Aus der Klinik für Anästhesiologie der Friedrich-Alexander-Universität Erlangen-Nürnberg Direktor: Prof. Dr. med. Dr. h.c. Jürgen Schüttler Effect of tolperisone on rat skeletal muscle, human heart and sensory neuron specific sodium channels Inaugural-Dissertation zur Erlangung der Doktorwürde der Medizinischen Fakultät der Friedrich-Alexander-Universität Erlangen-Nürnberg Vorgelegt von Doris Rohde aus Erlangen Gedruckt mit Erlaubnis der Medizinischen Fakultät der Friedrich-Alexander-Universität Erlangen-Nürnberg Dekan: Prof. Dr. J. Schüttler Referent: Prof. Dr. C. Nau Korreferent: Prof. Dr. P. Reeh Tag der mündlichen Prüfung: 15. Dezember 2010 Für meine Mutter und Luigi Inhaltsverzeichnis Seite 1. Zusammenfassung 1 2. Introduction 4 2.1. Mechanisms of pain and nociception 4 2.2. Voltage-gated sodium channels 8 2.3. Aims of the study 9 3. 4. Methods 14 3.1. Site-directed mutagenesis and transient transfection 14 3.2. Chemicals and solutions 15 3.3. Patch-clamp technique 16 3.4. Electrophysiology and data acquisition 22 Results 23 4.1. Comparison of Tolperisone and Lidocaine Action on µ1 Wild-Type Na+ Channels 23 4.2. Block of Mutant Nav 1.4 Channels by Tolperisone 26 4.3. Voltage-dependent Block of Nav 1.5 and Nav 1.8 Wild-Type Channels 29 4.4. Inactivation Kinetics of Nav 1.8 Channels and Recovery from Block by Tolperisone 30 4.5. State-Dependent Block of Nav 1.4, Nav 1.5 and Nav 1.8 Channels by Tolperisone 31 4.6. Tolperisone and Lidocaine Block of Inactivation-deficient Nav 1.4-WCW sodium channels 33 5. Discussion 35 6. References 38 7. Abkürzungsverzeichnis 43 8. Danksagung 45 9. Lebenslauf 46 -1- 1. D i e W i r k u n g v o n To l p e r i s o n , e i n e m o r a l a p p l i z i e r t e n Natriumkanalblocker zur Behandlung schmerzhafter Muskelverspannungen, auf muskuläre, kardiale und neuronale Natriumkanäle Hintergrund und Ziele Tolperison (Mydocalm®) wird als „Lokalanästhesie zum Schlucken“ vermarktet und ist zugelassen zur Behandlung von schmerzhaften Muskelverspannungen bei degenerativen Veränderungen des Bewegungsapparates sowie zur Behandlung von Spastizität bei neurologischen Erkrankungen. Tolperison weist strukturelle Ähnlichkeiten mit Lidocain auf, trägt allerdings eine Ketongruppe anstelle einer Amidgruppe. Ziel dieser Studie war zu untersuchen, ob Tolperison mit der Bindungsstelle für Lokalanästhetika spannungsabhängiger Natriumkanäle interagiert, ob Tolperison unterschiedliche Wirkungen auf muskuläre Nav1.4, kardiale Nav1.5 und neuronale Nav1.8 Kanäle hat und ob sich die Wirkung von Tolperison und Lidocain auf Nav1.4 Kanäle unterscheidet. Methoden Heterologe transiente Expression. HEK 293t bzw. ND7/23 Zellen wurden mit Hilfe der Kalzium-Phosphat Methode transient transfiziert mit den Wild-Typen der Na+Kanäle Nav1.4-WT, Nav1.5-WT und Nav1.8-WT bzw. mit den Mutationen Nav1.4F1579K, Nav1.4-L1280K, Nav1.4-N434K und Nav1.4-WCW (10µg). Als Reporter Antigen wurde CD8-pih3m (1-2µg) co-transfiziert, so dass transfektions-positive Zellen mittels anti-CD8 Immunperlen (CD8-Dynabeads, Dynal A.S., Oslo, Norway) zu identifizieren waren. Lösungen. Tolperison und Lidocain wurden in DMSO gelöst, um Stocklösungen in einer Konzentration von 100 mM zu erhalten. Die Extrazellulärlösung enthielt (in mM) 65 NaCl, 85 Choline Cl, 2 CaCl2 und 10 Hepes (pH 7.4, eingestellt mit TMA- -2- OH). Die Pipettenlösung enthielt (in mM) 100 NaF, 30 NaCl, 10 EGTA und 10 Hepes (pH 7.2, eingestellt mit CsOH). Elektrophysiologie und Datenerhebung. Die Natriumströme wurden bei Zimmertemperatur mit Hilfe der Whole-Cell Konfiguration der Patch-Clamp Methode gemessen. Das Haltepotential betrug –140 mV. Natriumströme wurden mit einem Axopatch 200B Patch Clamp Verstärker (Axon Instruments, Union City, CA) aufgezeichnet. Die Filter-Frequenz betrug 5 kHz, die Sample-Frequenz betrug 20 kHz. Das Programm pCLAMP 8.0 (Axon Instruments) diente zur Erhebung und Analyse der Daten. Für die statistische Auswertung und die Erstellung von Graphiken wurde das Programm Origin 6.1 (Origin Lab Corporation, Northampton, MA) angewendet. Ergebnisse und Beobachtungen Die Wirkung von Tolperison auf den muskulären Nav1.4-WT-Kanal und auf dessen Mutationen F1579K, L1280K und N434K wurden untersucht. Diese Mutationen befinden sich im Bereich der Lokalanästhetikabindungsstelle spannungsabhängiger Natriumkanäle. Es wurde der spannungsabhängige Block auf ruhende und inaktivierte Kanäle bestimmt. Dabei wurden ruhende Kanäle durch negativere Vorpulspotentiale und inaktivierte Kanäle durch positivere Vorpulspotentiale charakterisiert. Es zeigte sich, dass der Block für ruhende Kanäle keinen signifikanten Unterschied zwischen dem WT-Kanal und den Mutationen aufweist, während der Block für inaktivierte Kanäle bei den Mutationen deutlich geringer ausfällt als am WT-Kanal. Weiterhin wurde mittels Dosis-Wirkungs-Experimenten die Wirkung von Tolperison auf ruhende und inaktivierte Nav1.4, Nav1.5 und Nav1.8 Kanäle untersucht. Es stellte sich heraus, dass die ermittelten IC50 Werte sowohl für ruhende als auch für inaktivierte Kanäle keinen signifikanten Unterschied zwischen den Natriumkanal Isoformen zeigen. Zuletzt wurde wiederum mittels DosisWirkungsexperimenten die Wirkung von Tolperison und Lidocain am muskulären Nav-1.4 Kanal verglichen. Die Experimente ergaben, dass Tolperison mit 143 µM -3- einen deutlich niedrigeren IC50 Wert hat als Lidocain, dessen IC50 Wert 528 µM beträgt. Praktische Schlussfolgerungen Tolperison interagiert mit der Lokalanästhetikabindungsstelle spannungsabhängiger Natriumkanäle und zeigt dabei keine Isoform Spezifität zwischen muskulären, kardialen und neuronalen Natriumkanälen. Zudem ist Tolperison ca. 4-fach potenter als Lidocain am muskulären Natriumkanal. -4- 2. INTRODUCTION 2.1. Mechanisms of pain and nociception. Pain experience is a highly complex process involving physiological, cognitive as well as emotional aspects. In clinical practice, pain is generally classified as acute and chronic. Acute pain is elicited by a noxious stimulus applied on healthy tissue. Pain can be seen as a warning system which is meant to preserve the organism from damage and injury by triggering protective reflexes. In the case of chronic pain, the sensation of pain looses its protective function and becomes a debilitating, pathologic process with no useful purpose. States of persistent pain can be initiated and maintained by peripheral as well as central mechanisms. In chronic pain syndromes a normally painful stimulus can lead to a painful sensation of greater intensity. This phenomenon is called hyperalgesia. A normally nonpainful stimulus causing a painful sensation, however, is referred to as allodynia. Generally chronic pain can be subdivided into two classes: nociceptive and neuropathic pain. Nociceptive pain is a result of direct activation of nociceptors caused by tissue damage leading to an inflammatory process in the surrounding tissue. The inflammation will cause persistent pain which can be associated with hyperalgesia and allodynia. Neuropathic pain, on the other side, results from direct injury or disease of neuronal structures either in the peripheral or central nervous system. It may have burning or electrical character and can be combined with hyperalgesia and allodynia. In the periphery direct nerve injury but also indirect damage through metabolic diseases may cause neuropathic pain. Central pain may occur as a result of damage to central structures such as the thalamus. Examples for neuropathic pain syndromes are reflex sympathetic dystrophy, postherpetic neuralgia and phantom limb pain following traumatic or surgical amputation of a limb. The physiological processes involved in the experience of pain are transduction, transmission, modulation and perception. Transduction describes the process of -5- converting a noxious stimulus into an electrical impulse in form of an action potential. This occurs in peripheral tissues where specialized sensory receptors called nociceptors are activated by a noxious stimulus. These nociceptors are free nerve endings of primary sensory neurons whose cell bodies are located in the dorsal root ganglia of the spinal cord and the trigeminal ganglia for the body and the face, respectively. These nociceptors are excited by a variety of stimuli which can be of either mechanical, thermal or chemical nature. Most nociceptors are polymodal, meaning that they detect more