Submitted Successfully!
To reward your contribution, here is a gift for you: A free trial for our video production service.
Thank you for your contribution! You can also upload a video entry or images related to this topic.
Version Summary Created by Modification Content Size Created at Operation
1 -- 3150 2022-12-12 11:40:58 |
2 update references and layout + 27 word(s) 3177 2022-12-13 02:09:27 | |
3 ok Meta information modification 3177 2022-12-13 03:58:36 | |
4 ok Meta information modification 3177 2022-12-13 04:00:03 |

Video Upload Options

We provide professional Video Production Services to translate complex research into visually appealing presentations. Would you like to try it?

Confirm

Are you sure to Delete?
Cite
If you have any further questions, please contact Encyclopedia Editorial Office.
Jin, L.;  Zhang, J.;  Chen, Z.;  Chen, H.;  Deng, Y.;  Li, S. Roles of miRNAs in Neurodegenerative Diseases. Encyclopedia. Available online: https://encyclopedia.pub/entry/38595 (accessed on 04 January 2025).
Jin L,  Zhang J,  Chen Z,  Chen H,  Deng Y,  Li S. Roles of miRNAs in Neurodegenerative Diseases. Encyclopedia. Available at: https://encyclopedia.pub/entry/38595. Accessed January 04, 2025.
Jin, Lian, Juan Zhang, Zhu Chen, Hui Chen, Yan Deng, Song Li. "Roles of miRNAs in Neurodegenerative Diseases" Encyclopedia, https://encyclopedia.pub/entry/38595 (accessed January 04, 2025).
Jin, L.,  Zhang, J.,  Chen, Z.,  Chen, H.,  Deng, Y., & Li, S. (2022, December 12). Roles of miRNAs in Neurodegenerative Diseases. In Encyclopedia. https://encyclopedia.pub/entry/38595
Jin, Lian, et al. "Roles of miRNAs in Neurodegenerative Diseases." Encyclopedia. Web. 12 December, 2022.
Roles of miRNAs in Neurodegenerative Diseases
Edit

There are many types of neurodegenerative diseases, and the most common ones are Alzheimer’s disease (AD), Parkinson’s disease (PD), Amyotrophic lateral sclerosis (ALS) and Huntington’s disease (HD). AD is a neuron-centered disease generally characterized by Aβ and tau phosphorylation. PD is generally characterized by progressive deterioration of motor function due to loss of nigrostriatal dopaminergic neurons with muscle rigidity, bradykinesia and resting tremor. ALS is a fatal onset disease characterized by selective loss of upper and lower motor neurons. HD is a predominantly genetic disease, for which there is no drug cure and it is ultimately fatal. Although their underlying mechanisms remain elusive, many studies have revealed that a series of miRNAs are involved in the development of these diseases. MiRNA regulation happens prior to neurological damage, which emphasizes the significance of miRNA alterations in the disease development. Upregulation/downregulation of miRNA expression leads to the alteration of the protein expressed by the corresponding pathogenic gene, which ultimately results in occurrence and development of neurodegenerative diseases.

neurodegenerative diseases microRNA early diagnosis

1. miRNA in Alzheimer’s Disease (AD)

AD is the most common neurodegenerative disease that often occurs in people over the age of 65 and affects cognition, memory, language and behavior. It affects around 40 to 50 million people worldwide, but the number of cases is expected to triple by 2050 due to population growth and aging [1]. Although many efforts have been made in the past few decades, the complex pathogenesis of the disease remains unclarified, which limits the development of both diagnosis and treatment methods [2][3][4][5]. The potential of miRNA as biomarkers for early diagnosis of AD has attracted much attention as more and more miRNAs have been found altered in various processes implicated in AD. AD is characterized by two landmarks, the overproduction of Aβ and hyperphosphorylation of tau protein (Figure 1). Moreover, both oxidative stress and neuroinflammation have been reported to contribute to the development of AD [6]. Quite a lot of miRNAs has been reported to be implicated in these processes during AD development. MiR-132, known as “NeurimmiR” due to its involvement in numerous neurophysiological and pathological processes, was identified to be involved in Aβ and tau pathology [7]. Another study showed a few miRNAs such as miR-592, miR-125b and miR-144 were dysregulated, which were associated with AD by regulating oxidative stress [8]. Similarly, a number of miRNAs including miR-155 and miR-146a were investigated and are believed to contribute to the process of neuroinflammation in AD [9].
Figure 1. MiRNAs abnormally expressed miRNAs in AD.

1.1. Role of miRNAs in Aβ Deposition

In AD, the dysregulation of the Aβ level leads to the appearance of senile plaques which contain Aβ depositions. Aβ is a complex biological molecule which interacts with many types of receptors and/or forms insoluble assemblies [10][11]. Aβ is generated by sequential cleavages of amyloid precursor protein (APP) by beta-site APP cleaving enzyme 1 (BACE1) and γ-secretases [12][13]. Its non-physiological depositions alternate with the normal neuronal conditions, impairing synaptic activity and inducing neuritis as well as triggering neurodegeneration. Thus, the role of Aβ deposition in AD has been extensively studied, including the miRNAs involved in this process. For instance, blood samples were collected from 33 AD patients and 33 healthy controls for experiments, and the mRNA expression levels of miR-4722-5p and miR-615-3p were up-regulated in AD [14]. Another study collected serum and cerebrospinal fluid (CSF) samples from 66 AD patients, and the expression levels of miR-27a-3p and NEAT1 in serum and CSF were measured by real-time quantitative PCR experiments. It was concluded that decreased miR-27a-3p levels and increased NEAT1 levels lead to Aβ deposition [15]. To clarify the underlying pathogenesis, both SH-SY5Y cells and rats were treated with amyloid protein and then miR-27a-3p [15]. Results suggest that amyloid protein triggered upregulated NETA1 and downregulated miR-27a-3p and that these effects were improved by miR-27a-3p compensation [15]. The role of NETA1 was further clarified by another two groups and confirmed that NETA1 could sponge-bind miR-107 and miR-24, promote Aβ deposition, and aggravate Aβ-induced neuronal damage [16][17]. By investigating the expression levels of miR-106b in AD patients, experimental studies showed that miR-106b was significantly downregulated in AD [18]. Down-regulation of miR-106b led to an increase in Aβ levels, which might be due to increased expression of BACE1, thereby driving the shift of APP to the Aβ hydrolysis pathway and promoting Aβ deposition [13]. In clinical and mouse model studies, miR-106b expression can be regulated by simvastatin to improve the symptoms of AD [19]. Reduced expression of miR-107 in early AD patients might enable Aβ deposition through regulation of BACE1 [20][21]. In a mouse model of AD, some drugs improved memory loss and reduced Aβ deposition in mice [22]. MiR-29c [23], miR-195 [24], and miR-124 [25] were demonstrated to inhibit the expression of BACE1 by binding with the 3 ‘-UTRs of BACE1. As the levels of these miRNAs decreased in AD, the levels of Aβ increased. The down-regulated expression of miR-16 [10][26], miR-153 [27] and miR-101 [28], which all bind to the 3′-UTRs of APP, resulted in an increase in the transcription and protein expression of APP and a further increase in the production of Aβ. Another study showed that the expression profile of miR-455-3p was significantly upregulated in AD patients compared to the healthy group [29]. In transgenic AD mice, the expression of miR-26a-5p was reduced, which could be regulated by DYRK1A and overexpression of miR-26a-5p was able to inhibit Aβ deposition [30]. Similarly, in transgenic mice and SH-SY5Y cells, overexpression of miR-335-5p significantly decreased protein levels of Aβ in cells and reduced apoptosis, while inhibition of miR-335-5p produced the opposite result. Furthermore, overexpression of miR-335-5p significantly improved cognitive performance in transgenic mice [31]. MiR-340 was downregulated in AD mice and reduced Aβ accumulation by targeting BACE1 [32]. MiR-128 was upregulated in the cerebral cortex of AD mice and knockout miR-128 suppressed symptoms and reduced Aβ production in AD mice [33]. Therefore, a considerable number of miRNAs play roles in Aβ deposition.

