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. 2020 Dec 11;9(12):460. doi: 10.3390/biology9120460

Tissue Acidosis Associated with Ischemic Stroke to Guide Neuroprotective Drug Delivery

Orsolya M Tóth 1, Ákos Menyhárt 1, Rita Frank 1, Dóra Hantosi 1, Eszter Farkas 1,*,, Ferenc Bari 1,
PMCID: PMC7764344  PMID: 33322264

Abstract

Simple Summary

Ischemic stroke is caused by the blockade of a blood vessel in the brain. Consequently, the brain region supplied by the blocked vessel suffers brain damage and becomes acidic. Here we provide a summary of the causes and consequences of acid accumulation in the brain tissue. Ischemic stroke requires immediate medical attention to minimize the damage of brain tissue, and to save function. It would be desirable for the medical treatment to target the site of injury selectively, to enrich the site of ongoing injury with the protective agent, and to avoid undesirable side effects at the same time. We propose that acid accumulation at the sight of brain tissue injury can be used to delineate the region that would benefit most from medical treatment. Tiny drug carriers known as nanoparticles may be loaded with drugs that protect the brain tissue. These nanoparticles may be designed to release their drug cargo in response to an acidic environment. This would ensure that the therapeutic agent is directed selectively to the site where it is needed. Ultimately, this approach may offer a new way to treat stroke patients with the hope of more effective therapy, and better stroke outcome.

Abstract

Ischemic stroke is a leading cause of death and disability worldwide. Yet, the effective therapy of focal cerebral ischemia has been an unresolved challenge. We propose here that ischemic tissue acidosis, a sensitive metabolic indicator of injury progression in cerebral ischemia, can be harnessed for the targeted delivery of neuroprotective agents. Ischemic tissue acidosis, which represents the accumulation of lactic acid in malperfused brain tissue is significantly exacerbated by the recurrence of spreading depolarizations. Deepening acidosis itself activates specific ion channels to cause neurotoxic cellular Ca2+ accumulation and cytotoxic edema. These processes are thought to contribute to the loss of the ischemic penumbra. The unique metabolic status of the ischemic penumbra has been exploited to identify the penumbra zone with imaging tools. Importantly, acidosis in the ischemic penumbra may also be used to guide therapeutic intervention. Agents with neuroprotective promise are suggested here to be delivered selectively to the ischemic penumbra with pH-responsive smart nanosystems. The administered nanoparticels release their cargo in acidic tissue environment, which reliably delineates sites at risk of injury. Therefore, tissue pH-targeted drug delivery is expected to enrich sites of ongoing injury with the therapeutical agent, without the risk of unfavorable off-target effects.

Keywords: acidosis, cerebral ischemia, penumbra, nanomedicine, neuroprotection, pH imaging, smart nanosystem, spreading depolarization, tissue pH

1. Introduction

Acute cerebral ischemia is a significant cause of irreversible brain injury. Global cerebral ischemia is created by the complete cessation of blood supply to the brain associated most frequently with cardiac arrest. Conversely, focal cerebral ischemia, which accounts for 80 % of all stroke cases, is caused by the obstruction of a cerebral blood vessel by atherosclerosis or embolization [1]. Most often, cerebral ischemia is incomplete. Adjacent to the core of the injury, residual blood flow persists, the local cerebral blood flow (CBF) ranging between 15–25 mL/100 g/min or 20–40% relative to baseline [2,3]. This narrow tissue band embracing the infarcted core has been known as the ischemic penumbra [3]. In contrast with the necrotic core, the penumbra consists of electrophysiologically inactive but viable and, most importantly, salvageable tissue [3,4,5,6], which places it in the center of ischemic neuroprotective therapy.

It is important to realize that the penumbra evolves dynamically in space and time [7]. Over the hours following the cerebrovascular occlusion, a significant volume of the peri-infarct penumbra may be recruited to the necrotic infarction as spreading depolarizations (SDs) [8,9] propagate across tissue at risk [7,10,11,12,13]. In fact, recurrent SDs, which are appreciated to arise at inner penumbra from minutes to days after the primary impact, have been understood as the principal mechanism of lesion progression in the acutely injured human brain [14,15]. In particular, SDs occur in hypoperfused nervous tissue due to metabolic supply demand mismatch [16], and in turn, exacerbate the ischemia-related metabolic burden [17]. The SD-linked metabolic challenge is faithfully reflected by tissue acidosis, the focus of the present review [18,19]. Importantly, the metabolic crisis associated with SD [20] may prove fatal to the penumbra tissue [21,22]. Over recent years, the opinion has been formulated that the pattern of SD recurrence should be considered as a biomarker of metabolic failure in neurointensive care [23], and SDs have been proposed as a therapeutic target in the management of acute brain injury, including ischemic stroke [24].

Even though there is a pressing need for the successful treatment of focal cerebral ischemia, clinical therapeutic options have been limited to the application of tissue plasminogen activator (tPA), or mechanical thrombectomy [25]. Yet, a high proportion of ischemic stroke patients cannot benefit from these interventions. Additional neuroprotective strategies are thus urgently required to alleviate ischemic neuronal injury when recanalization is not an option, or as supportive, adjuvant treatment after recanalization to mitigate reperfusion injury.

The development of drug delivery systems may be a key element to achieve successful therapy [26,27,28]. The particular advantages of drug delivery systems in brain injury include that (i) blood-brain barrier permeability for a specific drug is substantially increased, (ii) drug delivery can be targeted selectively to sites at risk of injury, (iii) these systems carry the potential of gradual drug release to elongate drug exposure, and (iv) local drug concentration may become high enough to exert therapeutic effect, without the risk of drug accumulation in non-target tissues, which carries the risk of undesirable side effects or off-target toxicity. “Smart” nanonsystems may meet all these requirements, and provide an effective tool in the management of ischemic stroke [29,30].

This review is dedicated to provide an overview of tissue acidosis as it occurs in ischemic stroke, particularly in the ischemic penumbra. First, a concise mechanistic insight into ischemic tissue acidosis and acidotoxicity will be provided. Next, the utilization of tissue acidosis as a clinical tool to outline the ischemic penumbra will be presented. Finally, tissue acidosis as a guide to therapeutic, nanomedical intervention with the purpose to save the ischemic penumbra will be contemplated (Figure 1).

Figure 1.

Figure 1

The stroke-associated metabolic acidosis of the nervous tissue, which is lethal to neurons above a critical threshold (“Acidotoxicity”), may be harnessed for the accurate identification of the ischemic penumbra (“Diagnostic tool”), or for focusing drug delivery selectively to the ischemic penumbra (“Guide for therapy”) with smart nanosystems.

2. Mechanistic Insight into Ischemic Tissue Acidosis and Acidotoxicity

2.1. Mechanisms to Cause Cerebral Ischemic Tissue Acidosis

The shortage of metabolic substrates and oxygen, a condition that characterizes cerebral ischemia leads to metabolic acidosis. The limited availability of oxygen favors anaerobic glycolysis: pyruvate is reduced to lactate at the concomitant generation of a proton, which causes lactic acidosis [31]. In turn, tissue pH after cerebral ischemia onset decreases following an inversely linear relationship with tissue lactate concentration [31,32,33,34]. In addition, tissue pCO2 rises up to 3–4 fold, which may also contribute to tissue acidosis [35].

Even though astrocytes were initially thought to be a major source of acid production under cerebral ischemia [36,37], this interpretation was later contended and compartmentation of H+ was found to be negligible in the ischemic nervous tissue [34,38]. Intra- and extracellular acidosis with SD acquired at tissue level also displayed corresponding kinetics [19], indicating that acidosis in the intra-and extracellular space must be approximately matching in the metabolically challenged tissue. Indeed, intra-and extracellular pH in the ischemic nervous tissue probably equilibrates rapidly, because lactate newly produced in neurons and astrocytes is quickly released into the extracellular space as lactic acid via lactate/proton cotransport [39]. Metabolic acidosis may therefore not be restricted to specific cellular compartments.

