The role of microRNAs in neurodegenerative diseases: a review

Abstract

MicroRNAs (miRNAs) are non-coding RNAs which are essential post-transcriptional gene regulators in various neuronal degenerative diseases and playact a key role in these physiological progresses. Neurodegenerative diseases, such as Alzheimer’s disease, Parkinson’s disease, Huntington’s disease, multiple sclerosis, and, stroke, are seriously threats to the life and health of all human health and life kind. Recently, various studies have reported that some various miRNAs can regulate the development of neurodegenerative diseases as well as act as biomarkers to predict these neuronal diseases conditions. Endogenic miRNAs such as miR-9, the miR-29 family, miR-15, and the miR-34 family are generally dysregulated in animal and cell models. They are involved in regulating the physiological and biochemical processes in the nervous system by targeting regulating different molecular targets and influencing a variety of pathways. Additionally, exogenous miRNAs derived from homologous plants and defined as botanmin, such as miR2911 and miR168, can be taken up and transferred by other species to be and then act analogously to endogenic miRNAs to regulate the physiological and biochemical processes. This review summarizes the mechanism and principle of miRNAs in the treatment of some neurodegenerative diseases, as well as discusses several types of miRNAs which were the most commonly reported in diseases. These miRNAs could serve as a study provided some potential biomarkers in neurodegenerative diseases might be an ideal and/or therapeutic targets for neurodegenerative diseases. Finally, the role accounted of the prospective exogenous miRNAs involved in mammalian diseases is described.

Graphical abstract

1. Listing a large number of neural-related miRNAs and sorting out their pathways.

2. Classify and sort miRNAs according to their mechanism of action.

3. Demonstrating the effects of up-regulation or down-regulation of each miRNAs on the nervous system.

Introduction

MicroRNAs (miRNAs) are non-coding single-stranded chain RNA molecules with 21 to 25 nucleotides. They play an indispensable and irreplaceable role in regulating all events such as timing development, cell proliferation, asymmetric development, dendritic ridge development, early embryonic development, tumor development, stem cell differentiation, and antiviral effects. Meanwhile, microRNAs also play an important role in pathogenic mechanisms, such as oxidative stress (Cabezas et al. 2019). When free radicals are produced excessively and cannot be cleared in time, they will cause oxidative damage to nervous tissues (Abrahams et al. 2019). In 1998, Fire and his team (Fire et al. 1998) demonstrated that purified double-stranded RNAs can efficiently and specifically block the expression of target genes, a phenomenon called RNA interference. By 1999, Baulcombe (Hamilton and Baulcombe 1999) had shown that the miRNA let-7miRNA family was also involved in plant gene silencing, and proved that miRNAs are widely distributed in various animal cells. Moreover, miR-31 is believed to be a target of BCL6 and is also thought to reduce cell damage by inhibiting polycystin 1 (PKD1) expression. Inhibition of BCL6 mitigated oxidative stress–induced neuronal injury by targeting the miR-31/PKD1 axis (Wei et al. 2021). Mitochondrial malfunction can lead to promote oxidative stress, which can then lead to neuronal death and neurodegenerative disorders. miR-142a-5p induces mitochondrial dysfunction, mitochondrial autophagy, and apoptosis by targeting mitofusin-1 and can serve as an important regulator of denervation-induced skeletal muscle atrophy (Yang et al. 2020). Based on the extensive body of miRNA research, so far, the related researchers have established theories regarding the roles of miRNAs, and these related researches have been gradually carried out. Furthermore, as an authoritative database of miR-genes, miRBase serves as an authoritative database that has made it more convenient for us researchers to study various miRNA genes (Griffiths-Jones et al. 2006). With the deepening of miRNAs research, the role of miRNAs in neurodegenerative diseases has been explored (Mohr and Mott 2015). Although these studies have provided several available miRNAs as biomarkers in neurodegenerative disease, the detailed function as well as the potential regulatory mechanism of miRNAs that contribute to the pathogenesis of neurodegenerative diseases still remains unclear.

Neurodegenerative diseases would tend to worsen over time and are seriously a threat to human health. According to the World Health Organization, neurodegenerative diseases are likely to overtake cancer as the world’s second leading cause of death by 2040. Because the human nervous system is almost non-regenerative, the progression of the disease is irreversible (Alzheimer's 2016; Heemels 2016). According to previous research, inflammation has been linked to the pathophysiology of neurodegenerative disorders (Marogianni et al. 2020). When harmful substances are stimulated over a long period and become uncontrollable, the innate immune system can cause damage to the brain (Fakhoury 2016; Milo et al. 2020). Macrophage polarization comprises both M1 and M2 phenotypes, and it plays a crucial role in cell proliferation and the advancement of inflammatory disorders like cancer and multiple sclerosis. miR-9, miR-125b, miR-127, and miR-155 have been found to promote M1 polarization, while miR-124, miR-125a-5p, miR-223, miR-146a, miR-34a, miR-132, and let-7c have been demonstrated to generate promote M2 polarization in macrophages by targeting numerous transcription factors and signal transduction proteins. Inflammation-related disorders may benefit from miRNAs that affect macrophage polarization (Essandoh et al. 2016). Metabolic disorders also contribute to the disease. The accumulation of amyloid beta (Aβ) outside nerve cells to produce amyloid (senile) plaques to create senile plaques is a hallmark of AD, also known as amyloid plaques (O'Brien and Wong 2011; Qiang et al. 2017). The root cause of this protein disease and its associated neurodegeneration is a metabolic disorder (Haass and Selkoe 2007). Furthermore, different altered neurotransmitter metabolisms are also related to AD and its associated neurodegeneration (Li et al. 2020). Reduction of miR-96-5p in AD models decreases the Aβ42/Aβ40 ratios by upregulating the production of ATP binding cassette subfamily A member 1, implying that miR-96-5p is vital in managing the parts of Aβ production (M. Zhu et al. 2021a, b).

Excitatory toxins such as glutamate can also lead to neurodegenerative diseases (Beal 1992; Ikonomidou and Turski 1996). Glutamate toxicity occurs when the quantity of glutamate in the intercellular space is excessive high, resulting in neuronal degeneration, senescence, and even death (Meldrum 2000; Rajendra et al. 2004). miR-223, which is secreted by exosomes, targets glutamate receptors. The changes in miR-223 levels in the orbitofrontal cortex are positively correlated with inflammation, but negatively associated with GABAergic gene expression (Amoah et al. 2020). miR-124, through the Akt and mammalian target of rapamycin (mTOR) signaling pathways, upregulates the astrocytic glutamate transporter-1, which is the major mechanism that prevents extracellular glutamate overaccumulation in the central nervous system (CNS) after ischemic stroke. miR-124 upregulation can minimize the infarct size and increase neurological function recovery after ischemic stroke (W. Y. Huang et al. 2019a, b). Therefore, it seems to be critical to study the molecular mechanism and function of miRNAs involved in the neurodegenerative diseases.

In the current review, we briefly introduce and classify RNAs, focus on the mechanism and principle of miRNAs in the treatment of some neurodegenerative diseases, and summarize several types of miRNAs that are most effective in the treatment of diseases as well as the mechanisms and pathways worthy of further study. In summary, there is not only one mechanism leading to neurodegenerative diseases, but usually a common result of the action of multiple pathogenic principles and mechanisms contributes to a disease (Calin and Croce 2006; Jay et al. 2007; Lu et al. 2005). Thus, this study provided discusses the therapeutic potential of miRNA-mediated neurodegenerative diseases and biomarkers by analyzing and classifying the relationship between miRNAs and neurodegenerative diseases.

Small non-coding RNA

Non-coding RNAs are separately divided into long NC non-coding RNAs and small NC non-coding RNAs, moreover which are separated into miRNAs, small interfering RNAs (siRNAs), small nuclear RNAs (snRNAs), and Piwi-interacting RNAs (pi-RNAs) (Panni et al. 2020). They play an irreplaceable indispensable role in regulating all events such as timing development, cell proliferation, asymmetric development, dendritic ridge development, early embryonic development, tumor development, stem cell differentiation, and the antiviral responses (Higgs and Lehman 2015; Mattick and Makunin 2006; Re et al. 2014). To be more specific, siRNA is a two-stranded small interfering RNA. It is often involved in RNA interference, which regulates gene expression in a specific way (Kanasty et al. 2013; Nikam and Gore 2018). siRNA is often associated with the treatment of cancer diseases. As technology has progressed, some targeted drugs mediated by siRNA play an increasingly important role in the treatment of cancer (Jain et al. 2018; Kanasty et al. 2013; Nikam and Gore 2018). And snRNA is another small non-coding RNA distributed in the nucleoli of eukaryotic cells with conserved structural elements. snRNA does not exist in a free form; but rather, it binds to a protein to form a complex, a small ribonucleic protein particle (Kandels-Lewis and Seraphin 1993). The protein portion of snRNA has nuclease and ligase activity that clears transcription at the intron–exon junction and joins the two free ends (Chen and Wagner 2010; Lardelli and Lykke-Andersen 2020). Nuclear pre-snRNA exportation is a critical quality control mechanism for functional spliceosomes and is involved in RNA processing (Becker et al. 2019). pi-RNA also is a class of RNA that interacts with the Piwi protein, which is commonly found in germline stem cells (Blom-Dahl and Azpiazu 2018). It shows a distinctive localization type in the genome and plays an important role in the maintenance of stem cell function, gamete formation, and silencing of foreign transposons (Czech et al. 2018). Moreover, a new role for the piRNA/Piwi complex in cancer has been discovered (Y. Liu et al. 2019a, b).

