Brain-derived neurotrophic factor (BDNF) is a member of the neurotrophin family of growth factors that plays a crucial role in the development of the nervous system while supporting the survival of existing neurons and instigating neurogenesis. Altered levels of BDNF, both in the circulation and in the central nervous system (CNS), have been reported to be involved in the pathogenesis of neurodegenerative diseases, including Alzheimer’s disease (AD), Parkinson’s disease (PD), amyotrophic lateral sclerosis (ALS), Huntington’s disease (HD), multiple sclerosis (MS), and ischemic stroke. MicroRNAs (miRNAs) are a class of non-coding RNAs found in body fluids such as peripheral blood and cerebrospinal fluid. Several different miRNAs, and their target genes, are recognized to be involved in the pathophysiology of neurodegenerative and neurovascular diseases. Thus, they present as promising biomarkers and a novel treatment approach for CNS disorders. Currently, limited studies provide viable evidence of miRNA-mediated post-transcriptional regulation of BDNF. The aim of this review is to provide a comprehensive assessment of the current knowledge regarding the potential diagnostic and prognostic values of miRNAs affecting BDNF expression and its role as a CNS disorders and neurovascular disease biomarker. Moreover, a novel therapeutic approach in neurodegenerative diseases and ischemic stroke targeting miRNAs associated with BDNF will be discussed.
Along with the nerve growth factor and neurotrophins (NT), brain-derived neurotrophic factor (BDNF) is a member of the NT family that has a crucial role in the development and maintenance of the nervous system. It regulates neurotransmission, neuronal regeneration and morphology, and the functional synaptic plasticity in neurons both in the peripheral nervous system and central nervous system (CNS) by binding tropomyosin receptor kinase B (TrkB) [1, 2]. BDNF has previously been discovered in endothelial cells, muscle tissues, liver, and adipose tissues. Later on, it was also found in immune cells, such as lymphocytes and monocytes [1, 3]. It was stated that the three areas where BDNF is most active are the hippocampus, cortex, and basal forebrain [4, 5]. Altered levels of BDNF, both in the circulating blood and in the CNS tissues, have been reported to be involved in the pathogenesis of neurodegenerative diseases, including Alzheimer’s disease (AD), Parkinson’s disease (PD), amyotrophic lateral sclerosis (ALS), Huntington’s disease (HD), and multiple sclerosis (MS) as well as in ischemic stroke [5,6,7,8,9,10].
MicroRNAs (miRNAs) are small non-coding RNAs that contain around 22 nucleotides. MiRNAs play a crucial role in diverse biological and pathological processes in cardiovascular disease, diabetes, and neurological disorders and neurovascular disease. They are promising novel disease biomarkers and treatment approaches in cardiovascular diseases and diabetes as well as in neurodegenerative disease and ischemic stroke as they regulate gene expressions [11,12,13,14,15,16,17].
In this review, we present a comprehensive overview of the current knowledge of the association between BDNF and miRNAs as well as diagnostic/prognostic/therapeutic value of miRNAs in a range of CNS disorders—including AD, PD, HD, ALS, MS, and ischemic stroke.
BDNF and MicroRNAs in Neurodegenerative Disease
Alzheimer’s disease (AD) is the most common known cause of dementia and is characterized by massive neuronal loss, cognitive dysfunction, and memory deterioration, starting usually after the age of 65 years [18, 19]. Associated genetic predispositions have been defined, but the majority of cases are still described as idiopathic, with the underlying neuropathology largely unknown. Pathological changes in AD can be listed as accumulation of amyloid β-42 and phosphorylated tau, the formation of neurofibrillary tangles, low-grade inflammation, and reduced cholinergic functions . Despite scientific advances, there is still a lack of viable biomarkers for AD and with an aging population, the numbers of AD-related deaths are inevitably on the rise.
BDNF and Alzheimer’s Disease
The expression of BDNF in the central nervous system and its influence by ischemia, stress, or hypoglycemia are currently well established . BDNF is hypothesized to modulate not only neuronal growth and survival but also AD development. It was observed that AD subjects demonstrate discrepancy in upregulated and downregulated BDNF levels when compared to healthy individuals [22,23,24]. Additionally, cognitive decline in AD has been associated with BDNF as a result of its diverse biological effects among a wide variety of receptors . A meta-analysis has confirmed a connection between BDNF and AD; however, it also shed light on the implications associated with detection, only being possible in late stages of the disease .
BDNF Associated MicroRNAs in Alzheimer’s Disease
MicroRNAs are considered by many as a class of gene regulatory elements with roles in the development of AD. They have shown to be essential in the molecular control of neurological development and aging while being associated with AD. MiRNAs have demonstrated an association with AD-related proteins in the brain while remaining at constant levels in both blood and cerebrospinal fluid (CSF) .
Croce et al. examined the miRNA changes in AD-affected neurons by using in vitro models of AD. Neuropeptide Y (NPY)-pre-treated rat cortical neurons were exposed to Aß25–35 and protein expression was measured after 24 and 48 h along with miR-30a-5p (a member of the miR-30a family and a target of BDNF). Results showed that an overexpression of miR-34a, miR-30a-5p, and Let-7d downregulated BDNF expression while NPY demonstrated a protective mechanism. Therefore, this study suggested that NPY alters BDNF expression by inhibiting miR-30a-5p expression with a mechanism that more likely contributes to the neuroprotective effect of NPY due to Aß exposure in vitro . However, previous study showed that loss in NPY mRNA expression was positively associated to BDNF protein concentration and BDNF levels were inversely associated to miR-195, but not to miR-30a, on the prefrontal cortex of schizophrenic individuals from a postmortem cohort .
Memory-associated proteins, including cAMP response element-binding protein (CREB) and BDNF, play a crucial role in learning and are associated with miR-132/212 function and/or regulation, as well as miR-132/212 family plays a crucial role in neural function/plasticity and synaptic plasticity [30, 31]. Genetic deficiency of miR-132/212 caused learning deficiency and decreased spatial memory in miR-132 knockout (KO) mice. Importantly, phosphorylated CREB was found upregulated in the hippocampus while BDNF was downregulated in miR-132 KO mice compared to controls. Hence, both phosphorylated CREB and BDNF may be involved in mechanism of memory formation and retention regulation by miR-132/212 in AD .
Kim et al.  noted that miR-126 had functional relevance in neurotoxicity. Upregulation of miR-126 increased neuronal toxicity, and inhibition of miR-126 showed neuroprotective effect via increasing NGF expressions such as, IGF-1, NGF, and BDNF. Importantly, the study also searched the mechanism and showed that the neuroprotective impact of BDNF was reduced while the expression of its receptor TrkB was blocked by anti-TrkB. This may suggest that miR-126 can affect BDNF/TrkB signaling pathway. MiR-126 is associated with modulation of IGF-1/PI3K/AKT, p38 MAPK, or ERK cascade in a multitude of non-neuronal cells. Additionally, it is well-known that among the growth factors, BDNF also uses the PI3K signaling pathway [34, 35]. Another important finding of the study was that dysfunctional miR-126 might be a crucial element in nervous system pathogenesis via particularly deregulating PI3K/AKT signaling pathway. Thus, miR-126 can provide a crucial bridge between metabolic disturbances and neurotoxicity through the association with BDNF and their common signaling cascades in the pathogenesis of neurodegenerative disease, including PD and AD .
The importance of miR-937 and its relation with BDNF was studied with miR-937-modified mesenchymal stem cells (MSCs) in animal models of AD. Overexpression of antisense-miR-937 in MSCs improved the protective effects of MSCs on AD, through increasing Brn-4 levels. Importantly, the study showed that antisense-mediated inhibition of miR-937 significantly enhanced the BDNF levels. Thus, it suggests that miR-937 deficiency in transplanted MSCs can be beneficial in neuronal repair by increasing BDNF levels .
The role of miR-322, a rodent homologue of human miR-424, was investigated by Zhang et al. In Tg2576 transgenic mouse, miR-322 was upregulated and correlated negatively with BDNF levels. The study aimed to explain the mechanism of BDNF expression regulation and clarified that BDNF is a target of miR-322, since it can directly conjugate to BDNF 3′-UTR. In addition, functional experiments revealed that miR-322 mimics downregulate the BDNF level. Knocking down miR-322 expression by inhibitors leads to upregulation of BDNF expression both at mRNA and protein level. Moreover, it was shown that increased miR-322 expression induces the TAU phosphorylation via dysregulating the BDNF-TrkB signaling pathway. These findings have indicated a promising role of miR-322 in miRNA-based therapeutic strategies in AD .