than one form of stimulus. Furthermore, nociceptors can be distinguished from other sensory neurons as they exhibit distinct thresholds allowing only high intensity stimuli to be transducted into an action potential. Transmission defines the conduction of the electrical impulse in form of an action potential from the peripheral nociceptor to the dorsal root ganglion in the spinal cord and further to different regions of the brain. Fibers innervating the body and the head originate from cell bodies in the trigeminal and dorsal root ganglia. There are three main groups of fibers. Aβ fibers are myelinated, large diameter fibers with rapid conduction velocity of mostly innocuous stimuli which do not result in painful sensation. Medium diameter, myelinated Aδ fibers have conduction velocities of approximately 5-30 m/s and are thought to mediate the acute sharp pain, whereas unmyelinated, small diameter C fibers (conduction velocitiy ~ 1 m/s) mediate the more delayed and dull pain after a noxious stimulus. Aδ fibers can be divided further into two subclasses according to their threshold properties. Type I Aδ fibers respond to chemical and mechanical stimuli and exhibit a high threshold for thermal stimuli at approximately 53 °C. In contrast, type II Aδ fibers have a much lower threshold for heat at approximately 43 °C, but they also detect noxious mechanical and chemical stimuli. The unmyelinated C fibers are very heterogenous, detecting a wide range of noxious mechanical, chemical and thermal stimuli. C fibers have a thermal threshold at ~ 43 °C like the type II Aδ fibers. The cell bodies of these fibers lie within the dorsal horn of the spinal cord where the signal is transmitted synaptically to the -6- ascending pathways. Six laminae can be distinguished in the dorsal horn based on different cytological properties of the cells predominantly found in each lamina. Primary afferent sensory fibers end in distinct layers of the dorsal horn based on different modalities of these neurons. Nociceptive fibers of Aδ and C fibers end in the superficial laminae I and II. Neurons in laminae III and IV mainly receive input from Aβ fibers in form of nonnoxious stimuli. Lamina V plays a particular role as so-called “wide dynamic range” (WDR) neurons receive a broad range of input directly from Aβ and Aδ fibers and indirectly from C fibers. Moreover, these WDR neurons respond to nociceptive input from visceral tissues. This convergence of peripheral somatic as well as visceral nociceptive input in WDR neurons is thought to be the origin of the so-called referred pain. In this case, pain resulting from an injury or disease of a visceral tissue is projected to a somatic structure (e.g. in case of myocardial infarction pain is referred to the left shoulder and arm). The major neurotransmitter involved in synaptic transmission of nociceptive signals is the excitatory amino acid glutamate which leads to activation of the AMPA-type glutamate receptor. The major ascending pathways for pain are the spinothalamic, spinoreticular, spinomesencephalic, cervicothalamic and spinohypothalamic tract, respectively. The spinothalamic tract ascends on the contralateral side of the spinal cord and terminates in the thamalus which acts as a relay for afferent information to the central cortex. The perception of pain mainly occurs in the thamalus and cerebral cortex. Regions involved in the affective component of pain are the amygdalae and the gyrus cinguli as part of the limbic system. The spinohypothalamic tract ends in the hypothalamus leading to endocrine reaction of the body to painful stimulus. The alteration of pain transmission through inhibitory and excitatory mechanisms is called modulation. Nociceptors do not only have an afferent function, but also exhibit efferent properties leading to peripheral modulation and sensitization. In response to tissue damage and inflammation a variety of mediators is released at the peripheral end of the nociceptor including extracellular protons, arachidonic acid, -7- prostaglandins, serotonin, bradykinin, potassium, and neuropeptides such as substance P and calcitonin-gene-related peptide. These substances lead to the socalled neurogenic inflammation. This process leads to drop of activation thresholds in nociceptors so that even normally innocuous stimuli may result in a painful sensation. Central mechanisms of sensitization lead to a state of hyperexcitability within the central nervous system following painful stimuli. This can occur through alterations in glutamatergic transmission, loss of inhibitory controls as well as through glial interactions with the neurons in the dorsal horn. Noxious stimuli may increase the release of neurotransmitters in the dorsal horn which results in activation of silent NMDA receptors, consequently increasing the calcium influx in secondary postsynaptic neurons. Also the activation of second messenger pathways (PKA, PKC, MAP-kinase) will lead to a further increase of neuronal excitability by modulating receptor function. The loss of GABA-ergic and glycinergic inhibition in the dorsal horn will also contribute to states of increased pain by enhancing depolarization of postsynaptic neurons. Finally, after nerve injury microglia and astrocytes can be inceasingly found in the dorsal horn where they produce cytokines such as TNF-α and different interleukins which contribute to central sensitization. -8- Figure 1. Membrane topology of the alpha-subunit of the voltage-gated sodium channel. The diagram shows the four homologous domains each consisting of six transmembrane segments. Intra- and extracellular linkers connect the segments as well as the domains with each other. Positively charged amino acid residues in the S4 segments serve for voltage sensing. S5 and S6 segments form the inner pore of the channel. The intracellular linker between D3-S6 and D4-S1 is involved in the inactivation of the channel. Diagram from Catterall W.A. (5). 2.2. Voltage-gated sodium channels. The conduction of a pain signal along nerve fibers occurs by activation of a variety of voltage-gated ion channels. Especially voltage-gated sodium and potassium channels are involved in the generation and propagation of action potentials along nerve fibers. At present, nine different isoforms of voltage-gated sodium channels have been identified, which are expressed in different tissues such as cardiac muscle, skeletal muscle or nerve cells. All isoforms of the voltage-gated sodium channel family consist of one larger α-subunit (~ 260 kDa) containing approximately 2000 amino acids and one or more β-subunits (β1-β3; ~33-36 kDa; see Figure 1). The nine -9- isoforms of voltage-gated sodium channels are identical in more than 50 % of the amino acid sequence. Heterologous expression of the α-subunit of various isoforms indicates that the α-subunit alone is essential for channel function forming the ionconducting channel pore. Coexpression of β-subunits modulates voltage-dependence as well as kinetics of gating and increases the level of expression of the alpha-subunit. Four transmembrane domains (D1-D4), each consisting of six alpha-helical transmembrane segments (S1-S6), form the functional alpha-subunit. The various segments are connected by intra- and extracellular linkers which are in part glycosylated (linker D1-S5 to D1-S6). The four domains are linked by larger intracellular loops. These domains assemble about the axis to form the functional unit of the channel. Several amino acid residues have been identified to play important roles in channel function. The S5 and S6 segments of each domain form the inner wall of the channel pore (4) with the extracellular linker between S5 and S6, also called P-loop, functioning as a selectivity filter. Positively charged amino acid residues in S4 segments in each domain create the voltage sensor (23, 35). Hydrophobic amino acid residues (isoleucine, phenylalanine, methionine) in the intracellular D3-D4 linker can block the inner mouth of the pore, putatively forming the inactivation gate of the channel (9, 36, 40). Sodium channel function can be characterized by three key features first described and recorded by Hodgkin and Huxley (17): voltage-dependent activation, rapid inactivation and sodium ion selectivity. Sodium channels change their conformation depending on membrane potential. The channel exists in three different conformational states: on the one hand the open state which is ion-conducting, on the other hand the resting and the inactivated state which both are not ion-conducting. 