Last but not least, in plants and animals, miRNAs are non-coding single-stranded RNA molecules with a length of about 22 nucleotides that are encoded by endogenous genes and are implicated in the control of post-transcriptional expression of genes (Bushati and Cohen 2007). This kind of miRNA forms a double-stranded complex with target messenger RNA (mRNA) or DNA through the complementary pairing of base pairings; this binding affects the modification, translation, transcription, and other processes of RNA, and blocks or inhibits the normal expression of genes (Ambros 2004; Cai et al. 2009). So far, hundreds of identical miRNAs have been found in different species, but some miRNAs differ significantly in expression levels in different tissues and at different developmental stages (Kozomara et al. 2019). Some miRNAs show strictly controlled differential spatial and temporal expression patterns and present a more rigorous one (Fabian and Sonenberg 2012; Rupaimoole and Slack 2017).

There are some microRNA genes in the organism, which generate pri-miRNA under the action of reverse transcriptase RNA POL II (polymerase II). The complementary regions of the molecule are combined in a rod-shaped structure, while the non-complementary regions are organized in a ring or chain structure. Under the action of the Drosha enzyme, the hairpin structure in pri-miRNA is cut out and pre-miRNA is generated. Under the action of HEN1, a (methyl transferase) protein, a methyl group is added to the 3′end of the double-stranded chain structure with a methyl group to avoid the degradation of the double-stranded chain structure, and miRNA–miRNA duplex molecules are generated. At this point, the molecule enters the cytoplasm from the nucleus, and the double strand is dissociated. One strand is degraded, and the other single strand becomes a mature miRNA, which is combined with an Argonaute protein to form the RNA-induced silencing complex (RISC) to regulate the transcription of the corresponding target gene (Fig. 1) (Cai et al. 2009; Kim 2005; Krol et al. 2010; Murchison and Hannon 2004).

Fig. 1.

miRNA biogenesis

Role of miRNAs

In nature, miRNAs are widely believed to exert their biological functions by forming an incorrect pairing with partial binding to the target mRNA’s 3′-untranslated region of target mRNAs, preventing the mRNA from being translated into the target protein, resulting in the degradation of the mRNA or reduction of its stability (Bartel 2004; Lewis et al. 2005). It is called post-transcriptional gene silencing (PTGS) which is the process by which microRNAs target bind with full complementary to mRNAs, leading to the cleavage and degradation of the target microRNAs. PTGS is effective only when the mRNA transcript is cleaved or degraded by RISC (Cogoni and Macino 2000; Sijen and Kooter 2000). microRNAs have multiple modes of action playing a biological role. The first PTGS is common in plants, where microRNAs can bind to target gene mRNAs in a completely and full complementary manner, acting similarly to siRNAs, and eventually leading to cleavage of the target mRNAs (Hamilton and Baulcombe 1999; Wassenegger and Pelissier 1998; Zhang et al. 2018). In animals, however, microRNAs are usually only partially complementary to target gene mRNAs when acting. When they bind, thus they prevent translation but without affecting the stability of the mRNAs (Kim et al. 2008). The third mode has both. Finally, miRNAs can combine both of the abovementioned modes of action, binding with full complementary to degrade mRNAs or binding with partial complementary to block translation. When microRNAs and target genes are fully complementary, they can directly target to cut the mRNA; when miRNAs and target genes are not complementary totally, the target gene’s translation is blocked (Correia de Sousa et al. 2019).

The role of miRNAs in nervous system development

miRNAs are required for neural stem cells and neural progenitor cells to develop. For example, miR-9 and miR-124 highly expressed in the brain are both affluent. In neural progenitor cells and neural stem cells, overexpression of miR-124 overexpression promotes neurogenesis by inhibiting the Toll-like receptor 4 pathway. Meanwhile, miR-124 can target the Tal1 axis and promote neuronal proliferation, and can also activate microglia by targeting vesicle-associated membrane protein 3. And miR-9 accelerates the differentiation process and increases glial and neuronal differentiation by targeting the nuclear receptor TLX. The maturation of neurons, the growth of neurites, and the occurrence of synapses integrate the functions of the CNS and jointly regulate the complex behavior of the body. Meanwhile, miRNA plays a critical role in all of these processes. For example, miR-132/miR-212 clusters are involved in dendritic growth and dendritic spine formation. And miR-134, which is specifically expressed in the brain, targets LIM kinase 1, thus inhibiting the growth of dendritic spines and increasing the synaptic excitatory area. The dicer enzyme is indispensable in the synthesis of miRNA synthesis (Song and Rossi 2017). When certain brain regions are knocked out and the Dicer enzyme is removed, miRNAs cannot be formed, which will eventually lead to the occurrence of neurodegenerative diseases (Chmielarz et al. 2017). For example, it would occur cerebellar degeneration and ataxia, when Dicer is knocked out by Pcp2 promoter–Cre recombinase in differentiated mature Purkinje cells (Schaefer et al. 2007), which may be related to the downregulation of miRNAs targeting spinal cerebellar ataxin 1, such as miR-130, miR-9, and miR-101 (Lee et al. 2008). As several factors influence the level of miRNA expression levels, such as transcription, maturation, and degradation, miRNAs play a role in various aspects of brain tissue growth and development (Diaz et al. 2014).

The expression level of miRNA expression is regulated by a fine regulatory mechanism to ensure that it is upregulated or downregulated at specific periods of biological development (J. Wang et al. 2020a, b). miRNA expression in the CNS is transient and regional (Bak et al. 2008). Many miRNAs expressed in the brain occur only during development, and the expression of some miRNAs varies with cell proliferation, regional differentiation, and pathway establishment during cortical formation (Shu et al. 2019). For example, in experiments to study the development of the mouse cortex, researchers found that miR-19b is expressed before birth; miR-128 is expressed after birth; and the expressions of miR-178, miR-125b, miR-9, and miR-131 reached their peak expression on embryonic day 21 of the embryonic stage, while miR-124a and miR-266 expressions increase during the embryonic stage development and remain in a stable state after birth, and miR-103 expression increases over time (Sempere et al. 2004).

The CNS of an embryo grows sequentially and spatially (de Lahunta et al. 2016). miRNAs may be involved in the regulation of temporal and spatial growth patterns of the embryonic CNS (Braoudaki and Lambrou 2015). For example, the Hox gene is involved in the anterior and posterior growth modes of brain tissue, and Hox gene expression is regulated by miRNAs in the Hox gene cluster, which controls the anterior and posterior growth modes of brain tissue (Mallo and Alonso 2013; Pearson et al. 2005).

The role of miRNAs in AD

Neurodegenerative diseases are complex and progressive, diseases that progress and eventually lead to death. Many researchers have discovered that miRNAs are involved in the development and plasticity of the nervous system, as well as the occurrence and progression of neurodegenerative disorders (Quinlan et al. 2017). Aβ deposition is one of the main pathological symptoms of AD; these deposits consist of insoluble protein inclusions and plaques including Aβ42 and Aβ40 in AD. Numerous studies indicated that the Aβ could be a potential and effective biomarker to be used as a diagnostic strategy biomarker for AD. Meanwhile, tau is the major physiological protein which stabilizes microtubules in neuronal axons. Neuro axial degeneration could lead to increased release of tau from neurons in AD. Subsequently, dysfunctional tau assembles into the neurofibrillary tangles of the proximal axoplasm. Therefore, increased phosphorylated tau (p-tau181, p-tau217, and p-tau231) in the axoplasm and cerebrospinal fluid such as P-Tau181, 217, and 231 could be regarded as AD biomarkers (Quinlan et al. 2017). Neuro-inflammation, such as chronic inflammation and microglia, is also an important biomarker in AD disease. Many numbers of genes were are highly expressed in AD including sialic acid binding Ig-like lectin 3 (CD33), ephrin type-A receptor 1 (EPHA1), membrane-spanning 4-domains (MS4), triggering receptor expressed on myeloid cells 2 (TREM2), and ATP-binding cassette sub-family A member 7 (ABCA7) showed in Fig. 2. miRNAs involved in AD diseases have been demonstrated that it could regulate gene expression by binding to mRNA, either blocking its translation or leading to its degradation, or blocking to protein synthesis or leading to the degradation of targeted mRNA as well as the above biomarkers. Moreover, in encapsulation of the given stability of miRNAs due to its stability in body fluids, as well as regulation ability provided, researchers have speculated that they could possibly serve as biomarkers in AD (Sonntag 2010). Abundant expression dysregulation of microRNAs and their maladjustment could eventually lead to a variety of neurodegenerative diseases (Sonntag 2010). Herein, Table 1 and Fig. 2 present the role of miRNAs involved in the course of AD that affects processes critical to the processes for AD development and progression, including tau phosphorylation, Aβ metabolism, neuro-inflammation, and amyloid precursor protein (APP) production which were exhibited in the current study (Table 1 and Fig. 2).