The Importance of miR-206 and Its Link to BDNF in AD
For the first time, Lee et al. showed that miR-206 modulates BDNF and memory function in AD mice and intracerebral administration of an antagomir miR-206 (an inhibitor of miR-206), in Tg2576 mice. Inhibition of miR-206 showed enhanced BDNF levels and memory performance, including the improvement of hippocampal synaptic density and neurogenesis. Antagomir miR-206 was utilized as a treatment and administered intranasally. Intranasal administration of antagomir miR-206 attained to the brain and enhanced BDNF levels and improved memory impairment in AD animal model. Collectively, these results demonstrated that miR-206 can involve in the pathogenesis of AD by inhibiting BDNF expression. Using antagomir miR-206 increased BDNF levels and can be a promising treatment approach in AD to regulate BDNF expression . The same research group further confirmed their results and showed that olfactory mucosal miR-206 level can be determined, and it can provide as a diagnostic biomarker of early AD, including MCI [39, 40]. Further, Tian et al. also aimed to assess whether miR-206 might alter BDNF in the process of AD pathogenesis. Interestingly, miR-206 expression was higher in the hippocampus, plasma, and CSF of APP/PS1 mice as compared to wild-type (WT) mice, whereas BDNF level was lower in the hippocampal tissue, plasma, and CSF of APP/PS1 mice than in WT mice. The study reported that miR-206 can directly target BDNF by binding 3′UTR. Mimic of miR-206 administration decreased the BDNF levels, whereas the antagomir-206 usage increased both intracellular and secreted BDNF levels . Transgenic APP/PS1 mice with memory impairment showed significantly increased miR-206 levels both in the hippocampus and cortex compared to WT control. Chronic usage of donepezil improved memory function and BDNF dysfunction, while downregulating the miR-206 expression. In turn, miR-206 agonist (agomiR-206-3p) significantly weakened the anti-dementia effects of donepezil. These findings provide that BDNF function is closely related to donepezil treatment and inversely correlated with miR-206 levels . Later, miR-206 was evaluated in order to find a potential prognostic marker of progression of amnestic mild cognitive impairment (aMCI) to AD. The study analyzed the clinical data of 458 patients recruited from MASHB study (mild cognitive impairment and Alzheimer’s disease study in Heibei province) collected twice: at the baseline and at the 5-year follow-up. It was found that miR-206 levels were higher, and BDNF levels were lower in patients with AD conversion. According to multivariate regression analysis, higher concentrations of miR-206 and lower BDNF levels were significantly associated with conversion from aMCI to AD; thus, they may act as an independent prognostic biomarker . MiR-206 belongs to the miR-1 family and recently, many studies analyzed the effect of miR-206 in neurodegenerative disease. It is one of the most well-studied miRNAs in AD. Several reports have shown that miR-206 is involved in the pathophysiology of AD due to suppression of the BDNF expression in the brain. Studies have found that patients with AD and AD animal models have increased miR-206 levels in the brain tissue, which causes memory loss by decreasing both BDNF protein levels and gene expressions in the CNS [39, 40, 42] (Table 1, Fig. 1).
In a human study, 32 patients suffering from mild cognitive impairment (MCI) and 48 with dementia of Alzheimer’s disease type (DAT) were compared to 40 healthy individuals. Both MCI and DAT patients had a lower number of mRNA BDNF transcripts as well as expression of BDNF protein in both plasma and CSF. To determine which miRNA may regulate the process of BDNF transcription, the miRNA expression profiling was done on hippocampus species from APP/PS1 mice. Being never reported before miR-613 was chosen based on in silico prediction for further study. MiR-613 levels were significantly higher in MCI and DAT patients. The study showed that miR-613 can target BDNF gene by binding the 3′-UTR. Additionally, the negative modulation of miR-613 on BDNF was confirmed, as miR-613 significantly decreased the both BDNF mRNA and protein production in vitro . Yang et al.  investigated and compared concentrations of miR-29c and BDNF in the CSF of patients with AD and control individuals. The study revealed that along with decreased miR-29c concentrations, BDNF protein expression was also downregulated. Moreover, the authors reported a higher expression of DNA methyltransferase 3 (DNMT3), which is a target of miR-29c in the CSF of AD patients. In vitro experiments suggested that possible epigenetic mechanisms underlying AD have at least partial origin in dysregulation of DNMT3 expression caused by miR-29c at the transcriptional level by targeting its 3′UTR. Consequently, increased BDNF promoter methylation by its inhibitor DNMT3 possibly leads to downregulated protein expression. MiR-29c has an important role in neuronal growth by targeting the TrkB/Erk signaling pathway, since upregulation of miR-29c results in increased expression of TrkB and Erk proteins. It is important to note that BDNF/TrkB signaling is weakened in AD, and BDNF and TrkB have a crucial role in the CNS by supplying trophic support to nerves . Thus, this may suggest that miR-29c utilizes a neuroprotective effect via the BDNF/TrkB/Erk signaling pathway and it can be a possible therapeutic approach for the management of AD . As abovementioned, miR-206 was studied in patients from MASHB study and higher miR-206 levels and lower BDNF levels were significantly associated with conversion from aMCI to AD .
MiR-206 is a promising biomarker which has been intensively studied in AD. Both animal and human studies have shown its importance in AD targeted with BDNF. Consequently, in animal studies, antagomiR-206 was used as a treatment and it further ameliorated the memory loss and BDNF deficiency in mice. Taken together, published data may suggest that the miR-206 inhibitor can be a potential novel therapeutic approach for AD and should be further analyzed.
Parkinson’s disease (PD) is an idiopathic neurodegenerative disorder that currently affects more than two million people worldwide and second-most common neurodegenerative disorder after AD. It is characterized by progressive degeneration of nigrostriatal dopaminergic neurons and the development of intracellular proteinaceous aggregates, which impairs by both motor functions (tremor, rigidity, and bradykinesia) and non-motor functions (cognitive decline) .
BDNF and Parkinson’s Disease
Numerous pre-clinical and clinical studies have shown alterations of BDNF levels among the PD individuals, showing its potential role in the pathogenesis of the disorder. BDNF is a critical factor for vitality and maturation of dopaminergic neurons which loss in substantia nigra pars compacta results in a dopaminergic deficiency in the striatum. The protective effect of BDNF supports neuronal development and survival of nigrostriatal neurons . It inhibits nigrostriatal apoptosis via BDNF/TrkB signaling and is essential for the maturation and functioning of fully developed dopaminergic neurons . Overexpressed neuronal protein alpha-synuclein—a main component of Lewy bodies—downregulates the BDNF expression level . Moreover, among patients with PD, the BDNF concentrations were found to be decreased in brain tissue of AD postmortem and in the substantia nigra of PD patients . Additionally, BDNF levels were significantly lower in the newly diagnosed patients with PD. Not only pharmacological treatment with Levodopa results in an increased level of BDNF but also alternative non-pharmacological interventions including cognitive rehabilitation speech therapy and physiotherapy may potentially have a positive effect on the BDNF concentration. Moreover, it was demonstrated in rat model that BDNF gene therapy of nigral dopamine neurons prevents degeneration of striatum at the early stage of PD which underlines the potential therapeutic role of BDNF [50, 51].
BDNF Associated MicroRNAs in Parkinson’s Disease
MicroRNAs have been associated with multiple pathways of PD pathophysiology. MiR-939 and miR-26a have shown to be involved with oxidative stress affecting the pathogenesis of PD-related neuroinflammation . Leucine-rich repeat kinase 2 (LRRK2) is an important factor involved in the etiology of PD, LRRK2 mutations are the major reason of inherited and sporadic PD, and overexpression of miR-205 showed an association with the abnormal upregulation of LRRK2 in PD brains . Importantly, BDNF is known as a key protector factor against neurotoxin-induced neurodegeneration of dopaminergic neurons and cell apoptosis . A recent study confirmed such observation and also aimed to analyze many different miRNAs and related target genes by using 1-methyl-4-phenylpyridinium (MPP+) model, a dopaminergic neurotoxin which causes parkinsonian-like symptoms. The study used in vitro model of PD using a PC12 cell line from rat pheochromocytoma. MPP+ caused the loss of cell viability and enhanced apoptosis and reactive oxygen species (ROS) overexpression. The research showed downregulation of BCL2, BDNF, and SIRT1 due to MPP+ exposure. Importantly, miR-34a, miR-141, and miR-9 were increased following MPP+ toxicity. For the first time, this study demonstrated that miR-34a could be a BDNF-targeting miRNA in humans by using in silico approach. The authors suggested that the upregulation of miR-34a, miR-141, and miR-9 can target these genes (BCL2, BDNF, and SIRT1) and affect their expressions .
Downregulation of miR-30e was found in substantia nigra pars compacta (SNpc) of MPTP-induced PD animal model. Agomir of miR-30e administration significantly improved motor function and improved the dopaminergic neurons depletion, specifically by targeting and decreasing the inflammasome activity of protein-coding gene, NLRP3 and increasing the inflammatory cytokines including COX-2, TNF-α, and iNOS. It suggests that miR-30e can be neuroprotective in MPTP-induced PD animal model. Importantly, the study showed that miR-30e agomir treatment improved the decreased BDNF production in SNpc . Another study showed that melatonin can increase miR-30e expression and upregulation of miR-30e can significantly inhibit the NLRP3 inflammasome pathway whereas the positive effect of melatonin was neutralized by miR-30e inhibitor. Thus, it showed association between melatonin and the miR-30e/NLRP3 inflammasome signaling cascade . It is well known that anorexigenic proopiomelanocortin (POMC) neurons function to the hypothalamic paraventricular nucleus (PVN) and ventromedial nucleus of the hypothalamus (VMN), where alpha-melanocyte-stimulating hormone (α-MSH) is produced, by activating the melanocortin-4 receptor (MC4R). Besides, the connection between BDNF and MC4R signaling was documented with several studies . MC4R has a crucial role in regulating energy metabolism, and obesity has been observed in mice with mutations in the gene for BDNF . BDNF is expressed at high levels in the VMN, where its expression is modulated by MC4R signaling. Thus, it may suggest that MC4R activation in the VMN can control BDNF expression [57, 58]. Besides, altered miR-30e expression in hypothalamus after a chronic caloric restriction and HFD in animal model was documented . Taken together, it can be hypothesized that BDNF may have a link with miR-30e via MC4R from the hypothalamus and NLRP3 inflammasome signaling pathway. Future studies are needed in order to discover the exact mechanism between BDNF and miR-30e (Table 1).
