Potential Roles of MicroRNAs in Neurodegenerative Diseases
Year 2024,
Volume: 14 Issue: 1, 1 - 6, 24.04.2024
Medinenur Yozlu
,
Duygun Gezen Ak
,
Emrah Yücesan
Abstract
Neurodegenerative diseases are defined by advanced neuronal loss and can occur in hereditary or sporadic forms. As is generally known, the most common neurodegenerative diseases are Alzheimer’s disease (AD) and Parkinson’s disease (PD). Among these, AD is defined by the accumulation of beta-amyloid plaques, hyper phosphorylation of tau proteins, and chronic inflammation leading to neuronal loss. PD is related to the degeneration of dopaminergic neurons in the substantia nigra. Because of the wide heterogeneity of neurodegenerative diseases, various difficulties are encountered in diagnosing disease subtypes and developing effective treatment approaches. In recent years, microRNAs (miRNAs) have become efficient genetic biomarkers for several diseases. miRNAs regulate gene expressions post-transcriptionally and thus play a role in numerous neuronal and non-neuronal cell functions. Prior investigations have indicated the expression of miRNAs to become altered under pathological conditions, thereby suggesting that they may play a role in neurodegenerative diseases. This review focuses on the function of miRNAs in neurodegeneration and the possible contribution of altered levels of miRNAs and their target mRNAs in AD and PD patients compared to the controls shown in the previous studies. In short, altered expressions of miRNAs may play a role as potential diagnostic biomarkers with regard to neurodegenerative diseases.
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Year 2024,
Volume: 14 Issue: 1, 1 - 6, 24.04.2024
Medinenur Yozlu
,
Duygun Gezen Ak
,
Emrah Yücesan
References
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- Bushati N, Cohen SM. MicroRNAs in neurodegeneration. Curr Opin Neurobiol 2008; 18(3): 292-6. google scholar
- Micheli F, Palermo R, Talora C, Ferretti E, Vacca A, Napolitano M. Regulation of proapoptotic proteins Bak1 and p53 by miR-125b in an experimental model of Alzheimer’s disease: Protective role of 170-estradiol. Neurosci Lett 2016; 629: 234-40. google scholar
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- Wang CN, Wang YJ, Wang H, Song L, Chen Y, Wang JL, et al. The anti-dementia effects of donepezil involve miR-206-3p in the hippocampus and cortex. Biol Pharm Bull 2017; 40(4): 465-72. google scholar
- Li H, Yu L, Li M, Chen X, Tian Q, Jiang Y, et al. MicroRNA-150 serves as a diagnostic biomarker and is involved in the inflammatory pathogenesis of Parkinson’s disease. Mol Genet Genomic Med 2020; 8(4): e1189. google scholar
- Zhou Y, Lu M, Du RH, Qiao C, Jiang CY, Zhang KZ, et al. MicroRNA-7 targets nod-like receptor protein 3 inflammasome to modulate neuroinflammation in the pathogenesis of Parkinson’s disease. Mol Neurodegener 2016; 11(1): 28. google scholar
- Stein CS, McLendon JM, Witmer NH, Boudreau RL. Modulation of miR-181 influences dopaminergic neuronal degeneration in a mouse model of Parkinson’s disease. Mol Ther Nucleic Acids 2022; 28: 1-15. google scholar
- Vahia VN. Diagnostic and statistical manual of mental disorders 5: a quick glance. Indian J Psychiatry 2013; 55(3): 220. google scholar
- Zhao Y, Zhang Y, Zhang L, Dong Y, Ji H, Shen L. The potential markers of circulating microRNAs and long non-coding RNAs in Alzheimer’s disease. Aging Dis 2019; 10(6): 1293-301. google scholar
- Hickman RA, Faustin A, Wisniewski T. Alzheimer Disease and its growing epidemic: risk factors, biomarkers, and the urgent need for therapeutics. Neurol Clin 2016; 34(4): 941-53. google scholar
- Calabro M, Rinaldi C, Santoro G, Crisafulli C. The biological pathways of Alzheimer disease: a review. AIMS Neurosci 2020; 8(1): 86-132. google scholar
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- Souza VC, Morais GS, Henriques AD, Machado-Silva W, Perez DIV, Brito CJ, et al. Whole-blood levels of microRNA-9 are decreased in patients with late-onset Alzheimer Disease. Am J Alzheimers Dis Other Demen 2020; 35: 1533317520911573. google scholar
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- Wu HZY, Thalamuthu A, Cheng L, Fowler C, Masters CL, Sachdev P, et al. Differential blood miRNA expression in brain amyloid imaging-defined Alzheimer’s disease and controls. Alzheimers Res Ther 2020; 12(1): 59. google scholar
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- Geng L, Zhang T, Liu W, Chen Y. Inhibition of miR-128 abates A0-mediated cytotoxicity by targeting PPAR-y via NF-kB inactivation in primary mouse cortical neurons and Neuro2a cells. Yonsei Med J 2018; 59(9): 1096-106. google scholar
- Balestrino R, Schapira AHV. Parkinson disease. Eur J Neurol 2020; 27(1): 27-42. google scholar
- Ascherio A, Schwarzschild MA. The epidemiology of Parkinson’s disease: risk factors and prevention. Lancet Neurol 2016; 15(12): 1257-72. google scholar
- Hallett PJ, Engelender S, Isacson O. Lipid and immune abnormalities causing age-dependent neurodegeneration and Parkinson’s disease. J Neuroinflammation 2019; 16(1):153 google scholar
- Cacabelos R. Parkinson’s disease: from pathogenesis to pharmacogenomics. Int J Mol Sci 2017; 18(3): 551. google scholar
- Wu L, Xu Q, Zhou M, Chen Y, Jiang C, Jiang Y, et al. Plasma miR-153 and miR-223 levels as potential biomarkers in Parkinson’s disease. Front Neurosci 2022; 16: 865139. google scholar
- Yang Z, Li T, Li S, Wei M, Qi H, Shen B, et al. Altered expression levels of microRNA-132 and Nurr1 in peripheral blood of Parkinson’s disease: potential disease biomarkers. ACS Chem Neurosci 2019; 10(5): 2243-9. google scholar
- Han L, Tang Y, Bai X, Liang X, Fan Y, Shen Y, et al. Association of the serum microRNA-29 family with cognitive impairment in Parkinson’s disease. Aging 2020; 12(13): 13518-28. google scholar
- Guo R, Fan G, Zhang J, Wu C, Du Y, Ye H, et al. A 9-microRNA signature in serum serves as a noninvasive biomarker in early diagnosis of Alzheimer’s disease. J Alzheimer’s Dis 2017; 60(4): 1365-77. google scholar
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- Khoo SK, Petillo D, Kang UJ, Resau JH, Berryhill B, Linder J, et al. Plasma-based circulating microRNA biomarkers for Parkinson’s disease. J Parkinsons Dis 2012; 2(4): 321-31. google scholar
- He S, Huang L, Shao C, Nie T, Xia L, Cui B, et al. Several miRNAs derived from serum extracellular vesicles are potential biomarkers for early diagnosis and progression of Parkinson’s disease. Transl Neurodegener 2021; 10(1): 1-12. google scholar