Fig. 2.

The molecular mechanism of miRNAs on the pathology of AD.

Reproduced with permission from reference (Klyucherev et al. 2022). Copyright 2022 BMC Online Library

Table 1.

The relationship between different miRNAs and neurodegenerative diseases

Article no	Mature miRNAs	Disease	Target	Pathways	Cells/mouse model	Reference
1	miR-15b	AD	BACE1/NF-κB	miR-15b↑ → APP and Aβ ↓ → AD ( −)	SH-SY5Y cell	Li and Wang (2018)
2	miR-15b-5p	AD	APP	miR-15b-5p↑ → APP and Aβ ↓ → AD ( −)	swAPP695-HEK293 cell	H. Y. Liu et al. (2019a, b)
3	miR-29c	AD	BACE1	miR-29c ↓ → PKA/CREB ↑ → AD ( +)	SAMP8 mice	Yang et al. (2015)
4	miR-31	AD	APP/BACE1	miR-31↑ → Aβ ↓ → AD ( −)	3xTg-AD mice	Barros-Viegas et al. (2020)
5	miR-9	Ischemic stroke	HDAC4	miR-9 ↑ → HDAC4 ↓  → Ischemic stroke ( −)	SH-SY5Y cell	Nampoothiri and Rajanikant (2019)
6	miR-200a-3p	AD	BACE1 and PRKACB	MiR-200a-3p↑ → Aβ Overproduction and Tau Hyperphosphorylation ↓ → AD ( −)	SAMP8 mice	Wang et al. (2019)
7	miR-338-5p	AD	BACE1/NF-κB	miR-338-5p ↓ → Aβ ↓  → AD ( −)	5XFAD transgenic (TG) mice	Qian et al. (2019)
8	miR-101	AD/MCI	APP/RanBP9/Rab5	miR-101↓ → AMPK Hyperphosphorylation ↑ → AD/MCI ( +)	pLSyn-miR-101 sponge mice	Barbato et al. (2020)
9	miR-101a	AD	MAPK	miR-101a ↑ → protein LC3 and beclin-1 ↓ → AD ( −)	SH-SY5Y cells、APPswe/PS1ΔE9 transgenic mice	Q. Li, Y. Wang et al. (2019)
10	miR-101b	AD	HDAC2/HNF-4A/AMPK	miR-101b ↑ → HDAC2 ↓ → AD ( −)	AD mice	D. Liu et al. (2017a, b)
11	miR-106b	AD	Fyn	miR-106 b ↑ → tau phosphorylation at Tyr18 ↓ → AD ( −)	SH-SY5Y cells	Liu et al. (2016)
12	miR-132	AD/HD	BBB	miR-132 ↑ → VE-cadherin/β-Catenin ↑ → AD/HD ( −)	MCAO mice	Zuo et al. (2019)
13	miR-132	AD/HD	C1q	miR-132 ↑ → C1q ↓ → AD/HD ( −)	APP/PS1 transgenic mice	N. Xu et al. (2019a, b)
14	miR-212/132	AD	NOS1	miR212 ↓ → SNO-GAPDH/SNO-Drp1/SNO-Cdk5 ↑ → AD ( +)	human neural cells	Y. Wang et al. (2017a, b)
15	miR-142	MS	SOCS1/TGFBR1	miR-142 ↑ → SOCS1/TGFBR1 ↓ → MS ( +)	EAE mice	Talebi et al. (2017)
16	miR-146	AD	NF-κB	miR-146 ↑ → IL-1/TNF ↓ → AD ( +)	THP-1/U937/HL-60/WEHI-3 cell	Taganov et al. (2006)
17	miR-146a	AD	TRAF6/NF-κB	miR-146a ↑ → p62/Beclin1 ↑ → AD ( +)	HT-22 cells/C8-B4 cells/bEnd.3 cells	Fang et al. (2014); Kim et al. (2021)
18	miR-146a	AD	IRAK-1	miR-146a ↑ → IRAK-1 ↓ → AD ( +)	HAG cells	Cui et al. (2010)
19	miR-155	MS/EAE/ALS	IL-6/IL-1/TNF	miR-155 ↓ → IL-6/IL-1/TNF ↓ → MS/EAE/ALS ( −)	SOD1 mice	Butovsky et al. (2015)
20	miR-211	MACO/I/R	PUMA	miR-211 ↑ → PUMA↓ → MACO/I/R ( −)	PC12 cell/MCAO mice	Liu et al. (2020)
21	miR-455-5p	I/R	FLT3	miR-455 ↑ → FLT3 ↓ → I/R ( −)	I/R mice	Chen et al. (2020)
22	miR-21	AD	PDCD4/PI3K/AKT/GSK-3β	miR-21 ↑ → PI3K/Akt/GSK3β↓ → AD ( −)	SH-SY5Y cells	Feng et al. (2018)
23	miR-124-3p	AD	PI3K/AKT/GSK-3β	miR-21 ↑ → Caveolin-1-PI3K/Akt/GSK3β↓ → AD ( −)	N2a/APP695swe cells	Kang et al. (2017)
25	miR-124	AD	RFX1	miR-124 ↓ → RFX1 ↑ → ApoE ↓ → AD ( −)	BV2 microglia cell	Feng et al. (2017)
26	miR-124	AD	Delta in Notch Signaling Pathway	miR-124 ↑ → Delta ↓ → AD ( −)	AD flies	Kong et al. (2015)
27	miR-34a	AMD	TREM2	miR-34a ↑ → TREM2 ↓ → AMD ( +)	C8B4 microglial (MG) Cells	Bhattacharjee et al. (2016)
28	miR-34a	AD	Caspase-2	miR-34a ↑ → Caspase-2 ↓ → AD ( +)	SH-SY5Y cells	Q. Li, T. Liu et al. (2019a, b)
29	miR-22	I/R	PUMA	miR-22 ↑ → PUMA↑ → I/R ( −)	PC12 cells	Jiao et al. (2020)
30	miR-29a	AD	Wnt1/CREB	miR-29a ↑ → inflammatory cytokines ↓ → AD ( −)	PBMCs	Sedighi et al. (2019)
31	miR-107	AD	PDCD10	miR-107 ↑ → PDCD10 ↓ → AD ( −)	the mouse model insulted by 6-OHDA	Sun et al. (2020)
32	miR-933	AD	27-OHC	miR-933 ↑ → 27-OHC↑ → inflammatory cytokines ↑ → AD ( +)	HMVEC	Dias et al. (2018)
33	miR-200b/c	AD	S6K1	miR-200b/c ↑ → IRS-1pSer ↓ → AD ( −)	Tg2576 transgenic mice	Higaki et al. (2018)
34	miR-142-5p	AD	sGC/sGMP	miR-142-5p ↑ → sGC/sGMP ↓ → AD ( −)	SH-SY5Y cells	H. Xu et al. (2019a, b)
35	miR-30b	PD	SNCA	miR-30b ↑ → Bax/Bcl-2 ↓ → PD ( −)	SH-SY5Y cells	Shen et al. (2020)
36	miR-148b-3p	neuroinflammation	PIK3CA/Akt/NF-κB	miR-148b-3p ⬆ → PI3K/pAKt ↓ → neuroinflammation ( −)	Sprague Dawley rats	M. Wang et al. (2020a, b)
37	miR-34c	AD	SYT1	miR-34c ↑ → ROS‐JNK‐p53 ↑ → AD ( −)	SAMP8 mice	Shi et al. (2020)
38	miR-125b	AD	GluN2A	miR-125b ↑ → GluN2A ↓ → AD (−	AD mice	Tang et al. (2019)
39	miR-125b	AD	DUSP6/PPP1CA/Bcl-W	miR-125b ↑ → Bcl-W/DUSP6/PPP1CA↓ → Tau Hyperphosphorylation ↑ → AD ( +)	AD mice	Banzhaf-Strathmann et al. (2014)
40	miR-142-5p	AD	Aβ42	miR-142-5p ↑ → PSD-95 ↓ → AD ( +)	SH-SY5Y cells	Song and Kim (2017)
41	miR-6845-3p	AD	Aβ25-35	miR-6845-3p ↓ → Aβ25-35 ↓ → AD ( −)	SH-SY5Y cells	Hu et al. (2018)
42	miR-26b	AD	Rb1	miR-26b ↑ → p27/Kip1↓ → Cdk5 ↑ → Tau Hyperphosphorylation ↑ → AD ( +)	E18 Sprague Dawley rat	Absalon et al. (2013)
43	miR-138	AD	RARA	miR-138 ↑ → RARA/GSK-3β↑ → Tau Hyperphosphorylation ↑ → AD ( +)	HEK293/tau cells	X. Wang et al. (2015a, b)
44	miR-922	AD	UCHL1	miR-922 ↑ → UCHL1 ↓ → Tau Hyperphosphorylation ↑ → AD ( +)	AD mice	Zhao et al. (2014)
45	miR-96	VaD/AD	mTOR	miR-96 ↑ → mTOR ↓ → VaD/AD ( +)	CCH rat	Liu et al. (2018)
46	miR-10a	AD	BDNF-TrkB	miR-10a ↑ → BDNF-TrkB ↓ → AD ( +)	AD rat	Wu et al. (2018)
48	miR-206-3p	AD	BDNF	miR-206-3p ↑ → BDNF ↓ → AD ( +)	APP/PS1 mice	C. N. Wang et al. (2017a, b)
49	miR-140-5p	AD	ADAM10	miR-104-5p ↑ → ADAM10 ↓ → AD ( +)	SHSY5Y/CHP212 cells	Akhter et al. (2018)
50	miR-937	AD	BDNF	miR-937 ↑ → Brn-4 ↑ → Aβ↓ → AD ( −)	AD mice	Liu et al. (2015)
51	miR-144	AD	NRF2/GSH	miR-144 ↑ → NRF2/GSH ↓ → AD ( +)	SHSY5Y cells	Zhou et al. (2017)
52	miR-433	PD	FGF20	miR-433 ↓ → FGF20 ↑ → alpha-synuclein↑ → PD ( +)	DCHG	G. Wang et al. (2008a, b)
53	miR-7/miR-153	PD	α-syn	miR-7/miR-153↑ → α-syn ↓ → PD ( +)	Primary neuron cells	Doxakis (2010); Zhu, Wang, Qi et al. (2018)
54	miR-205	PD	LRRK2	miR-205↑ → LRRK2 ↓ → PD ( +)	G2019S (Y1699C mutation cells	Cho et al. (2013)
55	miR-599	PD	LRRK2	miR-599↑ → LRRK2 ↓ → PD ( +)	SH-SY5Y cells	Wu et al. (2019)
56	miR-29c	PD	PTEN	miR-29c↑ → PTEN ↓ → PD ( +)	PC12 cells	Zou et al. (2015)
57	miR-21	PD	α-syn	miR-21↑ → α-syn ↑ → PD ( −)	SH-SY5Y cells	Su et al. (2016)
58	miR-181b	PD	PTEN	miR-181b↑ → PTEN ↓ → PD ( +)	PC12 cells	W. Li et al. (2018a, b)
59	miR-221	PD	PI3K/AKT	miR-221↑ → PI3K/AKT ↑ → PD ( +)	Rats	Salama et al. (2020)
60	miR-100	PD	PI3K/AKT	miR-100↑ → PI3K/AKT ↑ → PD ( +)	SH-SY5Y cells	(Peng et al. (2019)
61	miR-126	PD	PI3K/AKT	miR-126↑ → PI3K/AKT ↓ → PD ( −)	Neuron cells	Kim et al. (2014)
62	miR-185	PD	PI3K/AKT	miR-185↑ → PI3K/AKT ↑ → PD ( +)	Rats	Qin et al. (2021)
63	miR-410	PD	PTEN/pAKT	miR-410↑ → PTEN/AKT ↑ → PD ( +)	SH-SY5Y and PC12 cells	Ge et al. (2019)
64	miR-34a	PD	Nrf2/Bax/caspase-3	miR-34a↑ → Nrf2↓ → Bax/caspase-3 ↑ → PD ( −)	SH-SY5Y	Alural et al. (2015)
65	miR-626	PD	Keap 1/Nrf2	miR-626↑ → Keap 1↓ → Nrf2 ↑ → PD ( +)	Retinal pigment epithelium cells	Qin et al. (2019)
66	miR-153	PD	Nrf2-HO-1	miR-153↑ → Nrf2-HO-1 ↓ → PD ( −)	SH-SY5Y	Zhu et al. (2018b)
67	miR-27a/miR-27b	PD	PINK1	miR-27a/miR-27b↑ → PINK1 ↓ → PD ( −)	Hela and M17 cells	Kim et al. (2016)
68	miR-212-5p	PD	SIRT2/p53	miR-212-5p↑ → SIRT2 ↓ → p53 ↓ → PD ( +)	Rats	Sun et al. (2018)
69	miR-7	PD	SIRT2/p53	miR-7↑ → SIRT2 ↓ → p53 ↓ → PD ( +)	Dopaminergic neurons cells	Li et al. (2016)
70	miR-183	PD	Bcl-2	miR-183↑ → Bcl-2 ↑ → PD ( −)	Rats	J. X. Gao et al. (2019a, b)
71	miR133a	PD	Bax/caspase-3	miR-133a↑ → Bax/caspase-3 ↓ → PD ( +)	PC12	Lu et al. (2020)
72	miR-505	PD	caspase-3	miR-505↑ → caspase-3 ↑ → PD ( −)	SH-SY5Y	Zhu et al. (2018a, b)
73	miR-15b-5p	PD	caspase-3	miR-15b-5p↑ → caspase-3 ↑ → PD ( −)	SH-SY5Y	J. Zhu et al. (2021a, b)

