Clinical Psychopharmacology and Neuroscience 2020; 18(2): 214-218  
Lithium Stabilizes the Mood of Bipolar Patients by Depolarizing the Neuronal Membrane Via Quantum Tunneling through the Sodium Channels
Abdallah Barjas Qaswal
School of Medicine, The University of Jordan, Amman, Jordan
Correspondence to: Abdallah Barjas Qaswal
School of Medicine, The University of Jordan, Queen Rania Street, Amman 11942, Jordan
E-mail: qaswalabdullah@gmail.com ORCID: https://orcid.org/0000-0001-5419-4793
Received: July 2, 2019; Revised: August 13, 2019; Accepted: August 19, 2019; Published online: May 31, 2020.
© The Korean College of Neuropsychopharmacology. All rights reserved.

This is an Open-Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
Abstract
Objective: Lithium is used as first line in treating bipolar patients to stabilize their mood. However, the exact mechanism of lithium is not yet established. One of the proposed mechanisms is that lithium depolarizes the hyperpolarized neuronal membrane of bipolar patients bringing it back to the normal potential. On the other hand, the only way that lithium causes significant therapeutic depolarization is to have a membrane conductance that must be at least an order of magnitude higher than that for sodium but this is not achieved since both; lithium and sodium have the same conductance because the membrane channels are selective for them approximately by the same degree. So, this study aimed to explain how lithium could achieve higher conductance than sodium.
Methods: The idea of quantum tunneling through closed channels was used in a way to calculate the tunneling probability and the quantum conductance for lithium ions.
Results: It was found that lithium could achieve higher conductance than sodium because it has a smaller mass than sodium making lithium to have higher probability of tunneling and consequently higher conductance through channels and membrane.
Conclusion: Lithium tunneling model provides a reasonable explanation for the therapeutic depolarization effect of lithium. This model is experimentally testable to prove the tunneling effect of ions through the closed channels and to show the variations of quantum conductance between ions according to their mass.
Keywords: Quantum tunneling; Sodium channel; Lithium; Bipolar disorder; Membrane potential.
INTRODUCTION

Lithium is the drug of choice in treating bipolar patients and also to prevent relapses [1-4]. However, the mechanism of action of lithium is not yet established [5,6] but one of the proposed mechanisms to explain the therapeutic effects of lithium is that it depolarizes the neuronal membrane of bipolar patients [7] since it was shown that these patients have hyperpolarized membrane and lithium ions bring the membrane potential back to the normal by depolarization [8].

Lithium ions are cations (positive ions) [9] that can depolarize the neuronal membrane as sodium ions do in depolarization phase of action potential but this requires that the membrane conductance for lithium is at least an order of magnitude higher than the membrane conductance for sodium ions to induce a significant depolarization [7] which would be impossible since lithium and sodium ions have the same conductance through channels as they are selective for both cations by the same degree [10-12]. Accordingly, a different approach is needed to explain the significant depolarization effect of lithium ions; hence quantum mechanics might be able to explain that.

Quantum tunneling is quantum phenomenon in which small particles can pass through an energy barrier even though that their kinetic energy is less than the energy of that barrier [13]. Cations can tunnel through closed channels and induce depolarization as potassium ions do to cause well known clinical phenomenon called referred pain [14].

The aim of this study is to build a mathematical model of lithium ions tunneling through the closed sodium channels and to be used to explain how lithium ions could have a conductance higher than sodium conductance by more than an order of magnitude so that they can cause a significant depolarization in the neuronal membrane of bipolar patients.

METHODS

Mathematical Modeling of Lithium Tunneling through Sodium Channels

The therapeutic concentration of lithium is 0.6−1.2 mEq/L [15] with average value of 0.9 mEq/L. Lithium ions do not equilibrate passively because there is active transport of lithium ions from inside the cell to the outside making the lithium cell to plasma ratio around 4 [16].

Using these numbers and applying them on Nernst equation [17], diffusion potential of lithium can be calculated:

V Li ( millivolts ) = 61 × log [ Li + ] i [ Li + ] o V Li = 36 . 73 mV

This means to block net diffusion from inside the cell to the outside due to concentration gradient, voltage difference of 36.73 mV against the direction of lithium diffusion is needed. Besides, in this case, the concentration difference between inside and outside is 2.7 mEq/L and that means for plasma concentration of 0.9 mEq/L, a 12.24 mV is needed to stop lithium diffusion to the inside and for intracellular concentration of 3.6 mEq/L, a 48.97 mV is needed to stop Lithium diffusion to the outside.

