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Brief Report

Protofibrillar Amyloid Beta Modulation of Recombinant hCaV2.2 (N-Type) Voltage-Gated Channels

School of Pharmacy, University of Reading, Reading RG6 6UB, UK
*
Author to whom correspondence should be addressed.
Pharmaceuticals 2022, 15(12), 1459; https://doi.org/10.3390/ph15121459
Submission received: 4 October 2022 / Revised: 16 November 2022 / Accepted: 17 November 2022 / Published: 24 November 2022
(This article belongs to the Section Pharmacology)

Abstract

:
Cav2.2 channels are key regulators of presynaptic Ca2+ influx and their dysfunction and/or aberrant regulation has been implicated in many disease states; however, the nature of their involvement in Alzheimer’s disease (AD) is less clear. In this short communication, we show that recombinant hCav2.2/b1b/a2d1 channels are modulated by human synthetic AD-related protofibrillar amyloid beta Ab1-42 peptides. Structural studies revealed a time-dependent increase in protofibril length, with the majority of protofibrils less than 100 nm at 24 h, while at 48 h, the majority were longer than 100 nm. Cav2.2 modulation by Ab1-42 was different between a ‘low’ (100 nM) and ‘high’ (1 µM) concentration in terms of distinct effects on individual biophysical parameters. A concentration of 100 nM Ab1-42 caused no significant changes in the measured biophysical properties of Cav2.2 currents. In contrast, 1 µM Ab1-42 caused an inhibitory decrease in the current density (pA/pF) and maximum conductance (Gmax), and a depolarizing shift in the slope factor (k). These data highlight a differential modulation of Cav2.2 channels by the Ab1-42 peptide. Discrete changes in the presynaptic Ca2+ flux have been reported to occur at an early stage of AD; therefore, this study reveals a potential mechanistic link between amyloid accumulation and Cav2.2 channel modulation.

1. Introduction

The amyloid beta (Ab) peptide has been implicated in the pathogenesis of AD, with the proposal that lowering Ab levels is beneficial to brain health [1,2]. While the evidence supporting the involvement of Ab in the disease state is robust, there is a growing interest in the ‘normal’ physiological role that Ab plays [3]. Most notably, the removal of endogenous Ab using genetic and immunological methodology has a wide range of adverse effects (see [4]). More targeted approaches have revealed that Ab contributes to physiology through its antimicrobial activity, tumour suppression, neuroprotection and regulation of synaptic plasticity [5]. These functions require the interaction of Ab with a wide array of molecular targets. One superfamily of molecular targets are ion channels, which underpin a compendium of biological processes. While the Ab-mediated dysfunction of ion channels has been implicated in disease progression, there is also evidence to support the modulation of ion channel function in maintaining a healthy CNS [6,7]. Overall, Ab is likely to play a unique role in modulating brain ionic homeostasis via the regulation of ion channel activity.
Voltage-gated calcium channels (VGCCs) are pivotal molecular entities in regulating neuronal Ca2+ homeostasis [8]. This has led to several studies investigating the role of Ab in influencing the activity of VGCCs [9,10,11,12,13]. Preclinical studies have predominantly focused on the dihydropyridine-sensitive L-type VGCCs [12,14,15,16], demonstrating increases in Ca2+ influx through L-type channels mediated by a range of Ab assemblies. In turn, clinical studies have looked to exploit existing antihypertensive calcium channel blockers as novel AD therapeutics; however, these data are conflicting. Studies looking at patients with a history of taking antihypertensives and subsequently developing dementia provide a mixed picture [17,18,19]. Moreover, a more targeted intervention using nilvadipine, which inhibits both L-type VGCCs and spleen tyrosine kinase activity, failed to demonstrate efficacy in the management of existing dementia in terms of modulating measures of cognition [20]. CaV2.2 (N-type) VGCCs have been somewhat overlooked for their potential contribution to amyloid pathology. CaV2.2 VGCCs are presynaptic, ω-conotoxin-sensitive and G-protein-modulated channels that are known targets for pain therapeutics [21]. The link between dementia and pain is also well established (see [22]); recent research has demonstrated a temporal profile and indicates that pain could be classified as a prodromal symptom for dementia [23]. Therefore, further investigation of the Ab modulation of N-type channels is merited. This study demonstrates that the recombinant human CaV2.2/b1b/a2d channel complex is a target for human synthetic protofibrillar Ab1-42 and that there is a concentration relationship for the effects on discrete biophysical properties. These findings have implications for the management of Ca2+ influx in AD in particular, given the presynaptic localisation of CaV2.2 subunits [24,25].

