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Review

Roles of Microglial Ion Channel in Neurodegenerative Diseases

by
Alexandru Cojocaru
1,2,†,
Emilia Burada
1,†,
Adrian-Tudor Bălșeanu
1,2,
Alexandru-Florian Deftu
3,4,
Bogdan Cătălin
1,2,*,
Aurel Popa-Wagner
5,* and
Eugen Osiac
6
1
Department of Physiology, University of Medicine and Pharmacy of Craiova, 200349 Craiova, Romania
2
Experimental Research Center for Normal and Pathological Aging, University of Medicine and Pharmacy of Craiova, 200349 Craiova, Romania
3
Pain Center, Department of Anesthesiology, Lausanne University Hospital (CHUV), CH-1011 Lausanne, Switzerland
4
Faculty of Biology and Medicine (FBM), University of Lausanne (UNIL), CH-1011 Lausanne, Switzerland
5
Chair of Vascular Neurology, Dementia and Ageing Research, University Hospital Essen, 45147 Essen, Germany
6
Department of Biophysics, University of Medicine and Pharmacy of Craiova, 200349 Craiova, Romania
*
Authors to whom correspondence should be addressed.
Authors with equal contribution.
J. Clin. Med. 2021, 10(6), 1239; https://doi.org/10.3390/jcm10061239
Submission received: 5 February 2021 / Revised: 2 March 2021 / Accepted: 11 March 2021 / Published: 17 March 2021

Abstract

:
As the average age and life expectancy increases, the incidence of both acute and chronic central nervous system (CNS) pathologies will increase. Understanding mechanisms underlying neuroinflammation as the common feature of any neurodegenerative pathology, we can exploit the pharmacology of cell specific ion channels to improve the outcome of many CNS diseases. As the main cellular player of neuroinflammation, microglia play a central role in this process. Although microglia are considered non-excitable cells, they express a variety of ion channels under both physiological and pathological conditions that seem to be involved in a plethora of cellular processes. Here, we discuss the impact of modulating microglia voltage-gated, potential transient receptor, chloride and proton channels on microglial proliferation, migration, and phagocytosis in neurodegenerative diseases.

1. Introduction

Neurological diseases are a major cause of death and disability worldwide [1]. Within the plethora of neurological diseases, a particular subcategory of pathologies are neurodegenerative diseases. In the most classical view, neurodegenerative diseases are the result of a slow neuronal loss. Alzheimer’s (AD) and Parkinson’s disease (PD) are the prototypical neurodegenerative diseases. However, neuronal loss can also occur in other pathologies that are not typically found in textbooks of neurology. Such pathologies follow acute events such as stroke or traumatic brain injury, where in the weeks and even years after the initial event, a cascade of neuronal loss is initiated [2,3]. Regardless of the primary cause of neurodegeneration, it will always involve neuroinflammation. This will lead to a so-called microglia activation in which the morphology the cells change dramatically [4]. This is because microglia are considered the first responders within the central nervous system (CNS) [5]. When activated, microglia show an increase in basic cellular functions such as proliferation, migration, cytokine secretion and phagocytosis [6,7,8]. Therefore, microglia morphology is directly linked to its intracellular activity.
Microglia morphology varies according to the phenotype expressed in response to certain stimuli and to the environment: it has a surveillance function with a high number of processes from which it can switch to an amoeboid form that is characterized by the presence of multiple intracellular vesicles with a role in phagocytosis [9]. The general consent is that there are two phenotypes, M1 and M2 which are present in various neurological disorders. M1 is considered a pro-inflammatory state and M2 denotes an anti-inflammatory state. The classic activation to the pro-inflammatory (M1) state is determined by IFN-γ and is associated with the production of TNF-α, IL-1b and nitric oxide (NO) [9,10]. The alternative anti-inflammatory state occurs in response to IL-4, IL-13, and arginase [11].
Microglia can have either a beneficial or a harmful role in neurodegenerative diseases. There are several studies claiming that the inflammatory process plays an important role in the disease progression by facilitating amyloid beta (Aβ) deposition, neuronal damage and cognitive deficits [12,13]. Animal models of AD with cerebral Aβ accumulation show an increased expression of pro-inflammatory chemokines and cytokines, such as TNF-α, IFN-γ, IL-1b, and IL-6 [14,15,16], and there is evidence showing that the anti-inflammatory profile of microglia has an important role in reducing Aβ accumulation in AD [17].
There are numerous experimental studies, including unpublished observations from our own group (Figure 1), that support changes in microglia behavior and morphology [18,19] in response to Aβ accumulation. Of note, even nanomolar concentrations of Aβ oligomers can activate microglia, via the potassium KCa3.1 channel [20]. As such, it does not seem so farfetched that microglia morphology could be an early indicator of AD.
Despite all the data related to the genetic involvement in AD patients under 65 years of age, less than 10% of the cases were found to be caused by a mutation in the genes coding for amyloid precursor proteins (APP), presenilin 1 (PSEN1) and/or presenilin 2 (PSEN2) [21]. Although several single genetic factors have been linked to the onset of late AD, it is now known that AD is a multifactorial disease [22]. Further, comorbidities such as diabetes, high blood pressure, obesity, dyslipidemia and other cerebrovascular disease have been shown to increase the risk of developing AD [23].
Since microglia ion channels are key regulators of microglial function and morphology, in this review, we aim to analyze their roles in cerebrovascular diseases and discuss how their modulation can be used for therapeutic purposes.

2. Microglia Potassium Channels

Microglia are found in all brain structures but in some regions their density is higher [24]. In AD, numerous activated microglia can be found in the hippocampus which is the most affected region of the brain [25]. A study conducted on isolated microglia, showed that only Kv1.3 channels have a direct role in cell proliferation. Of note, Kv1.5 channels are not involved in this process [26]. On the contrary, it seems that Kv1.5 channels predominate in surveillance microglia (M2 phenotype) while activated microglia switch to Kv1.3 channels [27]. However, since potassium channels have multiple functions and are found in all cells of the human body, these observations may be just the tip of the iceberg. These channels activation causes cell membrane hyperpolarization which in turn lead to calcium influx by activating calcium channels [28,29].
Various types of potassium channels in mice microglia were identified by different molecular techniques: voltage-gated potassium channels (Kv1.3, Kv1.1, Kv1.5, Kv3.1) [30] and calcium-activated potassium channels [22]. It has also been observed the presence of some particular potassium channels, such as Kv4.1 and K2P13.1 both in mice with experimentally induced autoimmune encephalomyelitis, and in human microglia cultures [31]. Microglia potassium channels have been reported to have a high heterogeneity in different species, displaying a variety of expression patterns according to microglia activation mode, M1 or M2 [32].
Neuroinflammation has been linked to microglia potassium channel changes that impact on cellular behavior [33]. Numerous studies conducted in animal models, especially in rodents, highlight the existence of potassium channels variability according to the rodent model [34]. For example, Kv1.3 has been involved in BV2 microglia migration [35] while Kir2.1 has been implicated in resting membrane potential of the spinal cord microglia [33]. After lipopolysaccharides (LPS) activation of microglia in the neonatal mice CNS, there was an increase in Kv1.3 expression in microglia, with no influence on the expression of Kir2.1 and KCa3.1 [36,37].
Studies conducted on human microglia from epilepsy patients, showed a higher expression of KCa3.1 and of the inward rectifier potassium channels, Kir, no matter if cells were LPS or IL-4 stimulated [38]. What was surprising, however, is that these Kv1.3 channels were specifically immunohistochemically labeled in the microglia surrounding amyloid plagues in AD patients [39], and in cells surrounding active multiple sclerosis lesions [40] and also in microglia of stroke patients [41]. This demonstrates that different neuropathological conditions can modulate potassium channels expression in a way that we cannot yet integrate in the overall pathology. Furthermore, potassium channels expression in microglia is age-dependent [42,43]. Thus, in elderly mice microglia have a more negative resting membrane potential, as well as an increased expression of inward and outward rectifier potassium channels, as demonstrated by studies conducted both in vitro and in vivo [44].
In neuroinflammatory processes that take place in AD, voltage-gated potassium channels, especially Kv1.3 channels, have a very important role in modulating microglial activity [39]. In primary cultures, microglia increase the expression of Kv1.3 after exposure to a small amount of soluble Aβ [45]. Still, another study has shown that the Aβ1-42 fraction modulates the activation/inactivation of Kv1.3 channels, without changing the channel conductance [46]. A similar activation was observed for KCa3.1 channels even before the plaque formation after exposure to very low concentrations of beta amyloid oligomers (ABO) [20]. Furthermore, exposure to ABO increased the number of immunoreactive CD11b microglia that express high levels of KCa3.1 in the brains of 5xFAD mice [47] and AD patients. Of note, application of senicapoc, a KCa3.1 blocker, reduced neuroinflammation and synaptic damage induced by ABO [47]. Using the same KCa3.1 blocker in mice models, which were injected with MPTP (1-methyl-4-phenyl-1,2,3,6-tetrahydropyridine), a Parkinson’s-inducing neurotoxin, improved the locomotion, attenuated microgliosis and neuroinflammation in the substantia nigra pars compacta and reduced dopaminergic (DA) neuronal loss [48]. All these observations seem to be related to the specific microglia role of KCa3.1 that was linked to NO and ABO-induced microglia neurotoxicity [20]. Interestingly, the administration of a broad-spectrum potassium channel inhibitor (4-aminopyridine) was successful in inhibiting microglial activity, and reduced the neuronal damage inflicted by the M1 phenotype [49].
Aminopyridine can also block Kv1.3 potassium channels and is able to reduce microglia reactive oxygen species production [50]. Long-term use of a Kv1.3 selective blocker, 5-(4-fenoxybutoxy)psoralen (PAP-1) in APP-PS1 mice, reduced Aβ accumulation causing synaptic recovery in the hippocampus [45]. An increase in microglia Kv1.3 expression was observed after 2 days following reversible middle cerebral artery occlusion (MCAo), with a peak at 8 days after reperfusion. A dose dependent response was observed in the infarction area by blocking Kv1.3 channels using PAP-1. This effect was attributed to the modulatory effect of PAP-1 on proinflammatory cytokines levels by reducing the concentrations of IL-1β and IFN-γ, with no effect on IL-10 and brain-derived nerve growth factor (BDNF) [51]. Similarly, the treatment of mice with TRAM-34 which blocks KCa3.1 channel, resulted in a reduced stroke volume and improved neurological deficits [41,52].