The spatial and temporal kinetics of metabolic acidosis changes dynamically with the progression of ischemia. As such, tissue pH in the ischemic core may become as low as pH 6.0, while tissue pH fluctuates around pH 6.5–6.9 in the peri-infarct penumbra, as estimated in the acute middle cerebral artery occlusion (MCAO) rodent model of focal ischemic stroke [40,41]. In case the tissue is reperfused, tissue pH in the ischemic penumbra may display an alkalotic shift (pH 7.63) in the first hour post-ischemia, which is followed by gradual acidosis over the following hours (down to pH 6.58), coincident with infarct maturation [41,42]. In most studies dedicated to the exploration of cerebral ischemia-related tissue acidosis, the occurrence and contribution of SD has been overlooked [35,40,43]. It is important to recognize that the occurrence of SD transiently aggravates tissue acidosis, because SD propagating over the ischemic penumbra causes lactate load additional to that associated with hypoperfusion alone [18,44,45]. SD thus causes a decrease of tissue pH by around 0.3–0.5 pH units, taking off from mild or moderate acidosis [18,19] (Figure 2). For example, pH 6.9–7.1 was measured in the rat parietal cortex shortly after the bilateral occlusion of the common carotid arteries, but prior to the spontaneous occurrence of SD [19]. The SD emerging within minutes after ischemia onset aggravated tissue acidosis and decreased tissue pH down to 6.5 in average [19]. Further, the duration of the SD-related acid burden corresponds to SD duration lasting for a few minutes under ischemic penumbra conditions [46], which is increasingly longer in tissue zones undergoing more severe metabolic crisis [14,17]. Moreover, the SD-related acid load is remarkably extended with aging in the ischemic nervous tissue [46], which may contribute to the age-related acceleration of ischemic lesion maturation [47]. Finally, recurrent SDs in close succession may pose a sustained lactic acid load [20,48]. This is of importance because the prolongation of acid exposure is understood to lower the threshold of acidosis induced cell death [49]. Overall, SD may be perceived as a central mechanism of ischemic tissue acidosis.

Figure 2.

Figure 2

Representative traces demonstrate the association of tissue acidosis (blue) with ischemia onset (bilateral common carotid artery occlusion; (red) and spreading depolarization (SD); (black) in the rat parietal cortex. Tissue pH was measured with a pH-sensitive microelectrode implanted in the cortex, cerebral blood flow (CBF) was monitored with laser Doppler flowmetry, and the DC potential was acquired with an intracortical glass capillary microelectrode.

2.2. Mechanistic Insight to Acidosis-Linked Neuronal Injury in Cerebral Ischemia

Excessive acidosis in the brain has long been considered to cause neuronal injury [32,49]. Furthermore, the detrimental impact of ischemic tissue acidosis on astrocyte function and survival has also been extensively studied [50]. The traditional view holds that acute acidosis in the nervous tissue leads to free radical generation, the failure of mitochondrial respiration, impaired protein synthesis, compromised cellular Ca2+ buffering, the disruption of intracellular signal transduction pathways, and the induction of DNA fragmentation [32,51,52,53,54]. In addition, tissue acidosis in cell culture has been shown to activate cytokine receptors and inflammatory pathways implicated in delayed neuronal injury subsequent to hypoxia [55].

The most recent mechanistic understanding of acidosis-linked neuronal death centers on the role of specific pH sensitive ion channels and exchangers, and culminates in intracellular Ca2+ accumulation or cytotoxic edema. As such, acid-sensing ion channel 1a (ASIC1a), a non-selective, proton-gated, amiloride-sensitive cation channel is activated by the reduction of extracellular pH [56,57] (Figure 3). Neuronal ASIC1a was shown to give way to a non-voltage-gated influx of Ca2+ in response to acidosis, which was suggested to contribute to the intracellular Ca2+ overload to initiate ischemic cell death [58,59,60]. Next, NMDA receptor signaling was found to enhance the ASIC1a-mediated Ca2+ current under ischemia, because Ca2+/calmodulin-dependent protein kinase II phosphorylated ASIC1a as a consequence of NMDA receptor activation [61]. Finally, ASIC1a was implicated in programmed necrosis via the recruitment of the cell death regulator serine/threonine kinase receptor interaction protein 1 (RIPK1) to ASIC1a in response to acidosis [62]. Importantly, ASIC1a inhibition proved to be neuroprotective in the MCAO rodent model of focal cerebral ischemia [58], providing further support to its implication in ischemic neuronal injury.

Figure 3.

Figure 3

Proposed cellular mechanisms of acidotoxicity in ischemic stroke include acidosis-related intracellular Ca2+ overload and swelling of neurons (schematic gray-shaded cell). Decreasing extracellular pH activates the acid-sensing ion channel 1a (ASIC1a) to allow direct Ca2+ influx to neurons. Low intracellular pH facilitates H+/Na+ exchange, followed by the elimination of surplus intracellular Na+ via Na+/Ca2+ exchange. The ion movements lead to the ultimate intracellular accumulation of Ca2+. Low extracellular pH also initiates Cl influx through proton-activated Cl (PAC) channels. The movement of Na+ (via NHE1) and Cl (via PAC channels) into the neurons attract water, increase the water content of cells and cause cytotoxic edema. The mechanisms appear to be relevant for the SD-related tissue acidosis.

In addition to ASIC1a, a novel proton-activated Cl (PAC) channel has recently been attributed an acidotoxic role in cerebral ischemia [63] (Figure 3). The pathogenic potential of PAC channels lies in that the influx of Cl in response to acidosis causes cell swelling, and subsequent oncotic cell death [64]. The genetic knock-out of PAC channels provided partial neuroprotection in cultured neurons exposed to acidosis, and in the MCAO focal cerebral ischemia model [63,65]. Of note, the persistent and detrimental swelling of astrocytes exposed to lactacidosis was also linked to Cl [66], in part because the volume regulating Cl- efflux through normally operational volume-sensitive Cl- channels seemed to be inhibited in the combined presence of lactate and low pH [67].

While ASIC1a and PAC channels are thus activated by extracellular acidosis, intracellular acidification, as it occurs in cerebral ischemia, stimulates the operation of the Na+/H+ exchanger isoform 1 (NHE1), which is abundant on neurons [57] (Figure 3). NHE1 function is augmented by the ischemia-related phosphorylation of the exchanger, through the extracellular signal-regulated kinase (ERK)/90-kDa ribosomal S6 kinase (p90RSK) signaling pathway [68]. As a result, Na+ enters the cells in return for H+ extrusion, which attracts water to cause cell swelling [69]. Perhaps more importantly, the intracellular accumulation of Na+ reverses the Na+/Ca2+ exchanger to expel surplus Na+, and increases concomitantly the intracellular concentration of Ca2+ [70]. This then promotes cell death cascades linked to intracellular Ca2+ accumulation [57]. As with ASIC1a, the genetic ablation or direct pharmacological inhibition of NHE1 decreased infarct volume, reduced apoptosis, or limited Zn2+ accumulation-related neurodegeneration in experimental focal or global cerebral ischemia [70,71,72].

As a conclusion of these investigations, the blockade of ASIC1a, PAC channels or NHE1 has been proposed as a therapeutic opportunity in ischemic neuroprotection, with the aim to limit acidosis-linked neuronal injury [42,58,63,73].

3. Cerebral Tissue Acidosis in Theranostics and Nanomedicine

Brain imaging (computed tomography—CT, and magnetic resonance imaging—MRI) is a first step in the diagnosis of ischemic stroke. Beyond the primary assessment of the nature (i.e., ischemic or hemorrhagic), location, and volume of the injury of cerebrovascular origin, MRI and positron emission tomography (PET) techniques have been central to identify the ischemic penumbra, prognosticate its evolution, aid personalized therapeutic decision making, and confirm the fate of the penumbra tissue after treatment [6,74]. The reliable differentiation of the ischemic penumbra from the infarction or benign oligemic regions is, therefore, critical, and establishes the need to invent and refine applicable imaging tools [5]. The most recent developments in this field suggest that tissue acidosis can be used to distinguish penumbra tissue from the ischemic core with confidence, and the inclusion of pH imaging among imaging modalities used in stroke diagnostics has been recommended to bring informed decisions on patient care [6].

Obviously, the ischemic penumbra forms the central target of stroke therapy. Although recanalization is clearly intended to reperfuse and ideally save the ischemic penumbra, the delivery of pharmacological agents selectively to the penumbra zone is problematic, and remains a field for exploration. Next to narrow therapeutic time-windows, obvious difficulties hamper drug delivery to the ischemic territory, including the vascular occlusion blocking the direct vascular route of drug delivery, and the selective permeability of the blood-brain barrier (BBB) if the BBB remains intact. Yet, the residual blood flow typical of the ischemic penumbra may be sufficient in case the efficacy of drug delivery is amplified with specific drug carrier and drug release systems that (i) can cross the intact BBB, (ii) respond to the ischemic environment, and (iii) increase the local concentration of the therapeutic agent. Intriguingly, cancer therapy has already identified low pH typical of the tumor environment to direct anticancer drug delivery selectively to a tumor to enrich the tumor tissue with anticancer agents [75,76]. An analogous approach is thought to open up new possibilities in ischemic stroke therapy [77,78], and may advance the management of ischemic stroke in the future.