Another study in PD investigated the intricate mechanism of relation between BDNF and miR-21. Both markers were assessed in isolated peripheral blood mononuclear cells (PBMC) from patients and control individuals as well as in SH-SY5Y cells (an in vitro model for PD). Decreased expressions of peroxisome proliferator–activated receptor alpha (PPARα—an isotype of PPAR, which is expressed in the brain, and involved in excitatory neurotransmission) and increased miR-21 levels were found in PD patients compared with normal controls. Further, the study investigates the effect of docosahexaenoic acid (DHA—a fatty acid, which plays a critical role in the preservation of the nervous system and is involved in the treatment of neurodegenerative diseases) and inhibitory effect of miR-21 on PD by using neuroblastoma SH-Y5Y cells. DHA affected PPARα by activating RXRα and promoting expression of PPARα through inhibiting miR-21. Importantly, the study showed that DHA increased neurotrophic factors such as GDNF and BDNF. Thus, authors hypothesized that DHA upregulates PPARα expression by miR-21 inhibitor and activates RXRα, which reveals induced BDNF, functioned as a neuroprotective factor .
To date, there’s a limited number of studies assessing the relation between miRNA and BDNF in PD. Essentially, only miR-34a, miR-141, miR-9, miR-21, and miR-30e were analyzed based on BDNF modulation. Among these miRNAs, miR-34a was found as a direct target of BDNF throughout in silico analysis. Further, this prediction was confirmed throughout an experimental analysis. Moreover, miR-34a was suggested as an indicator of the PD-related mechanisms, including oxidative stress and apoptosis. Thus, further studies should confirm these important results.
Huntington’s disease (HD) is a progressive neurodegenerative disorder which is inherited in an autosomal dominant genetic condition. Ultimately, HD is caused by an expanded CAG repeat in the huntingtin gene (HTT) which results in abnormal protein processing and aggregation . Clinically, HD presents with distinctive chorea, dystonia, incoordination, cognitive decline, and psychiatric behaviors .
BDNF and Huntington’s Disease
The role of BDNF has been extensively investigated since the striatum does not produce BDNF, as the main source of BDNF is the cortex or thalamus and mesencephalon, and it depends on it for proper functioning [6, 61, 62]. It is hypothesized that BDNF transfer from the cortex to the striatum is attenuated in an animal model of HD. Therefore, the reduction in cortical BDNF delivery would result in diminished activity of the cortex and striatum synaptic activity and resulting in synaptic loss. Additionally, another animal study presented increased vulnerability of these particular neurons as a result of the altered release of BDNF-containing vesicles in the brain. In light of the aforementioned, BDNF was tested on HD mouse models. Results displayed an improvement in disease phenotypes . Moreover, molecular findings have demonstrated the link between HTT and RE1-silencing transcription factor (REST), a transcriptional repressor, which plays a key role in neuronal differentiation and CNS development. WT HTT protein can activate BDNF and sequester REST/NRSF protein in the cytoplasm. However, the presence of mutant HTT (mutHTT) results in reduced interaction between mutHTT and REST leading to a redistribution of REST into the nucleus. Of which, this shows the mutation of huntingtin causes a loss of transcription of neuronal genes, such as REST [64, 65]. The pathophysiology of HD is still unclear, and there is no treatment for it currently; thus, further studies are needed to discover neuroprotective therapy for HD.
BDNF Associated MicroRNAs in Huntington’s Disease
MiRNAs have shown to be abnormal in various regions of the brains of HD patients . Previous study used the post-mortem brains of HD patients to show that miR-22 has protective mechanisms against the disease . These abnormalities have corresponded to clinical tests in the prodromal stage of the disease. Because of their proposed function in communication between neuronal and peripheral tissues, circulating miRNAs have specifically shown to be a topic of interest in HD studies. Alterations in post-transcriptional regulation have shown to be a potential mechanism underlying repressed miRNA expression in patients suffering from this disease .
Johnson et al.  showed that enhanced levels of nuclear REST in HD neurons cause to alterations in the neuronal transcriptome both directly, by inhibition of target gene expression, such as BDNF, and indirectly, by modulation of miRNA expression, such as miR-132 in neurons. The authors compared miRNA expression in post-mortem brain tissue samples of unaffected controls and HD patients, which revealed significant differences in miRNA levels. Known REST targets, miR-132, and miR-124a levels were significantly downregulated in the HD samples. Increased nuclear REST resulted directly decreasing the levels of miR-132 and miR-124a and indirectly via inhibition of BDNF expression consequently leading to inhibition of neurite outgrowth . The same group hypothesized that REST can target BDNF, miR-124, and miR-132. BDNF is a well-known neuronal survival promoter, while miR-124 and miR-132 post-transcriptionally can inhibit non-neuronal genes or genes involved in blockage of neuronal function. BDNF can positively regulate miR-124 but not miR-132 . Finally, in 2014, in silico results showed the important role of miR-10b-5p and its target gene BDNF in HD. The study re-analyzed the previously published next-generation sequencing data in array express. Bioinformatic analysis found that BDNF is in the centrum of the miRNA-mRNA regulatory network and might be post-transcriptionally functioned by increased miR-10b-5p and miR-30a-5p expressions. Besides, the upregulation of miR-10b-5p in HD can have a neuroprotective effect due to its target to BDNF/CREB1 and in response to the mutHTT  (Table 1). A limited number of studies have analyzed the relation of BDNF with miRNAs in HD. So far, only miR-22, miR-132, and miR-124 have been determined in experimental analyses, whereas miR-10b-5p was found in bioinformatic analysis which should be confirmed in the future in experimental model.
Amyotrophic Lateral Sclerosis
Amyotrophic lateral sclerosis (ALS) is a fatal adult-onset disease affecting both the upper and lower motor neurons causing their degeneration due to reduced delivery of major trophic molecules, which are crucial regulators of neuronal survival and regeneration. ALS most frequently affects individuals sporadically (90% of cases); however, less commonly, patients are targeted in an autosomal dominant, inherited fashion. Ultimately, death ensues around 3–5 years after diagnosis and currently, the disease is incurable .
BDNF and Amyotrophic Lateral Sclerosis
BDNF as a member of the neurotrophin family belongs to the main growth factors binding to the TrkB receptor, supporting regeneration and survival which was evaluated both in in vitro and in vivo models of injured neurons [73, 74]. However, most trials aiming to assess the differences in BDNF levels among ALS patients failed to confirm such results. Based on a study conducted on spinal cord tissue obtained from SOD1 (G93A) mice (serving as a murine model of ALS), levels of BDNF showed a significant reduction compared to control mice . Recent studies have confirmed the crucial role of BDNF in promoting motoneurons survival; therefore, BDNF as a potential treatment for ALS is a highly studied area of research. In vitro studies of BDNF supplementation have shown to ameliorate neurodegenerative changes of ALS by inhibiting apoptosis and restoring calcium homeostasis. Animal models of ALS treated with BDNF showed significant survival of both spinal motor neurons and corticospinal neurons . A phase 1 clinical trial showed positive delivery of BDNF by intrathecal administration; however, high doses also had notable behavioral implications but further clinical studies have failed to produce more than negligible results on halting disease progression .
BDNF Associated MicroRNAs in Amyotrophic Lateral Sclerosis
MiRNA dysregulation has been described in ALS pathology. Numerous ALS-associated genes have found to be associated with miRNA processing . Mutations in TDP-43, FUS, and SOD1 stimulate cellular stress resulting in reduced miRNA expression and neurodegenerative process. A study using pluripotent stem cells further presented 15 downregulated miRNAs including miR-34a and miR-504 . More recently, a study on muscle tissue from ALS patients showed upregulated levels of miR-132 and miR-125b . Studies showed that TDP-43 and FUS can function miR-132 and NF-kB pathway activation in microglia can modulate miR-125b in ALS [79,80,81]. Thus, miRNAs could be a potential strategy in the early diagnosis and treatment of ALS. On the other hand, limited studies investigate the relation between BDNF and miRNAs in ALS. Microglia are involved in ALS toxicity and neuronal protection. Parisi et al. described the M1/M2 functional imprinting of primary microglia and the importance of P2X7 and miR-125b in ALS microglia activation in their second publication. They showed that upregulated miR-125b led to an uncontrolled toxic M1 microglial reaction . Extracellular ATP is involved in inflammation by activation of P2 receptors, including P2X7 receptors. Activation of P2X7 by its agonist 2′-3′-O-(benzoyl-benzoyl) ATP (BzATP or ATP) in microglia can indicate morphological transformation and elevation of proinflammatory cytokine expression as well as induction of cell apoptosis . Parisi et al. showed that BzATP fails in inducing BDNF mRNA expression in primary microglia; besides, inhibitor of miR-125b administration significantly upregulated BDNF, with no direct dependence of BzATP. It suggests that the neuroprotective effect of miR-125b inhibition can be due to both downregulation of proinflammatory mediators and the stimulation of M2-activator parameters, such as BDNF in ALS . The expression levels of miR-1, miR-133a, miR-155, miR-206, and miR-378 for their role in the pathophysiological processes in ALS patients after the lineage-negative (Lin-) cells administration were investigated. Lin- cells’ administration increased expression of miR-206 and decreased miR-378 both in the CSF and plasma. On the other hand, no significant differences in the levels of NT (NGF and BDNF) growth factors were found neither before nor after Lin- cells transplantation. The study did not discuss the potential correlation between BDNF and alteration of miRNAs  (Table 1). To date, only one study with miR-125b showed the modulation of BDNF signaling of miRNAs in ALS. As the disease is incurable and death inevitable 3–5 years after the diagnosis, more extensive investigations are required in order to discover potential novel early biomarkers and therapeutics.