2.3. Aims of the study. In this study, one of the predominant aims was to analyze tolperisone interaction with the local anesthetic binding site of voltage-gated sodium channels. Furthermore, - 10 - tolperisone action on three different isoforms of the voltage-gated sodium channel family, namely the rat skeletal muscle Nav 1.4 , the human heart Nav 1.5 and the sensory neuron specific Nav 1.8 sodium channel was investigated. Finally, the tolperisone and lidocaine block of the rat skeletal muscle sodium channel was described in detail. Tolperisone is a centrally acting muscle relaxant (23) which is used for the treatment of muscle spasm and spasticity occuring in degenerative and inflammatory diseases of the musculoskeletal and nervous system. In previous clinical studies, tolperisone has been reported to be a reliable adjuvant to physiotherapy in alleviating muscular pain (21). Other studies have also demonstrated the positive effects of tolperisone on painful reflex muscle spasm (32) and spasticity following cerebral stroke (34). Typical side effects of centrally acting muscle relaxants such as sedation, dizziness and impairment of coordination did not appear during treatment with tolperisone (8). Therefore, this drug is considered to be an alternative to other muscle relaxants. The pharmacological targets of tolperisone are voltage-gated sodium channels. Previously, it has been shown that tolperisone inhibits mono- and polysynaptic reflex pathways in animal spinal motoneurons (10). Moreover, it decreased sodium permeability in single intact ranvier nodes (15). Voltage-gated sodium channels play an important role in the origin of acute and chronic pain as they underlie modulation and sensitization through inflammatory mediators. The rat skeletal muscle Nav 1.4 sodium channel was included in our study because tolperisone acts as a muscle relaxant, the Nav 1.5 channel was included because it may be the cause of cardiac side effects such as arrhythmias. As the sensory neuron specific SNS (Nav 1.8) sodium channels are of great significance concerning chronic pain disorders, they were also included in this study (1, 24). - 11 - Figure 2. Molecular structure of tolperisone (Fig. 2A) and the local anesthetic lidocaine (Fig. 2B). The two molecules have common chemical features such as a tertiary nitrogen, a carbonyl group as well as an aromatic ring. Tolperisone contains a ketone group instead of an amide group. The chemical structure of tolperisone is very similar to that of the local anesthetic lidocaine (see Figure 2). In fact, a study of Fels (11) has demonstrated that both drugs exhibit a closely related three-dimensional geometry. It is therefore conceivable that tolperisone acts on the same receptor site as lidocaine. The common structure of voltage-gated sodium channels consists of an α subunit, forming the functional unit of the channel, combined with one or more smaller β subunits. The complex α subunit is composed of four domains (D1-D4), each one having six transmembrane segments (42). The putative local anesthetic binding site of voltagegated sodium channels consists of the amino acid sequence of the S6 segments of - 12 - domains 1, 3 and 4 (38). We investigated whether tolperisone interacts with the local anesthetic binding site by creating three lysine point mutations of the rat skeletal muscle Nav 1.4 sodium channel. These point mutations at position 434, 1280 and 1579 in amino acid sequence lie within the sixth segments of domains 1, 3 and 4, respectively. They are thus part of the putative local anesthetic binding site. By substituting amino acid residues with lysine, we introduced a positive charge at positions 434, 1280 and 1579 in amino acid sequence, thus altering the interaction between the amino acid residue and the local anesthetic. It has been shown that the local anesthetic block by bupivacaine was reduced in the inactivated state of the mutant N434K (27). Moreover, the mutant L1280K displays a strong reduction in bupivacaine affinity for the inactivated state (39). Finally, lysine mutation at F1579 also reduces the local anesthetic block of inactivated channels (41). - 13 - Figure 3. This diagram schematically shows the steps of site-directed mutagenesis using the TransformerTM Site-Directed-Mutagenesis Kit (Clontech Laboratories, Inc.). Diagram from TranformerTM Site-Directed Mutagenesis Kit User Manual. - 14 - 3. METHODS 3.1. Site-directed mutagenesis and transient transfection. Site-directed mutagenesis of rat skeletal muscle Nav1.4-cDNA was performed with the TransformerTM Site-Directed-Mutagenesis Kit (Clontech Laboratories, Inc.) to create point mutations at specific sites of amino acid sequence. This method was first described in 1978 by Hutchinson CA et al (18). Figure 3 shows the steps of sitedirected mutagenesis. This technique allows introducing specific mutations (single or multiple base changes, deletions or insertions) into a defined region in a DNA molecule. Double strand plasmids containing the gene of interest and a unique restriction enzyme site are denatured into single-strand plasmids. The unique restriction enzyme site is required to allow selection between mutated and unmutated parental plasmids. The single-strand plasmids are re-annealed with a selection primer as well as the mutagenic primer containing the mutation to be introduced. With DNA polymerase the second strand is synthesized and gaps are sealed with DNA ligase creating a hybrid mutated-parental plasmid. After undergoing DNA elongation and ligation the mutated and unmutated plasmids are transformed into E.coli strain which lacks mismatch repair thus preventing repair of the mutant DNA strand. Then, the plasmid DNA is isolated from the bacterial pool and subjected to digestion with a selective restriction enzyme. As the mutated DNA plasmids lack the selective restriction enzyme they are resistant to digestion and will be preserved whereas parental DNA will be eliminated. Final transformation is performed to amplify and clone the mutated plasmid. This technique will yield a mutation efficiency of > 70-90%. The culture of human embryonic kidney (HEK) 293t cells and their transfection by the calcium phosphate precipitation method have been described previously (3). Calcium phosphate precipitation is widely used for transfection. This method was first systematically examined and described by Graham and van der Eb in 1973 (12). In their study the effect of different cations, cationic and phosphate - 15 - solutions on transfection parameters was analyzed. This method can be used for transfection of many different types of cultured cells. The DNA which is to be transfected is mixed with calcium chloride and added to a buffered saline/phosphate solution. Then this mixture incubates at room temperature generating a precipitate which is added to the cultured cells. Via endocytosis and phagocytosis the cells will take up the DNA precipitate. In this study, the alpha subunits of Nav 1.4, Nav 1.5 as well as the mutants Nav 1.4F1579K, L1280K, N434K, WCW and reporter plasmid CD8-pih3m were transiently transfected in HEK 293t cells. The alpha subunit of the Nav 1.8 channel was transiently transfected together with reporter plasmid CD8-pih3m and the β1-subunit in the dorsal root ganglion neuroblastoma cell line ND7-23. This cell line was chosen as it has been proven to reliably express Nav 1.8-cDNA in comparison to other heterologous expression systems (19). Approximately 10 µg of Nav 1.4, Nav 1.5, Nav 1.8 and mutant plasmids, 5 µg of β1-subunit plasmid and 1-2 µg of reporter plasmid CD8 were used for transfection. Cells were grown to 50 % confluence in Ti25 flask before transfection in Dulbecco’s modified Eagle’s medium (Life Technologies, GIBCO BRL), containing 10 % fetal bovine serum (Life Technologies, GIBCO BRL), 1 % penicillin and streptomycin solution (Life Technologies, GIBCO BRL), 3 mM taurine, and 25 mM HEPES (Sigma Chemicals, St. Louis, MO). For transfection, cells rested for 12 hours and were then replated in 35 mm culture dishes. Transfected cells were used for experiments within 1-3 days. Transfection positive cells were identified with CD8-dynabeads (Dynal A.S., Oslo, Norway). 