2. Results

2.1. Protofibrillar Assembly of Amyloid

To verify the Aβ1-42 form used in our functional experiments, an analysis of peptide aggregation was undertaken. The transmission electron microscope images revealed that at 0 h, the peptide was largely non-aggregated and was observed as Aβ1-42 globules. At this time point, no fibril structures were evident (Figure 1a). After 24 h of incubation, the formation of small protofibrils (defined as <100 nm in length) could be detected (Figure 1b) and by 48 h, aggregation into longer protofibrils was observed (Figure 1c). In comparison, no protofibril structures were observed when using the reverse sequence peptide, Aβ1-42 (Figure 1d). A fibril length analysis revealed a time dependency of the formation of Aβ1-42 protofibrils, with a 41.4 ± 7.1% (n = 25) increase in protofibril length from a 24 to 48 h incubation. After 24 h of incubation, the majority (68.0%) of the amyloid structures analysed were protofibrils of less than 100 nm in length (average length of 93.2 ± 3.9 nm; n = 25). By contrast, at 48 h the majority (89.3%) of the protofibrils were greater than 100 nm in length (average length of 131.8 ± 5.8 nm; n = 28) (Figure 1e).

2.2. Protofibrillar Amyloid Beta Modulation of CaV2.2 Currents

The effects of protofibrillar Aβ1-42 on Cav2.2 currents was investigated via population experiments using HEK293 cells expressing the CaV2.2/β1b2δ1 complex, where cells were exposed to either synthetic Aβ1-42 or PBS vehicle control for 24 h prior to recordings. A multi-step voltage protocol was applied to CaV2.2 stably transfected HEK293 cells to elicit the current density/voltage relationships for the experimental groupings. The 100 nM protofibrillar Aβ1-42 showed no significant inhibition of the Cav2.2 current density compared to the vehicle control (control: −46.4 ± 15.1 pA/pF vs. amyloid treated: −31.7 ± 7.8 pA/pF, p = 0.36, n = 8–11; Figure 2 and Figure 3a,b).
In addition, HEK293 cells expressing the CaV2.2/β1b2δ1 complex treated with 100 nM protofibrillar Aβ1-42 for 24 h had no effect on the measured biophysical characteristics (Figure 3c–f).
The effects of a higher concentration of protofibrillar Aβ1-42 on CaV2.2 were investigated (Figure 4 and Figure 5). A concentration of 1 µM protofibrillar Aβ1-42 (24 h) caused a significant reduction in the current density (vehicle control: −47.1 ± 12.5 pA/pF vs. amyloid treated: −17.7 ± 5.4 pA/pF, p = 0.017, n = 8–11; Figure 4 and Figure 5a,b). Correspondingly, a significant reduction in Gmax was also observed (control: 1.3 ± 0.2 nS/pF vs. amyloid treated: 0.6 ± 0.1 nS/pF, p = 0., n = 8–11; Figure 4 and Figure 5f). The slope factor (k) was also altered after exposure to 1 µM protofibrillar Aβ1-42 (vehicle control: −4.5 ± 0.4 vs. amyloid treated: −7.3 ± 0.7, p = 0.003, n = 8–11; Figure 5e). The other biophysical properties examined (V0.5 and reversal potential) remained unaffected (Figure 5c–d).

