Next Article in Journal
All Quiet on the TE Front? The Role of Chromatin in Transposable Element Silencing
Previous Article in Journal
Targeting Hydrogen Sulfide Modulates Dexamethasone-Induced Muscle Atrophy and Microvascular Rarefaction, through Inhibition of NOX4 and Induction of MGF, M2 Macrophages and Endothelial Progenitors
Previous Article in Special Issue
Role of Cytoskeletal Diaphanous-Related Formins in Hearing Loss
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Review

Neurons: The Interplay between Cytoskeleton, Ion Channels/Transporters and Mitochondria

1
Experimental Neurology Unit, School of Medicine and Surgery, University of Milano-Bicocca, 20900 Monza, Italy
2
NeuroMI (Milan Centre for Neuroscience), 20126 Milan, Italy
*
Author to whom correspondence should be addressed.
Cells 2022, 11(16), 2499; https://doi.org/10.3390/cells11162499
Submission received: 19 April 2022 / Revised: 6 August 2022 / Accepted: 9 August 2022 / Published: 11 August 2022
(This article belongs to the Special Issue The Cytoskeleton: Structural, Functional, and Pathological Aspects)

Abstract

:
Neurons are permanent cells whose key feature is information transmission via chemical and electrical signals. Therefore, a finely tuned homeostasis is necessary to maintain function and preserve neuronal lifelong survival. The cytoskeleton, and in particular microtubules, are far from being inert actors in the maintenance of this complex cellular equilibrium, and they participate in the mobilization of molecular cargos and organelles, thus influencing neuronal migration, neuritis growth and synaptic transmission. Notably, alterations of cytoskeletal dynamics have been linked to alterations of neuronal excitability. In this review, we discuss the characteristics of the neuronal cytoskeleton and provide insights into alterations of this component leading to human diseases, addressing how these might affect excitability/synaptic activity, as well as neuronal functioning. We also provide an overview of the microscopic approaches to visualize and assess the cytoskeleton, with a specific focus on mitochondrial trafficking.

1. Introduction

Neurons are perennial cells entitled to signal transmission, and their morphological and functional organization is suited to this task. In fact, neurons have developed a very polarized structure (with different functions for dendrites and axons) and have a key physiological feature, excitability, which allows them to build networks exploited for signal transmission [1]. As perennial cells [2], unable to replicate and stuck in the G0 phase of the cell cycle [3], this polarized structure and the correct neuronal functioning should be tightly controlled and preserved, with multiple checkpoint mechanisms and a relevant energy consumption.

2. Neurons and Their Cytoskeleton

Neurons are able to build a very complex and specialized network, where synapses are pivotal for signal transmission, and it is essential that all the cellular components (neurotransmitter vesicles, voltage-gated channels, etc.) produced in the soma can reach dendrites and axons [4]. Since this task is energy-consuming, mitochondria play a crucial role [5]. Moreover, to maintain neuronal functioning each cellular compartment must be easily reached, and the different components of the neuronal cytoskeleton are responsible for this [6,7,8]. Briefly, there are three main components in the cytoskeleton: microtubules, microfilaments, and intermediate filaments [6]. Microtubules are composed by the assembly of dimeric units of α- and β- tubulin that form cylindrical structures of about 25 nm of diameter. Microfilaments are polymers of the monomeric protein actin, with a diameter of about 7 nm, while intermediate filaments differ from one cell to another, and they have a diameter of about 10 nm [7]. These components are responsible for both the structural integrity of the cell and for dynamic events such as axonal transport.
Microtubules and microfilaments are very dynamic structures, able to change their composition and assembly in response to cellular needs, and perturbations in functioning are at the basis of several human diseases, as exemplified in subsequent Section 5.
Both microtubules and microfilaments are polarized polymers with a plus-end and a minus-end, and they are essential for the elongation of dendrites and axons [6,7,8]. Moreover, microtubules are important to determine neurons’ polarity. During the early stages of development, neurons have a rounded shape, which is progressively modified allowing elongation of long axons, and finally the appearance of an arborized dendritic tree [7,8]. Although microtubules support elongation of both axons and dendrites, there is a difference in their organization. In particular, in the axon, the minus-ends of microtubules are always oriented toward the cell body, while the plus-ends toward the periphery. On the contrary, in the dendrites, the microtubule polarity is not so strictly determined [6,7,8]. The different microtubule organization contributes to determining the fate of the neurite (being a dendrite versus an axon) [9,10]. Actin microfilaments concur with this process too [6,7,8,11]. The microfilaments network is a very dynamic structure composed by actin polymers, able to interact with different associated actin binding proteins. They enable the formation of two different structures: actin-rings and actin patches [8]. Ring-like structures are responsible for the mechanical support and for the distribution of important membrane proteins, such as voltage-gated channels [12] and ionic pumps, in order to create an electrochemical gradient between the two sides of the plasmalemma. On the contrary, actin patches seem to be important in anchoring vesicles and organelles [13].
Besides neuronal shape and polarity, microtubules are also in charge of transporting molecules and organelles from the cell body to the periphery (anterograde transport), and vice versa (retrograde transport) [14,15,16]. Anterograde transport depends on kinesins, motor proteins that move toward the plus-end of microtubules and it is crucial to the distribution of proteins customized at the level of the soma (such as neurotransmitters and other synaptic components) towards the periphery; it can be distinguished into fast and slow types [14]. Dynein is the motor protein responsible for retrograde transport, which is exclusively a fast transport which allows the neuron body to receive stimuli coming from its terminal endings [14]. The retrograde transport is also involved in neuronal survival, allowing a feedback signal to the neuron body via neurotrophic factors [14,15]. Table 1 gives an overview of the cytoskeleton’s role in protein trafficking.
The cytoskeleton is essential for the proper functioning of mitochondria [4,5], that are crucial elements for neurons, which are high energy-demanding cells. Mitochondria are pivotal for cell bioenergetics, and in fully differentiated neurons they are entitled to efficiently produce ATP via OXPHOS, thanks to ETP and ATP synthase [22]. However, mitochondria are also involved in other fundamental neuronal processes, such as calcium signaling, trafficking and apoptosis, exploiting their communication with endoplasmic reticulum and lysosomes [23]. To fulfil their role, mitochondria are entitled to a lively and dynamic trafficking, which makes their interaction with the cytoskeleton fundamental. In particular, axons and the presynaptic area have relevant energetic demands and require a balanced regulation of calcium ions, provided by mitochondrial trafficking and functioning [24]. To allow mitochondria to move back and forward, or even stop in a precise area [5,25], the role of microtubule motors is essential, and they are scaffolded on mitochondria via the interaction between Miro proteins and the motor-biding proteins TRAK and metaxins (MTX) [24,26]. Miro proteins are calcium-sensitive GTPase which are located in the outer membrane of mitochondria and are in charge of both long-distance mitochondrial transportation and mitochondrial anchoring in sites where high local energy levels are required [27] TRAK1 and TRAK2 are dynein-activating adaptors [26,28,29] which are also able to bind kinesin [26,30] and it was shown in vitro that they are able to activate kinesin and dynein motility [26,29,31,32]. MTX are proteins located in the outer mitochondrial membrane that were first described as being involved in protein importing in mitochondria [33,34]; however, it was later demonstrated that they are also a core component of mitochondrial adaptor complexes [35]. In line with this observation, TRAK1/2 or MTX1/2 knockdown in human neurons alters both anterograde and retrograde mitochondrial motility [35]. If transportation is important, the same is also true for mitochondrial docking, particularly in the presynaptic sites [5,25]. Local anchoring is obtained via associations with the microtubule or actin cytoskeleton [36,37]. At the presynaptic level, syntaphilin can stop mitochondrial transportation, acting as a microtubule-binding protein, either associating with mitochondrial outer membrane and/or sterically inhibiting kinesin interaction with microtubules [36,37]. Moreover, local energy demands can promote mitochondrial halting: if there is a local increase in glucose concentrations, TRAK 1/2 O-GlcNAlation takes place resulting in TRAK1 interaction with the acting-binding protein FHL2 [38]. Another possible mechanism is related to the effects of calcium on Miro; calcium binding reduces transport, even if the exact sequence of actions that lead to this effect is still a matter of debate [39]. These strategies to mobilize/dock mitochondria are not a specific feature of mitochondria, but it is part of the general mechanism neurons undertake to mobilize vesicles [40] and organelles; similar mechanisms were in fact described for other subcellular components as observed in old studies on the giant squid axon [41,42,43].

3. Cytoskeleton, Neuronal Excitability and Ion Channels

As anticipated, one of the key neuronal features is the ability to transmit a signal. Briefly, a stimulus, able to evoke an action potential (AP) determines a membrane voltage gradient able to propagate through the axon thanks to stereotyped phenomena occurring with a perfectly timed and ordered activation of voltage-gated ion-channels (i.e., sodium and potassium ones), at the cost of energy granted by the transmembrane ATPase Na+/K+ pump [44]. The membrane gradient potential made up by the Na+/K+ pump is the essential precondition for signal transmission, together with the constant availability of ATP molecules, as an ATPase pump. Since neurons cannot stock glucose (differently, for instance, from muscle cells which can store it as glycogen), they are strongly dependent on the blood flow to obtain ATP. Moreover, to maximize the ATP production from glucose, neurons must exploit oxidative phosphorylation, meaning that they also need both O2, again through the blood flow, and a high number of mitochondria to achieve an adequate level of energy production [44]. Therefore, for signal transmission, the aforementioned role of the cytoskeleton in supervising mitochondrial functioning and axonal transport is crucial. However, the cytoskeleton plays an even more dynamic role in neuronal transmission given some notable interactions with ion channels and receptors involved in AP generation/propagation and synaptic transmission. In particular, actin is a pivotal element not only for structural stability but also for the regulation of ion channels, transporters, and receptors modulating their expression on cellular surface and/or intracellular trafficking [45]. Notably, the relationship works also on the reverse: several ion channels have been demonstrated to influence cortical actin networks (e.g., voltage-gated potassium channels) [45]. An overview of the basic element and mechanisms related to neuronal excitability is presented here, laying the ground for the exploration in future research related to human diseases, as better exemplified in Section 5. Ion channel trafficking and clustering is crucial in the generation of AP, in particular at the axonal initial segment (i.e., a 10–60 um unmyelinated located at the proximal axon/soma interface) and at the node of Ranvier, as well as the synaptic membrane. In fact, the axon hillock is not involved in AP initiation and, therefore, the spatial localization at the level of the axonal initial segment and at the node, guaranteed by the mechanical and transport functions of the cytoskeleton network, plays a pivotal role in the generation of the AP. Ankyrins and actin-spectrin cytoskeleton are in charge of this task, with a contribution from the adaptor proteins (e.g., ankyrin G, syntrophin) and adhesion molecules [46,47]. As sodium and potassium voltage-operated ion channels (Na-VOC and K-VOC, respectively) are pivotal in AP generation [48], a more detailed insights on their relationship with the cytoskeleton is necessary. Na-VOC channel clustering, in sites of AP initiation, is established by specific membrane cytoskeleton actin-spectrin modules [49,50,51]; the former is linked to an adaptor, the ankyrin-G, that connects the actin-spectrin modules to Na-VOC channels, neurofascin 186 (a L1 family cell adhesion molecule), and K-VOC subunits, KCNQ2 and KCNQ3 [52,53,54]. The presence of KCNQ2 and KCNQ3, guaranteed by the cytoskeleton, is fundamental to modulate excitability at the axonal initial segment and at the node of Ranvier [55,56,57]. The relevance of Na-VOC and K-VOC localization and, therefore, their correct functioning in these sites, is supported by the observation that mutations leading to altered Na-VOC and K-VOC channels at axonal initial segment disrupt neuronal excitability; a fair example of this dysfunction is given by recurrent epileptic seizures in case their anatomical configuration is altered [58,59]. Data emerged from in vitro and in vivo studies elucidated the molecular mechanisms by which ankyrin-G clusters mammalian K-VOC and Na-VOC, the latter being characterized by cytoplasmic anchor motifs which are crucial for their localization at the axonal initial segment [53,60,61]. Ankyrin-G is characterized by a membrane interaction domain (24 solenoidal ankyrin repeats are described) and it was suggested via mutagenesis experiments that ankyrin-G repeats 13–15 are responsible for the interaction with the Na-VOC anchor [60,61,62]. A similar interaction was suggested for K-VOC3 anchor sequences [50,54,58]. Most notably, in the peripheral nervous system, clustering at nodal level has been strongly linked to gliomedin secreted by Schwann cells, and the axonal cell adhesion molecule neurofascin-186 [63,64]. Only after this initial event, cytoskeletal and scaffolding proteins ankyrin, as well as βIV spectrin, are recruited to nodes to allow channels binding necessary for AP [60]. The axonal initial segment molecular composition is fairly similar to the node and these similarities suggested that their formation might be the same [65], with the difference that in this case the extracellular matrix is thought to contribute, thanks to a specialized brevican-containing matrix. Alternatively, ankyrin-G was once again suggested as crucial [53,60,61], and its role is further supported by experimental evidence since ankyrin-G lacking mice showed a deranged axonal initial segment ion channel clustering in Purkinje cells [53,66]. Nevertheless, other components seem to be implicated since βIV spectrin loss was also linked to altered axonal initial segment clustering [67].
Apart from Na-VOC and K-VOC, other channels/transporters have a lively relationship with the cytoskeleton. N-methyl-D-aspartate receptors’ (NMDARs) interaction with actin is pivotal in synaptic plasticity, which is a pre-requisite, for example, for learning and memory [68]. Another example is given by voltage-gated calcium channels: actin cytoskeleton participates in the crosstalk of L-type of these channels and mitochondria, obtaining a regulation of noradrenergic activity in the locus coeruleus, a fundamental relationship for integrative brain functions [69]. Transient receptor potential (TRP) cation channels, which are involved in Ca2+ signaling, also have a peculiar relationship with the cytoskeleton which might act as a modulator of TRP, but are modulated by TRP via a downstream effect of TRP function [70]. Therefore, the cytoskeleton, and actin in particular, may represent a underrecognized mechanism of modulation and activation of voltage-gated and non-voltage-gated ion channels in neurons [45].