3.1. Tissue Acidosis to Identify Regions at Risk of Ischemic Damage

Fluorescent pH indicators have long been employed to visualize the spatial distribution of ischemic tissue acidosis in experimental models of cerebral ischemia. The important first studies to present pH images of coronal rodent brain slices used the pH sensitive fluorophores umbelliferone or neutral red, with the limitation of providing no temporal resolution of pH variation because the brains were frozen in situ at a chosen point of time for the subsequent ex vivo visualization of the pH signal [35,79,80] (Figure 4). Later, live optical imaging of the neutral red-loaded cerebrocortical surface of anesthetized rodents allowed high spatio-temporal resolution of the fluorescent pH signal [81], to follow the evolution of ischemia-or SD-related acidosis [19,82,83] (Figure 4). Yet, inherent to the optical approach, deeper brain regions escaped visualization, and the procedure of creating a craniotomy to serve imaging is highly invasive.

Figure 4.

Figure 4

Experimental tissue pH imaging in models of cerebral ischemia and spreading depolarization. (A), Umbilliferone fluorescence pH imaging 2 h after experimental middle cerebral artery occlusion in the cat. Reprinted from Csiba et al., 1983 [80], with permission from Elsevier. (BD), Neutral red fluorescence imaging of spreading depolarization (SD) through a closed cranial window preparation over the parietal cortex of an anesthetized rat. (B), The position of the closed cranial window. (C), An intrinsic optical signal image of the exposed cortical surface at green light illumination. The schematic radial hemi-circles indicate the wave of SD. (D), Transient tissue acidosis propagating with SD, depicted by the increasing intensity of the Neutral red fluorescent signal (red) in background-subtracted, contrasted and pseudo-colored images. Time with respect to SD initiation is shown in the lower right corner of the images.

Much of the limitations of fluorescent indicator-based optical imaging appeared to be resolved with the utilization of PET using tracers for pH measurement [84,85,86], and amide proton transfer (APT) MRI, a type of chemical exchange saturation transfer imaging to visualize tissue acidosis [87,88]. Importantly, these imaging modalities focusing on acidosis have been applicable for stroke patients. Tissue pH imaging with APT-MRI have been found to define the salvageable ischemic penumbra with more confidence and better accuracy than the mismatch between perfusion- and diffusion-weighted imaging, which have been recognized to delineate the outer and inner edge of the ischemic penumbra, respectively [6,89]. Furthermore, APT-MRI was proposed as an imaging biomarker of clinical stroke symptoms and treatment efficacy [90]. Finally, pH sensitive nanoparticles used as image contrast enhancers to aid accurate distinction between diseased and normal tissue have been promising diagnostic tools under development. For example, PET imaging that used pH sensitive 64Cu-labelled polymers successfully delineated small tumors characterized by acidic pH in the mouse brain [91]. Also, Fe3O4 nanoparticles were demonstrated to be delivered to acidic ischemic brain tissue with pH responsive polymeric micelles to enhance MR images in the rat MCAO model [92]. Taken together, metabolic acidosis as it occurs in ischemic stroke emerges as a sensitive metabolic indicator to be potentially used for the identification of the penumbra tissue at risk of being recruited to the irreversibly damaged infarction, and to enable the design of personalized intervention in stroke therapy.

3.2. Tissue Acidosis to Guide Neuroprotective Intervention in Ischemic Stroke

The application of biocompatible and biodegradable, natural or synthetic macromolecular polymeric nanocarriers offers substantial promise in therapeutics [93,94,95]. Among others, stimulus responsive nanoparticles present the opportunity to initiate drug release by local (patho)physiological biochemical stimuli (e.g., homeostatic, redox, enzymatic, tissue pH) [96,97,98], which are intrinsic and restricted to the diseased tissue, and follow the progression of the disease condition. These bioresponsive nanomaterials are also known as “smart” nanosystems [29]. A negative pH shift from the neutral 7.3–7.4 to below 7.0 units, for instance, can initiate conformational or solubility changes in various smart nanosystems, including polysaccharide chitosan nanoparticles, to allow drug release [29,76,78]. In accordance, the acidic local tumor environment created by intensive or dysregulated glucose metabolism [99,100,101] has been utilized as a specific trigger for drug release in the treatment of solid cancers [76,102,103].

The achievements of cancer nanomedicine have inspired the application of nanotechnology in the therapy of ischemic stroke, especially because these diverse disease entities share some distinct pathophysiological processes [29]. Along with the disintegration of microvascular ultrastructure, intensified generation or failing clearance of reactive oxygen species, and cellular immune reactions [29], tissue acidosis occurs in tumors [99,100,101], as well as in ischemic brain tissue. Building on our experience gained in the field of metabolic tissue acidosis associated with SD in the ischemic cerebral cortex [18,71], we designed and constructed pH-responsive chitosan nanoparticles [78]. After it had been confirmed in suspension that the nanoparticles released nimodipine when pH fell below pH 7.0 [78], we tested the efficacy of drug delivery with the nanoparticles in a preclinical model of cerebral ischemia [77] (Figure 5). Our working hypothesis posited that drug carrier, pH-sensitive nanoparticles should release their cargo in response to acidic tissue pH (<pH 7.0) typical of the ischemic penumbra or SD-affected nervous tissue. We have selected nimodipine, an L-type voltage-gated Ca2+ channel antagonist as the drug to be delivered, because the cerebral vasodilator, SD limiting and ischemic neuroprotective actions of nimodipine have been widely acknowledged [104,105,106,107,108], and reproduced in our lab [109,110], to be used as a reference for the nanoparticle study. In the experiments, the typical cerebral vasodilator effect of nimodipine carried by the nanoparticles became apparent only once tissue acidosis with ischemia onset (drop of pH from about 7.29 to 6.9–7.1) or SD (tissue pH down to 6.7) had occurred. Further, nimodipine suppressed SD and augmented the related CBF response [77], as expected [110] (Figure 5). On the basis of these results, the important principle was formulated that tissue acidosis, as it occurs in cerebral ischemia and in association with SD, could be used as a trigger for drug delivery by a smart, bioresponsive nanosystem.

Figure 5.

Figure 5

Nimodipine delivered with pH-responsive chitosan nanoparticles to the cerebral cortex suppressed spreading depolarization (SD) and augmented the hyeremic element of the associated CBF response in a rat incomplete global forebrain ischemia model. Reprinted from Tóth, M. et al., 2020 [77], with permission from Elsevier.

These results are encouraging, and also raise a number of further considerations for the potential biomedical application of the principle of acidosis guided drug targeting. We washed the nanoparticle suspension directly to the exposed cortical surface in our pre-clinical model, which offers data relevant for potential intracerebroventricular, intraparenchymal or intrathecal drug delivery [27]. Yet, all these methods are significantly invasive and carry the risk of inflammation. Therefore other routes of administration that are more realistic in routine clinical care need to be tested. An obvious option appears to be intravenous infusion. For this approach, the BBB permeation of the chitosan nanospheres must be evaluated, because particles larger than 12–30 nm may not cross the BBB [111]. Further, the retention of nanoparticles in non-target tissues (e.g., cells of the reticuloendothelial system) could decrease the amount of circulating nanoparticles before their penetration to the brain [112]. Finally, potentially low tissue pH prevailing in peripheral organs or body fluids (e.g., in the respiratory system or the gastrointestinal tract) would perceivably cause off-target drug release. Although the size of the nimodipine-loaded nanoparticles in our study was small enough for BBB penetration (i.e., 4–6 nm) [78], the BBB permeability of chitosan nanoparticles may be improved by functionalizing chitosan with antibodies that recognize receptors specific to BBB endothelial cells (e.g., transferrin receptors) [113,114]. This should initiate the receptor-mediated transcytosis of the nanospheres. In addition, cerebral ischemia may derange the BBB and enhance non-selective transendothelial vesicular transport, or loosen the tight junctions between adjacent endothelial cells [115]. This may allow drug carriers to reach the nervous tissue along with the extravasation of blood plasma. Of note, SD itself is capable of increasing endothelial transcytosis and paracellular diffusion at the BBB [116,117,118], and was found to facilitate drug delivery to the brain tissue [117]. Finally, the intracarotid, rather than intravenous route of infusion of drug-loaded nanocarriers should provide direct access to the brain [119], which could substantially reduce off-target retention and drug release at the periphery.