3. Discussion

This short communication identifies protofibrillar Aβ, formed using 1% ammonium hydroxide [26], as an important modulator of recombinant CaV2.2, β1b and α2δ subunits containing VGCC complexes. The use and verification of protofibrillar Aβ is vital in elucidating the functional effects of disease-relevant Aβ species. It is evident that a lack of complete biophysical characterisation of Cav2.2 channels with potentially different subunit compositions may lead to a diverse array of modulatory affects and some apparently contradictory reports in the literature (see [9,11]). CaV2.2 channels carrying N-type currents are predominantly involved at presynaptic loci [25]. For example, in the hippocampus, evidence supports a role for CaV2.2 in inhibitory interneuron neurotransmission [27] and the development of pyramidal neuron synapses [28]. The non-neuronal expression of Cav2.2 has been reported [29,30]; however, there is a lack of functional data to indicate a role for a fully conducting channel. This has led to VGCCs being investigated as molecular targets for a range of neurological diseases, including AD. Aβ has been linked to the modulation of a host of VGCCs and is reported to affect channel function across different physiological levels (e.g., transcription vs. translation). At the expression level, the Aβ25-35 fragment has been reported to up-regulate Cav1.2, Cav2.1 and Cav2.2 mRNA and proteins in a time-dependent manner [31]. This is seen as central to facilitating neurotoxicity through an increased Ca2+ influx associated with elevated levels of Aβ. Another potential mechanism by which Aβ modulates VGCCs is through subunit/protein–protein interactions. Here, evidence supports the Aβ25-35 modulation of CaV1.2 at the mRNA, protein and functional levels [32]; in addition, a role of the β3 subunit was proposed to mediate changes in the functional activity of both Cav1.2- and Cav1.3-containing channels. Aβ has also been reported to modulate VGCC function through the modulation of biophysical properties in other studies. An Aβ-mediated reduction in Ca2+ influx was reported to occur via a reduction in P/Q-type current amplitude and conductance, with the slope factor and V50 remaining unaltered [11]. By contrast, Mezler et al. (2012) showed that the treatment of Xenopus laevis oocytes with oligomeric synthetic Aβ1-42 peptides increased the amplitude and caused a hyperpolarized shift in the activation of recombinant Cav2.1 channels [9]. Hermann and colleagues also reported that Aβ1-42 globulomers not only modulated Cav2.1 kinetics, but also increased the activity of Cav2.2 channels via an increase in amplitude and a shift of V50 towards more hyperpolarized values [10]. Such differences may be attributed to different forms/aggregation states and/or concentrations of Aβ used. Here, we have looked at a distinct disease-relevant species of Aβ (protofibrillar) and revealed its effects on specific Cav2.2 kinetic parameters based on the concentration of the Aβ assembly. Lower concentrations (100 nM) showed no modulation of Cav2.2 currents, while higher concentrations (1 µM) caused significant changes in the Cav2.2 biophysical fingerprint. Here, reductions in current density and maximal conductance were reported alongside a change in the slope factor (k). Thus, Ab had inhibitory effects on Ca2+ currents. The slope factor k represents the change in membrane potential required to cause an e-fold change in the activation of open channels. A reported 5 mV hyperpolarising shift would lead to a decrease in the voltage sensitivity of the channel, such that larger changes in voltage were required to cause a similar level of channel activation. This change in the voltage sensitivity of the Cav2.2 channel could be the result of post-translational modulation, which has been reported for other Cav channels in neurodegenerative disorders [33].
While protofibrillar Ab is often associated with neuronal toxicity [34], our data indicate an inhibitory modulation of Cav2.2, which may relate to pain symptoms that manifest in AD rather than overt toxicity. Pain has previously been linked to AD, but common signalling pathways have not robustly been identified. For example, chronic pain has been reported to accelerate AD pathology and initiate cognitive decline earlier in transgenic mice [35]; this rapid onset was suggested to be due to changes in NMDA receptor subunit functionality within the hippocampus. In human studies, there is mixed evidence as to the role of chronic pain and the subsequent development of dementia. Those patients reporting higher pain scores were observed to have a higher probability of developing dementia, while others have indicated no relationship between the intensity of pain and a dementia diagnosis [36,37,38]. One established mechanism for nociception signalling is through presynaptic CaV2.2 channels, which has led to the approval of ω-conotoxin MVIIA as the peptide drug, ziconotide, for chronic severe pain [39]. Therefore, further research is merited to better understand the role of Cav2.2 channels in AD pathology and pain. This should include consideration of neuronal and non-neuronal cells, with evidence indicating that genetic manipulation of Cav2.2 within the microglia can impact pain signalling [30]. A breakdown of Ca2+ homeostatic mechanisms is implicated in Aβ-induced neurodegeneration [40], and there is evidence linking disruption in Ca2+ signalling with the development of different pain states [41,42]. Therefore, understanding the individual molecular targets and their temporal involvement in pathology will aid drug discovery and support the use of available pharmacological tools in managing individuals. This will improve strategies for modulating VGCC function, which may be beneficial during the early synaptic dysfunctional stages of AD progression [43].

4. Materials and Methods

4.1. Cell Culture

Stably transfected HEK293 cells expressing human CaV2.2 calcium channels (α1B (Cav2.2), β1b and α2δ1 subunits) [44] were cultured in minimum essential medium (MEM; Life Technologies, Loughborough, UK) supplemented with 2 mM L-glutamine (Life Technologies, Loughborough, UK), 0.5 mg/mL geneticin (G418; Sigma Aldrich, Gillingham, UK), 10% FBS (Life Technologies, Loughborough, UK) and 1% penicillin/streptomycin (Life Technologies, Loughborough, UK).

4.2. Aβ Assembly and Characterisation

Human synthetic Aβ1-42 peptides (Abcam, Cambridge, UK: Aβ1-42 #ab120301) or Aβ42-1 peptides (Abcam, Cambridge, UK: Aβ42-1 # ab120481) were dissolved in 1% ammonium hydroxide (NH4OH; Sigma Aldrich, Gillingham, UK) in PBS, taking into consideration the peptide content, to obtain a 1 mg peptide film as previously described [26]. Following this, Aβ was left at room temperature for 30 min and then placed in a speed-vac until a peptide film was obtained (~20 min). The peptide film was then dissolved into a 5 mM Aβ stock solution using 10 mM sodium hydroxide in dH2O (NaOH; Sigma Aldrich, Gillingham, UK). Aβ was sonicated for 10 min to prime the peptide for aggregation. Both the peptide film and the 5 mM Aβ stock were stored at −20 °C until use.
Prior to experimental use, the 5 mM stock was sonicated for a further 10 min and then further diluted into a 100 μM usable stock over a 48 h incubation period using a two-step protocol. Firstly, the 5 mM stock was diluted into 400 μM using PBS and 2% sodium dodecyl sulphate (SDS; Invitrogen, Loughborough, UK), and then incubated over 24 h. Next, 400 μM Aβ was diluted into 100 μM usable stock using PBS and incubated for another 24 h. For experimental purposes, 100 μM Aβ1-42 or Aβ42-1 was further diluted in media to achieve various working concentrations that the cells were then exposed to or that were processed for transmission electron microscopy.