1.2. Role of miRNAs in Tau Phosphorylation

Elevated phosphorylation and aggregation of tau protein are widely considered pathological hallmarks of AD [34]. The microtubule-associated tau protein contributes to the stability of axonal microtubules in the brain and is involved in the regulation of axon outgrowth and axonal transport. The binding of tau to microtubules is regulated by post-translational modifications, mostly phosphorylation, which also controls various other less characterized functions of tau [35]. Moreover, tau protein is an important component of neurofibrillary tangles, affecting mitochondrial respiration and synaptic information transmission in neurons [36]. However, the underlying mechanisms remain elusive, which limits the development of effective diagnosing and treatment methods in terms of tau phosphorylation. MiRNAs stand out as potential biomarkers contributing to clarifying the pathogenesis. In animal and cellular models of AD, the expression of miR-200a-3p was suppressed, and miR-200a-3p treatment inhibited apoptosis, inactivated Bax/caspase-3 axis and phosphorylated tau protein [37]. Mechanistically, these effects were mediated by regulating the transport of BACE1 and PRKACB [38]. In detail, the neuroprotective effect of miR-200a-3p was achieved through inhibition of BACE1 expression and subsequent inhibition of Aβ production and reduction of PKA expression and tau phosphorylation [37]. Quite a lot of studies have confirmed downregulation of miR-132 in AD and proposed that miR-132 is involved in AD by controlling apoptosis and tau phosphorylation [39][40][41][42]. Meanwhile, miR-132 expression was shown to be reduced in AD-derived plasma exosomes [39]. Moreover, it was shown that over-expressed miR-425-5p induced apoptosis and promoted tau phosphorylation by targeting the HSPB8 fraction in AD [43]. MiR-146a was also upregulated in AD, and miR-146a adjustment was shown to improve cognitive impairment and alleviate the entire pathological processes, including tau phosphorylation, in APP/PS1 transgenic mice, a mouse model of AD [44]. Collectively, a series of miRNAs are tightly associated with tau phosphorylation.

1.3. Role of miRNAs in Oxidative Stress

Oxidative stress could activate microglia and astrocytes, leading to Ca2+ influx and mitochondrial damage in synapses, followed by AD [45]. Oxidative stress is caused by an imbalanced redox state, including overproduction of reactive oxygen species (ROS) or dysfunction of the antioxidant system [46]. The brain is one of the organs particularly vulnerable to ROS because of its high oxygen demand and abundance of peroxidizable fat cells [46]. Physiological changes in these cells may lead to a variety of pathological conditions and human diseases, especially AD [47]. According to numerous studies, oxidative stress has been considered important for the development of AD because it can cause chronic inflammation in the early stages of neurodegeneration, leading to mitochondrial dysfunction, oxidative damage to nucleic acids, changes in gene expression, and abnormal modification of lipids and proteins [6][46][47][48]. A group of miRNAs have been proposed to contribute to these processes. It was indicated that miR-125b induced oxidative stress by inducing Aβ peptide production and sphingosine kinase 1 suppression in an in vitro model of AD [49]. Other studies showed miR-592 and miR-144 modulated oxidative stress by targeting nuclear factor erythroid 2-related factor 2 (Nrf2) in primary astrocytes and SH-SY5Y cells, respectively [50][51]. Similarly, miR-25 affected a form of Aβ-induced oxidative stress by downregulating Nrf2, leading to apoptosis induction [52]. In AD models, overexpression of miR-1273g-3p and miR-539-5p induced oxidative stress, ultimately leading to Aβ production [53][54]. MiR-34a-5p and miR-125b-5p reduced oxidative stress by targeting BACE1, inhibited Aβ-induced neurotoxicity, and provided new targets for AD [55].

1.4. Role of miRNAs in Neuroinflammation

Neuroinflammation is also an important factor in the pathogenesis of AD [56]. Neuroinflammation is generally defined as an inflammatory response in the central nervous system (CNS) that is caused by trauma, ischemia, infection and other pathological injuries such as toxin accumulation [57]. According to research reports, AD is associated with neuroinflammatory responses, including enhanced astrocyte reactivity, microglia activity, and increased chemokine and inflammatory cytokine loads, which are together believed to promote neurodegeneration [58]. Neuroinflammation is considered to be an important driver in AD, which is generally a chronic process that does not resolve on its own and is associated with the blood-brain barrier and multiple pro-inflammatory factors. There have also been many studies suggesting that AD was closely related to immune mechanisms, which were briefly described here [59][60][61]. In detail, elevated levels of proteins associated with AD pathology and disease severity in AD were positively correlated because these proteins could stimulate receptors on astrocytes and microglia to trigger immune responses, which led to the release of inflammatory mediators [62][63][64]. Another study showed that miR-155 activated astrocytes and led to the production of several pro-inflammatory cytokines (IL-1β, IL-6, and TNF-α) [65]. Activation of inflammasomes in the context of neuroinflammation ultimately led to focal chain cell death by regulating secretion of pro-inflammatory cytokines and cleavage of the N-terminal end of gasdermin D (GSDMD) [66][67]. It was shown that miR-22 expression was reduced in AD patients, and complementation of miR-22 in APP/PS1 mouse model was able to significantly improve memory and behavior and inhibit the expression of pro-inflammatory cytokines such as IL-1β and IL-1 by suppressing GSDMD [68]. Based on these findings, miRNAs could be considered to play an early diagnostic role in the control of neuroinflammation. Thus, miRNAs could be used as an option for early diagnosis of neurodegenerative diseases.

2. miRNA in Parkinson’s Disease (PD)