The intranasal application of the nanoparticles may be an alternative route of drug administration. Chitosan, in fact, displays very good adhesion to the nasal mucosa due to the positively charged nanoparticle surfaces [120], and enhances absorption through the nasal mucosa by disrupting the intercellular tight junctions of the epithelium [121,122]. However, the nasal mucosa is acidic (pH 5.5–6.5). This condition counter-indicates the nasal administration of acid responsive nanoparticles targeting the brain, unless the nanoparticles are applied in a pH neutralizing buffer medium, or are supplied with a protective coating during their passage through the nasal mucosa, which the particles should shed before reaching the brain.

In summary, ischemic tissue acidosis in the brain may be utilized to direct bioresponsive nanocarriers to release their drug cargo in response to acidic tissue pH. This approach would ensure that pharmacological agents are targeted selectively to tissue at risk of injury in ischemic stroke, with minimizing off-target effects. In fact, ASIC1a, PAC channel or NHE1 blockers that counteract acidotoxicity (see under Mechanistic insight to acidosis-linked neuronal injury in cerebral ischemia) may be delivered driven by tissue acidosis itself.

4. Conclusions

In summary, a key mechanism of tissue acidosis as it occurs in focal cerebral ischemia is the accumulation of lactic acid, which is largely achieved by SD. Tissue acidosis is a sensitive metabolic indicator of injury progression in cerebral ischemia, which makes acidosis suitable for the identification of the salvageable ischemic penumbra. Further, acidosis exacerbates ischemic injury in the nervous tissue. The acidotoxic cellular Ca2+ accumulation and cytotoxic edema, which are mediated by ion channels sensitive to an acidic shift in tissue pH (e.g., ASIC1a, PAC channels, NHE1), may be limited with the use of selective ion channel blockers. These agents with neuroprotective promise are suggested here to be delivered selectively to the ischemic penumbra with pH-responsive smart nanosystems. Tissue pH-targeted drug delivery is expected to enrich sites of ongoing injury with the therapeutical agent, without the risk of unfavorable off-target side effects.

Author Contributions

All authors have contributed to the concept of the review paper, read the manuscript critically for intellectual content, revised the manuscript. All authors have read and agreed to the published version of the manuscript.

Funding

This work was supported by grants from the National Research, Development and Innovation Office of Hungary (K120358 to F.B., K134377 to E.F., PD128821 to Á.M.)); the Ministry of Human Capacities of Hungary (UNKP-19-2-SZTE-51 to D.H.); the Economic Development and Innovation Operational Programme in Hungary co-financed by the European Union and the European Regional Development Fund (No. GINOP-2.3.2-15-2016-00006 to E.F.); the EU-funded Hungarian grant No. EFOP-3.6.1-16- 2016-00008 (to E.F.).

Conflicts of Interest

The authors declare no conflict of interest.