4.3. Transmission Electron Microscopy

The aggregation processes of the Aβ1-42 preparations were investigated using transmission electron microscopy (TEM; Jeol 2100 Plus, 200 kV). Firstly, the Aβ preparations (30 µL) were loaded onto 300-mesh-sized carbon grids (HC300Cu films, EM Resolutions, Sheffield, UK). The grids were then stained with 1–2% w/w uranyl acetate (Agar, Stansted, UK) in dH2O (~1 min) for visualisation purposes. The grids were then washed with dH2O to remove excess stain (for ~1 min) and then left to dry (~5 min) prior to use. The image analysis, via measuring protofibril length, was achieved using Image J.

4.4. Electrophysiology

Glass electrodes were filled with an intracellular solution composed of: 120 mM CsCl; 20 mM TEA; 10 mM EGTA; 2 mM MgCl2; 10 mM HEPES; and 2 mM ATP (pH of 7.2 using CsOH). The extracellular solution was 95 mM NaCl (ThermoFisher Scientific, Loughborough, UK); 10 mM BaCl2; 2 mM MgCl2; 10 mM HEPES; 10 mM glucose; and 5 mM TEA (pH of 7.4 using NaOH). To study the VGCC currents, a multi-step protocol was applied from a holding potential of −70 mV, in 10 mV increments from −70 to +50 mV (for 200 ms). Data from multi-step recordings were used to plot the current density/voltage relationships. A single-step protocol to +10 mV from a holding potential of −70 mV was also applied. The extracellular solution was applied via a continuous tube-perfusion system. Prior to investigating the VGCC currents, cells were treated for 24 h with Aβ1-42 or the vehicle control (PBS).
All electrophysiology experiments were carried out at room temperature (~21 °C). Whole-cell patch clamp recordings were acquired at 10 kHz and low-pass-filtered at 2 kHz using an Axopatch 200B (Axon Instruments) and Digidata 1440A (Axon Instruments) using Clampex10.3 software. Electrophysiology recordings were analysed using Clampfit10.3.

4.5. Statistical Analysis

Statistical analyses and the plotting of graphs were performed using GraphPad Prism 7.0. For statistical analyses, all data were firstly tested for normality (Shapiro–Wilk) and then examined for outliers (Grubb’s), which were excluded from the analysis. Data were plotted as an average ± SEM with the number of biological replicates (n) as stated. Values of p > 0.05 were considered significant.
For the Aβ protofibril length analysis, one-way ANOVA followed by Tukey’s post hoc test was used.
For electrophysiology experiments, the current density/V relationships were first fitted with a modified Boltzmann fit equation (Y = (Gmaxx(X − Vrev))/(1 + exp((−(X − V50)/k)) [45], where Gmax = maximum conductance; Vrev = reversal potential; V50 = half activation voltage; and k = slope factor. Data obtained from the Boltzmann fit analysis were then subjected to a two-tailed unpaired t-test [40].

Author Contributions

Conceptualization, M.L.D.; methodology, M.L.D. and G.J.S.; formal analysis, E.K., L.J.T., G.J.S. and M.L.D.; investigation, E.K., L.J.T., M.L.D. and G.J.S.; writing—original draft preparation, E.K.; writing—review and editing, M.L.D., L.J.T. and G.J.S.; supervision, M.L.D. and G.J.S.; project administration, M.L.D.; funding acquisition, M.L.D. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by an Alzheimer’s Association Research Grant Award (MD), grant number ARG- 16-440031.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

Data is contained within the article.