( −): anesis, ( +): deterioration, ↓: descend, ↑: ascend.

The most frequent neurodegenerative illness is AD with clinical manifestations of AD including cognitive impairment, personality changes, and progressive loss of memory (Alzheimer's 2016). The pathological findings were degeneration of neurons in the hippocampus and cortex, neurofibrillary tangles, and “senile plaques” precipitated containing Aβ-amyloid (Lane et al. 2018). Studies have shown that apoptosis may be the main mechanism of neuronal degeneration in AD (Caccamo et al. 2017), and there are a large number of apoptotic programmed death neurons in the brain of AD patients. Some microRNAs related to apoptosis, such as the miR-16 and the miR-15, participate in the regulation of the human anti-apoptotic BCL-2 gene (Cimmino et al. 2005). There has also been speculation that the expressions of miR-9, miR-128, and miR-1256 are expressed significantly more in the brains of patients with AD which are significantly higher than the average expression levels in the brain tissues of the adult control group brains (Sethi and Lukiw 2009). The level of miR-107 expression is also highly linked to the severity of AD; its expression decreases as the disease has progresses (W. X. Wang et al. 2008a, b). Beta-secretase 1 (BACE1) is the enzyme that controls the rate of Aβ-amyloid formation, and miRNAs such as miR-328 and miR-298 can also regulate the expression of BACE1 to affect the production of Aβ-amyloid production. Specific locations on BACE1 can be recognized by the miR-328 and the miR-298, which regulate the expression of the BACE1 enzyme (Boissonneault et al. 2009).

The role of miRNAs in Parkinson’s disease

Parkinson’s disease (PD) is a widespread and complicated neurodegenerative illness caused by the death of dopamine neurons in the substantia nigra and manifests with a broad range of motor and non-motor symptoms. There are many biomarkers for PD, including clinical biomarkers such as rapid eye movement sleep behavior disorder, imaging biomarkers, inflammatory biomarkers, and biofluid-based biomarkers such as α-synuclein and extracellular vesicle. miRNAs are being investigated as potential biomarkers for the early diagnosis of PD and monitoring the pathological progression because they are stable and easily detectable in biofluids (Li and Le 2020). Table 1 shows various miRNAs with reported expression in different cells and rats with PD. The crucial factors involved in inducing neuronal death in PD are parkin, VPS35, DJ1, PTEN-induced kinase 1, and leucine-rich repeat kinase 2 (LRRK2); these proteins facilitate oxidative stress, inflammation, apoptosis, and dysregulated calcium homeostasis in neurons (Zimprich et al. 2004). The molecular mechanisms by which miRNAs contribute to the pathology of PD are summarized in Fig. 3.

Fig. 3.

The molecular mechanism of miRNAs on the pathology of PD.

