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JCMJournal of Clinical Medicine
  • Review
  • Open Access

23 December 2020

The Importance of Non-Coding RNAs in Neurodegenerative Processes of Diabetes-Related Molecular Pathways

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1
Centre for Preclinical Research and Technology, Department of Experimental and Clinical Pharmacology, Medical University of Warsaw, 02-091 Warsaw, Poland
2
1st Chair and Department of Cardiology, Medical University of Warsaw, 02-091 Warsaw, Poland
*
Author to whom correspondence should be addressed.

Abstract

Diabetes mellitus (DM) is a complex condition and serious health problem, with growing occurrence of DM-associated complications occurring globally. Persistent hyperglycemia is confirmed as promoting neurovascular dysfunction leading to irreversible endothelial cell dysfunction, increased neuronal cell apoptosis, oxidative stress and inflammation. These collaboratively and individually result in micro- and macroangiopathy as well as neuropathy demonstrated by progressive neuronal loss. Recently, major efforts have been pursued to select not only useful diagnostic and prognostic biomarkers, but also novel therapeutic approaches. Both microRNAs (miRNAs) and long non-coding RNAs (lncRNAs) belong to a class of non-coding RNAs identified in most of the body fluids i.e., peripheral blood, cerebrospinal fluid, brain tissue and neurons. Numerous miRNAs, lncRNAs and their target genes are able to modulate signaling pathways known to play a role in the pathophysiology of progressive neuronal dysfunction. Therefore, they pose as promising biomarkers and treatment for the vast majority of neurodegenerative disorders. This review provides an overall assessment of both miRNAs’ and lncRNAs’ utility in decelerating progressive nervous system impairment, including neurodegeneration in diabetic pathways.

1. Introduction

Diabetes mellitus (DM) is one of the most common chronic diseases worldwide [1]. In accordance with the latest edition of the International Diabetes Federation reports, currently almost half a billion people suffer from diabetes and by 2045 this count will reach 700 million [2]. DM is defined by persistent hyperglycemia and defective metabolism of carbohydrates caused by decreased secretion and increased resistance of insulin as a consequence of β-cells dysfunction [3]. Nearly half of patients present with poorly controlled diabetes which leads to a series of macro- and microvascular complications including cardiovascular disease (CVD), diabetic neuropathies such as retinopathy, and corneal neuropathy [4]. Although recent studies have shed light upon a correlation between DM and nervous system complications, i.e., neuropathy, neurovascular dysfunction, and neuroinflammation resulting from progressive neurodegeneration, particular underlying mechanisms are yet to be fully elucidated [5,6].
Type 1 diabetes mellitus (T1DM) is a chronic disease, in which the autoimmune system destroys the pancreatic beta cells responsible for insulin production [7]. Insulin possesses anabolic and anti-catabolic properties and maintains homeostasis of carbohydrate metabolism. Meanwhile, insulin deficiency leads to constant hyperglycemia [8]. The role of immune breakdown, including the expansion of CD4+ and CD8+ autoreactive T cells as well as B lymphocytes responsible for the production of autoantibodies, is underlined in the pathogenesis of T1DM [9]. Many scientists have researched the correlation of T1DM with retinal neurodegeneration, one of the earliest complications in T1DM [10,11].
Type 2 diabetes (T2DM) is a potentially reversible disease, characterized by high blood glucose, insulin resistance and relative lack of insulin. Insulin resistance is the earliest abnormality and major pathophysiological factor of T2DM. The role of insulin signaling defects, glucose transportation defects or lipo-toxicity are underlined in a study of insulin resistance pathophysiology [12]. Another key component of T2DM onset and progression is B-cells apoptosis. Although genetic abnormalities also play a role in the mechanism of T2DM, an unhealthy diet as well as a sedentary lifestyle lead to obesity and are crucial factors in the disease’s pathophysiology [3]. Various reports indicate that there is a link between T2DM and the development of neurodegenerative diseases as well as exacerbation of the neurodegenerative processes [13].
The alteration of microRNA (miRNA, miR) and long non-coding RNA (lncRNA) expression along with their relation to the pathophysiological mechanisms of chronic hyperglycemia was documented in diabetic neuropathy. LncRNA are a class of RNA non-protein transcripts longer than 200 nucleotides, serving as transcriptional regulators able to impact cellular processes, i.e., proliferation, differentiation or apoptosis [14,15,16,17,18]. They participate in numerous biological processes such as regulation of gene expression through mRNA splicing, transcription regulation, translation regulation and genomic imprinting [14,15,16,17,18,19]. LncRNAs are capable of modifying cellular responses through down- or up-regulation in microvascular degeneration and in high glucose-induced neuronal injury. This should be taken into consideration when considering these proteins as a novel therapeutic approach in diabetic-induced neurodegeneration, along with miRNAs (other promising molecules also broadly analyzed) [20,21]. MiRNAs are small (18–25 nucleotides), endogenous, single-stranded and non-coding RNAs, that are able to modulate approximately 60% of mammalian protein coding genes post-transcriptionally. MiRNAs are considered to play a pivotal role in many common disorders, e.g., DM, CVD as well as ischemic stroke [16,18]. Moreover, particular miRNAs were found to upregulate or downregulate particular cellular responses in diabetes-induced neurovascular injuries. Therefore, it is hypothesized that certain miRNAs and lncRNAs could be novel biomarkers and could direct a novel therapeutic approach in diabetic neuropathies [22]. This review aims to provide an overall overview of the current knowledge of miRNAs and lncRNAs in neurodegeneration and neuro-regenerative processes resulting from DM.