Acknowledgments

We thank Richard Miller (Northwestern University) for the HEK293 Cav2.2, b1b and a2d1 cell lines.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Hardy, J.; Selkoe, D.J. The Amyloid Hypothesis of Alzheimer’s Disease: Progress and Problems on the Road to Therapeutics. Science (1979) 2002, 297, 353–356. [Google Scholar] [CrossRef] [Green Version]
  2. Decourt, B.; Boumelhem, F.; Pope, E.D.; Shi, J.; Mari, Z.; Sabbagh, M.N. Critical Appraisal of Amyloid Lowering Agents in AD. Curr. Neurol. Neurosci. Rep. 2021, 21, 39. [Google Scholar] [CrossRef] [PubMed]
  3. Dawkins, E.; Small, D.H. Insights into the Physiological Function of the β-Amyloid Precursor Protein: Beyond Alzheimer’s Disease. J. Neurochem. 2014, 129, 756–769. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  4. Brothers, H.M.; Gosztyla, M.L.; Robinson, S.R. The Physiological Roles of Amyloid-β Peptide Hint at New Ways to Treat Alzheimer’s Disease. Front. Aging Neurosci. 2018, 10, 118. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  5. Bishop, G.M.; Robinson, S.R. Physiological Roles of Amyloid-β and Implications for Its Removal in Alzheimer’s Disease. Drugs Aging 2004, 21, 621–630. [Google Scholar] [CrossRef] [PubMed]
  6. Plant, L.D.; Webster, N.J.; Boyle, J.P.; Ramsden, M.; Freir, D.B.; Peers, C.; Pearson, H.A. Amyloid β Peptide as a Physiological Modulator of Neuronal ‘A’-Type K+ Current. Neurobiol. Aging 2006, 27, 1673–1683. [Google Scholar] [CrossRef]
  7. Yamamoto, K.; Yamamoto, R.; Kato, N. Amyloid β and Amyloid Precursor Protein Synergistically Suppress Large-Conductance Calcium-Activated Potassium Channel in Cortical Neurons. Front. Aging Neurosci. 2021, 13. [Google Scholar] [CrossRef] [PubMed]
  8. Zamponi, G.W.; Striessnig, J.; Koschak, A.; Dolphin, A.C. The Physiology, Pathology, and Pharmacology of Voltage-Gated Calcium Channels and Their Future Therapeutic Potential. Pharm. Rev. 2015, 67, 821–870. [Google Scholar] [CrossRef] [Green Version]
  9. Mezler, M.; Barghorn, S.; Schoemaker, H.; Gross, G.; Nimmrich, V. A β-Amyloid Oligomer Directly Modulates P/Q-Type Calcium Currents in Xenopus Oocytes. Br. J. Pharm. 2012, 165, 1572–1583. [Google Scholar] [CrossRef] [Green Version]
  10. Hermann, D.; Mezler, M.; Müller, M.K.; Wicke, K.; Gross, G.; Draguhn, A.; Bruehl, C.; Nimmrich, V. Synthetic Aβ Oligomers (Aβ(1-42) Globulomer) Modulate Presynaptic Calcium Currents: Prevention of Aβ-Induced Synaptic Deficits by Calcium Channel Blockers. Eur. J. Pharm. 2013, 702, 44–55. [Google Scholar] [CrossRef]
  11. Nimmrich, V.; Grimm, C.; Draguhn, A.; Barghorn, S.; Lehmann, A.; Schoemaker, H.; Hillen, H.; Gross, G.; Ebert, U.; Bruehl, C. Amyloid β Oligomers (Aβ1-42 Globulomer) Suppress Spontaneous Synaptic Activity by Inhibition of P/Q-Type Calcium Currents. J. Neurosci. 2008, 28, 788–797. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  12. Ueda, K.; Shinohara, S.; Yagami, T.; Asakura, K.; Kawasaki, K. Amyloid β Protein Potentiates Ca2+ Influx through L-Type Voltage- Sensitive Ca2+ Channels: A Possible Involvement of Free Radicals. J. Neurochem. 1997, 68, 265–271. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  13. Zhao, Y.; Sivaji, S.; Chiang, M.C.; Ali, H.; Zukowski, M.; Ali, S.; Kennedy, B.; Sklyar, A.; Cheng, A.; Guo, Z.; et al. Amyloid Beta Peptides Block New Synapse Assembly by Nogo Receptor-Mediated Inhibition of T-Type Calcium Channels. Neuron 2017, 96, 355–372.e6. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  14. Weiss, J.H.; Pike, C.J.; Cotman, C.W. Rapid Communication: Ca2+ Channel Blockers Attenuate β-Amyloid Peptide Toxicity to Cortical Neurons in Culture. J. Neurochem. 1994, 62, 372–375. [Google Scholar] [CrossRef]
  15. Morin, A.; Mouzon, B.; Ferguson, S.; Paris, D.; Browning, M.; Stewart, W.; Mullan, M.; Crawford, F. Nilvadipine Suppresses Inflammation via Inhibition of P-SYK and Restores Spatial Memory Deficits in a Mouse Model of Repetitive Mild TBI. Acta Neuropathol. Commun. 2020, 8, 166. [Google Scholar] [CrossRef]
  16. Paris, D.; Quadros, A.; Humphrey, J.; Patel, N.; Crescentini, R.; Crawford, F.; Mullan, M. Nilvadipine Antagonizes Both Aβ Vasoactivity in Isolated Arteries, and the Reduced Cerebral Blood Flow in APPsw Transgenic Mice. Brain Res. 2004, 999, 53–61. [Google Scholar] [CrossRef]