4. Microscopic Approaches to Visualize and Assess Cytoskeleton Function

Th cytoskeleton can be assessed microscopically with many different approaches developed over the years. An overview is given here to present the possible techniques that could be relevant when designing a research plan aiming at ascertaining the role of a specific cytoskeleton component and/or cytoskeleton functioning. Light microscopy was the key technique in earlier studies of cytoskeleton components. The first studies date back to the 17th century and they generically defined cytoskeleton proteins as a network of neurofibrils [71]. However, it was not until the 1940s, when immunolabeling with fluorescent antibodies for light microscopy was introduced [72], that more refined observations were possible. These were first used to study neuronal cultures and only later specifically to characterize neuronal cytoskeleton. Antibodies against tubulin and actin (or fluorescent phalloidin) were introduced to label microtubules and actin filaments in the processes of neuroblastoma [73]. To highlight the relevance of this advancement, it should be noted that the restriction of the microtubule-associated protein MAP2 to the somatodendritic compartment was first demonstrated via tubulin immunolabeling [74]. However, it was only at the end of the 1990s that fixation and staining protocols had reached the final refinement setting and fluorescent phalloidin, anti-tubulin, and MAP2 antibodies were used as standard labelling methods [75].
However, light microscopy did not allow an in-depth analysis of the cytoskeleton due to the intrinsic physical limitation related to the diffraction limit (200 nm). A fundamental turning point in the description and comprehension of cytoskeleton structures was represented by the availability of transmission electron microscopy (TEM) [76]. Since it uses electrons, rather than light, TEM can overcome the diffraction limit, thus allowing the actual description of neurofilaments and microtubules. TEM also permitted the description of actin filaments and the axon initial sequence [77]. Unfortunately, even if TEM has contributed, and still contributes, to the investigation of the neuronal cytoskeleton, it has some well-known limitations. These are primarily represented by the technical challenges posed by the fixation process, which can damage these subcellular components [78,79,80]. Furthermore, proteins associated with the cytoskeleton are not that easily detectable using TEM. Over the years, technical advancements had allowed the amelioration of morphological studies in this field; in particular, cryogenic electron microscopy represented a relevant improvement in preserving samples, since through a rapid freezing process the natural state of the molecules is better preserved [81,82]. Moreover, immune-electron microscopy allowed better characterization of single components of the cytoskeleton, even if the specimen preparation requires a careful and well-conducted procedure.
Subsequently, the development of fluorescent microscopy, and in particular of confocal microscopy, increased our ability to resolve the cytoskeleton, since cytoskeleton-binding fluorescent antibodies allow the examination of the cytoskeleton structure, motility, organelles organization and trafficking along the microtubules. However, this technique also has some pitfalls that should be acknowledged when selecting a specific experimental design on the basis of the scientific hypothesis to be tested. When fixation is performed, potential artifacts should also be weighed in this case. Moreover, the cytoskeleton is very packed, making difficult to discriminate between single structure, also considering, again, the diffraction limit of this kind of microscopy.
Since the neuronal cytoskeleton is a dynamic, and not a static complex, an intriguing advancement in its study was represented by live imaging. Fluorescein phalloidin, a high-affinity F-actin probe conjugated to the green fluorescent dye, is the gold standard for the evaluation of actin filaments in live cells [83], while, for the evaluation of microtubule dynamics, the end-binding protein (EB1 and EB3) involved in the growth of microtubules’ plus-end, tagged with a green fluorescent protein [84], can be used. Even in these cases, however, there are difficulties to overcome. The probe could be toxic, or it could be bundling, somehow altering the polymerization/depolymerization dynamics of the various structures of the cytoskeleton or modifying the binding site of proteins associated with the cytoskeleton [85,86,87,88].
Over the last decade, many techniques at the forefront super-resolution allowed us to further deepen our understanding of the cytoskeleton and the dynamics between its components and the associated proteins. All the super-resolution techniques share the capacity to break the light diffraction barrier, reaching, in some cases, resolution limits down to a few tens of nanometers [89]. They can generally be divided into two major groups: (i) patterned light illumination techniques with stimulated emission depletion (STED) and structured illumination microscopy (SIM), and (ii) localization-based techniques with stochastic optical reconstruction microscopy (STORM) and photoactivation localization microscopy (PALM). Each of these techniques has allowed the characterization of important aspects of cytoskeletal organization: SIM has been used to detect dynamic changes in cytoskeleton architecture) [90], while STORM, using a phalloidin probe, permits the reconsideration of actin organization in axons, where a ring-like structure wraps them every 180–190 nm, but not in the dendrites [12]. The same organization can be detected with STED in living neurons [91]. STORM was also used to underline the dynamics of neurofilaments in the axons, showing that neurofilaments, even if they have been considered stable structures, also undergo continuous turnover based on actin-dependent retrograde flow and anterograde and retrograde microtubule-dependent transports [92,93]. With PALM technique, it has been possible to visualize microtubule organization and to ascertain their role in organelle movement in living cells [89]. These techniques, together with the development of specific (and also transgenic) probes for the cytoskeleton, will allow us to investigate the cytoskeleton with unprecedented spatial and temporal resolution, thus pushing the limit forward to the nanoscale. Table 2 summarizes the main super-resolution microscopy techniques characteristics, with their advantages and disadvantages.
Among the super resolution techniques, STED might greatly benefit from the use of transgenic approaches. STED nanoscopy enabled a super resolution fluorescence microscopy in living brain slices [98,99] and in the brains of anesthetized live mice [100,101,102,103], using the overexpression of fluorescent proteins to mark the actin network. However, this procedure increases the risk of tissue photodamage. To overcome this possible bias, transgenic animals can be used, as demonstrated by Masch et al. [104], and the molecular specificity of a genetically encoded self-labeling enzyme tag can be exploited after fusion with the protein of interest, combining it with the superior photophysical performance of organic fluorophores.
Concerning the cytoskeleton function, there is increasing interest regarding its involvement in organelle transport, in particular mitochondria. Light microscopy with the use of fluorescent probes can evidence how mitochondria move along axons [105,106,107]. The fluorescent probes are inserted in the cells under investigation by transfection or MitoTracker dye, an easy and ready-to-use probe that accumulates in mitochondria through membrane potential. When analyzing mitochondrial movement along the axon, the percentage of stationary and in-motion mitochondria must be taken into account, since typically 60% are stationary [108,109]. In-motion mitochondria are nearly equally divided between those that move anterogradely or retrogradely. However, in the visualization of mitochondrial trafficking, a high-throughput, dynamic and long-term analysis of the cellular events can be achieved via holotomographic microscopy, which enables non-invasive visualization and quanti-fication of living cells without compromising cell integrity. Holotomographic microscopy is a novel approach that combines holography and tomography technologies, enabling the study of cells and thin tissue slices via three-dimensional images [110]. These images are obtained by exploiting the specific refraction index (RI) of each structure/cell, an intrinsic optical parameter that is pivotal for this technique. The holographic technique exploits two major light parameters (i.e., amplitude and phase) and captures light information scattered from each sample at once; therefore, an optical phase delay takes place when light passes through the object under study, which is highly related to the specimen thickness and to the distribution of its RI values. The holography technique measures this phase delay, giving an indirect clue as to the object’s inner composition [111]. The next step is the optical diffraction tomography that reconstructs the 3D distribution of RI values; this returns the structural and chemical characterization of the specimen. As a consequence, a quantitative and label-free analysis of volume and subcellular components on live unstained cells and tissue slices is possible [112,113], and dry mass, morphology, and dynamics of the cellular membrane, as well as protein content, can be evaluated too [114]. Holotomographic microscopy can be particularly suitable for mitochondrial trafficking studies, allowing a label-free alternative, ensuring the capture of the behavior of mitochondria at high frequencies and for unlimited periods of time. Of course, it is not a direct visualization of the cytoskeleton, but it is a simple and indirect measure of its functioning via one of its essential tasks, i.e., mitochondrial motility. On the other hand, the absence of specific probes could make it harder to clearly identify subcellular structures (unless they are easily recognizable, such as lipid droplets). In Figure 1, we present selected time frames of Supplementary Video S1 that we obtained as representative images of a physiological mitochondrial motility study obtained with this approach. Mitochondria (shown in bright white and indicated by white arrows in the image) were recognized via their RI and followed (e.g., tracked) over time and space in our sample.

5. Examples of Human Pathology Related to Cytoskeleton Dysfunction

Given the high relevance of the cytoskeleton for neuronal physiology and survival, it is far from surprising that its perturbations can cause human diseases. Here, we will present some significant examples highlighting the role of cytoskeleton alterations in epilepsy, cognitive dysfunction and intellectual disability, and peripheral neuropathies (PNs).