4. Concluding Remarks and Limitations

Increasing incidence of DM and its complications constitute a major medical care burden worldwide. Asymptomatic onset and constant progression of DM-associated neurovascular complications in line with limited diagnostic and therapeutic strategies are deemed crucial in searching for novel biomarkers and therapeutics. Since miRNAs and lncRNAs seem to play pivotal roles in modulation of DM-induced neurodegeneration, their molecular relation is broadly discussed. Despite the fact that underlying mechanisms of diabetic neurodegeneration are still not fully recognized, prior studies highlighted the pivotal role of apoptosis, oxidative stress, inflammation and mitochondrial dysfunction. High glucose-induced cell apoptosis and nerve degeneration along with a reduced rate of nerve regeneration play an important role in the progression of peripheral neuropathy among diabetic patients [84]. The correlation between non-coding RNAs (including miRNAs and lncRNAs) and nerve regeneration has been demonstrated in numerous studies. There are several non-coding RNAs found to be downregulated or upregulated in DM. Several studies demonstrated the promising role of these molecules as potential therapeutic approaches in miRNA- and lncRNA-based novel treatments. As described above, this novel treatment can be achieved by using antagonists or mimics of miRNAs/lncRNAs, as some of those molecules’ silencing shows the protective effect, whereas some of these show the protective effect by overexpressing. Yet the detailed mechanism of action of described miRNAs and lncRNAs on neurodegeneration due to diabetes-related oxidative stress and inflammation has not been fully explained and more studies need to be conducted.

Author Contributions

J.J.-P., C.E. contributed to the data collection and elaboration, writing and approval of manuscript; and is guarantor of the article. L.S., M.W., A.G., T.A., P.C., D.J., W.-L.L., D.M.-G., M.P., and C.E. contributed discussion and writing and approval of manuscript. D.M.-G. contributed valuable revision of manuscript. C.E. contributed valuable contributions to graphical designs. The corresponding author attests that all listed authors meet authorship criteria and that no others meeting the criteria have been omitted. All authors have read and agreed to the published version of the manuscript.

Funding

M.P. supported financially as part of the research grant ‘OPUS’ from the National Science Center, Poland (grant number 2018/31/B/NZ7/01137) and internal funding of the Department of Experimental and Clinical Pharmacology, Medical University of Warsaw, Centre for Preclinical Research and Technology CEPT, Warsaw, Poland.

Acknowledgments

This paper was written as a part of cooperation of the international scientific group I-COMET (International Cardiovascular and Cardiometabolic Research Team, www.icomet.science).

Conflicts of Interest

The authors state there are no conflict of interest.

Abbreviations

AGEsAdvanced glycation end products
AgRPAgouti-related protein
ADAlzheimer’s disease
Amyloid-β
Ang-1Angiopoietin 1
ARCArcuate nucleus of the hypothalamus
Atg4BAutophagy related gene 4B
Bcl-2B-cell lymphoma 2
BDNFBrain-derived neurotrophic factor
CNSCentral nervous system
CSVDCerebral small vessel disease
CARTCocaine and amphetamine-related transcript
DMDiabetes Mellitus
DCNDiabetic corneal neuropathy
DPNDiabetic peripheral neuropathy
DicerEndoribonuclease
DIODiet-induced obesity
DRGDorsal root ganglia
ECsEndothelial cells
GAS5Growth arrest-specific transcript 5
GFAPGlial fibrillary acidic protein
GFPGreen fluorescent protein
HO-1Heme oxygenase-1
HGHigh glucose
hCMEC/D3Human cerebral endothelial cell model
HDHuntington’s Disease
IRS-1Increased insulin receptor substrate 1
iPSCInduced pluripotent stem cells
IRS-1Insulin receptor substrate 1
IRAK1Interleukin 1 Receptor Associated Kinase 1
IL-1βInterleukin-1β
IL-2Interleukin 2
IL-6Interleukin 6
IPIntraperitoneal
LARP7La ribonucleoprotein domain family member 7
lncRNALong noncoding RNA,
MSCMesenchymal stromal cells,
MALAT1Metastasis-associated lung adenocarcinoma transcript 1
miRsMicroRNAs, miRNAs
LC3-IIMicrotubule-associated protein 1 light chain 3
miRISCMiRNA induced silencing complex
MCP-1Monocyte chemotactic protein-1
NOX4NADPH oxidase 4
NTCNegative Treated Control
NPYNeuropeptide Y
NEAT1Nuclear paraspeckle assembly transcript 1
Nrf2Nuclear factor erythroid 2-related factor 2
NF-κBNuclear factor kappa-light-chain-enhancer of activated B cells
PDParkinson’s Disease,
PTIP 1Pax transactivation domain-interacting protein 1
p-NFkBPhospho NFkB
PDE3APhosphodiesterase 3a
POMCPro-opiomelanocortin
PDCD4Programmed cell death protein 4
Ago-2Protein argonaute-2
qPCRQuantitative real-time PCR
ROSReactive oxygen species
RAGEReceptor for advanced glycation end
RGCsRetinal ganglion cells
Sirt1Silent mating type information regulation 2 homolog 1
Sox2OTSox2 overlapping transcript
STZStreptozocin
Tβ4Thymosin beta 4
TRAF6TNF Receptor Associated Factor 6
TLR4Toll-like receptor 4
TRPM7Transient receptor potential melastatin 7
TRAF6Tumor necrosis factor (TNFR)-associated factor 6
TNF-αTumor necrosis factor α
T1DMType 1 Diabetes Mellitus
UTR30 untranslated region
VCAM-1Vascular cell adhesion molecule-1
VEGFVascular endothelial growth factor
YFPYellow fluorescent protein

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