Reproduced with permission from reference (Khezri et al. 2022). Copyright 2022 Springer Nature and Copyright Clearance Center

SNCA encodes α-synuclein, one of the main precipitating factors for PD. Increased α-synuclein can induce dopaminergic neuron dysfunction in the PD brain by triggering excessive oxidative stress and disrupting calcium homeostasis (Lashuel et al. 2002). A polymorphism of PITX3 is related to PD, while miR-133b participates in passive feedback regulation of Pitx3. When miR-133b expression is reduced, the balance is disrupted, which will eventually lead to PD. SNCA overexpression enhances the sensitivity of dopaminergic neurons to oxidative stress, which is one of the pathological changes of PD. Inhibition of miR-433 expression increases the expression of fibroblast growth factor 20 protein and ultimately leads to SNCA overexpression (Higgs and Lehman 2015). miR-7 and miR-153 participate in post-transcriptional regulation of SNCA, and changes in their expression lead to PD. The phosphoinositide 3-kinase (P13K)/AKT signaling pathway can also induce α-synuclein overexpression. Activated miR-7 and miR-153 can inhibit the P13K/AKT signaling pathway and are potential biomarkers involved in α-synuclein expression for PD (Fig. 3).

LRRK2 is regarded as one of most important proteins involved in the development of dopaminergic neurons; mutations in this gene can cause familial and sporadic PD diseases (Zimprich et al. 2004). miR-205 and miR-599 can decrease LRRK2 expression by targeting the 3′-untranslated region (UTR) of LRRK2 mRNA and attenuate MPTP (1-methyl-4-phenyl-1,2,3,6-tetrahydropyridine)-induced apoptosis in SH-SY5Y cells (Fig. 3). Moreover, miR-34a, miR-153, and miR-626 are associated with the pathologic mechanisms in PD by regulating oxidative stress and neuronal apoptosis. The P13K/AKT, LRRK2/ERK1/2, and P13K/PTEN signaling pathways are involved in neuronal apoptosis, oxidative stress, and other pathophysiological mechanisms in PD and are key regulators in the homeostasis of dopaminergic neurons. Many miRNAs have been reported and predicted to regulate neurodegeneration in PD, and these bioactive miRNAs may serve as a platform for potential biological markers and therapeutic targets in future.

The role of miRNAs in Huntington’s disease and other neurodegenerative diseases

Huntington’s disease (HD) is a malignant autosomal dominant neurological illness generally known as Huntington’s chorea, mainly due to the production of abnormal Huntington protein (Htt), resulting in the progressive death of nerve cells in the striatum and cortex (McColgan and Tabrizi 2018). Increased restrictive element-1 silencing transcription factor (REST) expression has been found in both HD mouse models and human HD brain tissue (Buckley et al. 2010; Johnson and Buckley 2009). REST plays a critical role in the regulation of neuronal genes; it is widely expressed throughout the body and exhibits especially strong expression in immature CNS cells. Its function is to suppress a large number of neuron-specific genes by attracting a multi-subunit complex of DNA regulatory motifs known as repressor 1 to a specific location (Buckley et al. 2010). It promotes neuroprotection by suppressing genes implicated in oxidative stress and amyloid toxicity and by fine-tuning genes involved in synaptic plasticity and normal aging (Hwang and Zukin 2018). Moreover, miRNAs that target the REST complex can significantly reduce other miRNAs, including miR-330, miR-29a, miR-132, and miR-124 (Yoo et al. 2011). In particular, miR-132 and miR-124 are decreased most significantly in HD (Johnson et al. 2008). miR-124 is highly expressed specifically in normal neurons, and its target gene is a component of REST (Lee et al. 2017). During embryonic CNS system development, miR-124 targets the 3′-UTR of synaptonemal complex protein 1 (SCPY1) to limit its expression (Visvanathan et al. 2007). In addition, miR-132 downregulation promotes axonal growth by inhibiting p250GA transcription in the cortex of patients with HD (Fukuoka et al. 2018). Furthermore, in vivo upregulation of REST alters the production of myriad miRNAs, including miR-9*, miR-9, and miR-124 (Bithell et al. 2009). To be more specific, miR-124 mainly inhibits the expression of non-neuronal genes in neurons, which is critical for neuronal development. In addition, miR-9 and miR-9* can regulate the expression of REST, thus affecting the manifestation of HD (Chang et al. 2017). These studies suggest that REST can directly inhibit gene expression and indirectly regulate the function of miRNAs and their target genes by influencing the expression of some miRNAs. Other miRNAs such as miR-9, miR-142, miR-155, and miR-22, among others, have been identified to contribute to the neurodegenerative disease including ischaemic stroke, IR, and MS (Table 1).

The role of endogenous miRNAs

Researchers have examined the role of endogenous miRNAs in eight neurodegenerative diseases, including AD, amyotrophic lateral sclerosis (ALS), ataxia, dementia, HD, MS, PD, and prion diseases. Most studies have focused on AD to examine the relationship between miRNAs and neurodegenerative diseases. The changes in various miRNAs in animal models of different neurodegenerative diseases and their corresponding regulatory pathways are described Table 1. There is a dual effect of mRNAs on the nervous system. On the one hand, some miRNAs have protective effects. For example, in AD, miR-15b, miR-107, miR-388-5p, miR-200a-3p, miR-31, and miR-29c can directly act on the BACE1 (Barros-Viegas et al. 2020; Jiao et al. 2016; Li and Wang 2018; Qian et al. 2019; Wang et al. 2019; Zong et al. 2011), reducing Aβ accumulation, and play a protective role against AD. miR-15b can also act on nuclear transcription factor-kβ signal to play a regulatory role (Dai et al. 2014). Meanwhile, miR-132, miR-212, miR-101a/b, miR-155a-5p, miR-142a-5p, miR-455a-5p, and miR-146a-5p can inhibit tau phosphorylation through different pathways and regulatory pathways (D. Liu et al. 2017a, b; Sierksma et al. 2018; Smith et al. 2015). Specifically, miR-132 and miR-212 can inhibit tau phosphorylation by disrupting the balance of S-nitrosylation (Cha et al. 2019), while miR-101a/b regulates tau phosphorylation through two different pathways, histone deacetylase 2 and mitogen-activated protein kinases (D. Liu et al. 2017a, b). miR-155a-5p, miR-142a-5p, miR-455a-5p, and miR-146a-5p can regulate or directly act on tau protein by targeting glycogen synthase kinase-3β and the cyclin-dependent kinase 5 (CDK5)/PTEN/PPP2CA axis to inhibit its phosphorylation (Sierksma et al. 2018). On the other hand, some miRNAs can also damage the nervous system to some extent. For example, several miRNAs are pro-inflammatory, promoting neuroinflammation (Vezzani et al. 2011) and neuronal damage (Stephenson et al. 2018). The pro-inflammatory miR-155, miR-27b, and miR-326; the anti-inflammatory miR-21, miR-124, miR-146a, and miR-223 (Gaudet et al. 2018); and the pro- and anti-inflammatory let-7 family (Roush and Slack 2008) can regulate inflammation through the nuclear factor kappa B (NF-κβ) pathway in the brain (Fig. 4).

Fig. 4.

The regulatory mechanisms of miRNAs in CNS

A review of the literature shows that many miRNAs are dysregulated in animal models of neurodegenerative diseases. miR-9, miR-15, the miR-29 family, and the miR-34 family have been studied most extensively (Fig. 5). For example, the occurrence of neurodegenerative diseases is related to cell proliferation and differentiation, and miR-9 is the key miRNA involved in regulating cell proliferation and differentiation (Khafaei et al. 2019). Neurodegenerative diseases involve extensive apoptosis, and the miR-34 family is one of the important miRNAs involved in regulating apoptosis. In clinical applications, the miR-34 family is often used for cancer treatment (Hermeking 2010). However, as a key miRNA regulating programmed cell death, the miR-34 family’s function in neurodegenerative illnesses should not be overlooked (Bazrgar et al. 2021). Pro-inflammatory, immune-mediated mechanisms are undeniably important in the pathogenesis and progression of neurodegenerative disease. Furthermore, miR-15 regulates cellular immunity and is involved in the onset and progression of neurodegenerative disorders (Hutter et al. 2021). Meanwhile, it is also involved in apoptosis, cell differentiation, and proliferation, and plays a wide role in various processes. The miR-29 family also participates in the regulation of various channels in the brain (Swahari et al. 2021), and plays a modulatory role within the immune reaction, multiplication, separation, and apoptosis of cells (Alizadeh et al. 2019; Sharma et al. 2021).

Fig. 5.