3. Microglia Calcium Channels

There are three main types of calcium channels found at the membrane level: voltage-gated calcium channels (VGCC), receptor-operated calcium channels (ROC) and storage operating calcium channels (SOC). Voltage-gated calcium channels are responsible for calcium homeostasis maintenance, gene expression control, various cellular processes, hormone secretion and cell apoptosis [53]. These channels are divided into high voltage-activated channels, Cav1 (Cav1.1–1.4), Cav2 (Cav2.2–2.3), and low voltage-activated channels Cav3 (Cav3.1–3.3) [54]. There are numerous studies carried out on glial cells mixed cultures, including microglia, that have demonstrated the existence and functionality of voltage-gated calcium channels in these cells [47,53,55,56].
One of the earliest observations regarding Ca2+ implications in AD was the exposure of human microglia cultures to Aβ that resulted both in increased human microglial proliferation and increased concentration of intracellular Ca2+. By blocking calcium channels using verapamil, nifedipine and diltiazem, a simultaneous decrease in both intracellular calcium levels and microglial proliferation was observed. Furthermore, by removing Ca2+ from the medium, the accumulation of intracellular Ca2+ was reversed, which emphasized the role of voltage-gated calcium channels in calcium influx [57]. Recently, the involvement of Cav2.1 and Cav2.2 channels in glial cell proliferation was reported [56], emphasizing the roles of voltage-gated calcium channels have in neurotoxicity [55].
Interspecies heterogeneity and the importance of calcium channels in AD is even more impressive considering that animal studies were not able to describe the existence and activity of voltage-gated calcium channels in microglia. It is not clear if this is due the reduced or even undetectable activity of these channels in rodent’s microglia [58]. Another aspect to consider is that increased long-term intracellular level of Ca2+ can influence signaling in microglia, leading to microglial activation and the progression of various conditions such as Alzheimer [58]. A recent study showed that LPS and IFN-γ stimulation caused microglial activation that led to both morphological changes and L-type currents activity adjustments in animal models of neurodegeneration. Moreover, after nifedipine or Bay-K8644 (a calcium antagonist) administration, led to changes in intracellular calcium concentration, suggesting that voltage-gated calcium channels are involved in microglia activation and induction of the pro-inflammatory phenotype [59].
Several calcium blockers have been involved in anti-aging research. For example, dihydropyridine-based calcium blockers activate the anti-aging neuroprotective protein, sirtuin 1 [60], or regulate and modulate autophagy [61]. Given the involvement of calcium channels in AD, several studies have investigated the possibility of modulating Ca2+ channels in AD [62,63]. For example, nivaldipine (a dyhidropyridine calcium channel blocker) was reported to improve the cognitive function of AD mice [64], while isradipine, a class of dihydropyridines that block Cav1.2 subtype, was reported to prevent memory loss by targeting the expression of L-type calcium channels (LTCC) in the CA1 region of the hippocampus in a mouse model of AD [65]. Furthermore, experimental in vivo studies found that mice receiving isradipine, have a decreased deposition of Aβ1-40 and Aβ1-42, and could regulate autophagy via the LC3B protein [66]. However, some experimental data showed an increase in the Aβ1-42 secretion after the nimodipine treatment [67]. However, in clinical trials, the effect of nimodipine could not be confirmed [68]. In Cav1.2 knockdown mice, administration of MPTP resulted in intensive degeneration of dopaminergic neurons and accompanying behavioral deficits, suggesting that blocking these microglia channels in PD could have a detrimental effect [69].
Apo-E and the associated Ca2+ signaling have been involved in neuronal damage inflicted by stroke [70] or by Abeta accumulation in AD [71,72,73]. Further, feeding Apo-E knockout mice on a high-cholesterol diet (HCD) for 10 weeks, caused a more severe ischemic injury when compared to mice fed a normal diet in a MCAo model of stroke. Of note, administration of amlodipine, a non-selective calcium blocker to the HCD mice for 10 weeks, was able to reduce the size of the ischemic lesion, improve neurological deficiency and decrease the production of super-oxides in the perilesional area. Similar results were reported for animals that were treated for two weeks only [70].
Given the advanced age of most AD patients, it is unclear if AD itself can be a risk factor for the new SARS COV2 infection [74,75]. The effect of SARS COV2 infection on the brain will only be assessed in the long run. However, we know that viral infections can have a profound effect on VGCC, ROC, SOC, transient receptor-potential ion channels, and that Ca2+-ATPase disturbances cause the growth of intracellular Ca2+ [76,77,78]. There are no studies as yet to show the interaction between SARS COV 2 and Ca2+, but having a sequence homology to other coronaviruses (SARS and MERS COV) in which the link with Ca2+ has been demonstrated [79,80], we can assume that the new virus may be a risk factor for AD. However, although the studies on SARS and MERS COV have failed to show an aggravation of AD secondary to the infection [81], the new SARS COV2 could be a different story.

4. Microglia TRP Channels

Another class of channels expressed in microglia cells that are of particular interest for neurodegeneration is represented by the potential transient receptor (TRP) channels [22,82]. TRP channels are expressed both in neuronal and other types of immune and inflammatory cells [83,84]. Among the six TRP channel subfamilies, only the TRPC (canonical), TRPV (vanilloid), TRPM (melastatin) are expressed in microglia [85,86,87]. Therefore, in this review we will focused on just the aforementioned three channel subfamilies.
TRPC are nonselective Ca2+ permeable cation channels that are well expressed both in neurons and glial cells [88]. The expression of TRPC seems to differ between cultured microglia where TRPC1, TRPC3 and TRPC6 are well expressed [89] and in vivo microglia where TRPC3 is poorly expressed [90]. The importance of these channels in neurodegenerative disease is taking a center stage as Ca2+ signaling is more and more linked both to cell death triggering and cell death inhibition [91,92]. The altered TRPC channel function in AD is still a speculation. However, theories regarding free radical production, endothelial reticulum stress and mitochondrial dysfunction all seem to imply alterations in Ca2+ homeostasis and TRPC channels [93].
The levels of BDNF, a known activator and upregulator of TRPC3 channels [94,95] are known to be negatively regulated during AD progression [96,97], and this is independent of BDNF polymorphisms [98]. Given the importance of TRPC3 in oxidative stress [94] and the fact that deleting the PS1 gene results in a higher intracellular concentration of Ca2+ [99], it is possible that these channels could be implicated in either the onset or the progression of the disease.
Inhibition of TRPC channels led to a reduction in the number of microglia and astrocytes around the inflammatory site, decreased cerebral edema and neuronal damage and improved neurological deficit after cerebral haemorrhage, thus highlighting their importance in the development of neurodegenerative diseases [100].
The increased oxidative stress in AD and subsequent mitochondrial dysfunction [101,102] seems to be linked to another TRP microglial channel from the vanilloid family: TRPV1. However, pharmacological manipulation of TRPV1 channels yielded conflicting results. For example, the administering of capsaicin, a TRPV1 channel agonist, to dorsal root ganglion neurons, caused an increased Ca2+ influx leading, in turn, to elevated levels of reactive oxygen species (ROS) [103]. By modulating the TRPV1 activity using capsaicin in an experimental model of PD, a positive effect was reported for survival of dopaminergic neurons in the substantia nigra. The effect was reversed when an antagonist was given [104]. Although microglia express other TRPV channels, like TRPV4 [105] and TRPV2 [106], no data of their involvement in neurodegeneration is available. However, data regarding TRPV4, for example, show a potential role in decreasing microglia activation and TNF-α production [102,107], which could theoretically, prevent excessive microglial activation and decreased neuronal apoptosis under pathological conditions [108].
Regarding TRPV2 channels, their physiological role in microglial cells is still unknown, but these channels are known to be located in the endoplasmic reticulum, where high temperature, mechanical factors and other ligands have been shown to activate them [109]. Because TRPV2 channels have a role in the intracellular signaling mechanism of Ca2+, they might play a role in microglial activation, too [106].
Known for their involvement in the persistence of neuropathic pain, an elevation of chemokine CXCL2 (C-X-C motif-ligand 2) and NO in microglia aggravates the pro-nociceptive response caused by inflammation [110,111]. In this context, TRPM2 channels have been recently linked to AD, as a potential molecular pathway of microglia activation following increases in Aβ-42 aggregates [112]. This is of particular interest because mice lacking TRPM2 and producing large quantities of Aβ were reported to have an improved age-related spatial memory deficit and a reduction in microglial activation in the hippocampus [113]. Although important for microglia migration and activation [114,115], the involvement of TRPM4 channels in neurodegeneration has yet to be determined.

5. Microglia Voltage-Gated Sodium Channels

Voltage-gated sodium channels (Nav) play an important role in all excitable cells. Nav are formed by associating alpha and beta subunits. Alpha subunits are activated by changes in the membrane potential and act as “voltage sensor” [116]. The role of beta subunits is to control channel gating and also act as cell adhesion molecules by interacting with the cytoskeleton and extracellular matrix [117].
Cellular membrane depolarization generates Na+ transient currents which initiate action potentials in myocardium, skeletal muscle and neurons. Although microglia are non-excitable cells, they express sodium channels in both physiological and pathological conditions [118,119]. In 1952, Huskin and Huexley first described sodium currents using patch clamp techniques. Since 1980, nine alpha-forming subunits of sodium channels, Nav1.1–Nav1.9, encoded by the SCN1A-SCN11A genes, have been discovered [120]. Further studies showed some channel specificity for certain cell types: neurons express Nav1.1–Nav1.3 and Nav1.6–Nav1.8 while Nav1.4 is found in myocytes and Nav1.5 is expressed by cardiomyocytes [121,122]. A great controversy over the functional role of these channels has ignited when such channels were discovered in non-excitable immune system cells, such as lymphocytes [123,124,125,126,127], macrophages [128,129], fibroblasts [130], osteoblasts [118] and other cells.
Nav in glial cells have been highlighted for the first time by blocking the fast-activating and fast-inactivating currents using specific antagonists: saxitoxin (STX) and tetrodotoxin (TTX) on astrocytes [131] and Schwann cells cultures [132]. Subsequent studies have shown the presence of these channels in oligodendrocytes [133,134] and microglia [135,136]. The patch-clamp technique has allowed to classify the alpha subunits of the sodium channels by their sensitivity to nanomolar concentrations, respectively micromolar concentrations of TTX. It has been observed that Nav1.1-Nav1.4, Nav1.6 and Nav1.7 subunits are blocked by nanomolar concentrations of (TTX-S) while Nav1.5, Nav1.8 and Nav1.9 subunits are blocked by micromolar concentrations of (TTX-R) [135,137]. Although microglia in the CNS express several voltage-gated sodium channels, Nav1.1, Nav1.5 and Nav1.6, only the latter isoform is predominantly active [137]. Thus, despite low levels of Nav1.6 in the CNS [138], highly increased levels of Nav1.6 were observed in experimental induced autoimmune encephalomyelitis (EAE) [139]. This indicates that the expression levels of microglial Nav1.6 channels is determined by the severity of the disease, and reflect the morphological transformation of microglia into the amoeboid form as demonstrated in optic nerve and spinal cord cells [139]. Another study performed on microglia cell cultures showed that cell activation using adenosine triphosphate (ATP) increases Nav1.6 expression, especially in lamellipodia [135].
Nav involvement in AD is not precisely known. However, according to a study, exposure of human microglial cells to amyloid beta did not cause significant changes in sodium flow through Nav1.5 channels [136]. This could be due to a number of factors, such as non-standardized laboratory protocols, preparation of exogenous beta amyloid or availability of various Aβ species.
Microglia in the CNS are activated under certain pathological conditions and is characterized by migration, phagocytosis, secretion of chemokines, cytokines and ROS [9,140,141]. In an EAE mouse model, the administration of phenytoin, an antiepileptic sodium channel blocker, led to a four-fold decrease in the number of microglia [142]. Using a similar rat model of EAE, a specific axonal protection was observed after safinamide (a sodium blocker) administration. Although safinamide was administered after the onset of EAE symptoms, only 10% of the treated rats developed bilateral paralysis compared to 65% in the control group treated [143] proving once more the need to better understand how ion channels can be used to modulate the inflammatory response.
By blocking sodium channels, especially Nav1.6, certain microglial functions can be modulated [137]. Nav blockade with TTX and phenytoin led to an approximately 40% reduction of phagocytosis in cultures of lipopolysaccharide-stimulated microglia (LPS) and approximately 65% reduction in the number of microglia derived from mice that do not express Nav1.6 [139,144]. Furthermore, the use of TTX and phenytoin, reduces inflammatory cytokines and chemokines release, including interleukin-1α, IL-1b and TNF-α from reactive microglia, but with minimal effects on IL-2, IL-4, IL-10, IL-6, monocyte chemotactic protein 1 (MCP-1), and transforming growth factor α (TGF-α). Also, safinamide treatment reduces superoxide production and increased synthesis of the antioxidant glutathione in activated microglial culture [143].
Another essential function of microglia is to migrate to regions of the nervous system where various pathological processes take place. The migration process is complex and very well coordinated and involves several cellular pathways such as transduction of external migratory signals, adhesion and withdrawal of the membrane, microglial polarization and rearrangement of cytoskeletal proteins [22]. The first stage of the migration process is lamellipodia formation [145], which is a membrane prominence containing actin F, actin binding proteins, Ca2+ and GTP binding signaling proteins, and the Rac protein [146]. One study analyzed the role of Nav in the migration process of microglia and reported a 50% reduction in the number of microglia that was activated by exposure to ATP followed by TTX or phenytoin administration [135,137].
In glia cells, Na+ ions play a role in maintaining both intracellular and extracellular calcium through the Na+/Ca2+ exchanger (NCX). Na+ is transported according to the concentration gradient, i.e., Na+ is introduced into cells and Ca2+ is exported. In the case that Na+ concentration is decreased or the cell is depolarized, NCX exports Na+ and imports Ca2+ in an attempt to restore the normal membrane potential [147]. In traumatic brain injuries, the flow of Na+ increases through voltage-gated channels and causes a reverse working mode of the NCX that leads to an increased concentration of intracellular Ca2+ [147]. Interestingly, GABA administration led to increased levels of intracellular Ca2+ and Na+, and consequently, to precipitous microglial migration [148]. It has been observed that administration of specific siRNAs blocks Na+ channels and leads to a decrease in intracellular Na+ and Ca2+, thereby reducing migration of microglia cells [148].
Blocking NCX with TTX or Nav1.5 siRNA reduces the wound healing time [149]. Given that both Rac1 (a protein with role in migration) and mitogen-activated protein kinase (MAPK), a key enzyme involved in proinflammatory processes, are modulated by Ca2+ concentration [150] that in turn are modulated by Na+ levels, blockade of voltage-gated sodium channels can inhibit microglial migration [135,137].
Nav1.6 microglial channels have a decreased expression in the normal CNS and an increased expression in neuropathologies [139]. This seems to be true for both animal models where the injection of MPTP in C57BL/6J mice generates an increase in microglia activation and an upregulation of microglial Nav1.6 channel [139,151]. This effect was reversed with zonisamide [151]. Taken together, this data shows that chronic neurodegeneration is associated with changes in sodium channel expression in microglia [151] and identify a new potential target in the treatment of neurodegenerative diseases. The in vivo role of these channels in AD is less known. However, given the central role of microglia in AD and the involvement of sodium channels in microglial activity, future in vivo research is needed to assess the therapeutic potential of sodium channels for AD.