Multiple sclerosis (MS) is a progressive, chronic, autoimmune inflammatory and degenerative process that damages CSN. MS is characteristic for patients with the presence of plaques and lesions in the brain and spinal cord, primarily the white matter of the brain [3, 7, 85, 86]. The mechanism of MS development remains poorly understood.
BDNF and Multiple Sclerosis
A previous study utilized bone marrow chimeras and suggested that CNS resident cells are the main source of BDNF, which plays a neuroprotective role against autoimmune demyelination . However, it was suggested that the immune system provided both destructive and protective factors in MS and BDNF. Hence, the process may potentially act as an immune-mediated defense of neurons in MS lesions . A study by Stadelman et al. demonstrated that in MS lesions, BDNF is initially presented in T cells and macrophages, confirming the capability of the human immune system in producing BDNF. As higher levels of cytokines are a prominent feature in MS, they tend to negatively affect circulating BDNF levels . Low BDNF levels tend to correlate with high IL-6 levels and worse scores in cognitive tasks among MS individuals indicating . Collectively, both animal and human studies have displayed the ability and importance of BDNF to regulate CNS myelination in MS [91, 92].
BDNF Associated MicroRNAs in Multiple Sclerosis
Despite being studied for years, the cause of MS is still unknown. Studies showed that miRNAs are involved in physiological and pathological processes in MS . Over the past decade, many studies investigated miRNAs in MS patients. An overwhelming 500 miRNAs have been reported as dysregulated in MS. However, limited studies investigate the relationship of BDNF with miRNAs in MS .
In animal MS model, experimental autoimmune encephalomyelitis (EAE), the role of miR-155-5p in the pathogenesis of MS was shown. IL-17 cytokine microinjection to mice brain showed protective activity by indirectly decreasing miR-155-5p expression in animal model of MS. Importantly, a strong negative correlation between BDNF mRNA and miR-155-5p expression levels was found . Another study performed miRNA expression profiling on isolated splenocytes from 6 EAE mice compared to 6 controls. The microarray results showed that 9 miRNAs had different expressions between the groups. Two target genes of miR-125a and miR-99b were selected for further analysis—BDNF and leukemia inhibitory factor (LIF). Interestingly, an inverse correlation between miR-125a and BDNF and between LIF and miR-99b was observed .
The miRNA profiling was performed in brain specimens from 16 MS patients and 5 healthy donors. 15 miRNAs were significantly altered in MS patients and 14 different pathways were predicted to be altered due to differentially expressed miRNAs in MS patients (with the strongest correlation with MAPK pathway). Since miR-191 was the most significantly decreased miRNA in MS patients, target prediction was used to determine the potential targets of the miRNA. WSB1 gene (connected with ubiquitin-mediated proteolysis) and SOX4 mRNA (involved in TGF-ß signaling pathway) presented significantly negatively correlated with miR-191. As a summary, the study showed that BDNF mRNA transcripts were significantly reduced in the normal appearing white matter (NAWM) of MS patients and presented the significant inverse correlation with miR-191, which suggested that reduced miR-191 resulted in increased levels of BDNF . Further studies can consider using anti-miR-191 therapy in order to upregulate the BDNF levels since BDNF promotes neuronal growth and survival and has been demonstrated to be a potential therapy for decreasing neurodegeneration in MS .
Abovementioned, there are limited studies examining the relationship between BDNF levels and miRNA expression in MS. Looking to MS, miR-191 seemed to be the most attenuated, whereas in EAE mice, levels of miR-125a seemed to be of greater significance. Importantly, both miR-191 and miR-125 regulate oligodendrocyte maturation and myelination. Ultimately, further analysis is essential in order to establish the importance of these miRNAs in relation to BDNF.
Stroke is a major cause of death and disability globally and is the second most-common cause of death worldwide . Essentially, strokes result in a dysfunction of the areas of the brain that are deprived of oxygenated blood. During oxygen deficiency, neuronal networks are damaged, and patients suffer from an aphasia, impairment of sensation, later on movement and cognitive impairment [15, 98, 99].
BDNF and Ischemic Stroke
Recently published studies presented the crucial role of BDNF in ischemia, suggesting its correlation with post-stroke mobility. It was observed that BDNF levels during the first 24 h of stroke were significantly higher among patients under 65 years compared to older individuals. Additionally, low BDNF concentrations were associated with clinical status during 90-day follow-up . It shows that BDNF levels in the acute phase of ischemic stroke may possess a prognostic value for the functional status of the patient [8, 9]. Studies noted that deficiency of BDNF is related to more severe stroke pathophysiology, as BDNF has a crucial role in development of the nervous system as well as promoting neuronal differentiation, cellular survival, and neurogenesis [10, 101, 102].
BDNF Associated MicroRNAs in Ischemic Stroke
It is emerging in the literature on miRNAs as significant biomarkers in stroke . Low levels of serum miR-320b have shown to be an important risk factor for carotid atherosclerosis, a prodromic event that commonly leads to stroke . The upregulation of miR-146a has shown a significant link with neuroprotection from cerebral ischemia . The downregulation of miR-30a has shown to reduce ischemic injury by enhancing beclin-1-mediated autophagy . Clinical results discussing the relationship between BDNF and miRNAs in stroke in humans are very limited. Also, limited number of in vivo, in vitro, and in silico analysis showed the relation between miRNAs and BDNF in ischemic stroke.
Nguyen et al. aimed to investigate the importance of Let-7i in modulating the protective effect of progesterone in ischemia, as it is known that progesterone has neuroprotective function in ischemic stroke [106, 107]. Bioinformatic analysis was performed to select the miRNA; based on in silico prediction, they analyzed the effect of Let-7i on both progesterone receptor membrane component 1 (Pgrmc1—classical progesterone receptor and a multi-functional protein) and BDNF in animal model. The study showed that Let-7i mimic transfection reduced mRNA levels of both Pgrmc1 and BDNF. On the other hand, in in vivo model of ischemia, administration of both progesterone and antagomir-Let-7i (Let-7i inhibitor) regenerated Pgrmc1 expression and lead in a significant elevation in mature BDNF level, which promotes neuronal differentiation, cellular survival, synaptic plasticity, and neurogenesis, despite precursor BDNF (pro-BDNF) levels did not change significantly, which is linked with neuronal apoptosis [1, 106]. Thus, the combination of progesterone and antagomir-Let-7i administration decreased the ischemic injury and improved the motor function, most likely by indirectly increasing mature BDNF levels. Another study analyzed the function of BDNF on miRNA profiling in human endothelial progenitor cells (EPC) as these cells show protective effect against cerebral vascular integrity in brain endothelium after ischemia [108, 109]. Results showed that BDNF can inversely modulate the expression of miR-3928 and positively modulate miR-636 and miR-485-5p. Importantly, BDNF treatment significantly inhibited miR-433 and induced miR-181c concentration, which might improve regenerative effect of EPCs in ischemia .
The first study in humans which analyzed the relation between BDNF and miRNAs in ischemic stroke was conducted by Zeng et al. The study first examined circulating miRNA profiles in the ischemic stroke patients. Further, in silico analysis showed that hypoxia-related miR-210 is a target of BDNF gene. The study documented the improvement of long-term outcomes for stroke therapy following the delivery of lentivirus-mediated miR-210 to the ischemic brains of mice. MiR-210 upregulated mature-BDNF/pro-BDNF ratio shows that miR-210 can be a promising therapeutic approach for ischemic stroke . The latest human study results showed that BDNF serum levels were significantly lower in acute ischemic stroke patients compared to healthy individuals. Based on in silico prediction, miR-124 was identified responsible for regulating BDNF transcription which was further confirmed in vitro by using human neuronal cell lines. MiR-124 was higher in stroke patients and presented significant negative correlation between BDNF concentrations. Moreover, miR-124 levels correlated positively with stroke severity measured by National Institute of Health Stroke Scale (NIHSS) whereas BDNF correlated negatively with NIHSS score. This results indicates that (i) both miR-124 and BDNF can be a promising novel biomarker of ischemic stroke, (ii) miR-124 and BDNF could be a predictors of stroke severity, and (iii) inhibitor of miR-124 could be used as a potential approach for increasing BDNF serum levels . Another in silico prediction showed that miR-191a-5p may target neuronal calcium sensor 1 (NCS-1) and BDNF. Results confirmed that the NCS-1 3′UTR is a binding side for miR-191a-5p; however, results failed to display BDNF and its binding side for miR-191a-5p .
Several analytical strategies have been used in studies on ischemic stroke including in silico analysis with validation of the results in experimental models, or miRNA profiling approach with in silico analysis and validation of the results by using in vitro/in vivo analysis. Based on bioinformatic tool and in vitro/in vivo experiments, Let-7i and miR-124 were the most promising miRNA biomarkers for stroke severity. Importantly, miR-210 was identified as an important biomarker of ischemic stroke both in microarray analysis by using human blood as well as by using bioinformatic tool. Essentially, its positive effect was confirmed in animal model. Ultimately, further studies should focus on confirming the importance of these three promising miRNAs, i.e., Let-7i, miR-124, and miR-210 in ischemic stroke (Fig. 3, Table 1).