5.1. Epilepsy

Epilepsy is the first condition that can be easily associated with a disruption of one of the fundamental properties of neurons, i.e., excitability and the fine tuning that should be maintained over it. Epilepsy is defined as a propensity to develop seizures, which are abnormal, hypersynchronous discharges of cortical neurons [115]. Worldwide, it is estimated that 50 million people are affected by this condition, affecting both children and adults [116]. Ion channels are certainly the simplest targets to think of as the primum movens of epilepsy, given their role in AP generation, and, in fact, many antiepileptic drugs (AEDs) are ion channel modulators [117,118]. However, the neuronal cytoskeleton should also be considered, and microtubules are key players in the bioelectric properties of neurons since they can resemble wires, able to transmit and amplify electric signals via the flow of ions [119], and, therefore, they might be a novel druggable target and a specific molecular component to be investigated in pathogenetic studies. Epilepsy can arise as a consequence of altered neuronal development (for example related to microtubules’ dysfunction) or altered axonal transport, and cytoskeleton modulation might be, in the next years, a possible strategy to modulate altered neuronal excitability.
Despite the fact that the effects of microtubule dynamics on neural excitability and synaptic transmission have been suggested in the past [120,121], only more recently have microtubule dynamics been more closely linked to the generation of chronic epilepsy [122]. Altered neuronal excitability can be due to microtubule impairment during the development of synapses, in which finely regulated mechanisms such as phosphorylation, acetylation, tyrosination, and glutathionylation are necessary [123]. When alterations take place in this process, the result is a perturbed neuronal network, leading to cognitive deficits and neurodevelopmental disorders such as microencephaly, lissencephaly, polymicrogyria, and infantile epileptic syndromes [123,124]. Therefore, microtubule functioning is a possible pathway to be investigated in models of hereditary epilepsy. On a similar ground, another condition can also be enlisted, even if not strictly for its direct link between hyperexcitability and the cytoskeleton: the juvenile myoclonic epilepsy. This disorder is related to mutations of the EFHC1 protein, which is crucial in cell division, accumulating at the centrosome during interphase. A colocalization of EFHC1 with alpha-tubulin at the mitotic spindle occurs, suggesting a possible interaction with microtubules during brain development leading to neurological disturbances typical of this syndrome. Moreover, in neurons, EFHC1 is localized at soma and dendrites and its overexpression in mouse hippocampal primary culture neurons induces apoptosis [125]; this pro-apoptotic effects of EFHC1 is linked to an enhanced Ca2+ influx through R-type voltage dependent Ca2+ channel (Cav2.3).
Considering axonal transport, there is a specific family of proteins that can predispose to epilepsy: kinesins. They undergo modifications during neurodevelopment leading to hyperexcitability in the case of loss of neuronal kinesin heavy chain KIF5A. Xia et al. described effects on excitability in Cre-recombinase transgene mice with direct inactivation of KIF5A in neurons postnatally (KIF5A mutants die immediately after birth): 75% of mutant mice exhibited seizures and died at 3 weeks of age [126]. Nakajima et al. were able to link KIF5A alterations to seizures onset, in fact, due to impaired GABA receptor-mediated synaptic transmission, causing loss of the inhibitory regulation KIF5A has on neural transmission [127].
Notably, post-natal changes in the cytoskeleton might also play a pivotal role in epilepsy. As an example, brain-derived neurotrophic factor (BDNF, a neurotrophin able to actively modulated the mature nervous system [128]) alterations were related to seizure onset due to possible effects on microtubules. BDNF is suggested to be released into mature synapses during theta activity with local effects on actin cytoskeleton, similar to those that take place during neuronal development [129]. However, the exact role of BDNF in epilepsy is not fully understood. There is conflicting evidence on the role of BDNF, since it was described as enhancing neuronal survival and growth factor in epileptic rats [130], but it has also been implicated in the pathogenesis of hippocampal hyperexcitability and epilepsy when over-expressed [121].
The crucial role of microtubules in epilepsy is further evidenced in experimental studies showing the positive effect of microtubule-modulating agents on seizures. Xu and collaborators [122] studied microtubule dynamic in 30 human epileptic tissues and in two different chronic epilepsy rat models. In human specimens Tyr-tubulin presented an elevated expression in the neocortex and microtubule dynamics was dysregulated. The same alterations were found in the rat model where it was also demonstrated that the administration of a microtubule modulating agent (noscapine, which reduces the dynamics of microtubules by increasing the stopping time of microtubules [131]) attenuated the progression of chronic epilepsy and, by contrast, the microtubule-depolymerizing agent colchicine aggravated the progression of chronic epilepsy. Wu and colleagues [132], in a rat model of recurrent epilepsy, observed both α- and β-tubulin downregulation, as well as hippocampal neuron loss, in animals with recurrent seizures, thus reinforcing the role of microtubule system in epilepsy. The presented examples, therefore, support, once again, the idea that for a proper neuronal functioning (e.g., excitability) physiological microtubules are a crucial and not optional.

5.2. Intellectutal Disability (ID)

Another nosographic entity where cytoskeleton alterations may play a crucial and still underexplored role is ID, which is defined as a pathological condition characterized by limited intellectual functioning and adaptive behaviors, affecting 1–3% of the world’s population, lacking of an efficacious pharmacological treatment [133]. Further investigations on the role of the cytoskeleton in this regard may shed light not only on the mechanisms leading to this condition, but also define potential precision medicine strategies (e.g., targeted therapies). Similar to epilepsy, a crucial step in ID is neurodevelopment, and the cytoskeleton (particularly the actin component) can, of course, be one of the key players. Cytoskeleton dynamics, whose regulation depends on Rho GTPases transduction, has been linked to ID. In particular, cytoskeleton alterations during neuronal development leading to altered neuronal migration, neuritogenesis, and synaptic plasticity were demonstrated in Down syndrome (DS), Rett syndrome, Fragile X syndrome (FXS), and autism spectrum disorder (ASD). In DS patients, the regulators of actin filament polymerization and branching, CDC42 and WASP, have been implicated as relevant, conditioning alterations in protein–protein interaction, leading to ID [134]. Actin polymerization was reduced, with the possible result of altered dendritic spine morphology and density [135]. In line with this observation, the triplication of the DYRK1A gene encoding proline-directed serine/threonine kinase, located in the critical region of Down syndrome (DS), causes cytoskeleton alteration (primarily involving actin) which was linked to ID [136]. Similarly, actin regulation was demonstrated as being altered in FXS, with an impairment in cytoskeleton constitution [137]. In Rett syndrome, transcriptomic analysis was carried out on preclinical models evidencing dysregulation in cytoskeleton dynamics, actin polymerization, and focal adhesion [138]. Finally, in ASD, a dysfunction of Rho GTPases signaling was described as relevant in its pathogenesis, and nearly 20 genes encoding Rho GTPases regulators and effectors have been reported as ASD risk factors [139]. On a similar ground, actin regulation in stem cells from ASD patients demonstrated altered dynamics of filament reconstruction upon activation of the Rho GTPases RAC1, CDC42, or RHOA, resulting in shorter and less arborized neurites [140]. Therefore, further studies aiming at exploring actin/cytoskeleton modulation in ID field might be suggested.

5.3. Peripheral Neuropathies (PN)

PN is a large category under which different diseases affecting the peripheral nervous system are grouped together, encompassing both hereditary and acquired conditions. On the basis of the affected components, patients can develop dysfunction related to sensory (i.e., sensory perception alterations and/or neuropathic pain), motor (i.e., weakness and wasting) and/or autonomic dysfunctions. In hereditary PNs, alterations in cytoskeletal components are a relevant occurrence, related to malfunctioning of cytoskeletal proteins themselves. Charcot–Marie–Tooth (CMT) disease is the most common inherited PN. Genetic and phenotypical heterogeneity is high, but CMT can be mainly divided into more common sub-forms based on the clinical and instrumental findings: demyelinating type (CMT1), axonal type (CMT2), and intermediate types (CMTI) [141]. We list here some examples of CMT in which the cytoskeleton is involved in disease onset. Tubulinopathies (i.e., mutations in beta-tubulin) are related to mutations of TUBB3 genes, leading to a reduction in kinesin localization to microtubule plus-ends, altering axonal transport, and microtubule overstabilization and increased depolymerization [142]. The formin family can also be enlisted (they are proteins involved in direct the elongation of unbranched actin filaments) [143]: when INF2 gene is mutated, a dominant-CMTI type E-form can arise [144]. Mutations in the NEFL gene can lead to several different axonal CMT subtypes (CMT2). Both dominant conditions causing aggregation and recessive mutations resulting in loss-of-function were described [145,146,147], and the affected domains can vary resulting in different pathological effects. Small heat shock proteins (sHSP), HSPB1 in particular, are associated with cytoskeletal abnormalities related to neuromuscular diseases [148,149]. Dominant mutations in HSPB1 are associated with CMT type 2F and distal hereditary motor neuropathy (dHMN) [150]; the S135F mutation leading to a higher affinity of HSPB1 for tubulin overstabilizing microtubules determines neuropathies affecting axonal transport [150].
Another relevant nosographic entity linking PNs and cytoskeleton alteration is related to iatrogenic neuropathies due to chemotherapy agents (the so-called chemotherapy-induced peripheral neurotoxicity, CIPN), that once again shows the pivotal role of cytoskeleton functions in neuronal survival. Among the different chemotherapy drugs, there are some classes that primarily target the cytoskeleton: vinca alkaloids, taxanes, epothilones and proteasome inhibitors. Although CIPN mechanisms are still not completely understood [151] for the aforementioned drug classes, cytoskeleton disturbances have been suggested to be pivotal. Proteasome inhibitors (most notably bortezomib) lead to increased tubulin polymerization resulting in microtubule stabilization that impairs neuronal functions [152]. Vinca alkaloids were shown to be associated with dysfunctional axonal transport, presumably because they prevent microtubule polymerization [153]. Instead, taxanes and epothilones can impair the neuronal metabolism acting with an opposite mechanism, i.e., the hyperstabilization of microtubules [154,155].

6. Cytoskeleton Components as a Possible Biomarker for Human Pathology? The Virtuous Example of Neurofilament Light Chain

Cytoskeleton components can also be relevant in biomarker discovery, since, as neuronal disturbances are present, it is likely that key structural elements of the cytoskeleton are released by injured neurons and undergo detectable changes in their biological fluid levels. Among cytoskeleton components, neurofilaments (Nf) have raised interest in the last few years. Nf are part of the class IV of the intermediate filaments, and comprehends Nf light chain (NfL), Nf middle chain (NfM), Nf heavy chain (NfH) [156,157]. Nf are sparse and tortuous in the soma and in the dendrites, whereas they are numerous, mainly straight, long and unbranched in axons [158]. Notably, Nf are even more abundant in large myelinated axons and are highly organized [159]. Given their spatial distribution in neurons, Nf can be released from damaged or diseased axons in significant amounts into blood, and cerebrospinal fluid or serum could be therefore proposed as potential biomarkers of axonal injury, axonal loss, and neuronal death. Among the different types of Nf, NfL seems to be the most promising as potential biomarkers, since they are released by damaged central and peripheral nervous system axons in interstitial fluids [160] and the development of the ultrasensitive Simoa technique allows us to easily measure their levels not only in the cerebrospinal fluid, but also in more convenient serum/plasma samples [161,162]. NfL were already tested in various neurological disturbances affecting both central and peripheral nervous systems [160,161,162,163,164,165,166,167,168,169], even if they have not yet entered in routine clinical practice. As a significant example of the virtuous exploitation of NfL testing that might reach a clinical use, we will rely on a specific disease, i.e., CIPN. To verify that a sound biological rationale was present, NfL levels were initially tested in animal models with promising results. First, NfL were tested in a rodent CIPN model of vincristine-induced neuropathy: a steady, and significant increase during the course of chemotherapy administration (1 month) was demonstrated, leading to a final four-fold increase compared to control animals. This remarkable increase in NfL levels corresponded to a severe axonopathy in peripheral nerves as well as to a loss of intraepidermal nerve fibers, matched by behavioral, neurophysiological alterations [164]. Subsequently, to further explore NfL use in detecting axonal damage, the same group compared serum NfL levels in animals chronically treated with cisplatin and paclitaxel; the former drug primarily targeting the dorsal root ganglia neurons with axonal damage as a secondary event, whereas the latter induces primary axonopathy [154,170]. Serum NfL measurements correlated with the different severity of axonal damage in the two selected models, since both drugs induced serum NfL increase, but higher levels were observed in the paclitaxel-treated group; moreover, earlier alterations were seen in this group, with the magnitude of the NfL increase matching the different severity of morphological and functional alterations. On the basis of these results, NfL were then tentatively tested in a clinical setting and very recently some groups suggested their use at the bedside. Karteri et al. [171] prospectively followed up 59 patients treated with paclitaxel measuring serum NfL before starting chemotherapy, after 2 and 3 weekly courses, and at the end of chemotherapy (12 weekly cycles in total), a significant longitudinal increase was observed and NfL levels were significantly higher in patients affected by more severe toxicity. Huehnchen et al. [172] monitored NfL levels in a cohort of 31 patients treated with paclitaxel and compared NfL levels with healthy control (n = 6) and breast cancer patients not treated with chemotherapy (n = 25); they observed a specificity and sensibility higher than 80%, giving promising results even if the low number of subjects included in the analysis make a validation necessary in larger cohorts. In any case, this course of action, from bench to bedside with a strong sound methodological approach, is the one to be followed to evaluate and validate other biomarkers that rely on the fact that many human diseases are due to alterations related to the cytoskeleton.