  17. Hussain, S.; Singh, A.; Rahman, S.O.; Habib, A.; Najmi, A.K. Calcium Channel Blocker Use Reduces Incident Dementia Risk in Elderly Hypertensive Patients: A Meta-Analysis of Prospective Studies. Neurosci. Lett. 2018, 671, 120–127. [Google Scholar] [CrossRef]
  18. Yasar, S.; Corrada, M.; Brookmeyer, R.; Kawas, C. Calcium Channel Blockers and Risk of AD: The Baltimore Longitudinal Study of Aging. Neurobiol. Aging 2005, 26, 157–163. [Google Scholar] [CrossRef] [Green Version]
  19. Forette, F.; Seux, M.L.; Staessen, J.A.; Thijs, L.; Birkenhäger, W.H.; Babarskiene, M.R.; Babeanu, S.; Bossini, A.; Gil-Extremera, B.; Girerd, X.; et al. Prevention of Dementia in Randomised Double-Blind Placebo-Controlled Systolic Hypertension in Europe (Syst-Eur) Trial. Lancet 1998, 352, 1347–1351. [Google Scholar] [CrossRef]
  20. Lawlor, B.; Segurado, R.; Kennelly, S.; Olde Rikkert, M.G.M.; Howard, R.; Pasquier, F.; Börjesson-Hanson, A.; Tsolaki, M.; Lucca, U.; Molloy, D.W.; et al. Nilvadipine in Mild to Moderate Alzheimer Disease: A Randomised Controlled Trial. PLoS Med. 2018, 15, e1002660. [Google Scholar] [CrossRef]
  21. Stevens, E.B.; Stephens, G.J. Recent Advances in Targeting Ion Channels to Treat Chronic Pain. Br. J. Pharm. 2018, 175, 2133–2137. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  22. Cao, S.; Fisher, D.W.; Yu, T.; Dong, H. The Link between Chronic Pain and Alzheimer’s Disease. J. Neuroinflammation 2019, 16, 204. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  23. Kumaradev, S.; Fayosse, A.; Dugravot, A.; Dumurgier, J.; Roux, C.; Kivimäki, M.; Singh-Manoux, A.; Sabia, S. Timeline of Pain before Dementia Diagnosis: A 27-Year Follow-up Study. Pain 2021, 162, 1578–1585. [Google Scholar] [CrossRef] [PubMed]
  24. Mochida, S. Presynaptic Calcium Channels. Neurosci. Res. 2018, 127, 33–44. [Google Scholar] [CrossRef] [Green Version]
  25. Catterall, W.A.; Few, A.P. Calcium Channel Regulation and Presynaptic Plasticity. Neuron 2008, 59, 882–901. [Google Scholar] [CrossRef] [Green Version]
  26. Ryan, T.M.; Caine, J.; Mertens, H.D.T.; Kirby, N.; Nigro, J.; Breheney, K.; Waddington, L.J.; Streltsov, V.A.; Curtain, C.; Masters, C.L.; et al. Ammonium Hydroxide Treatment of Aβ Produces an Aggregate Free Solution Suitable for Biophysical and Cell Culture Characterization. PeerJ 2013, 1, e73. [Google Scholar] [CrossRef] [Green Version]
  27. Poncer, J.C.; McKinney, R.A.; Gähwiler, B.H.; Thompson, S.M. Either N- or P-Type Calcium Channels Mediate GABA Release at Distinct Hippocampal Inhibitory Synapses. Neuron 1997, 18, 463–472. [Google Scholar] [CrossRef] [Green Version]
  28. Scholz, K.P.; Miller, R.J. Developmental Changes in Presynaptic Calcium Channels Coupled to Glutamate Release in Cultured Rat Hippocampal Neurons. J. Neurosci. 1995, 15, 4612–4617. [Google Scholar] [CrossRef] [Green Version]
  29. Huntula, S.; Saegusa, H.; Wang, X.; Zong, S.; Tanabe, T. Involvement of N-Type Ca2+ Channel in Microglial Activation and Its Implications to Aging-Induced Exaggerated Cytokine Response. Cell Calcium 2019, 82, 102059. [Google Scholar] [CrossRef]
  30. Saegusa, H.; Tanabe, T. N-Type Voltage-Dependent Ca2+ Channel in Non-Excitable Microglial Cells in Mice Is Involved in the Pathophysiology of Neuropathic Pain. Biochem. Biophys. Res. Commun. 2014, 450, 142–147. [Google Scholar] [CrossRef]
  31. Chiou, W.F. Effect of Aβ Exposure on the MRNA Expression Patterns of Voltage-Sensitive Calcium Channel A1 Subunits (A1A–A1D) in Human SK-N-SH Neuroblastoma. Neurochem. Int. 2006, 49, 256–261. [Google Scholar] [CrossRef] [PubMed]
  32. Kim, S.; Rhim, H. Effects of Amyloid-β Peptides on Voltage-Gated L-Type Ca v1.2 and Ca v1.3 Ca2+ Channels. Mol. Cells 2011, 32, 289–294. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  33. Li, Y.; Yang, H.; He, T.; Zhang, L.; Liu, C. Post-Translational Modification of Cav1.2 and Its Role in Neurodegenerative Diseases. Front. Pharm. 2022, 12, 3825. [Google Scholar] [CrossRef]