Is Targeted Delivery a Cure for Neurodegenerative and Neurovascular Diseases?
Among the various BDNF–miRNA interactions discussed above, some miRNAs expressed in neurological tissues or cells are able to up-/downregulate BDNF expression. MiR-206, being one of the most well-studied miRNAs in AD, has been described to be implicated in the pathogenesis of AD due to suppression of BDNF expression in the brain. Previous studies have found that both in animal models and human studies of AD, the level of miR-206 is increased in the brain tissue and may contribute to memory impairment by blocking BDNF expression [38, 40, 42]. Consequently, some animal studies have used antagomiR-206 (inhibitor of miR-206) as a treatment and it further ameliorated memory impairments and BDNF dysfunction. Published data have suggested that inhibitor of miR-206 can be a novel therapeutic approach for AD. Similarly, miR-30e has been studied intensively in PD. The miR-30e agomir significantly improved motor function and inhibited dopamine neurons depletion, specifically by targeting and decreasing the inflammasome activity of the protein coding gene, NLRP3. Further, the gene increased inflammatory cytokines, such as COX-2, TNF-α, and iNOS. Importantly, the miR-30e agomir treatment restored the reduced production of BDNF in SNpc. Ultimately, this may suggest that miR-30e can have a protective function against neurodegeneration by targeting BDNF in PD . However, these promising miRNAs targeted with BDNF have not been studied with other neurodegenerative diseases. Thus, further researchers should consider using these miRNA-based strategies in HD, ALS, MS, and ischemic stroke therapy. Currently, an effective cure for neurodegenerative diseases does not exist and, based on above described observations, an ideal solution to this issue at hand would be to develop targeted drug delivery of promising protective miRNAs or utilize miRNA inhibitors that are capable of inducing BDNF. New transport techniques such as nanospheres, nanovesicles, nanoparticles, and nanoexosomes could be a possible vehicle for the delivery of ago/antagomiRs in neurodegenerative tissues, which could then essentially regulate BDNF activity (Figs. 2 and 3).
Concluding Remarks and Limitations
One of the advantages offered by the use of both circulating and extracellular miRNAs, as disease biomarkers, is their ability to distinguish between different etiologies of many different types of cardiovascular diseases and cancers, including brain tumors as well as neurological disorders [113,114,115,116,117,118]. Moreover, studies showed that BDNF plays a crucial role in neurodegenerative disorders. Apart from neurodegenerative disorders, the importance of BDNF in many other diseases such as diabetes and cancer was also investigated [1, 119]. However, limited studies showed the BDNF–miRNA interactions and the modulation of BDNF signaling by miRNAs. Protein–RNA interaction-analyzing tools and techniques are useful in understanding how BDNF and miRNAs behave following neurodegeneration and neuroregeneration, as well as in learning, memory, and cognition. Understanding the role of BDNF–miRNA interactions and how they modulate regrowth or repair of the nervous tissue in the CNS and peripheral nervous system will be useful. Numerous studies have shown that several miRNAs could pose as promising diagnostic and prognostic biomarkers in neurodegenerative and neurovascular diseases. Limited studies provide promising miRNA-based novel treatments. The limitation of the collective literature so far is how exactly BDNF and miRNAs interact on a molecular level. Besides, many miRNAs are still yet to be studied. A myriad of questions remain, including (i) Do this interaction mutually activate/inactivate each other’s transcription? (ii) Which signaling pathway could be activated by BDNF-targeted miRNAs? and (iii) Do they bring about any epigenetic alterations in their respective miR-binding sites? This is the reason further analyses are needed to explain these questions. Moreover, computational approaches are an important and cost-effective step in understanding the regulatory role of miRNA and the identification of their targets. Due to a large number of targets of each miRNA, it is unrealistic to rely only on wet-lab biological experiments. Therefore, currently suggested is integrating in silico target predictions with the biological knowledge including expression datasets . This approach can be also useful in discovery of novel biomarkers and therapeutics. Using computational tools and tissue-specific expression profiles can help in identification of key regulators of the disease. In silico analysis should be performed to predict the novel miRNAs targeted to BDNF for neurodegenerative and neurovascular diseases; further experimental analysis should be performed for the validation of the prediction analysis.
Brain-derived neurotrophic factor
Central nervous system
Tropomyosin receptor kinase B
Amyotrophic lateral sclerosis
Nerve growth factor
cAMP response element-binding protein
Amyloid-beta 1–42 peptides
Mesenchymal stem cells
Dementia of Alzheimer’s disease type
Mild cognitive impairment
DNA methyltransferase 3
Amnestic mild cognitive impairment
Leucine-rich repeat kinase 2
- MPP+ :
Reactive oxygen species
Peroxisome proliferator-activated receptor alpha
Peroxisome proliferator-activated receptor
Substantia nigra pars compacta
NLR family pyrin domain containing 3
Ventromedial nucleus of the hypothalamus
RE1 silencing transcription factor
Experimental autoimmune encephalomyelitis
Leukemia inhibitory factor
Normal appearing white matter
Progesterone receptor membrane component 1
Endothelial progenitor cells
Neuronal calcium sensor 1
Eyileten C, Kaplon-Cieslicka A, Mirowska-Guzel D et al (2017) Antidiabetic effect of brain-derived neurotrophic factor and its association with inflammation in type 2 diabetes mellitus. J Diabetes Res 2017:1–14. https://doi.org/10.1155/2017/2823671
Eyileten C, Mirowska-Guzel D, Milanowski L et al (2019) Serum brain-derived neurotrophic factor is related to platelet reactivity and metformin treatment in adult patients with type 2 diabetes mellitus. Can J Diabetes 43:19–26. https://doi.org/10.1016/j.jcjd.2018.01.014
Eyileten C, Zaremba M, Janicki PK et al (2016) Serum brain-derived neurotrophic factor is related to platelet reactivity but not to genetic polymorphisms within BDNF encoding gene in patients with type 2 diabetes. Med Sci Monit 22:69–76. https://doi.org/10.12659/msm.895607
Mirowska-Guzel D (2009) The role of neurotrophic factors in the pathology and treatment of multiple sclerosis. Immunopharmacol Immunotoxicol 31:32–38. https://doi.org/10.1080/08923970802379819
Mirowska-Guzel D, Litwin T, Gromadzka G et al (2013) Influence of BDNF polymorphisms on Wilson’s disease susceptibility and clinical course. Metab Brain Dis 28:447–453. https://doi.org/10.1007/s11011-013-9399-x
Bawari S, Tewari D, Argüelles S et al (2019) Targeting BDNF signaling by natural products: novel synaptic repair therapeutics for neurodegeneration and behavior disorders. Pharmacol Res 148:104458. https://doi.org/10.1016/j.phrs.2019.104458
Mirowska-Guzel D, Mach A, Gromadzka G et al (2008) BDNF A196G and C270T gene polymorphisms and susceptibility to multiple sclerosis in the polish population. Gender differences. J Neuroimmunol 193:170–172. https://doi.org/10.1016/j.jneuroim.2007.10.013
Mirowska-Guzel D, Gromadzka G, Mendel T et al (2014) Impact of BDNF-196 G>A and BDNF-270 C>T polymorphisms on stroke rehabilitation outcome: sex and age differences. Top Stroke Rehabil 21:S33–S41. https://doi.org/10.1310/tsr21S1-S33
Mirowska-Guzel D, Gromadzka G, Seniow J et al (2013) Association between BDNF-196 G>A and BDNF-270 C>T polymorphisms, BDNF concentration, and rTMS-supported long-term rehabilitation outcome after ischemic stroke. NeuroRehabilitation 32:573–582. https://doi.org/10.3233/NRE-130879
Mirowska-Guzel D, Gromadzka G, Czlonkowski A, Czlonkowska A (2012) BDNF −270 C>T polymorphisms might be associated with stroke type and BDNF −196 G>A corresponds to early neurological deficit in hemorrhagic stroke. J Neuroimmunol 249:71–75. https://doi.org/10.1016/j.jneuroim.2012.04.011
Karthikeyan A, Patnala R, Jadhav SP et al (2016) MicroRNAs: key players in microglia and astrocyte mediated inflammation in cns pathologies. Curr Med Chem 23:3528–3546. https://doi.org/10.2174/0929867323666160814001040