7. Concluding Remarks

The lively role of the cytoskeleton in neurons makes its components crucial both in physiological and in pathological settings. Therefore, they can be both a matter of investigation for studies aiming at dissecting diseases mechanisms, but also for the identification of reliable, clinically-relevant biomarkers for human pathologies, as well as the identification of new, potentially druggable targets.

Supplementary Materials

The following supporting information can be downloaded at: https://www.mdpi.com/article/10.3390/cells11162499/s1, Video S1: Mitochondrial trafficking with holotomographic microscopy.

Author Contributions

Conceptualization, P.A.; data curation, S.S.; writing—original draft preparation, P.A., S.S. and A.S.; writing—review and editing, G.C. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Acknowledgments

We thankfully acknowledge Mario Bossi for his help with images/videos embedded in this article.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Marek, K.W.; Davis, G.W. Controlling the active properties of excitable cells. Curr. Opin. Neurobiol. 2003, 13, 607–611. [Google Scholar] [CrossRef]
  2. López-Bendito, G.; Arlotta, P. Cell replacement therapies for nervous system regeneration. Dev. Neurobiol. 2012, 72, 145–152. [Google Scholar] [CrossRef]
  3. Frade, J.M.; Ovejero-Benito, M.C. Neuronal cell cycle: The neuron itself and its circumstances. Cell Cycle 2015, 14, 712–720. [Google Scholar] [CrossRef]
  4. Sheng, Z.H. The Interplay of Axonal Energy Homeostasis and Mitochondrial Trafficking and Anchoring. Trends Cell Biol. 2017, 27, 403–416. [Google Scholar] [CrossRef]
  5. Sheng, Z.H. Mitochondrial trafficking and anchoring in neurons: New insight and implications. J. Cell Biol. 2014, 204, 1087–1098. [Google Scholar] [CrossRef]
  6. Dogterom, M.; Koenderink, G.H. Actin-microtubule crosstalk in cell biology. Nat. Rev. Mol. Cell Biol. 2019, 20, 38–54. [Google Scholar] [CrossRef]
  7. Kapitein, L.C.; Hoogenraad, C.C. Building the Neuronal Microtubule Cytoskeleton. Neuron 2015, 87, 492–506. [Google Scholar] [CrossRef]
  8. Gomez, T.M.; Letourneau, P.C. Actin dynamics in growth cone motility and navigation. J. Neurochem. 2014, 129, 221–234. [Google Scholar] [CrossRef]
  9. Bennison, S.A.; Blazejewski, S.M.; Smith, T.H.; Toyo-Oka, K. Protein kinases: Master regulators of neuritogenesis and therapeutic targets for axon regeneration. Cell Mol. Life Sci. 2020, 77, 1511–1530. [Google Scholar] [CrossRef]
  10. Suter, D.M.; Miller, K.E. The emerging role of forces in axonal elongation. Prog. Neurobiol. 2011, 94, 91–101. [Google Scholar] [CrossRef]
  11. Georges, P.C.; Hadzimichalis, N.M.; Sweet, E.S.; Firestein, B.L. The yin-yang of dendrite morphology: Unity of actin and microtubules. Mol. Neurobiol. 2008, 38, 270–284. [Google Scholar] [CrossRef] [PubMed]
  12. Xu, K.; Zhong, G.; Zhuang, X. Actin, spectrin, and associated proteins form a periodic cytoskeletal structure in axons. Science 2013, 339, 452–456. [Google Scholar] [CrossRef] [PubMed]
  13. van Bommel, B.; Konietzny, A.; Kobler, O.; Bär, J.; Mikhaylova, M. F-actin patches associated with glutamatergic synapses control positioning of dendritic lysosomes. EMBO J. 2019, 38, e101183. [Google Scholar] [CrossRef] [PubMed]
  14. Nicolini, G.; Monfrini, M.; Scuteri, A. Axonal Transport Impairment in Chemotherapy-Induced Peripheral Neuropathy. Toxics 2015, 3, 322–341. [Google Scholar] [CrossRef]
  15. Gibbs, K.L.; Greensmith, L.; Schiavo, G. Regulation of Axonal Transport by Protein Kinases. Trends Biochem. Sci. 2015, 40, 597–610. [Google Scholar] [CrossRef]
  16. Chevalier-Larsen, E.; Holzbaur, E.L. Axonal transport and neurodegenerative disease. Biochim. Biophys Acta 2006, 1762, 1094–1108. [Google Scholar] [CrossRef]
  17. Vale, R.D. Myosin V motor proteins: Marching stepwise towards a mechanism. J. Cell Biol. 2003, 163, 445–450. [Google Scholar] [CrossRef]
  18. Arnold, D.B.; Gallo, G. Structure meets function: Actin filaments and myosin motors in the axon. J. Neurochem. 2014, 129, 213–220. [Google Scholar] [CrossRef]
  19. Kapitein, L.C.; Hoogenraad, C.C. Which way to go? Cytoskeletal organization and polarized transport in neurons. Mol. Cell NeuroSci. 2011, 46, 9–20. [Google Scholar] [CrossRef]
  20. Hirokawa, N.; Takemura, R. Molecular motors and mechanisms of directional transport in neurons. Nat. Rev. NeuroSci. 2005, 6, 201–214. [Google Scholar] [CrossRef]
  21. Maday, S.; Twelvetrees, A.E.; Moughamian, A.J.; Holzbaur, E.L. Axonal transport: Cargo-specific mechanisms of motility and regulation. Neuron 2014, 84, 292–309. [Google Scholar] [CrossRef]
  22. Yellen, G. Fueling thought: Management of glycolysis and oxidative phosphorylation in neuronal metabolism. J. Cell Biol. 2018, 217, 2235–2246. [Google Scholar] [CrossRef]
  23. Coelho, P.; Fão, L.; Mota, S.; Rego, A.C. Mitochondrial function and dynamics in neural stem cells and neurogenesis: Implications for neurodegenerative diseases. Ageing Res. Rev. 2022, 80, 101667. [Google Scholar] [CrossRef]
  24. Quintanilla, R.A.; Tapia-Monsalves, C.; Vergara, E.H.; Pérez, M.J.; Aranguiz, A. Truncated Tau Induces Mitochondrial Transport Failure Through the Impairment of TRAK2 Protein and Bioenergetics Decline in Neuronal Cells. Front. Cell NeuroSci. 2020, 14, 175. [Google Scholar] [CrossRef]
  25. Cheng, X.T.; Sheng, Z.H. Developmental regulation of microtubule-based trafficking and anchoring of axonal mitochondria in health and diseases. Dev. Neurobiol. 2021, 81, 284–299. [Google Scholar] [CrossRef]
  26. Fenton, A.R.; Jongens, T.A.; Holzbaur, E.L.F. Mitochondrial adaptor TRAK2 activates and functionally links opposing kinesin and dynein motors. Nat. Commun. 2021, 12, 4578. [Google Scholar] [CrossRef]
  27. López-Doménech, G.; Covill-Cooke, C.; Ivankovic, D.; Halff, E.F.; Sheehan, D.F.; Norkett, R.; Birsa, N.; Kittler, J.T. Miro proteins coordinate microtubule- and actin-dependent mitochondrial transport and distribution. EMBO J. 2018, 37, 321–336. [Google Scholar] [CrossRef]
  28. Celestino, R.; Henen, M.A.; Gama, J.B.; Carvalho, C.; McCabe, M.; Barbosa, D.J.; Born, A.; Nichols, P.J.; Carvalho, A.X.; Gassmann, R.; et al. A transient helix in the disordered region of dynein light intermediate chain links the motor to structurally diverse adaptors for cargo transport. PLoS Biol. 2019, 17, e3000100. [Google Scholar] [CrossRef]
  29. Cason, S.E.; Carman, P.J.; Van Duyne, C.; Goldsmith, J.; Dominguez, R.; Holzbaur, E.L.F. Sequential dynein effectors regulate axonal autophagosome motility in a maturation-dependent pathway. J. Cell Biol. 2021, 220, e202010179. [Google Scholar] [CrossRef]
  30. van Spronsen, M.; Mikhaylova, M.; Lipka, J.; Schlager, M.A.; van den Heuvel, D.J.; Kuijpers, M.; Wulf, P.S.; Keijzer, N.; Demmers, J.; Kapitein, L.C.; et al. TRAK/Milton motor-adaptor proteins steer mitochondrial trafficking to axons and dendrites. Neuron 2013, 77, 485–502. [Google Scholar] [CrossRef]
  31. Henrichs, V.; Grycova, L.; Barinka, C.; Nahacka, Z.; Neuzil, J.; Diez, S.; Rohlena, J.; Braun, M.; Lansky, Z. Mitochondria-adaptor TRAK1 promotes kinesin-1 driven transport in crowded environments. Nat. Commun. 2020, 11, 3123. [Google Scholar] [CrossRef]
  32. Canty, J.T.; Tan, R.; Kusakci, E.; Fernandes, J.; Yildiz, A. Structure and Mechanics of Dynein Motors. Annu. Rev. Biophys 2021, 50, 549–574. [Google Scholar] [CrossRef]
  33. Armstrong, L.C.; Komiya, T.; Bergman, B.E.; Mihara, K.; Bornstein, P. Metaxin is a component of a preprotein import complex in the outer membrane of the mammalian mitochondrion. J. Biol. Chem. 1997, 272, 6510–6518. [Google Scholar] [CrossRef]
  34. Armstrong, L.C.; Saenz, A.J.; Bornstein, P. Metaxin 1 interacts with metaxin 2, a novel related protein associated with the mammalian mitochondrial outer membrane. J. Cell Biochem. 1999, 74, 11–22. [Google Scholar] [CrossRef]
  35. Zhao, Y.; Song, E.; Wang, W.; Hsieh, C.H.; Wang, X.; Feng, W.; Shen, K. Metaxins are core components of mitochondrial transport adaptor complexes. Nat. Commun. 2021, 12, 83. [Google Scholar] [CrossRef]
  36. Kang, J.S.; Tian, J.H.; Pan, P.Y.; Zald, P.; Li, C.; Deng, C.; Sheng, Z.H. Docking of axonal mitochondria by syntaphilin controls their mobility and affects short-term facilitation. Cell 2008, 132, 137–148. [Google Scholar] [CrossRef]
  37. Gutnick, A.; Banghart, M.R.; West, E.R.; Schwarz, T.L. The light-sensitive dimerizer zapalog reveals distinct modes of immobilization for axonal mitochondria. Nat. Cell Biol. 2019, 21, 768–777. [Google Scholar] [CrossRef]
  38. Basu, H.; Pekkurnaz, G.; Falk, J.; Wei, W.; Chin, M.; Steen, J.; Schwarz, T.L. FHL2 anchors mitochondria to actin and adapts mitochondrial dynamics to glucose supply. J. Cell Biol. 2021, 220, e201912077. [Google Scholar] [CrossRef]
  39. Eberhardt, E.L.; Ludlam, A.V.; Tan, Z.; Cianfrocco, M.A. Miro: A molecular switch at the center of mitochondrial regulation. Protein Sci. 2020, 29, 1269–1284. [Google Scholar] [CrossRef]
  40. DeSelm, C.J.; Brown, J.R.; Lu, R.; Langford, G.M. Rab-GDI inhibits myosin V-dependent vesicle transport in squid giant axon. Biol. Bull. 2003, 205, 190–191. [Google Scholar] [CrossRef]