3.2. Chemicals and Solutions. Tolperisone (CHEMOS GmbH, Regenstauf, Germany) and lidocaine (Sigma Chemicals, St. Louis, MO) were dissolved in dimethylsulfoxide (DMSO) to obtain 100 mM stocks. For electrophysiological experiments, the substances were diluted to the concentration required. The internal solution for pipettes contained 100 mM NaF, - 16 - 30 mM NaCl, 10 mM EGTA and 10 mM HEPES adjusted to pH 7.2 with CsOH. The external solution consisted of 65 mM NaCl, 85 mM choline chloride, 2 mM CaCl2 and 10 mM HEPES titrated with TMA-OH (tetramethylammonium-hydroxide) to pH 7.4. 3.3 Patch-Clamp Technique. Today the patch-clamp technique represents one of the fundamental experimental methods in electrophysiological research allowing detailed analysis of ion channel function in cell membranes. In history, the beginnings of electrophysiology go back to the mid 16th century when the dutch scientist Jan Swammerham (6) first developed a neuromuscular preparation from a frog’s thigh. He found that the stimulation of a nerve would trigger the contraction of the adherent muscle. Less than a century later, Luigi Galvani (Italian physician and scientist) published his study “De viribus electricitatis in motu muscularis commentarius”, in which he presents his theory on “animal electricity” (37). This was based on observations of nerve-muscle preparations from frog legs and their isolated sciatic nerves. He postulated that “animal electricity” results from a discrepancy of positive and negative charges on the in- and outside of the nerve’s surface. Only in 1838 could the Italian Carlo Matteucci measure directly with a galvanometer the electrical current generated by muscle tissue (37). Subsequently, Emil du Bois-Reymond (Physiologist at Charité, Berlin, Germany) detected an electrical response to stimulation of nerve or muscle tissue with zinc/zinc-sulfate electrodes. He called this response “negative Schwankungen” or “negative fluctuations” (37). In the years 1850-1852, Hermann von Hemholtz (German physicist and physiologist) first determined the speed by which electrical impulses are propagated along nerve fibres (14). In nerve-muscle preparations, he measured the latency between an electrical stimulus of nerve fibre and muscle contraction. The values he determined were about 25-40 m/sec. Julius Bernstein later confirmed Hemholtz’s data with the first recordings of resting and action potentials with a new experimental setup. The so-called “differential - 17 - rheotome” allowed the recording of very fast electrical impulses with a sampling rate of approximately a few tens of milliseconds. For the first time ever, it was thus possible to display the time course of action potentials. On the basis of his experiments, Bernstein calculated the resting potential at approximately -60 mV and postulated that potassium selectivity across a permeable membrane was responsible for maintaining resting potential. Bernstein also determined the rising time of action potential at about 0,3 ms and its duration at about 0,8-0,9 ms (2). Bernstein’s theory of potassium ions being involved in stabilizing resting potential was further developed by Charles Ernst Overton, who suggested that sodium ions are required for action potential and that this process results from the exchange of sodium and potassium ions (30). Overton also first proposed that the cell membrane had a lipidlike structure as he found that lipid soluble dyes would enter cells much more easily than water soluble dyes. The lipid bilayer structure of cell membranes was finally confirmed in the 1920’s and 1930’s by Gorter and Grendel (37) as well as Danielli and Dawson (37). They also postulated that the lipid bilayer would contain proteins as well as pores allowing the passage of hydrophilic substances such as ions. Therefore by that time, the basic structure of cell membranes had been found, yet no one had proven directly the existence of ion channels nor shown that channels were responsible for the excitability of membranes. In the late nineteen thirties Kenneth S. Cole and H.J. Curtis introduced the voltage clamp technique. They used this new method to perform impedance measurements on isolated axons from squid axons by using extracellular electrodes (7). With these experiments they demonstrated that action potential leads to a rapid decrease in membrane resistance. This indicated that the conductance of a nerve membrane was significantly increased during the development of action potential. Between 1949 and 1952, Alan Hodgkin and Andrew Huxley employed the voltage clamp technique to study the generation of action potentials in the giant squid axon. They performed these experiments to demonstrate their hypothesis of a “carrier-model” being - 18 - responsible for the generation of action potentials. However, their experiments yielded data that proved their first hypothesis to be false. They clearly found that neuronal excitability was due to specific potassium and sodium currents. In several experiments, the “carrier-model” could not explain the results, such as the almost linear correlation between current and voltage. Finally, Hodgkin and Huxley suggested a voltage-dependent gate to be involved in ion conductance across the membrane (17). Experiments performed by Hladky and Haydon (1970) with artificial membranes resembling the phosholipid bilayer of living cell membranes (the so-called “black film” or “Müller-Rudin-Membrane”) brought evidence of single pore-like structures being involved in conductance changes in membranes (16). However, this could not be applied to biological membranes of living cells. The methods available in the 1960’s and 1970’s were not suited for recordings of currents in living cells as background noise levels were very high. Katz and Miledi (1972) used the method of noise analysis to provide further information about ion conductance by analyzing the properties of nicotinic acetylcholine receptors at the neuromuscular junction (20). However, their experiments were based on the measurement of a large number of channels and could not deliver detailed information about the function of single ion channels. The major limitation preventing detailed measurements of single-channel currents in excitable cells was the background electrical noise which in conventional methods was about 100 times higher than the current through a single ion channel. Glass micropipettes had already been used since 1919 (31) for current measurements and cell stimulations, but were associated with a background noise of at least 100 pA. In the 1970’s, Erwin Neher and Bert Sakmann made efforts to monitor single acetylcholine-activated channels in patches of frog skeletal muscle membranes by improving the use of glass micropipettes. They first treated the surface of denervated muscle fibres enzymatically in order to be able to place the tip of the micropipette - 19 - directly onto the cell membrane’s surface. The process of denervation garanteed that acetylcholine channels would be dispersed all over the muscle fibre. Yet, the seal resistances at the beginning were only about 10-20 megaohm and thus still too low to decrease leakage and background noise enough to get good recordings. By reducing the size of the pipette tip even further and by optimizing the tip’s shape, Neher and Sakmann finally managed to record square pulses which could be interpreted as signals of single acetylcholine channels. However, the pipette-to-membrane seal still had quite a low resistance (megaohms), not permitting the recording of smaller and shorter signals of other channel types. The amplitude of the different signals varied significantly allowing only partial recording of channel signals. Almost by chance, Neher and Sakmann noticed that by applying slight suction with a cleaned and smooth micropipette onto a clean membrane surface the seal suddenly ranged in the gigaohms (33). This seal – the so-called “gigaseal” – highly reduced the background noise. From this point onwards, the gigaseal allowed reliable high resolution recordings of all kinds of channels by providing electrical stability and a tight mechanical connection between the pipette and the membrane surface. In the following years, the patch clamp method became fundamental for the discovery of many ion channel families. The physical explanation for the so-called gigaseal has not been given until today. The