Pordzik J, Jakubik D, Jarosz-Popek J et al (2019) Significance of circulating microRNAs in diabetes mellitus type 2 and platelet reactivity: bioinformatic analysis and review. Cardiovasc Diabetol 18:113. https://doi.org/10.1186/s12933-019-0918-x
Pordzik J, Pisarz K, De Rosa S et al (2018) The potential role of platelet-related microRNAs in the development of cardiovascular events in high-risk populations, including diabetic patients: a review. Front Endocrinol 9:74. https://doi.org/10.3389/fendo.2018.00074
Sabatino J, Wicik Z, De Rosa S et al (2019) MicroRNAs fingerprint of bicuspid aortic valve. J Mol Cell Cardiol 134:98–106. https://doi.org/10.1016/j.yjmcc.2019.07.001
Eyileten C, Wicik Z, De Rosa S et al (2018) MicroRNAs as diagnostic and prognostic biomarkers in ischemic stroke-a comprehensive review and bioinformatic analysis. Cells 7. https://doi.org/10.3390/cells7120249
Haqqani AS, Delaney CE, Tremblay T-L et al (2013) Method for isolation and molecular characterization of extracellular microvesicles released from brain endothelial cells. Fluids Barriers CNS 10:4. https://doi.org/10.1186/2045-8118-10-4
Chabior A, Pordzik J, Mirowska-Guzel D, Postuła M (2019) The role of acetylsalicylic acid and circulating microRNAs in primary prevention of cardiovascular events in patients with diabetes mellitus type 2 - a review. Ann Agric Environ Med 26:512–522. https://doi.org/10.26444/aaem/100391
Burns A, Iliffe S (2009) Alzheimer’s disease. BMJ 338:b158–b158. https://doi.org/10.1136/bmj.b158
Mufson EJ, Mahady L, Waters D et al (2015) Hippocampal plasticity during the progression of Alzheimer’s disease. Neuroscience 309:51–67. https://doi.org/10.1016/j.neuroscience.2015.03.006
Serrano-Pozo A, Frosch MP, Masliah E, Hyman BT (2011) Neuropathological alterations in Alzheimer disease. Cold Spring Harb Perspect Med 1:a006189. https://doi.org/10.1101/cshperspect.a006189
Yan Q, Rosenfeld RD, Matheson CR et al (1997) Expression of brain-derived neurotrophic factor protein in the adult rat central nervous system. Neuroscience 78:431–448. https://doi.org/10.1016/s0306-4522(96)00613-6
Angelucci F, Spalletta G, di Iulio F et al (2010) Alzheimer’s disease (AD) and mild cognitive impairment (MCI) patients are characterized by increased BDNF serum levels. Curr Alzheimer Res 7:15–20. https://doi.org/10.2174/156720510790274473
Gezen-Ak D, Dursun E, Hanağası H et al (2013) BDNF, TNFα, HSP90, CFH, and IL-10 serum levels in patients with early or late onset Alzheimer’s disease or mild cognitive impairment. J Alzheimers Dis 37:185–195. https://doi.org/10.3233/JAD-130497
Lee JG, Shin BS, You YS et al (2009) Decreased serum brain-derived neurotrophic factor levels in elderly korean with dementia. Psychiatry Investig 6:299–305. https://doi.org/10.4306/pi.2009.6.4.299
Budni J, Bellettini-Santos T, Mina F et al (2015) The involvement of BDNF, NGF and GDNF in aging and Alzheimer’s disease. Aging Dis 6:33. https://doi.org/10.14336/AD.2015.0825
Ng T, Ho C, Tam W et al (2019) Decreased serum brain-derived neurotrophic factor (BDNF) levels in patients with Alzheimer’s disease (AD): a systematic review and meta-analysis. Int J Mol Sci 20:257. https://doi.org/10.3390/ijms20020257
Qiu L, Tan EK, Zeng L (2015) microRNAs and neurodegenerative diseases. Adv Exp Med Biol:85–105. https://doi.org/10.1007/978-3-319-22671-2_6
Croce N, Gelfo F, Ciotti MT et al (2013) NPY modulates miR-30a-5p and BDNF in opposite direction in an in vitro model of Alzheimer disease: a possible role in neuroprotection? Mol Cell Biochem 376:189–195. https://doi.org/10.1007/s11010-013-1567-0
Mellios N, Huang H-S, Baker SP et al (2009) Molecular determinants of dysregulated GABAergic gene expression in the prefrontal cortex of subjects with schizophrenia. Biol Psychiatry 65:1006–1014. https://doi.org/10.1016/j.biopsych.2008.11.019
Wang W, Kwon EJ, Tsai L-H (2012) MicroRNAs in learning, memory, and neurological diseases. Learn Mem 19:359–368. https://doi.org/10.1101/lm.026492.112
Wanet A, Tacheny A, Arnould T, Renard P (2012) miR-212/132 expression and functions: within and beyond the neuronal compartment. Nucleic Acids Res 40:4742–4753. https://doi.org/10.1093/nar/gks151
Hernandez-Rapp J, Smith PY, Filali M et al (2015) Memory formation and retention are affected in adult miR-132/212 knockout mice. Behav Brain Res 287:15–26. https://doi.org/10.1016/j.bbr.2015.03.032
Kim W, Noh H, Lee Y et al (2016) MiR-126 regulates growth factor activities and vulnerability to toxic insult in neurons. Mol Neurobiol 53:95–108. https://doi.org/10.1007/s12035-014-8989-x
Sonntag KC, Woo T-UW, Krichevsky AM (2012) Converging miRNA functions in diverse brain disorders: a case for miR-124 and miR-126. Exp Neurol 235:427–435. https://doi.org/10.1016/j.expneurol.2011.11.035
Mufson EJ, Counts SE, Perez SE, Ginsberg SD (2008) Cholinergic system during the progression of Alzheimer’s disease: therapeutic implications. Expert Rev Neurother 8:1703–1718. https://doi.org/10.1586/14737220.127.116.113
Liu Z, Wang C, Wang X, Xu S (2015) Therapeutic effects of transplantation of As-MiR-937-expressing mesenchymal stem cells in murine model of Alzheimer’s disease. Cell Physiol Biochem 37:321–330. https://doi.org/10.1159/000430356
Zhang J, Liu Z, Pei Y et al (2018) MicroRNA-322 cluster promotes tau phosphorylation via targeting brain-derived neurotrophic factor. Neurochem Res 43:736–744. https://doi.org/10.1007/s11064-018-2475-1
Lee S-T, Chu K, Jung K-H et al (2012) miR-206 regulates brain-derived neurotrophic factor in Alzheimer disease model. Ann Neurol 72:269–277. https://doi.org/10.1002/ana.23588
Moon J, Lee S-T, Kong IG et al (2016) Early diagnosis of Alzheimer’s disease from elevated olfactory mucosal miR-206 level. Sci Rep 6. https://doi.org/10.1038/srep20364
Tian N, Cao Z, Zhang Y (2014) MiR-206 decreases brain-derived neurotrophic factor levels in a transgenic mouse model of Alzheimer’s disease. Neurosci Bull 30:191–197. https://doi.org/10.1007/s12264-013-1419-7
Wang C-N, Wang Y-J, Wang H et al (2017) The anti-dementia effects of donepezil involve miR-206-3p in the hippocampus and cortex. Biol Pharm Bull 40:465–472. https://doi.org/10.1248/bpb.b16-00898
Xie B, Liu Z, Jiang L et al (2016) Increased serum miR-206 level predicts conversion from amnestic mild cognitive impairment to Alzheimer’s disease: a 5-year follow-up study. J Alzheimers Dis 55:509–520. https://doi.org/10.3233/JAD-160468
Li W, Li X, Xin X et al (2016) MicroRNA-613 regulates the expression of brain-derived neurotrophic factor in Alzheimer’s disease. BioScience Trends 10:372–377. https://doi.org/10.5582/bst.2016.01127
Yang G, Song Y, Zhou X et al (2015) DNA methyltransferase 3, a target of microRNA-29c, contributes to neuronal proliferation by regulating the expression of brain-derived neurotrophic factor. Mol Med Rep 12:1435–1442. https://doi.org/10.3892/mmr.2015.3531
Jerónimo-Santos A, Vaz SH, Parreira S et al (2015) Dysregulation of TrkB receptors and BDNF function by amyloid-β peptide is mediated by calpain. Cereb Cortex 25:3107–3121. https://doi.org/10.1093/cercor/bhu105
Xie B, Liu Z, Jiang L et al (2017) Increased serum miR-206 level predicts conversion from amnestic mild cognitive impairment to Alzheimer’s disease: a 5-year follow-up study. J Alzheimers Dis 55:509–520. https://doi.org/10.3233/JAD-160468
Mhyre TR, Boyd JT, Hamill RW, Maguire-Zeiss KA (2012) Parkinson’s disease. Protein aggregation and fibrillogenesis in cerebral and systemic amyloid disease:389–455. https://doi.org/10.1007/978-94-007-5416-4_16
Ferreira RN, de Miranda AS, Rocha NP et al (2018) Neurotrophic factors in Parkinson’s disease: what have we learned from pre-clinical and clinical studies? Curr Med Chem 25:3682–3702. https://doi.org/10.2174/0929867325666180313101536
Ventriglia M, Zanardini R, Bonomini C et al (2013) Serum brain-derived neurotrophic factor levels in different neurological diseases. Biomed Res Int 2013:901082. https://doi.org/10.1155/2013/901082
Palasz E, Wysocka A, Gasiorowska A et al (2020) BDNF as a promising therapeutic agent in Parkinson’s disease. Int J Mol Sci 21:1170. https://doi.org/10.3390/ijms21031170
Razgado-Hernandez LF, Espadas-Alvarez AJ, Reyna-Velazquez P et al (2015) The transfection of BDNF to dopamine neurons potentiates the effect of dopamine D3 receptor agonist recovering the striatal innervation, dendritic spines and motor behavior in an aged rat model of Parkinson’s disease. PLoS One 10:e011739. https://doi.org/10.1371/journal.pone.0117391