  41. Brady, S.T.; Lasek, R.J.; Allen, R.D. Fast axonal transport in extruded axoplasm from squid giant axon. Science 1982, 218, 1129–1131. [Google Scholar] [CrossRef]
  42. Allen, R.D.; Metuzals, J.; Tasaki, I.; Brady, S.T.; Gilbert, S.P. Fast axonal transport in squid giant axon. Science 1982, 218, 1127–1129. [Google Scholar] [CrossRef]
  43. Reese, T.S. The molecular basis of axonal transport in the squid giant axon. Res. Publ. Assoc. Res. Nerv. Ment. Dis. 1987, 65, 89–102. [Google Scholar]
  44. Yi, G.; Wang, J.; Wei, X.; Che, Y. Energy Cost of Action Potential Generation and Propagation in Thalamocortical Relay Neurons During Deep Brain Stimulation. IEEE Trans. Biomed. Eng. 2019, 66, 3457–3471. [Google Scholar] [CrossRef]
  45. Morachevskaya, E.A.; Sudarikova, A.V. Actin dynamics as critical ion channel regulator: ENaC and Piezo in focus. Am. J. Physiol. Cell Physiol. 2021, 320, C696–C702. [Google Scholar] [CrossRef]
  46. Nelson, A.D.; Jenkins, P.M. Axonal Membranes and Their Domains: Assembly and Function of the Axon Initial Segment and Node of Ranvier. Front. Cell NeuroSci. 2017, 11, 136. [Google Scholar] [CrossRef]
  47. Sasaki, S.; Yui, N.; Noda, Y. Actin directly interacts with different membrane channel proteins and influences channel activities: AQP2 as a model. Biochim. Biophys Acta 2014, 1838, 514–520. [Google Scholar] [CrossRef]
  48. Keynes, R.D. The ionic channels in excitable membranes. Ciba Found. Symp 1975, 31, 191–203. [Google Scholar] [CrossRef]
  49. Dzhashiashvili, Y.; Zhang, Y.; Galinska, J.; Lam, I.; Grumet, M.; Salzer, J.L. Nodes of Ranvier and axon initial segments are ankyrin G-dependent domains that assemble by distinct mechanisms. J. Cell Biol. 2007, 177, 857–870. [Google Scholar] [CrossRef]
  50. Kole, M.H.; Ilschner, S.U.; Kampa, B.M.; Williams, S.R.; Ruben, P.C.; Stuart, G.J. Action potential generation requires a high sodium channel density in the axon initial segment. Nat. NeuroSci. 2008, 11, 178–186. [Google Scholar] [CrossRef]
  51. Yu, Y.; Shu, Y.; McCormick, D.A. Cortical action potential backpropagation explains spike threshold variability and rapid-onset kinetics. J. NeuroSci. 2008, 28, 7260–7272. [Google Scholar] [CrossRef] [PubMed]
  52. Devaux, J.J.; Kleopa, K.A.; Cooper, E.C.; Scherer, S.S. KCNQ2 is a nodal K+ channel. J. NeuroSci. 2004, 24, 1236–1244. [Google Scholar] [CrossRef] [PubMed]
  53. Pan, Z.; Kao, T.; Horvath, Z.; Lemos, J.; Sul, J.Y.; Cranstoun, S.D.; Bennett, V.; Scherer, S.S.; Cooper, E.C. A common ankyrin-G-based mechanism retains KCNQ and NaV channels at electrically active domains of the axon. J. NeuroSci. 2006, 26, 2599–2613. [Google Scholar] [CrossRef]
  54. Rasmussen, H.B.; Frøkjaer-Jensen, C.; Jensen, C.S.; Jensen, H.S.; Jørgensen, N.K.; Misonou, H.; Trimmer, J.S.; Olesen, S.P.; Schmitt, N. Requirement of subunit co-assembly and ankyrin-G for M-channel localization at the axon initial segment. J. Cell Sci. 2007, 120, 953–963. [Google Scholar] [CrossRef]
  55. Dedek, K.; Kunath, B.; Kananura, C.; Reuner, U.; Jentsch, T.J.; Steinlein, O.K. Myokymia and neonatal epilepsy caused by a mutation in the voltage sensor of the KCNQ2 K+ channel. Proc. Natl. Acad. Sci. USA 2001, 98, 12272–12277. [Google Scholar] [CrossRef]
  56. Schwarz, J.R.; Glassmeier, G.; Cooper, E.C.; Kao, T.C.; Nodera, H.; Tabuena, D.; Kaji, R.; Bostock, H. KCNQ channels mediate IKs, a slow K+ current regulating excitability in the rat node of Ranvier. J. Physiol. 2006, 573, 17–34. [Google Scholar] [CrossRef] [PubMed]
  57. Yue, C.; Yaari, Y. Axo-somatic and apical dendritic Kv7/M channels differentially regulate the intrinsic excitability of adult rat CA1 pyramidal cells. J. NeuroPhysiol. 2006, 95, 3480–3495. [Google Scholar] [CrossRef]
  58. Chung, H.J.; Jan, Y.N.; Jan, L.Y. Polarized axonal surface expression of neuronal KCNQ channels is mediated by multiple signals in the KCNQ2 and KCNQ3 C-terminal domains. Proc. Natl. Acad. Sci. USA 2006, 103, 8870–8875. [Google Scholar] [CrossRef]
  59. Ogiwara, I.; Miyamoto, H.; Morita, N.; Atapour, N.; Mazaki, E.; Inoue, I.; Takeuchi, T.; Itohara, S.; Yanagawa, Y.; Obata, K.; et al. Nav1.1 localizes to axons of parvalbumin-positive inhibitory interneurons: A circuit basis for epileptic seizures in mice carrying an Scn1a gene mutation. J. NeuroSci. 2007, 27, 5903–5914. [Google Scholar] [CrossRef]
  60. Garrido, J.J.; Giraud, P.; Carlier, E.; Fernandes, F.; Moussif, A.; Fache, M.P.; Debanne, D.; Dargent, B. A targeting motif involved in sodium channel clustering at the axonal initial segment. Science 2003, 300, 2091–2094. [Google Scholar] [CrossRef]
  61. Lemaillet, G.; Walker, B.; Lambert, S. Identification of a conserved ankyrin-binding motif in the family of sodium channel alpha subunits. J. Biol. Chem. 2003, 278, 27333–27339. [Google Scholar] [CrossRef] [PubMed]
  62. Lowe, J.S.; Palygin, O.; Bhasin, N.; Hund, T.J.; Boyden, P.A.; Shibata, E.; Anderson, M.E.; Mohler, P.J. Voltage-gated Nav channel targeting in the heart requires an ankyrin-G dependent cellular pathway. J. Cell Biol. 2008, 180, 173–186. [Google Scholar] [CrossRef]
  63. Eshed, Y.; Feinberg, K.; Poliak, S.; Sabanay, H.; Sarig-Nadir, O.; Spiegel, I.; Bermingham, J.R.; Peles, E. Gliomedin mediates Schwann cell-axon interaction and the molecular assembly of the nodes of Ranvier. Neuron 2005, 47, 215–229. [Google Scholar] [CrossRef]
  64. Sherman, D.L.; Tait, S.; Melrose, S.; Johnson, R.; Zonta, B.; Court, F.A.; Macklin, W.B.; Meek, S.; Smith, A.J.; Cottrell, D.F.; et al. Neurofascins are required to establish axonal domains for saltatory conduction. Neuron 2005, 48, 737–742. [Google Scholar] [CrossRef]
  65. Hedstrom, K.L.; Rasband, M.N. Intrinsic and extrinsic determinants of ion channel localization in neurons. J. Neurochem. 2006, 98, 1345–1352. [Google Scholar] [CrossRef]
  66. Zhou, D.; Lambert, S.; Malen, P.L.; Carpenter, S.; Boland, L.M.; Bennett, V. AnkyrinG is required for clustering of voltage-gated Na channels at axon initial segments and for normal action potential firing. J. Cell Biol. 1998, 143, 1295–1304. [Google Scholar] [CrossRef]
  67. Komada, M.; Soriano, P. [Beta]IV-spectrin regulates sodium channel clustering through ankyrin-G at axon initial segments and nodes of Ranvier. J. Cell Biol. 2002, 156, 337–348. [Google Scholar] [CrossRef]
  68. Shaw, J.E.; Koleske, A.J. Functional interactions of ion channels with the actin cytoskeleton: Does coupling to dynamic actin regulate NMDA receptors? J. Physiol. 2021, 599, 431–441. [Google Scholar] [CrossRef]
  69. de Oliveira, R.B.; Petiz, L.L.; Lim, R.; Lipski, J.; Gravina, F.S.; Brichta, A.M.; Callister, R.J.; Leão, R.N.; van Helden, D.F. Crosstalk between mitochondria, calcium channels and actin cytoskeleton modulates noradrenergic activity of locus coeruleus neurons. J. Neurochem. 2019, 149, 471–487. [Google Scholar] [CrossRef]
  70. Wang, Q.; Tian, X.; Zhou, W.; Wang, Y.; Zhao, H.; Li, J.; Zhou, X.; Zhang, H.; Zhao, T.; Li, P. Protective Role of Tangshen Formula on the Progression of Renal Damage in. J. Diabetes Res. 2020, 2020, 3634974. [Google Scholar] [CrossRef]
  71. Guillery, R.W. Observations of synaptic structures: Origins of the neuron doctrine and its current status. Philos Trans. R Soc. Lond B Biol. Sci. 2005, 360, 1281–1307. [Google Scholar] [CrossRef]
  72. Leterrier, C. A Pictorial History of the Neuronal Cytoskeleton. J. NeuroSci. 2021, 41, 11–27. [Google Scholar] [CrossRef]
  73. Marchisio, P.C.; Osborn, M.; Weber, K. The intracellular organization of actin and tubulin in cultured C-1300 mouse neuroblastoma cells (clone NB41A3). J. Neurocytol 1978, 7, 571–582. [Google Scholar] [CrossRef]
  74. Cáceres, A.; Banker, G.A.; Binder, L. Immunocytochemical localization of tubulin and microtubule-associated protein 2 during the development of hippocampal neurons in culture. J. NeuroSci. 1986, 6, 714–722. [Google Scholar] [CrossRef]
  75. Allison, D.W.; Chervin, A.S.; Gelfand, V.I.; Craig, A.M. Postsynaptic scaffolds of excitatory and inhibitory synapses in hippocampal neurons: Maintenance of core components independent of actin filaments and microtubules. J. NeuroSci. 2000, 20, 4545–4554. [Google Scholar] [CrossRef]
  76. Mazzarini, M.; Falchi, M.; Bani, D.; Migliaccio, A.R. Evolution and new frontiers of histology in bio-medical research. Microsc. Res. Tech. 2021, 84, 217–237. [Google Scholar] [CrossRef]
  77. Leterrier, C. The Axon Initial Segment, 50Years Later: A Nexus for Neuronal Organization and Function. Curr. Top. Membr. 2016, 77, 185–233. [Google Scholar] [CrossRef]
  78. Letourneau, P.C. Differences in the organization of actin in the growth cones compared with the neurites of cultured neurons from chick embryos. J. Cell Biol. 1983, 97, 963–973. [Google Scholar] [CrossRef]
  79. Nagele, R.G.; Kosciuk, M.C.; Hunter, E.T.; Bush, K.T.; Lee, H. Immunoelectron microscopic localization of actin in neurites of cultured embryonic chick dorsal root ganglia: Actin is a component of granular, microtubule-associated crossbridges. Brain Res. 1988, 474, 279–286. [Google Scholar] [CrossRef]
  80. Alonso, G.; Gabrion, J.; Travers, E.; Assenmacher, I. Ultrastructural organization of actin filaments in neurosecretory axons of the rat. Cell Tissue Res. 1981, 214, 323–341. [Google Scholar] [CrossRef]