The regulatory mechanisms of critical miRNAs in CNS 

In the following subsections, we summarize the regulatory pathways and mechanisms of action of these endogenous miRNAs in animal models of neurodegenerative diseases. The expression profile of miRNAs is summarized in Table 1, which also forms a general map to clarify the expression of these miRNAs in neurodegenerative diseases.

miR-9

miR-9 is highly expressed in the brain of developing and adult mammals (Sempere et al. 2004). miR-9 is indispensable to the proliferation and differentiation of neural stem cells (Tan et al. 2012). Indeed, suppression of miR-9 leads to decreased proliferation of neural progenitor cells and increased cell migration ability (Delaloy et al. 2010). Studies have revealed distinct sets of miRNAs in different species, and the differences in miR-9 may be partly responsible for the differences in brain shape, size, and function among vertebrates. This may be because miR-9 is closely related to the proliferation and differentiation of neural stem cells (Alwin Prem Anand et al. 2020). miR-9 can modulate these processes by interacting with the 3′-UTR of Hes1 mRNA and thus regulating Hes1 protein expression. When miR-9 is overexpressed, Hes1 protein is reduced, inducing neuronal differentiation and cell cycle termination (Tan et al. 2012). The foremost characteristic of miR-9 in neurogenesis is to downregulate hairy1 mRNA. The miR-9/hairy1 complex impacts apoptosis through p53 and proliferation through cyclin D/p27 (Bonev et al. 2011). miR-9 inhibits the expression of Gsh2 and Foxg1 proteins, enabling appropriate differentiation of Cajal–Retzius cells and preterm neurons, and can also affect neural development by playing a role in the neuronal cell cycle (Dajas-Bailador et al. 2012; Shibata et al. 2011). FoxP1 and ISL1/2, which are expressed in spinal motor neurons, are both assumed to be targets of miR-9. Therefore, miR-9 can impair the differentiation and axonal projection of spinal motor neurons by regulating FoxP1 protein levels (Otaegi et al. 2011).

miR-9 is strongly associated with the proliferation and differentiation of neurons, and when the homeostasis between miR-9 and transcription factors is disrupted, the proliferation, differentiation, and apoptosis of neurons are disturbed, leading to neurodegenerative diseases (Reddy et al. 2017). For example, a pathological feature of HD is transcriptional alterations in certain brain regions that are associated with abnormal activity of REST (Buckley et al. 2010). A prevailing view is that in neural progenitor cells, REST is essential for the inhibition of neuronal genes, and downregulation of REST during neuronal differentiation facilitates the acquisition and maintenance of neuronal phenotypes (Ballas et al. 2005). miR-9 controls dendritic development by targeting REST, and a vital function of miR-9 is to maintain low REST levels throughout neuronal maturation (Giusti et al. 2014). Studies have shown that REST silencing complex downregulation via miR-9 provides a double-negative feedback loop in the progression of HD; specifically, miR-9 and miR-9* target REST and core REST, respectively (Packer et al. 2008). Therefore, the dysregulation of and changes in miR-9 in corresponding targets in the populations of neuronal progenitor cells could be a common mechanism of neurodegenerative diseases.

The miR-29 family

The miR-29 family consists of clusters of miRNAs that produce miR-29a, miR-29b, miR-29c, and miR-29s, among others. They share parts of the same sequence and therefore the same target (Kriegel et al. 2012). T-bet and IFN expression are increased when miR-29 is lost. T-bet and IFN are transcription factors that work together to coordinate type 1 inflammatory responses. They are found in a variety of cell types, including antigen-presenting cells and lymphocytes. The immune system defends the body against a wide range of harmful microorganisms, but when the timing and duration of the expression of these immune factors are out of balance, autoimmune diseases can develop (Smith et al. 2012) (Steiner et al. 2011). The miR-29 family regulates Th1 differentiation and also maintains B cell survival and controls terminal differentiation through PI3K signal transduction (Hines et al. 2020), which is closely related to the immune response. In rat models of cerebral infarction, miR-29 contributes to the regulation of the Akt signaling pathway, which can suppress neuronal death (Rong et al. 2020). Different members of the miR-29 family are highly expressed in olfactory bulb neurons, the hippocampus, and cerebellar Purkinje cells. After temporary forebrain ischaemia, neurons in the hippocampal CA1 region continue to die in a delayed manner, which affects disease progression. By targeting PUMA, a member of the pro-apoptotic Bcl2 family, miR-29a causes hippocampal neuronal cell death and protects CA1 from delayed neuronal death after forebrain ischaemia (Ouyang et al. 2013). In mice, knockout of the miR-29a/b-1 cluster produces obvious characteristics of ataxia, with the main lesion site in the cerebellum; the major participants in the main cerebellar circuit are Purkinje cells. miR-29a/b-1 clusters show abundant expression in Purkinje cells. Kcnc3 and Hip1 proteins are significantly upregulated when the miR-29a/b-1 cluster is removed (Papadopoulou et al. 2015). Upregulation of Hip1 leads to N-methyl-d-aspartate receptor over-activation and increased excitotoxicity. Kcnc3 encodes Kv3.3, a voltage-gated sodium–potassium subunit crucial for Purkinje cell fast peaking and linked to spinocerebellar ataxia 13 (Hurlock et al. 2008). miR-29 also increases rat neural stem cell proliferation through the PTEN/AKT signaling pathway (Y. Gao et al. 2019a, b). IFN-β is broadly used as a factor in the immunoregulatory therapy of patients with MS. Several miRNAs are downregulated when IFN-β response genes are upregulated. Members of the miR-29 family, which is linked to apoptosis and IFN feedback loops, are among them (Hecker et al. 2013).

miR-15

Since the discovery of the miR-15/107 group, its role in humans has been increasingly studied. In vertebrate species, these miRNAs control the expression of genes involved in cell division, metabolism, the immune response, and apoptosis. Human cancer, cardiovascular disease, and neurological illnesses have all been linked to the miR-15/107 family (Parsi et al. 2015; Finnerty et al. 2010; Liu and Wang 2012). The miR-15/107 family regulates CDK5R1/p35, which is crucial for brain development and function and has been linked to a number of neurological disorders, including AD. Indeed, downregulation of the miR-15/107 family increases CDK5R1/p35 levels and, consequently, increases CDK5 activity, which is involved in the etiology of AD (Moncini et al. 2017). In addition to neural effects, miR-15 is also related to the immune response. miR-15 can help pre-B cells shift from proliferation to differentiation (Lindner et al. 2017); limit T cell cycle, survival, and memory T cell differentiation (Gagnon et al. 2019); and govern natural killer cell maturation by antagonizing Myb (Sullivan et al. 2015). When miR-15 regulates these immune cells, it regulates the immune response in the body. miR-15 can also regulate cell division and apoptosis. miR-15 and miR-16 have been identified as direct transcription targets of E2F1. Targeting cyclin E inhibits e2F-induced proliferation (Ofir et al. 2011). By targeting BCL2, miR-15 and miR-16 potentially cause apoptosis (Cimmino et al. 2005). Neurodegenerative diseases are often associated with neuroinflammation and abnormal apoptosis. Because miR-15 regulates the immune response and apoptosis, it may directly regulate some neural pathways and may also affect the occurrence of neurological diseases by regulating cellular immunity, division, or apoptosis.

The miR-34 family

The miR-34 family in mammals is made up of three processed miRNAs that are encoded by two separate genes: miR-34a is encoded by one transcript, while miR-34b and miR-34c share a transcript (L. Zhang et al. 2019a, b). miR-34a is abundant in mature and differentiated neurotransmitters in mice (Jauhari and Yadav 2019), whereas miR-34b/c is mostly found in lung tissues (Kim et al. 2019). p53 is required for miR-34 expression, and the stability of the p53 protein greatly increases miR-34 expression (Cortez et al. 2016). Feedback loops are formed between miR-34 expression and p53 protein levels during neurodevelopment (Jauhari et al. 2018). miR-34a contributes to the regulation of mouse neural stem cell proliferation by targeting SIRT1 and regulating the activity of p53. Increased expression of miR-34a can promote neurons and neurites to grow longer following mitosis in mouse neural stem cells. Decreased miR-34a expression inhibits neuronal differentiation (Aranha et al. 2011; Yamakuchi and Lowenstein 2009). TAp73, a member of the p53 family of proteins, is a transcription factor that acts on particular binding sites on the miR-34a promoter to stimulate the production of these miRNAs. Neuronal differentiation by TAp73 is mediated by miR-34a regulation of synaptic proteins (Agostini et al. 2011). miR-34a affects many aspects of cell physiology, regulating somatic reprogramming and neural differentiation by regulating the p53 protein level (Choi et al. 2011). The Notch ligand Dll1 is targeted by miR-34a when it downregulates Dll1 expression, negatively regulating cell proliferation and inducing MB cell apoptosis and neural differentiation (de Antonellis et al. 2011). In fruit flies, miR-34a modulates age-related events and long-term brain integrity, indicating a biological link between aging and neurodegeneration. The loss of this molecule can cause accelerated aging and delayed brain degeneration. miR-34a upregulation prolongs median lifespan and alleviates neurodegenerative changes caused by human pathogenic polyglutamine disease proteins (Liu et al. 2012). miR-34b/c also has a regulatory role in the nervous system, regulating Wnt1 and enhancing the differentiation of brain dopamine neurons (De Gregorio et al. 2018). Therefore, the miR-34 family is also significant in neurodegenerative illnesses.