6. Other Microglial Channels

Microglial voltage-gated proton channels (Hv1) become active in situations when there is an increased synthesis of nitrogen oxide (NOx) and ROS, thereby maintaining a stable intracellular pH level [152,153]. Due to the nature of these channels, pathologies that change the pH of the environment can benefit from Hv1 channel modulation. As pH is heavily impacted in ischemic lesions, it is not surprising that blocking Hv1 channels proved being beneficial. After limiting the blood flow to the brain of Hv1 knockout mice, an attenuated disruption of white matter integrity was observed. The same animals also had a decrease in the production of ROS and proinflammatory cytokines. Moreover, Hv1-/- mice showed increased oligodendrocyte precursor cell (OPC) proliferation and differentiation into oligodendrocytes and a dominant M2 microglial polarization, all of which suggest that Hv1 might be a therapeutic target [154].
As the link between hypoxia and AD is becoming more evident, the involvement of microglial Hv1 in cerebral pathologies is taking a center stage [152,155]. In AD, there is an increase of microglia ROS and as such, the function of these channels could be altered in AD, but a direct link between microglia Hv1 channels and AD has yet to be established. However, an in vitro study conducted on OPC co-cultured with either wild-type or Hv1-knockout microglia, showed that Hv1 deficiency decreases the production of proinflammatory mediators, an attenuation of OPC apoptosis and an increase in OPCs proliferation and differentiation [156]. Although the findings that imply an involvement of Hv1 channels in AD are compelling, in situ studies were unable to detect any proton conduction [157].
Microglia chloride channels. Although no direct data links AD to microglia chloride channels, the expression of these channels increases regularly in response to neurotoxicity [158], possible because these channels are volume regulated anion channel, which are glutamate permeable [159]. Considering the involvement of the glutamatergic system in learning and memory, it is possible that a disturbance in glutamate neurotransmission can be one of the underlying causes of AD. Microglial activation, as seen in AD (Figure 2), generates massive release of glutamate, especially under acute neuropathology, leading to an increase in glutamate-induced chloride current causing neuronal damage [160,161]. The glutamate imbalance hypothesis was tested in a clinical trial that used memantine to regulate glutamate levels in patients with moderate and severe AD. The results, nevertheless, did not show any delay or halt in disease progression [162,163].

7. Ion Channels Modulation in Neurodegenerative Diseases. In Vivo Studies

Few studies targeting in vivo microglia ion channel modulation have been performed. This is mainly due to the lack of microglia specific ion channel blockers. Most of the in vivo studies aimed at blocking certain ion channels have shown a possible beneficial effect in the evolution of the disease. However, it was difficult to assess if the effect was a direct consequence of microglia channels modulation or other mechanisms were involved.
Microglia morphology can change in response to neuroinflammation and it has been taken for granted that any alteration in microglia response can be seen as a marker of successful ion channel modulation. This is especially true for potassium channels. For example, the extent of microglia activation did not change in response to blockade of ATP-mediated potassium channel, although, some improvements were observed in neurological deficits after middle cerebral artery occlusion (MCAo) [164].
When microglia detect “find me” or “eat me” signals, a plethora of intracellular changes occur. Some of them have a direct implication on ion channels, notable KCa3.1 and Kv1.3. Thus, using senicapoc to block KCa3.1 channels, improved the locomotor function in a mouse model of PD [48] while a decrease in neuroinflammation and degradation of neuronal synapses were reported in AD mice [47].
A cellular hallmark of microglia activation is the upregulation of Kv1.3 channels [39]. Blocking Kv1.3 with PAP-1A at 12 h after reperfusion, caused a reduction in microglial activation and perilesional inflammation accompanied by a decrease in the infarction area and neurological deficit in both adult male C57BL/6J mouse and adult male Wistar rat models of stroke [51]. However, not all studies were able to show a positive effect. For example, microglia activation was reported despite treatment with the K channels blocker, glibenclamide [164].
Due to the fact that the majority of so called “resting” microglia show almost no Ca signaling, it was hypothesized that blocking Ca signals in activated microglia could impact the outcome of some neuropathologies. This approach showed promise when the neuroprotective effect of Ca blockade was demonstrated in 16-week old male C57/B16 mice in which stroke was induced by MCAo. Thus, a reduction in the infarction area was observed in mice that were administered intra-arterial verapamil immediately after reperfusion. However, the results also indicated a decrease in astrogliosis and cellular apoptosis and an increase in neuron survival and functional outcome at 7 days after stroke [165]. Such effects cannot be attributed to microglia Ca blocking. The use of Verapamil in a mouse model of amyotrophic lateral sclerosis had a neuroprotective effect and increased the lifespan of mice most likely via a reduction in glia activation [166].
Ca blockers were also tested in clinical trials. One such trial was a pilot study in children showing that the administration of verapamil in addition to basic antiepileptic treatment reduced the incidence of all types of epileptic seizures in patients with Dravet syndrome but had no effect in patients with Lennox-Gastaut [167]. In another pilot study, performed on adults with epilepsy of different types and etiologies who were under antiepileptic treatment, co-administration of a small dose of 20 mg verapamil three times a day resulted in a drop in the frequency of epileptic in most patients. However, some of the participants showed no improvements [168]. Similarly, amlodipine (a non-selective calcium blocker) was also tested in different pathologies. In one report, the oral administration of amplodipine modulated superoxides production, improved neurological deficit, and reduced infarction area [70].
In vivo studies using Ca blockers have yielded conflicting results. Thus, treatment with isradipine, a Ca1.2 channel blocker, led to decreased levels of Aβ1-40 and 1-42 plaques [66] and prevented memory loss [65]. Nivaldipine, a non-selective calcium blocker, showed positive results for the cognitive function in a mouse model of AD [64]. However, the administration of nimodipine did not have the expected results in reducing Aβ1-42 secretion, suggesting a possible mechanism of amyloid plaque formation that is independent of Ca2+ channels [67]. One clinical trial using Ca blockers to treat AD patients, could not reach conclusive results, i.e., there were no significant differences between treated group and placebo. However, some positive effects were observed in several subgroups [68].
Besides the known neurological effects of sodium channels blockers, their administration to EAE mice diminished the number of activated microglia [142].

8. The Future of Microglia Ion Channels in Pathology

With our increased understanding of physiological and pathological roles ion channels play in the CNS, and with our interest shifting from a neuro-centric view of the CNS to a more integrative one, the role of ion channels in microglia are slowly starting to be explored in more detail.
Current studies conducted to investigate such roles are mainly performed on cultured cells and animal models. The biggest impediment in studying microglial ion channels is the species heterogeneity that exists between different microglia and the variability of channel expression during development and aging [169]. The current trend is to study in vitro, the interaction between microglia and human-induced pluripotent stem cells, especially those obtained from patients with specific neurodegenerative disorders, but the major disadvantage of these cultures is the lack of standard protocols for cell culture and differentiation [170]. For this reason, studies involving human subjects have not been successful [68].
We now know that the modulation of different channels can be achieved using pharmacological drugs such as flecainide [143], safinamide [143], carbamazepine [6], or phenytoin [6]. The neuroprotective effect of these drugs is mediated by blocking intracellular calcium accumulation in glial cells in response to neuroinflammation [171]. Indeed, recent studies showed that blocking calcium channels in microglia limits the pathological damage, thus paving the way for future therapeutic regimens in neurodegenerative diseases [172]. More specific effects, like inhibition of microglial phagocytic activity were seen by blocking KCa3.1 or Kv1.3 [173]. However, this seems to be just the tip of the iceberg as more and more studies have linked ion changes in microglia membrane to even more complex phenomena such as autophagy [174,175,176], cell death and apoptosis [177,178,179,180,181]. It seems that autophagy modulation by blocking Ca and KCa3.1 or Kv1.3 channels is a potential challenging issue that we need to address in aging and/or neurodegeneration.

9. Conclusions

The importance of ion balance in the normal life of a cell is well known. The specific problem of targeting the ion changes in pathology is not the lack of evidence shoving its importance, but rather the technical difficulties that needs to be overcome. This is especially true when one considers the impact of several studies that have tried to modulate microglia ion permeability by targeting the P2X and/or P2Y APT receptor families. Multiple studies have shown a benefit in blocking microglia P2X channels after epileptic seizures [182,183], stroke [184], and traumatic brain injury [185]. The main problem in the field is the lack of results produced in in vivo studies that target microglia specific ion channels. A better understanding of the molecular pathways underlying ion channels activity in microglia shall allow us to develop more specific microglia channel blockers for the treatment of CNS pathologies.

Author Contributions

Conceptualization, B.C., A.P.-W. and A.C.; Writing―Original Draft Preparation, B.C., E.B., A.-T.B., E.O., A.-F.D.; Writing―Review & Editing, A.P.-W.; Project Administration, B.C.; Funding Acquisition, B.C. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by UEFISCDI, grant number TE 150 (PN-III-P1-1.1-TE-2019-1366) to BC.

Institutional Review Board Statement

The study was conducted according to the guidelines of the Declaration of Helsinki, and approved by the Institutional Ethics Committee of University of Medicine and Pharmacy of Craiova (protocol code 122/19/11/2020).

Informed Consent Statement

Patient consent was waived due to the lack of patient involvement. This is a review of available literature.

