Skip to main content

REVIEW article

Front. Cell. Neurosci., 17 September 2021
Sec. Cellular Neurophysiology
This article is part of the Research Topic ASICs: Structure, Function, and Pharmacology, Volume I View all 11 articles

Acid-Sensing Ion Channels: Expression and Function in Resident and Infiltrating Immune Cells in the Central Nervous System

  • 1Institute for Molecular Bioscience, The University of Queensland, St Lucia, QLD, Australia
  • 2School of Biomedical Sciences, The University of Queensland, St Lucia, QLD, Australia
  • 3Australian Research Council Centre of Excellence for Innovations in Peptide and Protein Science, The University of Queensland, St Lucia, QLD, Australia
  • 4Anatomy and Physiology, Medicine, Dentistry and Health Sciences, The University of Melbourne, Melbourne, VIC, Australia

Peripheral and central immune cells are critical for fighting disease, but they can also play a pivotal role in the onset and/or progression of a variety of neurological conditions that affect the central nervous system (CNS). Tissue acidosis is often present in CNS pathologies such as multiple sclerosis, epileptic seizures, and depression, and local pH is also reduced during periods of ischemia following stroke, traumatic brain injury, and spinal cord injury. These pathological increases in extracellular acidity can activate a class of proton-gated channels known as acid-sensing ion channels (ASICs). ASICs have been primarily studied due to their ubiquitous expression throughout the nervous system, but it is less well recognized that they are also found in various types of immune cells. In this review, we explore what is currently known about the expression of ASICs in both peripheral and CNS-resident immune cells, and how channel activation during pathological tissue acidosis may lead to altered immune cell function that in turn modulates inflammatory pathology in the CNS. We identify gaps in the literature where ASICs and immune cell function has not been characterized, such as neurotrauma. Knowledge of the contribution of ASICs to immune cell function in neuropathology will be critical for determining whether the therapeutic benefits of ASIC inhibition might be due in part to an effect on immune cells.

Acid-Sensing Ion Channels

Acid-sensing ion channels (ASICs) are proton-gated ion channels that are permeable to Na+ (Waldmann et al., 1997), and they constitute a subfamily of the epithelial sodium channel/degenerin (ENaC/Deg) superfamily (Kellenberger and Schild, 2015). ENaCs facilitate Na+ reabsorption in the kidney, and they regulate the volume in the fluid/cilia interface in both the lung and colonic epithelial cells (Garty and Palmer, 1997; Enuka et al., 2012; Hanukoglu and Hanukoglu, 2016). ASICs have ∼30% sequence identity to ENaCs, and both groups are inhibited by the diuretic drug amiloride (Paukert et al., 2004). However, in contrast to ENaCs, ASICs appear to have evolved earlier, possibly first appearing in deuterostomes ∼600 million years ago (Lynagh et al., 2018). Humans possess four ASIC-coding genes (ASIC1ASIC4), three of which (ASIC1, ASIC2 and ASIC3) are alternatively spliced, to produce six main subunits with differing properties: ASIC1a, ASIC1b, ASIC2a, ASIC2b, ASIC3a, and ASIC4 (Table 1; Wemmie et al., 2013). ASIC3a is the major splice isoform of ASIC3, with little known about the function of ASIC3b and ASIC3c (Delaunay et al., 2012). ASICs form homotrimeric or heterotrimeric channels (Jasti et al., 2007) that have different pH thresholds for channel activation (see Table 1), different physiological and pathological roles, and different tissue distribution (Figure 1; Waldmann et al., 1997, 1999; Chen et al., 1998). ASIC1a homomers, ASIC1a/2b heteromers (but not ASIC1a/2a), and human ASIC1b mediate the influx of Ca2+ in addition to Na+, although they are all more permeable to Na+ (Waldmann et al., 1997; Olena et al., 2004; Hoagland et al., 2010; Sherwood et al., 2011).

TABLE 1
www.frontiersin.org

Table 1. ASIC subtypes and their pH sensitivity.

FIGURE 1
www.frontiersin.org

Figure 1. Schematic showing tissues in which ASICs are expressed (green boxes) and their putative role in various pathologies (orange boxes) in (A) rodents and (B) humans. Data summarized here are drawn from Supplementary Table 1, with expression sites and pathology based on studies that used antibody staining, transcriptomic data, proteomics and/or functional methods. Additional information is available in the Human Protein Atlas (www.proteinatlas.org). References supporting the putative roles of ASICs in human pathologies are as follows: 1Brain: ASIC1a detected using RT-PCR and Western blot; acidosis-mediated damage to cultured human brain neurons rescued by ASIC1a inhibition with PcTx1 (Li et al., 2010). Significant association between ASIC1a SNPs, amygdala volume, and panic disorder in humans (Smoller et al., 2014). Elevated levels of ASIC1a (Yang et al., 2016) and ASIC3 (Cao et al., 2016) in brains of patients with temporal lobe epilepsy shown using immunostaining and Western blot. ASIC expression in CNS; treatment with amiloride alleviated patient symptoms of MS (Arun et al., 2013). ASIC1 and ASIC3 found in glioblastoma stem cell lines using RT-PCR and Western blot; microarray data revealed that ASIC expression is associated with improved survival in glioma patients (Tian et al., 2017). 2Lung: ASICs expressed in human lung cancer cell line A549 determined using RT-PCR, immunofluorescence, and Western blot. Proliferation and migration promoted by overexpression of ASIC1a and inhibited by PcTx1 (Wu et al., 2017). 3Spinal cord: ASICs in human spinal cord, stained with ASIC1 antibody (Arun et al., 2013). 4Bone: ASIC expression in human skeleton shown using RT-PCR and antibody staining performed on human chondrocytes (Jahr et al., 2005). 5Testis: ASIC3 in human testis based on Northern blot (Ishibashi and Marumo, 1998). 6Gut: ASIC2 measured using RT-PCR and immunostaining in human colorectal cancer cells, with ASIC2 promoting cell invasion and proliferation in xenografts (worsened via overexpression and impeded with ASIC2 knockout) (Zhou et al., 2017). 7Kidney: ASICs found in human proximal tubular cell line using RT-PCR and Western blotting; apoptosis of cells due to ischemia-reperfusion injury reduced by ASIC1a inhibition using PcTx1 (Song et al., 2019). ASIC1, ASIC2 and ASIC3 protein expression in patients with Henoch-Schönlein purpura nephritis; ASIC blockade with amiloride reduced expression of damage marker proteins (Yuan et al., 2010). 8Heart: Transcriptomics revealed presence of ASIC1a in human induced pluripotent stem cell-derived cardiomyocytes (hiPSC-CMs); ASIC1a inhibition with Hi1a or PcTx1 improved viability of hiPSC-CMs under conditions of hypoxia and acidosis, whereas viability was further reduced in the presence of the ASIC1a activator MitTx (Redd et al., 2021). 9Eye: ASIC1a detected in retinal pigment epithelial cells using RT-PCR and Western blotting; PcTx1 protects cells from oxidative stress (Tan et al., 2013). ASIC3 mRNA detected using RT-PCR on human retina samples (Maubaret et al., 2002). 10Ear: Presence of ASIC4 shown using RT-PCR and Northern blot (Gründer et al., 2000).

ASICs are expressed in a range of tissues and have been associated with diverse pathologies, including diabetes, stroke, myocardial infarction, and epilepsy (see Figure 1; Xiong et al., 2004; Lv et al., 2011; Radu et al., 2014; Chassagnon et al., 2017; Redd et al., 2021). Most ASIC subtypes are present in the peripheral nervous system (PNS). However, ASIC1a is expressed at high levels and is the dominant subtype in both the human and rodent central nervous system (CNS) (Sluka et al., 2003; Wemmie et al., 2003; Baron et al., 2008), and it has been implicated in a variety of CNS disorders such as neurodegenerative diseases, depression, epilepsy, and ischemia-induced injury of the brain and spinal cord (Xiong et al., 2004; Friese et al., 2007; Wong et al., 2008; Ziemann et al., 2008; Coryell et al., 2009; Hu et al., 2011; Lv et al., 2011; Radu et al., 2014; Koehn et al., 2016; Chassagnon et al., 2017).

Inflammation

There is a growing body of literature suggesting that ASICs may contribute to immune cell function and neuroinflammation during CNS pathology. Inflammation is a complex biological response to an insult, which may be pathogenic or self-derived (i.e., induced by trauma, ischemia, or autoimmune processes). It is driven by the innate immune system, dependent on immune cell infiltration, and results in the release of plethora of inflammatory mediators including histamines, bradykinins, arachidonic acid, leukotrienes, prostaglandins, cytokines and chemokines. Plasma leakage from capillary beds causes swelling, alongside extravasation of granulocytes into the tissue which is facilitated by P-selectin and platelet endothelial cell adhesion molecule 1 (PECAM-1) (Woodfin et al., 2007). Chronic inflammation causes long term alterations to cell populations, such as an increase in the number of white blood cells such as lymphocytes. This infiltration and persistent involvement of immune cells results in both healing alongside further damage. Neuroinflammation is an inflammatory response within the CNS, leading to immune cell infiltration (of CNS or peripheral origin) and increased levels of cytokines, chemokines, and reactive oxygen species (ROS). It is worth noting that inflammation can be “sterile,” occurring without a pathogenic external source [e.g., pathogen associated molecular patterns (PAMPs)] and instead resulting from damage-associated molecular patterns (DAMPs) triggered by trauma, ischemia or other environmental factors (e.g., ultraviolet radiation) (Rock et al., 2010; Feldman et al., 2015).

Neuroinflammation has been implicated in degenerative and traumatic conditions and even mental health disorders such as depression and anxiety. Despite robust intrinsic CNS barriers, resident peripheral immune cells frequently cross into the CNS parenchyma when the blood-brain barrier (BBB), blood-spinal cord barrier (BSCB), or blood-cerebrospinal fluid barrier (BCSFB) become porous. The BBB, BSCB, and BCSFB are often disrupted and left partially open for weeks after a physical injury such as spinal cord injury (SCI) and traumatic brain injury (TBI), or after ischemic insults such as stroke (Sinescu et al., 2010; Chodobski et al., 2011; Suzuki et al., 2016). Degenerative disorders such as Alzheimer’s disease (AD), Parkinson’s disease (PD), and multiple sclerosis (MS) also cause pervasive disruption to CNS barriers that results in CNS invasion by peripheral immune cells (Ffrench-Constant, 1994; Town et al., 2005; Polman et al., 2006). Breakdown of the BBB is also thought to contribute to the etiology of epilepsy (Marchi et al., 2012).

Neutrophils, macrophages, T cells, and dendritic cells (DCs) have each been shown to occupy the CNS after an insult. Neutrophil chemoattractants such as PGF2α, complement component C5a, and interleukin-8 (CXCL-8) are produced by ischemic tissues, suggesting that these leukocytes do not just passively filter through the disrupted BBB/BSCB but are actively recruited to the CNS following the insult (Kilgore et al., 1994; Arnould et al., 2001; De Bondt et al., 2020). Consistent with this, neutrophil migration is altered by acidity, which is discussed further below (Rotstein et al., 1988). There is conflicting evidence as to whether neutrophils are beneficial or detrimental once they have infiltrated the CNS, which may be due to the heterogenous nature of neutrophil activation states (e.g., differential expression of proteins), but they are accepted to contribute to SCI severity (Taoka et al., 1998; Neirinckx et al., 2014; Deniset and Kubes, 2018). Infiltrating macrophages/monocytes and possibly neutrophils initiate demyelination of CNS neurons through phagocytic and inflammatory processes (Ajami et al., 2011; Yamasaki et al., 2014; Stranahan et al., 2016; De Bondt et al., 2020). T cells that cross a porous BBB contribute significantly to MS pathology by causing central demyelination through attack and degradation of the myelin sheath (Bielekova et al., 2004). During experimental autoimmune encephalomyelitis (EAE), an animal model of MS, DCs also breach the CNS and subsequently prime T cells to exacerbate the autoimmune inflammation (Karman et al., 2006; Sagar et al., 2012). In summary, recruitment of peripheral immune cells into the CNS during inflammation contributes to the wave of secondary damage that emanates from the initial site of injury.

Tissue Acidification

Vascular damage after SCI, hemorrhagic stroke, or occlusion of cerebral arteries during an ischemic stroke, causes a marked reduction in blood flow to the injured region. Neurons and supporting glial cells in the center of the ischemic territory (i.e., where blood flow is lowest) are rapidly, and perhaps irreparably, damaged. At the periphery of this ischemic core (the penumbra), an expanding wave of secondary damage (i.e., progression of injury beyond the initial insult, as outlined in Figure 2) develops more slowly because supplementary blood flow from adjacent regions maintains perfusion above the threshold for immediate cell death (Moskowitz et al., 2010). However, in the absence of adequate blood flow, oxygen deprivation (hypoxia) in areas surrounding the primary ischemic insult forces neurons to resort to anaerobic glycolysis for their energy needs, which causes lactic acidosis and acidification of the tissue (Rehncrona, 1985). The resultant acidosis contributes to secondary damage through activation of ASICs (e.g., ASIC1a), which is discussed further below. Patients admitted with trauma often exhibit a decrease in blood pH as part of the “triad of death”—systemic hypothermia, acidosis, and coagulopathy—which contributes to mortality and is also a reminder that in trauma, acidification is not limited to the CNS or just the site of damage (Mikhail, 1999; Mitra et al., 2012).

FIGURE 2
www.frontiersin.org

Figure 2. Progression of secondary damage after physical damage is inflicted on the spinal cord. Blood flow is restricted as a result of damaged blood vessels, causing tissue acidification and subsequent activation of ASICs.

Acidification is not solely linked to traumatic and ischemic insults. Extracellular acidosis has been reported in spinal cord tissue of EAE mice, and increased levels of tissue lactate have also been reported in human MS brain tissue, sufficient to activate ASIC1a (Bitsch et al., 1999; Friese et al., 2007). In both animal models of Huntington’s disease (HD) and in patients with HD, a significant build-up of lactic acid has been observed in the brain (Tsang et al., 2006; Josefsen et al., 2010).