PD is the second most common neurodegenerative disease in neurology after AD. The dopaminergic neurons of the midbrain nigrostriatal gradually lose their function and accumulate to a certain extent before the onset of the disease, manifesting as movement disorders and even developing into dementia [69]. It displays as the degeneration and death of dopamine neurons in the brain and causes dementia and mental illness as the symptoms spread to other areas of the brain. Its pathological feature is the formation of a Louis body, which is mainly formed by the aggregation of α-synuclein [70]. A series of miRNAs have been proved to be involved in the pathological processes of PD, such as overexpression of α-synuclein and LRRK2 dysregulation [71]. For instance, Briggs and co-workers showed that miR-744 and miR-532-5p were downregulated, while miR-132, miR-92a, miR-27a and miR-148a were upregulated in brain samples of PD patients [72]. MiRNA can regulate the pathological process of PD through the post-transcriptional expression of α-synuclein and LRRK2, which has become a new tool for the early diagnosis of PD.
Mutations in the α-synuclein gene, which encodes the α-synuclein protein, are known to be one of the main hallmarks of PD [73][74][75]. α-Synuclein are located at the synaptic terminal and widely exist in the adult brain, especially in the neocortex and hippocampus [76]. Overproduced α-synuclein were aggregated to form Lewy bodies, leading to the death of dopaminergic neurons, which in turn triggers PD [77]. Therefore, reducing the expression of α-synuclein through pharmacological intervention might alleviate PD symptoms. A large number of studies have shown that many miRNAs could affect the expression of α-synuclein, some of which have been reported in PD patients [78][79][80]. The most significant miRNAs in α-synuclein expression were probably miR-7 and miR-153 [81]. These two miRNAs reduced α-synuclein levels in PD mice through different pathways, with miR-7 inhibiting its translation and miR-153 degrading mRNA [81][82]. These suggested that they might have a neuroprotective effect in PD patients. In PD patients, miR-7 expression was significantly reduced [83]. It was shown that overexpression of miR-153 and miR-7 in human embryonic kidney cell lines HEK293 cells and cortical neurons led to a significant reduction in α-synuclein mRNA and protein expression levels, while miR-7 knockdown induced overexpression of α-synuclein protein levels [81][83]. Other miRNAs identified as regulators of α-synuclein expression include miR-30b, miR-34b/c, miR-214 and miR-433 [84][85][86].
LRRK2 is a member of the leucine-rich repeat protein kinase family, involved in early neurodevelopmental processes, and its acquired mutations cause familial and sporadic PD [87]. LRRK2 interacts with the miRNA pathway to regulate protein synthesis. LRRK2 mutations result in dopaminergic neuronal degeneration and apoptosis via enhancing LRRK2 kinase activity [88]. LRRK2 mutation could also reduce the expression of miRNAs, because LRRK2 mutation affected the two components argonaute-1 and argonaute-2 in RNA-induced silencing complex, which regulate miRNA functions [89]. MiR-205 was down-regulated in the brain tissue of PD patients, and three transcription factors of the LRRK2 gene were inhibited, resulting in a negative correlation between the expression of LRRK2 protein and the expression of miR-205 [90]. In HEK293T cells, overexpression of miR-205 was involved in inhibiting the expression of LRRK2 protein, whereas inhibiting overexpression of miR-205 enhanced the expression of LRRK2 protein [90]. Overexpression of miR-599 inhibited LRRK2 expression, and downregulation of miR-599 protected SH-SY5Y cells from 1-methyl-4-phenyl-1,2,3,6-tetrahydropyridine induced apoptosis [91].

3. miRNA in Amyotrophic Lateral Sclerosis (ALS)

ALS is a fatal neurodegenerative disease with a mean incidence of 1.8/100,000 and a mean prevalence of 3.40/100,000 in North America [92]. It is characterized by progressive loss of upper and lower motor neurons in the spinal cord, cerebral cortex, and brainstem, resulting in muscle weakness and atrophy, and ultimately paralysis [93]. The pathogenic mechanisms of ALS are poorly understood, although a percentage of patients have familial disease or mutations in genes that are closely related to neuronal function [94][95]. The expression profile of miRNAs stands out as a novel direction for the diagnosis and treatment of the disease [96]. To prove that altered expression of miRNAs is an important factor in ALS disease progression, a recent comprehensive analysis revealed that at least 40 miRNAs were differentially expressed in the muscle tissue of ALS subjects [97].
With the deepening of the understanding of miRNAs, studies have found that miRNAs are involved in the regulatory process of ALS [98][99]. In ALS mice, miR-206 was found to be abundantly produced, and its upregulation was consistent with the resulting disorder. It was verified by relevant experiments that the lack of expression of miR-206 can slow down the pathological process of ALS and prolong its lifespan [100]. In ALS, another widely studied miRNA is miR-155. The increase of miR-155 in the brain was a detrimental factor for ALS, as the survival rate of rats was increased when miR-155 expression in ALS model mouse brain was inhibited [101]. This suggested that miR-155 has the potential to be a target for the diagnosis of ALS. In the spinal cord of ALS patients, down-regulation of miR-9 and miR-105 targeted the 3’-UTRs of the three intermediate filaments of INA, NEFL and PRPH to regulate gene expression [102]. Therefore, downregulation of these two miRNAs may lead to an imbalance of intermediate filaments, which in turn slows the progression of ALS. Therefore, miRNAs may be a potential strategy for early diagnosis and treatment of ALS.

4. miRNA in Huntington’s Disease (HD)

HD, as one of the common neurodegenerative diseases, is a genetic and relatively rare disease that is characterized by progressive motor dysfunction, neurocognitive degeneration and brain atrophy [103]. HD is a monogenic disease and the causative gene is Huntingtin (HTT). Patients carrying mutant HTT (mHTT) with more than 36 CAG repeats in the exon 1 region of HTT will gradually develop HD symptoms [104][105][106][107][108][109][110] (Figure 2). The typical characteristics of HD neuropathology include intranuclear inclusions, nuclear aggregates and neuropil aggregates. The cause of death usually is suicide, as HD patients are unable to tolerate the painful conditions of the symptoms [111][112]. However, except for the symptomatic treatment for motor and psychiatric symptoms, there is no effective treatment for this disease. In recent years, the role of miRNA imbalance in neurological disorders has received increasing attention from researchers in search of new diagnostic approaches and treatment strategies. Several studies have reported the expression profile of miRNAs in HD patients, and altered miRNAs were highly correlated with the regulation of molecular or pathological phenotypes [106][113][114][115][116][117][118][119][120]. Thus, in recent years, aberrant miRNA expression has been reported in HD patients, in vitro experimental models and transgenic HD animal models [114][120][121]. In the near future, dysregulation of miRNAs is likely to be useful for early diagnosis of HD.
Figure 2. Schematic representation of HD pathogenesis.
An increasing number of studies have shown that miRNAs were dysregulated in HD [122][123][124]. Reed et al. detected a total of 2081 miRNAs by diagnosing HD patients and normal groups, of which miR-520f-3p, miR-135b-3p, miR-4317, miR-3928-5p, miR-8082, miR-140-5p and other miRNAs were expressed at significantly higher levels in HD patients [114]. The expression of two miRNAs, miR-124a and miR-132, was found to be decreased in transgenic HD mice, which was attributed to the abnormal REST leading to increased levels of the target mRNAs of these two miRNAs, further leading to abnormal expression of miR-124a and miR-132 [125]. The expression level of miR-9 was found to be reduced in the cortex of HD patients compared to the normal group, which was also due to the abnormal REST [126]. These studies suggest that miRNAs are extensively involved in the pathogenesis of HD by regulating the target gene REST. Due to the limited manipulation of miRNA alterations in HD patients, miRNA studies have been extensively investigated and validated in different animal models. The study reported that miR-128a was downregulated in transgenic HD monkeys, and also confirmed that miR-128a was also downregulated in the brains of pre-symptomatic and post-symptomatic HD patients, suggesting that transgenic HD monkeys and HD patients may exhibit some similar profiles of miRNAs [103]. Similarly, in transgenic mouse studies, miR-34a, miR-124 and miR-132 were suppressed in expression in mouse models, which is similar to HD patients [123][127].