cell membrane is attached very tightly to the tip of the glass micropipette allowing several variations of the initial technique settings without ever loosing the tight contact between the micropipette and the membrane (see Figure 4). Generally, cell-attached configurations can be distinguished from excised membrane patches. In the cell-attached configuration, the tip of the micropipette is placed with slight suction tightly onto the cell membrane in order to achieve the gigaseal. The cell membrane remains intact under the micropipette so that all intracellular functions are not altered. Also, the cell’s resting potential is not altered except directly in the area under the micropipette where the potential can be controlled via the amplifier. - 20 - Figure 4. Schematic diagram of different patch clamp configurations. By creating a high resistance seal (“gigaseal”) cell-attached configuration is established. By suction the membrane area under the micropipette is ruptured and an electrical connection to the interior of the cell can be achieved. This configuration is named “whole-cell recording”. Diagram from Hamill et al. (13). In the inside-out configuration, the cytoplasmatic surface of the membrane is exposed to the external bath solution. Starting with the cell-attached configuration, the pipette is slowly pulled away from the cell surface until a piece of the membrane will disconnect from the cell without influencing the seal resistance. In a similar manner, - 21 - the outside-out configuration is achieved starting out with the whole cell configuration (see below). The inside of the micropipette is now connected with the inner surface of the membrane and the bath solution corresponds to the extracellular area. With this configuration ligand-gated channels can be analyzed easily by applying substances from the extracellular side of the membrane to the patch. Today, the whole-cell configuration is the most widely used technique of the patch clamp method. To achieve the whole-cell configuration, the membrane in the cell-attached configuration is ruptured under the micropipette by slight suction or short voltage transients. The gigaseal must remain intact after rupturing the membrane in order to allow the measurement of currents from the whole interior of the cell. The intracellular side of the cell is connected directly with the micropipette, quickly bringing the internal solution of the micropipette into equilibrium with the interior of the cell. The main components for the experimental setup for the patch clamp technique will be described in the following section. An inverse microscope is needed to study cultured cells consisting of one single layer. In this case, the object lens point upwards so that the cell preparation is observed from underneath. In this way, more space is left above the cell plate to place the micropipette, the perfusion system as well as other apparatus. The table holding the cell plate must be fixed in order to allow for better control of the pipette micromanipulator. To focus onto the cell preparation, the object lens must be moved in relation to the table. The apparatus must be placed onto a special table which attenuates vibrations from the environment. To reduce background noise caused by the electromagnetic field (∼ 50 Hertz), a faraday cage should surround the apparatus. A micromanipulator guarantees exact and stable placing of the micropipette onto the cell membrane surface. The function principle of the micromanipulator may be either mechanical, hydraulic or electrical. To apply substances to the bath solution, a stable pipette holder combined with an amplifier and a perfusion system are required. The electronical components of the - 22 - patch-clamp setup mainly consist of the headstage, the main amplifier, a low pass filter as well as an AD/DA converter. The principle of voltage clamp allows to hold the membrane potential stable at a certain level. This can be achieved by creating a compensatory current which corresponds exactly to the current across the cell membrane, but flowing in the counterwise direction. By a negative feedback mechanism, the membrane potential is measured and compared to the reference voltage. If there is a difference between the actual membrane and the reference potential, a current will flow into the cell in order to compensate this difference. This compensatory current can be measured with the patch-clamp technique. Thus, one can determine the membrane conductance which is associated directly with the activity of ionic channels. The headstage is fundamental for the control of the membrane potential and to measure the compensatory currents. Essentially, the headstage is a current-to-voltage converter with a high gain (operational amplifier or OPA) and a feedback resistor. The OPA measures at its entrance into the cell the voltage of the pipette as well as the reference voltage given by the experimenter. If there is a difference between these two voltages, this difference will be amplified with a high gain at the exit of the OPA, creating a current that will flow through the feedback resistor to compensate voltage difference. This current will only flow into the pipette because the resistance at the entry of the OPA is very high. The current will persist until the pipette potential and the reference potential are equalized. 3.4. Electrophysiology and Data Acquisition. Sodium currents were recorded with the whole-cell configuration of the patch-clamp technique at room temperature ranging from 21 to 23°C (13). For experiments, holding potential was stabilized at –140 mV. For experiments with ND7-23 cells, 200 nM tetrodotoxin was added to solutions in the glass perfusion system to block TTXsensitive sodium currents constitutively expressed in this cell line. Patch pipettes were pulled from borosilicate glass tubes (TW150F-3, World Precision Instruments, - 23 - Sarasota, FL) and heat polished at the tip to give a resistance of 1.0-1.6 MΩ when filled with internal solution. Cells were dialyzed for 10 to 20 minutes to equilibrate with the pipette solution before data were acquired. Whole cell sodium currents were recorded with Axopatch 200 B amplifier (Axon Instruments, Union City, CA), filtered at 5 kHz and sampled at 20 kHz. All experiments were conducted during capacitance cancellation and series resistance compensation of 60-70%. To acquire and analyze currents, Clampex 8.1 software (Axon Instruments) was used. Curve fitting was performed by Origin 6.1 software (OriginLab Corp., Northampton, MA). 4. RESULTS 4.1. Comparison of Tolperisone and Lidocaine Action on µ1 Wild-Type Na+ Channels. In this study we aimed at a detailed comparison between the tolperisone and lidocaine block of Nav 1.4 wild-type channels. We therefore initially assessed concentration dependence of block of resting Nav 1.4 channels by tolperisone (Fig. 5A) and lidocaine (Fig. 5B). From a holding potential of -140 mV, test pulses to + 50 mV were delivered to determine the block of resting Nav 1.4 channels. The IC50 values for the block by tolperisone (A) and lidocaine (B) were 143.7 ± 3.6 µM and 528 ± 26 µM, respectively. The IC50 value for tolperisone is therefore ~ 3.7-fold higher than that of lidocaine. The Hill coefficients were close to unity which suggests a single binding site for tolperisone as well as for lidocaine in Nav 1.4 wild-type channels. Consecutively, we analyzed fast inactivation of Nav 1.4 wild-type channels in the presence of equipotent doses of tolperisone and lidocaine. By referring to the previously assessed concentration-inhibition experiments (Fig. 5A and 5B), we found 100 µM tolperisone and 300 µM lidocaine to be approximately equipotent concentrations. We used a standard two-pulse protocol to determine voltage- - 24 - dependence of fast inactivation. Conditioning prepulses of 100 ms duration were applied between -160 and -15 mV with steps of 5 mV before sodium currents were evoked by a 5-ms test pulse to + 50 mV. Holding potential was -140 mV and pulses were delivered at 15-s intervals. The experiments yielded V0.5 values of -79.6 ± 0.1 mV for tolperisone and 85.7 ± 0.1 mV for lidocaine. These V0.5 values showed no statistically significant difference. Finally, we determined the recovery time course from the block evoked by tolperisone and lidocaine, respectively. We measured currents in the absence of