The role of exogenous miRNAs

Recently, a growing body of literature has shown that some exogenous RNAs can be recognized by a myriad of receptors in host eukaryotic cells and that such small non-coding RNAs can be transmitted between different species to induce signal interference in a transboundary manner (Reniewicz et al. 2016). Just like microbes and hosts, symbiotic or pathogenic relationships between various organisms may be mediated by this pattern of cross-species communication (Liang et al. 2013). When exogenous miRNAs enter the host body, they can be delivered actively to recipient cells by being packaged selectively into microvesicles. Studies have shown that exogenous plant miRNAs can be obtained through ingestion of food; they can then be detected in serum, organs, and tissues of experimental animals (Link et al. 2019). In addition, some plant miRNAs can also be obtained through breast milk (Lukasik et al. 2017). Plant-derived miRNAs can be absorbed by gastrointestinal cells via SITT1, allowing them to reach the bloodstream and regulate the expression of endogenous mRNA (Zhang et al. 2012). Broccoli-derived miRNAs can withstand ordinary food processing and digestive conditions (Chapado et al. 2021), and fragments of plant miRNAs have also been detected in feces, blood, the gastrointestinal tract, and organs after plant RNA had been added directly to food particles (Liang et al. 2014).

Exogenous miRNAs can regulate the expression of target genes and the function of recipient cells. When exogenous miRNAs enter the human body, they seem to act similarly to endogenous miRNAs, participating in the host body’s management of life activities. By suppressing GSK3β-mediated NF-κB and transforming growth factor beta 1 (TGF-β1) pathways, soybean-derived gma-miR159a improves hepatic stellate cell activation and lowers inflammation (Yu et al. 2021). Moreover, cross-kingdom gene regulation by miRNAs has initiated the hot topic of the potential function of miRNAs on human or mice gene expression after oral administration.

Various miRNAs derived from plants are shown in Table 2 and their regulatory mechanisms on the human body are illustrated in Fig. 6. Among these miRNAs, miR168a, miR2911, and miR156a show high serum concentrations while miR166a shows moderate serum concentrations in mammals. Interestingly, miR2911 derived from honeysuckle presents antiviral activity against influenza A viruses (H1N1, H5N1, and H7N9) and SARS-CoV-2 in cells and mice (Zhou et al. 2020a). miR2911 is derived from plant 26S ribosomal RNA and has a high GC content; hence, it remains stable after decoction and oral administration. However, other exogenous miRNAs from honeysuckle such as miR166a and miR2910 are extensively degraded by boiling, and pre-miRNAs such as pre-miR168a and pre-miR156 are not detected in cooked rice or mouse serum while mature miR168a and miR156 levels are high. These results suggest that only mature miRNAs can be absorbed in the gut and that miRNAs derived from ribosome fragments could be more stable and abundant after decoction (Chen et al. 2021). These miRNAs derived from ribosome fragments are called atypical miRNAs because they have no precursor miRNAs. These miRNAs should receive additional research attention in the future. Other miRNAs have shown effective medicinal function, including miR159 as a breast cancer suppressor through targeting the TCF7 gene, and miR156a, miR168, and miR166a can reduce cytokine-induced monocytes adhesion and act as vasoprotective molecules by triggering low-density lipoprotein receptor adapter protein 1 (LDLRAP1) to treat cancer (Chin et al. 2016; Hou et al. 2018). The following subsections highlight the regulatory mechanisms of the main exogenous miRNAs in mammals.

Table 2.

The identified miRNAs in cross-kingdom gene regulation

Article no	Dietary miRNAs	Original plants	Target/host	Disease/target gene	Reference
1	miR2911	Honeysuckle	Human	Influenza A virus, SARS-CoV-2	Zhou et al., (2020b); Zhou et al., (2015)
2	miR168	Rice	Mice	LDLRAP1, Breast cancer	Lang et al. (2019)
3	miR166a	Oryza sativa	Human/mice/rat	LDLRAP1	Zhang et al. (2012)
4	miR156a	Cabbage, spinach, lettuce	Human/HAEC cells	LDLRAP1	Hou et al. (2018)
5	miR2910	Populus euphratica	Human	JAK-STAT signal pathway, breast cancer	Y. C. Liu et al. (2017a, b)
6	miR159	Flycine max Arabidopsis thaliana	Mice/cancer cells	TCF7, breast cancer	Chin et al. (2016)
7	miR14	Curcuma longa	Human	Rheumatoid arthritis	Sharma et al. (2017)
8	miR5754	Medicago truncatula	HCT116 cells	MALAT1, NEAT1	Marzano et al. (2020)
9	miR4995	Glycine max	HCT116 cells	MALAT1, NEAT1	Marzano et al. (2020)
10	miR167e-5p	Moringa oleifera Lam	Mice	β-Catenin	Li et al. (2019a)
11	miR156	Cabbage, spinach, lettuce	BxPc-3, AsPC-1, and PANC-1 cells	Wnt10b	M. Li, T. Chen, R. Wang et al. (2019)
12	miR471	Lettuce	Mice	Hepatitis B virus (HBV)	S. Zhang et al. (2019a, b)
13	miR519	Lettuce	Mice	Hepatitis B virus (HBV)	S. Zhang et al. (2019a, b)
14	miR5338	Rape bee pollen	Rat	Mitochondrial fusion requires fusion protein 1	Chen et al. (2018)

Fig. 6.

The cross-kingdom regulatory mechanisms of plant miRNAs: the absorbing of miRNAs after oral administration (Del Pozo-Acebo et al. 2021).

Copyright 2021 The British Pharmacological Society

miR168a

miR168a is abundant in rice and is one of the most abundant exogenous plant miRNAs in the serum. Zhang et al. (2012) first reported that miR168 can be transferred into the human body and regulate the gene expression. It resists the gut tract conditions and reaches the serum and organs, and it could keep high levels where it could regulate the expression of LDLRAP1 mRNA (Lang et al. 2019). Specifically, miR168a binds to human/mouse LDLRAP1 mRNA to suppress its expression in the liver, reducing low-density lipoprotein elimination in mouse plasma. These findings imply that exogenous plant miRNAs obtained from food can affect mammalian target gene expression (Lang et al. 2019; Zhang et al. 2012).

miR168 can also participate in physiological and biochemical processes and play a regulatory role in the host. Furthermore, the miR168 family has 123 targets in the human transcriptome; 58% of these targets are cleaved and translation is inhibited for 41% of these targets. Among the 10 genes chosen at random are ATXN1, RPL34, ALS2, and AKAPI3, which are involved in transcription, cell transport, cell metabolism, and neurodegenerative disorders (Javed et al. 2017). Overall, miR-168 is highly conserved and can play a regulatory role after being absorbed by the body, and even participate in the regulation of some neurodegenerative diseases.

miR2911

miR2911 is a highly conserved miRNA that is abundant in honeysuckle and is stable after high-temperature frying (Zhou et al. 2020b). Most miRNAs such as miR166a, miR2914, and miR156 enriched in honeysuckle decoction are easily degraded after boiling, but miR2911 is stable. Although the reason underlying the high stability of miR2911 is still unclear, previous reports indicate that miR2911 is an atypical miRNA derived from ribosomal RNA (rRNA) and has a high GC content, which might contribute to its high stability. These results revealed that herb miRNAs derived from rRNA and with a high GC content might play an important role in traditional Chinese medicine. This eventuality requires additional research to exploit this unrecognized component.

A murine study reported that miR2911 could be detected in various organs and could pass through the mouse GI tract and be transferred to the bloodstream and lungs. Subsequently, SID1 transmembrane family member 1 in the gastric pit cell membrane can mediate uptake of dietary miRNAs, including miR2911, into cells (Fig. 6). miR2911 has various activities, including antiviral, antineoplastic, and anti-inflammatory. miR2911 can directly and adequately inhibit the replication of the H1N1 virus. In vitro and in vivo, miR2911 can suppress the replication of the H5N1 and H7N9 viruses, suggesting that it could be a unique product from nature that efficiently prevents viral infection (Zhou et al. 2015). miR2911 encoded by Lonicera japonica inhibits the replication of enterovirus 71 by targeting the VP1 gene (X. Li et al. 2018a, b), and directly inhibits the replication of varicella-zoster virus by targeting the IE62 gene (Y. Huang et al. 2019a, b). In addition to its antiviral effects, miR2911 can inhibit tumor growth by targeting TGF-β1 (Liu et al. 2021).