Data Availability Statement

All data can be obtained upon request.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Feigin, V.L.; Nichols, E.; Alam, T.; Bannick, M.S.; Beghi, E.; Blake, N.; Culpepper, W.J.; Dorsey, E.R.; Elbaz, A.; Ellenbogen, R.G.; et al. Global, regional, and national burden of neurological disorders, 1990–2016: A systematic analysis for the global burden of disease study 2016. Lancet Neurol. 2019, 18, 459–480. [Google Scholar] [CrossRef] [Green Version]
  2. Baron, J.-C.; Yamauchi, H.; Fujioka, M.; Endres, M. Selective neuronal loss in ischemic stroke and cerebrovascular disease. J. Cereb. Blood Flow Metab. Off. J. Int. Soc. Cereb. Blood Flow Metab. 2013, 34, 2–18. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  3. Jiang, M.Q.; Zhao, Y.-Y.; Cao, W.; Wei, Z.Z.; Gu, X.; Wei, L.; Yu, S.P. Long-term survival and regeneration of neuronal and vasculature cells inside the core region after ischemic stroke in adult mice. Brain Pathol. 2016, 27, 480–498. [Google Scholar] [CrossRef] [PubMed]
  4. Nimmerjahn, A.; Kirchhoff, F.; Helmchen, F. Resting microglial cells are highly dynamic surveillants of brain parenchyma in vivo. Science 2005, 308, 1314–1318. [Google Scholar] [CrossRef] [Green Version]
  5. Cătălin, B.; Cupido, A.; Iancău, M.; Albu, C.V.; Kirchhoff, F. Microglia: First responders in the central nervous system. Romanian J. Morphol. Embryol. Rev. Roum. Morphol. Embryol. 2013, 54, 467–472. [Google Scholar]
  6. Black, J.A.; Liu, S.; Carrithers, M.; Carrithers, L.M.; Waxman, S.G. Exacerbation of experimental autoimmune encephalomyelitis after withdrawal of phenytoin and carbamazepine. Ann. Neurol. 2007, 62, 21–33. [Google Scholar] [CrossRef]
  7. Wu, W.K.K.; Li, G.R.; Wong, H.P.S.; Hui, M.K.C.; Tai, E.K.K.; Lam, E.K.Y.; Shin, V.Y.; Ni Ye, Y.; Li, P.; Yang, Y.H.; et al. Involvement of Kv1.1 and Nav1.5 in proliferation of gastric epithelial cells. J. Cell. Physiol. 2006, 207, 437–444. [Google Scholar] [CrossRef] [PubMed]
  8. Wu, W.K.K.; Li, G.R.; Wong, T.M.; Wang, J.Y.; Yu, L.; Cho, C.H. Involvement of voltage-gated K+ and Na+ channels in gastric epithelial cell migration. Mol. Cell. Biochem. 2007, 308, 219–226. [Google Scholar] [CrossRef]
  9. Colton, C.A. Heterogeneity of microglial activation in the innate immune response in the brain. J. Neuroimmune Pharmacol. Off. J. Soc. NeuroImmune Pharmacol. 2009, 4, 399–418. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  10. Colton, C.A.; Wilcock, D.M. Assessing activation states in microglia. CNS Neurol. Disord. Drug Targets 2010, 9, 174–191. [Google Scholar] [CrossRef] [PubMed]
  11. Block, M.L.; Zecca, L.; Hong, J.-S. Microglia-mediated neurotoxicity: Uncovering the molecular mechanisms. Nat. Rev. Neurosci. 2007, 8, 57–69. [Google Scholar] [CrossRef] [PubMed]
  12. Gong, C.-X. Hyperphosphorylation of Microtubule-Associated Protein Tau: A Promising Therapeutic Target for Alzheimer Disease. Curr. Med. Chem. 2008, 15, 2321–2328. [Google Scholar] [CrossRef] [PubMed]
  13. Nelson, P.T.; Alafuzoff, I.; Bigio, E.H.; Bouras, C.; Braak, H.; Cairns, N.J.; Castellani, R.J.; Crain, B.J.; Davies, P.; Del Tredici, K.; et al. Correlation of alzheimer disease neuropathologic changes with cognitive status: A review of the literature. J. Neuropathol. Exp. Neurol. 2012, 71, 362–381. [Google Scholar] [CrossRef] [PubMed]
  14. Zheng, C.; Zhou, X.-W.; Wang, J.-Z. The dual roles of cytokines in Alzheimer’s disease: Update on interleukins, TNF-α, TGF-β and IFN-γ. Transl. Neurodegener. 2016, 5, 1–15. [Google Scholar] [CrossRef] [Green Version]
  15. Cunha, R.A.; Oliveira, C. Neuroinflammation, oxidative stress and the pathogenesis of alzheimers disease. Curr. Pharm. Des. 2010, 16, 2766–2778. [Google Scholar] [CrossRef]
  16. Sastre, M.; Klockgether, T.; Heneka, M.T. Contribution of inflammatory processes to Alzheimer’s disease: Molecular mechanisms. Int. J. Dev. Neurosci. Off. J. Int. Soc. Dev. Neurosci. 2006, 24, 167–176. [Google Scholar] [CrossRef]
  17. Chakrabarty, P.; Li, A.; Ceballos-Diaz, C.; Eddy, J.A.; Funk, C.C.; Moore, B.; Di Nunno, N.; Rosario, A.M.; Cruz, P.E.; Verbeeck, C.; et al. IL-10 Alters immunoproteostasis in app mice, increasing plaque burden and worsening cognitive behavior. Neuron 2015, 85, 519–533. [Google Scholar] [CrossRef] [Green Version]
  18. Davies, D.S.; Ma, J.; Jegathees, T.; Goldsbury, A.C. Microglia show altered morphology and reduced arborization in human brain during aging and Alzheimer’s disease. Brain Pathol. 2016, 27, 795–808. [Google Scholar] [CrossRef]
  19. Paasila, P.J.; Davies, D.S.; Kril, J.J.; Goldsbury, C.; Sutherland, G.T. The relationship between the morphological subtypes of microglia and Alzheimer’s disease neuropathology. Brain Pathol. 2019, 29, 726–740. [Google Scholar] [CrossRef] [Green Version]
  20. Maezawa, I.; Zimin, P.I.; Wulff, H.; Jin, L.-W. Amyloid-β protein oligomer at low nanomolar concentrations activates microglia and induces microglial neurotoxicity. J. Biol. Chem. 2011, 286, 3693–3706. [Google Scholar] [CrossRef] [Green Version]
  21. Gatz, M.; Reynolds, C.A.; Fratiglioni, L.; Johansson, B.; Mortimer, J.A.; Berg, S.; Fiske, A.; Pedersen, N.L. Role of genes and environments for explaining alzheimer disease. Arch. Gen. Psychiatry 2006, 63, 168–174. [Google Scholar] [CrossRef] [PubMed]
  22. Kettenmann, H.; Hanisch, U.-K.; Noda, M.; Verkhratsky, A. Physiology of Microglia. Physiol. Rev. 2011, 91, 461–553. [Google Scholar] [CrossRef] [PubMed]
  23. Mayeux, R.; Stern, Y. Epidemiology of alzheimer disease. Cold Spring Harb. Perspect. Med. 2012, 2, a006239. [Google Scholar] [CrossRef] [Green Version]
  24. Lawson, L.J.; Perry, V.H.; Dri, P.; Gordon, S. Heterogeneity in the distribution and morphology of microglia in the normal adult mouse brain. Neuroscience 1990, 39, 151–170. [Google Scholar] [CrossRef]
  25. Wu, Y.-P.; Ling, E.-A. Induction of microglial and astrocytic response in the adult rat lumbar spinal cord following middle cerebral artery occlusion. Exp. Brain Res. 1998, 118, 235–242. [Google Scholar] [CrossRef]
  26. Kotecha, S.A.; Schlichter, L.C. A Kv1.5 to Kv1.3 Switch in Endogenous Hippocampal Microglia and a Role in Proliferation. J. Neurosci. 1999, 19, 10680–10693. [Google Scholar] [CrossRef] [Green Version]
  27. Pannasch, U.; Färber, K.; Nolte, C.; Blonski, M.; Chiu, S.Y.; Messing, A.; Kettenmann, H. The potassium channels Kv1.5 and Kv1.3 modulate distinct functions of microglia. Mol. Cell. Neurosci. 2006, 33, 401–411. [Google Scholar] [CrossRef]
  28. Kraft, R. STIM and ORAI proteins in the nervous system. Channels 2015, 9, 245–252. [Google Scholar] [CrossRef] [Green Version]
  29. LaLonde, J.; Saia, G.; Gill, G. Store-operated calcium entry promotes the degradation of the transcription factor sp4 in resting neurons. Sci. Signal. 2014, 7, ra51. [Google Scholar] [CrossRef] [Green Version]
  30. Grissmer, S.; Nguyen, A.N.; Aiyar, J.; Hanson, D.C.; Mather, R.J.; A Gutman, G.; Karmilowicz, M.J.; Auperin, D.D.; Chandy, K.G. Pharmacological characterization of five cloned voltage-gated K+ channels, types Kv1.1, 1.2, 1.3, 1.5, and 3.1, stably expressed in mammalian cell lines. Mol. Pharmacol. 1994, 45, 1227–1234. [Google Scholar]
  31. Butovsky, O.; Jedrychowski, M.P.; Moore, C.S.; Cialic, R.; Lanser, A.J.; Gabriely, G.; Koeglsperger, T.; Dake, B.; Wu, P.M.; Doykan, C.E.; et al. Identification of a unique TGF-β–dependent molecular and functional signature in microglia. Nat. Neurosci. 2014, 17, 131–143. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  32. Nguyen, H.M.; Blomster, L.V.; Christophersen, P.; Wulff, H. Potassium channel expression and function in microglia: Plasticity and possible species variations. Channels 2017, 11, 305–315. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  33. Gattlen, C.; Deftu, A.-F.; Tonello, R.; Ling, Y.; Berta, T.; Ristoiu, V.; Suter, M.R. The inhibition of Kir2.1 potassium channels depolarizes spinal microglial cells, reduces their proliferation, and attenuates neuropathic pain. Glia 2020, 68, 2119–2135. [Google Scholar] [CrossRef]
  34. Lam, D.; Lively, S.; Schlichter, L.C. Responses of rat and mouse primary microglia to pro- and anti-inflammatory stimuli: Molecular profiles, K+ channels and migration. J. Neuroinflamm. 2017, 14, 1–30. [Google Scholar] [CrossRef] [Green Version]
  35. Anton, R.; Ghenghea, M.; Ristoiu, V.; Gattlen, C.; Suter, M.-R.; Cojocaru, P.; Popa-Wagner, A.; Catalin, B.; Deftu, A.-F. Potassium channels Kv1.3 and Kir2.1 but Not Kv1.5 Contribute to BV2 cell line and primary microglial migration. Int. J. Mol. Sci. 2021, 22, 2081. [Google Scholar] [CrossRef] [PubMed]
  36. Nguyen, H.M.; Grössinger, E.M.; Horiuchi, M.; Davis, K.W.; Jin, L.-W.; Maezawa, I.; Wulff, H. Differential Kv1.3, KCa3.1, and Kir2.1 expression in “classically” and “alternatively” activated microglia. Glia 2017, 65, 106–121. [Google Scholar] [CrossRef] [PubMed]
  37. Di Lucente, J.; Nguyen, H.M.; Wulff, H.; Jin, L.-W.; Maezawa, I. The voltage-gated potassium channel Kv1.3 is required for microglial pro-inflammatory activation in vivo. Glia 2018, 66, 1881–1895. [Google Scholar] [CrossRef]
  38. Blomster, L.V.; Strøbaek, D.; Hougaard, C.; Klein, J.; Pinborg, L.H.; Mikkelsen, J.D.; Christophersen, P. Quantification of the functional expression of the Ca(2+)-activated K+channel KCa3.1 on microglia from adult human neocortical tissue. Glia 2016, 64, 2065–2078. [Google Scholar] [CrossRef] [Green Version]
  39. Rangaraju, S.; Gearing, M.; Jin, L.-W.; Levey, A. Potassium channel Kv1.3 Is highly expressed by microglia in human alzheimer’s disease. J. Alzheimer’s Dis. 2015, 44, 797–808. [Google Scholar] [CrossRef] [Green Version]