drugs and in the presence of 100 µM tolperisone (Fig. 5E) or lidocaine, respectively (Fig. 5F). These currents recovered from a 10-s prepulse to -70 mV with fast (T1) and slow time constants (T2). In the presence of 100 µM lidocaine, a large fraction of the current recovered with a fast time constant of 6.5 ± 1.4 ms and a smaller fraction with a slow time constant of 0.20 ± 0.01 s. However, in the presence of 100 µM tolperisone the recovery time course changed significantly: a small fraction of the current (25%) recovered with a fast time constant of 2.9 ± 0.7 ms while a greater fraction (73%) recovered with a slow time constant of 1.3 ± 0.1 s. - 25 - Figure 5. Comparison of the block of rat skeletal muscle Nav 1.4 channels by tolperisone and lidocaine. (A, B) Concentration dependence of the block of resting Nav 1.4-WT channels by tolperisone and lidocaine. To characterize the block of resting channels, test pulses up to +50 mV were applied at 30-s intervals to evoke sodium currents. Holding potential was –140 mV. Sodium currents - 26 - were measured in different drug concentrations (A, tolperisone; B, lidocaine), normalized with respect to the peak amplitude in control, and plotted against the drug concentration. Solid lines represent fits to the data with the Hill equation. Hill coefficients are given in the diagram. (C, D) Fast inactivation of µ1 wild-type sodium channels in the presence of tolperisone and lidocaine. Sodium currents were evoked by a 5-ms test pulse to +50 mV after 100-ms conditioning prepulses between –160 and –15 mV in 5 mV increments. Pulses were delivered at 15-s intervals. Holding potential was –140 mV. Sodium currents were measured in control and in the presence of 100 µM tolperisone (C) or 300 µM lidocaine (D). Control currents were normalized to the current with a prepulse to –160 mV. Currents measured in the presence of 100 µM tolperisone or 300 µM lidocaine were normalized to the current obtained in control with the corresponding prepulse potential. Solid lines represent fits of the data to a Boltzmann equation. V0.5 is the voltage at which 50 % of channels are inactivated and k is the slope factor. (E, F) Recovery from the block of inactivated µ1 wild-type Na+ channels by tolperisone and lidocaine. 10-s conditioning prepulses to –70 mV were applied from a holding potential of –140 mV. Recovery was determined by a 5-ms test pulse to +50 mV applied at various times after conditioning prepulse. Control currents (E, F; open circles) and currents in the presence of 100 µM tolperisone (E; filled circles) or 100 µM lidocaine (F; filled squares) were normalized to the peak amplitude of the test pulse obtained after 50-s recovery time. The data were best fitted by the sum of two exponentials (solid lines). Fast (T1) and slow time constants (T2) are given in the diagram. 4.2. Block of Mutant Nav 1.4 Channels by Tolperisone. To determine whether tolperisone shares a common receptor site on voltagedependent sodium channels with local anesthetics, we used site-directed mutagenesis (see Materials and Methods) to create lysine point mutations at positions N434, L1280 and F1579 in amino acid sequence of rat skeletal muscle Nav 1.4 channel. These point mutations are known to be critical for LA binding affinity, especially in the depolarized state of the channel (25). We compared the tolperisone voltagedependent block of the mutants F1579K (Fig. 6E), L1280K (Fig. 6F), and N434K (Fig. 6G) with that of wild-type Nav 1.4 channels (Fig. 6D). To characterize both resting and inactivated channels, we used a two-pulse protocol with 10-s conditioning prepulses varying from -180 mV to -50 mV (Fig. 6C). Experiments were assessed for mutant and wild-type channels in the absence of drug and in the presence of 100 µM tolperisone. 100 µM tolperisone blocked approximately 33% of Nav -1.4 wild-type - 27 - channels at hyperpolarized prepulse voltages below -150 mV and approximately 82% of Na+ currents by reaching a steady-state level at depolarized prepulse voltages above -90 mV (Fig. 6D). However, the block of tolperisone of mutant Nav 1.4F1579K channels (Fig. 6E) showed a highly reduced binding affinity at depolarized prepulse voltages with approximately only 50% of channels being blocked at prepulse voltage of -50 mV. In a similar manner, the block of tolperisone of mutant Nav L1280K (Fig. 6F) and Nav N434K (Fig. 6G) was reduced at depolarized prepulse voltages. In mutant Nav L1280K channels tolperisone block of the inactivated state showed almost no difference to the block of resting state. Also in mutant Nav-N434K channels tolperisone block of inactivated channels at depolarized prepulse voltages was reduced compared to wild-type channels with approximately only 60% of channels being blocked. At depolarized prepulse voltages steady-state level was not reached, indicating that tolperisone does not have two distinguishable binding affinities in mutant Nav 1.4-F1579K, -L1280K and -N434K channels. This suggests that tolperisone interacts with the local anesthetic binding site of voltage-gated sodium channels. Moreover, tolperisone binding affinity in wild-type Nav 1.4 channels is low at hyperpolarized and high at depolarized prepulse voltages, showing that tolperisone binding with Nav 1.4 wild-type channels is highly voltage-dependent. - 28 - - 29 - Figure 6. Voltage-dependent block of Nav 1.4 wild-type and mutant Nav 1.4-F1579K, L1280K, and N434K channels by tolperisone. (A, B) Exemplary sodium currents of µ1 wild-type (A) and mutant µ1-F1579K (B) channels measured in control and in the presence of 100 µM tolperisone at a conditioning prepulse of –70 mV. The pulse protocol as shown in (C) was used. (D, E, F, G) A 10-s conditioning prepulse varying from –180 mV to –50 mV was applied, followed by a 100-ms interval at holding potential of –140 mV. A 5-ms test pulse to +50 mV was then delivered to evoke Na+ currents. The interval between pulses was 30 s. Control currents (open circles) were normalized to the current with a prepulse to –180 mV. Currents measured in the presence of 100 µM tolperisone (filled circles) were normalized to the current obtained in control with the corresponding prepulse potential. Solid lines represent fits of the data to a Boltzmann function. 4.3. Voltage-dependent Block of Nav 1.5 and Nav 1.8 Wild-Type Channels. To determine the voltage-dependent block of Nav 1.5 channels by 100 µM tolperisone, we used the same two-step protocol as shown in Fig. 6C. As previous studies have shown that sensory neuron specific Nav 1.8 channels exhibit different electrophysiological properties concerning activation and inactivation kinetics (28, 29), we varied the two-step protocol by inserting conditioning prepulse potentials ranging from -160 to -30 mV for assessing voltage-dependent block of Nav 1.8 channels by 100 µM tolperisone. At hyperpolarized prepulse voltages below -140 mV, tolperisone block of human cardiac Nav 1.5 channels (Fig. 7A) reached a steady state-level with approximately 40% of channels being blocked. 100 µM tolperisone blocked approximately 82% of Nav 1.5 channels by reaching a plateau at depolarized prepulse voltages above -90 mV. In the experiments with Nav 1.8 channels (Fig. 7B), a plateau was reached at hyperpolarized prepulse voltages below -140 mV with approximately 43% of channels being blocked. In comparison to Nav 1.4 and Nav 1.5 channels (Fig. 6D and Fig. 7A, respectively) where a plateau was reached at depolarized prepulse voltages above -90 mV, tolperisone block of Nav 1.8 channels only reached a steady-state level at depolarized prepulse voltages above – 50 mV with approximately 82% of channels being blocked. - 30 - 4.4 Inactivation Kinetics of Nav 1.8 Channels and Recovery from Block by Tolperisone. To characterize the inactivation properties of Nav 1.8 channels in the presence of 100 µM tolperisone, we applied a two-step protocol with conditioning prepulses varying from -120 to +40 mV. The midpoint potential of inactivation (V0.5) in the presence of tolperisone was -60.1 ± 0.8 mV and was thus shifted by 6.7 mV in the hyperpolarized direction in comparison to V0.5 in control. The slope factor k is given in Fig. 7C. We then assessed the recovery time course of Nav 1.8 channels from a block by 100 µM tolperisone (Fig. 7D). The channels recovered with fast (T1) and slow (T2) time constants of 20.4 ± 5.6 ms and 2.25 ± 0.17 