Tissue acidosis and inflammation influence one another and, as shown by research within an intensive care unit, alterations in the acid/base status of patients contribute to differences in their interleukin (IL) and cytokine profile (Zampieri et al., 2014). We have highlighted thus far that both inflammation and acidity contribute to tissue damage in pathological CNS conditions, with the former moderated by immune cells and the latter by receptors such as ASICs. Immune cells themselves are also modulated by acidity, and in the following sections we present an overview of immune cells, their response to acidic conditions, and the potential role of immune-cell ASICs in neuroinflammation.

Overview of Immune Cells

White blood cell lineages (peripheral immune cells) arise from hemopoietic stem cells in the bone marrow (Figure 3), in particular the common myeloid progenitor and the common lymphoid progenitor cells. Common myeloid progenitors give rise to granulocytes (mast cells, eosinophils, basophils and neutrophils) and monocytes (which can differentiate into macrophages and DCs), while the common lymphoid progenitor produces various classes of lymphocytes: natural killer (NK) cells, T cells and B cells (Kondo et al., 2003; Figure 3). T cells are produced in the bone marrow and mature in the thymus, and they can be further subdivided into memory, cytotoxic, regulatory, and helper T cells. T cells express T cell receptors (TCRs) on their surface to recognize antigens.

FIGURE 3
www.frontiersin.org

Figure 3. Immune cell lineages in the periphery.

Peripheral immune cells are separated from CNS immune cells by two distinct barriers that divide the central and peripheral vascular systems: the BBB/BSCB and the BCSFB. The BBB/BSCB and BCSFB allow the CNS to maintain its own regulatory environment with a distinct set of immune cells comprising the neuroglia (microglia, astrocytes, oligodendrocytes) and ependymal cells (Figure 4).

FIGURE 4
www.frontiersin.org

Figure 4. Immune cell lineages in the CNS.

Immune Cell Response to Tissue Acidification

Although often referred as neuronal ion channels, ASICs are expressed in numerous types of immune cells (Huang et al., 2010; Tong et al., 2011; Kong et al., 2013; Yu et al., 2015) and they are potentiated by molecules associated with neuroinflammation such as arachidonic acid, histamine, lactate, and nitric oxide (Immke and McCleskey, 2001; Cadiou et al., 2007; Smith et al., 2007; Rash, 2017; Shteinikov et al., 2017). Acidity can provoke different responses in immune cells depending on the source of the acidosis, as exemplified in Table 2 for macrophages. Therefore, whether or how inflammation is triggered by acidity depends on the source of the lowered pH. As proton-coupled monocarboxylate transporters (MCTs) shuttle lactate in a 1:1 ratio with H+ (Hertz and Dienel, 2005), altering lactate levels will have secondary effects on the H+ concentration.

TABLE 2
www.frontiersin.org

Table 2. The effects of pH on inflammatory mediators in macrophages (Kellum et al., 2004).

Neutrophils exposed to acidic pH undergo various functional changes, including significantly impaired migration, defective chemotaxis, reduced speed of apoptosis, increased CD18 expression, and increased phagocytosis but with decreased bactericide action (Rotstein et al., 1988; Trevani et al., 1999; Cao et al., 2015). The combination of acidosis-induced decreases in migration, chemotaxis and apoptosis together with increased phagocytic activity might suggest that once neutrophils enter a region of low pH, they become trapped there with enhanced lifespan and inflammatory activity. CD18 is a cell-surface molecule expressed by neutrophils that promotes cell adhesion, a process that allows neutrophils to aid tissue repair in the periphery. Altered expression of CD18 is believed to facilitate neutrophil breach into the CNS (Serrano et al., 1996; Neri et al., 2018). The acidic blood pH after trauma (as low as 6.6) likely induces altered CD18 expression on peripheral neutrophils which then undergo facilitated extravasation into the CNS, where they accumulate in acidic regions (Mitra et al., 2012). Furthermore, in patients with SCI, neutrophils exhibit a higher “respiratory burst” in the blood (Kanyilmaz et al., 2013). The myeloperoxidase (MPO) produced by neutrophils enhances conversion of H2O2 to HOCl, and thus contributes to the secondary damage after SCI (Kubota et al., 2012). Neutrophils in the blood of SCI patients in rehabilitation have decreased ability to phagocytose Escherichia coli and Staphylococcus aureus (Campagnolo et al., 1997; Kanyilmaz et al., 2013). These data suggest that, at least for neutrophils, typical immune responses are altered in the presence of acidity and this may explain why neutrophils can have a detrimental impact in the CNS after neurotrauma.

Vermeulen et al. (2004) and Martínez et al. (2007) found that murine and human DCs mature upon exposure to acidity. Acidosis modifies the inflammatory profile of monocytes and macrophages, and is proposed to induce an inflammatory state in the latter (Riemann et al., 2016). Microglial motility decreases after exposure to acidic pH (Faff and Nolte, 2000). Rat macrophages exposed to acidic environments (pH below 7.4) upregulate nitric oxide synthase (NOS), and thus increase production of NO (Bellocq et al., 1998). Excess amounts of NO are detrimental in neurodegenerative pathologies such as HD and after striatal lesions, causing DNA damage and oxidative stress to cells (Schulz et al., 1996; Browne and Beal, 2006; Calabrese et al., 2007). These responses are discussed further below when considering the role of ASICs.

Decreased extracellular pH, therefore, can modify the function of immune cells by altering motility, impacting phagocytosis, aiding CNS invasion, and increasing the production of potentially neurodamaging agents such as NO. Although the function of neutrophils is modified by acidity, there are, to date, no studies on whether they express ASICs. Thus, the role of ASICs in acidosis-induced responses of neutrophils is currently unknown.

Receptors and Ion Channels on Immune Cells

The key immune cell receptors involved in the innate immune response are complement and cytokine/chemokine receptors and pattern recognition receptors (PRRs) such as Toll-like receptors (TLRs). The PRRs recognize both PAMPs and also DAMPs which are produced by dying or damaged cells and trigger sterile inflammatory processes. As part of the adaptive immune response, the TCRs and antibody-binding receptors are involved in cascades that facilitate the immune cell response. Immune cells also possess ion channels that are important for their function, including the voltage-gated potassium channel Kv1.3, the calcium-activated potassium channel KCa3.1, calcium release-activated calcium channels (CRAC), and transient receptor potential (TRP) channel M7 (Cadiou et al., 2007; Chandy and Norton, 2017; Chiang et al., 2017; Nadolni and Zierler, 2018; Clemens and Lowell, 2019). The function of these ion channels in immune cells and their contribution to pathology have been reviewed (Feske et al., 2015; Vaeth and Feske, 2018) but neither of these reviews discuss the presence or role of ASICs in immune cells.

Acid-Sensing Ion Channel Expression in Cells That Contribute to Neuropathology

Acid-Sensing Ion Channels in Microglia

Microglia are the main immune cell type in the CNS. Although considered CNS-resident macrophages, microglia branch off earlier in development from yolk sac precursors (Ginhoux et al., 2010; Schulz et al., 2012; Kierdorf et al., 2013). In non-pathological conditions, microglia are involved in clearing tissue debris and surveying the environment (Nimmerjahn et al., 2005). During neuropathology, microglia can enter an activated state and release enzymes such as NADPH oxidase, which causes neuronal damage. Microglia can additionally modify myelination, affecting developmental myelination as well as beneficial re-myelination processes (Popovich et al., 2002; Butovsky et al., 2006). The divergent context-specific roles of microglia in CNS pathologies is an emergent field and has been recently reviewed (Norris and Kipnis, 2019; Butler et al., 2021).

It has been known for some time that the severity of disease progression in MS patients is linked to microglial activation (Heppner et al., 2005; Jack et al., 2005; Geladaris et al., 2021), and it seems that microglial phagocytosis of stressed neurons contributes to neurodegeneration in AD, PD, ischemic stroke, CNS viral infections, and aging (Butler et al., 2021). Rat microglia have been shown to express ASIC1, ASIC2a and ASIC3. In cultured primary rat microglia stimulated with lipopolysaccharide (LPS), a known immune activator, ASIC1 and ASIC2a expression increased both at the surface and intracellularly (Yu et al., 2015) and ASIC-specific inward currents could be recorded using whole-cell patch-clamp electrophysiology. Both PcTx1 and amiloride reduced the amplitude of these currents and reduced the expression of inflammatory cytokines (Yu et al., 2015). Treatment of cultured primary microglia with amiloride also decreased the extent of phagocytosis under acidic conditions (Vergo et al., 2011). A decrease in phagocytosis was also seen in microglia cultured from ASIC1–/– mice, with no change upon the addition of amiloride, indicating that the effect of amiloride is ASIC1-mediated.

These data collectively show that ASICs, and ASIC1a specifically, are present in microglia and contribute to their function in acidic microenvironments. In turn, this indicates that microglial ASIC1a contributes to microglia function, affecting release of inflammatory cytokines and phagocytosis, potentially impacting the immune response in the CNS during MS and many other CNS pathologies.

Acid-Sensing Ion Channels in Astrocytes

Astrocytes fulfill a variety of roles in the CNS, such as regulating the formation and maintenance of the BBB (Abbott et al., 2006). After brain injury and disease, astrocytes can become reactive, participating in repair cascades and gene upregulation, and forming an astroglial scar (Zamanian et al., 2012; Anderson et al., 2016). Reactive astrocytes are key players in CNS disease, an area reviewed recently by Dossi et al. (2018). Stimulation of astrocytes by cytokines such as interferon gamma (IFN−γ) leads to expression of the antigen-presenting major histocompatibility complex II (MHC II) on the cell surface alongside other costimulatory molecules such as intercellular adhesion molecule 1 (ICAM-1) (Wong et al., 1984; Lee et al., 2000). MHC II expression occurs in MS plaques and may contribute to the inflammatory cascade through antigen presentation to T cells (Zeinstra et al., 2000). Ponath et al. (2018) recently reviewed the differing roles of astrocytes in MS.

ASIC1, ASIC2a, ASIC3 are expressed in the nucleus of rat astrocytes, and astrocytes express an ASIC-like current that is blocked by amiloride (Huang et al., 2010; Yu et al., 2015). Yang et al. (2016) noted increased ASIC1a expression in the membrane and cytoplasm of reactive astrocytes from the hippocampi of deceased TLE patients, findings which were replicated in a mouse model of chronic epileptogenesis. To explore normal astrocytic function, the group used primary cultures from wild-type mice. At 24 h after stimulation with LPS, astrocytes upregulated ASIC1a and exhibited increased Ca2+ influx upon exposure to pH 6.0, which was significantly reduced by PcTx1.

Yang et al. (2016) showed that seizure frequency in TLE mice is reduced by knockdown of astrocytic ASIC1a, with restoration of the ASIC1 gene increasing the frequency of spontaneous seizures. Thus, in contrast to what is believed regarding epilepsy and the beneficial function of ASIC1a (likely via neuronal expression), these data suggest that activation of astrocytic ASIC1a causes pathological Ca2+ influx and contributes to the pathogenesis of TLE.

Acid-Sensing Ion Channels in Oligodendrocytes

Oligodendrocytes deliver critical trophic support to neurons, producing the proteins and lipids that comprise the myelin sheath that wrap around and insulate axons, and they engage in significant cross-talk with microglia during the process of myelination (Peferoen et al., 2014). Oligodendrocytes secrete cytokines such as C-C motif chemokine ligand 2 (CCL-2) and IL-8 in response to neuroborreliosis, the neurological manifestation of Lyme’s disease (Ramesh et al., 2012). IL-8 and CCL-2 are chemotaxic for a number of peripheral immune cells, such as neutrophils and T cells respectively (Turner et al., 2014).

Oligodendrocytes are especially sensitive to ischemic insults (Bradl and Lassmann, 2010), and resident ASICs may contribute to ischemia-induced injury of these cells. ASIC1 is upregulated in oligodendrocytes in chronic brain lesions of patients with MS, and use of amiloride in patients provided neuroprotection at primary stages of the disease (Arun et al., 2013). ASIC1a, ASIC2a/b (non-selective primers were used, and thus ASIC2a and ASIC2b could not be distinguished), and ASIC4 mRNA were found in oligodendrocytes, and ASIC-specific inward currents recorded from oligodendrocyte lineage cells (OLCs) were inhibited by PcTx1 (Feldman et al., 2008). Cultured mouse oligodendrocytes express ASIC1 (ASIC1a and ASIC1b were not separable) and they were protected from acidosis-induced damage by PcTx1, as were oligodendrocytes derived from ASIC1 KO mice (Vergo et al., 2011). Thus, the combined data suggest that ASIC1 activation contributes to oligodendrocyte injury during and after periods of tissue acidosis.

Acid-Sensing Ion Channels in Macrophages

Macrophages are key players in inflammation and autoimmune disease. They produce NO under acidic conditions and promote demyelination in the CNS (Bellocq et al., 1998; Yamasaki et al., 2014; Li and Barres, 2018). RT-PCR and Western blots were used to demonstrate expression of ASIC1 and ASIC3 in the cytoplasm of macrophages (Kong et al., 2013). When exposed to acidic conditions (pH 6.5), bone marrow-derived macrophages (BMMs) increase their rate of phagocytosis (Kong et al., 2013). Extracellular acidosis also causes an upregulation of key cell surface markers related to BMM maturation (e.g., CD80, CD86 and MHC II). These effects were blocked by application of amiloride before exposure to tissue acidosis. Interestingly, expression of IL-10—thought to be a beneficial anti-inflammatory cytokine—was increased in macrophages after acid exposure.

Thus, the limited available data suggest that ASICs can modulate the macrophage response to acidic microenvironments. CNS macrophages/monocytes are believed to be a primary contributor to MS demyelination, and ASICs may contribute to their response in this pathology (Yamasaki et al., 2014).