  40. Rus, H.; Pardo, C.A.; Hu, L.; Darrah, E.; Cudrici, C.; Niculescu, T.; Niculescu, F.; Mullen, K.M.; Allie, R.; Guo, L.; et al. The voltage-gated potassium channel Kv1.3 is highly expressed on inflammatory infiltrates in multiple sclerosis brain. Proc. Natl. Acad. Sci. USA 2005, 102, 11094–11099. [Google Scholar] [CrossRef] [Green Version]
  41. Chen, Y.-J.; Nguyen, H.M.; Maezawa, I.; Grössinger, E.M.; Garing, A.L.; Köhler, R.; Jin, L.-W.; Wulff, H. The potassium channel KCa3.1 constitutes a pharmacological target for neuroinflammation associated with ischemia/reperfusion stroke. J. Cereb. Blood Flow Metab. 2016, 36, 2146–2161. [Google Scholar] [CrossRef] [Green Version]
  42. Arnoux, I.; Hoshiko, M.; Mandavy, L.; Avignone, E.; Yamamoto, N.; Audinat, E. Adaptive phenotype of microglial cells during the normal postnatal development of the somatosensory “Barrel” cortex. Glia 2013, 61, 1582–1594. [Google Scholar] [CrossRef]
  43. Arnoux, I.; Hoshiko, M.; Diez, A.S.; Audinat, E. Paradoxical effects of minocycline in the developing mouse somatosensory cortex. Glia 2013, 62, 399–410. [Google Scholar] [CrossRef]
  44. Schilling, T.; Eder, C. Microglial K + channel expression in young adult and aged mice. Glia 2015, 63, 664–672. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  45. Maezawa, I.; Nguyen, H.M.; Di Lucente, J.; Jenkins, D.P.; Singh, V.; Hilt, S.; Kim, K.; Rangaraju, S.; I Levey, A.; Wulff, H.; et al. Kv1.3 inhibition as a potential microglia-targeted therapy for Alzheimer’s disease: Preclinical proof of concept. Brain 2017, 141, 596–612. [Google Scholar] [CrossRef] [Green Version]
  46. Lioudyno, M.I.; Broccio, M.; Sokolov, Y.; Rasool, S.; Wu, J.; Alkire, M.T.; Liu, V.; Kozak, J.A.; Dennison, P.R.; Glabe, C.G.; et al. Effect of Synthetic Aβ Peptide Oligomers and Fluorinated Solvents on Kv1.3 Channel Properties and Membrane Conductance. PLoS ONE 2012, 7, e35090. [Google Scholar] [CrossRef] [Green Version]
  47. Jin, L.; Di Lucente, J.; Nguyen, H.M.; Singh, V.; Singh, L.; Chavez, M.; Bushong, T.; Wulff, H.; Maezawa, I. Repurposing the KCa3.1 inhibitor senicapoc for Alzheimer’s disease. Ann. Clin. Transl. Neurol. 2019, 6, 723–738. [Google Scholar] [CrossRef] [PubMed]
  48. Lu, J.; Dou, F.; Yu, Z. The potassium channel KCa3.1 represents a valid pharmacological target for microgliosis-induced neuronal impairment in a mouse model of Parkinson’s disease. J. Neuroinflamm. 2019, 16, 1–14. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  49. Franciosi, S.; Ryu, J.K.; Choi, H.B.; Radov, L.; Kim, S.U.; McLarnon, J.G. Broad-spectrum effects of 4-aminopyridine to modulate amyloid beta1-42-Induced cell signaling and functional responses in human microglia. J. Neurosci. 2006, 26, 11652–11664. [Google Scholar] [CrossRef]
  50. Schilling, T.; Eder, C. Amyloid-β-induced reactive oxygen species production and priming are differentially regulated by ion channels in microglia. J. Cell. Physiol. 2011, 226, 3295–3302. [Google Scholar] [CrossRef]
  51. Chen, Y.; Nguyen, H.M.; Maezawa, I.; Jin, L.; Wulff, H. Inhibition of the potassium channel Kv1.3 reduces infarction and inflammation in ischemic stroke. Ann. Clin. Transl. Neurol. 2017, 5, 147–161. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  52. Chen, Y.-J.; Raman, G.; Bodendiek, S.; E O’Donnell, M.; Wulff, H. The KCa3.1 Blocker TRAM-34 reduces infarction and neurological deficit in a rat model of ischemia/reperfusion stroke. J. Cereb. Blood Flow Metab. 2011, 31, 2363–2374. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  53. Valerie, N.C.K.; Dziegielewska, B.; Hosing, A.S.; Augustin, E.; Gray, L.S.; Brautigan, D.L.; Larner, J.M.; Dziegielewski, J. Inhibition of T-type calcium channels disrupts Akt signaling and promotes apoptosis in glioblastoma cells. Biochem. Pharmacol. 2013, 85, 888–897. [Google Scholar] [CrossRef]
  54. Ertel, E.A.; Campbell, K.P.; Harpold, M.M.; Hofmann, F.; Mori, Y.; Perez-Reyes, E.; Schwartz, A.; Snutch, T.P.; Tanabe, T.; Birnbaumer, L.; et al. Nomenclature of voltage-gated calcium channels. Neuron 2000, 25, 533–535. [Google Scholar] [CrossRef] [Green Version]
  55. Hashioka, S.; Klegeris, A.; McGeer, P.L. Inhibition of human astrocyte and microglia neurotoxicity by calcium channel blockers. Neuropharmacology 2012, 63, 685–691. [Google Scholar] [CrossRef]
  56. Nicoletti, N.F.; Erig, T.C.; Zanin, R.F.; Roxo, M.R.; Ferreira, N.P.; Gomez, M.V.; Morrone, F.B.; Campos, M.M. Pre-clinical evaluation of voltage-gated calcium channel blockers derived from the spider P. nigriventer in glioma progression. Toxicon 2017, 129, 58–67. [Google Scholar] [CrossRef]
  57. Silei, V.; Fabrizi, C.; Venturini, G.; Salmona, M.; Bugiani, O.; Tagliavini, F.; Lauro, G.M. Activation of microglial cells by PrP and β-amyloid fragments raises intracellular calcium through L-type voltage sensitive calcium channels. Brain Res. 1999, 818, 168–170. [Google Scholar] [CrossRef]
  58. Toescu, E.C.; Möller, T.; Kettenmann, H.; Verkhratsky, A. Long-term activation of capacitative Ca2+ entry in mouse microglial cells. Neuroscience 1998, 86, 925–935. [Google Scholar] [CrossRef]
  59. Espinosa-Parrilla, J.; Martínez-Moreno, M.; Gasull, X.; Mahy, N.; Rodríguez, M. The L-type voltage-gated calcium channel modulates microglial pro-inflammatory activity. Mol. Cell. Neurosci. 2015, 64, 104–115. [Google Scholar] [CrossRef] [Green Version]
  60. Mai, A.; Valente, S.; Meade, S.; Carafa, V.; Tardugno, M.; Nebbioso, A.; Galmozzi, A.; Mitro, N.; De Fabiani, E.; Altucci, L.; et al. Study of 1,4-Dihydropyridine structural scaffold: Discovery of novel sirtuin activators and inhibitors. J. Med. Chem. 2009, 52, 5496–5504. [Google Scholar] [CrossRef]
  61. Lee, I.H.; Cao, L.; Mostoslavsky, R.; Lombard, D.B.; Liu, J.; Bruns, N.E.; Tsokos, M.; Alt, F.W.; Finkel, T. A role for the NAD-dependent deacetylase Sirt1 in the regulation of autophagy. Proc. Natl. Acad. Sci. USA 2008, 105, 3374–3379. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  62. Tan, Y.; Deng, Y.; Qing, H. Calcium channel blockers and Alzheimer’s disease. Neural Regen. Res. 2012, 7, 137–140. [Google Scholar] [CrossRef]
  63. Tong, B.C.-K.; Wu, A.J.; Li, M.; Cheung, K.-H. Calcium signaling in Alzheimer’s disease & therapies. Biochim. Biophys. Acta Mol. Cell Res. 2018, 1865, 1745–1760. [Google Scholar] [CrossRef]
  64. Bachmeier, C.; Beaulieu-Abdelahad, D.; Mullan, M.; Paris, D. Selective dihydropyiridine compounds facilitate the clearance of β-amyloid across the blood–brain barrier. Eur. J. Pharmacol. 2011, 659, 124–129. [Google Scholar] [CrossRef] [PubMed]
  65. Barhwal, K.; Hota, S.K.; Baitharu, I.; Prasad, D.; Singh, S.B.; Ilavazhagan, G. Isradipine antagonizes hypobaric hypoxia induced CA1 damage and memory impairment: Complementary roles of L-type calcium channel and NMDA receptors. Neurobiol. Dis. 2009, 34, 230–244. [Google Scholar] [CrossRef] [PubMed]
  66. Copenhaver, P.F.; Anekonda, T.S.; Musashe, D.; Robinson, K.M.; Ramaker, J.M.; Swanson, T.L.; Wadsworth, T.L.; Kretzschmar, R.; Woltjer, R.L.; Quinn, J.F. A translational continuum of model systems for evaluating treatment strategies in Alzheimer’s disease: Isradipine as a candidate drug. Dis. Model. Mech. 2011, 4, 634–648. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  67. Facchinetti, F.; Fasolato, C.; DelGiudice, E.; Burgo, A.; Furegato, S.; Fusco, M.; Basso, E.; Seraglia, R.; Darrigo, A.; León, A. Nimodipine selectively stimulates β-amyloid 1–42 secretion by a mechanism independent of calcium influx blockage. Neurobiol. Aging 2006, 27, 218–227. [Google Scholar] [CrossRef]
  68. Morich, F.J.; Bieber, F.; Lewis, J.M.; Kaiser, L.; Cutler, N.R.; Escobar, J.I.; Willmer, J.; Petersen, R.C.; Reisberg, B. Nimodipine in the Treatment of Probable Alzheimerʼs Disease. Clin. Drug Investig. 1996, 11, 185–195. [Google Scholar] [CrossRef]
  69. Wang, X.; Saegusa, H.; Huntula, S.; Tanabe, T. Blockade of microglial Cav1.2 Ca2+ channel exacerbates the symptoms in a Parkinson’s disease model. Sci. Rep. 2019, 9, 1–13. [Google Scholar] [CrossRef] [Green Version]
  70. Mogi, M.; Iwai, M.; Chen, R.; Iwanami, J.; Ide, A.; Tsukuda, K.; Yoshii, T.; Horiuchi, M. Amlodipine treatment reduces stroke size in apolipoprotein E–Deficient Mice. Am. J. Hypertens. 2006, 19, 1144–1149. [Google Scholar] [CrossRef] [Green Version]
  71. Corder, E.H.; Saunders, A.M.; Strittmatter, W.J.; Schmechel, D.E.; Gaskell, P.C.; Small, G.W.; Roses, A.D.; Haines, J.L.; Pericak-Vance, M.A. Gene dose of apolipoprotein E type 4 allele and the risk of Alzheimer’s disease in late onset families. Science 1993, 261, 921–923. [Google Scholar] [CrossRef]
  72. Karch, C.M.; Goate, A.M. Alzheimer’s Disease Risk Genes and Mechanisms of Disease Pathogenesis. Biol. Psychiatry 2015, 77, 43–51. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  73. Mahley, R.W. Apolipoprotein E: From cardiovascular disease to neurodegenerative disorders. J. Mol. Med. 2016, 94, 739–746. [Google Scholar] [CrossRef] [Green Version]
  74. Zhou, J.; Liu, C.; Sun, Y.; Huang, W.; Ye, K. Cognitive disorders associated with hospitalization of COVID-19: Results from an observational cohort study. Brain Behav. Immun. 2021, 91, 383–392. [Google Scholar] [CrossRef] [PubMed]
  75. Williamson, E.J.; Walker, A.J.; Bhaskaran, K.; Bacon, S.; Bates, C.; Morton, C.E.; Curtis, H.J.; Mehrkar, A.; Evans, D.; Inglesby, P.; et al. Factors associated with COVID-19-related death using OpenSAFELY. Nature 2020, 584, 430–436. [Google Scholar] [CrossRef] [PubMed]
  76. Zhou, Y.; Frey, T.K.; Yang, J.J. Viral calciomics: Interplays between Ca2+ and virus. Cell Calcium 2009, 46, 1–17. [Google Scholar] [CrossRef] [PubMed]
  77. Chen, X.; Cao, R.; Zhong, W. Host calcium channels and pumps in viral infections. Cells 2019, 9, 94. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  78. Olivier, M. Modulation of host cell intracellular Ca2+. Parasitol. Today 1996, 12, 145–150. [Google Scholar] [CrossRef]