Footnotes

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References

  • 1.Bamford J., Sandercock P., Dennis M., Burn J., Warlow C. Classification and natural history of clinical identifiable subtypes of cerebral infarction. Lancet. 1991;337:1521–1526. doi: 10.1016/0140-6736(91)93206-O. [DOI] [PubMed] [Google Scholar]
  • 2.Astrup J., Symon L., Branston N.M., Lassen N.A. Cortical evoked potential and extracellular K+ and H+ at critical levels of brain ischemia. Stroke. 1977;8:51–57. doi: 10.1161/01.STR.8.1.51. [DOI] [PubMed] [Google Scholar]
  • 3.Astrup J., Siesjö B.K., Symon L. Thresholds in cerebral ischemia—the ischemic penumbra. Stroke. 1981;12:723–725. doi: 10.1161/01.STR.12.6.723. [DOI] [PubMed] [Google Scholar]
  • 4.Lo E.H. A new penumbra: Transitioning from injury into repair after stroke. Nat. Med. 2008;14:497–500. doi: 10.1038/nm1735. [DOI] [PubMed] [Google Scholar]
  • 5.Paciaroni M., Caso V., Agnelli G. The concept of ischemic penumbra in acute stroke and therapeutic opportunities. Eur. Neurol. 2009;61:321–330. doi: 10.1159/000210544. [DOI] [PubMed] [Google Scholar]
  • 6.Leigh R., Knutsson L., Zhou J., van Zijl P.C. Imaging the physiological evolution of the ischemic penumbra in acute ischemic stroke. J. Cereb. Blood Flow Metab. 2018;38:1500–1516. doi: 10.1177/0271678X17700913. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7.Hossmann K.A. Viability thresholds and the penumbra of focal ischemia. Ann. Neurol. 1994;36:557–565. doi: 10.1002/ana.410360404. [DOI] [PubMed] [Google Scholar]
  • 8.Leao A.A.P. Spreading depression of activity in the cerebral cortex. J. Neurophys. 1944;7:359–390. doi: 10.1152/jn.1944.7.6.359. [DOI] [Google Scholar]
  • 9.Leao A.A.P. Further observations on the spreading depression of activity in the cerebral cortex. J. Neurophysiol. 1947;10:409–414. doi: 10.1152/jn.1947.10.6.409. [DOI] [PubMed] [Google Scholar]
  • 10.Hossmann K.A. Periinfarct depolarizations. Cerebrovasc. Brain Metab. Rev. 1996;8:195–208. [PubMed] [Google Scholar]
  • 11.Nedergaard M. Spreading depression as a contributor to ischemic brain damage. Adv. Neurol. 1996;71:75–83. [PubMed] [Google Scholar]
  • 12.Woitzik J., Hecht N., Pinczolits A., Sandow N., Major S., Winkler M.K., Weber-Carstens S., Dohmen C., Graf R., COSBID Study Group et al. Propagation of cortical spreading depolarization in the human cortex after malignant stroke. Neurology. 2013;80:1095–1102. doi: 10.1212/WNL.0b013e3182886932. [DOI] [PubMed] [Google Scholar]
  • 13.Pinczolits A., Zdunczyk A., Dengler N.F., Hecht N., Kowoll C.M., Dohmen C., Graf R., Winkler M.K., Major S., Hartings J.A., et al. Standard-sampling microdialysis and spreading depolarizations in patients with malignant hemispheric stroke. J. Cereb. Blood Flow Metab. 2017;37:1896–1905. doi: 10.1177/0271678X17699629. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14.Dreier J.P. The role of spreading depression, spreading depolarization and spreading ischemia in neurological disease. Nat. Med. 2011;17:439–447. doi: 10.1038/nm.2333. [DOI] [PubMed] [Google Scholar]
  • 15.Hartings J.A., Shuttleworth C.W., Kirov S.A., Ayata C., Hinzman J.M., Foreman B., Andrew R.D., Boutelle M.G., Brennan K.C., Carlson A.P., et al. The continuum of spreading depolarizations in acute cortical lesion development: Examining Leão’s legacy. J. Cereb. Blood Flow Metab. 2017;37:1571–1594. doi: 10.1177/0271678X16654495. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16.Von Bornstädt D., Houben T., Seidel J.L., Zheng Y., Dilekoz E., Qin T., Sandoz N., Kura S., Eikermann-Haerter K., Endres M., et al. Supply-demand mismatch transients in susceptible peri-infarct hot zones explain the origins of spreading injury depolarizations. Neuron. 2015;85:1117–1131. doi: 10.1016/j.neuron.2015.02.007. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17.Dreier J.P., Reiffurth C. The stroke-migraine depolarization continuum. Neuron. 2015;86:902–922. doi: 10.1016/j.neuron.2015.04.004. [DOI] [PubMed] [Google Scholar]
  • 18.Mutch W.A., Hansen A.J. Extracellular pH changes during spreading depression and cerebral ischemia: Mechanisms of brain pH regulation. J. Cereb. Blood Flow Metab. 1984;4:17–27. doi: 10.1038/jcbfm.1984.3. [DOI] [PubMed] [Google Scholar]
  • 19.Menyhárt Á., Zölei-Szénási D., Puskás T., Makra P., Orsolya M.T., Szepes B.É., Tóth R., Ivánkovits-Kiss O., Obrenovitch T.P., Bari F., et al. Spreading depolarization remarkably exacerbates ischemia-induced tissue acidosis in the young and aged rat brain. Sci. Rep. 2017;7:1154. doi: 10.1038/s41598-017-01284-4. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20.Feuerstein D., Manning A., Hashemi P., Bhatia R., Fabricius M., Tolias C., Pahl C., Ervine M., Strong A.J., Boutelle M.G. Dynamic metabolic response to multiple spreading depolarizations in patients with acute brain injury: An online microdialysis study. J. Cereb. Blood Flow Metab. 2010;30:1343–1355. doi: 10.1038/jcbfm.2010.17. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21.Busch E., Gyngell M.L., Eis M., Hoehn-Berlage M., Hossmann K.A. Potassium-induced cortical spreading depressions during focal cerebral ischemia in rats: Contribution to lesion growth assessed by diffusion-weighted NMR and biochemical imaging. J. Cereb. Blood Flow Metab. 1996;16:1090–1099. doi: 10.1097/00004647-199611000-00002. [DOI] [PubMed] [Google Scholar]
  • 22.Shuttleworth C.W., Andrew R.D., Akbari Y., Ayata C., Balu R., Brennan K.C., Boutelle M., Carlson A.P., Dreier J.P., Fabricius M., et al. Which Spreading Depolarizations Are Deleterious to Brain Tissue? Neurocrit. Care. 2020;32:317–322. doi: 10.1007/s12028-019-00776-7. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 23.Dreier J.P., Fabricius M., Ayata C., Sakowitz O.W., Shuttleworth C.W., Dohmen C., Graf R., Vajkoczy P., Helbok R., Suzuki M., et al. Recording, analysis, and interpretation of spreading depolarizations in neurointensive care: Review and recommendations of the COSBID research group. J. Cereb. Blood Flow Metab. 2017;37:1595–1625. doi: 10.1177/0271678X16654496. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 24.Klass A., Sánchez-Porras R., Santos E. Systematic review of the pharmacological agents that have been tested against spreading depolarizations. J. Cereb. Blood Flow Metab. 2018;38:1149–1179. doi: 10.1177/0271678X18771440. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 25.Xiong Y., Manwani B., Fisher M. Management of Acute Ischemic Stroke. Am. J. Med. 2019;132:286–291. doi: 10.1016/j.amjmed.2018.10.019. [DOI] [PubMed] [Google Scholar]
  • 26.Nair S.B., Dileep A., Rajanikant G.K. Nanotechnology based diagnostic and therapeutic strategies for neuroscience with special emphasis on ischemic stroke. Curr. Med. Chem. 2012;19:744–756. doi: 10.2174/092986712798992138. [DOI] [PubMed] [Google Scholar]
  • 27.Furtado D., Björnmalm M., Ayton S., Bush A.I., Kempe K., Caruso F. Overcoming the Blood-Brain Barrier: The Role of Nanomaterials in Treating Neurological Diseases. Adv. Mater. 2018;30:e1801362. doi: 10.1002/adma.201801362. [DOI] [PubMed] [Google Scholar]
  • 28.González-Nieto D., Fernández-Serra R., Pérez-Rigueiro J., Panetsos F., Martinez-Murillo R., Guinea G.V. Biomaterials to Neuroprotect the Stroke Brain: A Large Opportunity for Narrow Time Windows. Cells. 2020;9:1074. doi: 10.3390/cells9051074. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 29.Kwon E.J., Lo J.H., Bhatia S.N. Smart nanosystems: Bio-inspired technologies that interact with the host environment. Proc. Natl. Acad. Sci. USA. 2015;112:14460–14466. doi: 10.1073/pnas.1508522112. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 30.Kandell R.M., Waggoner L.E., Kwon E.J. Nanomedicine for Acute Brain Injuries: Insight from Decades of Cancer Nanomedicine. Mol. Pharm. 2020 doi: 10.1021/acs.molpharmaceut.0c00287. online ahead of print. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 31.Siesjö B.K. Pathophysiology and treatment of focal cerebral ischemia Part I: Pathophysiology. J. Neurosurg. 1992;77:169–184. doi: 10.3171/jns.1992.77.2.0169. [DOI] [PubMed] [Google Scholar]
  • 32.Rehncrona S. Brain acidosis. Ann. Emerg. Med. 1985;14:770–776. doi: 10.1016/S0196-0644(85)80055-X. [DOI] [PubMed] [Google Scholar]