Martinez B, Peplow PV (2017) MicroRNAs in Parkinson’s disease and emerging therapeutic targets. Neural Regen Res 12:1945–1959. https://doi.org/10.4103/1673-5374.221147
Cho HJ, Liu G, Jin SM et al (2013) MicroRNA-205 regulates the expression of Parkinson’s disease-related leucine-rich repeat kinase 2 protein. Hum Mol Genet 22:608–620. https://doi.org/10.1093/hmg/dds470
Delavar MR, Baghi M, Safaeinejad Z et al (2018) Differential expression of miR-34a, miR-141, and miR-9 in MPP -treated differentiated PC12 cells as a model of Parkinson’s disease. Gene 662:54–65. https://doi.org/10.1016/j.gene.2018.04.010
Li D, Yang H, Ma J et al (2018) MicroRNA-30e regulates neuroinflammation in MPTP model of Parkinson’s disease by targeting Nlrp3. Hum Cell 31:106–115. https://doi.org/10.1007/s13577-017-0187-5
Wu X, Ji H, Wang Y et al (2019) Melatonin alleviates radiation-induced lung injury via regulation of miR-30e/NLRP3 axis. Oxidative Med Cell Longev 2019:4087298. https://doi.org/10.1155/2019/4087298
Xu B, Goulding EH, Zang K et al (2003) Brain-derived neurotrophic factor regulates energy balance downstream of melanocortin-4 receptor. Nat Neurosci 6:736–742. https://doi.org/10.1038/nn1073
Noble EE, Billington CJ, Kotz CM, Wang C (2011) The lighter side of BDNF. Am J Phys Regul Integr Comp Phys 300:R1053–R1069. https://doi.org/10.1152/ajpregu.00776.2010
Sangiao-Alvarellos S, Pena-Bello L, Manfredi-Lozano M et al (2014) Perturbation of hypothalamic microRNA expression patterns in male rats after metabolic distress: impact of obesity and conditions of negative energy balance. Endocrinology 155:1838–1850. https://doi.org/10.1210/en.2013-1770
Fu Y, Zhen J, Lu Z (2017) Synergetic neuroprotective effect of docosahexaenoic acid and aspirin in SH-Y5Y by inhibiting miR-21 and activating RXRα and PPARα. DNA Cell Biol 36:482–489. https://doi.org/10.1089/dna.2017.3643
Walker FO (2007) Huntington’s disease. Lancet 369:218–228. https://doi.org/10.1016/S0140-6736(07)60111-1
Yang M, Moon C, Kim J et al (2017) Brain-derived neurotropic factor and GABAergic transmission in neurodegeneration and neuroregeneration. Neural Regen Res 12:1733. https://doi.org/10.4103/1673-5374.217353
Yu C, Li CH, Chen S et al (2018) Decreased BDNF release in cortical neurons of a knock-in mouse model of Huntington’s disease. Sci Rep 8. https://doi.org/10.1038/s41598-018-34883-w
Zuccato C, Cattaneo E (2007) Role of brain-derived neurotrophic factor in Huntington’s disease. Prog Neurobiol 81:294–330. https://doi.org/10.1016/j.pneurobio.2007.01.003
Zuccato C, Tartari M, Crotti A et al (2003) Huntingtin interacts with REST/NRSF to modulate the transcription of NRSE-controlled neuronal genes. Nat Genet 35:76–83. https://doi.org/10.1038/ng1219
Konovalova J, Gerasymchuk D, Parkkinen I et al (2019) Interplay between microRNAs and oxidative stress in neurodegenerative diseases. Int J Mol Sci 20. https://doi.org/10.3390/ijms20236055
Jovicic A, Jolissaint JFZ, Moser R et al (2013) MicroRNA-22 (miR-22) Overexpression is neuroprotective via general anti-apoptotic effects and may also target specific Huntington’s disease-related mechanisms. PLoS One 8:e54222. https://doi.org/10.1371/journal.pone.0054222
Johnson R, Zuccato C, Belyaev ND et al (2008) A microRNA-based gene dysregulation pathway in Huntington’s disease. Neurobiol Dis 29:438–445. https://doi.org/10.1016/j.nbd.2007.11.001
Buckley NJ, Johnson R, Zuccato C et al (2010) The role of REST in transcriptional and epigenetic dysregulation in Huntington’s disease. Neurobiol Dis 39:28–39. https://doi.org/10.1016/j.nbd.2010.02.003
Bithell A, Johnson R, Buckley NJ (2009) Transcriptional dysregulation of coding and non-coding genes in cellular models of Huntington’s disease. Biochem Soc Trans 37:1270–1275. https://doi.org/10.1042/BST0371270
Müller S (2014) In silico analysis of regulatory networks underlines the role of miR-10b-5p and its target BDNF in huntington’s disease. Transl Neurodegener 3. https://doi.org/10.1186/2047-9158-3-17
Henriques, Henriques (2010) Neurotrophic growth factors for the treatment of amyotrophic lateral sclerosis: where do we stand ? Front Neurosci. https://doi.org/10.3389/fnins.2010.00032
Wilhelm JC, Xu M, Cucoranu D et al (2012) Cooperative roles of BDNF expression in neurons and Schwann cells are modulated by exercise to facilitate nerve regeneration. J Neurosci 32:5002–5009. https://doi.org/10.1523/JNEUROSCI.1411-11.2012
Vögelin E, Baker JM, Gates J et al (2006) Effects of local continuous release of brain derived neurotrophic factor (BDNF) on peripheral nerve regeneration in a rat model. Exp Neurol 199:348–353. https://doi.org/10.1016/j.expneurol.2005.12.029
Schiaffino L, Bonafede R, Scambi I et al (2018) Acetylation state of RelA modulated by epigenetic drugs prolongs survival and induces a neuroprotective effect on ALS murine model. Sci Rep 8:12875. https://doi.org/10.1038/s41598-018-30659-4
Shruthi S, Sumitha R, Varghese AM et al (2017) Brain-derived neurotrophic factor facilitates functional recovery from ALS-cerebral spinal fluid-induced neurodegenerative changes in the NSC-34 motor neuron cell line. Neurodegener Dis 17:44–58. https://doi.org/10.1159/000447559
Ochs G, Penn RD, York M et al (2000) A phase I/II trial of recombinant methionyl human brain derived neurotrophic factor administered by intrathecal infusion to patients with amyotrophic lateral sclerosis. Amyotroph Lateral Scler Other Motor Neuron Disord 1:201–206. https://doi.org/10.1080/14660820050515197
Foggin S, Mesquita-Ribeiro R, Dajas-Bailador F, Layfield R (2019) Biological significance of microRNA biomarkers in ALS-innocent bystanders or disease culprits? Front Neurol 10:578. https://doi.org/10.3389/fneur.2019.00578
Rizzuti M, Filosa G, Melzi V et al (2018) MicroRNA expression analysis identifies a subset of downregulated miRNAs in ALS motor neuron progenitors. Sci Rep 8:10105. https://doi.org/10.1038/s41598-018-28366-1
Kovanda A, Leonardis L, Zidar J et al (2018) Differential expression of microRNAs and other small RNAs in muscle tissue of patients with ALS and healthy age-matched controls. Sci Rep 8:5609. https://doi.org/10.1038/s41598-018-23139-2
Parisi C, Napoli G, Amadio S et al (2016) MicroRNA-125b regulates microglia activation and motor neuron death in ALS. Cell Death Differ 23:531–541. https://doi.org/10.1038/cdd.2015.153
Parisi C, Napoli G, Pelegrin P, Volonté C (2016) M1 and M2 functional imprinting of primary microglia: role of P2X7 activation and miR-125b. Mediat Inflamm 2016:2989548. https://doi.org/10.1155/2016/2989548
Yiangou Y, Facer P, Durrenberger P et al (2006) COX-2, CB2 and P2X7-immunoreactivities are increased in activated microglial cells/macrophages of multiple sclerosis and amyotrophic lateral sclerosis spinal cord. BMC Neurol 6:12. https://doi.org/10.1186/1471-2377-6-12
Sobuś A, Baumert B, Litwińska Z et al (2018) Safety and feasibility of lin- cells administration to ALS patients: a novel view on humoral factors and miRNA profiles. Int J Mol Sci 19:1312. https://doi.org/10.3390/ijms19051312
Chmielewska N, Szyndler J, Makowska K et al (2018) Looking for novel, brain-derived, peripheral biomarkers of neurological disorders. Neurol Neurochir Pol 52:318–325. https://doi.org/10.1016/j.pjnns.2018.02.002
Ksiazek-Winiarek DJ, Szpakowski P, Glabinski A (2015) Neural plasticity in multiple sclerosis: the functional and molecular background. Neural Plast 2015:307175. https://doi.org/10.1155/2015/307175
Lee D-H, Geyer E, Flach A-C et al (2012) Central nervous system rather than immune cell-derived BDNF mediates axonal protective effects early in autoimmune demyelination. Acta Neuropathol 123:247–258. https://doi.org/10.1007/s00401-011-0890-3
Stadelmann C, Kerschensteiner M, Misgeld T et al (2002) BDNF and gp145trkB in multiple sclerosis brain lesions: neuroprotective interactions between immune and neuronal cells? Brain 125:75–85. https://doi.org/10.1093/brain/awf015
Sorenson M (2013) Brain derived neurotrophic factor is decreased in chronic fatigue syndrome and multiple sclerosis. J Neurol Neurophysiol s12. https://doi.org/10.4172/2155-9562.S12-013
Patanella AK, Zinno M, Quaranta D et al (2010) Correlations between peripheral blood mononuclear cell production of BDNF, TNF-alpha, IL-6, IL-10 and cognitive performances in multiple sclerosis patients. J Neurosci Res 88:1106–1112. https://doi.org/10.1002/jnr.22276