Lithium ions coming from extracellular fluid (plasma) and passing through the sodium channels reaching the intracellular gate will have a kinetic energy (KEo ) due to the voltage difference of neuronal membrane of 65 mV and extracellular lithium ions concentration (12.24 mV) calculated by the following equation:

K E o = V × e

Where V is the voltage difference and in this case, V = 65 + 12.24 = 77.24 mV and e is the electron charge.

By substituting the values in equation (2), KEo = 1.24 × 10−20 J.

On the other hand, intracellular lithium ions have kinetic energy (KEi ) due to intracellular lithium ions concentration (48.97 mV) and it is calculated using equation (2) to be KEi = 0.78 × 10−20 J.

Voltage−gated sodium channels are sealed off by intracellular activation gate which is formed by crossing the S6 segments of the protein structure of channels preventing the permeation of sodium and lithium ions [18]. The energy needed to open the gate is 16.1 kcal/mole [19] = 11.19 × 10−20 J. It is obvious that the kinetic energy of intracellular and extracellular energy is less than the energy needed to open the gate and consequently, a quantum tunnelling probability can be calculated.

Alpha helix in the protein structure of the sodium channels has helical shape and is composed of turns and each turn has around 3.6 residues [20] with a length of 5.4 × 10−10 m which means 1.5 × 10−10 mfor each residue [21]. With average tilt angle 21° of alpha helix with the plane of neuronal membrane [22], the vertical length Lresidue which represents the length of energy barrier by one residue that lithium ions should tunnel through and is calculated as:

L residue = R sin θ

Where (R) is the length of one residue and θ is the average tilt angle, then Lresidue = 5.38 × 10−11 m.

The intracellular activation gate of sodium channels seals off the permeation of ions by 4 hydrophobic residues [23] and these 4 residues collectively represents the energy barrier for lithium tunnelling and that means the overall length L = 4 × 5.38 × 10−11 = 21.52 × 10−11 m. As said before the energy to open the gate is 11.19 × 10−20 J but this energy must be divided along the length of the barrier because this energy represents the overall energy to open the gate. Additionally, when dividing the barrier into (n) parts, the length of the barrier will be divided into ΔL = L/n, and the energy of each part U= 11.19 × 10−20/n ensuring that U is still higher than kinetic energy (KE) and the difference (UKE) is higher than the uncertainty in the kinetic energy ΔKEcalculated from the equation of the uncertainty principle for Heisenberg as the following:

Δ P × Δ L ħ then : Δ KE ħ 2 n 2 2 mL 2

Where m is the mass of lithium ion and ħ is reduced Planck constant.

So, the barrier should be divided into (n) parts in a way that U > KE and ( U > KE ) ħ 2 n 2 2 mL 2 . Regarding the tracellular lithium, the limit for (n) value for the first condition (U > KE) is n < 9.024 which means any value equals or more than 9.024 is not valid, on the other hand if n = 8.9 is substituted, ΔKE ≥ 0.082 × 10−20 J and (UKE) = 0.0173 × 10−20 Jwhich means the second condition ( ( U - KE ) ħ 2 n 2 2 mL 2 ) is not met, as a result n = 8.9 is not valid.

The goal is to choose the largest valid value for (n) that meets the previous two conditions, so as an estimation n= 8.5 can be chosen.

When n = 8.5, U= 1.32 × 10−20 J, ΔL = 2.53 × 10−11 m and KEo = 1.24 × 10−20 J, the probability (Tp ) of tunneling through ΔLof the barrier can be calculated by the following equation:

T p = e 2 Δ LK Where K = 2 m ( U - KE ) ħ

By substituting all the values of the variables in the equations (5) and (6), Tp = 0.126 and since lithium ion must tunnel all the parts of the barrier, the overall probability Tt = Tp 8.5 = 2.26 × 10−8.

Applying the same calculations on intracellular lithium and by choosing approximately the most appropriate (n) value to be 12, U = 0.93 × 10−20 J, ΔL = 1.79 × 10−11 m, KEi = 0.78 × 10−20 J, consequently the tunneling probability (Tp ) through a part of the barrier ΔL equals 0.135 and the total probability to tunnel through the entire barrier will be 3.66 × 10−11.