  34. Hettiarachchi, N.T.N.; Dallas, M.M.L.; Al-Owais, M.M.M.; Griffiths, H.H.H.; Hooper, N.M.N.; Scragg, J.J.L.; Boyle, J.P.J.; Peers, C. Heme Oxygenase-1 Protects against Alzheimer’s Amyloid-β(1-42)-Induced Toxicity via Carbon Monoxide Production. Cell Death Dis. 2014, 5, e1569. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  35. Gong, W.Y.; Wang, R.; Liu, Y.; Jin, H.; Zhao, Z.W.; Wang, Y.L.; Li, H.Y.; Zhang, X.; Ni, J.X. Chronic Monoarthritis Pain Accelerates the Processes of Cognitive Impairment and Increases the NMDAR Subunits NR2B in CA3 of Hippocampus from 5-Month-Old Transgenic APP/PS1 Mice. Front. Aging Neurosci. 2017, 9, 123. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  36. Husebo, B.S.; Achterberg, W.; Flo, E. Identifying and Managing Pain in People with Alzheimer’s Disease and Other Types of Dementia: A Systematic Review. CNS Drugs 2016, 30, 481–497. [Google Scholar] [CrossRef] [Green Version]
  37. Corbett, A.; Husebo, B.; Malcangio, M.; Staniland, A.; Cohen-Mansfield, J.; Aarsland, D.; Ballard, C. Assessment and Treatment of Pain in People with Dementia. Nat. Rev. Neurol. 2012, 8, 264–274. [Google Scholar] [CrossRef]
  38. Ezzati, A.; Wang, C.; Katz, M.J.; Derby, C.A.; Zammit, A.R.; Zimmerman, M.E.; Pavlovic, J.M.; Sliwinski, M.J.; Lipton, R.B. The Temporal Relationship between Pain Intensity and Pain Interference and Incident Dementia. Curr. Alzheimer Res. 2018, 16, 109–115. [Google Scholar] [CrossRef]
  39. Schroeder, C.; Doering, C.; Zamponi, G.; Lewis, R. N-Type Calcium Channel Blockers: Novel Therapeutics for the Treatment of Pain. Med. Chem. 2006, 2, 535–543. [Google Scholar] [CrossRef]
  40. LaFerla, F.M. Calcium Dyshomeostasis and Intracellular Signalling in Alzheimer’s Disease. Nat. Rev. Neurosci. 2002, 3, 862–872. [Google Scholar] [CrossRef]
  41. Park, J.F.; Luo, Z.D. Calcium Channel Functions in Pain Processing. Channels 2010, 4, 510–517. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  42. Patel, R.; Montagut-Bordas, C.; Dickenson, A.H. Calcium Channel Modulation as a Target in Chronic Pain Control. Br. J. Pharm. 2018, 175, 2173–2184. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  43. Chen, Y.; Fu, A.K.Y.; Ip, N.Y. Synaptic Dysfunction in Alzheimer’s Disease: Mechanisms and Therapeutic Strategies. Pharm. 2019, 195, 186–198. [Google Scholar] [CrossRef] [PubMed]
  44. McDavid, S.; Currie, K.P.M. G-Proteins Modulate Cumulative Inactivation of N-Type (Cav2.2) Calcium Channels. J. Neurosci. 2006, 26, 13373–13383. [Google Scholar] [CrossRef] [Green Version]
  45. Vogl, C.; Tanifuji, S.; Danis, B.; Daniels, V.; Foerch, P.; Wolff, C.; Whalley, B.J.; Mochida, S.; Stephens, G.J. Synaptic Vesicle Glycoprotein 2A Modulates Vesicular Release and Calcium Channel Function at Peripheral Sympathetic Synapses. Eur. J. Neurosci. 2015, 41, 398–409. [Google Scholar] [CrossRef]
Figure 1. Temporal profile of Aβ1-42 fibrillization. Transmission electron microscopy (TEM) was used to monitor Aβ1-42 fibrillization. Representative images (from n = 22) using a NH4OH dissolution protocol (see Methods) showed that (a) at 0 h, the peptide was largely not aggregated, (b) at 24 h, peptide fibrillization had started (protofibrils <100 nm) and (c) by 48 h, the peptide aggregated into larger protofibrils (>100 nm in length); (d) as a comparison, Aβ42-1 was analysed, revealing that it did not aggregate into protofibrils and it remained as unaggregated clumps. (e) Image J analysis of protofibril length revealed that by 48 h, the majority of the protofibrils were over 100 nm in length, and at 24 h with the NH4OH protocol the predominant form was <100 nm (n = 22–28).
Figure 1. Temporal profile of Aβ1-42 fibrillization. Transmission electron microscopy (TEM) was used to monitor Aβ1-42 fibrillization. Representative images (from n = 22) using a NH4OH dissolution protocol (see Methods) showed that (a) at 0 h, the peptide was largely not aggregated, (b) at 24 h, peptide fibrillization had started (protofibrils <100 nm) and (c) by 48 h, the peptide aggregated into larger protofibrils (>100 nm in length); (d) as a comparison, Aβ42-1 was analysed, revealing that it did not aggregate into protofibrils and it remained as unaggregated clumps. (e) Image J analysis of protofibril length revealed that by 48 h, the majority of the protofibrils were over 100 nm in length, and at 24 h with the NH4OH protocol the predominant form was <100 nm (n = 22–28).
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Figure 2. The 100 nM protofibrillar Aβ1-42 did not affect Cav2.2 currents. (a) Cav2.2 currents evoked by voltage steps (−70 to +50 mV) following control (PBS) treatment and (b) Cav2.2 currents evoked by voltage steps (−70 to +50 mV) following 100 nM protofibrillar Aβ1-42 treatment.