  79. Danta, C.C. CNS Penetration ability: A critical factor for drugs in the treatment of SARS-CoV-2 brain infection. ACS Chem. Neurosci. 2020, 11, 2137–2144. [Google Scholar] [CrossRef]
  80. Straus, M.R.; Tang, T.; Lai, A.L.; Flegel, A.; Bidon, M.; Freed, J.H.; Daniel, S.; Whittaker, G.R. Ca2+ Ions promote fusion of middle east respiratory syndrome coronavirus with host cells and increase infectivity. J. Virol. 2020, 94, 00426-20. [Google Scholar] [CrossRef]
  81. Danta, C.C. Calcium channel blockers: A possible potential therapeutic strategy for the treatment of alzheimer’s dementia patients with SARS-CoV-2 infection. ACS Chem. Neurosci. 2020, 11, 2145–2148. [Google Scholar] [CrossRef]
  82. Madry, C.; Attwell, D. Receptors, ion channels, and signaling mechanisms underlying microglial dynamics. J. Biol. Chem. 2015, 290, 12443–12450. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  83. Nilius, B.; Owsianik, G.; Voets, T.; Peters, J.A. Transient receptor potential cation channels in disease. Physiol. Rev. 2007, 87, 165–217. [Google Scholar] [CrossRef] [Green Version]
  84. Benemei, S.; Patacchini, R.; Trevisani, M.; Geppetti, P. TRP channels. Curr. Opin. Pharmacol. 2015, 22, 18–23. [Google Scholar] [CrossRef] [PubMed]
  85. Eder, C. Regulation of microglial behavior by ion channel activity. J. Neurosci. Res. 2005, 81, 314–321. [Google Scholar] [CrossRef] [PubMed]
  86. Sharma, P.; Ping, L. Calcium ion influx in microglial cells: Physiological and therapeutic significance. J. Neurosci. Res. 2014, 92, 409–423. [Google Scholar] [CrossRef]
  87. Verkhratsky, A.; Parpura, V. Store-operated calcium entry in neuroglia. Neurosci. Bull. 2013, 30, 125–133. [Google Scholar] [CrossRef] [Green Version]
  88. Vennekens, R.; Menigoz, A.; Nilius, B. TRPs in the Brain. Rev. Physiol. Biochem. Pharmacol. 2012, 163, 27–64. [Google Scholar] [CrossRef]
  89. Ohana, L.; Newell, E.W.; Stanley, E.F.; Schlichter, L.C. The Ca2+ release-activated Ca2+ current (I(CRAC)) mediates store-operated Ca2+ entry in rat microglia. Channels 2009, 3, 129–139. [Google Scholar] [CrossRef] [Green Version]
  90. Fusco, F.R.; Martorana, A.; Giampà, C.; De March, Z.; Vacca, F.; Tozzi, A.; Longone, P.; Piccirilli, S.; Paolucci, S.; Sancesario, G.; et al. Cellular localization of TRPC3 channel in rat brain: Preferential distribution to oligodendrocytes. Neurosci. Lett. 2004, 365, 137–142. [Google Scholar] [CrossRef]
  91. Putney, J.W. Capacitative calcium entry in the nervous system. Cell Calcium 2003, 34, 339–344. [Google Scholar] [CrossRef]
  92. Berridge, M.J.; Lipp, P.; Bootman, M.D. The versatility and universality of calcium signalling. Nat. Rev. Mol. Cell Biol. 2000, 1, 11–21. [Google Scholar] [CrossRef] [PubMed]
  93. Bezprozvanny, I.; Mattson, M.P. Neuronal calcium mishandling and the pathogenesis of Alzheimer’s disease. Trends Neurosci. 2008, 31, 454–463. [Google Scholar] [CrossRef] [Green Version]
  94. Mizoguchi, Y.; Kato, T.A.; Seki, Y.; Ohgidani, M.; Sagata, N.; Horikawa, H.; Yamauchi, Y.; Sato-Kasai, M.; Hayakawa, K.; Inoue, R.; et al. Brain-derived Neurotrophic Factor (BDNF) Induces Sustained Intracellular Ca2+ Elevation through the Up-regulation of Surface Transient Receptor Potential 3 (TRPC3) Channels in Rodent Microglia. J. Biol. Chem. 2014, 289, 18549–18555. [Google Scholar] [CrossRef] [Green Version]
  95. Amaral, M.D.; Chapleau, C.A.; Pozzo-Miller, L. Transient receptor potential channels as novel effectors of brain-derived neurotrophic factor signaling: Potential implications for Rett syndrome. Pharmacol. Ther. 2007, 113, 394–409. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  96. Holsinger, R.; Schnarr, J.; Henry, P.; Castelo, V.T.; Fahnestock, M. Quantitation of BDNF mRNA in human parietal cortex by competitive reverse transcription-polymerase chain reaction: Decreased levels in Alzheimer’s disease. Brain Res. Mol. Brain Res. 2000, 76, 347–354. [Google Scholar] [CrossRef]
  97. Michalski, B.; Fahnestock, M. Pro-brain-derived neurotrophic factor is decreased in parietal cortex in Alzheimer’s disease. Mol. Brain Res. 2003, 111, 148–154. [Google Scholar] [CrossRef]
  98. Lee, J.; Fukumoto, H.; Orne, J.; Klucken, J.; Raju, S.; Vanderburg, C.R.; Irizarry, M.C.; Hyman, B.T.; Ingelsson, M. Decreased levels of BDNF protein in Alzheimer temporal cortex are independent of BDNF polymorphisms. Exp. Neurol. 2005, 194, 91–96. [Google Scholar] [CrossRef] [PubMed]
  99. Yoo, A.S.; Cheng, I.; Chung, S.; Grenfell, T.Z.; Lee, H.; Pack-Chung, E.; Handler, M.; Shen, J.; Xia, W.; Tesco, G.; et al. Presenilin-mediated modulation of capacitative calcium Entry. Neuron 2000, 27, 561–572. [Google Scholar] [CrossRef] [Green Version]
  100. Munakata, M.; Shirakawa, H.; Nagayasu, K.; Miyanohara, J.; Miyake, T.; Nakagawa, T.; Katsuki, H.; Kaneko, S. Transient receptor potential canonical 3 Inhibitor Pyr3 improves outcomes and attenuates astrogliosis after intracerebral hemorrhage in mice. Stroke 2013, 44, 1981–1987. [Google Scholar] [CrossRef] [Green Version]
  101. Kim, S.R.; Kim, S.U.; Oh, U.; Jin, B.K. Transient Receptor Potential Vanilloid Subtype 1 Mediates Microglial Cell Death In Vivo and In Vitro via Ca2+-Mediated Mitochondrial Damage and Cytochrome c Release. J. Immunol. 2006, 177, 4322–4329. [Google Scholar] [CrossRef] [Green Version]
  102. Zhang, E.; Liao, P. Brain transient receptor potential channels and stroke. J. Neurosci. Res. 2015, 93, 1165–1183. [Google Scholar] [CrossRef] [PubMed]
  103. Ma, F.; Zhang, L.; Westlund, K.N. Reactive Oxygen Species Mediate TNFR1 Increase after TRPV1 Activation in Mouse DRG Neurons. Mol. Pain 2009, 5, 31. [Google Scholar] [CrossRef] [Green Version]
  104. Park, E.S.; Kim, S.R.; Jin, B.K. Transient receptor potential vanilloid subtype 1 contributes to mesencephalic dopaminergic neuronal survival by inhibiting microglia-originated oxidative stress. Brain Res. Bull. 2012, 89, 92–96. [Google Scholar] [CrossRef]
  105. Miyake, T.; Shirakawa, H.; Nakagawa, T.; Kaneko, S. Activation of mitochondrial transient receptor potential vanilloid 1 channel contributes to microglial migration. Glia 2015, 63, 1870–1882. [Google Scholar] [CrossRef] [Green Version]
  106. Hassan, S.; Eldeeb, K.; Millns, P.J.; Bennett, A.J.; Alexander, S.P.H.; A Kendall, D. Cannabidiol enhances microglial phagocytosis via transient receptor potential (TRP) channel activation. Br. J. Pharmacol. 2014, 171, 2426–2439. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  107. Konno, M.; Shirakawa, H.; Iida, S.; Sakimoto, S.; Matsutani, I.; Miyake, T.; Kageyama, K.; Nakagawa, T.; Shibasaki, K.; Kaneko, S. Stimulation of transient receptor potential vanilloid 4 channel suppresses abnormal activation of microglia induced by lipopolysaccharide. Glia 2012, 60, 761–770. [Google Scholar] [CrossRef] [PubMed]
  108. Shi, M.; Du, F.; Liu, Y.; Li, L.; Cai, J.; Zhang, G.-F.; Xu, X.-F.; Lin, T.; Cheng, H.-R.; Liu, X.-D.; et al. Glial cell-expressed mechanosensitive channel TRPV4 mediates infrasound-induced neuronal impairment. Acta Neuropathol. 2013, 126, 725–739. [Google Scholar] [CrossRef]
  109. Flockerzi, V.; Nilius, B. TRPs: Truly Remarkable Proteins. Handb. Exp. Pharmacol. 2014, 222, 1–12. [Google Scholar] [CrossRef]
  110. Haraguchi, K.; Kawamoto, A.; Isami, K.; Maeda, S.; Kusano, A.; Asakura, K.; Shirakawa, H.; Mori, Y.; Nakagawa, T.; Kaneko, S. trpm2 contributes to inflammatory and neuropathic pain through the aggravation of pronociceptive inflammatory responses in mice. J. Neurosci. 2012, 32, 3931–3941. [Google Scholar] [CrossRef] [Green Version]
  111. Miyake, T.; Shirakawa, H.; Kusano, A.; Sakimoto, S.; Konno, M.; Nakagawa, T.; Mori, Y.; Kaneko, S. TRPM2 contributes to LPS/IFNγ-induced production of nitric oxide via the p38/JNK pathway in microglia. Biochem. Biophys. Res. Commun. 2014, 444, 212–217. [Google Scholar] [CrossRef]
  112. Mortadza, S.A.S.; Sim, J.A.; Neubrand, V.E.; Jiang, L.-H. A critical role of TRPM2 channel in Aβ(42)-induced microglial activation and generation of tumor necrosis factor-α. Glia 2018, 66, 562–575. [Google Scholar] [CrossRef] [Green Version]
  113. Ostapchenko, V.G.; Chen, M.; Guzman, M.S.; Xie, Y.-F.; LaVine, N.; Fan, J.; Beraldo, F.H.; Martyn, A.C.; Belrose, J.C.; Mori, Y.; et al. The Transient Receptor Potential Melastatin 2 (TRPM2) Channel Contributes to β-Amyloid Oligomer-Related Neurotoxicity and Memory Impairment. J. Neurosci. 2015, 35, 15157–15169. [Google Scholar] [CrossRef] [Green Version]
  114. Beck, A.; Penner, R.; Fleig, A. Lipopolysaccharide-induced down-regulation of Ca2+release-activated Ca2+currents (ICRAC) but not Ca2+-activated TRPM4-like currents (ICAN) in cultured mouse microglial cells. J. Physiol. 2008, 586, 427–439. [Google Scholar] [CrossRef]
  115. Siddiqui, T.; Lively, S.; Ferreira, R.; Wong, R.; Schlichter, L.C. Expression and contributions of TRPM7 and KCa2.3/SK3 CHANNELS to the INCREASED migration and invasion of microglia in Anti-inflammatory Activation States. PLoS ONE 2014, 9, e106087. [Google Scholar] [CrossRef]
  116. Payandeh, J.; El-Din, T.M.G.; Scheuer, T.; Zheng, N.; Catterall, W.A. Crystal structure of a voltage-gated sodium channel in two potentially inactivated states. Nature 2012, 486, 135–139. [Google Scholar] [CrossRef] [Green Version]
  117. Brackenbury, W.J.; Isom, L.L. Voltage-gated Na+channels: Potential for β subunits as therapeutic targets. Expert Opin. Ther. Targets 2008, 12, 1191–1203. [Google Scholar] [CrossRef] [Green Version]
  118. Black, J.; Westenbroek, R.; Catterall, W.; Waxman, S. Type II brain sodium channel expression in non-neuronal cells: Embryonic rat osteoblasts. Mol. Brain Res. 1995, 34, 89–98. [Google Scholar] [CrossRef]