  81. DE Winter, D.A.M.; Hsieh, C.; Marko, M.; Hayles, M.F. Cryo-FIB preparation of whole cells and tissue for cryo-TEM: Use of high-pressure frozen specimens in tubes and planchets. J. Microsc. 2021, 281, 125–137. [Google Scholar] [CrossRef]
  82. Danev, R.; Yanagisawa, H.; Kikkawa, M. Cryo-Electron Microscopy Methodology: Current Aspects and Future Directions. Trends Biochem. Sci. 2019, 44, 837–848. [Google Scholar] [CrossRef]
  83. Lukinavičius, G.; Reymond, L.; D’Este, E.; Masharina, A.; Göttfert, F.; Ta, H.; Güther, A.; Fournier, M.; Rizzo, S.; Waldmann, H.; et al. Fluorogenic probes for live-cell imaging of the cytoskeleton. Nat. Methods 2014, 11, 731–733. [Google Scholar] [CrossRef]
  84. Stepanova, T.; Slemmer, J.; Hoogenraad, C.C.; Lansbergen, G.; Dortland, B.; De Zeeuw, C.I.; Grosveld, F.; van Cappellen, G.; Akhmanova, A.; Galjart, N. Visualization of microtubule growth in cultured neurons via the use of EB3-GFP (end-binding protein 3-green fluorescent protein). J. NeuroSci. 2003, 23, 2655–2664. [Google Scholar] [CrossRef]
  85. Ladt, K.; Ganguly, A.; Roy, S. Axonal actin in action: Imaging actin dynamics in neurons. Methods Cell Biol. 2016, 131, 91–106. [Google Scholar] [CrossRef]
  86. Mimori-Kiyosue, Y.; Shiina, N.; Tsukita, S. The dynamic behavior of the APC-binding protein EB1 on the distal ends of microtubules. Curr. Biol. 2000, 10, 865–868. [Google Scholar] [CrossRef]
  87. Chou, V.T.; Yesilyurt, H.G.; Lai, H.; Long, J.B.; Arnes, M.; Obbad, K.; Jones, M.; Sasaki, H.; Lucas, L.A.G.; Alworth, S.; et al. 3D Particle Tracking for Noninvasive In Vivo Analysis of Synaptic Microtubule Dynamics in Dendrites and Neuromuscular Junctions of Drosophila. J. Vis. Exp. 2020, 159, e61159. [Google Scholar] [CrossRef]
  88. Morrison, E.E.; Moncur, P.M.; Askham, J.M. EB1 identifies sites of microtubule polymerisation during neurite development. Brain Res. Mol. Brain Res. 2002, 98, 145–152. [Google Scholar] [CrossRef]
  89. Leterrier, C.; Dubey, P.; Roy, S. The nano-architecture of the axonal cytoskeleton. Nat. Rev. NeuroSci. 2017, 18, 713–726. [Google Scholar] [CrossRef]
  90. Poole, J.J.A.; Mostaço-Guidolin, L.B. Optical Microscopy and the Extracellular Matrix Structure: A Review. Cells 2021, 10, 1760. [Google Scholar] [CrossRef]
  91. D’Este, E.; Kamin, D.; Göttfert, F.; El-Hady, A.; Hell, S.W. STED nanoscopy reveals the ubiquity of subcortical cytoskeleton periodicity in living neurons. Cell Rep. 2015, 10, 1246–1251. [Google Scholar] [CrossRef]
  92. Leduc, C.; Etienne-Manneville, S. Regulation of microtubule-associated motors drives intermediate filament network polarization. J. Cell Biol. 2017, 216, 1689–1703. [Google Scholar] [CrossRef]
  93. Uchida, A.; Çolakoğlu, G.; Wang, L.; Monsma, P.C.; Brown, A. Severing and end-to-end annealing of neurofilaments in neurons. Proc. Natl. Acad. Sci. USA 2013, 110, E2696–E2705. [Google Scholar] [CrossRef]
  94. Shelden, E.A.; Colburn, Z.T.; Jones, J.C. Focusing super resolution on the cytoskeleton. F1000Res 2016, 5, F1000. [Google Scholar] [CrossRef]
  95. Maglione, M.; Sigrist, S.J. Seeing the forest tree by tree: Super-resolution light microscopy meets the neurosciences. Nat. NeuroSci. 2013, 16, 790–797. [Google Scholar] [CrossRef]
  96. Tam, J.; Merino, D. Stochastic optical reconstruction microscopy (STORM) in comparison with stimulated emission depletion (STED) and other imaging methods. J. Neurochem. 2015, 135, 643–658. [Google Scholar] [CrossRef]
  97. Almada, P.; Culley, S.; Henriques, R. PALM and STORM: Into large fields and high-throughput microscopy with sCMOS detectors. Methods 2015, 88, 109–121. [Google Scholar] [CrossRef]
  98. Nägerl, U.V.; Willig, K.I.; Hein, B.; Hell, S.W.; Bonhoeffer, T. Live-cell imaging of dendritic spines by STED microscopy. Proc. Natl. Acad. Sci. USA 2008, 105, 18982–18987. [Google Scholar] [CrossRef]
  99. Urban, N.T.; Willig, K.I.; Hell, S.W.; Nägerl, U.V. STED nanoscopy of actin dynamics in synapses deep inside living brain slices. Biophys. J. 2011, 101, 1277–1284. [Google Scholar] [CrossRef]
  100. Berning, S.; Willig, K.I.; Steffens, H.; Dibaj, P.; Hell, S.W. Nanoscopy in a living mouse brain. Science 2012, 335, 551. [Google Scholar] [CrossRef]
  101. Willig, K.I.; Steffens, H.; Gregor, C.; Herholt, A.; Rossner, M.J.; Hell, S.W. Nanoscopy of filamentous actin in cortical dendrites of a living mouse. Biophys. J. 2014, 106, L01–L03. [Google Scholar] [CrossRef]
  102. Wegner, W.; Ilgen, P.; Gregor, C.; van Dort, J.; Mott, A.C.; Steffens, H.; Willig, K.I. In vivo mouse and live cell STED microscopy of neuronal actin plasticity using far-red emitting fluorescent proteins. Sci. Rep. 2017, 7, 11781. [Google Scholar] [CrossRef]
  103. Ter Veer, M.J.T.; Pfeiffer, T.; Nägerl, U.V. Two-Photon STED Microscopy for Nanoscale Imaging of Neural Morphology In Vivo. Methods Mol. Biol. 2017, 1663, 45–64. [Google Scholar] [CrossRef]
  104. Masch, J.M.; Steffens, H.; Fischer, J.; Engelhardt, J.; Hubrich, J.; Keller-Findeisen, J.; D’Este, E.; Urban, N.T.; Grant, S.G.N.; Sahl, S.J.; et al. Robust nanoscopy of a synaptic protein in living mice by organic-fluorophore labeling. Proc. Natl. Acad. Sci. USA 2018, 115, E8047–E8056. [Google Scholar] [CrossRef]
  105. Pero, M.E.; Meregalli, C.; Qu, X.; Shin, G.J.; Kumar, A.; Shorey, M.; Rolls, M.M.; Tanji, K.; Brannagan, T.H.; Alberti, P.; et al. Pathogenic role of delta 2 tubulin in bortezomib-induced peripheral neuropathy. Proc. Natl. Acad. Sci. USA 2021, 118, e2012685118. [Google Scholar] [CrossRef]
  106. Mou, Y.; Mukte, S.; Chai, E.; Dein, J.; Li, X.J. Analyzing Mitochondrial Transport and Morphology in Human Induced Pluripotent Stem Cell-Derived Neurons in Hereditary Spastic Paraplegia. J. Vis. Exp. 2020, 9, 156. [Google Scholar] [CrossRef]
  107. Gavini, C.K.; White, C.R.; Mansuy-Aubert, V.; Aubert, G. Loss of C2 Domain Protein (C2CD5) Alters Hypothalamic Mitochondrial Trafficking, Structure, and Function. Neuroendocrinology 2021, 112, 324–337. [Google Scholar] [CrossRef]
  108. Ligon, L.A.; Steward, O. Movement of mitochondria in the axons and dendrites of cultured hippocampal neurons. J. Comp. Neurol 2000, 427, 340–350. [Google Scholar] [CrossRef]
  109. Wang, X.; Schwarz, T.L. The mechanism of Ca2+ -dependent regulation of kinesin-mediated mitochondrial motility. Cell 2009, 136, 163–174. [Google Scholar] [CrossRef]
  110. Jin, D.; Zhou, R.; Yaqoob, Z.; So, P.T.C. Tomographic phase microscopy: Principles and applications in bioimaging [Invited]. J. Opt. Soc. Am. B 2017, 34, B64–B77. [Google Scholar] [CrossRef]
  111. Lee, K.; Kim, K.; Jung, J.; Heo, J.; Cho, S.; Lee, S.; Chang, G.; Jo, Y.; Park, H.; Park, Y. Quantitative phase imaging techniques for the study of cell pathophysiology: From principles to applications. Sensors 2013, 13, 4170–4191. [Google Scholar] [CrossRef]
  112. Debailleul, M.; Georges, V.; Simon, B.; Morin, R.; Haeberlé, O. High-resolution three-dimensional tomographic diffractive microscopy of transparent inorganic and biological samples. Opt. Lett. 2009, 34, 79–81. [Google Scholar] [CrossRef]
  113. Park, S.; Ahn, J.W.; Jo, Y.; Kang, H.Y.; Kim, H.J.; Cheon, Y.; Kim, J.W.; Park, Y.; Lee, S.; Park, K. Label-Free Tomographic Imaging of Lipid Droplets in Foam Cells for Machine-Learning-Assisted Therapeutic Evaluation of Targeted Nanodrugs. ACS Nano 2020, 14, 1856–1865. [Google Scholar] [CrossRef]
  114. Popescu, G.; Park, Y.; Lue, N.; Best-Popescu, C.; Deflores, L.; Dasari, R.R.; Feld, M.S.; Badizadegan, K. Optical imaging of cell mass and growth dynamics. Am. J. Physiol. Cell Physiol. 2008, 295, C538–C544. [Google Scholar] [CrossRef]
  115. Bromfield, E.B.; Cavazos, J.E.; Sirven, J.I. An Introduction to Epilepsy; West Hartford (CT); American Epilepsy Society: Chicago, IL, USA, 2006. [Google Scholar]
  116. Ngugi, A.K.; Bottomley, C.; Kleinschmidt, I.; Sander, J.W.; Newton, C.R. Estimation of the burden of active and life-time epilepsy: A meta-analytic approach. Epilepsia 2010, 51, 883–890. [Google Scholar] [CrossRef]
  117. Glauser, T.; Ben-Menachem, E.; Bourgeois, B.; Cnaan, A.; Guerreiro, C.; Kälviäinen, R.; Mattson, R.; French, J.A.; Perucca, E.; Tomson, T.; et al. Updated ILAE evidence review of antiepileptic drug efficacy and effectiveness as initial monotherapy for epileptic seizures and syndromes. Epilepsia 2013, 54, 551–563. [Google Scholar] [CrossRef]
  118. Patsalos, P.N.; Berry, D.J.; Bourgeois, B.F.; Cloyd, J.C.; Glauser, T.A.; Johannessen, S.I.; Leppik, I.E.; Tomson, T.; Perucca, E. Antiepileptic drugs--best practice guidelines for therapeutic drug monitoring: A position paper by the subcommission on therapeutic drug monitoring, ILAE Commission on Therapeutic Strategies. Epilepsia 2008, 49, 1239–1276. [Google Scholar] [CrossRef]
  119. Craddock, T.J.; Tuszynski, J.A.; Priel, A.; Freedman, H. Microtubule ionic conduction and its implications for higher cognitive functions. J. Integr NeuroSci. 2010, 9, 103–122. [Google Scholar] [CrossRef]
  120. Whatley, V.J.; Harris, R.A. The cytoskeleton and neurotransmitter receptors. Int. Rev. Neurobiol. 1996, 39, 113–143. [Google Scholar] [CrossRef]
  121. Gardiner, J.; Marc, J. Disruption of normal cytoskeletal dynamics may play a key role in the pathogenesis of epilepsy. Neuroscientist 2010, 16, 28–39. [Google Scholar] [CrossRef]