Figure 2. The 100 nM protofibrillar Aβ1-42 did not affect Cav2.2 currents. (a) Cav2.2 currents evoked by voltage steps (−70 to +50 mV) following control (PBS) treatment and (b) Cav2.2 currents evoked by voltage steps (−70 to +50 mV) following 100 nM protofibrillar Aβ1-42 treatment.
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Figure 3. Effect of protofibrillar 100 nM Aβ1-42 on Cav2.2 kinetics. Whole-cell patch clamp popul-tion experiments investigating the effect of protofibrillar 100 nM Aβ1-42 vs. vehicle control (PBS) on Cav2.2 channel kinetics of Cav2.2 stably transfected HEK293 cells; mean ± SEM, n = 8–11 throughout. (a) Current density–voltage (−70 to +50 mV) relationship; (b) current density of Cav2.2 channels at +10 mV; (c) reversal potential of Cav2.2 current; (d) half-activation voltage of Cav2.2 channels; (e) changes in the slope factor (k) of Cav2.2 current; and (f) maximal conductance of Cav2.2 channels.
Figure 3. Effect of protofibrillar 100 nM Aβ1-42 on Cav2.2 kinetics. Whole-cell patch clamp popul-tion experiments investigating the effect of protofibrillar 100 nM Aβ1-42 vs. vehicle control (PBS) on Cav2.2 channel kinetics of Cav2.2 stably transfected HEK293 cells; mean ± SEM, n = 8–11 throughout. (a) Current density–voltage (−70 to +50 mV) relationship; (b) current density of Cav2.2 channels at +10 mV; (c) reversal potential of Cav2.2 current; (d) half-activation voltage of Cav2.2 channels; (e) changes in the slope factor (k) of Cav2.2 current; and (f) maximal conductance of Cav2.2 channels.
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Figure 4. 1 µM protofibrillar Aβ1-42 reduced Cav2.2 currents. (a) Cav2.2 currents evoked by voltage steps (−70 to +50 mV) following control (PBS) treatment and (b) Cav2.2 currents evoked by voltage steps (−70 to +50 mV) following 1 µM protofibrillar Aβ1-42 treatment.
Figure 4. 1 µM protofibrillar Aβ1-42 reduced Cav2.2 currents. (a) Cav2.2 currents evoked by voltage steps (−70 to +50 mV) following control (PBS) treatment and (b) Cav2.2 currents evoked by voltage steps (−70 to +50 mV) following 1 µM protofibrillar Aβ1-42 treatment.
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Figure 5. Effect of protofibrillar 1 mM Aβ1-42 on Cav2.2 kinetics. Whole-cell patch clamp population experiments investigating the effect of protofibrillar 1 µM Aβ1-42 vs. vehicle control (PBS) on Cav2.2 channel kinetics of Cav2.2 stably transfected HEK293 cells; mean ± SEM, n = 15 throughout. (a) Current density–voltage (−70 to +50 mV) relationship; (b) current density of Cav2.2 channels at +10 mV; (c) reversal potential of Cav2.2 current; (d) half-activation voltage of Cav2.2 channels; (e) changes in the slope factor (k) of Cav2.2 current; and (f) maximal conductance of Cav2.2 channels. * = p < 0.05, two-tailed unpaired t-test.
Figure 5. Effect of protofibrillar 1 mM Aβ1-42 on Cav2.2 kinetics. Whole-cell patch clamp population experiments investigating the effect of protofibrillar 1 µM Aβ1-42 vs. vehicle control (PBS) on Cav2.2 channel kinetics of Cav2.2 stably transfected HEK293 cells; mean ± SEM, n = 15 throughout. (a) Current density–voltage (−70 to +50 mV) relationship; (b) current density of Cav2.2 channels at +10 mV; (c) reversal potential of Cav2.2 current; (d) half-activation voltage of Cav2.2 channels; (e) changes in the slope factor (k) of Cav2.2 current; and (f) maximal conductance of Cav2.2 channels. * = p < 0.05, two-tailed unpaired t-test.
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Kaisis, E.; Thei, L.J.; Stephens, G.J.; Dallas, M.L. Protofibrillar Amyloid Beta Modulation of Recombinant hCaV2.2 (N-Type) Voltage-Gated Channels. Pharmaceuticals 2022, 15, 1459. https://doi.org/10.3390/ph15121459

AMA Style

Kaisis E, Thei LJ, Stephens GJ, Dallas ML. Protofibrillar Amyloid Beta Modulation of Recombinant hCaV2.2 (N-Type) Voltage-Gated Channels. Pharmaceuticals. 2022; 15(12):1459. https://doi.org/10.3390/ph15121459

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Kaisis, Eleni, Laura J. Thei, Gary J. Stephens, and Mark L. Dallas. 2022. "Protofibrillar Amyloid Beta Modulation of Recombinant hCaV2.2 (N-Type) Voltage-Gated Channels" Pharmaceuticals 15, no. 12: 1459. https://doi.org/10.3390/ph15121459

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