  119. Black, J.A.; Waxman, S.G. Noncanonical Roles of Voltage-Gated Sodium Channels. Neuron 2013, 80, 280–291. [Google Scholar] [CrossRef] [Green Version]
  120. Catterall, W.A.; Goldin, A.L.; Waxman, S.G. International Union of Pharmacology. XLVII. Nomenclature and Structure-Function Relationships of Voltage-Gated Sodium Channels. Pharmacol. Rev. 2005, 57, 397–409. [Google Scholar] [CrossRef]
  121. Catterall, W.A. Voltage-gated sodium channels at 60: Structure, function and pathophysiology. J. Physiol. 2012, 590, 2577–2589. [Google Scholar] [CrossRef] [PubMed]
  122. Pappalardo, L.W.; Black, J.A.; Waxman, S.G. Sodium channels in astroglia and microglia. Glia 2016, 64, 1628–1645. [Google Scholar] [CrossRef] [Green Version]
  123. DeCoursey, T.; Chandy, K.; Gupta, S.; Cahalan, M. Voltage-dependent ion channels in T-lymphocytes. J. Neuroimmunol. 1985, 10, 71–95. [Google Scholar] [CrossRef]
  124. E DeCoursey, T.; Chandy, K.G.; Gupta, S.; Cahalan, M.D. Mitogen induction of ion channels in murine T lymphocytes. J. Gen. Physiol. 1987, 89, 405–420. [Google Scholar] [CrossRef] [Green Version]
  125. Fraser, S.P.; Diss, J.K.; Lloyd, L.J.; Pani, F.; Chioni, A.-M.; George, A.J.; Djamgoz, M.B. T-lymphocyte invasiveness: Control by voltage-gated Na+channel activity. FEBS Lett. 2004, 569, 191–194. [Google Scholar] [CrossRef] [Green Version]
  126. Lai, Z.-F.; Chen, Y.-Z.; Nishimura, Y.; Nishi, K. An amiloride-sensitive and voltage-dependent Na+ channel in an HLA-DR-restricted human T cell clone. J. Immunol. 2000, 165, 83–90. [Google Scholar] [CrossRef] [Green Version]
  127. Lo, W.-L.; Donermeyer, D.L.; Allen, P.M. A voltage-gated sodium channel is essential for the positive selection of CD4+ T cells. Nat. Immunol. 2012, 13, 880–887. [Google Scholar] [CrossRef] [Green Version]
  128. A Black, J.; Newcombe, J.; Waxman, S.G. Nav1.5 sodium channels in macrophages in multiple sclerosis lesions. Mult. Scler. J. 2012, 19, 532–542. [Google Scholar] [CrossRef]
  129. Carrithers, L.M.; Hulseberg, P.; Sandor, M.; Carrithers, M.D. The human macrophage sodium channel NaV1.5 regulates mycobacteria processing through organelle polarization and localized calcium oscillations. FEMS Immunol. Med Microbiol. 2011, 63, 319–327. [Google Scholar] [CrossRef]
  130. Chatelier, A.; Mercier, A.; Tremblier, B.; Thériault, O.; Moubarak, M.; Benamer, N.; Corbi, P.; Bois, P.; Chahine, M.; Faivre, J.F. A distinct de novo expression of Nav1.5 sodium channels in human atrial fibroblasts differentiated into myofibroblasts. J. Physiol. 2012, 590, 4307–4319. [Google Scholar] [CrossRef] [PubMed]
  131. Bevan, S.; Chiu, S.Y.; Gray, P.T.; Ritchie, J.M. The presence of voltage-gated sodium, potassium and chloride channels in rat cultured astrocytes. Proc. R. Soc. Lond. Ser. B Biol. Sci. 1985, 225, 299–313. [Google Scholar] [CrossRef]
  132. Chiu, S.Y.; Schrager, P.; Ritchie, J.M. Neuronal-type Na+ and K+ channels in rabbit cultured Schwann cells. Nat. Cell Biol. 1984, 311, 156–157. [Google Scholar] [CrossRef]
  133. Chen, P.-H.; Cai, W.-Q.; Wang, L.-Y.; Deng, Q.-Y. A morphological and electrophysiological study on the postnatal development of oligodendrocyte precursor cells in the rat brain. Brain Res. 2008, 1243, 27–37. [Google Scholar] [CrossRef]
  134. Káradóttir, R.; Hamilton, N.B.; Bakiri, Y.; Attwell, D. Spiking and nonspiking classes of oligodendrocyte precursor glia in CNS white matter. Nat. Neurosci. 2008, 11, 450–456. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  135. Persson, A.-K.; Estacion, M.; Ahn, H.; Liu, S.; Stamboulian-Platel, S.; Waxman, S.G.; Black, J.A. Contribution of sodium channels to lamellipodial protrusion and Rac1 and ERK1/2 activation in ATP-stimulated microglia. Glia 2014, 62, 2080–2095. [Google Scholar] [CrossRef]
  136. Nicholson, E.; Randall, A. NaV1.5 sodium channels in a human microglial cell line. J. Neuroimmunol. 2009, 215, 25–30. [Google Scholar] [CrossRef]
  137. Black, J.A.; Liu, S.; Waxman, S.G. Sodium channel activity modulates multiple functions in microglia. Glia 2009, 57, 1072–1081. [Google Scholar] [CrossRef] [PubMed]
  138. Black, J.A.; Waxman, S.G. Sodium channels and microglial function. Exp. Neurol. 2012, 234, 302–315. [Google Scholar] [CrossRef] [PubMed]
  139. Craner, M.J.; Damarjian, T.G.; Liu, S.; Hains, B.C.; Lo, A.C.; Black, J.A.; Newcombe, J.; Cuzner, M.L.; Waxman, S.G. Sodium channels contribute to microglia/macrophage activation and function in EAE and MS. Glia 2004, 49, 220–229. [Google Scholar] [CrossRef]
  140. Hanisch, U.-K.; Kettenmann, H. Microglia: Active sensor and versatile effector cells in the normal and pathologic brain. Nat. Neurosci. 2007, 10, 1387–1394. [Google Scholar] [CrossRef]
  141. Ransohoff, R.M.; Perry, V.H. Microglial Physiology: Unique Stimuli, Specialized Responses. Annu. Rev. Immunol. 2009, 27, 119–145. [Google Scholar] [CrossRef] [PubMed]
  142. Sedgwick, J.D.; Schwender, S.; Imrich, H.; Dorries, R.; Butcher, G.W.; Ter Meulen, V. Isolation and direct characterization of resident microglial cells from the normal and inflamed central nervous system. Proc. Natl. Acad. Sci. USA 1991, 88, 7438–7442. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  143. Morsali, D.; Bechtold, D.; Lee, W.; Chauhdry, S.; Palchaudhuri, U.; Hassoon, P.; Snell, D.M.; Malpass, K.; Piers, T.; Pocock, J.; et al. Safinamide and flecainide protect axons and reduce microglial activation in models of multiple sclerosis. Brain 2013, 136, 1067–1082. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  144. Kohrman, D.C.; Smith, M.R.; Goldin, A.L.; Harris, J.; Meisler, M.H. A Missense Mutation in the Sodium Channel Scn8a Is Responsible for Cerebellar Ataxia in the Mouse Mutantjolting. J. Neurosci. 1996, 16, 5993–5999. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  145. Bisi, S.; Disanza, A.; Malinverno, C.; Frittoli, E.; Palamidessi, A.; Scita, G. Membrane and actin dynamics interplay at lamellipodia leading edge. Curr. Opin. Cell Biol. 2013, 25, 565–573. [Google Scholar] [CrossRef]
  146. A Siddiqui, T.; Lively, S.; Vincent, C.; Schlichter, L.C. Regulation of podosome formation, microglial migration and invasion by Ca2+-signaling molecules expressed in podosomes. J. Neuroinflamm. 2012, 9, 250. [Google Scholar] [CrossRef] [Green Version]
  147. Annunziato, L.; Pignataro, G.; Di Renzo, G.F. Pharmacology of Brain Na+/Ca2+ Exchanger: From Molecular Biology to Therapeutic Perspectives. Pharmacol. Rev. 2004, 56, 633–654. [Google Scholar] [CrossRef] [Green Version]
  148. Tong, X.-P.; Li, X.-Y.; Zhou, B.; Shen, W.; Zhang, Z.-J.; Xu, T.-L.; Duan, S. Ca(2+) signaling evoked by activation of Na(+) channels and Na(+)/Ca(2+) exchangers is required for GABA-induced NG2 cell migration. J. Cell Biol. 2009, 186, 113–128. [Google Scholar] [CrossRef] [Green Version]
  149. Pappalardo, L.W.; Samad, O.A.; Black, J.A.; Waxman, S.G. Voltage-gated sodium channel Nav1.5 contributes to astrogliosis in anin vitromodel of glial injury via reverse Na+/Ca2+exchange. Glia 2014, 62, 1162–1175. [Google Scholar] [CrossRef] [Green Version]
  150. Wiegert, J.S.; Bading, H. Activity-dependent calcium signaling and ERK-MAP kinases in neurons: A link to structural plasticity of the nucleus and gene transcription regulation. Cell Calcium 2011, 49, 296–305. [Google Scholar] [CrossRef]
  151. Hossain, M.M.; Weig, B.; Reuhl, K.; Gearing, M.; Wu, L.-J.; Richardson, J.R. The anti-parkinsonian drug zonisamide reduces neuroinflammation: Role of microglial Nav 1.6. Exp. Neurol. 2018, 308, 111–119. [Google Scholar] [CrossRef]
  152. Wu, L.-J.; Wu, G.; Sharif, M.R.A.; Baker, A.; Jia, Y.; Fahey, F.H.; Luo, H.R.; Feener, E.P.; Clapham, D.E. The voltage-gated proton channel Hv1 enhances brain damage from ischemic stroke. Nat. Neurosci. 2012, 15, 565–573. [Google Scholar] [CrossRef] [Green Version]
  153. Wu, L.-J. Voltage-Gated Proton Channel HV1 in Microglia. Neurosci. Rev. J. Bringing Neurobiol. Neurol. Psychiatry 2014, 20, 599–609. [Google Scholar] [CrossRef]
  154. Yu, Y.; Luo, X.; Li, C.; Ding, F.; Wang, M.; Xie, M.; Yu, Z.; Ransom, B.R.; Wang, W. Microglial Hv1 proton channels promote white matter injuries after chronic hypoperfusion in mice. J. Neurochem. 2019, 152, 350–367. [Google Scholar] [CrossRef]
  155. Tian, D.-S.; Li, C.-Y.; Qin, C.; Murugan, M.; Wu, L.-J.; Liu, J.-L. Deficiency in the voltage-gated proton channel Hv1 increases M2 polarization of microglia and attenuates brain damage from photothrombotic ischemic stroke. J. Neurochem. 2016, 139, 96–105. [Google Scholar] [CrossRef] [PubMed]
  156. Yu, Y.; Yu, Z.; Xie, M.; Wang, W.; Luo, X. Hv1 proton channel facilitates production of ROS and pro-inflammatory cytokines in microglia and enhances oligodendrocyte progenitor cells damage from oxygen-glucose deprivation in vitro. Biochem. Biophys. Res. Commun. 2018, 498, 1–8. [Google Scholar] [CrossRef] [PubMed]
  157. De Simoni, A.; Allen, N.J.; Attwell, D. Charge compensation for NADPH oxidase activity in microglia in rat brain slices does not involve a proton current. Eur. J. Neurosci. 2008, 28, 1146–1156. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  158. Schlichter, L.C.; Mertens, T.; Liu, B. Swelling activated Cl- channels in microglia: Biophysics, pharmacology and role in glutamate release. Channels 2011, 5, 128–137. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  159. Takano, T.; Kang, J.; Jaiswal, J.K.; Simon, S.M.; Lin, J.H.-C.; Yu, Y.; Li, Y.; Yang, J.; Dienel, G.; Zielke, H.R.; et al. Receptor-mediated glutamate release from volume sensitive channels in astrocytes. Proc. Natl. Acad. Sci. USA 2005, 102, 16466–16471. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  160. Schlichter, L.; Sakellaropoulos, G.; Ballyk, B.; Pennefather, P.; Phipps, D. Properties of K+ and Cl− channels and their involvement in proliferation of rat microglial cells. Glia 1996, 17, 225–236. [Google Scholar] [CrossRef]