Acid-Sensing Ion Channels in T Cells

T cells play a major role in coordinating and executing multiple functions of the adaptive immune response. Autoreactive T cells that have lost their ability to differentiate self (i.e., host cells and antigens) from non-self (i.e., foreign/pathogenic cells and antigens) are major players in autoimmune diseases such as MS. In the first study that identified a role for ASIC1a in the neuropathology of MS, ASIC1b, ASIC3 and ASIC4 were identified at the mRNA level in mouse T cells, with the presence of ASIC1 protein confirmed in these immune cells via Western blot (Friese et al., 2007). In this study, no obvious function for ASIC1 in T cells was observed based on responses of wild-type and ASIC1 knockout T cells in terms of proliferation and cytokine secretion. Thus, the role of ASICs in T cells remains to be determined, but they do not seem to play a role in these cells in the context of MS, at least not in the mouse EAE model.

Acid-Sensing Ion Channels in Dendritic Cells

Mature DCs are professional antigen presenting cells that constitute a key part of the inflammatory cascade, forming a major link between the innate and adaptive immune systems. The expression of MHC II and co-stimulatory molecules such as CD86 on their cell surface allows them to present antigens to T cells leading to T cell activation and proliferation (Reis e Sousa, 2006; Dudek et al., 2013).

When mature DCs are exposed to acidic conditions (pH 6.5) for a moderate time period (∼4 h), the expression of their specific cell-surface markers is increased (Vermeulen et al., 2004). Human DCs exposed to acidosis increase production of proinflammatory IL-12 and the authors suggest that this triggers a bias toward a proinflammatory Th1 response (Martínez et al., 2007). The acidosis-induced increase in cell-surface marker expression was replicated using cultured DCs derived from mouse bone marrow, a response that was blocked by amiloride (Tong et al., 2011). Using non-specific antibodies for ASIC subtypes (i.e., not distinguishing between splice isoforms), Tong et al. (2011) found that mouse DCs express ASIC protein in the cytoplasm (ASIC1 and ASIC2), on the plasma membrane (ASIC2), in the endoplasmic reticulum and perinuclear regions (ASIC1), and in the mitochondria (ASIC3). Functional surface expression of ASICs was confirmed using patch-clamp electrophysiology experiments and the observation of amiloride-sensitive, acidosis-induced inward currents with a pH50 of ∼6.0. Acidosis (pH 6.5) increased the antigen-presenting ability of DCs as assessed by increased ability to stimulate T cell proliferation, and this effect was blocked by amiloride (Tong et al., 2011).

These results strongly suggest that ASIC activation on DCs enhances expression of cell-surface proteins involved in antigen presentation and subsequent T cell activation and proliferation. As T cells can be highly destructive to healthy tissue in chronic inflammatory conditions, acidosis-enhanced communication between these two CNS-invading peripheral immune cells may exacerbate CNS damage in disease (Korn and Kallies, 2017).

Acid-Sensing Ion Channels in Natural Killer Cells

Data from the human binary protein interactome (Luck et al., 2020) indicate an interaction between ASIC1a and the killer cell immunoglobulin-like receptor 3DL3, a key regulator of NK cell function. Reduced levels of NK cells have also been implicated in depression (in which immune responses tend to be impaired). Brain acidity is altered in several mental health conditions (Coryell et al., 2009; Suzuki et al., 2017), but it is not yet clear whether this impacts on NK levels or function or whether ASICs have any role in these changes.

Neuropathologies in Which Acid-Sensing Ion Channels Are Implicated

ASIC1a is expressed in the cell body, dendritic arbor and postsynaptic dendritic spines of brain neurons (Wemmie et al., 2002; Alvarez de La Rosa et al., 2003; Vukicevic and Kellenberger, 2004; Zha et al., 2006). The brain can suffer significant pH reductions during CNS pathologies, falling to as low as 6.0 during severe cerebral ischemia (Rehncrona, 1985). Given that the pH50 for activation of ASIC1a in human cortical neurons is 6.6 (Li et al., 2010), such drops in brain pH are sufficient to robustly activate ASIC1a. ASIC1a expression is upregulated in both dorsal root ganglia (DRG) and spinal dorsal horn neurons in response to inflammation, and in DRGs this upregulation is suppressed by ASIC inhibitors (Voilley et al., 2001; Duan et al., 2007). Prevention of ASIC1a endocytosis caused elevated death of cortical neurons exposed to acidosis in wild-type, but not ASIC1a knockout, mice (Zeng et al., 2013).

Multiple Sclerosis and Other Neurodegenerative Diseases

Axonal degeneration plays a major role in MS, with associated inflammation causing dysfunctional activity of mitochondria (Waxman, 2006). Using the EAE model of MS, it was found that mice in which the ASIC1 gene was genetically inactivated or the channel was inhibited with amiloride exhibited marked axonal preservation (Friese et al., 2007). Consistent with the hypothesis that ASIC1a is activated during MS, increased levels of lactate are found in brain lesions of MS patients (Bitsch et al., 1999). ASICs are also expressed in microglia, astrocytes and oligodendrocytes, major players in MS that engage in crosstalk (Domingues et al., 2016). While microglia are the primary phagocytotic cells in the CNS, astrocytes also possess the ability to phagocytose neuronal debris, axonal mitochondria, and pathological protein aggregates (Lee and Chung, 2021). In aging mice, microglia appear to accumulate myelin debris at the same time as myelin degeneration (Hill et al., 2018). Indeed, Popovich et al. (2002) demonstrated that direct activation of “CNS macrophages” (covering both invading peripheral macrophages and CNS resident microglia) results in axonal damage and demyelination. This conclusion has gained strong support over the past 20 years and activated microglia in particular seem to represent promising targets in MS (Geladaris et al., 2021). As described above, ASICs are functionally expressed in both macrophages and microglia, and contribute to their activation during periods of acidosis. Thus, the protection afforded by ASIC1a inhibition in the EAE mouse model of MS is possibly due to decreased macrophage/microglial activation as well as direct neuroprotection.

In a PD model, knockout of ASIC1a made no difference to the number of dopaminergic neurons, the key subset of neurons that are lost in this pathology and lead to motor impairment (Komnig et al., 2016). A significant build-up of lactate has been observed across all brain regions in animal models of HD, and in the frontal cortex of HD patients (Harms et al., 1997; Dautry et al., 1999; Tsang et al., 2006). Administration of an amiloride derivative in a HD model caused a reduction in polyQ aggregation, one potential effector in this pathology, both in vivo and in vitro (Wong et al., 2008). Although the authors state that this indicates a role for ASIC1a in HD, their use of a non-specific ASIC inhibitor means that one cannot rule out the potential involvement of other channels/transporters in this neurodegenerative disease.

Seizures

Epileptic seizures are associated with increased acidity in the brain, and upon CO2 administration the resultant hypercapnia allows for seizure termination through lowering of brain pH (Lennox, 1928; Wang and Sonnenschein, 1955; Miller, 2011). Overexpression of ASIC1a in mice appears to limit the duration and progression of chemoconvulsant-induced seizures, but not the number, and knockout of the gene has the converse effect (Ziemann et al., 2008). Furthermore, the beneficial effect of CO2 inhalation requires ASIC1a to interrupt induced seizures. This may be due to activation of ASICs causing generation of action potentials in inhibitory interneurons, although ASICs are also expressed in excitatory pyramidal neurons (Cho and Askwith, 2008; Ziemann et al., 2008; Weng et al., 2010). Another study found that amiloride suppressed pilocarpine-induced seizures, but the use of this pan-ASIC inhibitor makes it difficult to relate this outcome to specific involvement of ASIC1a (Liang et al., 2015). Consistent with ASIC1a playing a role in seizure termination, hippocampal levels of ASIC1a are elevated in patients with temporal lobe epilepsy (TLE) and in epileptic mice (Yang et al., 2016). It has been suggested that in a neurotypical system, seizures should be self-limiting due to the ASIC1a response to increased acidity at seizure onset; in support of this hypothesis, a single nucleotide polymorphism (SNP) in the ASIC1 gene is associated with TLE (Lv et al., 2011; Wemmie et al., 2013).

Mental Health

Patients with schizophrenia exhibit lower pH and increased lactate in the cerebellum (Halim et al., 2008), whereas patients with bipolar disorder show decreased pH in the dorsolateral prefrontal cortex and increased lactate in gray matter regions of the brain (Dager et al., 2004; Sun et al., 2006). The frontal cortex and brain homogenate of rodent models replicated these findings with both increased lactate and reduced pH observed (Halim et al., 2008; Hagihara et al., 2017). ASIC1a is abundantly expressed in the amygdala, a brain region that has been described as a chemosensor that promotes fear behavior after detection of CO2 and/or acidosis (Wemmie et al., 2003; Coryell et al., 2007; Ziemann et al., 2009). Activation or inhibition/disruption of ASIC1a and altered expression of the ASIC1 gene all modify fear-related behaviors. Coryell et al. (2007) found that loss of the ASIC1 gene affected neuronal activity in the amygdala after exposure to fear-inducing odors. Not only do ASIC1 KO mice exhibit reduced fear, overexpression of the channel increases fear responses (Wemmie et al., 2002, 2004). In humans, two SNPs in the ASIC1 gene are associated with anxiety, linking with amygdala structure and function and also risk of panic disorder (Smoller et al., 2014). Lastly, Coryell and colleagues used a mouse model to examine the link between ASIC1a and depression. They found that pharmacological inhibition and or genetic ablation of ASIC1a reduced depression like-symptoms, while restoring the gene to the amygdala returned responses back to baseline (Coryell et al., 2009).

Central Nervous System Trauma and Ischemia

As described earlier, vascular disruption due to trauma can result in acidification of the brain, and the resultant drop in pH is often sufficient to activate neuronal ASIC1a (Xiong et al., 2004; Li et al., 2010; Chassagnon et al., 2017). It was originally envisaged that neuronal ASIC1a might exacerbate ischemia-induced brain injury by contributing to excitotoxicity by virtue of its ability to mediate flux of Ca2+ into neurons in addition to Na+ (Xiong et al., 2004; Yermolaieva et al., 2004). However, recent studies suggests that, at least in the brain, activation of ASIC1a also leads to recruitment and activation of receptor-interacting serine/threonine-protein kinase 1 (RIPK1), a key mediator of necroptosis (Wang et al., 2015, 2020). Remarkably, this activation of RIPK1 occurs independently of ion flow through the channel (Wang et al., 2015).

How does ASIC1a contribute to ischemic injury when it is subject to rapid steady-state desensitisation (SSD) when exposed to sustained acidic pH in vitro (Gründer and Chen, 2010), and is distinguished from other ASICs by a reduced responsiveness to successive acid stimulations, a phenomenon known as tachyphylaxis (Chen and Grunder, 2007)? One might assume that these properties would limit the persistence of ASIC1a currents during sustained periods of tissue acidosis in vivo. However, a variety of ensuing biochemical events act to persistently activate ASIC1a during a sustained drop in tissue pH. First, ASIC1a currents are potentiated by several ischemia-related factors, including: (i) extracellular lactate which increases from a basal level of 1–2 mM to 12–20 mM during ischemia (Allen and Attwell, 2002; Gonzalez-Inchauspe et al., 2020); (ii) membrane stretch resulting from the rise in extracellular [K+] (Allen and Attwell, 2002); and (iii) CaMKII phosphorylation of ASIC1a (Gao et al., 2005). Second, during ischemic stroke, the increase in extracellular spermine prolongs ASIC1a currents and enhances recovery from SSD (Duan et al., 2011). Third, the increase in intracellular Ca2+ inhibits tachyphylaxis. Fourth, arachidonic acid, which is elevated during stroke due to activation of phospholipase A2 (PLA2), potentiates ASIC1a currents and enhances the sustained component of the current (Allen and Attwell, 2002). Finally, and perhaps most importantly, the train of cell-death signaling set off by the initial activation of ASIC1a continues regardless of the subsequent state of the channel. This includes activation of necroptosis (Wang et al., 2015; Redd et al., 2021), apoptosis (Song et al., 2019), and the stimulation of cell executioners such as calcium-activated proteases, endonucleases, and PLA2 due to the increased levels of intracellular Ca2+ (Yermolaieva et al., 2004; Xiong et al., 2007).

Thus, despite its susceptibility to desensitization (which has largely been studied under control conditions in in vitro assays), activation of ASIC1a during sustained tissue acidosis is a major contributor to ischemic injury, as evidenced by the fact that genetic ablation or specific pharmacological inhibition of ASIC1a greatly reduces the tissue damage caused by ischemic stroke (Xiong et al., 2004; McCarthy et al., 2015; Chassagnon et al., 2017). Genetic knockout or knockdown of ASIC1a, as well as pharmacological inhibition of the channel, also provide neuroprotective effects post-SCI (Hu et al., 2011; Koehn et al., 2016). However, it should be noted that these studies have focused exclusively on the role of ASIC1a in CNS neurons. Despite the critical role of immune cells in damage progression after CNS trauma, very few studies have explored whether the resident population of ASIC1a, or other ASICs, in immune cells contributes to ischemic jury of the CNS.

Conclusion

Here we have described what is currently known about the expression and role of ASICs in immune cells known to contribute to a wide range of neuropathologies. We highlight the fact that ASICs are expressed in many key CNS-resident and infiltrating immune cells involved in these pathologies and are not only expressed in neurons (Figure 5). Thus, it is important to consider whether the therapeutic benefit provided by ASIC inhibitors in some of these pathologies is exerted not only via effects on neurons, but also on immune cells.

FIGURE 5
www.frontiersin.org

Figure 5. Function, ASIC profile, and putative role of ASICs in CNS immune cells.

A common theme across immune cells is alterations to phagocytosis after exposure to acidity. Ineffective phagocytosis contributes to autoimmune diseases such as systemic lupus erythematosus (SLE) and polyarthritis (Nagata et al., 2010). Whether ASICs are the primary mediators of acidity-induced alterations in phagocytosis remains to be determined. Their role may depend on the type and severity of the pathology, in turn leading to beneficial or negative outcomes, as seen for other receptors such as P2X7 (Savio et al., 2018). The CNS is heterogenous in its way of dealing with acidity (Chesler, 2003) and immune cells also respond differently to the “type” of acidity (Kellum et al., 2004). The resultant complexity of pH-induced effects results in a multitude of unique outcomes dependent on CNS region and immune cell type, as well as the ways in which acidity is induced. To unravel the role of immune-cell ASICs in neuropathology will likely require standardization of models, including the method of acidosis induction.