s, respectively. Figure 7. (A, B) Voltage-dependent block of wild-type Nav 1.5 and Nav 1.8 sodium channels by tolperisone. Sodium currents were measured in control (open circles) and in the presence of 100 µM - 31 - tolperisone (filled squares). (A) Cells were conditioned by a 10-s prepulse varying from –180 to –50 mV. After a 50-ms interval at holding potential of –140 mV, a 5-ms test pulse to +50 mV was delivered to evoke sodium currents. (B) A 10-s conditioning prepulse, varying from –160 to –30 mV, was applied followed by a 100-ms interval at holding potential of –140 mV. Then, a test pulse as described before in (A), was delivered to evoke Na+ currents. In both diagrams (A) and (B) control currents were normalized to the current with a prepulse to –180 mV and –160 mV, respectively. Currents measured in the presence of 100 µM tolperisone were normalized to the current obtained in control with the corresponding prepulse potential. Solid lines represent fits of the data to a Boltzmann equation. (C) Fast inactivation of Nav 1.8 sodium channels in the presence of tolperisone. After a 100-ms conditioning prepulse ranging from –120 to +40 mV in 5 mV increments, sodium currents were evoked by a 5-ms test pulse to +50 mV. Pulses were delivered at 15-s intervals. Holding potential was –140 mV. Sodium currents were measured in control (open circles) and in the presence of 100 µM tolperisone (filled circles). Control currents were normalized with respect to the current obtained after a prepulse to –120 mV. Currents measured in the presence of 100 µM tolperisone were normalized to the current in control with the corresponding prepulse potential. Solid lines represent fits of the data to a Boltzmann equation. V0.5 represents the voltage at which 50 % of channels are inactivated. K is the slope factor. (D) Recovery of inactivated Nav 1.8 channels from block by tolperisone. From a holding potential of –140 mV, a 10-s depolarizing prepulse to –40 mV was applied to condition cells. Recovery was determined by applying a test pulse to +50 mV at various times after the conditioning prepulse. Currents were measured in control (open circles) and in the presence of 100 µM tolperisone (filled circles). The data were normalized to the amplitude of the test pulse obtained after 50-s recovery time. The data were best fitted by the sum of two exponentials. 4.5. State-Dependent Block of Nav 1.4, Nav 1.5 and Nav 1.8 Channels by Tolperisone. In concentration-inhibtion experiments, we characterized more precisely the potency of tolperisone action on the three sodium channel isoforms, namely the rat skeletal muscle Nav 1.4 (Fig. 8A), the human heart Nav 1.5 (Fig. 8B), and the sensory neuron specific Nav 1.8 (Fig. 8C) sodium channel. Based on the results from Fig. 6D and Fig. 7A, prepulse voltages of -140 mV and -70 mV were applied to characterize resting and inactivated Nav 1.4 and Nav 1.5 channels, respectively. For analysis of Nav 1.8 channels, prepulse voltages of -140 mV for resting and -40 mV for inactivated channels were used, based on the results of voltage-dependence experiments from - 32 - Fig. 7B. The IC50 values for resting Nav 1.4, Nav 1.5 and Nav 1.8 channels were 143.7 ± 3.6 µM, 164.1 ± 9.2 µM, and 173.5 ± 6.9 µM, respectively. For inactivated Nav 1.4, Nav 1.5 and Nav 1.8 channels IC50 values were 26.9 ± 4.1 µM, 27.0 ± 1.8 µM and 20.2 ± 1.9 µM. Figure 8. State-dependent block of Nav 1.4, Nav 1.5 and Nav 1.8 wild-type channels by tolperisone. To characterize block of resting channels (open squares), a test pulse to +50 mV was applied to evoke Na+ currents. Holding potential was stabilized at –140 mV. In order to characterize the inactivated state (filled squares), 10-s conditioning prepulses to –70 mV (Nav 1.4, Nav 1.5) or to –40 mV (Nav 1.8) were applied followed by a 100-ms interval at holding potential before a test pulse to +50 mV was delivered to evoke Na+ currents. Pulses were delivered at 30-s intervals. Na+ currents were measured in different drug concentrations and normalized with respect to the peak amplitude in control and plotted against the drug concentration. Solid lines represent fits to the data with the Hill equation. Hill coefficients are given in the diagrams. - 33 - For both resting and inactivated channels, 50% inhibitory concentrations showed no statistically significant difference. Tolperisone was 5.3 times, 6 times and 8.5 times more potent at depolarizing potentials than at hyperpolarizing potentials in Nav 1.4 channels, Nav 1.5 channels, and in Nav 1.8 channels, respectively. Hill coefficients were calculated for resting and inactivated channels and were close to unity for all three isoforms, suggesting that one tolperisone molecule is sufficient to block one voltage-gated sodium channel. Tolperisone thus blocks resting and inactivated Nav 1.4, Nav 1.5, and Nav 1.8 channels with similar 50% inhibitory concentrations and exhibits low affinity binding at hyperpolarized and high affinity binding at depolarized potentials in the three sodium channel isoforms analyzed. 4.6. Tolperisone and Lidocaine Block of Inactivation-deficient Nav 1.4-WCW sodium channels. Wild-type sodium channels open only very shortly (~ 0,5 ms) during depolarization before turning to the inactivated state. In order to directly assess open channel block by tolperisone and lidocaine, we used inactivation-deficient mutant Nav1.4-WCW channels. This channel exhibits three point mutations, namely L435W, L437C, and A438W, located at the COOH terminus of D1S6. In this mutation, inactivation occurs only minimally while peak current is maintained largely during the depolarization phase. The open channel block was therefore determined by applying a 50 ms test pulse to +50 mV with holding potential stabilized at –140 mV and interpulse intervals being 30 seconds. Peak currents at the beginning of the test pulse represent the resting channel block. We used various concentrations of tolperisone and lidocaine to create the dose-response curves shown in Figs. 9A and 9B (see next page). For tolperisone, IC50 values were 12.4 ± 0.9 µM and 93.8 ± 7.3 µM, for the open and resting channel block, respectively. For lidocaine, IC50 were 20.4 ± 1.1 µM for open channel block and 313.1 ± 16.1 µM for the resting channel block. - 34 - Figure 9. Block of inactivation-deficient Nav1.4-WCW channels by tolperisone and lidocaine. (A) Exemplary currents of Nav1.4-WCW channels at various tolperisone concentrations. (B, C) To create dose-response curves with tolperisone (B) and lidocaine (C), a test pulse to +50 mV was delivered for a duration of 50 ms with interpulse intervals being 30 seconds. Holding potential was stabilized at – 140 mV. An open channel block was obtained by measuring the current amplitudes at the end of the 50 ms test pulse to +50 mV. For resting channel block peak currents were measured at the beginning of the test pulse to +50 mV. Both were normalized to the highest current under control and then plotted against the drug concentration. Solid lines represent fits to the data with the Hill equation. (C) The decay phase of Na+ currents was fitted with a single exponential function. The corresponding time constant (τ) was inverted and plotted against the corresponding drug concentration. Data were fitted with a linear function y = kon ⋅ x + koff (solid line). Kon is the on-rate corresponding to the slope of the fitted line, Koff is the off-rate corresponding to the y-intercept. The equilibrium dissociation constant was determined by the equation KD = koff / kon. KD equalled 67 µM for tolperisone and 203 µM for lidocaine. - 35 - 5. DISCUSSION This study showed evidence for the following assumptions: (1) The effect of tolperisone on Nav 1.4 sodium channels is approximately four times stronger than lidocaine. (2) The three mutations of Nav 1.4 channel, F1579K, L1280K, and N434K, show a clear reduction in tolperisone affinity of inactivated channels, thus indicating that tolperisone interacts with the local anesthetic binding site of voltage gated sodium channels. (3) The tolperisone block of voltage gated sodium channels is highly state dependent and does not alter significantly between the Nav 1.4, Nav 1.5, and Nav 1.8 isoforms. Tolperisone is a potent blocker of voltage-gated sodium channels. Tolperisone has been described before to block voltage-gated sodium channels (15). Yet, there are few studies