Abstract
We examine the qualitative properties of ionic flows through membrane channels via Poisson–Nernst–Planck (PNP) type models with steric effects under relaxed electroneutrality boundary conditions, and more realistic setups in the study of ion channel problems. Of particular interest are the vital roles played by some critical potentials identified for both individual fluxes and current–voltage relations. These critical potentials split the whole electric potential interval into different subintervals, over which distinct dynamics of ionic flows are observed. The discussion provides an efficient way to control the boundary conditions to observe distinct dynamics of ionic flows through membrane channels. This is important for future analytical studies and critical for future numerical and even experimental studies of ion channel problems.
MSC:
34A26; 34B16; 34D15; 37D10; 92C35
1. Introduction
Ion channels, large proteins embedding in cell membranes, play a significant role in the exchange of ion species between cells and surroundings [1,2,3,4,5]. For example, a type of calcium channel located in the fungi’s mitochondria controls the process of ATP synthesis, the transportation of calcium and apoptosis [6]. For human beings, ion channels are also crucial to cell functioning. For instance, sodium and potassium channels are widely distributed in neurons and cardiac tissues. They are responsible for the sharp switch between the action and resting potentials when the stimuli propagate through the corresponding cells. In muscle cells, a group of ion channels cooperate to trigger muscle contractions [7]. On the other hand, malfunctioning channels result in many intractable diseases such as cholera and Alzheimer’s [8]. Therefore, exploring the working mechanisms of ion channels is not only promising in theoretical studies but has many practical meanings in disease treatment. The two main subjects related to ion channels, the structure of ion channels and the properties of ion flow, are the primary concerns in ion channel research. Once the structure is provided, the main research direction for open ion channels is to analyze their electric diffusion characteristics.
Ion flow follows the basic physical laws of electric diffusion. The macroscopic characteristics of ions passing through membrane channels depend on external driving forces, mainly boundary potential and concentration [9,10], as well as specific structural features [11,12]. These structural features include factors such as pore shape and size. Permeability and selectivity are two important biological properties of ion channels, which can be characterized by experimentally measuring the current–voltage (I–V) relationship under different ionic conditions.
The PNP system, as a basic macroscopic model for electrodiffusion of charges, particularly for ionic flows through ion channels ([13,14,15,16,17], etc.), can be derived, under various reasonable conditions, from the more fundamental models of the Langevin–Poisson system ([18,19,20,21]) and the Maxwell–Boltzmann equations ([9] and the references therein), and from variational analysis ([11,22,23,24]). The classical PNP system is the simplest PNP system, which has been extensively studied both numerically ([13,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39]) and analytically ([3,10,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56,57,58,59,60,61,62,63,64,65,66,67,68,69,70]). Particularly, in [70], the authors employed the method of matched asymptotic expansions to study the I–V relations and obtained the I–V relation up to the second order in the small singular parameter (see (6) for definition), which is a cubic function of the potential V that has three distinct real roots. The observation is consistent with the cubic-like feature of the average I–V relation of a population of channels in the FitzHugh–Nagumo simplification of the Hodgkin–Huxley model. In [42,48,65], the authors focused on the small permanent charge effects on ionic flows. Viewing the small permanent charge as a regular parameter, in the discussion of regular perturbation, the authors found that to optimize the effects of (small) permanent charge, the channel neck within which the permanent charge distributes should be “short” and “narrow”. This observation is consistent with the typical structure of an ion channel.
However, a major weak point of the classical PNP is that it treats ions as point charges and ignores ion-to-ion interaction, which is reasonable only in near-infinite dilute situations. A lot of critical properties of ion channels rely heavily on ion sizes. The effects of finite ion size on ionic flows play key roles in the study of the selectivity of ion channels. The PNP system with finite ion size effects has been investigated computationally ([11,22,23,24,71,72,73,74,75,76], etc.) and analytically ([77,78,79,80,81,82,83,84,85,86]) for ion channels.
We focus on the quasi-one-dimensional PNP system first proposed by [36],
where is the normalized coordinate along the channel axis, and denotes the cross-sectional area at point X. e is the elementary charge, is the Boltzmann constant, and T is the absolute temperature. The electric potential is represented by , while denotes the permanent charge of the channel. is the relative dielectric coefficient, and is the vacuum permittivity. For the i-th ion species, represents the concentration, is the valence, is the electrochemical potential, is the flux density, and is the diffusion coefficient.
For a solution of the PNP system (1)–(2), the total current, , through a cross-section is defined as
which is the well-known current–voltage (I–V) relation.
We further point out that the electrochemical potential in (1) consists of two components: the ideal component and the excess component :
where the ideal component is defined by
with being a characteristic number density. The PNP system, considering only the ideal component, is known as the classical PNP, and its major weak point in studying ionic flow properties is discussed above. To better understand the mechanism of ionic flows through membrane channels, one should consider the excess component. A strategic first step is to include hard-sphere potentials of the excess electrochemical potential in the PNP system. In this work, we consider the following Bikerman’s local hard-sphere model ([87]) accounting for finite ion size effects on ionic flows
where is the volume of the j-th ion species.
The rest of this paper is organized as follows. In Section 2, we set up our problem, briefly recall some results from [88], which is the starting point of our study, and describe the mathematical method to be employed. Section 3 consists of four subsections. Section 3.1 provides the finite ion size effects on the individual fluxes; Section 3.2 deals with the finite ion size effects on the I–V relations; Section 3.3 provides orders of the critical potentials identified in Definition 1 while the boundary layer effects on ionic flows are characterized in Section 3.4. Concluding remarks are provided in Section 4.
2. Problem Setup, Existing Results and Mathematical Methods
The current work is an extension of the one conducted in [88]. To get started, we set up our problem and briefly introduced some existing results from [88].
2.1. Assumptions and a Rescaling of the PNP System
In our following analysis, we assume
- (i)
- Two ion species with and included in the PNP system;
- (ii)
- The permanent charge is zero over the whole interval: ;
- (iii)
- The electrochemical potential consists of the ideal component and the local hard-sphere potential in (5);
- (iv)
- The relative dielectric coefficient and the diffusion coefficients are constants, that is, and .
2.2. Some Existing Results
We now introduce some existing results obtained in [88], which will be our starting point in the current work. The authors in [88] treat the system as a regular perturbation of the case with . With and for the positive parameter , the approximations of the I–V relation are obtained and stated as follows
where
with . Here,
where
with and given by
where
Remark 1.
In our analysis, we take over the whole interval since it does not affect the qualitative properties of ionic flows (see [89] for a reasoning).
2.3. Mathematical Methods
Our main focus is on the study of the dynamics of ionic flows under relaxed electroneutrality boundary concentration conditions. More specifically, we suppose
where are some constant parameters. Note that implies electroneutrality conditions (see [49] for detailed explanation). The relaxation of the neutral conditions immediately produces boundary layers for the PNP system, which has important effects on the qualitative properties of ionic flows through membrane channels ([63,69,77,86,89]). To characterize these effects from boundary layers, we employ regular perturbation analysis, more precisely, we treat as a group of regular perturbation parameters, and expand both the individual fluxes and the I–V relations along up to the first order, and ignore higher order terms. Our main interest is in the first-order terms containing boundary layer effects.
To be specific, we expand and at , from which the expansions for and follows from Equation (9). To get started, we introduce
Then,
where
To end this section, we point out that in our analysis detailed in Section 3, we further assume that
3. Results
To get started, we define six critical potentials that play significant roles in examining the impacts of boundary layers on ionic flows.
Definition 1.
We introduce six critical potentials , , , , and by
Particularly,
3.1. Finite Ion Size Effects on the Individual Fluxes
We focus on the analysis of the effects on the individual fluxes from finite ion sizes, which consists of two directions: the sign of and relative ion size effects.
3.1.1. Signs of
As a linear function in the potential V, the sign of , where , plays a crucial role in characterizing the impact of finite ion size on individual fluxes. From the Equation (10), one has
With , from (12), we have the following:
Here, where
We point out that corresponds to and corresponds .
Note that . We have the following results:
Lemma 1.
For , we have
- (i)
- For :
- (i1)
- If , then for .
- (i2)
- If , there is a unique point so that for and for .
- (ii)
- For :
- (ii1)
- If , then is negative for all .
- (ii2)
- If , there is a unique so that for and for .
- (iii)
- For and , there exists a unique point such that for and for .
- (iv)
- For and , there exists a unique such that for and for .
Proof.
We will just focus on the proof of the first statement. Others can be discussed in a similar way. For convenience, we further assume that , then, . The case with , which implies that can be discussed similarly. Direct calculation gives
Note that and for all , which indicates that is increasing in x for .
Notice that One has It follows that for . Hence, one has decreasing in x for .
- (i1)
- If , one has , and hence, for . Taking into account , one has and for .
- (i2)
- If , one has . Therefore, the function has a unique zero . Furthermore, on and on . Together with , there is a unique zero, , of such that for and for . Hence, decreases for and increases for , recall that and . There exists a unique root such that for and for .
This completes the proof. □
We now turn to the discussion of the sign of .
Lemma 2.
Assume that and . One has
- (i)
- For ,
- (i1)
- If , then .
- (i2)
- If , then the equation has a unique root such that for and for .
- (ii)
- For and , then equation has a unique root such that for and for .
Proof.
We will provide a proof for the cases with . The case with can be argued similarly. From (13), direct calculation gives
Note that . One has and . It is easy to check that has a unique positive root, say given by
For , one has . Therefore, for , which implies that is decreasing for . Note that
- (i1)
- For , one has . Therefore, for . Together with the fact that , one has and for .
- (i2)
- For , there exists a unique root of , such that for and for . This implies that is decreasing for and increasing for . Note that . There is a unique root, , of , such that for and for . Note also that . A similar argument leads to the conclusion that there exists a unique root, , of , such that for and for .
□
From Definition 1 and Lemma 2, one has
Theorem 1.
Suppose , and small. Then,
- (i)
- For , and , one has while . Moreover,
- (i1)
- if (resp. if ), that is, the ion size reduces (resp. enhances) the individual flux if (resp. ).
- (i2)
- if (resp. if ), that is, the ion size enhances (resp. reduces) the individual flux if (resp. ).
- (ii)
- For , and , one has whlie . Furthermore,
- (ii1)
- if (resp. if ), that is, the ion size enhances (resp. reduces) the individual flux if (resp. ).
- (ii2)
- if (resp. if ), that is, the ion size reduces (resp. enhances) the individual flux if (resp. ).
- (iii)
- For , , one has whlie . Furthermore,
- (iii1)
- if (resp. if ), that is, the ion size reduces (resp. enhances) the individual flux if (resp. ).
- (iii2)
- if (resp. if ), that is, the ion size enhances (resp. reduces) the individual flux if (resp. ).
- (iv)
- For , and , one has while . Furthermore,
- (iv1)
- (resp. ) if (resp. ), that is, the ion size enhances (resp. reduces) the individual flux if (resp. ).
- (iv2)
- (resp. ) if (resp. ), that is, the ion size reduces (resp. enhances) the individual flux if (resp. ).
- (v)
- For , and , one has while . Furthermore,
- (v1)
- (resp. ) if (resp. ), that is, the ion size enhances (resp. reduces) the individual flux if (resp. ).
- (v2)
- (resp. ) if (resp. ), that is, the ion size reduces (resp. enhances) the individual flux if (resp. ).
3.1.2. Relative Ion Sizes Effects
We now characterize the relative ion size effects in terms of , on . Specifically, We study the sign of , which is given by, with ,
where
For , one has
Lemma 3.
Suppose .
- (1)
- For with , one has if .
- (2)
- For , has a unique root , such that (resp. ) if (resp. ).
It follows that
Theorem 2.
Assume that and . One has
- (i)
- If with , one has , and . Moreover,
- (i1)
- decreases (resp. increases) in λ for (resp. ).
- (i2)
- increases (resp. decreases) in λ for (resp. ).
- (ii)
- If with , and , one has and . Moreover,
- (ii1)
- decreases (resp. increases) in λ for (resp. ).
- (ii2)
- increases (resp. decreases) in λ for (resp. ).
- (iii)
- If with , and , one has , and . Moreover,
- (iii1)
- increases (resp. decreases) in λ for (resp. ).
- (iii2)
- decreases (resp. increases) in λ for (resp. ).
Remark 2.
From [88], under electroneutrality boundary conditions, one always has
- while ;
- while .
However, with relaxed neutral boundary conditions, as stated in Theorems 1 and 2, and can be negative while and can be positive. Clearly, richer dynamics of ionic flows under relaxed neutral conditions are observed. This also demonstrates the key role played by the boundary layers in the study.
3.2. Finite Ion Size Effects on the I–V Relations
The effects on the I–V relations from finite ion sizes follow directly from Lemmas 2 and 3, and Equation (9).
Theorem 3.
Assume and and small.
- (i)
- For and ,
- (i1)
- If , then, . Furthermore, if (resp. if ), that is, the ion size reduces (resp. enhances) the current if (resp. ).
- (i2)
- If , then . Furthermore, if (resp. if ), that is, the ion size enhances (resp. reduces) the current if (resp. ).
- (ii)
- For , , one has . Furthermore, if (resp. if ), that is, the ion size reduces (resp. enhances) the current if (resp. ).
- (iii)
- For and ,
- (iii1)
- If , then . Furthermore, (resp. ) if (resp. ), that is, the ion size reduces (resp. enhances) the current if (resp. ).
- (iii2)
- If , one has . Furthermore, (resp. ) if (resp. ), that is, the ion size enhances (resp. reduces) the current if (resp. ).
Theorem 4.
Assume that and . Then,
- (i)
- If with , one has . Moreover, the current decreases (resp. increases) in λ if (resp. ).
- (ii)
- If , one has
- (ii1)
- For either and , or and , one has . Furthermore, the current decreases (resp. increases) in λ if (resp. ).
- (ii2)
- For either and , or and , one has . Furthermore, the current increases (resp. decreases) in λ if (resp. ).
3.3. Orders of Critical Potentials
Our main concern is the order of the critical potentials identified in Definition 1 under different setups of boundary conditions. For convenience, in the subsequent analysis, we use to represent the critical potentials identified under electroneutrality conditions.
3.3.1. A Total Order of , and
From Definition 1, one has
where
Letting , one has where
For , one has
Lemma 4.
For , one has
- (i)
- If , then for . Furthermore, one has .
- (ii)
- If , there is a unique root of , such that for and for .
From Lemmas 2 and 4, we have
Theorem 5.
Assume that and . One has
- (i)
- For ,
- (i1)
- when .
- (i2)
- when and .
- (i3)
- when and .
- (ii)
- For and ,
- (ii1)
- when either or .
- (ii2)
- when either .
Remark 3.
and splits the potential interval into four subintervals, over which the dynamics of ionic flows are different. Take the case in Theorem 5, for example, the four subregions are and From Theorems 1 and 3, one has over both the subregions and , while over and over . This indicates rich dynamics of ionic flows that further depend on ion valences and diffusion coefficients.
3.3.2. A Total Order of , and
From Definition 1, together with , one has
where with given by
Lemma 5.
Assume . For the function , one has
- (i)
- For , ;
- (ii)
- For , there is a unique zero s0 that for , and for .
From Lemmas 3 and 5, one has
Theorem 6.
Assume that and . Then,
- (i)
- For ,
- (i1)
- when .
- (i2)
- when and .
- (i3)
- when and .
- (ii)
- For and ,
- (ii1)
- when and .
- (ii2)
- when .
3.4. Boundary Layer Effects on Ionic Flows
We illustrate boundary layer impacts on ionic flows from two directions.
3.4.1. Direct Interplays
For convenience, in our following discussion, we use to denote the fluxes under electroneutrality conditions, while presents the flux with boundary layers. We further introduce , which directly characterizes the boundary layer effects on the individual fluxes. One then has
It follows that
From Lemma 1, has a unique root , and has a unique root . Moreover,
Together with Lemma 1, the following result can be established.
Theorem 7.
Assume that and . Then,
- (i)
- For , one has and . Furthermore,
- (i1)
- (resp. ) if (resp. ), that is, the boundary layer reduces (resp. enhances) the individual flux if (resp. ).
- (i2)
- (resp. ) if (resp. ), that is, the boundary layer enhances (resp. reduces) the individual flux if (resp. ).
- (ii)
- For , one has while . Furthermore,
- (ii1)
- (resp. ) if (resp. ), that is, the boundary layer enhances (resp. reduces) the individual flux if (resp. ).
- (ii2)
- (resp. ) if (resp. ), that is, the boundary layer reduces (resp. enhances) the individual flux if (resp. ).
3.4.2. Further Analysis
We further analyze the impacts on ionic flows from boundary layers in terms of a total order of , and , where the critical potentials , and are identified under electroneutrality conditions, and from Definition 1, they are given by
It is easy to check that
Lemma 6.
For , one has .
To provide a total order of the six critical potentials, we treat the critical potential and as functions of and expand them along up to the first order and ignore higher order terms. For example, we write as
Note that is linear in and . We first consider . Note also that We have
where
Correspondingly, for a given and , x and are fixed. Note that satisfies the equation , and we obtain the linear equation
which indicates that any pair of that satisfies the linear equation also satisfies .
It follows that
Proposition 1.
Assume that . (resp. ) for (resp. ).
A similar discussion for leads to the following result.
Proposition 2.
Assume that . One has (resp. ) for (resp. ). Here, where
and
As for , one has
Proposition 3.
Assume that . (resp. ) for (resp. ). Here,
where
Together with Lemma 6, one has
Theorem 8.
For and , one has
- (i)
- For ,
- (i1)
- If , then, .
- (i2)
- If , then, .
- (i3)
- If , then, .
- (i4)
- If , then, .
- (ii)
- For ,
- (ii1)
- If , then, .
- (ii2)
- If , then, .
- (ii3)
- If , then, .
- (ii4)
- If , then, .
Remark 4.
The qualitative properties of ionic flows depend on the boundary layers as shown in both Theorems 7 and 8. Particularly, in Theorem 8, a total order of the critical potentials , and under different conditions is provided, and they split the whole potential region into seven subregions, from which the distinct dynamics of ionic flows can be observed. This further indicates the effects on ionic flows from boundary layers. More importantly, these critical potentials can be experimentally estimated. Take the potential , for example, one is able to take an experimental I–V relation as and numerically compute for the ideal case that allows one to obtain an estimate of .
4. Concluding Remarks
We study the finite ion size impacts on ionic flows under relaxed boundary conditions to better understand the dynamics of ionic flows via a one-dimensional PNP model. Ion sizes play vital roles in the characterization of the selectivity phenomena of ion channels. The detailed discussion, particularly, the argument of the relative ion size effects, could provide important insights into the selectivity phenomena of ion channels. Our study is under more realistic setups of the boundary conditions, a state that is not neutral but close to, and not surprisingly, the richer dynamics of ionic flows which are observed compared to the work conducted in [88] under the assumption of electroneutrality boundary conditions, that is, in current setup. The boundary layer effects on ionic flows due to the relaxation of the electroneutrality conditions are further characterized. Critical potentials are identified under different setups, which play crucial roles in our discussion of the ionic flow properties. Most importantly, those critical potentials can be experimentally identified as stated in Remark 4. The study provides an efficient way to control/adjust the boundary conditions to observe distinct dynamics of ionic flows through membrane channels. This is important for future analytical studies and critical for future numerical and even experimental studies of ion channel problems.
To end this section, we point out that the setup in this work is relatively simple, it only consisted of two oppositely charged particles and did not include nonzero permanent charges. The study in the current work is the first step for the analysis of more realistic models, such as those including multiple cations and nonzero permanent charges. The method developed in this work can be directly applied to those more realistic models and will be our future research topics.
Author Contributions
Conceptualization, X.L., J.S., L.Z. and M.Z.; methodology, X.L., J.S. and M.Z.; formal analysis, X.L. and M.Z.; writing—original X.L. and J.S.; writing—review and editing, M.Z.; funding acquisition, J.S. and M.Z. All authors have read and agreed to the published version of the manuscript.
Funding
This research was funded by Simons Foundation USA (No. 628308), the start-up fund from Linyi University (No. Z6124034) and National Natural Science Foundation of China (No. 12172199).
Institutional Review Board Statement
Not applicable.
Informed Consent Statement
Not applicable.
Data Availability Statement
Data are contained within the article.
Conflicts of Interest
The authors declare no conflicts of interest.
Abbreviations
The following abbreviations are used in this manuscript:
| PNP | Poisson–Nernst–Planck |
| I–V | Current–voltage |
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