References

  1. Collaborators, G.D. Global, regional, and national burden of Alzheimer’s disease and other dementias, 1990–2016: A systematic analysis for the Global Burden of Disease Study 2016. Lancet Neurol. 2019, 18, 88–106.
  2. Xu, Y.; Wang, T.; Chen, Z.; Jin, L.; Wu, Z.; Yan, J.; Zhao, X.; Cai, L.; Deng, Y.; Guo, Y.; et al. The point-of-care-testing of nucleic acids by chip, cartridge and paper sensors. Chin. Chem. Lett. 2021, 32, 3675–3686.
  3. Xiao, C.; Guo, Y.; Zhao, K.; Liu, S.; He, N.; He, Y.; Guo, S.; Chen, Z. Prognostic value of machine learning in patients with acute myocardial infarction. J. Cardiovasc. Dev. Dis. 2022, 9, 56.
  4. Liu, S.; He, X.; Zhang, T.; Zhao, K.; Xiao, C.; Tong, Z.; Jin, L.; He, N.; Deng, Y.; Li, S.; et al. Highly sensitive smartphone-based detection of listeria monocytogenes using SYTO9. Chin. Chem. Lett. 2022, 33, 1933–1935.
  5. Chen, Z.; Zhao, K.; He, Z.; Luo, X.; Qin, Z.; Tan, Y.; Zheng, X.; Wu, Z.; Deng, Y.; Chen, H.; et al. Development and evaluation of a thermostatic nucleic acid testing device based on magnesium pyrophosphate precipitation for detecting enterocytozoon hepatopenaei. Chin. Chem. Lett. 2022, 33, 4053–4056.
  6. Prasad, K.N. Simultaneous activation of Nrf2 and elevation of antioxidant compounds for reducing oxidative stress and chronic inflammation in human Alzheimer’s disease. Mech. Ageing Dev. 2016, 153, 41–47.
  7. Zhang, M.; Bian, Z. Alzheimer’s disease and microRNA-132: A widespread pathological factor and potential therapeutic target. Front. Neurosci. 2021, 15, 687973.
  8. Amakiri, N.; Kubosumi, A.; Tran, J.; Reddy, P.H. Amyloid beta and microRNAs in Alzheimer’s disease. Front. Neurosci. 2019, 13, 430.
  9. Slota, J.A.; Booth, S.A. MicroRNAs in neuroinflammation: Implications in disease pathogenesis, biomarker discovery and therapeutic applications. Noncoding RNA 2019, 5, 35.
  10. Zhong, Z.; Yuan, K.; Tong, X.; Hu, J.; Song, Z.; Zhang, G.; Fang, X.; Zhang, W. MiR-16 attenuates beta-amyloid-induced neurotoxicity through targeting beta-site amyloid precursor protein-cleaving enzyme 1 in an Alzheimer’s disease cell model. Neuroreport 2018, 29, 1365–1372.
  11. Goodenough, S.; Schäfer, M.; Behl, C. Estrogen-induced cell signalling in a cellular model of Alzheimer’s disease. J. Steroid Biochem. Mol. Biol. 2003, 84, 301–305.
  12. Zhang, H.Y.; Zheng, C.Y.; Yan, H.; Wang, Z.F.; Tang, L.L.; Gao, X.; Tang, X.C. Potential therapeutic targets of huperzine a for Alzheimer’s disease and vascular dementia. Chem. Biol. Interact. 2008, 175, 396–402.
  13. Kim, J.; Yoon, H.; Ramírez, C.M.; Lee, S.-M.; Hoe, H.-S.; Fernández-Hernando, C.; Kim, J. miR-106b impairs cholesterol efflux and increases Aβ levels by repressing ABCA1 expression. Exp. Neurol. 2012, 235, 476–483.
  14. Liu, Y.; Xu, Y.; Yu, M. MicroRNA-4722-5p and microRNA-615-3p serve as potential biomarkers for Alzheimer’s disease. Exp. Ther. Med. 2022, 23, 241.
  15. He, L.; Chen, Z.; Wang, J.; Feng, H. Expression relationship and significance of NEAT1 and miR-27a-3p in serum and cerebrospinal fluid of patients with Alzheimer’s disease. BMC Neurol. 2022, 22, 203.
  16. Ke, S.; Yang, Z.; Yang, F.; Wang, X.; Tan, J.; Liao, B. Long noncoding RNA NEAT1 aggravates Aβ-induced neuronal damage by targeting miR-107 in Alzheimer’s disease. Yonsei Med. J. 2019, 60, 640–650.
  17. Zhao, M.Y.; Wang, G.Q.; Wang, N.N.; Yu, Q.Y.; Liu, R.L.; Shi, W.Q. The long-non-coding RNA NEAT1 is a novel target for Alzheimer’s disease progression via miR-124/BACE1 axis. Neurol. Res. 2019, 41, 489–497.
  18. Madadi, S.; Saidijam, M.; Yavari, B.; Soleimani, M. Downregulation of serum miR-106b: A potential biomarker for Alzheimer disease. Arch. Physiol. Biochem. 2022, 128, 875–879.
  19. Huang, W.; Li, Z.; Zhao, L.; Zhao, W. Simvastatin ameliorate memory deficits and inflammation in clinical and mouse model of Alzheimer’s disease via modulating the expression of miR-106b. Biomed. Pharmacother. 2017, 92, 46–57.
  20. Wang, W.X.; Rajeev, B.W.; Stromberg, A.J.; Ren, N.; Tang, G.; Huang, Q.; Rigoutsos, I.; Nelson, P.T. The expression of microRNA miR-107 decreases early in Alzheimer’s disease and may accelerate disease progression through regulation of beta-site amyloid precursor protein-cleaving enzyme 1. J. Neurosci. 2008, 28, 1213–1223.
  21. Nelson, P.T.; Wang, W.X. MiR-107 is reduced in Alzheimer’s disease brain neocortex: Validation study. J. Alzheimers Dis. 2010, 21, 75–79.
  22. Cheng, J.; Wang, G.; Zhang, N.; Li, F.; Shi, L.; Li, H. Isovitexin modulates autophagy in Alzheimer’s disease via miR-107 signalling. Transl. Neurosci. 2020, 11, 391–401.
  23. Zong, Y.; Wang, H.; Dong, W.; Quan, X.; Zhu, H.; Xu, Y.; Huang, L.; Ma, C.; Qin, C. miR-29c regulates BACE1 protein expression. Brain Res. 2011, 1395, 108–115.
  24. Zhu, H.C.; Wang, L.M.; Wang, M.; Song, B.; Tan, S.; Teng, J.F.; Duan, D.X. MicroRNA-195 downregulates Alzheimer’s disease amyloid-beta production by targeting BACE1. Brain Res. Bull. 2012, 88, 596–601.
  25. Fang, M.; Wang, J.; Zhang, X.; Geng, Y.; Hu, Z.; Rudd, J.A.; Ling, S.; Chen, W.; Han, S. The miR-124 regulates the expression of BACE1/beta-secretase correlated with cell death in Alzheimer’s disease. Toxicol. Lett. 2012, 209, 94–105.
  26. Liu, W.; Liu, C.; Zhu, J.; Shu, P.; Yin, B.; Gong, Y.; Qiang, B.; Yuan, J.; Peng, X. MicroRNA-16 targets amyloid precursor protein to potentially modulate Alzheimer’s-associated pathogenesis in SAMP8 mice. Neurobiol. Aging 2012, 33, 522–534.