RESULTS

Calculating the Quantum Membrane Conductance of Lithium

Lithium ions can tunnel through the gate of sodium channels; as a result a tunneling electric current through the channels is produced. However, the neuronal membrane is not fully embedded by sodium channels and that means the probability of lithium ions to hit the sodium channels should be calculated by the following equation:

T h = A pore × D channels

Apore is the pore surface area of the sodium channels and it is calculated by this equation A = πr 2 where r is the radius of the pore and it is on average 2 × 10−10 m [17] and Dchannels is the density of voltage-gated channels in the neuronal membrane which is 12,000 channels/mm 2 [24]. This finally will give a probability of lithium ions to hit these channels with a value of 1.51 × 10−3. This means that when the tunnelling electric current is calculated, an overall probability (TC ) of tunneling probability (Tt ) and probability of hitting the channels (Th ) must be considered:

T c = T t × T h

For extracellular lithium, Tc = 3.4 × 10−11 and for intracellular lithium, Tc = 5.53 × 10−14

Tunneling electric current density (amp/m2) can be calculated [13] by:

I = e 2 VK 4 π 2 L ħ T c

Where e is the electron charge, V is the voltage difference across the gate of the channel, K is given in equation (6). Tc is given in equation (8), L is the length of the entire barrier and ħ is reduced planck constant.

Furthermore, by substituting the equation (9) in the equation of conductance (C = I / V) the sodium channel conductance for lithium ions due to quantum tunnelling (Quantum Conductance) is given by the following equation:

C QLi = e 2 K 4 π 2 L ħ T c

Quantum conductance for extracellular lithium CQLi (o)= 4.0 × 104 mho/m 2 and for intracellular lithium CQLi (i)= 88.48 mho/m 2.

Finally, quantum conductance through the neuronal membrane must be calculated by the following equation:

C MLi = C QLi × A pore × D channels

For extracellular lithium ions, CMLi (o) = 6.03 mmho/cm 2 and for intracellular lithium CMLi (i) = 0.013 mmho/cm 2.

DISCUSSION

Quantum conductance of extracellular lithium equals 6.03 mmho/cm2 which is 150 times higher than the conductance of sodium (see the values below). On the other hand, the quantum conductance of intracellular lithium equals 0.013 mmho/cm2 which is around 3 times less than the conductance of sodium ions. According to that, the neuronal membrane favors more extracellular lithium to get inside than intracellular lithium to get outside and that means a net result of depolarization effect occurs.

To show the depolarization effect mathematically, the resting membrane potential should be calculated before and after adding lithium using Goldman−Hodgkin-Katz equation [17]:

V ( mV ) = - 58 × log C K + [ K + ] i + C Na + [ Na + ] i + C Cl - [ Cl - ] o C K + [ K + ] o + C Na + [ Na + ] o + C Cl - [ Cl - ] i

Where V is the resting membrane potential, C is the conductance (the permeability) for the ions, [ ] o is extracellular concentration of ions, and [ ] i is intracellular concentration of ions.

Substituting the following values for giant squid axons at 18°C [25,26] in equation (12):

C K + : C Na + : C Cl - = 1.00 : 0.04 : 0.45 [ K ] i : [ Na ] i : [ Cl ] i = 400 : 50 : 40 [ K ] o : [ Na ] o : [ Cl ] o = 20 : 440 : 560

V = −62 mV (before adding lithium)

By adding lithium to equation (12), it becomes:

V ( mV ) = - 58 × log C K + [ K + ] i + C Na + [ Na + ] i + C Cl - [ Cl - ] o + C MLi + ( i ) [ Li + ] i C K + [ K + ] o + C Na + [ Na + ] o + C Cl - [ Cl - ] i + C MLi + ( o ) [ Li + ] o

Extracellular lithium concentration to extracellular sodium concentration ratio is approximately [7] 0.6 × 10−2 and in case of giant squid axon, extracellular lithium concentration would be 2.64 mEq/L and consequently, intracellular lithium would be 10.56 mEq/L (as mentioned before that the ratio in between is 4). By substituting lithium concentrations and their permeabilities obtained in results section, V = −56 mV (after adding lithium).

It is obvious that lithium can depolarize the neuronal membrane because it can achieve a conductance higher than that for sodium. Lithium has a mass less than that for sodium making the tunneling probability and consequently the quantum conductance higher because the tunneling probability is inversely related to the mass of the particle.

Lithium tunneling model provides a reasonable explanation for the therapeutic depolarization effect of lithium. This model is experimentally testable to prove the tunneling effect of ions through the closed channels and to show the variations of quantum conductance between ions according to their mass.

Conflicts of Interest

No potential conflict of interest relevant to this article was reported.

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