  122. Xu, X.; Hu, Y.; Xiong, Y.; Li, Z.; Wang, W.; Du, C.; Yang, Y.; Zhang, Y.; Xiao, F.; Wang, X. Association of Microtubule Dynamics with Chronic Epilepsy. Mol. Neurobiol. 2016, 53, 5013–5024. [Google Scholar] [CrossRef] [PubMed]
  123. Compagnucci, C.; Piermarini, E.; Sferra, A.; Borghi, R.; Niceforo, A.; Petrini, S.; Piemonte, F.; Bertini, E. Cytoskeletal dynamics during in vitro neurogenesis of induced pluripotent stem cells (iPSCs). Mol. Cell NeuroSci. 2016, 77, 113–124. [Google Scholar] [CrossRef] [PubMed]
  124. Cushion, T.D.; Paciorkowski, A.R.; Pilz, D.T.; Mullins, J.G.; Seltzer, L.E.; Marion, R.W.; Tuttle, E.; Ghoneim, D.; Christian, S.L.; Chung, S.K.; et al. De novo mutations in the beta-tubulin gene TUBB2A cause simplified gyral patterning and infantile-onset epilepsy. Am. J. Hum. Genet. 2014, 94, 634–641. [Google Scholar] [CrossRef]
  125. de Nijs, L.; Lakaye, B.; Coumans, B.; Léon, C.; Ikeda, T.; Delgado-Escueta, A.V.; Grisar, T.; Chanas, G. EFHC1, a protein mutated in juvenile myoclonic epilepsy, associates with the mitotic spindle through its N-terminus. Exp. Cell Res. 2006, 312, 2872–2879. [Google Scholar] [CrossRef] [PubMed]
  126. Xia, C.H.; Roberts, E.A.; Her, L.S.; Liu, X.; Williams, D.S.; Cleveland, D.W.; Goldstein, L.S. Abnormal neurofilament transport caused by targeted disruption of neuronal kinesin heavy chain KIF5A. J. Cell Biol. 2003, 161, 55–66. [Google Scholar] [CrossRef]
  127. Nakajima, K.; Yin, X.; Takei, Y.; Seog, D.H.; Homma, N.; Hirokawa, N. Molecular motor KIF5A is essential for GABA(A) receptor transport, and KIF5A deletion causes epilepsy. Neuron 2012, 76, 945–961. [Google Scholar] [CrossRef]
  128. Lu, B.; Pang, P.T.; Woo, N.H. The yin and yang of neurotrophin action. Nat. Rev. NeuroSci. 2005, 6, 603–614. [Google Scholar] [CrossRef]
  129. Rex, C.S.; Lin, C.Y.; Kramár, E.A.; Chen, L.Y.; Gall, C.M.; Lynch, G. Brain-derived neurotrophic factor promotes long-term potentiation-related cytoskeletal changes in adult hippocampus. J. NeuroSci. 2007, 27, 3017–3029. [Google Scholar] [CrossRef]
  130. Yu, X.; Guan, Q.; Wang, Y.; Shen, H.; Zhai, L.; Lu, X.; Jin, Y. Anticonvulsant and anti-apoptosis effects of salvianolic acid B on pentylenetetrazole-kindled rats via AKT/CREB/BDNF signaling. Epilepsy Res. 2019, 154, 90–96. [Google Scholar] [CrossRef]
  131. Aneja, R.; Asress, S.; Dhiman, N.; Awasthi, A.; Rida, P.C.; Arora, S.K.; Zhou, J.; Glass, J.D.; Joshi, H.C. Non-toxic melanoma therapy by a novel tubulin-binding agent. Int. J. Cancer 2010, 126, 256–265. [Google Scholar] [CrossRef]
  132. Wu, X.; Zhou, Y.; Huang, Z.; Cai, M.; Shu, Y.; Zeng, C.; Feng, L.; Xiao, B.; Zhan, Q. The study of microtubule dynamics and stability at the postsynaptic density in a rat pilocarpine model of temporal lobe epilepsy. Ann. Transl. Med. 2020, 8, 863. [Google Scholar] [CrossRef] [PubMed]
  133. Liaci, C.; Camera, M.; Caslini, G.; Rando, S.; Contino, S.; Romano, V.; Merlo, G.R. Neuronal Cytoskeleton in Intellectual Disability: From Systems Biology and Modeling to Therapeutic Opportunities. Int. J. Mol. Sci. 2021, 22, 6167. [Google Scholar] [CrossRef] [PubMed]
  134. Sriroopreddy, R.; Sajeed, R.; Raguraman, P.; Sudandiradoss, C. Differentially expressed gene (DEG) based protein-protein interaction (PPI) network identifies a spectrum of gene interactome, transcriptome and correlated miRNA in nondisjunction Down syndrome. Int. J. Biol. Macromol. 2019, 122, 1080–1089. [Google Scholar] [CrossRef] [PubMed]
  135. Bhambhvani, H.P.; Mueller, T.M.; Simmons, M.S.; Meador-Woodruff, J.H. Actin polymerization is reduced in the anterior cingulate cortex of elderly patients with schizophrenia. Transl. Psychiatry 2017, 7, 1278. [Google Scholar] [CrossRef] [PubMed]
  136. Dowjat, K.; Adayev, T.; Kaczmarski, W.; Wegiel, J.; Hwang, Y.W. Gene dosage-dependent association of DYRK1A with the cytoskeleton in the brain and lymphocytes of down syndrome patients. J. Neuropathol. Exp. Neurol. 2012, 71, 1100–1112. [Google Scholar] [CrossRef]
  137. Michaelsen-Preusse, K.; Feuge, J.; Korte, M. Imbalance of synaptic actin dynamics as a key to fragile X syndrome? J. Physiol. 2018, 596, 2773–2782. [Google Scholar] [CrossRef]
  138. Bhattacherjee, A.; Mu, Y.; Winter, M.K.; Knapp, J.R.; Eggimann, L.S.; Gunewardena, S.S.; Kobayashi, K.; Kato, S.; Krizsan-Agbas, D.; Smith, P.G. Neuronal cytoskeletal gene dysregulation and mechanical hypersensitivity in a rat model of Rett syndrome. Proc. Natl. Acad. Sci. USA 2017, 114, E6952–E6961. [Google Scholar] [CrossRef]
  139. Guo, D.; Yang, X.; Shi, L. Rho GTPase Regulators and Effectors in Autism Spectrum Disorders: Animal Models and Insights for Therapeutics. Cells 2020, 9, 835. [Google Scholar] [CrossRef]
  140. Griesi-Oliveira, K.; Suzuki, A.M.; Alves, A.Y.; Mafra, A.C.C.N.; Yamamoto, G.L.; Ezquina, S.; Magalhães, Y.T.; Forti, F.L.; Sertie, A.L.; Zachi, E.C.; et al. Actin cytoskeleton dynamics in stem cells from autistic individuals. Sci. Rep. 2018, 8, 11138. [Google Scholar] [CrossRef]
  141. Higuchi, Y.; Takashima, H. Clinical genetics of Charcot-Marie-Tooth disease. J. Hum. Genet. 2022. on-line ahed of print. [Google Scholar] [CrossRef]
  142. Hong, Y.B.; Lee, J.H.; Park, H.J.; Choi, Y.R.; Hyun, Y.S.; Park, J.H.; Koo, H.; Chung, K.W.; Choi, B.O. A family with axonal sensorimotor polyneuropathy with TUBB3 mutation. Mol. Med. Rep. 2015, 11, 2729–2734. [Google Scholar] [CrossRef] [PubMed]
  143. Courtemanche, N. Mechanisms of formin-mediated actin assembly and dynamics. Biophys Rev. 2018, 10, 1553–1569. [Google Scholar] [CrossRef]
  144. Boyer, O.; Nevo, F.; Plaisier, E.; Funalot, B.; Gribouval, O.; Benoit, G.; Huynh Cong, E.; Arrondel, C.; Tête, M.J.; Montjean, R.; et al. INF2 mutations in Charcot-Marie-Tooth disease with glomerulopathy. N. Engl. J. Med. 2011, 365, 2377–2388. [Google Scholar] [CrossRef]
  145. Rebelo, A.P.; Abrams, A.J.; Cottenie, E.; Horga, A.; Gonzalez, M.; Bis, D.M.; Sanchez-Mejias, A.; Pinto, M.; Buglo, E.; Markel, K.; et al. Cryptic Amyloidogenic Elements in the 3’ UTRs of Neurofilament Genes Trigger Axonal Neuropathy. Am. J. Hum. Genet. 2016, 98, 597–614. [Google Scholar] [CrossRef]
  146. Sainio, M.T.; Ylikallio, E.; Mäenpää, L.; Lahtela, J.; Mattila, P.; Auranen, M.; Palmio, J.; Tyynismaa, H. Absence of NEFL in patient-specific neurons in early-onset Charcot-Marie-Tooth neuropathy. Neurol Genet. 2018, 4, e244. [Google Scholar] [CrossRef] [PubMed]
  147. Jordanova, A.; De Jonghe, P.; Boerkoel, C.F.; Takashima, H.; De Vriendt, E.; Ceuterick, C.; Martin, J.J.; Butler, I.J.; Mancias, P.; Papasozomenos, S.C.h.; et al. Mutations in the neurofilament light chain gene (NEFL) cause early onset severe Charcot-Marie-Tooth disease. Brain 2003, 126, 590–597. [Google Scholar] [CrossRef] [PubMed]
  148. Bouhy, D.; Juneja, M.; Katona, I.; Holmgren, A.; Asselbergh, B.; De Winter, V.; Hochepied, T.; Goossens, S.; Haigh, J.J.; Libert, C.; et al. A knock-in/knock-out mouse model of HSPB8-associated distal hereditary motor neuropathy and myopathy reveals toxic gain-of-function of mutant Hspb8. Acta Neuropathol. 2018, 135, 131–148. [Google Scholar] [CrossRef]
  149. Irobi, J.; Holmgren, A.; De Winter, V.; Asselbergh, B.; Gettemans, J.; Adriaensen, D.; Ceuterick-de Groote, C.; Van Coster, R.; De Jonghe, P.; Timmerman, V. Mutant HSPB8 causes protein aggregates and a reduced mitochondrial membrane potential in dermal fibroblasts from distal hereditary motor neuropathy patients. Neuromuscul. Disord. 2012, 22, 699–711. [Google Scholar] [CrossRef]
  150. d’Ydewalle, C.; Krishnan, J.; Chiheb, D.M.; Van Damme, P.; Irobi, J.; Kozikowski, A.P.; Vanden Berghe, P.; Timmerman, V.; Robberecht, W.; Van Den Bosch, L. HDAC6 inhibitors reverse axonal loss in a mouse model of mutant HSPB1-induced Charcot-Marie-Tooth disease. Nat. Med. 2011, 17, 968–974. [Google Scholar] [CrossRef]
  151. Alberti, P. Chemotherapy-induced peripheral neurotoxicity—Outcome measures: The issue. Expert Opin. Drug Metab. Toxicol. 2016, 13, 241–243. [Google Scholar] [CrossRef]
  152. Velasco, R.; Alberti, P.; Bruna, J.; Psimaras, D.; Argyriou, A.A. Bortezomib and other proteosome inhibitors-induced peripheral neurotoxicity: From pathogenesis to treatment. J. Peripher. Nerv. Syst. 2019, 24 (Suppl. S2), S52–S62. [Google Scholar] [CrossRef]
  153. Islam, B.; Lustberg, M.; Staff, N.P.; Kolb, N.; Alberti, P.; Argyriou, A.A. Vinca alkaloids, thalidomide and eribulin-induced peripheral neurotoxicity: From pathogenesis to treatment. J. Peripher. Nerv. Syst. 2019, 24 (Suppl. S2), S63–S73. [Google Scholar] [CrossRef]
  154. Tamburin, S.; Park, S.B.; Alberti, P.; Demichelis, C.; Schenone, A.; Argyriou, A.A. Taxane and epothilone-induced peripheral neurotoxicity: From pathogenesis to treatment. J. Peripher. Nerv. Syst. 2019, 24 (Suppl. S2), S40–S51. [Google Scholar] [CrossRef]
  155. Argyriou, A.A.; Bruna, J.; Marmiroli, P.; Cavaletti, G. Chemotherapy-induced peripheral neurotoxicity (CIPN): An update. Crit Rev. Oncol. Hematol. 2012, 82, 51–77. [Google Scholar] [CrossRef]
  156. Herrmann, H.; Aebi, U. Intermediate filaments: Molecular structure, assembly mechanism, and integration into functionally distinct intracellular Scaffolds. Annu. Rev. Biochem. 2004, 73, 749–789. [Google Scholar] [CrossRef]