Another caveat of current research on the role of ASICs in immune-cell function is the widespread use of amiloride as a broad-spectrum ASIC inhibitor. Unfortunately, amiloride has targets outside of the ASIC family, including sodium-hydrogen antiporter 1 (NHE-1), which is involved in acid-sensing and pH regulation by immune cells. Amiloride can also inhibit TRPP3 channels (Dai et al., 2007), which are thought to be involved in acid sensing in mouse spinal cord and alkaline sensing in lamprey (Huang et al., 2006; Dai et al., 2007; Jalalvand et al., 2016). This raises the question of whether the beneficial effects of amiloride in human MS patients is solely due to inhibition of ASICs (Arun et al., 2013). Much more potent and specific ASIC inhibitors are available, such as Hi1a (Chassagnon et al., 2017) and PcTx1 (Escoubas et al., 2000) for ASIC1a, mambalgins for rodent ASIC1a and ASIC1b (Diochot et al., 2012) (although they potentiate human ASIC1b under the levels of acidosis likely encountered in vivo; Cristofori-Armstrong et al., 2021) and the sea-anemone peptide APETx2 for ASIC3 (Diochot et al., 2004), and they should be used in preference to amiloride wherever possible. Unfortunately, there are no specific inhibitors available for ASIC1b and ASIC2a. A final concern with investigations of ASIC protein expression is ongoing challenges with the specificity of available ASIC antibodies. As highlighted by Lin et al. (2015), examples of lack of specificity include “positive” ASIC1a staining in a pan-ASIC1a knockout mouse (Vig et al., 2014). Thus, due to the limitations of currently available commercial antibodies, antibody staining data should always be combined with proteomics and/or functional data using subtype-specific inhibitors to provide confirmation of ASIC localization.

There are some studies where subtype-specific inhibitors or specific genetic ablation has been used to definitively demonstrate a role for ASICs in CNS pathologies, such as ischemic stroke (Pignataro et al., 2007; McCarthy et al., 2015; Chassagnon et al., 2017). However, even in these instances, the relative contribution of neuronal and immune-cell ASICs was not considered. Our understanding of how immune-cell ASICs contribute to neuropathology would be significantly enhanced by utilizing technologies that allow direct study of these channels in specific immune cells. This was achieved in an eloquent study by Yang et al. (2016) through knockdown and then restoration of ASIC1a solely on astrocytes in a mouse model of TLE. Such techniques, particularly in combination with selective pharmacological tools, will allow determination of whether pan-inhibition of specific ASIC subtypes or their inhibition only in specific cell types is likely to be therapeutically useful.

In conclusion, the role of ASIC in immune cells is an exciting frontier in neurological research. Merging CNS immune function studies with cutting-edge molecular techniques will provide greater insight into whether immune-cell ASICs are likely to be useful drug targets for CNS disorders.

Author Contributions

VF conceived the study and wrote the first draft of the manuscript. LR, MR, and GK revised and streamlined the manuscript. MR and GK contributed funding and mentored VF. All authors contributed to the article and approved the submitted version.

Funding

We acknowledge funding from the Australian Research Council (Centre of Excellence Grant CE200100012 to GK), Australian National Health and Medical Research Council (Principal Research Fellowship APP1136889 to GK and Project Grant APP1154622 to LR), and The University of Queensland (International Ph.D. Scholarship to VF).

Conflict of Interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Publisher’s Note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

Supplementary Material

The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fncel.2021.738043/full#supplementary-material

Abbreviations

AD, Alzheimer’s disease; ASIC, acid-sensing ion channel; BBB, blood–brain barrier; BCSFB, blood-cerebrospinal fluid barrier; BMM, bone marrow-derived macrophage; BSCB, blood-spinal cord barrier; CCL-2, C-C motif chemokine ligand 2; CNS, central nervous system; CRAC, calcium release-activated calcium channel; CXCL-8, interleukin-8; DAMP, damage-associated molecular pattern; DC, dendritic cell; Deg, degenerin; DRG, dorsal root ganglion; DS, lactate-based dialysis solution; EAE, experimental autoimmune encephalomyelitis; ENaC, epithelial sodium channel; HD, Huntington’s disease; ICAM-1, intercellular adhesion molecule 1; i.c.v., intracerebroventricular; IFN−γ, interferon gamma; IL, interleukin; LPS, lipopolysaccharide; MCT, monocarboxylate transporter; MHC, major histocompatibility complex; MPO, myeloperoxidase; MS, multiple sclerosis; NHE-1, sodium-hydrogen antiporter 1; NK, natural killer; NO, nitric oxide; NOS, nitric oxide synthase; OLC, oligodendrocyte lineage cell; PECAM-1, platelet endothelial cell adhesion molecule 1; PAMP, pathogen associated molecular pattern; PD, Parkinson’s disease; PNS, peripheral nervous system; PRR, pattern recognition receptor; RAW 264.7, mouse macrophage-like cell line; RIPK1, receptor-interacting serine/threonine-protein kinase 1; ROS, reactive oxygen species; SCI, spinal cord injury; SLE, systemic lupus erythematosus; SNP, single nucleotide polymorphism; TBI, traumatic brain injury; TCR, T cell receptor; TLE, temporal lobe epilepsy; TLR, Toll-like receptor; TNF, tumor necrosis factor; TRP, transient receptor potential.

References

Abbott, N., Rönnbäck, L., and Hansson, E. (2006). Astrocyte-endothelial interactions at the blood-brain barrier. Nat. Rev. Neurosci. 7, 41–53.

Google Scholar

Ajami, B., Bennett, J., Krieger, C., McNagny, K., and Rossi, F. M. (2011). Infiltrating monocytes trigger EAE progression, but do not contribute to the resident microglia pool. Nat. Neurosci. 14, 1142–1149. doi: 10.1038/nn.2887

PubMed Abstract | CrossRef Full Text | Google Scholar

Allen, N. J., and Attwell, D. (2002). Modulation of ASIC channels in rat cerebellar Purkinje neurons by ischaemia-related signals. J. Physiol. 543, 521–529. doi: 10.1113/jphysiol.2002.020297

PubMed Abstract | CrossRef Full Text | Google Scholar

Alvarez de La Rosa, D., Krueger, S. R., Kolar, A., Shao, D., Fitzsimonds, R. M., and Canessa, C. M. (2003). Distribution, subcellular localization and ontogeny of ASIC1 in the mammalian central nervous system. J. Physiol. 546, 77–87.

Google Scholar

Anderson, M., Burda, J., Ren, Y., Ao, Y., O’Shea, T., Kawaguchi, R., et al. (2016). Astrocyte scar formation aids central nervous system axon regeneration. Nature 532, 195–200. doi: 10.1038/nature17623

PubMed Abstract | CrossRef Full Text | Google Scholar

Arnould, T., Thibaut-Vercruyssen, R., Bouaziz, N., Dieu, M., Remacle, J., and Michiels, C. (2001). PGF2α, a prostanoid released by endothelial cells activated by hypoxia, is a chemoattractant candidate for neutrophil recruitment. Am. J. Pathol. 159, 345–357. doi: 10.1016/S0002-9440(10)61701-4

CrossRef Full Text | Google Scholar

Arun, T., Tomassini, V., Sbardella, E., de Ruiter, M., Matthews, L., Leite, M., et al. (2013). Targeting ASIC1 in primary progressive multiple sclerosis: evidence of neuroprotection with amiloride. Brain 136, 106–115. doi: 10.1093/brain/aws325

PubMed Abstract | CrossRef Full Text | Google Scholar

Baron, A., Voilley, N., Lazdunski, M., and Lingueglia, E. (2008). Acid sensing ion channels in dorsal spinal cord neurons. J. Neurosci. 28, 1498–1508. doi: 10.1523/jneurosci.4975-07.2008

PubMed Abstract | CrossRef Full Text | Google Scholar

Bellocq, A., Suberville, S., Philippe, C., Bertrand, F., Perez, J., Fouqueray, B., et al. (1998). Low environmental pH is responsible for the induction of nitric-oxide synthase in macrophages. Evidence for involvement of nuclear factor-kappaB activation. J. Biol. Chem. 273, 5086–5092.

Google Scholar

Bidani, A., Wang, C. Z., Saggi, S. J., and Heming, T. A. (1998). Evidence for pH sensitivity of tumor necrosis factor-alpha release by alveolar macrophages. Lung 176, 111–121. doi: 10.1007/pl00007593

PubMed Abstract | CrossRef Full Text | Google Scholar

Bielekova, B., Sung, M.-H., Kadom, N., Simon, R., McFarland, H., and Martin, R. (2004). Expansion and functional relevance of high-avidity myelin-specific CD4+ T cells in multiple sclerosis. J. Immunol. 172, 3893–3904.

Google Scholar

Bitsch, A., Bruhn, H., Vougioukas, V., Stringaris, A., Lassmann, H., Frahm, J., et al. (1999). Inflammatory CNS demyelination: histopathologic correlation with in vivo quantitative proton MR spectroscopy. Am. J. Neuroradiol. 20, 1619–1627.

Google Scholar

Bradl, M., and Lassmann, H. (2010). Oligodendrocytes: biology and pathology. Acta Neuropathol. 119, 37–53. doi: 10.1007/s00401-009-0601-5

PubMed Abstract | CrossRef Full Text | Google Scholar

Browne, S. E., and Beal, M. F. (2006). Oxidative damage in Huntington’s disease pathogenesis. Antioxid. Redox Signal. 8, 2061–2073.

Google Scholar

Butler, C. A., Popescu, A. S., Kitchener, E. J. A., Allendorf, D. H., Puigdellivol, M., and Brown, G. C. (2021). Microglial phagocytosis of neurons in neurodegeneration, and its regulation. J. Neurochem. 158, 621–639. doi: 10.1111/jnc.15327

PubMed Abstract | CrossRef Full Text | Google Scholar

Butovsky, O., Ziv, Y., Schwartz, A., Landa, G., Talpalar, A., Pluchino, S., et al. (2006). Microglia activated by IL-4 or IFN-gamma differentially induce neurogenesis and oligodendrogenesis from adult stem/progenitor cells. Mol. Cell. Neurosci. 31, 149–160. doi: 10.1016/j.mcn.2005.10.006

PubMed Abstract | CrossRef Full Text | Google Scholar

Cadiou, H., Studer, M., Jones, N. G., Smith, E. S. J., Ballard, A., McMahon, S. B., et al. (2007). Modulation of acid-sensing ion channel activity by nitric oxide. J. Neurosci. 27, 13251–13260. doi: 10.1523/JNEUROSCI.2135-07.2007

PubMed Abstract | CrossRef Full Text | Google Scholar

Calabrese, V., Mancuso, C., Calvani, M., Rizzarelli, E., Butterfield, D., and Giuffrida Stella, A. (2007). Nitric oxide in the central nervous system: neuroprotection versus neurotoxicity. Nat. Rev. Neurosci. 8, 766–775. doi: 10.1038/nrn2214

PubMed Abstract | CrossRef Full Text | Google Scholar

Campagnolo, D. I., Bartlett, J. A., Keller, S. E., Sanchez, W., and Oza, R. (1997). Impaired phagocytosis of Staphylococcus aureus in complete tetraplegics. Am. J. Phys. Med. Rehabil. 76, 276–280. doi: 10.1097/00002060-199707000-00005

PubMed Abstract | CrossRef Full Text | Google Scholar

Cao, Q., Wang, W., Gu, J., Jiang, G., Wang, K., Xu, Z., et al. (2016). Elevated expression of acid-sensing ion channel 3 inhibits epilepsy via activation of interneurons. Mol. Neurobiol. 53, 485–498. doi: 10.1007/s12035-014-9014-0

PubMed Abstract | CrossRef Full Text | Google Scholar

Cao, S., Liu, P., Zhu, H., Gong, H., Yao, J., Sun, Y., et al. (2015). Extracellular acidification acts as a key modulator of neutrophil apoptosis and functions. PLoS One 10:e0137221. doi: 10.1371/journal.pone.0139500

PubMed Abstract | CrossRef Full Text | Google Scholar

Chandy, K. G., and Norton, R. S. (2017). Peptide blockers of Kv1.3 channels in T cells as therapeutics for autoimmune disease. Curr. Opin. Chem. Biol. 38, 97–107. doi: 10.1016/j.cbpa.2017.02.015

PubMed Abstract | CrossRef Full Text | Google Scholar

Chassagnon, I. R., McCarthy, C. A., Chin, Y. K., Pineda, S. S., Keramidas, A., Mobli, M., et al. (2017). Potent neuroprotection after stroke afforded by a double-knot spider-venom peptide that inhibits acid-sensing ion channel 1a. Proc. Natl. Acad. Sci. USA 114, 3750–3755. doi: 10.1073/pnas.1614728114

PubMed Abstract | CrossRef Full Text | Google Scholar

Chen, C. C., England, S., Akopian, A. N., and Wood, J. N. (1998). A sensory neuron-specific, proton-gated ion channel. Proc. Natl. Acad. Sci. USA 95, 10240–10245. doi: 10.1073/pnas.95.17.10240

PubMed Abstract | CrossRef Full Text | Google Scholar

Chen, X. M., and Grunder, S. (2007). Permeating protons contribute to tachyphylaxis of the acid-sensing ion channel (ASIC) 1a. J. Physiol. 579, 657–670. doi: 10.1113/jphysiol.2006.120733

PubMed Abstract | CrossRef Full Text | Google Scholar

Chesler, M. (2003). Regulation and modulation of pH in the brain. Physiol. Rev. 83, 1183–1221. doi: 10.1152/physrev.00010.2003

PubMed Abstract | CrossRef Full Text | Google Scholar

Chiang, E. Y., Li, T., Jeet, S., Peng, I., Zhang, J., Lee, W. P., et al. (2017). Potassium channels Kv1.3 and KCa3.1 cooperatively and compensatorily regulate antigen-specific memory T cell functions. Nat. Commun. 8:14644. doi: 10.1038/ncomms14644

PubMed Abstract | CrossRef Full Text | Google Scholar

Cho, J.-H., and Askwith, C. (2008). Presynaptic release probability is increased in hippocampal neurons from ASIC1 knockout mice. J. Neurophysiol. 99, 426–441.