  • 33.Paschen W., Djuricic B., Mies G., Schmidt-Kastner R., Linn F. Lactate and pH in the brain: Association and dissociation in different pathophysiological states. J. Neurochem. 1987;48:154–159. doi: 10.1111/j.1471-4159.1987.tb13140.x. [DOI] [PubMed] [Google Scholar]
  • 34.Katsura K., Ekholm A., Asplund B., Siesjö B.K. Extracellular pH in the brain during ischemia: Relationship to the severity of lactic acidosis. J. Cereb. Blood Flow Metab. 1991;11:597–599. doi: 10.1038/jcbfm.1991.109. [DOI] [PubMed] [Google Scholar]
  • 35.Von Hanwehr R., Smith M.L., Siesjö B.K. Extra- and intracellular pH during near-complete forebrain ischemia in the rat. J. Neurochem. 1986;46:331–339. doi: 10.1111/j.1471-4159.1986.tb12973.x. [DOI] [PubMed] [Google Scholar]
  • 36.Kraig R.P., Pulsinelli W.A., Plum F. Carbonic acid buffer changes during complete brain ischemia. Am. J. Physiol. 1986;250:R348–R357. doi: 10.1152/ajpregu.1986.250.3.R348. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 37.Plum F., Kraig R.P., Pulsinelli W.A. Compartmentation of acid-base balance in brain during complete ischemia. Neurochem. Pathol. 1988;9:139–144. doi: 10.1007/BF03160359. [DOI] [PubMed] [Google Scholar]
  • 38.Boris-Möller F., Drakenberg T., Elmdén K., Forsén S., Siesjö B.K. Evidence against major compartmentalization of H+ in ischemic rat brain tissue. Neurosci. Lett. 1988;85:113–118. doi: 10.1016/0304-3940(88)90439-9. [DOI] [PubMed] [Google Scholar]
  • 39.Walz W., Mukerji S. Lactate release from cultured astrocytes and neurons: A comparison. Glia. 1988;1:366–370. doi: 10.1002/glia.440010603. [DOI] [PubMed] [Google Scholar]
  • 40.Kobatake K., Sako K., Izawa M., Yamamoto Y.L., Hakim A.M. Autoradiographic determination of brain pH following middle cerebral artery occlusion in the rat. Stroke. 1984;15:540–547. doi: 10.1161/01.STR.15.3.540. [DOI] [PubMed] [Google Scholar]
  • 41.Back T., Hoehn M., Mies G., Busch E., Schmitz B., Kohno K., Hossmann K.A. Penumbral tissue alkalosis in focal cerebral ischemia: Relationship to energy metabolism, blood flow, and steady potential. Ann. Neurol. 2000;47:485–492. doi: 10.1002/1531-8249(200004)47:4&#x0003c;485::AID-ANA12&#x0003e;3.0.CO;2-8. [DOI] [PubMed] [Google Scholar]
  • 42.Pignataro G., Simon R.P., Xiong Z.G. Prolonged activation of ASIC1a and the time window for neuroprotection in cerebral ischaemia. Brain. 2007;130:151–158. doi: 10.1093/brain/awl325. [DOI] [PubMed] [Google Scholar]
  • 43.Behar K.L., Rothman D.L., Hossmann K.A. NMR spectroscopic investigation of the recovery of energy and acid-base homeostasis in the cat brain after prolonged ischemia. J. Cereb. Blood Flow Metab. 1989;9:655–665. doi: 10.1038/jcbfm.1989.93. [DOI] [PubMed] [Google Scholar]
  • 44.Scheller D., Kolb J., Tegtmeier F. Lactate and pH change in close correlation in the extracellular space of the rat brain during cortical spreading depression. Neurosci. Lett. 1992;135:83–86. doi: 10.1016/0304-3940(92)90141-S. [DOI] [PubMed] [Google Scholar]
  • 45.Selman W.R., Lust W.D., Pundik S., Zhou Y., Ratcheson R.A. Compromised metabolic recovery following spontaneous spreading depression in the penumbra. Brain Res. 2004;999:167–174. doi: 10.1016/j.brainres.2003.11.016. [DOI] [PubMed] [Google Scholar]
  • 46.Menyhárt Á., Zölei-Szénási D., Puskás T., Makra P., Bari F., Farkas E. Age or ischemia uncouples the blood flow response, tissue acidosis, and direct current potential signature of spreading depolarization in the rat brain. Am. J. Physiol. Heart Circ. Physiol. 2017;313:H328–H337. doi: 10.1152/ajpheart.00222.2017. [DOI] [PubMed] [Google Scholar]
  • 47.Ay H., Koroshetz W.J., Vangel M., Benner T., Melinosky C., Zhu M., Menezes N., Lopez C.J., Sorensen A.G. Conversion of ischemic brain tissue into infarction increases with age. Stroke. 2005;36:2632–2636. doi: 10.1161/01.STR.0000189991.23918.01. [DOI] [PubMed] [Google Scholar]
  • 48.Feuerstein D., Backes H., Gramer M., Takagaki M., Gabel P., Kumagai T., Graf R. Regulation of cerebral metabolism during cortical spreading depression. J. Cereb. Blood Flow Metab. 2016;36:1965–1977. doi: 10.1177/0271678X15612779. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 49.Nedergaard M., Goldman S.A., Desai S., Pulsinelli W.A. Acid-induced death in neurons and glia. J. Neurosci. 1991;11:2489–2497. doi: 10.1523/JNEUROSCI.11-08-02489.1991. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 50.Chesler M. Failure and function of intracellular pH regulation in acute hypoxic-ischemic injury of astrocytes. Glia. 2005;50:398–406. doi: 10.1002/glia.20141. [DOI] [PubMed] [Google Scholar]
  • 51.Siesjö B.K., Katsura K.I., Kristián T., Li P.A., Siesjö P. Molecular Mechanisms of Acidosis-Mediated Damage. Acta Neurochirurgica Suppl. 1996;66:8–14. doi: 10.1007/978-3-7091-9465-2_2. [DOI] [PubMed] [Google Scholar]
  • 52.Busa W.B., Nuccitelli R. Metabolic regulation via intracellular pH. Am. J. Physiol. 1984;246:R409–R438. doi: 10.1152/ajpregu.1984.246.4.R409. [DOI] [PubMed] [Google Scholar]
  • 53.Hillered L., Ernster L., Siesjö B.K. Influence of in vitro lactic acidosis and hypercapnia on respiratory activity of isolated rat brain mitochondria. J. Cereb. Blood Flow Metab. 1984;4:430–437. doi: 10.1038/jcbfm.1984.62. [DOI] [PubMed] [Google Scholar]
  • 54.Siesjö B.K., Bendek G., Koide T., Westerberg E., Wieloch T. Influence of acidosis on lipid peroxidation in brain tissues in vitro. J. Cereb. Blood Flow Metab. 1985;5:253–258. doi: 10.1038/jcbfm.1985.32. [DOI] [PubMed] [Google Scholar]
  • 55.Frøyland E., Skjaeret C., Wright M.S., Dalen M.L., Cvancarova M., Kasi C., Rootwelt T. Inflammatory receptors and pathways in human NT2-N neurons during hypoxia and reoxygenation. Impact of acidosis. Brain Res. 2008;1217:37–49. doi: 10.1016/j.brainres.2008.04.038. [DOI] [PubMed] [Google Scholar]
  • 56.Wemmie J.A., Price M.P., Welsh M.J. Acid-sensing ion channels: Advances, questions and therapeutic opportunities. Trends Neurosci. 2006;29:578–586. doi: 10.1016/j.tins.2006.06.014. [DOI] [PubMed] [Google Scholar]
  • 57.Leng T., Shi Y., Xiong Z.G., Sun D. Proton-sensitive cation channels and ion exchangers in ischemic brain injury: New therapeutic targets for stroke? Prog. Neurobiol. 2014;115:189–209. doi: 10.1016/j.pneurobio.2013.12.008. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 58.Xiong Z.G., Zhu X.M., Chu X.P., Minami M., Hey J., Wei W.L., MacDonald J.F., Wemmie J.A., Price M.P., Welsh M.J., et al. Neuroprotection in ischemia: Blocking calcium-permeable acid-sensing ion channels. Cell. 2004;118:687–698. doi: 10.1016/j.cell.2004.08.026. [DOI] [PubMed] [Google Scholar]
  • 59.Yermolaieva O., Leonard A.S., Schnizler M.K., Abboud F.M., Welsh M.J. Extracellular acidosis increases neuronal cell calcium by activating acid-sensing ion channel 1a. Proc. Natl. Acad. Sci. USA. 2004;101:6752–6757. doi: 10.1073/pnas.0308636100. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 60.Mari Y., Katnik C., Cuevas J. ASIC1a channels are activated by endogenous protons during ischemia and contribute to synergistic potentiation of intracellular Ca(2+) overload during ischemia and acidosis. Cell Calcium. 2010;48:70–82. doi: 10.1016/j.ceca.2010.07.002. [DOI] [PubMed] [Google Scholar]
  • 61.Gao J., Duan B., Wang D.G., Deng X.H., Zhang G.Y., Xu L., Xu T.L. Coupling between NMDA receptor and acid-sensing ion channel contributes to ischemic neuronal death. Neuron. 2005;48:635–646. doi: 10.1016/j.neuron.2005.10.011. [DOI] [PubMed] [Google Scholar]
  • 62.Wang Y.Z., Wang J.J., Huang Y., Liu F., Zeng W.Z., Li Y., Xiong Z.G., Zhu M.X., Xu T.L. Tissue acidosis induces neuronal necroptosis via ASIC1a channel independent of its ionic conduction. eLife. 2015;4:e05682. doi: 10.7554/eLife.05682. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 63.Yang J., Chen J., Del Carmen Vitery M., Osei-Owusu J., Chu J., Yu H., Sun S., Qiu Z. PAC, an evolutionarily conserved membrane protein, is a proton-activated chloride channel. Science. 2019;364:395–399. doi: 10.1126/science.aav9739. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 64.Wang H.Y., Shimizu T., Numata T., Okada Y. Role of acid-sensitive outwardly rectifying anion channels in acidosis-induced cell death in human epithelial cells. Pflugers Arch. 2007;454:223–233. doi: 10.1007/s00424-006-0193-z. [DOI] [PubMed] [Google Scholar]