  27. Liang, C.; Zhu, H.; Xu, Y.; Huang, L.; Ma, C.; Deng, W.; Liu, Y.; Qin, C. MicroRNA-153 negatively regulates the expression of amyloid precursor protein and amyloid precursor-like protein 2. Brain Res. 2012, 1455, 103–113.
  28. Vilardo, E.; Barbato, C.; Ciotti, M.; Cogoni, C.; Ruberti, F. MicroRNA-101 regulates amyloid precursor protein expression in hippocampal neurons. J. Biol. Chem. 2010, 285, 18344–18351.
  29. Kumar, S.; Vijayan, M.; Reddy, P.H. MicroRNA-455-3p as a potential peripheral biomarker for Alzheimer’s disease. Hum. Mol. Genet. 2017, 26, 3808–3822.
  30. Liu, Y.; Wang, L.; Xie, F.; Wang, X.; Hou, Y.; Wang, X.; Liu, J. Overexpression of miR-26a-5p Suppresses tau phosphorylation and abeta accumulation in the Alzheimer’s disease mice by targeting DYRK1A. Curr. Neurovasc. Res. 2020, 17, 241–248.
  31. Wang, D.; Fei, Z.; Luo, S.; Wang, H. MiR-335-5p inhibits beta-amyloid (abeta) accumulation to attenuate cognitive deficits through targeting c-jun-N-terminal kinase 3 in Alzheimer’s disease. Curr. Neurovasc. Res. 2020, 17, 93–101.
  32. Tan, X.; Luo, Y.; Pi, D.; Xia, L.; Li, Z.; Tu, Q. MiR-340 reduces the accumulation of amyloid-beta through targeting BACE1 (beta-site amyloid precursor protein cleaving enzyme 1) in Alzheimer’s disease. Curr. Neurovasc. Res. 2020, 17, 86–92.
  33. Liu, Y.; Zhang, Y.; Liu, P.; Bai, H.; Li, X.; Xiao, J.; Yuan, Q.; Geng, S.; Yin, H.; Zhang, H.; et al. MicroRNA-128 knockout inhibits the development of Alzheimer’s disease by targeting PPARγ in mouse models. Eur. J. Pharmacol. 2019, 843, 134–144.
  34. Miya Shaik, M.; Tamargo, I.A.; Abubakar, M.B.; Kamal, M.A.; Greig, N.H.; Gan, S.H. The role of microRNAs in Alzheimer’s disease and their therapeutic potentials. Genes 2018, 9, 174.
  35. Lebouvier, T.; Scales, T.M.; Williamson, R.; Noble, W.; Duyckaerts, C.; Hanger, D.P.; Reynolds, C.H.; Anderton, B.H.; Derkinderen, P. The microtubule-associated protein tau is also phosphorylated on tyrosine. J. Alzheimers Dis. 2009, 18, 1–9.
  36. Binder, L.I.; Guillozet-Bongaarts, A.L.; Garcia-Sierra, F.; Berry, R.W. Tau, tangles, and Alzheimer’s disease. Biochim. Biophys. Acta 2005, 1739, 216–223.
  37. Wang, L.; Liu, J.; Wang, Q.; Jiang, H.; Zeng, L.; Li, Z.; Liu, R. MicroRNA-200a-3p mediates neuroprotection in Alzheimer-related deficits and attenuates amyloid-beta overproduction and tau hyperphosphorylation via coregulating BACE1 and PRKACB. Front. Pharmacol. 2019, 10, 806.
  38. Mancuso, R.; Agostini, S.; Hernis, A.; Zanzottera, M.; Bianchi, A.; Clerici, M. Circulatory miR-223-3p discriminates between Parkinson’s and Alzheimer’s patients. Sci. Rep. 2019, 9, 9393.
  39. Cha, D.J.; Mengel, D.; Mustapic, M.; Liu, W.; Selkoe, D.J.; Kapogiannis, D.; Galasko, D.; Rissman, R.A.; Bennett, D.A.; Walsh, D.M. miR-212 and miR-132 are downregulated in neurally derived plasma exosomes of Alzheimer’s patients. Front. Neurosci. 2019, 13, 1208.
  40. Wong, H.K.; Veremeyko, T.; Patel, N.; Lemere, C.A.; Walsh, D.M.; Esau, C.; Vanderburg, C.; Krichevsky, A.M. De-repression of FOXO3a death axis by microRNA-132 and -212 causes neuronal apoptosis in Alzheimer’s disease. Hum. Mol. Genet. 2013, 22, 3077–3092.
  41. El Fatimy, R.; Li, S.; Chen, Z.; Mushannen, T.; Gongala, S.; Wei, Z.; Balu, D.T.; Rabinovsky, R.; Cantlon, A.; Elkhal, A.; et al. MicroRNA-132 provides neuroprotection for tauopathies via multiple signaling pathways. Acta Neuropathol. 2018, 136, 537–555.
  42. Deng, Y.; Zhang, J.; Sun, X.; Ma, G.; Luo, G.; Miao, Z.; Song, L. MiR-132 improves the cognitive function of rats with Alzheimer’s disease by inhibiting the MAPK1 signal pathway. Exp. Ther. Med. 2020, 20, 159.
  43. Yuan, J.; Wu, Y.; Li, L.; Liu, C. MicroRNA-425-5p promotes tau phosphorylation and cell apoptosis in Alzheimer’s disease by targeting heat shock protein B8. J. Neural Transm. 2020, 127, 339–346.
  44. Mai, H.; Fan, W.; Wang, Y.; Cai, Y.; Li, X.; Chen, F.; Chen, X.; Yang, J.; Tang, P.; Chen, H.; et al. Intranasal administration of miR-146a agomir rescued the pathological process and cognitive impairment in an AD mouse model. Mol. Ther. Nucleic Acids 2019, 18, 681–695.
  45. Kuchibhotla, K.V.; Goldman, S.T.; Lattarulo, C.R.; Wu, H.-Y.; Hyman, B.T.; Bacskai, B.J. Aβ plaques lead to aberrant regulation of calcium homeostasis in vivo resulting in structural and functional disruption of neuronal networks. Neuron 2008, 59, 214–225.
  46. Kim, G.H.; Kim, J.E.; Rhie, S.J.; Yoon, S. The role of oxidative stress in neurodegenerative diseases. Exp. Neurobiol. 2015, 24, 325–340.
  47. Chen, X.; Guo, C.; Kong, J. Oxidative stress in neurodegenerative diseases. Neural Regen. Res. 2012, 7, 376–385.
  48. Konovalova, J.; Gerasymchuk, D.; Parkkinen, I.; Chmielarz, P.; Domanskyi, A. Interplay between microRNAs and oxidative stress in neurodegenerative diseases. Int. J. Mol. Sci. 2019, 20, 6055.
  49. Jin, Y.; Tu, Q.; Liu, M. MicroRNA-125b regulates Alzheimer’s disease through SphK1 regulation. Mol. Med. Rep. 2018, 18, 2373–2380.
  50. Wu, G.D.; Li, Z.H.; Li, X.; Zheng, T.; Zhang, D.K. MicroRNA-592 blockade inhibits oxidative stress injury in Alzheimer’s disease astrocytes via the KIAA0319-mediated Keap1/Nrf2/ARE signaling pathway. Exp. Neurol. 2020, 324, 113128.
  51. Zhou, C.; Zhao, L.; Zheng, J.; Wang, K.; Deng, H.; Liu, P.; Chen, L.; Mu, H. MicroRNA-144 modulates oxidative stress tolerance in SH-SY5Y cells by regulating nuclear factor erythroid 2-related factor 2-glutathione axis. Neurosci. Lett. 2017, 655, 21–27.
