highly expressed in patients with the two disease conditions [ |
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| miR-130a | Diabetes mellitus | Endothelial Progenitor Cell (EPCs) regulation | Diabetes mellitus patients show decreased proliferation, colony formation, and migration but increased apoptosis in EPCs [ |
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| miR-24 | High glucose levels | VSMC pathology | miR-24 targets genes causing high glucose induced cell proliferation and migration [ |
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| miR-504 | Diabetes mellitus | VSMC dysfunction | Upregulation causing both conditions in patients [ |
Figure 1Comparison of human and mice transcriptomes [4].
Comparison of different technologies available for ncRNA analysis.
| Method | Throughput | Cost | Transcript abundance | Produce absolute results | Require a priori knowledge | Accuracy of results |
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| RNA-sequencing | High | Low | Low | Yes | No | High |
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| DNA microarrays | High | Low | High | No | Yes | Depends on transcript abundance |
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| Genomic tiling arrays | High | Low | Low | Yes | No | High |
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| Tissue microarrays | Very high | Low | Low | No | Yes | High |
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| Northern blotting | Low | Low | High | No | Yes | Low |
Associations between miRNAs and cytokines in relation to cardiovascular diseases and insulin resistance.
| miRNA | Related cytokines | Effect | Description |
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| miR-34a | Proinflammatory cytokines (Interleukin, IL, and Tumor Necrosis Factor, TNF) | Upregulated miRNA levels with the increase in cytokine levels | MIN6 cells induced with proinflammatory cytokines show a significant induction of miR-34a, miR-21, and miR-146 miRNAs and subsequent blockade of these miRNAs prevented cytokine induced reduction in GSIS and protected |
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| miR-103 | TNF- | Downregulated miRNA levels with the increase in cytokine levels | miR-103, miR-143, and miR-107 are induced in the process of adipogenesis, but after treatment of TNF- |
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| miR-99a | IL-6 | Downregulated miRNA levels with the increase in cytokine levels | miR-99a and miR-325 show a negative correlation with IL-6 concentration in human subcutaneous and omental adipose tissue [ |
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| miRNA-125a-5p | IL-6 | Downregulated cytokine levels with the increase in miRNA-125a-5p | miRNA-125a-5p mediates lipid uptake and decreases the secretion of inflammatory cytokines such as IL-6, TNF- |
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| miR-221 | TNF- | Upregulated miRNA levels with the increase in cytokine levels | miR-221 and miR-222 correlate positively with TNF and negatively with adiponectin [ |