Fletcher J, Murray S, Xiao J (2018) Brain-derived neurotrophic factor in central nervous system myelination: a new mechanism to promote myelin plasticity and repair. Int J Mol Sci 19:4131. https://doi.org/10.3390/ijms19124131
KhorshidAhmad T, Acosta C, Cortes C et al (2016) Transcriptional regulation of brain-derived neurotrophic factor (BDNF) by methyl CpG binding protein 2 (MeCP2): a novel mechanism for re-myelination and/or myelin repair involved in the treatment of multiple sclerosis (MS). Mol Neurobiol 53:1092–1107. https://doi.org/10.1007/s12035-014-9074-1
Martinez B, Peplow PV (2020) MicroRNAs in blood and cerebrospinal fluid as diagnostic biomarkers of multiple sclerosis and to monitor disease progression. Neural Regen Res 15:606–619. https://doi.org/10.4103/1673-5374.266905
Ksiazek-Winiarek D, Szpakowski P, Turniak M et al (2017) IL-17 Exerts anti-apoptotic effect via miR-155-5p downregulation in experimental autoimmune encephalomyelitis. J Mol Neurosci 63:320–332. https://doi.org/10.1007/s12031-017-0981-2
Venkatesha S, Dudics S, Song Y et al (2018) The miRNA expression profile of experimental autoimmune encephalomyelitis reveals novel potential disease biomarkers. Int J Mol Sci 19:3990. https://doi.org/10.3390/ijms19123990
Guerau-de-Arellano M, Liu Y, Meisen WH et al (2015) Analysis of miRNA in normal appearing white matter to identify altered CNS pathways in multiple sclerosis. J Autoimmune Disord 1. https://doi.org/10.21767/2471-8153.100006
Janicki P, Eyileten C, Ruiz-Velasco V et al (2019) Increased burden of rare deleterious variants of the KCNQ1 gene in patients with large-vessel ischemic stroke. Mol Med Rep. https://doi.org/10.3892/mmr.2019.9987
Janicki PK, Eyileten C, Ruiz-Velasco V et al (2017) Population-specific associations of deleterious rare variants in coding region of P2RY1-P2RY12 purinergic receptor genes in large-vessel ischemic stroke patients. Int J Mol Sci 18. https://doi.org/10.3390/ijms18122678
Postula M, Janicki PK, Milanowski L et al (2017) Association of frequent genetic variants in platelet activation pathway genes with large-vessel ischemic stroke in Polish population. Platelets 28:66–73. https://doi.org/10.1080/09537104.2016.1203404
Lasek-Bal A, Jędrzejowska-Szypułka H, Różycka J et al (2015) Low concentration of BDNF in the acute phase of ischemic stroke as a factor in poor prognosis in terms of functional status of patients. Med Sci Monit 21:3900–3905. https://doi.org/10.12659/msm.895358
Miranda M, Morici JF, Zanoni MB, Bekinschtein P (2019) Brain-derived neurotrophic factor: a key molecule for memory in the healthy and the pathological brain. Front Cell Neurosci 13:363. https://doi.org/10.3389/fncel.2019.00363
Chan A, Yan J, Csurhes P et al (2015) Circulating brain derived neurotrophic factor (BDNF) and frequency of BDNF positive T cells in peripheral blood in human ischemic stroke: effect on outcome. J Neuroimmunol 286:42–47. https://doi.org/10.1016/j.jneuroim.2015.06.013
Zhang R, Qin Y, Zhu G et al (2016) Low serum miR-320b expression as a novel indicator of carotid atherosclerosis. J Clin Neurosci 33:252–258. https://doi.org/10.1016/j.jocn.2016.03.034
Zhou X, Su S, Li S et al (2016) MicroRNA-146a down-regulation correlates with neuroprotection and targets pro-apoptotic genes in cerebral ischemic injury in vitro. Brain Res 1648:136–143. https://doi.org/10.1016/j.brainres.2016.07.034
Wang P, Liang J, Li Y et al (2014) Down-regulation of miRNA-30a alleviates cerebral ischemic injury through enhancing beclin 1-mediated autophagy. Neurochem Res 39:1279–1291. https://doi.org/10.1007/s11064-014-1310-6
Nguyen T, Su C, Singh M (2018) Let-7i inhibition enhances progesterone-induced functional recovery in a mouse model of ischemia. Proc Natl Acad Sci 115:E9668–E9677. https://doi.org/10.1073/pnas.1803384115
Zhao Y, Wang J, Liu C, et al (2011) Progesterone influences postischemic synaptogenesis in the CA1 region of the hippocampus in rats. Synapse 65:880–891. https://doi.org/10.1002/syn.20915
He T, Sun R, Li Y, Katusic ZS (2018) Effects of brain-derived neurotrophic factor on microRNA expression profile in human endothelial progenitor cells. Cell Transplant 27:1005–1009. https://doi.org/10.1177/0963689718761658
Rouhl RPW, van Oostenbrugge RJ, Damoiseaux J et al (2008) Endothelial progenitor cell research in stroke: a potential shift in pathophysiological and therapeutical concepts. Stroke 39:2158–2165. https://doi.org/10.1161/STROKEAHA.107.507251
Zeng L-L, He X-S, Liu J-R et al (2016) Lentivirus-mediated overexpression of microRNA-210 improves long-term outcomes after focal cerebral ischemia in mice. CNS Neurosci Ther 22:961–969. https://doi.org/10.1111/cns.12589
Wang J, Huang Q, Ding J, Wang X (2019) Elevated serum levels of brain-derived neurotrophic factor and miR-124 in acute ischemic stroke patients and the molecular mechanism. 3 Biotech 9:386. https://doi.org/10.1007/s13205-019-1914-2
Zhou H, Yang C, Bai F et al (2017) Electroacupuncture alleviates brain damage through targeting of neuronal calcium sensor 1 by miR-191a-5p after ischemic stroke. Rejuvenation Res 20:492–505. https://doi.org/10.1089/rej.2017.1920
Ikonomidis JS, Ivey CR, Wheeler JB et al (2013) Plasma biomarkers for distinguishing etiologic subtypes of thoracic aortic aneurysm disease. J Thorac Cardiovasc Surg 145:1326–1333. https://doi.org/10.1016/j.jtcvs.2012.12.027
Punga T, Bartoccioni E, Lewandowska M et al (2016) Disease specific enrichment of circulating let-7 family microRNA in MuSK+ myasthenia gravis. J Neuroimmunol 292:21–26. https://doi.org/10.1016/j.jneuroim.2016.01.003
Sartorius K, Sartorius B, Kramvis A et al (2017) Circulating microRNA’s as a diagnostic tool for hepatocellular carcinoma in a hyper endemic HIV setting, KwaZulu-Natal, South Africa: a case control study protocol focusing on viral etiology. BMC Cancer 17:894. https://doi.org/10.1186/s12885-017-3915-z
De Rosa S, Eposito F, Carella C et al (2018) Transcoronary concentration gradients of circulating microRNAs in heart failure. Eur J Heart Fail 20:1000–1010. https://doi.org/10.1002/ejhf.1119
Di Ieva A, Butz H, Niamah M, et al (2014) MicroRNAs as biomarkers in pituitary tumors. Neurosurgery 75:181–189; discussion 188–9. https://doi.org/10.1227/NEU.0000000000000369
Xiao F, Lv S, Zong Z et al (2020) Cerebrospinal fluid biomarkers for brain tumor detection: clinical roles and current progress. Am J Transl Res 12:1379–1396
Guzel T, Mech K, Wroński M et al (2020) Brain-derived neurotrophic factor in gastroenterology oncology – short review of current literature. Ann Agric Environ Med. https://doi.org/10.26444/aaem/122628
Zhang W, Le TD, Liu L et al (2016) Predicting miRNA targets by integrating gene regulatory knowledge with expression profiles. PLoS One 11:e0152860. https://doi.org/10.1371/journal.pone.0152860
This paper was written as a part of cooperation of the international scientific group I-COMET (Intercontinental Cardiovascular and Cardiometabolic Research Team).
CE, LS, and MP contributed to the data collection and elaboration, writing and approval of manuscript, and are guarantor of the article. DJ, AS, AC, JJP, AKC, DMG, and ZW contributed discussion and writing and approval of manuscript. JJP contributed valuable revision of manuscript. CE and ZW contributed valuable contributions to graphical designs. The corresponding author attests that all listed authors meet authorship criteria and that no others meeting the criteria have been omitted.
The work was supported financially as part of the research grant “Preludium” from the National Science Center, Poland (grant number 2017/25/N/NZ5/00545) and internal funding of the Department of Experimental and Clinical Pharmacology, Medical University of Warsaw, Centre for Preclinical Research and Technology CEPT, Warsaw, Poland.
Conflict of Interest
The authors declare that there are no conflicts of interest.
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
• For the first time, BDNF–miRNA interactions (the modulation of BDNF signaling by miRNAs) in selected neurodegenerative and neurovascular diseases were comprehensively discussed.
• The importance of many miRNAs and the promising therapeutic value of ago/antagomiRs were reviewed in central nervous system disorders.
About this article
Cite this article
Eyileten, C., Sharif, L., Wicik, Z. et al. The Relation of the Brain-Derived Neurotrophic Factor with MicroRNAs in Neurodegenerative Diseases and Ischemic Stroke. Mol Neurobiol 58, 329–347 (2021). https://doi.org/10.1007/s12035-020-02101-2