  161. Ducharme, G.; Newell, E.W.; Pinto, C.; Schlichter, L.C. Small-conductance Cl- channels contribute to volume regulation and phagocytosis in microglia. Eur. J. Neurosci. 2007, 26, 2119–2130. [Google Scholar] [CrossRef]
  162. Danysz, W.; Parsons, C.G.; Möbius, H.-J.; Stöffler, A.; Quack, G. Neuroprotective and symptomatological action of memantine relevant for alzheimer’s disease—A unified glutamatergic hypothesis on the mechanism of action. Neurotox. Res. 2000, 2, 85–97. [Google Scholar] [CrossRef] [PubMed]
  163. Herrmann, N.; Gauthier, S.; Boneva, N.; Lemming, O.M. A randomized, double-blind, placebo-controlled trial of memantine in a behaviorally enriched sample of patients with moderate-to-severe Alzheimer’s disease. Int. Psychogeriatr. 2013, 25, 919–927. [Google Scholar] [CrossRef] [PubMed]
  164. Ortega, F.; Gimeno-Bayon, J.; Espinosa-Parrilla, J.; Carrasco, J.; Batlle, M.; Pugliese, M.; Mahy, N.; Rodríguez, M. ATP-dependent potassium channel blockade strengthens microglial neuroprotection after hypoxia–ischemia in rats. Exp. Neurol. 2012, 235, 282–296. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  165. E Maniskas, M.; Roberts, J.M.; Aron, I.; Fraser, J.F.; Bix, G.J. Stroke neuroprotection revisited: Intra-arterial verapamil is profoundly neuroprotective in experimental acute ischemic stroke. J. Cereb. Blood Flow Metab. 2015, 36, 721–730. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  166. Zhang, X.; Chen, S.; Lu, K.; Wang, F.; Deng, J.; Xu, Z.; Wang, X.; Zhou, Q.; Le, W.; Zhao, Y. Verapamil Ameliorates Motor Neuron Degeneration and Improves Lifespan in the SOD1G93A Mouse Model of ALS by Enhancing Autophagic Flux. Aging Dis. 2019, 10, 1159–1173. [Google Scholar] [CrossRef] [Green Version]
  167. Nicita, F.; Spalice, A.; Papetti, L.; Nikanorova, M.; Iannetti, P.; Parisi, P. Efficacy of verapamil as an adjunctive treatment in children with drug-resistant epilepsy: A pilot study. Seizure 2014, 23, 36–40. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  168. Narayanan, J.; Frech, R.; Walters, S.; Patel, V.; Frigerio, R.; Maraganore, D.M. Low dose verapamil as an adjunct therapy for medically refractory epilepsy—An open label pilot study. Epilepsy Res. 2016, 126, 197–200. [Google Scholar] [CrossRef]
  169. Harry, G.J. Microglia during development and aging. Pharmacol. Ther. 2013, 139, 313–326. [Google Scholar] [CrossRef] [Green Version]
  170. Wen, Z.; Christian, K.M.; Song, H.; Ming, G.-L. Modeling psychiatric disorders with patient-derived iPSCs. Curr. Opin. Neurobiol. 2016, 36, 118–127. [Google Scholar] [CrossRef] [Green Version]
  171. Bechtold, D.A.; Smith, K.J. Sodium-mediated axonal degeneration in inflammatory demyelinating disease. J. Neurol. Sci. 2005, 233, 27–35. [Google Scholar] [CrossRef] [PubMed]
  172. Anekonda, T.S.; Quinn, J.F. Calcium channel blocking as a therapeutic strategy for Alzheimer’s disease: The case for isradipine. Biochim. Biophys. Acta 2011, 1812, 1584–1590. [Google Scholar] [CrossRef] [Green Version]
  173. Peng, Y.; Lu, K.; Li, Z.; Zhao, Y.; Wang, Y.; Hu, B.; Xu, P.; Shi, X.; Zhou, B.; Pennington, M.; et al. Blockade of Kv1.3 channels ameliorates radiation-induced brain injury. Neuro Oncol. 2014, 16, 528–539. [Google Scholar] [CrossRef] [Green Version]
  174. Plaza-Zabala, A.; Sierra-Torre, V.; Sierra, A. Autophagy and Microglia: Novel Partners in Neurodegeneration and Aging. Int. J. Mol. Sci. 2017, 18, 598. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  175. Jin, M.-M.; Wang, F.; Qi, D.; Liu, W.-W.; Gu, C.; Mao, C.-J.; Yang, Y.-P.; Zhao, Z.; Hu, L.-F.; Liu, C.-F. A Critical Role of Autophagy in Regulating Microglia Polarization in Neurodegeneration. Front. Aging Neurosci. 2018, 10, 378. [Google Scholar] [CrossRef] [PubMed]
  176. Berglund, R.; Guerreiro-Cacais, A.O.; Adzemovic, M.Z.; Zeitelhofer, M.; Lund, H.; Ewing, E.; Ruhrmann, S.; Nutma, E.; Parsa, R.; Thessen-Hedreul, M.; et al. Microglial autophagy–associated phagocytosis is essential for recovery from neuroinflammation. Sci. Immunol. 2020, 5, eabb5077. [Google Scholar] [CrossRef] [PubMed]
  177. Kondratskyi, A.; Kondratska, K.; Skryma, R.; Prevarskaya, N. Ion channels in the regulation of apoptosis. Biochim. Biophys. Acta 2015, 1848, 2532–2546. [Google Scholar] [CrossRef] [Green Version]
  178. A Razik, M.; A Cidlowski, J. Molecular interplay between ion channels and the regulation of apoptosis. Biol. Res. 2002, 35, 203–207. [Google Scholar] [CrossRef] [PubMed]
  179. Dubois, C.; Abeele, F.V.; Prevarskaya, N. Targeting apoptosis by the remodelling of calcium-transporting proteins in cancerogenesis. FEBS J. 2013, 280, 5500–5510. [Google Scholar] [CrossRef] [Green Version]
  180. Pal, S.; Hartnett, K.A.; Nerbonne, J.M.; Levitan, E.S.; Aizenman, E. Mediation of Neuronal Apoptosis by Kv2.1-Encoded Potassium Channels. J. Neurosci. 2003, 23, 4798–4802. [Google Scholar] [CrossRef]
  181. McFerrin, M.B.; Turner, K.L.; Cuddapah, V.A.; Sontheimer, H. Differential role of IK and BK potassium channels as mediators of intrinsic and extrinsic apoptotic cell death. Am. J. Physiol. Physiol. 2012, 303, C1070–C1078. [Google Scholar] [CrossRef] [Green Version]
  182. Choi, H.K.; Ryu, H.J.; Kim, J.-E.; Jo, S.-M.; Choi, H.-C.; Song, H.-K.; Kang, T.-C. The roles of P2X7 receptor in regional-specific microglial responses in the rat brain following status epilepticus. Neurol. Sci. Off. J. Ital. Neurol. Soc. Ital. Soc. Clin. Neurophysiol. 2011, 33, 515–525. [Google Scholar] [CrossRef]
  183. Huang, C.; Chi, X.-S.; Li, R.; Hu, X.; Xu, H.-X.; Li, J.-M.; Zhou, D. Inhibition of P2X7 Receptor Ameliorates Nuclear Factor-Kappa B Mediated Neuroinflammation Induced by Status Epilepticus in Rat Hippocampus. J. Mol. Neurosci. 2017, 63, 173–184. [Google Scholar] [CrossRef] [PubMed]
  184. Yu, Q.; Guo, Z.; Liu, X.; Ouyang, Q.; He, C.; Burnstock, G.; Yuan, H.; Xiang, Z. Block of P2X7 receptors could partly reverse the delayed neuronal death in area CA1 of the hippocampus after transient global cerebral ischemia. Purinergic Signal. 2013, 9, 663–675. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  185. Liu, X.; Zhao, Z.; Ji, R.; Zhu, J.; Sui, Q.-Q.; Knight, G.E.; Burnstock, G.; He, C.; Yuan, H.; Xiang, Z. Inhibition of P2X7 receptors improves outcomes after traumatic brain injury in rats. Purinergic Signal. 2017, 13, 529–544. [Google Scholar] [CrossRef] [PubMed] [Green Version]
Figure 1. Time-lapse recordings of the same cortical region before and after a micro lesion was done with a laser shows how microglia will rapidly isolate the lesion site from the healthy brain, as to stop the spread of the damage. (a) In the presence of amyloid microglia are slower to react to the lesion although the surveillance speed in the intact parenchyma is comparable between tissue with and without amyloid; (b) Analyzing microglia morphology using a Scholl approach has revealed no difference in the number of intersections from the cell body but revealed that in the presence of amyloid, microglia appear to have a shorter process arborization. Data collected from 4 animals only expressing CX3CR1 (29 analyzes cells) and from 3 animals expressing both CX3CR1 and APP/PS1 mutations (26 analyzed cells). Mean and standard deviation is shown. APP: amyloid precursor proteins; PS1: presenilin 1.
Figure 1. Time-lapse recordings of the same cortical region before and after a micro lesion was done with a laser shows how microglia will rapidly isolate the lesion site from the healthy brain, as to stop the spread of the damage. (a) In the presence of amyloid microglia are slower to react to the lesion although the surveillance speed in the intact parenchyma is comparable between tissue with and without amyloid; (b) Analyzing microglia morphology using a Scholl approach has revealed no difference in the number of intersections from the cell body but revealed that in the presence of amyloid, microglia appear to have a shorter process arborization. Data collected from 4 animals only expressing CX3CR1 (29 analyzes cells) and from 3 animals expressing both CX3CR1 and APP/PS1 mutations (26 analyzed cells). Mean and standard deviation is shown. APP: amyloid precursor proteins; PS1: presenilin 1.
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Figure 2. Changes in ion channel expression in the presence of amyloid beta.
Figure 2. Changes in ion channel expression in the presence of amyloid beta.
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Cojocaru, A.; Burada, E.; Bălșeanu, A.-T.; Deftu, A.-F.; Cătălin, B.; Popa-Wagner, A.; Osiac, E. Roles of Microglial Ion Channel in Neurodegenerative Diseases. J. Clin. Med. 2021, 10, 1239. https://doi.org/10.3390/jcm10061239

AMA Style

Cojocaru A, Burada E, Bălșeanu A-T, Deftu A-F, Cătălin B, Popa-Wagner A, Osiac E. Roles of Microglial Ion Channel in Neurodegenerative Diseases. Journal of Clinical Medicine. 2021; 10(6):1239. https://doi.org/10.3390/jcm10061239

Chicago/Turabian Style

Cojocaru, Alexandru, Emilia Burada, Adrian-Tudor Bălșeanu, Alexandru-Florian Deftu, Bogdan Cătălin, Aurel Popa-Wagner, and Eugen Osiac. 2021. "Roles of Microglial Ion Channel in Neurodegenerative Diseases" Journal of Clinical Medicine 10, no. 6: 1239. https://doi.org/10.3390/jcm10061239

APA Style

Cojocaru, A., Burada, E., Bălșeanu, A. -T., Deftu, A. -F., Cătălin, B., Popa-Wagner, A., & Osiac, E. (2021). Roles of Microglial Ion Channel in Neurodegenerative Diseases. Journal of Clinical Medicine, 10(6), 1239. https://doi.org/10.3390/jcm10061239

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