  • 65.Osei-Owusu J., Yang J., Del Carmen Vitery M., Tian M., Qiu Z. PAC proton-activated chloride channel contributes to acid-induced cell death in primary rat cortical neurons. Channels (Austin) 2020;14:53–58. doi: 10.1080/19336950.2020.1730019. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 66.Staub F., Peters J., Kempski O., Schneider G.H., Schürer L., Baethmann A. Swelling of glial cells in lactacidosis and by glutamate: Significance of Cl(-)-transport. Brain Res. 1993;610:69–74. doi: 10.1016/0006-8993(93)91218-H. [DOI] [PubMed] [Google Scholar]
  • 67.Nabekura T., Morishima S., Cover T.L., Mori S., Kannan H., Komune S., Okada Y. Recovery from lactacidosis-induced glial cell swelling with the aid of exogenous anion channels. Glia. 2003;41:247–259. doi: 10.1002/glia.10190. [DOI] [PubMed] [Google Scholar]
  • 68.Manhas N., Shi Y., Taunton J., Sun D. p90 Activation contributes to cerebral Ischemic damage via phosphorylation of Na+/H+ exchanger isoform 1. J. Neurochem. 2010;114:1476–1486. doi: 10.1111/j.1471-4159.2010.06868.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 69.Kintner D.B., Chen X., Currie J., Chanana V., Ferrazzano P., Baba A., Matsuda T., Cohen M., Orlowski J., Chiu S.Y., et al. Excessive Na+/H+ exchange in disruption of dendritic Na+ and Ca2+ homeostasis and mitochondrial dysfunction following in vitro ischemia. J. Biol. Chem. 2010;285:35155–35168. doi: 10.1074/jbc.M110.101212. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 70.Luo J., Chen H., Kintner D.B., Shull G.E., Sun D. Decreased neuronal death in Na+/H+ exchanger isoform 1-null mice after in vitro and in vivo ischemia. J. Neurosci. 2005;25:11256–11268. doi: 10.1523/JNEUROSCI.3271-05.2005. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 71.Wang Y., Luo J., Chen X., Chen H., Cramer S.W., Sun D. Gene inactivation of Na+/H+ exchanger isoform 1 attenuates apoptosis and mitochondrial damage following transient focal cerebral ischemia. Eur. J. Neurosci. 2008;28:51–61. doi: 10.1111/j.1460-9568.2008.06304.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 72.Kang B.S., Choi B.Y., Kho A.R., Lee S.H., Hong D.K., Jeong J.H., Kang D.H., Park M.K., Suh S.W. An Inhibitor of the Sodium-Hydrogen Exchanger-1 (NHE-1), Amiloride, Reduced Zinc Accumulation and Hippocampal Neuronal Death after Ischemia. Int. J. Mol. Sci. 2020;21:4232. doi: 10.3390/ijms21124232. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 73.Wemmie J.A., Taugher R.J., Kreple C.J. Acid-sensing ion channels in pain and disease. Nat. Rev. Neurosci. 2013;14:461–471. doi: 10.1038/nrn3529. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 74.Thirugnanachandran T., Ma H., Singhal S., Slater L.A., Davis S.M., Donnan G.A., Phan T. Refining the ischemic penumbra with topography. Int. J. Stroke. 2018;13:277–284. doi: 10.1177/1747493017743056. [DOI] [PubMed] [Google Scholar]
  • 75.Oishi M., Nagasaki Y. Stimuli-responsive smart nanogels for cancer diagnostics and therapy. Nanomedicine (Lond.) 2010;5:451–468. doi: 10.2217/nnm.10.18. [DOI] [PubMed] [Google Scholar]
  • 76.Liu J., Huang Y., Kumar A., Tan A., Jin S., Mozhi A., Liang X.J. pH-sensitive nano-systems for drug delivery in cancer therapy. Biotechnol. Adv. 2014;32:693–710. doi: 10.1016/j.biotechadv.2013.11.009. [DOI] [PubMed] [Google Scholar]
  • 77.Tóth M.O., Menyhárt Á., Varga V.É., Hantosi D., Ivánkovits-Kiss O., Varga D.P., Szabó Í., Janovák L., Dékány I., Farkas E. Chitosan nanoparticles release nimodipine in response to tissue acidosis to attenuate spreading depolarization evoked during forebrain ischemia. Neuropharmacology. 2020;162:107850. doi: 10.1016/j.neuropharm.2019.107850. [DOI] [PubMed] [Google Scholar]
  • 78.Janovák L., Turcsányi Á., Bozó É., Deák Á., Mérai L., Sebők D., Juhász Á., Csapó E., Abdelghafour M.M., Farkas E., et al. Preparation of novel tissue acidosis-responsive chitosan drug nanoparticles: Characterization and in vitro release properties of Ca2+ channel blocker nimodipine drug molecules. Eur. J. Pharm. Sci. 2018;123:79–88. doi: 10.1016/j.ejps.2018.07.031. [DOI] [PubMed] [Google Scholar]
  • 79.Kogure K., Alonso O.F., Martinez E. A topographic measurement of brain pH. Brain Res. 1980;195:95–109. doi: 10.1016/0006-8993(80)90869-0. [DOI] [PubMed] [Google Scholar]
  • 80.Csiba L., Paschen W., Hossmann K.A. A topographic quantitative method for measuring brain tissue pH under physiological and pathophysiological conditions. Brain Res. 1983;289:334–337. doi: 10.1016/0006-8993(83)90037-9. [DOI] [PubMed] [Google Scholar]
  • 81.Chen G., Hanson C.L., Ebner T.J. Optical responses evoked by cerebellar surface stimulation in vivo using neutral red. Neuroscience. 1998;84:645–668. doi: 10.1016/S0306-4522(97)00441-7. [DOI] [PubMed] [Google Scholar]
  • 82.Sun X., Wang Y., Chen S., Luo W., Li P., Luo Q. Simultaneous monitoring of intracellular pH changes and hemodynamic response during cortical spreading depression by fluorescence-corrected multimodal optical imaging. Neuroimage. 2011;57:873–884. doi: 10.1016/j.neuroimage.2011.05.040. [DOI] [PubMed] [Google Scholar]
  • 83.Bo B., Li Y., Li W., Wang Y., Tong S. Optogenetic translocation of protons out of penumbral neurons is protective in a rodent model of focal cerebral ischemia. Brain Stimul. 2020;13:881–890. doi: 10.1016/j.brs.2020.03.008. [DOI] [PubMed] [Google Scholar]
  • 84.Rottenberg D.A., Ginos J.Z., Kearfott K.J., Junck L., Bigner D.D. In vivo measurement of regional brain tissue pH using positron emission tomography. Ann. Neurol. 1984;15:S98–S102. doi: 10.1002/ana.410150718. [DOI] [PubMed] [Google Scholar]
  • 85.Senda M., Alpert N.M., Mackay B.C., Buxton R.B., Correia J.A., Weise S.B., Ackerman R.H., Dorer D., Buonanno F.S. Evaluation of the 11CO2 positron emission tomographic method for measuring brain pH. II. Quantitative pH mapping in patients with ischemic cerebrovascular diseases. J. Cereb. Blood Flow Metab. 1989;9:859–873. doi: 10.1038/jcbfm.1989.120. [DOI] [PubMed] [Google Scholar]
  • 86.Henry K.E., Chaney A.M., Nagle V.L., Cropper H.C., Mozaffari S., Slaybaugh G., Parang K., Andreev O., Reshetnyak Y.K., James M.L., et al. Demarcation of Sepsis-Induced Peripheral and Central Acidosis with pH-Low Insertion Cyclic (pHLIC) Peptide. J. Nucl. Med. 2020;61:1361–1368. doi: 10.2967/jnumed.119.233072. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 87.Zhou J., van Zijl P.C.M. Defining an Acidosis-Based Ischemic Penumbra from pH-Weighted MRI. Transl. Stroke Res. 2011;3:76–83. doi: 10.1007/s12975-011-0110-4. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 88.Zhou J., Payen J.F., Wilson D.A., Traystman R.J., van Zijl P.C.M. Using the amide proton signals of intracellular proteins and peptides to detect pH effects in MRI. Nat. Med. 2003;9:1085–1090. doi: 10.1038/nm907. [DOI] [PubMed] [Google Scholar]
  • 89.Harston G.W., Tee Y.K., Blockley N., Okell T.W., Thandeswaran S., Shaya G., Sheerin F., Cellerini M., Payne S., Jezzard P., et al. Identifying the ischaemic penumbra using pH-weighted magnetic resonance imaging. Brain. 2015;138:36–42. doi: 10.1093/brain/awu374. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 90.Yu L., Chen Y., Chen M., Luo X., Jiang S., Zhang Y., Chen H., Gong T., Zhou J., Li C. Amide Proton Transfer MRI Signal as a Surrogate Biomarker of Ischemic Stroke Recovery in Patients With Supportive Treatment. Front. Neurol. 2019;10:104. doi: 10.3389/fneur.2019.00104. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 91.Huang G., Zhao T., Wang C., Nham K., Xiong Y., Gao X., Wang Y., Hao G., Ge X.P., Sun X., et al. PET imaging of occult tumours by temporal integration of tumour-acidosis signals from pH-sensitive 64Cu-labelled polymers. Nat. Biomed. Eng. 2020;4:314–324. doi: 10.1038/s41551-019-0416-1. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 92.Gao G.H., Lee J.W., Nguyen M.K., Im G.H., Yang J., Heo H., Jeon P., Park T.G., Lee J.H., Lee D.S. pH-responsive polymeric micelle based on PEG-poly(β-amino ester)/(amido amine) as intelligent vehicle for magnetic resonance imaging in detection of cerebral ischemic area. J. Control Release. 2011;155:11–17. doi: 10.1016/j.jconrel.2010.09.012. [DOI] [PubMed] [Google Scholar]