  52. Duan, Q.; Si, E. MicroRNA-25 aggravates Aβ1-42-induced hippocampal neuron injury in Alzheimer’s disease by downregulating KLF2 via the Nrf2 signaling pathway in a mouse model. J. Cell. Biochem. 2019, 120, 15891–15905.
  53. Kim, S.H.; Choi, K.Y.; Park, Y.; McLean, C.; Park, J.; Lee, J.H.; Lee, K.H.; Kim, B.C.; Huh, Y.H.; Lee, K.H.; et al. Enhanced Expression of microRNA-1273g-3p contributes to Alzheimer’s disease pathogenesis by regulating the expression of mitochondrial Genes. Cells 2021, 10, 2697.
  54. Jiang, Y.; Zhang, Y.; Su, L. MiR-539-5p decreases amyloid beta-protein production, hyperphosphorylation of tau and memory impairment by regulating PI3K/Akt/GSK-3beta pathways in APP/PS1 double transgenic mice. Neurotox. Res. 2020, 38, 524–535.
  55. Li, P.; Xu, Y.; Wang, B.; Huang, J.; Li, Q. MiR-34a-5p and miR-125b-5p attenuate abeta-induced neurotoxicity through targeting BACE1. J. Neurol. Sci. 2020, 413, 116793.
  56. Heneka, M.T.; Carson, M.J.; El Khoury, J.; Landreth, G.E.; Brosseron, F.; Feinstein, D.L.; Jacobs, A.H.; Wyss-Coray, T.; Vitorica, J.; Ransohoff, R.M.; et al. Neuroinflammation in Alzheimer’s disease. Lancet Neurol. 2015, 14, 388–405.
  57. Xanthos, D.N.; Sandkuhler, J. Neurogenic neuroinflammation: Inflammatory CNS reactions in response to neuronal activity. Nat. Rev. Neurosci. 2014, 15, 43–53.
  58. Lu, C.E.; Liu, Y.; Sun, B.; Sun, Y.E.; Hou, B.; Zhang, Y.; Ma, Z.; Gu, X. Intrathecal injection of JWH-015 attenuates bone cancer pain via time-dependent modification of pro-inflammatory cytokines expression and astrocytes activity in spinal cord. Inflammation 2015, 38, 1880–1890.
  59. Craft, J.M.; Watterson, D.M.; Van Eldik, L.J. Human amyloid beta-induced neuroinflammation is an early event in neurodegeneration. Glia 2006, 53, 484–490.
  60. Pizza, V.; Agresta, A.; D’Acunto, C.W.; Festa, M.; Capasso, A. Neuroinflamm-aging and neurodegenerative diseases: An overview. CNS Neurol. Disord. Drug Targets 2011, 10, 621–634.
  61. Varnum, M.M.; Ikezu, T. The classification of microglial activation phenotypes on neurodegeneration and regeneration in Alzheimer’s disease brain. Arch. Immunol. Ther. Exp. 2012, 60, 251–266.
  62. Cagnin, A.; Brooks, D.J.; Kennedy, A.M.; Gunn, R.N.; Myers, R.; Turkheimer, F.E.; Jones, T.; Banati, R.B. In-vivo measurement of activated microglia in dementia. Lancet 2001, 358, 461–467.
  63. Fillit, H.; Ding, W.H.; Buee, L.; Kalman, J.; Altstiel, L.; Lawlor, B.; Wolf-Klein, G. Elevated circulating tumor necrosis factor levels in Alzheimer’s disease. Neurosci. Lett. 1991, 129, 318–320.
  64. Tan, M.S.; Yu, J.T.; Jiang, T.; Zhu, X.C.; Tan, L. The NLRP3 inflammasome in Alzheimer’s disease. Mol. Neurobiol. 2013, 48, 875–882.
  65. Tarassishin, L.; Loudig, O.; Bauman, A.; Shafit-Zagardo, B.; Suh, H.S.; Lee, S.C. Interferon regulatory factor 3 inhibits astrocyte inflammatory gene expression through suppression of the proinflammatory miR-155 and miR-155*. Glia 2011, 59, 1911–1922.
  66. Liu, X.; Zhang, Z.; Ruan, J.; Pan, Y.; Magupalli, V.G.; Wu, H.; Lieberman, J. Inflammasome-activated gasdermin D causes pyroptosis by forming membrane pores. Nature 2016, 535, 153–158.
  67. Voet, S.; Srinivasan, S.; Lamkanfi, M.; van Loo, G. Inflammasomes in neuroinflammatory and neurodegenerative diseases. EMBO Mol. Med. 2019, 11, e10248.
  68. Han, C.; Guo, L.; Yang, Y.; Guan, Q.; Shen, H.; Sheng, Y.; Jiao, Q. Mechanism of microRNA-22 in regulating neuroinflammation in Alzheimer’s disease. Brain Behav. 2020, 10, e01627.
  69. Lesage, S.; Brice, A. Parkinson’s disease: From monogenic forms to genetic susceptibility factors. Hum. Mol. Genet. 2009, 18, R48–R59.
  70. Leitão, A.D.G.; Rudolffi-Soto, P.; Chappard, A.; Bhumkar, A.; Lau, D.; Hunter, D.J.B.; Gambin, Y.; Sierecki, E. Selectivity of Lewy body protein interactions along the aggregation pathway of α-synuclein. Commun. Biol. 2021, 4, 1124.
  71. Khezri, M.R.; Yousefi, K.; Zolbanin, N.M.; Ghasemnejad-Berenji, M. MicroRNAs in the pathophysiology of Alzheimer’s disease and Parkinson’s disease: An overview. Mol. Neurobiol. 2022, 59, 1589–1603.
  72. Briggs, C.E.; Wang, Y.; Kong, B.; Woo, T.U.; Iyer, L.K.; Sonntag, K.C. Midbrain dopamine neurons in Parkinson’s disease exhibit a dysregulated miRNA and target-gene network. Brain Res. 2015, 1618, 111–121.
  73. Burré, J. The synaptic function of α-synuclein. J. Park. Dis. 2015, 5, 699–713.
  74. Xu, L.; Pu, J. Alpha-synuclein in Parkinson’s Disease: From pathogenetic dysfunction to potential clinical application. Park. Dis. 2016, 2016, 1720621.
  75. Lashuel, H.A.; Petre, B.M.; Wall, J.; Simon, M.; Nowak, R.J.; Walz, T.; Lansbury, P.T., Jr. Alpha-synuclein, especially the Parkinson’s disease-associated mutants, forms pore-like annular and tubular protofibrils. J. Mol. Biol. 2002, 322, 1089–1102.
  76. Wang, Z.H.; Zhang, J.L.; Duan, Y.L.; Zhang, Q.S.; Li, G.F.; Zheng, D.L. MicroRNA-214 participates in the neuroprotective effect of Resveratrol via inhibiting α-synuclein expression in MPTP-induced Parkinson’s disease mouse. Biomed. Pharmacother. 2015, 74, 252–256.
  77. Sahay, S.; Ghosh, D.; Singh, P.K.; Maji, S.K. Alteration of structure and aggregation of α-synuclein by familial Parkinson’s disease associated mutations. Curr. Protein Pept. Sci. 2017, 18, 656–676.