Google Scholar

Chodobski, A., Zink, B. J., and Szmydynger-Chodobska, J. (2011). Blood–brain barrier pathophysiology in traumatic brain injury. Transl. Stroke Res. 2, 492–516. doi: 10.1007/s12975-011-0125-x

PubMed Abstract | CrossRef Full Text | Google Scholar

Clemens, R. A., and Lowell, C. A. (2019). CRAC channel regulation of innate immune cells in health and disease. Cell Calcium 78, 56–65. doi: 10.1016/j.ceca.2019.01.003

PubMed Abstract | CrossRef Full Text | Google Scholar

Coryell, M. W., Wunsch, A. M., Haenfler, J. M., Allen, J. E., Schnizler, M., Ziemann, A. E., et al. (2009). Acid-sensing ion channel-1a in the amygdala, a novel therapeutic target in depression-related behavior. J. Neurosci. 29, 5381–5388. doi: 10.1523/jneurosci.0360-09.2009

PubMed Abstract | CrossRef Full Text | Google Scholar

Coryell, M. W., Ziemann, A. E., Westmoreland, P. J., Haenfler, J. M., Kurjakovic, Z., Zha, X.-M., et al. (2007). Targeting ASIC1a reduces innate fear and alters neuronal activity in the fear circuit. Biol. Psychiatry 62, 1140–1148. doi: 10.1016/j.biopsych.2007.05.008

PubMed Abstract | CrossRef Full Text | Google Scholar

Cristofori-Armstrong, B., Budusan, E., and Rash, L. D. (2021). Mambalgin-3 potentiates human acid-sensing ion channel 1b under mild to moderate acidosis: implications as an analgesic lead. Proc. Natl. Acad. Sci. USA 118:e2021581118. doi: 10.1073/pnas.2021581118

PubMed Abstract | CrossRef Full Text | Google Scholar

Dager, S. R., Friedman, S. D., Parow, A., Demopulos, C., Stoll, A. L., Lyoo, I. K., et al. (2004). Brain metabolic alterations in medication-free patients with bipolar disorder. Arch. Gen. Psychiatry 61, 450–458. doi: 10.1001/archpsyc.61.5.450

PubMed Abstract | CrossRef Full Text | Google Scholar

Dai, X. Q., Ramji, A., Liu, Y., Li, Q., Karpinski, E., and Chen, X. Z. (2007). Inhibition of TRPP3 channel by amiloride and analogs. Mol. Pharmacol. 72, 1576–1585. doi: 10.1124/mol.107.037150

PubMed Abstract | CrossRef Full Text | Google Scholar

Dautry, C., Condé, F., Brouillet, E., Mittoux, V., Beal, M. F., Bloch, G., et al. (1999). Serial 1H-NMR spectroscopy study of metabolic impairment in primates chronically treated with the succinate dehydrogenase inhibitor 3-nitropropionic acid. Neurobiol. Dis. 6, 259–268. doi: 10.1006/nbdi.1999.0244

PubMed Abstract | CrossRef Full Text | Google Scholar

De Bondt, M., Hellings, N., Opdenakker, G., and Struyf, S. (2020). Neutrophils: underestimated players in the pathogenesis of Multiple Sclerosis (MS). Int. J. Mol. Sci. 21:4558. doi: 10.3390/ijms21124558

PubMed Abstract | CrossRef Full Text | Google Scholar

Delaunay, A., Gasull, X., Salinas, M., Noël, J., Friend, V., Lingueglia, E., et al. (2012). Human ASIC3 channel dynamically adapts its activity to sense the extracellular pH in both acidic and alkaline directions. Proc. Natl. Acad. Sci. USA 109, 13124–13129. doi: 10.1073/pnas.1120350109

PubMed Abstract | CrossRef Full Text | Google Scholar

Deniset, J. F., and Kubes, P. (2018). Neutrophil heterogeneity: Bona fide subsets or polarization states? J. Leukocyte Biol. 103, 829–838. doi: 10.1002/JLB.3RI0917-361R

PubMed Abstract | CrossRef Full Text | Google Scholar

Diochot, S., Baron, A., Rash, L. D., Deval, E., Escoubas, P., Scarzello, S., et al. (2004). A new sea anemone peptide, APETx2, inhibits ASIC3, a major acid-sensitive channel in sensory neurons. EMBO J. 23, 1516–1525. doi: 10.1038/sj.emboj.7600177

PubMed Abstract | CrossRef Full Text | Google Scholar

Diochot, S., Baron, A., Salinas, M., Douguet, D., Scarzello, S., Dabert-Gay, A. S., et al. (2012). Black mamba venom peptides target acid-sensing ion channels to abolish pain. Nature 490, 552–555. doi: 10.1038/nature11494

PubMed Abstract | CrossRef Full Text | Google Scholar

Domingues, H. S., Portugal, C. C., Socodato, R., and Relvas, J. B. (2016). Oligodendrocyte, astrocyte, and microglia crosstalk in myelin development, damage, and repair. Front. Cell Dev. Biol. 4:71. doi: 10.3389/fcell.2016.00071

PubMed Abstract | CrossRef Full Text | Google Scholar

Dossi, E., Vasile, F., and Rouach, N. (2018). Human astrocytes in the diseased brain. Brain Res. Bull. 136, 139–156. doi: 10.1016/j.brainresbull.2017.02.001

PubMed Abstract | CrossRef Full Text | Google Scholar

Douvdevani, A., Abramson, O., Tamir, A., Konforty, A., Isakov, N., and Chaimovitz, C. (1995). Commercial dialysate inhibits TNFα mRNA expression and NF-κB DNA-binding activity in LPS-stimulated macrophages. Kidney Int. 47, 1537–1545. doi: 10.1038/ki.1995.217

PubMed Abstract | CrossRef Full Text | Google Scholar

Duan, B., Wang, Y.-Z., Yang, T., Chu, X.-P., Yu, Y., Huang, Y., et al. (2011). Extracellular spermine exacerbates ischemic neuronal injury through sensitization of ASIC1a channels to extracellular acidosis. J. Neurosci. 31, 2101–2112. doi: 10.1523/JNEUROSCI.4351-10.2011

PubMed Abstract | CrossRef Full Text | Google Scholar

Duan, B., Wu, L. J., Yu, Y. Q., Ding, Y., Jing, L., Xu, L., et al. (2007). Upregulation of acid-sensing ion channel ASIC1a in spinal dorsal horn neurons contributes to inflammatory pain hypersensitivity. J. Neurosci. 27, 11139–11148. doi: 10.1523/JNEUROSCI.3364-07.2007

PubMed Abstract | CrossRef Full Text | Google Scholar

Dudek, A. M., Martin, S., Garg, A. D., and Agostinis, P. (2013). Immature, semi-mature, and fully mature dendritic cells: toward a DC-cancer cells interface that augments anticancer immunity. Front. Immunol. 4:438. doi: 10.3389/fimmu.2013.00438

PubMed Abstract | CrossRef Full Text | Google Scholar

Enuka, Y., Hanukoglu, I., Edelheit, O., Vaknine, H., and Hanukoglu, A. (2012). Epithelial sodium channels (ENaC) are uniformly distributed on motile cilia in the oviduct and the respiratory airways. Histochem. Cell Biol. 137, 339–353. doi: 10.1007/s00418-011-0904-1

PubMed Abstract | CrossRef Full Text | Google Scholar

Escoubas, P., De Weille, J. R., Lecoq, A., Diochot, S., Waldmann, R., Champigny, G., et al. (2000). Isolation of a tarantula toxin specific for a class of proton-gated Na+ channels. J. Biol. Chem. 275, 25116–25121. doi: 10.1074/jbc.M003643200

PubMed Abstract | CrossRef Full Text | Google Scholar

Faff, L., and Nolte, C. (2000). Extracellular acidification decreases the basal motility of cultured mouse microglia via the rearrangement of the actin cytoskeleton. Brain Res. Bull. 853, 22–31. doi: 10.1016/S0006-8993(99)02221-0

CrossRef Full Text | Google Scholar

Feldman, D., Horiuchi, M., Keachie, K., McCauley, E., Bannerman, P., Itoh, A., et al. (2008). Characterization of acid-sensing ion channel expression in oligodendrocyte-lineage cells. Glia 56, 1238–1249. doi: 10.1002/glia.20693

PubMed Abstract | CrossRef Full Text | Google Scholar

Feldman, N., Rotter-Maskowitz, A., and Okun, E. (2015). DAMPs as mediators of sterile inflammation in aging-related pathologies. Ageing Res. Rev. 24, 29–39. doi: 10.1016/j.arr.2015.01.003

PubMed Abstract | CrossRef Full Text | Google Scholar

Feske, S., Wulff, H., and Skolnik, E. Y. (2015). Ion channels in innate and adaptive immunity. Annu. Rev. Immunol. 33, 291–353. doi: 10.1146/annurev-immunol-032414-112212

PubMed Abstract | CrossRef Full Text | Google Scholar

Ffrench-Constant, C. (1994). Pathogenesis of multiple sclerosis. Lancet 343, 271–275.

Google Scholar

Friese, M. A., Craner, M. J., Etzensperger, R., Vergo, S., Wemmie, J. A., Welsh, M. J., et al. (2007). Acid-sensing ion channel-1 contributes to axonal degeneration in autoimmune inflammation of the central nervous system. Nat. Med. 13, 1483–1489. doi: 10.1038/nm1668

PubMed Abstract | CrossRef Full Text | Google Scholar

Gao, J., Duan, B., Wang, D. G., Deng, X. H., Zhang, G. Y., Xu, L., et al. (2005). Coupling between NMDA receptor and acid-sensing ion channel contributes to ischemic neuronal death. Neuron 48, 635–646. doi: 10.1016/j.neuron.2005.10.011

PubMed Abstract | CrossRef Full Text | Google Scholar

Garty, H., and Palmer, L. (1997). Epithelial sodium channels: Function, structure, and regulation. Physiol. Rev. 77, 359–396. doi: 10.1152/physrev.1997.77.2.359

PubMed Abstract | CrossRef Full Text | Google Scholar

Geladaris, A., Hausler, D., and Weber, M. S. (2021). Microglia: the missing link to decipher and therapeutically control MS progression? Int. J. Mol. Sci. 22:3461. doi: 10.3390/ijms22073461

PubMed Abstract | CrossRef Full Text | Google Scholar

Ginhoux, F., Greter, M., Leboeuf, M., Nandi, S., See, P., Gokhan, S., et al. (2010). Fate mapping analysis reveals that adult microglia derive from primitive macrophages. Science 330, 841–845. doi: 10.1126/science.1194637

PubMed Abstract | CrossRef Full Text | Google Scholar

Gonzalez-Inchauspe, C., Gobetto, M. N., and Uchitel, O. D. (2020). Modulation of acid sensing ion channel dependent protonergic neurotransmission at the mouse calyx of Held. Neuroscience 439, 195–210. doi: 10.1016/j.neuroscience.2019.04.023

PubMed Abstract | CrossRef Full Text | Google Scholar

Gründer, S., and Chen, X. (2010). Structure, function, and pharmacology of acid-sensing ion channels (ASICs): focus on ASIC1a. Int. J. Physiol. Pathophysiol. Pharmacol. 2, 73–94.

Google Scholar

Gründer, S., Geisler, H., Bässler, L., and Ruppersberg, J. P. (2000). Cloning of ASIC 4, a new member of acid-sensing ion channels from pituitary gland. Eur. J. Neurosci. 12:22.

Google Scholar

Hagihara, H., Catts, V. S., Katayama, Y., Shoji, H., Takagi, T., Huang, F. L., et al. (2017). Decreased brain pH as a shared endophenotype of psychiatric disorders. Neuropsychopharmacology 43, 459–468. doi: 10.1038/npp.2017.167

PubMed Abstract | CrossRef Full Text | Google Scholar

Halim, N. D., Lipska, B. K., Hyde, T. M., Deep-Soboslay, A., Saylor, E. M., Herman, M. M., et al. (2008). Increased lactate levels and reduced pH in postmortem brains of schizophrenics: medication confounds. J. Neurosci. Methods 169, 208–213. doi: 10.1016/j.jneumeth.2007.11.017

PubMed Abstract | CrossRef Full Text | Google Scholar

Hanukoglu, I., and Hanukoglu, A. (2016). Epithelial sodium channel (ENaC) family: Phylogeny, structure–function, tissue distribution, and associated inherited diseases. Gene 579, 95–132. doi: 10.1016/j.gene.2015.12.061

PubMed Abstract | CrossRef Full Text | Google Scholar

Harms, L., Meierkord, H., Timm, G., Pfeiffer, L., and Ludolph, A. C. (1997). Decreased N-acetyl-aspartate/choline ratio and increased lactate in the frontal lobe of patients with Huntington’s disease: a proton magnetic resonance spectroscopy study. J. Neurol. Neurosurg. Psych. 62, 27–30. doi: 10.1136/jnnp.62.1.27

PubMed Abstract | CrossRef Full Text | Google Scholar

Heming, T. A., Davé, S. K., Tuazon, D. M., Chopra, A. K., Peterson, J. W., and Bidani, A. (2001a). Effects of extracellular pH on tumour necrosis factor-alpha production by resident alveolar macrophages. Clin. Sci. 101, 267–274.

Google Scholar

Heming, T. A., Tuazon, D. M., Davé, S. K., Chopra, A. K., Peterson, J. W., and Bidani, A. (2001b). Post-transcriptional effects of extracellular pH on tumour necrosis factor-alpha production in RAW 246.7 and J774 A.1 cells. Clin. Sci. 100, 259–266.

Google Scholar

Heppner, F. L., Greter, M., Marino, D., Falsig, J., Raivich, G., Hovelmeyer, N., et al. (2005). Experimental autoimmune encephalomyelitis repressed by microglial paralysis. Nat. Med. 11:146.