  • 93.Amani H., Habibey R., Hajmiresmail S.J., Latifi S., Pazoki-Toroudi H., Akhavan O. Antioxidant nanomaterials in advanced diagnoses and treatments of ischemia reperfusion injuries. J. Mater Chem. B. 2017;5:9452–9476. doi: 10.1039/C7TB01689A. [DOI] [PubMed] [Google Scholar]
  • 94.Chen L., Gao X. The application of nanoparticles for neuroprotection in acute ischemic stroke. Ther. Deliv. 2017;8:915–928. doi: 10.4155/tde-2017-0023. [DOI] [PubMed] [Google Scholar]
  • 95.Kaviarasi S., Yuba E., Harada A., Krishnan U.M. Emerging paradigms in nanotechnology for imaging and treatment of cerebral ischemia. J. Control Release. 2019;300:22–45. doi: 10.1016/j.jconrel.2019.02.031. [DOI] [PubMed] [Google Scholar]
  • 96.Luo Z., Cai K., Hu Y., Zhao L., Liu P., Duan L., Yang W. Mesoporous silica nanoparticles end-capped with collagen: Redox-responsive nanoreservoirs for targeted drug delivery. Angew. Chem. Int. Ed. Engl. 2011;50:640–643. doi: 10.1002/anie.201005061. [DOI] [PubMed] [Google Scholar]
  • 97.Felber A.E., Dufresne M.H., Leroux J.C. pH-sensitive vesicles, polymeric micelles, and nanospheres prepared with polycarboxylates. Adv. Drug Deliv. Rev. 2012;64:979–992. doi: 10.1016/j.addr.2011.09.006. [DOI] [PubMed] [Google Scholar]
  • 98.Zhai J., Zhao M., Cao X., Li M., Zhao M. Metal-Ion-Responsive Bionanocomposite for Selective and Reversible Enzyme Inhibition. J. Am. Chem. Soc. 2018;140:16925–16928. doi: 10.1021/jacs.8b10848. [DOI] [PubMed] [Google Scholar]
  • 99.Thistlethwaite A.J., Leeper D.B., Moylan D.J., 3rd, Nerlinger R.E. pH distribution in human tumors. Int. J. Radiat. Oncol. Biol. Phys. 1985;11:1647–1652. doi: 10.1016/0360-3016(85)90217-2. [DOI] [PubMed] [Google Scholar]
  • 100.Martin G.R., Jain R.K. Noninvasive measurement of interstitial pH profiles in normal and neoplastic tissue using fluorescence ratio imaging microscopy. Cancer Res. 1994;54:5670–5674. [PubMed] [Google Scholar]
  • 101.Engin K., Leeper D.B., Cater J.R., Thistlethwaite A.J., Tupchong L., McFarlane J.D. Extracellular pH distribution in human tumours. Int. J. Hyperthermia. 1995;11:211–216. doi: 10.3109/02656739509022457. [DOI] [PubMed] [Google Scholar]
  • 102.Shenoy D., Little S., Langer R., Amiji M. Poly(ethylene oxide)-modified poly(beta-amino ester) nanoparticles as a pH-sensitive system for tumor-targeted delivery of hydrophobic drugs: Part 2. In vivo distribution and tumor localization studies. Pharm. Res. 2005;22:2107–2114. doi: 10.1007/s11095-005-8343-0. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 103.Poon Z., Chang D., Zhao X., Hammond P.T. Layer-by-layer nanoparticles with a pH-sheddable layer for in vivo targeting of tumor hypoxia. ACS Nano. 2011;5:4284–4292. doi: 10.1021/nn200876f. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 104.Allen G.S., Ahn H.S., Preziosi T.J., Battye R., Boone S.C., Chou S.N., Kelly D.L., Weir B.K., Crabbe R.A., Lavik P.J., et al. Cerebral arterial spasm--a controlled trial of nimodipine in patients with subarachnoid hemorrhage. N. Engl. J. Med. 1983;308:619–624. doi: 10.1056/NEJM198303173081103. [DOI] [PubMed] [Google Scholar]
  • 105.Freedman D.D., Waters D.D. ‘Second generation’ dihydropyridine calcium antagonists. Greater vascular selectivity and some unique applications. Drugs. 1987;34:578–598. doi: 10.2165/00003495-198734050-00005. [DOI] [PubMed] [Google Scholar]
  • 106.Scriabine A., Schuurman T., Traber J. Pharmacological basis for the use of nimodipine in central nervous system disorders. FASEB J. 1989;3:1799–1806. doi: 10.1096/fasebj.3.7.2565839. [DOI] [PubMed] [Google Scholar]
  • 107.Martínez-Vila E., Guillén F., Villanueva J.A., Matías-Guiu J., Bigorra J., Gil P., Carbonell A., Martínez-Lage J.M. Placebo-controlled trial of nimodipine in the treatment of acute ischemic cerebral infarction. Stroke. 1990;21:1023–1028. doi: 10.1161/01.STR.21.7.1023. [DOI] [PubMed] [Google Scholar]
  • 108.Dreier J.P., Windmüller O., Petzold G., Lindauer U., Einhäupl K.M., Dirnagl U. Ischemia triggered by red blood cell products in the subarachnoid space is inhibited by nimodipine administration or moderate volume expansion/hemodilution in rats. Neurosurgery. 2002;51:1457–1465. doi: 10.1097/00006123-200212000-00017. [DOI] [PubMed] [Google Scholar]
  • 109.Menyhárt Á., Farkas A.E., Varga D.P., Frank R., Tóth R., Bálint A.R., Makra P., Dreier J.P., Bari F., Krizbai I.A., et al. Large-conductance Ca2+-activated potassium channels are potently involved in the inverse neurovascular response to spreading depolarization. Neurobiol. Dis. 2018;119:41–52. doi: 10.1016/j.nbd.2018.07.026. [DOI] [PubMed] [Google Scholar]
  • 110.Szabó Í., Tóth M.O., Török Z., Varga D.P., Menyhárt Á., Frank R., Hantosi D., Hunya Á., Bari F., Horváth I., et al. The impact of dihydropyridine derivatives on the cerebral blood flow response to somatosensory stimulation and spreading depolarization. Br. J. Pharmacol. 2019;176:1222–1234. doi: 10.1111/bph.14611. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 111.Sarvaiya J., Agrawal Y.K. Chitosan as a suitable nanocarrier material for anti-Alzheimer drug delivery. Int. J. Biol. Macromol. 2015;72:454–465. doi: 10.1016/j.ijbiomac.2014.08.052. [DOI] [PubMed] [Google Scholar]
  • 112.Wilson B., Samanta M.K., Santhi K., Kumar K.P.S., Ramasamy M., Suresh B. Chitosan nanoparticles as a new delivery system for the anti-Alzheimer drug tacrine. Nanomedicine. 2010;6:144–152. doi: 10.1016/j.nano.2009.04.001. [DOI] [PubMed] [Google Scholar]
  • 113.Aktaş Y., Yemisci M., Andrieux K., Gürsoy R.N., Alonso M.J., Fernandez-Megia E., Novoa-Carballal R., Quiñoá E., Riguera R., Sargon M.F., et al. Development and brain delivery of chitosan-PEG nanoparticles functionalized with the monoclonal antibody OX26. Bioconjug Chem. 2005;16:1503–1511. doi: 10.1021/bc050217o. [DOI] [PubMed] [Google Scholar]
  • 114.Yemişci M., Gürsoy-Özdemir Y., Caban S., Bodur E., Capan Y., Dalkara T. Transport of a caspase inhibitor across the blood-brain barrier by chitosan nanoparticles. Methods Enzymol. 2012;508:253–269. doi: 10.1016/B978-0-12-391860-4.00013-6. [DOI] [PubMed] [Google Scholar]
  • 115.Jiang X., Andjelkovic A.V., Zhu L., Yang T., Bennett M.V.L., Chen J., Keep R.F., Shi Y. Blood-brain barrier dysfunction and recovery after ischemic stroke. Prog. Neurobiol. 2018;163–164:144–171. doi: 10.1016/j.pneurobio.2017.10.001. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 116.Gursoy-Ozdemir Y., Qiu J., Matsuoka N., Bolay H., Bermpohl D., Jin H., Wang X., Rosenberg G.A., Lo E.H., Moskowitz M.A. Cortical spreading depression activates and upregulates MMP-9. J. Clin. Invest. 2004;113:1447–1455. doi: 10.1172/JCI200421227. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 117.Cottier K.E., Galloway E.A., Calabrese E.C., Tome M.E., Liktor-Busa E., Kim J., Davis T.P., Vanderah T.W., Largent-Milnes T.M. Loss of Blood-Brain Barrier Integrity in a KCl-Induced Model of Episodic Headache Enhances CNS Drug Delivery. eNeuro. 2018;5 doi: 10.1523/ENEURO.0116-18.2018. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 118.Sadeghian H., Lacoste B., Qin T., Toussay X., Rosa R., Oka F., Chung D.Y., Takizawa T., Gu C., Ayata C. Spreading depolarizations trigger caveolin-1-dependent endothelial transcytosis. Ann. Neurol. 2018;84:409–423. doi: 10.1002/ana.25298. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 119.Joshi S., Meyers P.M., Ornstein E. Intracarotid delivery of drugs: The potential and the pitfalls. Anesthesiology. 2008;109:543–564. doi: 10.1097/ALN.0b013e318182c81b. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 120.Yu S., Xu X., Feng J., Liu M., Hu K. Chitosan and chitosan coating nanoparticles for the treatment of brain disease. Int. J. Pharm. 2019;560:282–293. doi: 10.1016/j.ijpharm.2019.02.012. [DOI] [PubMed] [Google Scholar]
  • 121.Dodane V., Khan M.A., Merwin J.R. Effect of chitosan on epithelial permeability and structure. Int. J. Pharm. 1999;182:21–32. doi: 10.1016/S0378-5173(99)00030-7. [DOI] [PubMed] [Google Scholar]
  • 122.Smith J., Wood E., Dornish M. Effect of chitosan on epithelial cell tight junctions. Pharm. Res. 2004;21:43–49. doi: 10.1023/B:PHAM.0000012150.60180.e3. [DOI] [PubMed] [Google Scholar]

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