Exogenous miRNAs from food sources can enter the mammalian circulatory system and accumulate in organs. Once sin organs, these plant miRNAs can regulate target genes in a manner similar to endogenous miRNAs, thus affecting related physiological processes. Although a few exogenous miRNAs have been developed into molecules for drugs, miR2911 has not been exploited for this purpose. Hence, it is critical to find more new miRNAs similar to miR2911 with the excellent characteristics that could serve as therapeutics.

Discussion

miRNAs are involved in different types of neurodegenerative diseases and are upregulated or downregulated to different degrees in the brain of patients. Hence, they are receiving more and more attention as potential biomarkers of neurological diseases (J. Wang et al. 2015a, b). miR-155-5p, miR-9-5p, miR-146a-5p, miR-21-5p, miR-223-3p, miR-124-3p, and miR-132-3p are all frequently investigated miRNAs, in addition to miR-9, miR-15, the miR-29 family, and the miR-34 family (Juzwik et al. 2019). In neurodegenerative diseases, some of these miRNAs regulate immune responses in the brain (Neal and Richardson 2018); some regulate neuronal division, differentiation, and apoptosis (Lynam-Lennon et al. 2009); and some are associated with oxidative stress (Konovalova et al. 2019). Major pathways involved in neurodegenerative diseases, such as the NF-Kβ pathway, the Akt signaling pathway, and the Notch pathway, are closely related to miRNAs. In this review, we have discussed miRNAs in the context of neurodegenerative diseases. It is important to note that miRNAs do not play independent roles. Their functions overlap, suggesting that they are likely to work together in neurodegenerative diseases. We have systematically sorted and identified miRNAs related to neurodegenerative diseases. These miRNAs are involved in many common pathological mechanisms of neurodegenerative diseases, a fact that underscores the common pathways of disease pathogenesis.

miRNAs are highly conserved among species due to their hairpin structure, which enables them to be expressed stably in the body. In addition, the development and application of high-throughput sequencing technology has greatly improved the diagnostic sensitivity of miRNA profiling. The type and amounts of exosomes released by nerve cells are affected by pathological changes in the nervous system microenvironment, and miRNAs, which are the important parts of neuronal genetics, are often significantly altered, suggesting that miRNA precursors have considerable value as early diagnostic markers for neurodegenerative diseases. Wang (Wang & Zhang 2020) summarized several representative miRNAs that could be used as biomarkers in neurodegenerative diseases and proposed the merit and demerit of miRNAs as diagnostic markers for neurodegenerative diseases. Cheng et al. (2015) examined whether unique miRNAs might also have comparable diagnostic efficacy as conventional biomarkers and may be used as diagnostic biomarkers to mirror the development of AD. Therefore, circulating ex-miRNAs have great potential as biomarkers for the prognosis and analysis of neurodegenerative diseases.

Some miRNAs also show their considerable therapeutic potential for neurodegenerative diseases. Currently, there are two miRNA-based treatment strategies. The first is to use miRNA mimics to improve the expression of some miRNAs and to regulate the expression of their specific target proteins (Bouchie 2013). The second approach is to use miRNA inhibitors to block certain miRNAs when they are overexpressed by injecting complementary RNA sequences that bind to and inactivate the target miRNAs (Rupaimoole and Slack 2017). Drugs for neurodegenerative diseases need to cross the blood–brain barrier (BBB) to be effective; miRNAs, as small molecules of only about 20 bp, have the ability to cross the BBB. Targeted delivery of miRNAs is also a topic worth studying. miRNA-targeted agents with improved pharmacological activity and optimized pharmacokinetic properties are expected to be novel agents for the treatment of neurodegenerative diseases (Gupta et al. 2021). However, the application of miRNA-based therapies faces many difficulties. One is potential off-target effects (Seok et al. 2018). miRNAs should reach the right target without interfering with normal cell function and deliver drug molecules across the BBB to the right cells in the brain to act on their corresponding proteins. In addition, it is crucial to avoid activating the innate immune response when delivering this “foreign material” to the brain. Thus, there should be exploration of the potential impact of using exosomes from dendritic cells to carry nucleic acids and proteins to target cells (Zhang et al. 2021).

It is precisely because miRNAs are particularly important in the pathogenesis of neurodegenerative diseases that it is important to elucidate the unknown molecular mechanisms behind these diseases and to enable the use of these molecules as potential therapeutic interventions. It is possible to use miRNAs as biomarkers of neurodegenerative diseases or as new therapeutic agents. At the same time, it is important to understand disease occurrence and progression and its related molecular/cellular mechanisms, as well as the detailed role of miRNA networks in sporadic forms of neurodegenerative disease.

In addition, some exogenous miRNAs such as miR168 and miR2911 play a regulatory role by binding to their matching targets. Because these exogenous miRNAs can enter the human body and participate in regulatory processes, we speculate that some exogenous miRNAs can also cross the BB. It may even play a protective role in neurodegenerative diseases, but more studies are needed.

Abbreviations

PRKACB

Protein kinase cAMP-activated catalytic subunit beta

HDAC4

Histone deacetylase 4

PKA

Protein kinase A

CREB

Cyclic adenosine monophosphate response element-binding protein

SAMP8

Senescence-accelerated mouse prone 8

AMPK

Phosphorylation-dependent AMP-activated protein kinase

MCI

Mild cognitive impairment

HNF-4A

Hepatocyte nuclear factor 4α

MCAO

Middle cerebral artery occlusion

NOS1

Neuronal nitric oxide synthase

MS

Multiple sclerosis

EAE

 Experimental autoimmune encephalomyelitis

SOCS1

Suppressor of cytokine signaling

TGFBR1

Transforming growth factor, beta receptor I

OGD/R

Oxygen-glucose deprivation/reoxygenation

I/R

Cerebral ischemia–reperfusion

FLT3

Feline McDonough sarcoma-like tyrosine kinase 3

CDK5

Calpain 1/p25/cyclin-dependent kinases 5

STAT3

Signal transducer and activator of transcription 3

Bim

Bcl-2-interacting mediator of cell death

ERK

Extracellular signal-regulated kinase

AMD

Age-related macular degeneration

MG

Murine microglial

PUMA

P53 upregulated modulator of apoptosis

PBMCs

Peripheral blood mononuclear cells

PDCD10

Programmed cell death 10

6-OHDA

6-Hydroxydopamine

HMVEC

27 Hydroxycholesterols (27-OHC) on microvascular endothelial cell

SH-SY5Y

Human neuroblastoma cells

C1q

Primary protein of classical complement cascade

RF1

Regulatory factor X1

S6K1

Ribosomal protein S6 kinase B1

IRS-1pSer

Phosphorylates insulin receptor substrate 1

sGC

Soluble guanylate cyclase

SNCA

Synuclein-alpha

DUSP6

Dual specificity phosphatase 6

PPP1CA

Protein phosphatase 1 catalytic subunit α isoform

GSK-3β

Glycogen synthase kinase-3β

CCH

Chronic cerebral hypoperfusion

VaD

Vascular dementia

mTOR

Mammalian target of rapamycin

IRAK

Interleukin-1 receptor-associated kinase

HAG cells

Human astroglial cells

HSPC

Hematopoietic stem/progenitor cells

PS1

Presenilin-1

ADAM10

A disintegrin and metalloproteinase 10

Nrf2

Nuclear factor-erythroid 2-related factor 2

DCHG

Duke Center for Human Genetics

BDNF

Brain-derived neurotrophic factor

CDK5/PTEN/PPP2CA

Calpain 1/p25/cyclin-dependent kinases 5/phosphatase and tensin homolog deleted on chromosome ten/protein phosphatase 2 catalytic subunit alpha

IFN-β

Interferon-β

Dll1

Notch ligand delta-like 1

LIMK-1

The p-Lin-11/Isl-1/Mec-3 kinases

BACE1

Beta-site APP cleaving enzyme 1

UTR

Untranslated region

NC RNAs

Non-coding RNAs

RISC

RNA-induced silencing complex

Author contribution

S.L. and T.S. conceived this study. Z.L., S.L., and T.S. designed and performed this research. S.L. and Z.L. wrote this review. Z.L. and T.S. improved the language. All authors reviewed this manuscript.

Funding

This work was financially supported by the National Natural Science Foundation of China (No.32202857), the Fundamental Research Funds for the Central Universities (WUT: 2021IVA075) as well as the Project of Industry-school Cooperation and Collaborative Education (No.KGRCYJY2021005) and Grant (No.20212h0313) from Beijing Metalulu Botanmin Technology Co., LTD.

Data availability

All data generated or analyzed during this study are included in this published article.

Code availability

Not applicable.

Declarations

Ethics approval

All operation in this study was granted approval by the ethics board at the Wuhan University of Technology.

Consent to participate

Not applicable.

Consent for publication

Not applicable.

Competing interests

The authors declare no competing interests.