  78. Yang, Y.; Li, Y.; Yang, H.; Guo, J.; Li, N. Circulating microRNAs and long non-coding RNAs as potential diagnostic biomarkers for Parkinson’s disease. Front. Mol. Neurosci. 2021, 14, 631553.
  79. Nies, Y.H.; Mohamad Najib, N.H.; Lim, W.L.; Kamaruzzaman, M.A.; Yahaya, M.F.; Teoh, S.L. MicroRNA dysregulation in Parkinson’s disease: A Narrative Review. Front. Neurosci. 2021, 15, 660379.
  80. Evans, B.; Furlong, H.A.T.; de Lencastre, A. Parkinson’s disease and microRNAs—Lessons from model organisms and human studies. Exp. Gerontol. 2021, 155, 111585.
  81. Doxakis, E. Post-transcriptional regulation of alpha-synuclein expression by mir-7 and mir-153. J. Biol. Chem. 2010, 285, 12726–12734.
  82. Wu, Y.Y.; Kuo, H.C. Functional roles and networks of non-coding RNAs in the pathogenesis of neurodegenerative diseases. J. Biomed. Sci. 2020, 27, 49.
  83. McMillan, K.J.; Murray, T.K.; Bengoa-Vergniory, N.; Cordero-Llana, O.; Cooper, J.; Buckley, A.; Wade-Martins, R.; Uney, J.B.; O’Neill, M.J.; Wong, L.F.; et al. Loss of microRNA-7 regulation leads to α-synuclein accumulation and dopaminergic neuronal loss in vivo. Mol. Ther. 2017, 25, 2404–2414.
  84. Consales, C.; Cirotti, C.; Filomeni, G.; Panatta, M.; Butera, A.; Merla, C.; Lopresto, V.; Pinto, R.; Marino, C.; Benassi, B. Fifty-hertz magnetic field affects the epigenetic modulation of the miR-34b/c in neuronal cells. Mol. Neurobiol. 2018, 55, 5698–5714.
  85. Tarale, P.; Daiwile, A.P.; Sivanesan, S.; Stöger, R.; Bafana, A.; Naoghare, P.K.; Parmar, D.; Chakrabarti, T.; Krishnamurthi, K. Manganese exposure: Linking down-regulation of miRNA-7 and miRNA-433 with α-synuclein overexpression and risk of idiopathic Parkinson’s disease. Toxicol. In Vitro 2018, 46, 94–101.
  86. Kabaria, S.; Choi, D.C.; Chaudhuri, A.D.; Mouradian, M.M.; Junn, E. Inhibition of miR-34b and miR-34c enhances α-synuclein expression in Parkinson’s disease. FEBS Lett. 2015, 589, 319–325.
  87. Verma, M.; Steer, E.K.; Chu, C.T. ERKed by LRRK2: A cell biological perspective on hereditary and sporadic Parkinson’s disease. Biochim. Biophys. Acta. 2014, 1842, 1273–1281.
  88. Esteves, A.R.; Swerdlow, R.H.; Cardoso, S.M. LRRK2, a puzzling protein: Insights into Parkinson’s disease pathogenesis. Exp. Neurol. 2014, 261, 206–216.
  89. Gehrke, S.; Imai, Y.; Sokol, N.; Lu, B. Pathogenic LRRK2 negatively regulates microRNA-mediated translational repression. Nature 2010, 466, 637–641.
  90. Cho, H.J.; Liu, G.; Jin, S.M.; Parisiadou, L.; Xie, C.; Yu, J.; Sun, L.; Ma, B.; Ding, J.; Vancraenenbroeck, R.; et al. MicroRNA-205 regulates the expression of Parkinson’s disease-related leucine-rich repeat kinase 2 protein. Hum. Mol. Genet. 2013, 22, 608–620.
  91. Wu, Q.; Xi, D.Z.; Wang, Y.H. MicroRNA-599 regulates the development of Parkinson’s disease through mediating LRRK2 expression. Eur. Rev. Med. Pharmacol. Sci. 2019, 23, 724–731.
  92. Ricci, C.; Marzocchi, C.; Battistini, S. MicroRNAs as biomarkers in Amyotrophic lateral sclerosis. Cells 2018, 7, 219.
  93. Henriques, A.; Pitzer, C.; Schneider, A. Neurotrophic growth factors for the treatment of amyotrophic lateral sclerosis: Where do we stand? Front. Neurosci. 2010, 4, 32.
  94. Bucchia, M.; Ramirez, A.; Parente, V.; Simone, C.; Nizzardo, M.; Magri, F.; Dametti, S.; Corti, S. Therapeutic development in Amyotrophic lateral sclerosis. Clin. Ther. 2015, 37, 668–680.
  95. Cloutier, F.; Marrero, A.; O’Connell, C.; Morin, P., Jr. MicroRNAs as potential circulating biomarkers for Amyotrophic lateral sclerosis. J. Mol. Neurosci. 2015, 56, 102–112.
  96. Dardiotis, E.; Aloizou, A.M.; Siokas, V.; Patrinos, G.P.; Deretzi, G.; Mitsias, P.; Aschner, M.; Tsatsakis, A. The role of microRNAs in patients with Amyotrophic lateral sclerosis. J. Mol. Neurosci. 2018, 66, 617–628.
  97. Kovanda, A.; Leonardis, L.; Zidar, J.; Koritnik, B.; Dolenc-Groselj, L.; Ristic Kovacic, S.; Curk, T.; Rogelj, B. Differential expression of microRNAs and other small RNAs in muscle tissue of patients with ALS and healthy age-matched controls. Sci. Rep. 2018, 8, 5609.
  98. Sumitha, R.; Sidhu, R.J.; Sathyaprabha, T.N.; Nalini, A.; Raju, T.R.; Alladi, P.A. Differential expression of microRNA-206 in the gastrocnemius and biceps brachii in response to CSF from sporadic amyotrophic lateral sclerosis patients. J. Neurol. Sci. 2014, 345, 254–256.
  99. Rastegar-Moghaddam, S.H.; Ebrahimzadeh-Bideskan, A.; Shahba, S.; Malvandi, A.M.; Mohammadipour, A. MicroRNA-22: A novel and potent biological therapeutics in neurological disorders. Mol. Neurobiol. 2022, 59, 2694–2701.
  100. Williams, A.H.; Valdez, G.; Moresi, V.; Qi, X.; McAnally, J.; Elliott, J.L.; Bassel-Duby, R.; Sanes, J.R.; Olson, E.N. MicroRNA-206 delays ALS progression and promotes regeneration of neuromuscular synapses in mice. Science 2009, 326, 1549–1554.
  101. Koval, E.D.; Shaner, C.; Zhang, P.; du Maine, X.; Fischer, K.; Tay, J.; Chau, B.N.; Wu, G.F.; Miller, T.M. Method for widespread microRNA-155 inhibition prolongs survival in ALS-model mice. Hum. Mol. Genet. 2013, 22, 4127–4135.
  102. Hawley, Z.C.E.; Campos-Melo, D.; Strong, M.J. MiR-105 and miR-9 regulate the mRNA stability of neuronal intermediate filaments. Implications for the pathogenesis of Amyotrophic lateral sclerosis (ALS). Brain Res. 2019, 1706, 93–100.
  103. Kocerha, J.; Xu, Y.; Prucha, M.S.; Zhao, D.; Chan, A.W. MicroRNA-128a dysregulation in transgenic Huntington’s disease monkeys. Mol. Brain. 2014, 7, 46.
  104. Chu, E.M.; O’Neill, M.; Purkayastha, D.D.; Knight, C. Huntington’s disease: A forensic risk factor in women. J. Clin. Mov. Disord. 2019, 6, 3.