Google Scholar

Hertz, L., and Dienel, G. A. (2005). Lactate transport and transporters: general principles and functional roles in brain cells. J. Neurosci. Res. 79, 11–18. doi: 10.1002/jnr.20294

PubMed Abstract | CrossRef Full Text | Google Scholar

Hill, R. A., Li, A. M., and Grutzendler, J. (2018). Lifelong cortical myelin plasticity and age-related degeneration in the live mammalian brain. Nat. Neurosci. 21, 683–695. doi: 10.1038/s41593-018-0120-6

PubMed Abstract | CrossRef Full Text | Google Scholar

Hoagland, E. N., Sherwood, T. W., Lee, K. G., Walker, C. J., and Askwith, C. C. (2010). Identification of a calcium permeable human acid-sensing ion channel 1 transcript variant. J. Biol. Chem. 285, 41852–41862. doi: 10.1074/jbc.M110.171330

PubMed Abstract | CrossRef Full Text | Google Scholar

Hu, R., Duan, B., Wang, D. S., Yu, Y., Li, W. G., Luo, H. S., et al. (2011). Role of acid-sensing ion channel 1a in the secondary damage of traumatic spinal cord injury. Ann. Surg. 254, 353–362. doi: 10.1097/SLA.0b013e31822645b4

PubMed Abstract | CrossRef Full Text | Google Scholar

Huang, A. L., Chen, X., Hoon, M. A., Chandrashekar, J., Guo, W., Tränkner, D., et al. (2006). The cells and logic for mammalian sour taste detection. Nature 442, 934–938. doi: 10.1038/nature05084

PubMed Abstract | CrossRef Full Text | Google Scholar

Huang, C. J., Haque, I. U., Slovin, P. N., Nielsen, R. B., Fang, X., and Skimming, J. W. (2002). Environmental pH regulates LPS-induced nitric oxide formation in murine macrophages. Nitric Oxide 6, 73–78. doi: 10.1006/niox.2001.0391

PubMed Abstract | CrossRef Full Text | Google Scholar

Huang, C., Hu, Z.-L., Wu, W.-N., Yu, D.-F., Xiong, Q.-J., Song, J.-R., et al. (2010). Existence and distinction of acid-evoked currents in rat astrocytes. Glia 58, 1415–1424. doi: 10.1002/glia.21017

PubMed Abstract | CrossRef Full Text | Google Scholar

Immke, D., and McCleskey, E. (2001). Lactate enhances the acid-sensing Na+ channel on ischemia-sensing neurons. Nat. Neurosci. 4, 869–870. doi: 10.1038/nn0901-869

PubMed Abstract | CrossRef Full Text | Google Scholar

Ishibashi, K., and Marumo, F. (1998). Molecular cloning of a DEG/ENaC sodium channel cDNA from human testis. Biochem. Biophys. Res. Commun. 245, 589–593. doi: 10.1006/bbrc.1998.8483

PubMed Abstract | CrossRef Full Text | Google Scholar

Jack, C., Ruffini, F., Bar-Or, A., and Antel, J. P. (2005). Microglia and multiple sclerosis. J. Neurosci. Res. 81, 363–373. doi: 10.1002/jnr.20482

PubMed Abstract | CrossRef Full Text | Google Scholar

Jahr, H., van Driel, M., van Osch, G. J. V. M., Weinans, H., and van Leeuwen, J. P. T. M. (2005). Identification of acid-sensing ion channels in bone. Biochem. Biophys. Res. Commun. 337, 349–354.

Google Scholar

Jalalvand, E., Robertson, B., Tostivint, H., Wallén, P., and Grillner, S. (2016). The spinal cord has an intrinsic system for the control of pH. Curr. Biol. 26, 1346–1351. doi: 10.1016/j.cub.2016.03.048

PubMed Abstract | CrossRef Full Text | Google Scholar

Jasti, J., Furukawa, H., Gonzales, E. B., and Gouaux, E. (2007). Structure of acid-sensing ion channel 1 at 1.9 Å resolution and low pH. Nature 449:316. doi: 10.1038/nature06163

PubMed Abstract | CrossRef Full Text | Google Scholar

Jensen, J. C., Buresh, C., and Norton, J. A. (1990). Lactic acidosis increases tumor necrosis factor secretion and transcription in vitro. J. Surg. Res. 49, 350–353. doi: 10.1016/0022-4804(90)90036-2

CrossRef Full Text | Google Scholar

Jörres, A., Gahl, G. M., and Frei, U. (1995). In vitro studies on the effect of dialysis solutions on peritoneal leukocytes. Peritoneal Dialysis Int. 15, S41–S45.

Google Scholar

Josefsen, K., Nielsen, S., Campos, A., Seifert, T., Hasholt, L., Nielsen, J., et al. (2010). Reduced gluconeogenesis and lactate clearance in Huntington’s disease. Neurobiol. Dis. 40, 656–662. doi: 10.1016/j.nbd.2010.08.009

PubMed Abstract | CrossRef Full Text | Google Scholar

Kanyilmaz, S., Hepguler, S., Atamaz, F., Gokmen, N., Ardeniz, O., and Sin, A. (2013). Phagocytic and oxidative burst activity of neutrophils in patients with spinal cord injury. Arch. Phys. Med. Rehabil. 94, 369–374.

Google Scholar

Karman, J., Chu, H., Co, D., Seroogy, C. M., Sandor, M., and Fabry, Z. (2006). Dendritic cells amplify T cell-mediated immune responses in the central nervous system. J. Immunol. 177, 7750–7760.

Google Scholar

Kellenberger, S., and Schild, L. (2015). International union of basic and clinical pharmacology. XCI. structure, function, and pharmacology of acid-sensing ion channels and the epithelial Na+ channel. Pharmacol. Rev. 67, 1–35. doi: 10.1124/pr.114.009225

PubMed Abstract | CrossRef Full Text | Google Scholar

Kellum, J. A., Song, M., and Li, J. (2004). Science review: extracellular acidosis and the immune response: clinical and physiologic implications. Crit. Care 8, 331–336. doi: 10.1186/cc2900

PubMed Abstract | CrossRef Full Text | Google Scholar

Kierdorf, K., Erny, D., Goldmann, T., Sander, V., Schulz, C., Perdiguero, E., et al. (2013). Microglia emerge from erythromyeloid precursors via Pu.1- and Irf8-dependent pathways. Nat. Neurosci. 16, 273–280. doi: 10.1038/nn.3318

PubMed Abstract | CrossRef Full Text | Google Scholar

Kilgore, K. S., Friedrichs, G. S., Homeister, J. W., and Lucchesi, B. R. (1994). The complement system in myocardial ischaemia/reperfusion injury. Cardiovasc. Res. 28, 437–444. doi: 10.1093/cvr/28.4.437

PubMed Abstract | CrossRef Full Text | Google Scholar

Koehn, L. M., Noor, N. M., Dong, Q., Er, S.-Y., Rash, L. D., King, G. F., et al. (2016). Selective inhibition of ASIC1a confers functional and morphological neuroprotection following traumatic spinal cord injury. F1000Research 5:1822. doi: 10.12688/f1000research.9094.2

PubMed Abstract | CrossRef Full Text | Google Scholar

Komnig, D., Imgrund, S., Reich, A., Grunder, S., and Falkenburger, B. H. (2016). ASIC1a deficient mice show unaltered neurodegeneration in the subacute MPTP model of Parkinson disease. PLoS One 11:e0165235. doi: 10.1371/journal.pone.0165235

PubMed Abstract | CrossRef Full Text | Google Scholar

Kondo, M., Wagers, A. J., Manz, M. G., Prohaska, S. S., Scherer, D. C., Beilhack, G. F., et al. (2003). Biology of hematopoietic stem cells and progenitors: implications for clinical application. Annu. Rev. Immunol. 21, 759–806. doi: 10.1146/annurev.immunol.21.120601.141007

PubMed Abstract | CrossRef Full Text | Google Scholar

Kong, X., Tang, X., Du, W., Tong, J., Yan, Y., Zheng, F., et al. (2013). Extracellular acidosis modulates the endocytosis and maturation of macrophages. Cell. Immunol. 281, 44–50. doi: 10.1016/j.cellimm.2012.12.009

PubMed Abstract | CrossRef Full Text | Google Scholar

Korn, T., and Kallies, A. (2017). T cell responses in the central nervous system. Nat. Rev. Immunol. 17:179. doi: 10.1038/nri.2016.144

PubMed Abstract | CrossRef Full Text | Google Scholar

Kubota, K., Saiwai, H., Kumamaru, H., Maeda, T., Ohkawa, Y., Aratani, Y., et al. (2012). Myeloperoxidase exacerbates secondary injury by generating highly reactive oxygen species and mediating neutrophil recruitment in experimental spinal cord injury. Spine 37, 1363–1369. doi: 10.1097/BRS.0b013e31824b9e77

PubMed Abstract | CrossRef Full Text | Google Scholar

Lee, S. J., Drabik, K., Van Wagoner, N. J., Lee, S., Choi, C., Dong, Y., et al. (2000). ICAM-1-induced expression of proinflammatory cytokines in astrocytes: involvement of extracellular signal-regulated kinase and p38 mitogen-activated protein kinase pathways. J. Immunol. 165, 4658–4666.

Google Scholar

Lee, S. Y., and Chung, W. S. (2021). The roles of astrocytic phagocytosis in maintaining homeostasis of brains. J. Pharmacol. Sci. 145, 223–227. doi: 10.1016/j.jphs.2020.12.007

PubMed Abstract | CrossRef Full Text | Google Scholar

Lennox, W. G. (1928). The effect on epileptic seizures of varying the composition of the respired air. J. Clin. Invest. 6, 23–24.

Google Scholar

Li, M., Inoue, K., Branigan, D., Kratzer, E., Hansen, J. C., Chen, J. W., et al. (2010). Acid-sensing ion channels in acidosis-induced injury of human brain neurons. J. Cerebral Blood Flow Metab. 30, 1247–1260. doi: 10.1038/jcbfm.2010.30

PubMed Abstract | CrossRef Full Text | Google Scholar

Li, Q., and Barres, B. (2018). Microglia and macrophages in brain homeostasis and disease. Nat. Rev. Immunol. 18, 225–242. doi: 10.1038/nri.2017.125

PubMed Abstract | CrossRef Full Text | Google Scholar

Liang, J.-J., Huang, L.-F., Chen, X.-M., Pan, S.-Q., Lu, Z.-N., and Xiao, Z.-M. (2015). Amiloride suppresses pilocarpine-induced seizures via ASICs other than NHE in rats. Int. J. Clin. Exp. Path. 8, 14507–14513.

Google Scholar

Lin, S. H., Sun, W. H., and Chen, C. C. (2015). Genetic exploration of the role of acid-sensing ion channels. Neuropharmacology 94, 99–118. doi: 10.1016/j.neuropharm.2014.12.011

PubMed Abstract | CrossRef Full Text | Google Scholar

Luck, K., Kim, D. K., Lambourne, L., Spirohn, K., Begg, B. E., Bian, W., et al. (2020). A reference map of the human binary protein interactome. Nature 580, 402–408. doi: 10.1038/s41586-020-2188-x

PubMed Abstract | CrossRef Full Text | Google Scholar

Lv, R. J., He, J. S., Fu, Y. H., Zhang, Y. Q., Shao, X. Q., Wu, L. W., et al. (2011). ASIC1a polymorphism is associated with temporal lobe epilepsy. Epilepsy Res. 96, 74–80. doi: 10.1016/j.eplepsyres.2011.05.002

PubMed Abstract | CrossRef Full Text | Google Scholar

Lynagh, T., Mikhaleva, Y., Colding, J. M., Glover, J. C., and Pless, S. A. (2018). Acid-sensing ion channels emerged over 600 Mya and are conserved throughout the deuterostomes. Proc. Natl. Acad. Sci. USA 115, 8430–8435. doi: 10.1073/pnas.1806614115

PubMed Abstract | CrossRef Full Text | Google Scholar

Marchi, N., Granata, T., Ghosh, C., and Janigro, D. (2012). Blood-brain barrier dysfunction and epilepsy: pathophysiologic role and therapeutic approaches. Epilepsia 53, 1877–1886. doi: 10.1111/j.1528-1167.2012.03637.x

PubMed Abstract | CrossRef Full Text | Google Scholar

Martínez, D., Vermeulen, M., von Euw, E., Sabatté, J., Maggíni, J., Ceballos, A., et al. (2007). Extracellular acidosis triggers the maturation of human dendritic cells and the production of IL-12. J. Immunol. 179, 1950–1959. doi: 10.4049/jimmunol.179.3.1950

PubMed Abstract | CrossRef Full Text | Google Scholar

Maubaret, C., Delettre, C., Sola, S., and Hamel, C. P. (2002). Identification of preferentially expressed mRNAs in retina and cochlea. DNA Cell Biol. 21, 781–791. doi: 10.1089/104454902320908432

PubMed Abstract | CrossRef Full Text | Google Scholar

McCarthy, C. A., Rash, L. D., Chassagnon, I. R., King, G. F., and Widdop, R. E. (2015). PcTx1 affords neuroprotection in a conscious model of stroke in hypertensive rats via selective inhibition of ASIC1a. Neuropharmacology 99, 650–657. doi: 10.1016/j.neuropharm.2015.08.040

PubMed Abstract | CrossRef Full Text | Google Scholar

Mikhail, J. (1999). The trauma triad of death: hypothermia, acidosis, and coagulopathy. AACN Clin. Issues 10, 85–94.