which explore thoroughly the molecular mechanisms of the interaction of tolperisone with sodium channels. In our study, we analyzed in detail how tolperisone affects voltage gated channel action. We could show that tolperisone is indeed a very potent voltage gated sodium channel blocker. In fact, compared to the local anesthetic lidocaine, the tolperisone tonic block of resting Nav 1.4 channels is approximately four fold stronger, with IC50 values for lidocaine of 528 ± 26 µM and for tolperisone 143.7 ± 3.6 µM. Recovery time course from block by tolperisone of µ1-channels also differs exceedingly from the lidocaine block. In the presence of lidocaine, a large portion of the current showed a fast recovery from inactivation of unblocked channels, whereas in the presence of tolperisone, the major portion (73%) showed a slow recovery. This reflects the slower dissociation of tolperisone from channels that were blocked during the conditioning prepulse. Within the amino acid sequence of voltage-gated sodium channels, the sites for local anesthetic binding have been studied in detail (26). We chose three mutations within the amino acid sequence of the Nav-channel, namely F1579K, L1280K, and N434K, - 36 - to analyze tolperisone interaction with the local anesthetic binding site. As already mentioned above (see introduction), the similar structure of lidocaine and tolperisone may lead to the conclusion that both drugs interact with the same molecular targets within the voltage-gated sodium channel (11). Our experiments showed that the tolperisone affinity of inactivated channels is significantly reduced in all three mutations. This new finding indicates that tolperisone indeed interacts with the putative local anesthetic binding site of voltage gated sodium channels. In concentration-dependence experiments we could show that the tolperisone block of sodium channels is clearly state dependent. This effect is well known for local anesthetics in general. We found that tolperisone blocks the inactivated state of Nav1.4-wild-type sodium channels more effectively than the resting state. By analyzing the block of mutant, inactivation-deficient Nav1.4-WCW channels we could demonstrate that the open channel block evoked by tolperisone is also stronger than the block of resting channels. Tolperisone shows no selectivity between skeletal muscle, cardiac and neuronal sodium channel isoforms. We could demonstrate that the state-dependent block of voltage gated sodium channel isoforms does not alter significantly. For resting state, 50% inhibitory concentrations of tolperisone were for the skeletal Nav 1.4 channel 143.7 ± 3.6 µM, for the cardiac Nav 1.5 channel 164.1 ± 9.2µM, and for the neuronal Nav 1.8 channel 173.5 ± 6.9 µM. The tolperisone block of inactivated Nav 1.4, Nav 1.5, Nav 1.8 channels also showed no significant difference with IC50 values being 26.9 ± 4.1 µM, 27.0 ± 1.8 µM and 20.2 ± 1.9 µM, respectively. The similar potency of tolperisone in different isoforms may on the one hand lead to undesired side effects such as on cardiac muscle, on the other hand it may also implicate that the clinical range of tolperisone is wider than originally expected with possibly new medical indications in the field of cardiac arrhythmias or epileptic disease. - 37 - Clinical aspects of tolperisone action. On a molecular basis, tolperisone has a potent effect on different isoforms of voltagegated sodium channels. This may indeed be a desired effect with respect to skeletal Nav 1.4 and neuronal Nav 1.8 channels, yet severe side effects can occur due to block of cardiac Nav 1.5 channels. The possible antiepileptic and antiarrhythmic effects of tolperisone through block of Nav 1.8 and Nav 1.5 channels, respectively, have to be discussed, too. Moreover, there is a clear discrepancy between the potent molecular action of tolperisone and the mild clinical effects being achieved, as tolperisone is only used as an adjuvant to pain therapy in most cases. It also does not exhibit cardiac side effects as one might expect on the basis of the experimental data. This can be explained by the fact that tolperisone does not reach concentrations high enough to achieve significant effects at the site of molecular targets in the body. 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Abkürzungsverzeichnis (alphabetisch) AMPA α-amino-3-hydroxy-5-methyl-4-isoxazolepropionic acid CA California CD cluster of differentiation cDNA complementary desoxyribonucleic acid DMSO dimethylsulfoxide e.g. exempli gratia EGTA ethylene glycol tetraacetic acid Fig Figure GABA gamma aminobutyric acid HEK human embryonic kidney HEPES N-2-Hydroxyethylpiperazine-N’-2-ethanesulfonic acid IC50 50 % inhibitory concentration kHZ kilohertz MA Massachusetts MAP mitogen activated protein mM millimolar ms millisecond mV millivolt MΩ Mega-Ohm - 44 - Nav voltage-gated sodium channel pH potentia hydrogenii PKA protein kinase A PKC protein kinase C TMA tetramethylammonium-hydroxide TNF tumor necrosis factor TTX tetrodotoxin V0.5 voltage at which 50 % of the channels are inactivated WDR wide dynamic range WT wild-type µM micromolar - 45 - 8. Danksagung Ein großer Dank gilt dem gesamten Team des Labors, das mich mit Rat und Tat über die Jahre immer unterstützt hat. Danke an meine Doktormutter für die fundierte, wissenschaftliche Unterstützung, die grundlegend war für das Gelingen dieser Arbeit. Danke auch dafür, dass ich die Materialen und Versuchsstände im Labor für die Experimente der Arbeit so problemlos nutzen konnte. Zuletzt möchte ich meinen Eltern und meinem Mann danken, die über die Zeit der Promotion eine große Stütze waren. - 46 - 9. Lebenslauf Persönliche Daten: Name Vorname Geburtsdatum/-ort Familienstand Eltern Ehemann Rohde, geb. Weigand Doris 02.12.1981 in Erlangen verheiratet Dr. Werner Weigand und Prof. Dr. Edda Weigand Dirk Rohde Schulbildung: 1987 - 1990 1990 - 1991 1991 - 1995 1995 - 1997 1997 - 1998 1998 - 2000 2000 Scharrer Grundschule, Nürnberg, 1.-3. Klasse Grundschule Giacomo Venezian, Trieste, 4. Klasse International School of Trieste, Italien, 5.-8. Klasse Pascal Gymnasium, Münster, 9.-10. Klasse Hebron Academy, Maine, USA, 11. Klasse Pascal Gymnasium, Münster, 12.-13. Klasse Abitur Studium: WS 2000/2001 – WS 2006/2007 Studium der Humanmedizin an der FriedrichAlexander-Universtität Erlangen-Nürnberg SS 2002 SS 2003 WS 2005/2006 SS 2006 – WS 2006/2007 SS 2007 Ärztliche Vorprüfung Erster Abschnitt der Ärztlichen Prüfung Zweiter Abschnitt der Ärztlichen Prüfung Praktisches Jahr Dritter Abschnitt der Ärztlichen Prüfung; Erlangen der Approbation Praktisches Jahr: Innere Medizin: Medizinische Klinik 3, FAU Chirurgie: Chirurgische Klinik, FAU Anästhesie: Anästhesiologische Klinik, FAU - 47 - Beruflicher Werdegang: Seit 01.07.2007 Ärztin in Weiterbildung an der Anästhesiologischen Klinik des Universitätsklinikums Erlangen Famulaturen: 14.07. - 29.07.2003 03.09. - 02.10.2003 10.03. - 26.03.2004 01.08. - 31.08.2004 01.03. - 31.03.2005 Promotion: Institut für Diagnostische Radiologie, FAU Klinik für Anästhesiologie und operative Intensivmedizin, Klinikum Nürnberg Medizinische Klinik 1, Clemenshospital, Münster Klinik für Anästhesie und Intensivmedizin, Allgemeines Regionalkrankenhaus Bozen, Italien Praxis Dr. med. B. Rohde, Allgemeinmedizin, Nürnberg Promotionsthema: „Effect of tolperisone on Nav1.4, Nav1.5, and Nav1.8 sodium channels” unter Leitung von Prof. Dr. Carla Nau, Anästhesiologische Klinik, Universität Erlangen-Nürnberg Weitere Kenntnisse/ Tätigkeiten: 1999 2000 12/2004 Teilnahme am Bundeswettbewerb Fremdsprachen, 3. Platz in den Sprachen Englisch, Italienisch und Französisch Teilnahme am Bundeswettbewerb Fremdsprachen, 2. Platz in den Sprachen Englisch und Italienisch Teilnahme am Palliativseminar, Klinik für Anästhesiologie, FAU - 48 - Seit 04/2004 Tätigkeit im Rettungsdienst als aktives Mitglied der Bergwacht Bayern 04/2005 DAC 2005, München: Posterpräsentation „Die Wirkung von Tolperison, einem oral applizierten Natriumkanalblocker zur Behandlung schmerzhafter Muskelverspannungen, auf muskuläre, kardiale und neuronale Natriumkanäle“ SS 2004 – WS 2006/2007 Studentische Hilfskraft am Institut für Experimentelle und Klinische Pharmakologie und Toxikologie der FAU, Tätigkeit als Tutorin im Seminar für Allgemeine Pharmakologie für Humanmediziner im 6. Semester
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