  105. Li, H.L.; Li, X.Y.; Dong, Y.; Zhang, Y.B.; Cheng, H.R.; Gan, S.R.; Liu, Z.J.; Ni, W.; Burgunder, J.M.; Yang, X.W.; et al. Clinical and genetic profiles in chinese patients with Huntington’s Disease: A ten-year multicenter study in china. Aging Dis. 2019, 10, 1003–1011.
  106. Li, Q.; Li, G.; Wu, D.; Lu, H.; Hou, Z.; Ross, C.A.; Yang, Y.; Zhang, J.; Duan, W. Resting-state functional MRI reveals altered brain connectivity and its correlation with motor dysfunction in a mouse model of Huntington’s disease. Sci Rep. 2017, 7, 16742.
  107. Lim, S.A.O.; Surmeier, D.J. Enhanced GABAergic inhibition of cholinergic interneurons in the zQ175(+/-) mouse model of Huntington’s Disease. Front Syst. Neurosci. 2020, 14, 626412.
  108. Shin, H.; Kim, M.H.; Lee, S.J.; Lee, K.H.; Kim, M.J.; Kim, J.S.; Cho, J.W. Decreased metabolism in the cerebral cortex in early-stage Huntington’s disease: A possible biomarker of disease progression? J. Clin. Neurol. 2013, 9, 21–25.
  109. Gil, J.M.; Rego, A.C. Mechanisms of neurodegeneration in Huntington’s disease. Eur. J. Neurosci. 2008, 27, 2803–2820.
  110. Teixeira, A.L.; de Souza, L.C.; Rocha, N.P.; Furr-Stimming, E.; Lauterbach, E.C. Revisiting the neuropsychiatry of Huntington’s disease. Dement Neuropsychol. 2016, 10, 261–266.
  111. Solberg, O.K.; Filkukova, P.; Frich, J.C.; Feragen, K.J.B. Age at death and causes of death in patients with Huntington disease in norway in 1986-2015. J. Huntingtons. Dis. 2018, 7, 77–86.
  112. Kachian, Z.R.; Cohen-Zimerman, S.; Bega, D.; Gordon, B.; Grafman, J. Suicidal ideation and behavior in Huntington’s disease: Systematic review and recommendations. J. Affect. Disord. 2019, 250, 319–329.
  113. Hoss, A.G.; Lagomarsino, V.N.; Frank, S.; Hadzi, T.C.; Myers, R.H.; Latourelle, J.C. Study of plasma-derived miRNAs mimic differences in Huntington’s disease brain. Mov. Disord. 2015, 30, 1961–1964.
  114. Reed, E.R.; Latourelle, J.C.; Bockholt, J.H.; Bregu, J.; Smock, J.; Paulsen, J.S.; Myers, R.H.; PREDICT-HD CSF Ancillary Study Investigators. MicroRNAs in CSF as prodromal biomarkers for Huntington disease in the PREDICT-HD study. Neurology 2018, 90, e264–e272.
  115. Shah, R.; Lee, S.C.; Strasser, R.B.; Grossman, C. An Australian neuro-palliative perspective on Huntington’s disease: A case report. BMC Palliat Care 2021, 20, 53.
  116. Carbo, M.; Brandi, V.; Pascarella, G.; Staid, D.S.; Colotti, G.; Polticelli, F.; Ilari, A.; Morea, V. Bioinformatics analysis of ras homologue enriched in the striatum, a potential target for Huntington’s disease therapy. Int. J. Mol. Med. 2019, 44, 2223–2233.
  117. Hu, J.; Liu, J.; Yu, D.; Aiba, Y.; Lee, S.; Pendergraff, H.; Boubaker, J.; Artates, J.W.; Lagier-Tourenne, C.; Lima, W.F.; et al. Exploring the effect of sequence length and composition on allele-selective inhibition of human huntingtin expression by single-stranded silencing RNAs. Nucleic Acid. Ther. 2014, 24, 199–209.
  118. Hoss, A.G.; Kartha, V.K.; Dong, X.; Latourelle, J.C.; Dumitriu, A.; Hadzi, T.C.; Macdonald, M.E.; Gusella, J.F.; Akbarian, S.; Chen, J.F.; et al. MicroRNAs located in the Hox gene clusters are implicated in Huntington’s disease pathogenesis. PLoS Genet. 2014, 10, e1004188.
  119. Martí, E.; Pantano, L.; Bañez-Coronel, M.; Llorens, F.; Miñones-Moyano, E.; Porta, S.; Sumoy, L.; Ferrer, I.; Estivill, X. A myriad of miRNA variants in control and Huntington’s disease brain regions detected by massively parallel sequencing. Nucleic Acids Res. 2010, 38, 7219–7235.
  120. Chang, K.H.; Wu, Y.R.; Chen, C.M. Down-regulation of miR-9* in the peripheral leukocytes of Huntington’s disease patients. Orphanet J. Rare Dis. 2017, 12, 185.
  121. Kumar, S.; Vijayan, M.; Bhatti, J.S.; Reddy, P.H. MicroRNAs as peripheral biomarkers in aging and age-related diseases. Prog. Mol. Biol. Transl. Sci. 2017, 146, 47–94.
  122. Viswambharan, V.; Thanseem, I.; Vasu, M.M.; Poovathinal, S.A.; Anitha, A. miRNAs as biomarkers of neurodegenerative disorders. Biomark. Med. 2017, 11, 151–167.
  123. Reynolds, R.H.; Petersen, M.H.; Willert, C.W.; Heinrich, M.; Nymann, N.; Dall, M.; Treebak, J.T.; Bjorkqvist, M.; Silahtaroglu, A.; Hasholt, L.; et al. Perturbations in the p53/miR-34a/SIRT1 pathway in the R6/2 Huntington’s disease model. Mol. Cell. Neurosci. 2018, 88, 118–129.
  124. Soldati, C.; Bithell, A.; Johnston, C.; Wong, K.Y.; Stanton, L.W.; Buckley, N.J. Dysregulation of REST-regulated coding and non-coding RNAs in a cellular model of Huntington’s disease. J. Neurochem. 2013, 124, 418–430.
  125. Johnson, R.; Zuccato, C.; Belyaev, N.D.; Guest, D.J.; Cattaneo, E.; Buckley, N.J. A microRNA-based gene dysregulation pathway in Huntington’s disease. Neurobiol. Dis. 2008, 29, 438–445.
  126. Packer, A.N.; Xing, Y.; Harper, S.Q.; Jones, L.; Davidson, B.L. The bifunctional microRNA miR-9/miR-9* regulates REST and CoREST and is downregulated in Huntington’s disease. J. Neurosci. 2008, 28, 14341–14346.
  127. Johnson, R.; Buckley, N.J. Gene dysregulation in Huntington’s disease: REST, microRNAs and beyond. Neuromol. Med. 2009, 11, 183–199.
More
Information
Subjects: Biology
Contributors MDPI registered users' name will be linked to their SciProfiles pages. To register with us, please refer to https://encyclopedia.pub/register : , , , , ,
View Times: 672
Revisions: 4 times (View History)
Update Date: 13 Dec 2022
1000/1000
Video Production Service