Google Scholar

Miller, J. W. (2011). Stopping seizures with carbon dioxide. Epilepsy Curr. 11, 114–115. doi: 10.5698/1535-7511-11.4.114

PubMed Abstract | CrossRef Full Text | Google Scholar

Mitra, B., Tullio, F., Cameron, P. A., and Fitzgerald, M. (2012). Trauma patients with the ‘triad of death’. Emerg. Med. J. 29, 622–625. doi: 10.1136/emj.2011.113167

PubMed Abstract | CrossRef Full Text | Google Scholar

Moskowitz, M., Lo, E., and Iadecola, C. (2010). The science of stroke: mechanisms in search of treatments. Neuron 67, 181–198. doi: 10.1016/j.neuron.2010.07.002

PubMed Abstract | CrossRef Full Text | Google Scholar

Nadolni, W., and Zierler, S. (2018). The channel-kinase TRPM7 as novel regulator of immune system homeostasis. Cells 7:109. doi: 10.3390/cells7080109

PubMed Abstract | CrossRef Full Text | Google Scholar

Nagata, S., Hanayama, R., and Kawane, K. (2010). Autoimmunity and the clearance of dead cells. Cell 140, 619–630. doi: 10.1016/j.cell.2010.02.014

PubMed Abstract | CrossRef Full Text | Google Scholar

Neirinckx, V., Coste, C., Franzen, R., Gothot, A., Rogister, B., and Wislet, S. (2014). Neutrophil contribution to spinal cord injury and repair. J. Neuroinflamm. 11:150. doi: 10.1186/s12974-014-0150-2

PubMed Abstract | CrossRef Full Text | Google Scholar

Neri, T., Scalise, V., Passalacqua, I., Giusti, I., Lombardi, S., Balia, C., et al. (2018). CD18-mediated adhesion is required for the induction of a proinflammatory phenotype in lung epithelial cells by mononuclear cell-derived extracellular vesicles. Exp. Cell Res. 365, 78–84. doi: 10.1016/j.yexcr.2018.02.023

PubMed Abstract | CrossRef Full Text | Google Scholar

Nimmerjahn, A., Kirchhoff, F., and Helmchen, F. (2005). Resting microglial cells are highly dynamic surveillants of brain parenchyma in vivo. Science 308, 1314–1318. doi: 10.1126/science.1110647

PubMed Abstract | CrossRef Full Text | Google Scholar

Norris, G. T., and Kipnis, J. (2019). Immune cells and CNS physiology: Microglia and beyond. J. Exp. Med. 216, 60–70. doi: 10.1084/jem.20180199

PubMed Abstract | CrossRef Full Text | Google Scholar

Olena, Y., Leonard, A. S., Mikael, K. S., Francois, M. A., and Michael, J. W. (2004). Extracellular acidosis increases neuronal cell calcium by activating acid-sensing ion channel 1a. Proc. Natl. Acad. Sci. USA 101, 6752–6757. doi: 10.1073/pnas.0308636100

PubMed Abstract | CrossRef Full Text | Google Scholar

Paukert, M., Babini, E., Pusch, M., and Grunder, S. (2004). Identification of the Ca2+ blocking site of acid-sensing ion channel (ASIC)1: implications for channel gating. J. Gen. Physiol. 124, 383–394. doi: 10.1085/jgp.200308973

PubMed Abstract | CrossRef Full Text | Google Scholar

Peferoen, L., Kipp, M., Valk, P., Noort, J. M., and Amor, S. (2014). Oligodendrocyte-microglia cross-talk in the central nervous system. Immunology 141, 302–313. doi: 10.1111/imm.12163

PubMed Abstract | CrossRef Full Text | Google Scholar

Pignataro, G., Simon, R. P., and Xiong, Z.-G. (2007). Prolonged activation of ASIC1a and the time window for neuroprotection in cerebral ischaemia. Brain 130, 151–158. doi: 10.1093/brain/awl325

PubMed Abstract | CrossRef Full Text | Google Scholar

Polman, C. H., O’Connor, P. W., Havrdova, E., Hutchinson, M., Kappos, L., Miller, D. H., et al. (2006). A randomized, placebo-controlled trial of natalizumab for relapsing multiple sclerosis. New Engl. J. Med. 354, 899–910. doi: 10.1056/NEJMoa044397

PubMed Abstract | CrossRef Full Text | Google Scholar

Ponath, G., Park, C., and Pitt, D. (2018). The role of astrocytes in multiple sclerosis. Front. Immunol. 9:217. doi: 10.3389/fimmu.2018.00217

PubMed Abstract | CrossRef Full Text | Google Scholar

Popovich, G. P., Guan, F. Z., McGaughy, M. V., Fisher, M. L., Hickey, M. W., and Basso, M. D. (2002). The neuropathological and behavioral consequences of intraspinal microglial/macrophage activation. J. Neuropathol. Exp. Neurol. 61, 623–633. doi: 10.1093/jnen/61.7.623

PubMed Abstract | CrossRef Full Text | Google Scholar

Radu, B. M., Dumitrescu, D. I., Marin, A., Banciu, D. D., Iancu, A. D., Selescu, T., et al. (2014). Advanced type 1 diabetes is associated with ASIC alterations in mouse lower thoracic dorsal root ganglia neurons. Cell Biochem. Biophys. 68, 9–23. doi: 10.1007/s12013-013-9678-5

PubMed Abstract | CrossRef Full Text | Google Scholar

Ramesh, G., Benge, S., Pahar, B., and Philipp, M. T. (2012). A possible role for inflammation in mediating apoptosis of oligodendrocytes as induced by the Lyme disease spirochete Borrelia burgdorferi. J. Neuroinflamm. 9, 72. doi: 10.1186/1742-2094-9-72

PubMed Abstract | CrossRef Full Text | Google Scholar

Rash, L. D. (2017). Acid-sensing ion channel pharmacology, past, present, and future. Adv. Pharmacol. 79, 35–66. doi: 10.1016/bs.apha.2017.02.001

PubMed Abstract | CrossRef Full Text | Google Scholar

Redd, M. A., Scheuer, S. E., Saez, N. J., Yoshikawa, Y., Chiu, H. S., Gao, L., et al. (2021). Therapeutic inhibition of acid sensing ion channel 1a recovers heart function after ischemia-reperfusion injury. Circulation doi: 10.1161/CIRCULATIONAHA.121.054360

PubMed Abstract | CrossRef Full Text | Google Scholar

Rehncrona, S. (1985). Brain acidosis. Ann. Emerg. Med. 14, 770–776. doi: 10.1016/S0196-0644(85)80055-X

CrossRef Full Text | Google Scholar

Reis e Sousa, C. (2006). Dendritic cells in a mature age. Nat. Rev. Immunol. 6, 476–483. doi: 10.1038/nri1845

PubMed Abstract | CrossRef Full Text | Google Scholar

Riemann, A., Wußling, H., Loppnow, H., Fu, H., Reime, S., and Thews, O. (2016). Acidosis differently modulates the inflammatory program in monocytes and macrophages. Biochim. Biophys. Acta 1862, 72–81. doi: 10.1016/j.bbadis.2015.10.017

PubMed Abstract | CrossRef Full Text | Google Scholar

Rock, K. L., Latz, E., Ontiveros, F., and Kono, H. (2010). The sterile inflammatory response. Ann. Rev. Immunol. 28, 321–342. doi: 10.1146/annurev-immunol-030409-101311

PubMed Abstract | CrossRef Full Text | Google Scholar

Rotstein, O. D., Fiegel, V. D., Simmons, R. L., and Knighton, D. R. (1988). The deleterious effect of reduced pH and hypoxia on neutrophil migration in vitro. J. Surg. Res. 45, 298–303. doi: 10.1016/0022-4804(88)90079-0

CrossRef Full Text | Google Scholar

Sagar, D., Lamontagne, A., Foss, C. A., Khan, Z. K., Pomper, M. G., and Jain, P. (2012). Dendritic cell CNS recruitment correlates with disease severity in EAE via CCL2 chemotaxis at the blood–brain barrier through paracellular transmigration and ERK activation. J. Neuroinflamm. 9:245. doi: 10.1186/1742-2094-9-245

PubMed Abstract | CrossRef Full Text | Google Scholar

Savio, L. E. B., de Andrade Mello, P., da Silva, C. G., and Coutinho-Silva, R. (2018). The P2X7 receptor in inflammatory diseases: angel or demon? Front. Pharmacol. 6:52. doi: 10.3389/fphar.2018.00052

PubMed Abstract | CrossRef Full Text | Google Scholar

Schulz, C., Chorro, L., Szabo-Rogers, H., Cagnard, N., Kierdorf, K., Prinz, M., et al. (2012). A lineage of myeloid cells independent of myb and hematopoietic stem cells. Science 336, 86–90. doi: 10.1126/science.1219179

PubMed Abstract | CrossRef Full Text | Google Scholar

Schulz, J. B., Huang, P. L., Matthews, R. T., Passov, D., Fishman, M. C., and Beal, M. F. (1996). Striatal malonate lesions are attenuated in neuronal nitric oxide synthase knockout mice. J. Neurochem. 67, 430–433.

Google Scholar

Serrano, C., Fraticelli, A., Paniccia, R., Teti, A., Noble, B., Corda, S., et al. (1996). pH dependence of neutrophil-endothelial cell adhesion and adhesion molecule expression. Am. J. Physiol. Cell Physiol. 271, C962–C970.

Google Scholar

Sherwood, T. W., Lee, K. G., Gormley, M. G., and Askwith, C. C. (2011). Heteromeric acid-sensing ion channels (ASICs) composed of ASIC2b and ASIC1a display novel channel properties and contribute to acidosis-induced neuronal death. J. Neurosci. 31, 9723–9734. doi: 10.1523/JNEUROSCI.1665-11.2011

PubMed Abstract | CrossRef Full Text | Google Scholar

Shteinikov, V. Y., Korosteleva, A. S., Tikhonova, T. B., Potapieva, N. N., and Tikhonov, D. B. (2017). Ligands of histamine receptors modulate acid-sensing ion channels. Biochem. Biophys. Res. Commun. 490, 1314–1318. doi: 10.1016/j.bbrc.2017.07.019

PubMed Abstract | CrossRef Full Text | Google Scholar

Sinescu, C., Popa, F., Grigorean, V. T., Onose, G., Sandu, A., Popescu, M., et al. (2010). Molecular basis of vascular events following spinal cord injury. J. Med. Life 3, 254–261.

Google Scholar

Sluka, K., Price, M. P., Breese, N., Stucky, C., Wemmie, J., and Welsh, M. (2003). Chronic hyperalgesia induced by repeated acid injections in muscle is abolished by the loss of ASIC3, but not ASIC1. Pain 106, 229–239. doi: 10.1016/S0304-3959(03)00269-0

CrossRef Full Text | Google Scholar

Smith, E. S., Cadiou, H., and McNaughton, P. A. (2007). Arachidonic acid potentiates acid-sensing ion channels in rat sensory neurons by a direct action. Neuroscience 145, 686–698. doi: 10.1016/j.neuroscience.2006.12.024

PubMed Abstract | CrossRef Full Text | Google Scholar

Smoller, J. W., Gallagher, P. J., Duncan, L. E., McGrath, L. M., Haddad, S. A., Holmes, A. J., et al. (2014). The human ortholog of acid-sensing ion channel gene ASIC1a is associated with panic disorder and amygdala structure and function. Biol. Psychiat. 76, 902–910. doi: 10.1016/j.biopsych.2013.12.018

PubMed Abstract | CrossRef Full Text | Google Scholar

Song, N., Lu, Z., Zhang, J., Shi, Y., Ning, Y., Chen, J., et al. (2019). Acid-sensing ion channel 1a is involved in ischaemia/reperfusion induced kidney injury by increasing renal epithelia cell apoptosis. J. Cell. Mol. Med. 23, 3429–3440. doi: 10.1111/jcmm.14238

PubMed Abstract | CrossRef Full Text | Google Scholar

Stranahan, A. M., Hao, S., Dey, A., Yu, X., and Baban, B. (2016). Blood-brain barrier breakdown promotes macrophage infiltration and cognitive impairment in leptin receptor-deficient mice. J. Cerebral. Blood Flow Metab. 36, 2108–2121. doi: 10.1177/0271678X16642233

PubMed Abstract | CrossRef Full Text | Google Scholar

Sun, X., Wang, J.-F., Tseng, M., and Young, L. T. (2006). Downregulation in components of the mitochondrial electron transport chain in the postmortem frontal cortex of subjects with bipolar disorder. J. Psychiatry Neurosci. 31, 189–196.

Google Scholar

Suzuki, H., Savitz, J., Kent Teague, T., Gandhapudi, S. K., Tan, C., Misaki, M., et al. (2017). Altered populations of natural killer cells, cytotoxic T lymphocytes, and regulatory T cells in major depressive disorder: Association with sleep disturbance. Brain Behav. Immun. 66, 193–200. doi: 10.1016/j.bbi.2017.06.011

PubMed Abstract | CrossRef Full Text | Google Scholar

Suzuki, Y., Nagai, N., and Umemura, K. (2016). A review of the mechanisms of blood-brain barrier permeability by tissue-type plasminogen activator treatment for cerebral ischemia. Front. Cell. Neurosci. 10:2. doi: 10.3389/fncel.2016.00002

PubMed Abstract | CrossRef Full Text | Google Scholar

Tan, J., Xu, Y. P., Liu, G. P., and Ye, X. H. (2013). Involvement of acid-sensing ion channel 1a in functions of cultured human retinal pigment epithelial cells. J. Huazhong Univ. Sci. Technol. Med. Sci. 33, 137–141. doi: 10.1007/s11596-013-1086-y

PubMed Abstract | CrossRef Full Text | Google Scholar

Taoka, Y., Okajima, K., Murakami, K., Johno, M., and Naruo, M. (1998). Role of neutrophil elastase in compression-induced spinal cord injury in rats. Brain Res. Bull. 799, 264–269. doi: 10.1016/S0006-8993(98)00459-4

CrossRef Full Text | Google Scholar

Tian, Y., Bresenitz, P., Reska, A., El Moussaoui, L., Beier, C. P., and Gründer, S. (2017). Glioblastoma cancer stem cell lines express functional acid sensing ion channels ASIC1a and ASIC3. Sci. Rep. 7:13674. doi: 10.1038/s41598-017-13666-9

PubMed Abstract | CrossRef Full Text | Google Scholar

Tong, J., Wu, W.-N., Kong, X., Wu, P.-F., Tian, L., Du, W., et al. (2011). Acid-sensing ion channels contribute to the effect of acidosis on the function of dendritic cells. J. Immunol. 186, 3686–3692.