  157. Herrmann, H.; Aebi, U. Intermediate Filaments: Structure and Assembly. Cold Spring Harb. Perspect. Biol. 2016, 8, a018242. [Google Scholar] [CrossRef]
  158. Burton, P.R.; Wentz, M.A. Neurofilaments are prominent in bullfrog olfactory axons but are rarely seen in those of the tiger salamander, Ambystoma tigrinum. J. Comp. Neurol. 1992, 317, 396–406. [Google Scholar] [CrossRef]
  159. Yuan, A.; Rao, M.V.; Nixon, R.A. Neurofilaments and Neurofilament Proteins in Health and Disease. Cold Spring Harb. Perspect Biol. 2017, 9, a018309. [Google Scholar] [CrossRef]
  160. Khalil, M.; Teunissen, C.E.; Otto, M.; Piehl, F.; Sormani, M.P.; Gattringer, T.; Barro, C.; Kappos, L.; Comabella, M.; Fazekas, F.; et al. Neurofilaments as biomarkers in neurological disorders. Nat. Rev. Neurol. 2018, 14, 577–589. [Google Scholar] [CrossRef]
  161. Rohrer, J.D.; Woollacott, I.O.; Dick, K.M.; Brotherhood, E.; Gordon, E.; Fellows, A.; Toombs, J.; Druyeh, R.; Cardoso, M.J.; Ourselin, S.; et al. Serum neurofilament light chain protein is a measure of disease intensity in frontotemporal dementia. Neurology 2016, 87, 1329–1336. [Google Scholar] [CrossRef]
  162. Sandelius, Å.; Zetterberg, H.; Blennow, K.; Adiutori, R.; Malaspina, A.; Laura, M.; Reilly, M.M.; Rossor, A.M. Plasma neurofilament light chain concentration in the inherited peripheral neuropathies. Neurology 2018, 90, e518–e524. [Google Scholar] [CrossRef] [PubMed]
  163. Mariotto, S.; Farinazzo, A.; Magliozzi, R.; Alberti, D.; Monaco, S.; Ferrari, S. Serum and cerebrospinal neurofilament light chain levels in patients with acquired peripheral neuropathies. J. Peripher. Nerv. Syst. 2018, 23, 174–177. [Google Scholar] [CrossRef]
  164. Meregalli, C.; Fumagalli, G.; Alberti, P.; Canta, A.; Carozzi, V.A.; Chiorazzi, A.; Monza, L.; Pozzi, E.; Sandelius, Å.; Blennow, K.; et al. Neurofilament light chain as disease biomarker in a rodent model of chemotherapy induced peripheral neuropathy. Exp. Neurol. 2018, 307, 129–132. [Google Scholar] [CrossRef]
  165. Kim, S.H.; Choi, M.K.; Park, N.Y.; Hyun, J.W.; Lee, M.Y.; Kim, H.J.; Jung, S.K.; Cha, Y. Serum neurofilament light chain levels as a biomarker of neuroaxonal injury and severity of oxaliplatin-induced peripheral neuropathy. Sci. Rep. 2020, 10, 7995. [Google Scholar] [CrossRef]
  166. Meregalli, C.; Fumagalli, G.; Alberti, P.; Canta, A.; Chiorazzi, A.; Monza, L.; Pozzi, E.; Carozzi, V.A.; Blennow, K.; Zetterberg, H.; et al. Neurofilament light chain: A specific serum biomarker of axonal damage severity in rat models of Chemotherapy-Induced Peripheral Neurotoxicity. Arch. Toxicol 2020, 94, 2517–2522. [Google Scholar] [CrossRef]
  167. Bendstrup, N.; Hejl, A.M.; Salvesen, L. Neurofilament Light Chain Levels in Frontotemporal Dementia and Progressive Supranuclear Palsy: A Systematic Review. J. Alzheimers Dis. 2022, 87, 131–140. [Google Scholar] [CrossRef]
  168. Wendel, E.M.; Bertolini, A.; Kousoulos, L.; Rauchenzauner, M.; Schanda, K.; Wegener-Panzer, A.; Baumann, M.; Reindl, M.; Otto, M.; Rostásy, K. Serum neurofilament light-chain levels in children with monophasic myelin oligodendrocyte glycoprotein-associated disease, multiple sclerosis, and other acquired demyelinating syndrome. Mult. Scler. 2022, 28, 1553–1561. [Google Scholar] [CrossRef]
  169. van den Bosch, A.; Fransen, N.; Mason, M.; Rozemuller, A.J.; Teunissen, C.; Smolders, J.; Huitinga, I. Neurofilament Light Chain Levels in Multiple Sclerosis Correlate With Lesions Containing Foamy Macrophages and With Acute Axonal Damage. Neurol. Neuroimmunol Neuroinflamm 2022, 9, e1154. [Google Scholar] [CrossRef]
  170. Alberti, P. Platinum-drugs induced peripheral neurotoxicity: Clinical course and preclinical evidence. Expert Opin. Drug Metab Toxicol 2019, 15, 487–497. [Google Scholar] [CrossRef]
  171. Karteri, S.; Bruna, J.; Argyriou, A.A.; Mariotto, S.; Velasco, R.; Alemany, M.; Kalofonou, F.; Alberti, P.; Dinoto, A.; Velissaris, D.; et al. Prospectively Assessing Serum Neurofilament Light Chain Levels As A Biomarker Of Paclitaxel-Induced Peripheral Neurotoxicity In Breast Cancer Patients. J. Peripher Nerv. Syst. 2022, 27, 166–174. [Google Scholar] [CrossRef]
  172. Huehnchen, P.; Schinke, C.; Bangemann, N.; Dordevic, A.D.; Kern, J.; Maierhof, S.K.; Hew, L.; Nolte, L.; Körtvelyessy, P.; Göpfert, J.C.; et al. Neurofilament proteins as a potential biomarker in chemotherapy-induced polyneuropathy. JCI Insight 2022, 7, e154395. [Google Scholar] [CrossRef] [PubMed]
Figure 1. Mitochondrial trafficking with holotomographic microscopy. Each panel (panel (AC)) enables us to follow different mitochondria at different time frames (time frame is stated in the upper left corner of each image). White arrows point out single mitochondria in each frame (images obtained with Nanolive holotomographic microscope).
Figure 1. Mitochondrial trafficking with holotomographic microscopy. Each panel (panel (AC)) enables us to follow different mitochondria at different time frames (time frame is stated in the upper left corner of each image). White arrows point out single mitochondria in each frame (images obtained with Nanolive holotomographic microscope).
Cells 11 02499 g001
Table 1. The role of the cytoskeleton in protein trafficking and anchoring.
Table 1. The role of the cytoskeleton in protein trafficking and anchoring.
Class of Transport ProteinTransportSubstrates
MyosinThey move specifically along actin filaments.
They are involved
in contractile forces and short-range transport [17].
Myosin Va is involved in localization of proteins to the somatodendritic compartment and in regulating transport of mRNAs, dense core vesicles, mitochondria and neurofilaments. It is involved in the localization of axonal proteins and modulates mitochondrial movements. More study is needed to fully elucidate these roles and determine their functional significance [18].
DyneinsThey move along the microtubule cytoskeleton to facilitate
long-range transport [17].
Retrograde transport [19].
It requires the dynein activator, dynactin, that binds directly to dynein and also binds directly to microtubules via Cytoskeletal Associated Protein-Glycine-rich domain [20,21].
KinesinThey move along the microtubule cytoskeleton to facilitate
long-range transport [17].
Anterograde transport [19].
Kinesin-1 family drive the transport of a wide range of cargos, including vesicles, organelles, proteins, and RNA particles.
Kinesin-2 family drive fodrin-positive plasma membrane precursors, N-cadherin and β-catenin, choline acetyltransferase, and Rab7-positive late endosome-lysosome compartments.
Kinesin-3 family drive the motility of synaptic vesicle precursors and dense core vesicles [20,21].
Table 2. Super Resolution techniques overview.
Table 2. Super Resolution techniques overview.
Super Resolution TechniquesResolutionFurther Insights intoAdvantagesDisadvantagesReferences
SIM 1100–250 nmDynamic changes in cytoskeleton architecture.Conventional fluorophores
Multiple fluorophores
Reduced resolution.
Longer processing time.
[90,94,95]
STED 250–80 nmCell matrix interactions.
Periodic ring structure of actin in neurons.
Actin dynamics in dendritic spine in living neurons.
Intermediate filaments network.
Microtubule in primary cilia.
Generic dye
Speed of acquisition
No need for complex analysis
Photobleaching.
High-energy laser, often not compatible with living cells.
[90,94,96]
STORM 320–50 nmActin organization in cytoskeleton.
Cell junctions (integrin keratin, plectin).
Microtubule organization.
Very high resolutionSingle
fluorophore, specific
Low temporal resolution.
Low acquisition speed.
Phototoxicity.
Complex post-acquisition.
Need of special fluorophores.
[90,94,96,97]
PALM 420–50 nmMitochondrial proteins.
Microtubule organization and role in organelle movement in living cells.
Interaction with kinesin motor proteins in neurons.
Very high resolutionSingle
fluorophore, specific
Low temporal resolution.
Low acquisition speed.
Phototoxicity.
Complex post-acquisition.
Need of special fluorophores.
[90,94,97]
1 Structured Illumination Microscopy. 2 Stimulated Emission Depletion. 3 Stochastic Optical Reconstruction Microscopy. 4 Photoactivation Localization Microscopy.
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Share and Cite

MDPI and ACS Style

Alberti, P.; Semperboni, S.; Cavaletti, G.; Scuteri, A. Neurons: The Interplay between Cytoskeleton, Ion Channels/Transporters and Mitochondria. Cells 2022, 11, 2499. https://doi.org/10.3390/cells11162499

AMA Style

Alberti P, Semperboni S, Cavaletti G, Scuteri A. Neurons: The Interplay between Cytoskeleton, Ion Channels/Transporters and Mitochondria. Cells. 2022; 11(16):2499. https://doi.org/10.3390/cells11162499

Chicago/Turabian Style

Alberti, Paola, Sara Semperboni, Guido Cavaletti, and Arianna Scuteri. 2022. "Neurons: The Interplay between Cytoskeleton, Ion Channels/Transporters and Mitochondria" Cells 11, no. 16: 2499. https://doi.org/10.3390/cells11162499

APA Style

Alberti, P., Semperboni, S., Cavaletti, G., & Scuteri, A. (2022). Neurons: The Interplay between Cytoskeleton, Ion Channels/Transporters and Mitochondria. Cells, 11(16), 2499. https://doi.org/10.3390/cells11162499

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop