Progress in the study of ion channel function, mechanisms, and mathematical modeling in Parkinson’s disease

Summary

Parkinson’s disease is a progressive neurodegenerative disorder in which ion channel dysfunction significantly contributes to the pathophysiology. This review summarizes recent advancements in the altered functions of voltage-gated sodium, potassium, and calcium channels, together with ligand-gated channels, revealing how these abnormalities disrupt neuronal excitability, synaptic transmission, autophagy, and metal ion homeostasis. Complementary mathematical modeling, ranging from Hodgkin-Huxley-type simulations of neuronal electrical activity to large-scale network dynamics and data-driven integrative frameworks, successfully reproduces experimental observations and predicts disease progression. These combined experimental and computational insights facilitate the development of targeted therapeutic strategies, including ion channel modulators and neuroprotective agents. By identifying key mechanistic links and overcoming current limitations in model complexity and data integration, this work underscores the importance of multidisciplinary collaboration among neuroscience, pharmacology, and computational biology to advance precise, channel-directed treatments for Parkinson’s disease.

Graphical abstract

Neuroscience; Cell biology; Mathematical biosciences

Introduction

Parkinson’s disease (PD) is a prevalent neurodegenerative disorder, characterized pathologically by the progressive loss of dopaminergic neurons in the substantia nigra pars compacta (SNc) and the presence of Lewy bodies composed primarily of aggregated α-synuclein (α-syn), leading to the classic motor and non-motor symptoms.^1,2 Although the etiology of PD is multifactorial, involving genetic susceptibility, environmental factors, oxidative stress, mitochondrial dysfunction, and neuroinflammation, accumulating evidence underscores ion channel dysfunction as a central mechanism driving neuronal vulnerability and disease progression.^3,4,5

Ion channels, which facilitate the movement of ions across cell membranes, are fundamental to maintaining neuronal excitability, synaptic transmission, and cellular homeostasis. Their dysregulation can alter neuronal firing patterns, exacerbating the vulnerability of dopaminergic neurons to degeneration.^4,6 Dysfunction of voltage-gated sodium (Nav), voltage-gated potassium (Kv), and voltage-gated calcium (Cav) channels, as well as ligand-gated channels, can lead to aberrant neuronal firing, disrupted synaptic plasticity, impaired autophagy, and ultimately, neuronal death. For instance, Kv channels play a pivotal role in regulating neuronal excitability and have been shown to be involved in the pathophysiology of PD.^5,7 Similarly, Cav channels are essential for neurotransmitter release and synaptic plasticity.^8,9 The aberrant influx of calcium ions, frequently exacerbated by oxidative stress, can activate apoptotic pathways in dopaminergic neurons, contributing to their degeneration.

Given the intricate and multi-scale nature of PD pathophysiology, mathematical modeling has emerged as a powerful tool for elucidating the complex interactions between ion channels and neuronal behavior. Computational approaches, ranging from Hodgkin-Huxley (HH)-based single-neuron models to large-scale network simulations of the basal ganglia, provide a quantitative framework to integrate experimental data, simulate pathological states, and generate testable predictions.^10,11,12,13 Furthermore, models incorporating the effects of dopamine depletion on ion channel conductances can simulate the emergence of pathological beta oscillations, a hallmark of PD motor circuitry.^14,15,16,17 The integration of experimental findings with mathematical modeling will be essential in advancing our knowledge and treatment of PD.

This review provides a comprehensive synthesis of the interplay between ion channel dysfunction and PD pathogenesis. We first detail the types and distribution of key ion channels implicated in PD and elucidate how their abnormalities disrupt core cellular processes, leading to neuronal hyperexcitability, mitochondrial failure, and neuroinflammation. Furthermore, we explore the burgeoning role of mathematical modeling in deciphering this complexity, from fundamental channel kinetics to system-level network dynamics. Finally, we discuss how the integration of experimental biology with computational sciences is informing the development of novel therapeutic strategies and outline future research directions. By bridging molecular mechanisms with computational insights, this review highlights the transformative potential of a multidisciplinary approach in advancing PD treatment.

Results

Types and distribution of key ion channels in Parkinson’s disease

Sodium channel

Nav channels play a crucial role in the excitability of neurons, particularly in the context of PD. In PD, the expression of these channels in basal ganglia neurons is altered, impacting neuronal firing and signaling. Research indicates that the expression levels of specific Nav channel subtypes, such as Nav1.7 and Nav1.8, are significantly modified in the dopaminergic neurons affected by PD, leading to changes in action potential generation and propagation.^18,19 These alterations can contribute to the characteristic motor symptoms of PD, including bradykinesia and rigidity, as they disrupt normal neurotransmission (Figure 1). Furthermore, the dysregulation of Nav channels may exacerbate excitotoxicity, a process where excessive stimulation by neurotransmitters such as glutamate leads to neuronal injury and death.

Figure 1.

Nav1.7 dysregulation leads to motor symptoms

Potassium channel

Kv channels play a critical role in regulating neuronal excitability in PD. These channels are responsible for repolarizing the neuronal membrane following action potentials, thereby shaping neuronal firing frequency and patterns. Studies have shown that altered expression or function of Kv channels, particularly Kv1.3 and Kv4.3, is associated with increased neuronal excitability in PD models.²⁰ Such dysregulation can impair the ability to modulate excitatory signals, leading to hyperexcitability of dopaminergic neurons. This hyperexcitability is believed to contribute to motor symptoms in PD by promoting excessive neurotransmitter release and subsequent excitotoxic damage.

The inwardly rectifying potassium (Kir) channel family is also implicated in PD pathogenesis. Studies have shown that the P.G156S mutation in the G protein-coupled inwardly rectifying potassium channel 2 (Kir3.2) abolishes the potassium selectivity, leading to sodium and calcium influx overload and eventual cell death. Additionally, the calcium-activated potassium (SK) subfamily of calcium-activated potassium channels participates in PD pathophysiology. In dopaminergic neurons of the SNc, small-conductance calcium-activated potassium channel 2 (SK2) channels help regulate firing patterns, and their activation may protect mitochondrial function and reduce neuronal loss²⁰ (Figure 2).

Figure 2.

Mechanisms underlying PD caused by the dysregulation of potassium ion channels

Furthermore, two-pore domain potassium channels (K2P), which contribute to background leak currents and help set the resting membrane potential, have also been linked to neuronal vulnerability in PD, though their precise role warrants further investigation.^7,21,22,23 Moreover, oxidative stress, common in aging and neurodegeneration, can further disrupt potassium channel function through modification by reactive oxygen species, potentially creating a vicious cycle of excitotoxicity and neurodegeneration.²⁴

Calcium channel

Cav channels play a pivotal role in the pathophysiology of PD, particularly in the degenerative changes observed in dopaminergic neurons. These channels facilitate calcium influx, a process essential for neurotransmitter release and neuronal signaling. In PD, the dysregulation of calcium channel expression and function can exacerbate neurodegeneration. For instance, Cav subtype 1.3 (Cav1.3) channels have been implicated in excitotoxicity following dopamine depletion, leading to increased intracellular calcium levels and subsequent neuronal apoptosis.¹⁸ The pacemaking activity of SNc dopaminergic neurons is particularly dependent on Cav1.3 channels, making them vulnerable to chronic calcium stress.^25,26

Moreover, the interaction between calcium signaling and mitochondrial function is crucial in PD pathology. Disrupted calcium homeostasis can impair mitochondrial function, a hallmark of PD. Excessive neuronal calcium accumulation can trigger mitochondrial calcium overload, in turn promotes the generation of reactive oxygen species and further neuronal damage (Figure 3).

Figure 3.

Mechanisms of neuronal injury induced by Cav1.3

Dysfunction of ion channels and the pathological mechanisms of Parkinson’s disease

Abnormal neuronal excitability

The pathophysiology of PD is intricately linked to the dysregulation of neuronal excitability within the basal ganglia circuitry. The basal ganglia are crucial for maintaining the balance between excitatory and inhibitory signals, which is essential for normal motor function. In PD, the degeneration of dopaminergic neurons in the substantia nigra leads to a significant reduction in dopamine levels, which in turn disrupts the excitatory-inhibitory balance within the basal ganglia. This imbalance is primarily mediated by ion channels, particularly potassium channels, which play a pivotal role in modulating neuronal excitability and synaptic transmission. The loss of dopaminergic input results in hyperactivity of certain neuronal populations, most notably within the striatum, where increased excitability is observed due to altered ion channel function.²⁷ For instance, voltage-gated potassium channels, which are responsible for repolarizing the neuronal membrane after an action potential, exhibit reduced expression or dysfunctional activity in PD. This dysfunction contributes to prolonged depolarization and increased firing rates of striatal neurons, leading to the characteristic motor symptoms of PD, including tremors and rigidity.^19,20,28

Moreover, specific mutations in ion channels can exacerbate these excitability issues. For example, alterations in the expression or function of Kir and Nav channels have been implicated in the pathogenesis of PD.²⁹ These channels are essential for maintaining resting membrane potential and controlling action potential firing. When their function is compromised, neurons may become hyperexcitable, resulting in excessive neurotransmitter release and accelerating the neurodegenerative process. Studies have shown that the dysregulation of these ion channels can lead to a state of hyperexcitability, characterized by abnormally high neuronal firing rates, thereby disrupting the delicate balance of excitatory and inhibitory signaling necessary for coordinated motor control.^30,31

The specificity of PD symptoms arises from the selective vulnerability of the dopaminergic neurons in the SNc and the consequent disruption of the basal ganglia-thalamocortical motor circuit. Ion channel dysfunction is not uniform across the brain but varies by region and cell type. For example, SNc dopaminergic neurons exhibit a unique reliance on Cav1.3 channels for pacemaking activity and possess relatively low calcium-buffering capacity, rendering them particularly susceptible to calcium-mediated stress and cell death.²⁵ Concurrently, dopamine loss in the striatum alters potassium channel function (e.g., Kv1.3 and Kv4.3) in medium spiny neurons, shifting their excitability and contributing to dysfunction in the direct and indirect pathways.^32,33 This circuit-level dysfunction, driven by region- and cell-type-specific ion channel alterations, ultimately manifests as the akinetic-rigid syndrome and tremor. Furthermore, neuroinflammation and oxidative stress exacerbate dysfunction within these vulnerable circuits by modulating ion channels in both neurons and glia cells in affected regions.^34,35

The consequences of this aberrant hyperexcitability extend beyond motor symptoms, influencing the non-motor symptoms of PD, including cognitive impairment and mood disorders. The established link between ion channel dysfunction and neuronal excitability highlights the need for targeted therapeutic strategies that specifically aim to restore normal ion channel homeostasis. Recent research has focused on pharmacological agents that can modulate ion channel activity, offering potential to alleviate both motor and non-motor symptoms. For instance, potassium channel modulators have been explored as a means to reduce neuronal hyperexcitability and restore the balance of excitatory and inhibitory signaling in the basal ganglia.^24,36

In summary, the pathological hyperexcitability of neurons in the context of PD is a multifaceted phenomenon, fundamentally rooted in the dysfunction of ion channels that govern neuronal firing. The resulting imbalance within basal ganglia circuitry not only underlies the hallmark motor symptoms of PD but also extends to broader cognitive and emotional dysregulation (Figure 4A). A precise understanding of the mechanisms through which ion channel alterations drive neuronal hyperexcitability is therefore critical for developing targeted therapeutic interventions aimed at mitigating the impact of this devastating disease (Figure 4B, Table 1).

Figure 4.

Ion channel abnormalities lead to abnormal neuronal excitability

(A) Kv1.3 dysfunction leads to abnormal neuronal excitability, thereby triggering the motor symptoms of PD.

(B) The mechanism by which PD is caused by functional changes in Kir and Nav channels.

Table 1.

Summary of key ion channels implicated in PD

Ion Channel Family	Key Subtypes	Primary Function	Role/Dysregulation in PD
Voltage-Gated Sodium (Nav)	Nav1.7, Nav1.8	Action potential initiation and propagation	Altered expression in the basal ganglia contributes to aberrant excitability and motor symptoms.
Voltage-Gated Potassium (Kv)	Kv1.3, Kv4.3, Kv7	Membrane repolarization; firing rate control	Dysregulation leads to neuronal hyperexcitability; Kv1.3 inhibitors show anti-inflammatory effects.
Voltage-Gated Calcium (Cav)	Cav1.3	Pacemaking, neurotransmitter release	Sustained calcium influx in SNc dopamine neurons contributes to mitochondrial stress and excitotoxicity.
Inwardly Rectifying K+ (Kir)	Kir4.2, Kir3.2	Maintain resting potential; modulate excitability	Mutations (e.g., KCNJ15) linked to familial PD; loss of function disrupts ionic homeostasis.
Ligand-Gated (Purinoceptor)	P2X7, P2X4	Mediate ATP signaling; inflammation	Overactivation of microglia/neurons drives neuroinflammation and excitotoxicity.
Transient Receptor Potential (TRP)	TRPM2, TRPV1/4	Sense oxidative stress, pain, and temperature	TRPM2 activation by ROS exacerbates calcium dysregulation and inflammation.

Mitochondrial dysfunction

Mitochondrial dysfunction is increasingly recognized as a pivotal player in the pathogenesis of PD, with voltage-dependent anion channels (VDACs) playing a critical role in this process. VDACs, located in the outer mitochondrial membrane, regulate the exchange of ions and metabolites between mitochondria and the cytosol, thereby influencing cellular energy metabolism and apoptosis. In PD, the aggregation of α-syn can interact with VDAC, altering its conductance and selectivity. This interaction is thought to exacerbate mitochondrial dysfunction by impairing calcium homeostasis and promoting oxidative stress, both detrimental to neuronal survival.^37,38 Specifically, elevated intracellular calcium and sustained oxidative stress can directly trigger the opening of the mitochondrial permeability transition pore (mPTP), leading to mitochondrial swelling, membrane rupture, and ultimately neuronal death.^39,40,41,42 A self-reinforcing vicious cycle further drives this process: mPTP opening enhances reactive oxygen species (ROS) production, which in turn promotes further mPTP activation.^43,44 VDAC also functionally interacts with components of the mPTP, suggesting that VDAC dysregulation may critically facilitate this detrimental cycle.

Moreover, genetic factors associated with familial PD, such as mutations in PINK1 and PARKIN, can exacerbate mitochondrial dysfunction. These mutations impair mitophagy and compromise the clearance of damaged mitochondria, thereby increasing cellular susceptibility to mPTP opening.^45,46 The growing understanding of these mechanisms has spurred interest in therapeutic strategies aimed at preserving mitochondrial function in PD. Current approaches include stabilizing mitochondrial membranes, inhibiting pathological mPTP opening, modulating VDAC activity, and employing antioxidants to mitigate oxidative stress^44,47 (Figure 5).

Figure 5.

Mechanisms by which ion channel abnormalities induce mitochondrial dysfunction

Oxidative stress and neuroinflammation

The interaction between oxidative stress and neuroinflammation is a critical aspect of PD pathology, with the transient receptor potential melastatin 2 (TRPM2) channel playing a pivotal role in mediating these processes. TRPM2 is a calcium-permeable cation channel activated by oxidative stress, particularly through the presence of ROS. In the context of PD, elevated oxidative stress leads to the activation of TRPM2, which subsequently enhances intracellular calcium levels, contributing to neuronal excitotoxicity and apoptosis. Studies have shown that TRPM2 activation exacerbates dopaminergic neuron loss, a hallmark of PD, by promoting neuroinflammatory responses mediated by microglia. This is particularly evident in the substantia nigra, where TRPM2 activation in microglial cells results in the release of pro-inflammatory cytokines, further perpetuating a cycle of oxidative stress and inflammation that accelerates neurodegeneration.⁴⁸ The synergistic relationship between oxidative stress and neuroinflammation not only underscores the importance of TRPM2 in PD but also highlights it as a potential therapeutic target for mitigating disease progression.

In addition to TRPM2, microglia ion channels are critical mediators of neuroinflammation in PD.⁹ The activation of ion channels such as ATP gated P2X7 (purinergic receptor P2X, ligand-gated ion channel 7) on microglia by damage-associated molecular patterns (DAMPs) drives NLRP3 (NOD-, LRR- and pyrin domain-containing protein 3) inflammasome activation and the release of pro-inflammatory cytokines, perpetuating neuronal damage.^49,50,51 The P2X7 receptor, an ATP-gated ion channel, has emerged as a major mediator of neuroinflammation in PD. Under pathological conditions, such as those seen in PD, excessive extracellular ATP leads to the sustained activation of microglial P2X7 receptors. This triggers a series of inflammatory responses, including the assembly of the NLRP3 inflammasome, and secretion of pro-inflammatory cytokines such as interleukin-1β (IL-1β) and tumor necrosis factor-α (TNF-α), which are known to exacerbate neuronal damage disease progression.⁵² The activation of the P2X7 receptor also disrupts the blood-brain barrier (BBB), facilitating the infiltration of peripheral immune cells into the central nervous system (CNS) and further amplifying neuroinflammation.

Beyond its inflammatory role, P2X7 activation contributes to several downstream pathogenic processes. It can induce the production of ROS and the release of glutamate, exacerbating excitotoxicity and cell death. It can also interact with the renin-angiotensin system (RAAS), in synergy with the Ang II-AT₁R pathway, promote fibrosis, oxidative stress, and neuroinflammation. Given its multifaceted role, targeting the P2X7 receptor represents a promising therapeutic strategy for reducing neuroinflammation and protecting against neuronal loss in PD.⁵²

The interaction between TRPM2 and P2X7 receptors exemplifies the complex mechanisms underlying oxidative stress and neuroinflammation in PD. Both channels are integral to the pathophysiological landscape of the disease, where their activation initiates a self-sustaining cycle of neuronal injury. Inhibiting these ion channels offers a potential dual therapeutic approach to interrupt this detrimental loop. For instance, pharmacological agents that block TRPM2 or P2X7 receptor activity have shown promise in preclinical models, reducing neuroinflammation and improving neuronal survival.^53,54 Furthermore, understanding the precise signaling pathways involved in TRPM2 and P2X7 receptor activation could lead to the development of targeted therapies that not only alleviate symptoms but also slow the progression of PD by addressing the underlying oxidative stress and neuroinflammatory processes (Figure 6).

Figure 6.

The vicious cycle among ion channel abnormalities and neuroinflammation

Interaction between ion channels and Parkinson’s disease-related proteins

α-synuclein and ion channels

The role of α-syn in the modulation of ion channel function is a critical area of research in understanding the pathophysiology of PD. α-syn is known to form oligomers that can directly interact with various ion channels, thereby altering their functionality. For instance, studies have shown that α-syn can influence the conductance of VDAC by partially blocking their activity through its acidic C-terminal tail, which has significant implications for calcium homeostasis within neurons.⁵⁵ This blockage not only affects the permeability of VDAC to ions but also enhances calcium selectivity, potentially leading to dysregulated calcium influx that is detrimental to neuronal health.⁵⁵ Furthermore, α-syn oligomers have been shown to modulate ion channels such as transient receptor potential vanilloid 1 (TRPV1) and transient receptor potential ankyrin 1 (TRPA1), thereby influencing neuronal excitability and neurotransmitter release in cellular models of PD.^56,57 This direct regulation of ion channels by α-syn suggests a mechanism by which the aggregation of this protein can lead to cellular dysfunction and neurodegeneration.

Moreover, the physical interactions between α-syn and specific ion channels carry significant pathological implications. For example, α-syn has been found to interact with purinergic receptors such as P2X7, which are implicated in mediating oxidative stress and mitochondrial dysfunction in neurons.^58,59 This pathway underscores the importance of ion channel dysregulation in the context of α-syn pathology, as it highlights how α-syn aggregation exacerbates neurodegenerative processes through ion channel-mediated mechanisms. Additionally, emerging evidence also suggests potential involvement of calcium-permeable TRPV4 channels in α-syn pathology, where aberrant TRPV4 upregulation or activation in PD models may contribute to calcium dyshomeostasis, oxidative stress, and impaired clearance of pathological α-syn species.^60,61

The pathological significance of these interactions is further illustrated by the differential responses of neurons to α-syn aggregation. For instance, pacemaker neurons in the brainstem display adaptive responses to α-syn-induced stress, such as enhanced expression of potassium channels, which serve to mitigate the effects of oxidative stress.⁶² In contrast, dopaminergic neurons in the substantia nigra are more susceptible to α-syn toxicity, leading to their degeneration. This dichotomy emphasizes the need for a deeper understanding of how α-syn interacts with various ion channels across different neuronal populations, as it may reveal novel therapeutic targets for PD.

Leucine-rich repeat kinase 2 and ion channel regulation

The leucine-rich repeat kinase 2 (LRRK2) gene is one of the most significant genetic contributors to PD, particularly the G2019S mutation, which is known to have a specific impact on ion channel functionality, particularly potassium channels. Studies have shown that mutations in LRRK2 can lead to altered potassium channel activity, which is crucial for maintaining neuronal excitability and neurotransmitter release. The G2019S mutation has been observed to enhance the activity of certain ion channels, leading to increased calcium influx and subsequent excitotoxicity in dopaminergic neurons.⁶³ This dysregulation of ion channels may contribute to the neurodegenerative processes seen in PD, as the balance of excitatory and inhibitory signals in the brain is disrupted. Furthermore, the interaction between LRRK2 and ion channels extends beyond potassium channels; it also involves sodium and calcium channels, which play critical roles in synaptic plasticity and neuronal communication. For instance, the interplay between LRRK2 and lysosomal ion channels, such as TPC2, has been identified as a significant factor in maintaining dopaminergic function, with the G2019S mutation leading to exaggerated calcium entry that disrupts normal cellular function.⁶³ Studies have found that the LRRK2-R1441C mutation increases lysosomal pH and reduces autophagosome-lysosome fusion.⁶⁴ In addition, studies have shown that the G2019S mutation causes abnormal membrane localization of D3R-nAChR heteropolymers, and normalizing LRRK2 function can restore their expression.⁶⁵ This highlights the necessity of understanding the specific mechanisms by which LRRK2 mutations affect ion channel regulation, as it could open avenues for targeted therapeutic interventions aimed at restoring normal ion channel function in PD.

The molecular mechanisms underlying the interaction between LRRK2 and ion channels are complex and multifaceted. The dysregulation of ion channels due to LRRK2 mutations not only affects calcium dynamics but also has downstream effects on various signaling pathways critical for neuronal health. For example, the aberrant calcium entry associated with LRRK2 mutations can lead to the increased activation of calcium-dependent signaling cascades, which may exacerbate neuroinflammation and oxidative stress, both of which are implicated in the pathogenesis of PD.⁶⁶ Additionally, the relationship between LRRK2 and ion channels may involve protein-protein interactions that modulate channel activity and localization within the cell. Studies utilizing advanced techniques such as brain organoids derived from LRRK2 mutant patient cells have provided insights into how these interactions manifest in a more physiologically relevant context, revealing alterations in dopaminergic neuron populations and increased autophagy.⁶⁷ These findings underscore the importance of LRRK2 as a potential therapeutic target, as modulating its activity or its interactions with ion channels could ameliorate some of the functional deficits observed in PD.

Ion channels as targets for Parkinson’s disease treatment

Mechanisms of ion channel action of existing drugs

The treatment of PD has evolved significantly with the introduction of various pharmacological agents, among which levodopa (L-DOPA) remains the cornerstone therapy. L-DOPA is a precursor to dopamine, and its primary action is to replenish the depleted dopamine levels in the brain, particularly in the striatum, which is crucial for motor control. However, its effects on ion channels, particularly in the context of indirect modulation, are increasingly recognized. L-DOPA influences the activity of several ion channels, including potassium (K⁺) and calcium (Ca²⁺) channels, which are critical for neuronal excitability and neurotransmitter release. For instance, the administration of L-DOPA has been shown to enhance the activity of voltage-gated K+ channels, which play a role in repolarizing neurons after action potentials, thereby influencing overall neuronal excitability and synaptic transmission.⁶⁸ This modulation can help restore some of the motor functions impaired in PD. Furthermore, L-DOPA’s action is not limited to dopaminergic neurons; it can also impact the activity of non-dopaminergic neurons, suggesting a broader influence on the neuronal network dynamics within the basal ganglia. The indirect effects of L-DOPA on ion channels may also contribute to its side effects, such as dyskinesias, which are characterized by abnormal involuntary movements. Studies have shown that L-DOPA treatment may lead to the redistribution and overactivation of NMDA receptors, thereby exacerbating neuronal degeneration and motor side effects.⁶⁹ Over time, the efficacy of L-DOPA diminishes, partly due to the progression of neurodegeneration and alterations in ion channel expression and function. This necessitates the exploration of additional therapeutic strategies that target ion channels directly to complement L-DOPA therapy and address the underlying pathophysiology of PD more effectively.²⁰

In addition to L-DOPA, dopamine receptor agonists (DRAs) have emerged as important therapeutic agents for PD. These compounds mimic the action of dopamine by directly stimulating dopamine receptors, particularly D2-like receptors, which are crucial for modulating the activity of ion channels involved in neurotransmission. DRAs, such as pramipexole and ropinirole, have been shown to enhance the activity of K+ channels, which can lead to increased neuronal firing rates and improved motor function.²⁴ The activation of D2 receptors by DRAs can also result in the inhibition of adenylyl cyclase, leading to decreased cAMP levels and subsequent modulation of ion channel activity. This pathway is particularly relevant in the context of the striatal circuitry, where the balance of excitatory and inhibitory signals is critical for motor control. Moreover, the use of DRAs has been associated with neuroprotective effects, potentially through their ability to modulate ion channel activity and reduce excitotoxicity, a common feature in PD pathology.⁷⁰ However, the long-term use of DRAs can also lead to side effects, including impulse control disorders and dyskinesias, similar to those observed with L-DOPA. Overall, the exploration of existing drugs' ion channel action mechanisms offers valuable insights into developing more effective and targeted therapies for PD, addressing both symptoms and disease progression.⁷¹

Novel targeted therapeutic strategies

The development of specific ion channel modulators has gained significant attention in the context of PD therapy, as these channels play crucial roles in neuronal excitability and neurotransmitter release. Recent advancements have focused on the identification and characterization of ion channel regulators that can selectively modulate the activity of specific channels implicated in PD pathophysiology. Potassium channel modulators represent a particularly promising class. Among these, Kv channel modulators have been highlighted as potential therapeutic targets due to their involvement in regulating dopaminergic neuron excitability and neurotransmitter release. For instance, inhibitors of the Kv1.3 channel (e.g., PAP-1, ShK-186) have anti-inflammatory and neuroprotective effects, while Kv7 (KCNQ) channel openers (e.g., Retigabine and XE991) can improve cognitive function and dyskinesias.^18,20 SK channel openers, targeting channels such as SK2, aim to protect neurons by counteracting calcium-induced excitotoxicity and supporting mitochondrial function.⁷² The therapeutic potential of these modulators lies in their ability to restore the balance of ion homeostasis disrupted in PD, thereby mitigating neurodegeneration and improving motor functions. Furthermore, the exploration of small molecules that can selectively enhance or inhibit specific ion channels is underway, with some compounds showing promise in preclinical models of PD. For example, the selective modulation of inward rectifying K⁺ channels has demonstrated neuroprotective effects in dopaminergic neurons, suggesting that targeted therapies could lead to more effective treatment options for patients with PD.^24,34

The discovery of these novel modulators is increasingly aided by computational drug discovery (CDD) approaches. In silico screening of compound libraries against homology models or cryo-EM structures of target ion channels (e.g., Cav, Kv, and P2X7) allows for the rapid identification of high-affinity lead compounds.^73,74 Molecular dynamics simulations further help in understanding drug-channel interactions and optimizing selectivity profiles.⁷⁵ Machine learning models trained on electrophysiological and chemical data can predict the functional effects of novel compounds on specific channel subtypes, accelerating the hit-to-lead optimization process.^76,77 This synergy between computational prediction and experimental validation is streamlining the development of next-generation, highly selective ion channel therapeutics for PD.

In addition to traditional pharmacological approaches, optogenetics has emerged as a revolutionary technique for the precise control of ion channels in the context of PD treatment. This method employs light to activate or inhibit genetically modified ion channels with high specificity and temporal precision, allowing for the modulation of neuronal activity in real-time. The application of optogenetics in PD research has shown potential in restoring normal firing patterns in dopaminergic neurons, which are often disrupted in the disease. For instance, the use of light-sensitive ion channels such as channel rhodopsins has enabled researchers to selectively stimulate dopaminergic neurons in animal models, resulting in improved motor function and reduced symptoms associated with PD.⁷⁸ This innovative approach not only provides insights into the underlying mechanisms of PD but also opens new avenues for developing non-invasive therapeutic strategies that could complement existing treatments. The integration of optogenetic techniques with traditional pharmacotherapy may enhance the efficacy of treatment regimens and offer a more personalized approach to managing PD.

Moreover, the potential of combining ion channel modulation with other advanced therapeutic strategies, such as gene therapy or neuroprotective agents, is being explored. The use of gene editing technologies, such as CRISPR/Cas9, to correct gain-of-function mutations in ion channel genes associated with PD presents an exciting frontier in targeted therapy.^79,80 Viral vector-mediated delivery of genes encoding inhibitory peptides (e.g., specific for Cav) or dominant-negative channel subunits offers another avenue for long-term, targeted suppression of pathological ion channel activity in vulnerable neuronal populations.⁸¹ Additionally, the exploration of neuroinflammatory pathways and their interaction with ion channels has revealed new therapeutic targets. For example, bi-specific molecules that simultaneously modulate an ion channel (e.g., P2X7) and a key neuroinflammatory mediator are under conceptual development to achieve synergistic effects.^52,82

Mathematical modeling of the basics of ion channels in Parkinson’s disease

Mathematical modeling provides a quantitative framework to bridge molecular-level dysfunction with cellular, circuit, and behavioral phenotypes in PD (Table 2). It allows for hypothesis testing, prediction of disease progression, and optimization of therapies. Key approaches span from simulating single-channel kinetics to the analysis of large-scale network dynamics.

Table 2.

Overview of mathematical modeling approaches in PD research

Modeling Approach	Scale	Application in PD	Advantages	Limitations
Hodgkin-Huxley/Markov Models	Cellular	Simulating altered excitability of SNc neurons: drug effects on specific channels.	High biophysical detail; mechanistic insight.	Computationally expensive; requires extensive parameterization.
Neuronal Network Models	Circuit	Simulating beta oscillations in the basal ganglia; predicting DBS outcomes.	Captures emergent network dynamics; links cellular changes to circuit dysfunction.	Simplified representation of neurons; may overlook molecular details.
Multiscale/QSP Models	System	Predicting the therapeutic efficacy of ion channel drugs combined with DBS.	Integrates pharmacology with pathophysiology; personalized medicine potential.	High complexity; difficult to validate comprehensively.

Single-channel kinetic models

The HH model,⁸³ a cornerstone in neurophysiology, describes the conductance changes of sodium and potassium channels using a set of differential equations: I_ion = g_ion ∗ m^p ∗ h^q ∗ (V - E_ion). Where I_ion is the ionic current, g_ion is the maximal conductance, m and h are gating variables for activation and inactivation, p and q are integers, V is the membrane potential, and E_ion is the reversal potential. This formalism allows for the simulation of action potentials and has been extensively applied to model neuronal excitability in PD-affected neurons. In the context of PD, alterations in ion channel function can lead to disrupted neuronal signaling, contributing to the motor and non-motor symptoms of the disease. By applying the Hodgkin-Huxley framework, researchers can simulate the effects of various ion channel dysfunctions on neuronal behavior, thereby elucidating the pathophysiological mechanisms of PD.

In contrast, Markov state models offer a more nuanced approach to studying ion channels by capturing the probabilistic nature of channel gating. Unlike the Hodgkin-Huxley model, which relies on deterministic equations, Markov models represent ion channel states and transitions as a series of probabilistic events.^84,85 This framework is particularly advantageous in PD research, as it can accommodate the inherent variability and stochastic behavior of ion channels in pathological states. Markov models allow for the incorporation of multiple states and transitions, providing a detailed representation of the kinetic properties of ion channels under various physiological and pathological conditions. This level of detail is crucial for understanding how specific mutations or pathological processes affect ion channel function in PD, ultimately aiding in the development of targeted therapies that can modulate channel activity more precisely than traditional approaches (Figure 7).

Figure 7.

Mathematical modeling of ion channels associated with PD

Key to modeling neuronal excitability are fundamental biophysical concepts, including the Nernst potential for ions, the Goldman-Hodgkin-Katz equation^86,87 for resting membrane potential, and current-voltage relationships. Incorporating these allows models to accurately reflect the electrophysiological signatures of PD-affected neurons, such as altered pacemaking, increased burst firing, or changes in input resistance. Furthermore, the Poisson-Nernst-Planck equations provide a more detailed continuum description of ion electrodiffusion, which can be important for understanding phenomena such as ionic concentration changes in confined spaces such as the synaptic cleft or peri-neuronal spaces.⁸⁸ These advanced frameworks, when integrated with channel kinetics, enable more realistic simulations of pathological states such as excitotoxicity.

Neuronal electrophysiological models

The development of computational models for neurons affected by PD provides critical insights into the underlying mechanisms of neuronal dysfunction and potential therapeutic interventions. In constructing a detailed framework for PD-related neuronal models, researchers have leveraged various computational techniques to simulate the electrical activity of neurons, particularly focusing on the ion channel dynamics that are altered in PD. For instance, the optimization of rodent subthalamic nucleus (STN) neuron models has revealed significant modifications in firing characteristics when an axon is integrated into the model, emphasizing the importance of biophysical realism in accurately replicating neuronal behavior.⁸⁹ Additionally, the incorporation of ephaptic interactions—where electrical activity in one neuron influences another neuron without direct synaptic connections—has been shown to play a role in the altered firing patterns observed in neurodegenerative conditions.⁹⁰ This highlights the complexity of neuronal networks in PD, where both intrinsic properties of individual neurons and their interactions within a network must be considered for accurate modeling.

The parameters of these models significantly influence the firing patterns of neurons, which can be critical for understanding the pathophysiology of PD. For example, variations in ion channel conductance can lead to changes in action potential shape and frequency, which are essential for neuronal communication and overall network function. Studies utilizing dimensionality reduction techniques have demonstrated that even small changes in ion channel composition can lead to substantial variability in neuronal excitability and firing patterns.⁹¹ This variability is particularly relevant in the context of PD, where the degeneration of dopaminergic neurons leads to altered excitability and impaired synaptic transmission, contributing to the motor and non-motor symptoms of the disease. Furthermore, computational models that incorporate both excitatory and inhibitory synaptic processes have revealed how excitotoxicity can manifest in PD models, affecting the balance of neuronal activity and potentially leading to chronic pain and other complications.⁹²

The impact of model parameters on neuronal firing patterns can also be observed in the context of deep brain stimulation (DBS), a therapeutic approach used in PD treatment. Computational models of DBS effects on STN neurons have been optimized to predict personalized stimulation parameters (see also network-system scale modeling section).⁹³ By optimizing these models through genetic algorithms, researchers can achieve a better alignment with experimental data, thus enhancing the predictive power of the models for clinical applications. For instance, to address issues such as the lack of standardization in assessing the efficacy of DBS on gait improvement, a Walking Performance Index (WPI) was proposed to objectively evaluate gait performance. By employing a Gaussian Process Regression (GPR) model, personalized optimal DBS parameters were predicted and identified within safe stimulation ranges, resulting in a 2%–18% improvement in WPI across three patients. This approach provides data-driven support for clinical DBS programming and reduces the time required for parameter trial-and-error.⁹⁴

In summary, the construction of computational models for PD-related neurons is a multifaceted endeavor that requires careful consideration of various parameters influencing neuronal activity. By integrating biophysical realism, optimizing model parameters, and analyzing the effects of ion channel dynamics, researchers can gain valuable insights into the mechanisms underlying PD and explore potential therapeutic avenues. As the field progresses, these models will continue to serve as essential tools for elucidating the complexities of neuronal function in health and disease, ultimately contributing to improved treatment strategies for individuals with PD (Figure 7).

Network dynamics modeling of basal ganglia circuits

Network model in normal state

The basal ganglia, a group of nuclei in the brain, play a crucial role in motor control and are integral to the functioning of various neural circuits. In PD, understanding these networks is essential for elucidating pathological mechanisms. A widely used mathematical model of the basal ganglia microcircuitry employs a network framework comprising nodes representing different neuronal populations, such as the striatum, globus pallidus, subthalamic nucleus, and substantia nigra. Each node is characterized by unique ion channel properties that shape network dynamics. For instance, striatal neurons primarily express GABAergic (gamma-aminobutyric acidergic) inhibitory channels, while subthalamic nucleus neurons exhibit excitatory glutamatergic channels. These interactions are commonly modeled with differential equations that describe neuronal firing rates and synaptic communication, capturing the oscillatory behavior typical of healthy states. Coupling strength between nodes, modulated by the conductance of ion channels, directly affects the synchronization of neuronal firing, a phenomenon critical for normal motor function. Studies have shown that specific conductance patterns can produce either chaotic or regular dynamics within the network. Balanced conductances tend to support synchronized activity, whereas alterations in ion channel properties may lead to desynchronized, pathological states characteristic of PD.⁹⁵

The impact of ion channel properties on network oscillations is profound. Each node’s channel profile determines its excitability and synaptic integration, collectively governing oscillatory patterns. For example, the modulation of sodium and potassium channels can alter the action potential firing rates, thereby influencing the timing and synchronization of network rhythms. This is particularly important in PD, where dopaminergic depletion disrupts ion channel dynamics and promotes abnormal beta oscillations. Mathematical models incorporating these dynamics can simulate how variations in conductance affect network stability and oscillatory behavior. By adjusting parameters related to ion channel conductance, researchers can explore a range of network states, from normal oscillatory patterns to pathological rhythms observed in PD.^96,97,98,99

In summary, mathematical modeling of basal ganglia microcircuitry under normal state provides a valuable framework for understanding the complex interactions between various neuronal populations and their ion channel properties. By analyzing how these properties influence network oscillations, researchers can gain insights into the pathophysiology of PD and identify potential avenues for therapeutic intervention. The interplay between ion channel dynamics and network behavior underscores the importance of precise mathematical modeling in elucidating the mechanisms of neural function and dysfunction.

Simulation of pathological states in Parkinson’s disease

The simulation of pathological states in PD is crucial for understanding the underlying mechanisms that lead to the characteristic symptoms of the disorder. Recent advancements in mathematical modeling have enabled researchers to simulate the effects of ion channel dysfunction on neural network oscillations, particularly focusing on the role of potassium channels. For instance, the inwardly rectifying potassium channel Kir4.2, which has been implicated in familial PD through mutations such as KCNJ15p.R28C, exhibits significant alterations in its functional properties. Studies have shown that this mutation leads to a loss of channel function, which can disrupt the balance of excitatory and inhibitory signals within neural circuits, potentially contributing to abnormal oscillatory activity observed in patients with PD.⁵ Furthermore, the transient receptor potential canonical 5 (TRPC5) channels, which are activated by oxidative stress and predominantly expressed in the striatum and substantia nigra, have been shown to play a role in calcium influx and subsequent neuronal excitotoxicity. In a PD model induced by MPTP, TRPC5 overexpression was associated with increased oxidative stress and apoptosis, highlighting the importance of ion channel dynamics in the pathophysiology of PD.¹⁰⁰ Mathematical models can capture these complex interactions, allowing for simulations that reflect how ion channel abnormalities lead to altered network oscillations, which are characteristic of PD.

Moreover, the enhancement of beta-band oscillations, often observed in PD, can be linked to specific ion channel dysfunctions. The modulation of beta-band activity is thought to be influenced by the balance of excitatory and inhibitory inputs in the basal ganglia circuitry, where ion channels play a pivotal role. For example, the P2X4 receptor, which is involved in regulating synaptic transmission and cellular excitability, has been shown to affect autophagy and neuroinflammation in PD models. Inhibition of P2X4 receptor expression has been associated with improved motor function and reduced neurodegeneration, suggesting that its dysregulation may contribute to the enhanced beta oscillations seen in PD.¹⁰¹ Mathematical modeling approaches can be employed to simulate these oscillatory dynamics, allowing researchers to explore how changes in ion channel function can lead to the characteristic motor symptoms of PD.

Computational studies have been instrumental in linking ion channel dysfunction to specific network-level pathologies in PD. For example, models incorporating dopamine depletion and altered striatal potassium channel conductances can reproduce the excessive beta-band oscillations observed in the basal ganglia of patients with PD.¹⁶ These models suggest that the loss of dopamine leads to changes in the feedback loops within the basal ganglia-thalamocortical circuit, promoting pathological synchrony. Furthermore, models investigating heterogeneous delays within the basal ganglia network have utilized Hopf bifurcation analysis to demonstrate how specific parameter changes (e.g., synaptic strengths and delays) can induce a transition from normal, irregular firing to pathological, synchronized oscillations, providing a theoretical basis for the emergence of PD symptoms.^13,17

In summary, the simulation of pathological states in PD through mathematical modeling provides valuable insights into the mechanisms by which ion channel dysfunction contributes to altered neural oscillations. By elucidating the relationship between specific ion channels and network dynamics, these models offer a powerful tool for advancing our understanding of PD (Figure 8).

Figure 8.

Network dynamics modeling

Multiscale modeling methods

Molecular-cellular scale modeling

The integration of molecular dynamics with cellular electrophysiological activities represents a significant advancement in understanding the complex pathophysiology of PD. This cross-scale modeling approach allows researchers to bridge the gap between molecular interactions and cellular responses, providing a comprehensive view of how alterations at the molecular level can impact neuronal function. For instance, molecular dynamics simulations have been employed to elucidate the structural dynamics of ion channels, such as N-methyl-D-aspartate receptors (NMDARs), which are critical in mediating excitatory neurotransmission. These simulations reveal how ligand binding induces conformational changes that affect ion permeability and channel activity, which are crucial for maintaining neuronal health. In the context of PD, the dysregulation of ion channels, including NMDARs, has been linked to excitotoxicity and subsequent neuronal death, highlighting the importance of understanding these molecular mechanisms.¹⁰² Furthermore, recent studies utilizing single-nucleus RNA sequencing have provided insights into the cellular heterogeneity of the PD mouse model, revealing how different cell types exhibit distinct alterations in ion channel expression and activity. This approach has generated a detailed transcriptomic atlas that captures the intricate interplay between various cell types in the PD-affected brain, facilitating the identification of specific molecular targets for therapeutic intervention.¹⁰³

Moreover, the modeling of ion channel dynamics extends to the investigation of specific proteins implicated in PD, such as α-syn, which is known to influence ion channel function. Quantitative simulations have demonstrated that α-syn can modulate ion channel activity, linking molecular changes to alterations in cellular electrical activity and contributing to excitotoxicity and oxidative stress.¹⁰⁴ By employing a multi-scale modeling framework, researchers can simulate the effects of α-syn on ion channel dynamics, linking molecular changes to alterations in cellular electrical activity.

In summary, the advancement of molecular-cellular scale modeling in PD research is pivotal for elucidating the complex interactions between molecular dynamics and cellular electrophysiology. By integrating data from molecular simulations with cellular activity measurements, researchers can gain a deeper understanding of how alterations at the molecular level contribute to the pathogenesis of PD. This holistic perspective is essential for the development of targeted therapies that address the underlying molecular mechanisms driving neuronal dysfunction in PD.

Network-system scale modeling

The construction of whole-brain network models based on ion channel characteristics represents a significant advancement in understanding the complex dynamics of neural interactions, particularly in the context of PD. These models integrate various electrophysiological properties of neurons, including ion channel dynamics, synaptic interactions, and the effects of ephaptic coupling, which refers to the influence of one neuron’s electric field on another. Recent studies have highlighted the importance of ephaptic interactions, particularly in the context of neuronal membrane impairment observed in neurodegenerative diseases such as PD. For instance, numerical simulations have shown that alterations in ion channel resistance and lipid membrane capacitance can significantly impact neuronal communication and synchronization, leading to impaired electrophysiological properties that characterize PD.⁹⁰ By employing hybrid neural models, such as the quadratic integrate-and-fire ephaptic (QIF-E) model, researchers can simulate these interactions and better understand how disruptions in ion channel function contribute to the pathophysiology of PD. This approach allows for the exploration of how specific ion channel dysfunctions can lead to broader network-level changes, offering insights into the mechanisms underlying motor and cognitive deficits in patients with PD.

In addition to enhancing our understanding of PD pathophysiology, these network models have practical applications in optimizing DBS therapies for PD. DBS has emerged as a critical intervention for managing motor symptoms in advanced PD, but its efficacy can be variable among patients. By utilizing network-scale models, clinicians can simulate the effects of DBS on different brain regions involved in motor control, allowing for the identification of optimal stimulation parameters tailored to individual patient profiles. For instance, quantitative systems pharmacology models have been developed that simulate the basal ganglia motor circuit, incorporating the effects of various neurotransmitter systems and ion channels. These models can predict the impact of DBS on local field potentials and motor function, providing a framework for personalizing stimulation protocols.¹⁰⁵ Furthermore, the integration of pharmacokinetic (PK) modeling with these network models can enhance the understanding of how adjunct pharmacological therapies, such as adenosine A2A antagonists, can be combined with DBS to further reduce OFF-time in patients with PD. This approach not only facilitates the design of clinical trials for new therapeutic agents but also supports the optimization of combination therapies in clinical practice, ultimately improving patient outcomes in PD management.

Overall, the development of whole-brain network models based on ion channel characteristics is paving the way for a more nuanced understanding of the neural circuitry involved in PD. By bridging the gap between basic electrophysiological research and clinical applications, these models hold the potential to revolutionize how we approach the treatment of PD, leading to more effective and personalized therapeutic strategies. As research continues to evolve, the integration of advanced modeling techniques will undoubtedly enhance our ability to dissect the complexities of PD and improve therapeutic interventions for those affected by this debilitating condition (Figure 9).

Figure 9.

Multiscale modeling methods

Model validation and experimental design

In vitro experimental validation

The integration of patch-clamp techniques with computational models has emerged as a powerful strategy for validating the functional roles of ion channels in PD. Patch-clamp electrophysiology allows for the precise measurement of ionic currents through individual ion channels, providing insights into their biophysical properties and functional dynamics under various conditions. This technique is particularly valuable in understanding how specific mutations or pharmacological agents influence ion channel activity, which is critical in the context of PD, where the dysregulation of ion channels contributes to dopaminergic neuron vulnerability. For instance, the study of the Kir4.2 potassium channel, which has been linked to familial PD through mutations, demonstrates how patch-clamp recordings can reveal alterations in channel conductance and kinetic properties resulting from genetic modifications.⁵ Furthermore, computational models can simulate the behavior of ion channels within neuronal networks, allowing researchers to predict the impact of ion channel dysfunction on neuronal excitability and signaling pathways. By combining experimental data from patch-clamp studies with computational simulations, researchers can create a more comprehensive understanding of the pathophysiological mechanisms underlying PD, ultimately guiding the development of targeted therapeutics aimed at restoring normal ion channel function and neuronal health.

In addition to traditional cell lines, induced pluripotent stem cell (iPSC) models have gained recognition for their unique value in validating findings related to PD. iPSCs can be derived from patients with specific genetic backgrounds, enabling the study of disease mechanisms in cell types that closely mimic the physiological conditions of human dopaminergic neurons. This is particularly important as many conventional cell lines, such as SH-SY5Y, may not accurately replicate the pathophysiological features of PD.¹⁰⁶ For example, research comparing LUHMES cells, a more robust dopaminergic model, with SH-SY5Y cells has shown that LUHMES cells exhibit more consistent dopaminergic characteristics and a more pronounced response to neurotoxic insults, thereby providing a more reliable platform for studying the effects of ion channel modulation in PD.¹⁰⁶ The ability to generate patient-specific iPSCs also allows for the exploration of personalized medicine approaches, where therapeutic strategies can be tailored to the unique genetic and phenotypic profiles of individuals with PD. Moreover, these models facilitate high-throughput screening of potential pharmacological agents targeting ion channels, thereby accelerating the discovery of new treatments that could mitigate the progression of neurodegeneration in PD.

In vivo experimental validation

In vivo experimental validation is essential for confirming the predictive capabilities of computational models in the context of ion channel dysfunction in PD. Animal models, particularly those utilizing rodents, serve as the primary subjects for these investigations. The comparison between computational predictions and actual physiological outcomes involves a multi-step approach. Initially, researchers employ computational models to simulate the behavior of specific ion channels implicated in PD, such as voltage-gated calcium channels and potassium channels, under various conditions. These models are based on existing data regarding ion channel dynamics and neuronal activity. Following this, in vivo experiments are conducted using animal models that exhibit PD-like symptoms, such as the 6-hydroxydopamine (6-OHDA) lesion model. This model effectively mimics the neurodegenerative processes observed in human PD, particularly the selective degeneration of dopaminergic neurons in the substantia nigra. Researchers then assess the physiological responses of these animals to pharmacological interventions designed to target the ion channels identified in the computational models. By measuring parameters such as motor function, neuronal firing rates, and neurotransmitter levels, scientists can evaluate the accuracy of their computational predictions. Discrepancies between the model outcomes and the observed results in animal subjects can provide insights into the limitations of current models and highlight the need for further refinement of computational approaches to better reflect biological realities.^69,107

Moreover, the integration of microelectrode array (MEA) technology into these validation studies has significantly enhanced our understanding of neuronal activity in animal models of PD. MEA technology allows for the simultaneous recording of electrical activity from multiple neurons, providing a comprehensive view of network dynamics in response to ion channel modulation. In the context of PD, MEAs can be utilized to monitor the effects of pharmacological agents targeting specific ion channels on dopaminergic neuron activity. For instance, researchers can observe changes in firing patterns, synaptic transmission, and network oscillations in real-time as they apply drugs that either enhance or inhibit the activity of particular ion channels. This approach not only validates computational predictions but also elucidates the underlying mechanisms of ion channel dysfunction in PD. By correlating the changes in neuronal activity observed through MEAs with behavioral outcomes in the animal models, researchers can establish a more robust link between ion channel activity and motor function. Furthermore, the ability to manipulate environmental conditions, such as ion concentrations or pharmacological agents, while recording neuronal responses in vivo allows for a more dynamic assessment of ion channel function and its implications in PD pathology.^64,108

In summary (Figure 10), the combination of computational modeling and in vivo experimental validation, particularly through the use of animal models and advanced recording technologies such as MEAs, represents a powerful strategy for understanding the role of ion channel dysfunction in PD. This integrative approach not only enhances the predictive accuracy of computational models but also provides critical insights into the pathophysiological mechanisms driving neurodegeneration in PD. Future research should focus on refining these models and further exploring the complex interactions among various ion channels and their collective impact on neuronal health and disease progression. Such efforts will pave the way for novel therapeutic strategies aimed at correcting ion channel dysfunction in PD.^38,109

Figure 10.

Model validation and experimental design

Discussion

Current research limitations

The study of ion channels in the context of PD has made significant strides, yet several methodological and conceptual limitations remain. A primary technical bottleneck in current research is the challenge of accurately modeling the complex dynamics of ion channel behavior in a living system. Ion channels are not only integral to neuronal excitability and neurotransmitter release but also interact with various intracellular signaling pathways that can be influenced by numerous factors, including oxidative stress and neuroinflammation.^34,110 The intricate nature of these interactions complicates the establishment of a clear causal link between ion channel dysfunction and the pathophysiology of PD. Moreover, existing experimental and computational models tend to oversimplify the multifaceted roles of ion channels, neglecting the influence of cellular context and varying environmental conditions that can significantly alter ion channel function and regulatory dynamics.¹¹¹

Additionally, ion channel research faces a significant challenge in balancing the complexity of computational models with the scale and quality of experimental data. While high-throughput techniques, such as patch-clamp electrophysiology and advanced imaging methods, have enhanced our understanding of ion channel kinetics and localization, they also generate vast amounts of data that can be difficult to interpret.¹¹² The integration of machine learning and artificial intelligence into data analysis has shown promise in addressing this issue, yet the application of these technologies in ion channel research remains in its early stages.¹¹³ As researchers strive to develop more sophisticated models that accurately reflect the physiological and pathological states of neurons, they must also contend with the risk of overfitting models to data, which may yield misleading conclusions about the causal role of ion channels in PD.¹⁹

Furthermore, the heterogeneity of ion channels across different cell types adds another layer of complexity. For instance, astrocytic ion channels may exhibit distinct regulatory mechanisms compared to those in neurons, which can lead to differential impacts on neuronal health and function in the context of neurodegenerative diseases.⁶⁹ This variability necessitates a more nuanced approach to studying ion channels, one that considers the cellular microenvironment and the specific roles of various ion channel subtypes in PD pathology. Current research has largely focused on voltage-gated and ligand-gated channels. However, the role of background “leak” channels, such as the sodium leak channel non-selective (NALCN), in setting resting membrane potential and neuronal excitability in PD remains under-explored.¹¹⁴ Their potential contribution to the vulnerability of dopaminergic neurons warrants future investigation. The potential for activity-dependent modifications in the axon initial segment structure or homeostatic plasticity of intrinsic excitability in PD-afflicted circuits is an emerging area.^115,116 Whether such forms of plasticity are adaptive or maladaptive in PD progression is unclear and represents a gap in current models.

Multidisciplinary research prospects

The integration of artificial intelligence (AI) and mathematical modeling into the study of ion channels in neurodegenerative diseases, particularly PD, represents a burgeoning frontier in biomedical research. AI technologies, particularly machine learning algorithms, are increasingly being employed to analyze complex datasets from electrophysiological experiments, such as those obtained through patch clamp techniques. For instance, a recent study developed an AI framework capable of classifying ion channel kinetics from whole-cell recordings with an impressive accuracy of 97.58%, demonstrating its potential to enhance the efficiency and accuracy of ion channel analysis.¹¹² By automating the detection of anomalies and classifying ion channel behavior, researchers can significantly reduce the time and resources typically required for manual analysis. Moreover, this AI-driven approach can be applied to drug screening processes, allowing for the rapid identification of compounds that modulate ion channel activity, which is particularly relevant for neurodegenerative diseases where ion channel dysfunction is a central pathological feature.¹¹¹

As the understanding of ion channels in neuronal excitability and neuroinflammation deepens, the synergy between AI and mathematical modeling is poised to catalyze the development of novel therapeutic strategies. Future computational frameworks must evolve toward genuine multiscale integration, seamlessly bridging data from molecular dynamics (e.g., elucidating drug-channel interactions), single-cell electrophysiology, circuit-level field potentials, and behavioral outputs.¹¹⁷ The role of AI will expand from analysis to active discovery. Deep learning analysis of high-content data (e.g., automated patch-clamp recording) can uncover non-linear signatures linking specific ion channel states to pathology.¹¹² Generative AI models offer promise for de novo design of novel channel modulators with optimized properties while predicting off-target risks.¹¹⁸ Integrating data from wearable sensors, non-invasive neurophysiology, and other modalities could yield dynamic signatures reflecting the functional state of specific ion channel pathways in individual patients. Concurrently, there is a pressing need to bridge the translational gap by developing objective, ion channel-centric digital biomarkers. Such biomarkers would enable precise patient stratification for clinical trials, objective progression monitoring, and could inform closed-loop adjustment of therapies such as DBS.

In addition, the fusion of organoid technology with computational models presents an innovative direction for future research. Organoids, which are three-dimensional miniaturized and simplified versions of organs, have emerged as powerful tools for studying the pathophysiology of neurodegenerative diseases. They provide a more physiologically relevant environment compared to traditional two-dimensional cell cultures, allowing for the observation of complex cellular interactions and the effects of various treatments on neuronal networks.²⁴ The integration of computational models with organoid systems can facilitate the simulation of ion channel dynamics within these complex environments, enabling researchers to predict how alterations in ion channel function may influence neuronal behavior and disease progression. For example, modeling the interactions between ion channels and neuroinflammatory processes within organoids could yield insights into the mechanisms underlying neuronal death in PD.¹⁸ Furthermore, this combined approach could also assist in the identification of biomarkers for early diagnosis and therapeutic targets, ultimately paving the way for personalized medicine strategies in treating neurodegenerative diseases. As both organoid technology and computational modeling continue to evolve, their convergence is expected to unlock new avenues for understanding the intricate relationships between ion channel dysfunction and neurodegeneration, thereby enhancing the development of effective therapeutic interventions.

In conclusion, this review synthesizes current understanding of ion channel dysfunction in Parkinson’s disease, highlighting its central role in key pathogenic mechanisms including abnormal neuronal excitability, mitochondrial impairment, oxidative stress, and neuroinflammation. We have detailed how specific alterations in Nav, Kv, Kir, SK, and Cav channels, along with ligand-gated channels (e.g., P2X7 and TRPM2), disrupt the delicate electrophysiological homeostasis of dopaminergic neurons and basal ganglia circuits, thereby contributing to both motor and non-motor symptoms. A significant focus has been placed on the growing application of mathematical modeling as an indispensable tool in PD research. From single-channel kinetic models (Hodgkin-Huxley, Markov) to complex network dynamics simulations of the basal ganglia, these computational approaches provide a framework to integrate multi-scale experimental data, test mechanistic hypotheses, and predict disease progression. Such models are instrumental in optimizing existing therapies, such as deep brain stimulation, and in silico screening of novel ion channel modulators. Despite progress, challenges remain in model complexity, data integration, and the inclusion of understudied channel families and circuit-level plasticity. The future of PD research lies in fostering multidisciplinary collaborations that bridge neuroscience, pharmacology, computational biology, and clinical neurology. The integration of AI-driven analytics, advanced human cell models (iPSCs, organoids), and multiscale computational frameworks is expected to accelerate the discovery of precision therapeutics targeting ion channels, ultimately offering hope for developing more effective strategies to slow or halt the progression of this debilitating neurodegenerative disease. Overcoming the current methodological hurdles in ion channel PD research demands a concerted, multidisciplinary strategy. By fostering deeper integration across computational neuroscience, systems biology, clinical neurology, and data science, and by championing the synergistic development of multiscale models, AI-driven discovery tools, dynamic digital biomarkers, and human model system validation platforms, the field can transition from descriptive association to predictive, mechanistic understanding. This integrative approach is fundamental for accelerating the development of targeted, personalized interventions that modulate ion channel function to alter the course of PD.

Acknowledgments

This work was supported by the National Natural Science Foundation of China (No. 82305087).

Author contributions

Conceptualization, R.W. and D.M.; methodology and investigation, R.W., and X.Z.; writing – original draft, R.W., X.Z., and D.M.; writing – review and editing, R.W. and D.M.; funding acquisition, Z.Z.; resources, Z.Z. and D.M.; supervision, R.W., Z.Z., and D.M.

Declaration of interests

The authors declare no competing interests.