Google Scholar

Town, T., Tan, J., Flavell, R. A., and Mullan, M. (2005). T-cells in Alzheimer’s disease. Neuro Mol. Med. 7, 255–264. doi: 10.1385/NMM:7:3:255

CrossRef Full Text | Google Scholar

Trevani, A. S., Andonegui, G., Giordano, M., López, D. H., Gamberale, R., Minucci, F., et al. (1999). Extracellular acidification induces human neutrophil activation. J. Immunol. 162, 4849–4857.

Google Scholar

Tsang, T. M., Woodman, B., McLoughlin, G. A., Griffin, J. L., Tabrizi, S. J., Bates, G. P., et al. (2006). Metabolic characterization of the R6/2 transgenic mouse model of Huntington’s disease by high-resolution MAS 1H NMR spectroscopy. J. Proteome Res. 5, 483–492.

Google Scholar

Turner, M. D., Nedjai, B., Hurst, T., and Pennington, D. J. (2014). Cytokines and chemokines: at the crossroads of cell signalling and inflammatory disease. Biochim. Biophys. Acta 1843, 2563–2582.

Google Scholar

Vaeth, M., and Feske, S. (2018). Ion channelopathies of the immune system. Curr. Opin. Immunol. 52, 39–50. doi: 10.1016/j.coi.2018.03.021

PubMed Abstract | CrossRef Full Text | Google Scholar

Vergo, S., Craner, M., Etzensperger, R., Attfield, K., Friese, M., Newcombe, J., et al. (2011). Acid-sensing ion channel 1 is involved in both axonal injury and demyelination in multiple sclerosis and its animal model. Brain 134, 571–584. doi: 10.1093/brain/awq337

PubMed Abstract | CrossRef Full Text | Google Scholar

Vermeulen, M. E., Gamberale, R., Trevani, A. S., Martinez, D., Ceballos, A., Sabatte, J., et al. (2004). The impact of extracellular acidosis on dendritic cell function. Crit. Rev. Immunol. 24, 363–384. doi: 10.1615/CritRevImmunol.v24.i5.40

PubMed Abstract | CrossRef Full Text | Google Scholar

Vig, P. J. S., Hearst, S. M., Shao, Q. M., and Lopez, M. E. (2014). Knockdown of Acid-Sensing Ion Channel 1a (ASIC1a) suppresses disease phenotype in SCA1 mouse model. Cerebellum 13, 479–490. doi: 10.1007/s12311-014-0563-6

PubMed Abstract | CrossRef Full Text | Google Scholar

Voilley, N., de Weille, J., Mamet, J., and Lazdunski, M. (2001). Nonsteroid anti-inflammatory drugs inhibit both the activity and the inflammation-induced expression of acid-sensing ion channels in nociceptors. J. Neurosci. 21, 8026–8033. doi: 10.1523/JNEUROSCI.21-20-08026.2001

PubMed Abstract | CrossRef Full Text | Google Scholar

Vukicevic, M., and Kellenberger, S. (2004). Modulatory effects of acid-sensing ion channels on action potential generation in hippocampal neurons. Am. J. Physiol. Cell Physiol. 287, C682–C690.

Google Scholar

Waldmann, R., Champigny, G., Bassilana, F., Heurteaux, C., and Lazdunski, M. (1997). A proton-gated cation channel involved in acid-sensing. Nature 386, 173. doi: 10.1038/386173a0

PubMed Abstract | CrossRef Full Text | Google Scholar

Waldmann, R., Champigny, G., Lingueglia, E., De Weille, J. R., Heurteaux, C., and Lazdunski, M. (1999). H+-gated cation channels. Ann. N.Y. Acad. Sci. 868, 67–76.

Google Scholar

Wang, J.-J., Liu, F., Yang, F., Wang, Y.-Z., Qi, X., Li, Y., et al. (2020). Disruption of auto-inhibition underlies conformational signaling of ASIC1a to induce neuronal necroptosis. Nat. Commun. 11:475. doi: 10.1038/s41467-019-13873-0

PubMed Abstract | CrossRef Full Text | Google Scholar

Wang, R. I., and Sonnenschein, R. R. (1955). pH of cerebral cortex during induced convulsions. J. Neurophysiol. 18, 130–137. doi: 10.1152/jn.1955.18.2.130

PubMed Abstract | CrossRef Full Text | Google Scholar

Wang, Y.-Z., Wang, J.-J., Huang, Y., Liu, F., Zeng, W.-Z., Li, Y., et al. (2015). Tissue acidosis induces neuronal necroptosis via ASIC1a channel independent of its ionic conduction. eLife 4:e05682. doi: 10.7554/eLife.05682

PubMed Abstract | CrossRef Full Text | Google Scholar

Waxman, S. G. (2006). Axonal conduction and injury in multiple sclerosis: the role of sodium channels. Nat. Rev. Neurosci. 7, 932–941. doi: 10.1038/nrn2023

PubMed Abstract | CrossRef Full Text | Google Scholar

Wemmie, J. A., Chen, J., Askwith, C. C., Hruska-Hageman, A. M., Price, M. P., Nolan, B. C., et al. (2002). The acid-activated ion channel ASIC contributes to synaptic plasticity, learning, and memory. Neuron 34, 463–477. doi: 10.1016/s0896-6273(02)00661-x

CrossRef Full Text | Google Scholar

Wemmie, J. A., Coryell, M. W., Askwith, C. C., Lamani, E., Leonard, A. S., Sigmund, C. D., et al. (2004). Overexpression of acid-sensing ion channel 1a in transgenic mice increases acquired fear-related behavior. Proc. Natl. Acad. Sci. USA 101, 3621–3626. doi: 10.1073/pnas.0308753101

PubMed Abstract | CrossRef Full Text | Google Scholar

Wemmie, J., Askwith, C., Lamani, E., Cassell, M. D., Freeman, J., and Welsh, M. (2003). Acid-sensing ion channel 1 is localized in brain regions with high synaptic density and contributes to fear conditioning. J. Neurosci. 23, 5496–5502.

Google Scholar

Wemmie, J., Taugher, R., and Kreple, C. (2013). Acid-sensing ion channels in pain and disease. Nat. Rev. Neurosci. 14, 461–471. doi: 10.1038/nrn3529

PubMed Abstract | CrossRef Full Text | Google Scholar

Weng, J. Y., Lin, Y. C., and Lien, C. C. (2010). Cell type-specific expression of acid-sensing ion channels in hippocampal interneurons. J. Neurosci. 30, 6548–6558. doi: 10.1523/jneurosci.0582-10.2010

PubMed Abstract | CrossRef Full Text | Google Scholar

Wong, G. H. W., Bartlett, P. F., Clark-Lewis, I., McKimm-Breschkin, J. L., and Schrader, J. W. (1984). Interferon-γ induces the expression of H-2 and Ia antigens on brain cells. J. Neuroimmunol. 7, 255–278. doi: 10.1016/S0165-5728(84)80026-0

CrossRef Full Text | Google Scholar

Wong, H. K., Bauer, P. O., Kurosawa, M., Goswami, A., Washizu, C., Machida, Y., et al. (2008). Blocking acid-sensing ion channel 1 alleviates Huntington’s disease pathology via an ubiquitin-proteasome system-dependent mechanism. Hum. Mol. Genet. 17, 3223–3235. doi: 10.1093/hmg/ddn218

PubMed Abstract | CrossRef Full Text | Google Scholar

Woodfin, A., Voisin, M.-B., and Nourshargh, S. (2007). PECAM-1: a multi-functional molecule in inflammation and vascular biology. Arterioscler. Thromb. Vasc. Biol. 27, 2514–2523. doi: 10.1161/ATVBAHA.107.151456

PubMed Abstract | CrossRef Full Text | Google Scholar

Wu, Y., Gao, B., Xiong, Q. J., Wang, Y. C., Huang, D. K., and Wu, W. N. (2017). Acid-sensing ion channels contribute to the effect of extracellular acidosis on proliferation and migration of A549 cells. Tumour Biol. 39:1010428317705750. doi: 10.1177/1010428317705750

PubMed Abstract | CrossRef Full Text | Google Scholar

Xiong, Z. G., Chu, X. P., and Simon, R. P. (2007). Acid sensing ion channels—novel therapeutic targets for ischemic brain injury. Front. Biosci. 12, 1376–1386. doi: 10.2741/2154

PubMed Abstract | CrossRef Full Text | Google Scholar

Xiong, Z.-G., Zhu, X.-M., Chu, X.-P., Minami, M., Hey, J., Wei, W.-L., et al. (2004). Neuroprotection in ischemia: blocking calcium-permeable acid-sensing ion channels. Cell 118, 687–698.

Google Scholar

Yamasaki, R., Lu, H., Butovsky, O., Ohno, N., Rietsch, A. M., Cialic, R., et al. (2014). Differential roles of microglia and monocytes in the inflamed central nervous system. J. Exp. Med. 211, 1533–1549. doi: 10.1084/jem.20132477

PubMed Abstract | CrossRef Full Text | Google Scholar

Yang, F., Sun, X., Ding, Y., Ma, H., Yang, T. O., Ma, Y., et al. (2016). Astrocytic acid-sensing ion channel 1a contributes to the development of chronic epileptogenesis. Sci. Rep. 6:31581. doi: 10.1038/srep31581

PubMed Abstract | CrossRef Full Text | Google Scholar

Yermolaieva, O., Leonard, A. S., Schnizler, M. K., Abboud, F. M., and Welsh, M. J. (2004). Extracellular acidosis increases neuronal cell calcium by activating acid-sensing ion channel 1a. Proc. Natl. Acad. Sci. USA 101, 6752–6757.

Google Scholar

Yu, X.-W., Hu, Z.-L., Ni, M., Fang, P., Zhang, P.-W., Shu, Q., et al. (2015). Acid-sensing ion channels promote the inflammation and migration of cultured rat microglia. Glia 63, 483–496. doi: 10.1002/glia.22766

PubMed Abstract | CrossRef Full Text | Google Scholar

Yuan, F. L., Chen, F. H., Lu, W. G., Li, X., Li, J. P., Li, C. W., et al. (2010). Inhibition of acid-sensing ion channels in articular chondrocytes by amiloride attenuates articular cartilage destruction in rats with adjuvant arthritis. Inflamm. Res. 59, 939–947. doi: 10.1007/s00011-010-0206-4

PubMed Abstract | CrossRef Full Text | Google Scholar

Zamanian, J., Xu, L., Foo, L. C., Nouri, N., Zhou, L., Giffard, R. G., et al. (2012). Genomic analysis of reactive astrogliosis. J. Neurosci. 32, 6391–6410. doi: 10.1523/JNEUROSCI.6221-11.2012

PubMed Abstract | CrossRef Full Text | Google Scholar

Zampieri, F. G., Kellum, J. A., Park, M., Ranzani, O. T., Barbeiro, H. V., de Souza, H. P., et al. (2014). Relationship between acid-base status and inflammation in the critically ill. Crit. Care 18:R154. doi: 10.1186/cc13993

PubMed Abstract | CrossRef Full Text | Google Scholar

Zeinstra, E., Wilczak, N., Streefland, C., and De Keyser, J. (2000). Astrocytes in chronic active multiple sclerosis plaques express MHC class II molecules. NeuroReport 11, 89–91. doi: 10.1097/00001756-200001170-00018

PubMed Abstract | CrossRef Full Text | Google Scholar

Zeng, W., Liu, D., Duan, B., Song, X. L., Wang, X., Wei, D., et al. (2013). Molecular mechanism of constitutive endocytosis of acid-sensing ion channel 1a and its protective function in acidosis-induced neuronal death. J. Neurosci. 33, 7066–7078. doi: 10.1523/JNEUROSCI.5206-12.2013

PubMed Abstract | CrossRef Full Text | Google Scholar

Zha, X. M., Wemmie, J. A., Green, S. H., and Welsh, M. J. (2006). Acid-sensing ion channel 1a is a postsynaptic proton receptor that affects the density of dendritic spines. Proc. Natl. Acad. Sci. USA 103, 16556–16561. doi: 10.1073/pnas.0608018103

PubMed Abstract | CrossRef Full Text | Google Scholar

Zhou, Z.-H., Song, J.-W., Li, W., Liu, X., Cao, L., Wan, L.-M., et al. (2017). The acid-sensing ion channel, ASIC2, promotes invasion and metastasis of colorectal cancer under acidosis by activating the calcineurin/NFAT1 axis. J. Exp. Clin. Cancer Res. 36:130. doi: 10.1186/s13046-017-0599-9

PubMed Abstract | CrossRef Full Text | Google Scholar

Ziemann, A. E., Allen, J. E., Dahdaleh, N. S., Drebot, I. I., Coryell, M. W., Wunsch, A. M., et al. (2009). The amygdala is a chemosensor that detects carbon dioxide and acidosis to elicit fear behavior. Cell 139, 1012–1021. doi: 10.1016/j.cell.2009.10.029

PubMed Abstract | CrossRef Full Text | Google Scholar

Ziemann, A. E., Schnizler, M. K., Albert, G. W., Severson, M. A., Howard, M. A., Welsh, M. J., et al. (2008). Seizure termination by acidosis depends on ASIC1a. Nat. Neurosci. 11, 816–822. doi: 10.1038/nn.2132

PubMed Abstract | CrossRef Full Text | Google Scholar

Keywords: acid-sensing ion channel (ASIC), central nervous system, immune cell, acidosis, neuropathology, neuroimmunology, ion channel

Citation: Foster VS, Rash LD, King GF and Rank MM (2021) Acid-Sensing Ion Channels: Expression and Function in Resident and Infiltrating Immune Cells in the Central Nervous System. Front. Cell. Neurosci. 15:738043. doi: 10.3389/fncel.2021.738043

Received: 08 July 2021; Accepted: 30 August 2021;
Published: 17 September 2021.

Edited by:

Enrique Soto, Meritorious Autonomous University of Puebla, Mexico

Reviewed by:

Zhigang Xiong, Morehouse School of Medicine, United States
Marcelo D. Carattino, University of Pittsburgh, United States

Copyright © 2021 Foster, Rash, King and Rank. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Glenn F. King, Z2xlbm4ua2luZ0BpbWIudXEuZWR1LmF1

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.